A Point Cross-sectional study of Swine Flu Cases admitted at a Tertiary Level Hospital, Jaipur (Rajasthan) India-Presently in India Swine Flu cases were reported maximum from Rajasthan in this year (2015). So this study was aimed to analyzed the swine flu cases on various grounds to know the reasons for this increase. 77 swine flu cases addimited on 10.3.15 in a tertiary level hospital were interrogated. Total 2603 swine flu cases and 101 deaths were confirmed upto 10.3.15 in this current year concluding CFR 3.88%. Mean age of identified 77 swine flu cases was 41.32 ± 16.19 years with age range 1.5 to 75 years and MF ratio 0.51. Significantly more females were affected with swine flu than males but no significant age wise difference was found in males and females. Out of total 77 cases, 32.47 % were in ICU. About one third (31%) were self motivated others were from government and private health institutes. They were correctly diagnosed symptomatically in 33.77% before referred and about half of cases were advised for investigation (44.16%) for swine flu and precautions (51.95%) regarding respiratory antiquates. And 63.64% were admitted within 24 hours shows good awareness. Co morbidity was found in 57.14% of admitted cases and maximum (84%) co morbidity was found in cases admitted in ICU.
Multidrugresistant tuberculosis
Among the most menacing forms of MDR is multidrug
resistant tuberculosis (MDR-TB). WHO estimates that
were about 450,000 new cases and 170,000 deaths from
MDR-TB in 2012. The number of cases reported to
WHO rose by an alarming 35% between 2011 and 2012,
although this probably mostly reflects increased recognition
and reporting. Over half the new cases were in India,
China or the Russian Federation.3
This issue of Homeopathy features a paper by Dr Kusum
Chand and colleagues reporting a randomized, double blind,
placebo-controlled clinical trial of individualized homeopathic
treatment or placebo in addition to standard antituberculous
chemotherapy as specified by the Indian Revised
National Tuberculosis Control Program, for MDR-TB
The cost of antibiotics is always an area of concern in treating RTI. The present study was carried out to study the contribution of costs of antibiotics on the overall prescription costs in paediatric patients.
Trends on Health-Care Associated Infections and Infection Control in Estonia ...Kazimierz Murzyn
Presentation given during Cost AMiCI meeting in Tallinn Nov 2017
by Pille Märtin
Infection control doctor
West-Tallinn Central Hospital
Chief specialist
Dep. Of Communicable Diseases surveillance and control
Health Board of Estonia
A Point Cross-sectional study of Swine Flu Cases admitted at a Tertiary Level Hospital, Jaipur (Rajasthan) India-Presently in India Swine Flu cases were reported maximum from Rajasthan in this year (2015). So this study was aimed to analyzed the swine flu cases on various grounds to know the reasons for this increase. 77 swine flu cases addimited on 10.3.15 in a tertiary level hospital were interrogated. Total 2603 swine flu cases and 101 deaths were confirmed upto 10.3.15 in this current year concluding CFR 3.88%. Mean age of identified 77 swine flu cases was 41.32 ± 16.19 years with age range 1.5 to 75 years and MF ratio 0.51. Significantly more females were affected with swine flu than males but no significant age wise difference was found in males and females. Out of total 77 cases, 32.47 % were in ICU. About one third (31%) were self motivated others were from government and private health institutes. They were correctly diagnosed symptomatically in 33.77% before referred and about half of cases were advised for investigation (44.16%) for swine flu and precautions (51.95%) regarding respiratory antiquates. And 63.64% were admitted within 24 hours shows good awareness. Co morbidity was found in 57.14% of admitted cases and maximum (84%) co morbidity was found in cases admitted in ICU.
Multidrugresistant tuberculosis
Among the most menacing forms of MDR is multidrug
resistant tuberculosis (MDR-TB). WHO estimates that
were about 450,000 new cases and 170,000 deaths from
MDR-TB in 2012. The number of cases reported to
WHO rose by an alarming 35% between 2011 and 2012,
although this probably mostly reflects increased recognition
and reporting. Over half the new cases were in India,
China or the Russian Federation.3
This issue of Homeopathy features a paper by Dr Kusum
Chand and colleagues reporting a randomized, double blind,
placebo-controlled clinical trial of individualized homeopathic
treatment or placebo in addition to standard antituberculous
chemotherapy as specified by the Indian Revised
National Tuberculosis Control Program, for MDR-TB
The cost of antibiotics is always an area of concern in treating RTI. The present study was carried out to study the contribution of costs of antibiotics on the overall prescription costs in paediatric patients.
Trends on Health-Care Associated Infections and Infection Control in Estonia ...Kazimierz Murzyn
Presentation given during Cost AMiCI meeting in Tallinn Nov 2017
by Pille Märtin
Infection control doctor
West-Tallinn Central Hospital
Chief specialist
Dep. Of Communicable Diseases surveillance and control
Health Board of Estonia
Common antibiotics prescribed for acute respiratory tract infected children i...iosrphr_editor
Background: Acute respiratory infection is a common disease in children. Most cases were due to upper respiratory tract infection. Early intervention and prompt treatment of acute respiratory infections are the easiest ways to prevent complications. Objective of the study: to determine the indications, frequency, and types of antibiotics used in hospitalized paediatric patients Messellata General Hospital , Messellata, Libya and to evaluate whether the prescribed antibiotics were based on the isolation of organism and their sensitivity. Study Design: Descriptive observational hospital based study. Results and discussion: A total of 200 child patients were included over 6 months of study period, in whom antibiotics were prescribed at the time of admission. The majority were between < 2 and 8 years of age. Fever was the commonest symptom. Out of 200 encounters for patients with various acute respiratory infections, acute pharyngotonsillits were (62.5%), followed by acute laringitis (26.5%). Acute pneumonia represented by (11%) of the total acute respiratory infection cases. Penicillins were the most commonly prescribed antibiotics for acute pharyngotonsillitis among children patients (40.8% of prescriptions), followed by cephalosporins (36.0%) and aminoglycosides (23.2%). A high percentage (59.1%) of children patients diagnosed with acute pneumonia was treated with cephalosporins, whereas (27.3%) of children patients with acute pneumonia were treated with penicillins. However, only (13.6%) of children patients with acute pneumonia often treated with aminoglycosides antibiotics. In case of acute laryngitis, the antibiotic prescription rates were as follow: Penicillins (58.5%), Cephalosporis (30.2%) and aminoglycosides (11.3%).
Protective Factors for the Development of Childhood Asthma and Allergies Enco...Global Risk Forum GRFDavos
GRF One Health Summit 2012, Davos: Presentation by Prof. Charlotte Braun-Fahrländer - Professor - Swiss Tropical and Public Health Institute (Swiss TPH)
Abstract—The frequent occurrence of epidemics even after the launching of the Integrated Diseases Surveillance Programme (IDSP) was an indication toward inadequacy of the control system. These epidemics/outbreaks may be identified if disease status analysis is done properly. The aim of the this study was to find out status of some of major diseases included in the IDSP in a tertiary level hospital of western Rajasthan. It was a record-based analysis carried out in hospitals attached to SMS medical College, Jaipur (Rajasthan) India. Weekly report of IDSP in 'L' Form was collected of year 2015 from SMS Medical College, Hospitals. Data related to major diseases of IDSP were gathered from these reports. These reports were analysed in percentage and proportion. It was observed among major six diseases studied in this present study, majority of cases were of Swine flue followed by Dengue, Scrub Typhus and Malaria. There was no case of Chikungunia and Enteric Fever. When deaths due to these major six diseases were observed it was found that majority of deaths occurred due to Swine flue followed by Dengue, Scrub Typhus and Malaria. Malaria death was due to Plasmodiun Falcifarrum. Maximum PCR was of Swine flue (42.32%) followed by Dengue (29.16 %), Scrub Typhus (21.87%) and Malaria (6.65%). Maximum PDR was of Swine flue (93.08%) followed by Dengue (3.08%), Scrub Typhus (3.08%) and Malaria (0.77%). Overall Case Fatality (CFR) of these diseases was found 9.2%. Regarding variation CFR of these diseases it was found that maximum CFR was of Swine flue (20.23%) followed by Scrub Typhus (1.29%), Dengue (1.06%) and Malaria (0.97%). This variation of CFR as per the type of diseases was found with significant variation (p<0.001).So more emphasis should be given to more fatal disease like swine flue.
Evaluation Of Adverse Effects Of Antituberculosis In El-Idrissi Hospital, Ken...iosrphr_editor
The IOSR Journal of Pharmacy (IOSRPHR) is an open access online & offline peer reviewed international journal, which publishes innovative research papers, reviews, mini-reviews, short communications and notes dealing with Pharmaceutical Sciences( Pharmaceutical Technology, Pharmaceutics, Biopharmaceutics, Pharmacokinetics, Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmacognosy & Phytochemistry, Pharmacology, Pharmaceutical Analysis, Pharmacy Practice, Clinical and Hospital Pharmacy, Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics and Biotechnology of Pharmaceutical Interest........more details on Aim & Scope).
For more classes visit
www.snaptutorial.com
HSA 535 Week 11 Final Exam Part 2 -
1. Which of the following is not usually an aim of epidemiology?
2. Which of the following activities characterizes a clinical approach (as opposed to an epidemiologic approach)?
3. John Snow, author of Snow on Cholera:
4. Indicate the level of prevention that is represented by immunization against rubella
of study know the prevalence of burn in Hebron government hospitals to provide guidance for burn prevention, and to reduce
burns in Hebron and West Bank. Background Burns are a large cause of injury world. We discusses the epidemiology and result of burn patients in a big hospital and burn unite in south of west bank between 2016 and 2017 to provide directing for burn prevention
Common antibiotics prescribed for acute respiratory tract infected children i...iosrphr_editor
Background: Acute respiratory infection is a common disease in children. Most cases were due to upper respiratory tract infection. Early intervention and prompt treatment of acute respiratory infections are the easiest ways to prevent complications. Objective of the study: to determine the indications, frequency, and types of antibiotics used in hospitalized paediatric patients Messellata General Hospital , Messellata, Libya and to evaluate whether the prescribed antibiotics were based on the isolation of organism and their sensitivity. Study Design: Descriptive observational hospital based study. Results and discussion: A total of 200 child patients were included over 6 months of study period, in whom antibiotics were prescribed at the time of admission. The majority were between < 2 and 8 years of age. Fever was the commonest symptom. Out of 200 encounters for patients with various acute respiratory infections, acute pharyngotonsillits were (62.5%), followed by acute laringitis (26.5%). Acute pneumonia represented by (11%) of the total acute respiratory infection cases. Penicillins were the most commonly prescribed antibiotics for acute pharyngotonsillitis among children patients (40.8% of prescriptions), followed by cephalosporins (36.0%) and aminoglycosides (23.2%). A high percentage (59.1%) of children patients diagnosed with acute pneumonia was treated with cephalosporins, whereas (27.3%) of children patients with acute pneumonia were treated with penicillins. However, only (13.6%) of children patients with acute pneumonia often treated with aminoglycosides antibiotics. In case of acute laryngitis, the antibiotic prescription rates were as follow: Penicillins (58.5%), Cephalosporis (30.2%) and aminoglycosides (11.3%).
Protective Factors for the Development of Childhood Asthma and Allergies Enco...Global Risk Forum GRFDavos
GRF One Health Summit 2012, Davos: Presentation by Prof. Charlotte Braun-Fahrländer - Professor - Swiss Tropical and Public Health Institute (Swiss TPH)
Abstract—The frequent occurrence of epidemics even after the launching of the Integrated Diseases Surveillance Programme (IDSP) was an indication toward inadequacy of the control system. These epidemics/outbreaks may be identified if disease status analysis is done properly. The aim of the this study was to find out status of some of major diseases included in the IDSP in a tertiary level hospital of western Rajasthan. It was a record-based analysis carried out in hospitals attached to SMS medical College, Jaipur (Rajasthan) India. Weekly report of IDSP in 'L' Form was collected of year 2015 from SMS Medical College, Hospitals. Data related to major diseases of IDSP were gathered from these reports. These reports were analysed in percentage and proportion. It was observed among major six diseases studied in this present study, majority of cases were of Swine flue followed by Dengue, Scrub Typhus and Malaria. There was no case of Chikungunia and Enteric Fever. When deaths due to these major six diseases were observed it was found that majority of deaths occurred due to Swine flue followed by Dengue, Scrub Typhus and Malaria. Malaria death was due to Plasmodiun Falcifarrum. Maximum PCR was of Swine flue (42.32%) followed by Dengue (29.16 %), Scrub Typhus (21.87%) and Malaria (6.65%). Maximum PDR was of Swine flue (93.08%) followed by Dengue (3.08%), Scrub Typhus (3.08%) and Malaria (0.77%). Overall Case Fatality (CFR) of these diseases was found 9.2%. Regarding variation CFR of these diseases it was found that maximum CFR was of Swine flue (20.23%) followed by Scrub Typhus (1.29%), Dengue (1.06%) and Malaria (0.97%). This variation of CFR as per the type of diseases was found with significant variation (p<0.001).So more emphasis should be given to more fatal disease like swine flue.
Evaluation Of Adverse Effects Of Antituberculosis In El-Idrissi Hospital, Ken...iosrphr_editor
The IOSR Journal of Pharmacy (IOSRPHR) is an open access online & offline peer reviewed international journal, which publishes innovative research papers, reviews, mini-reviews, short communications and notes dealing with Pharmaceutical Sciences( Pharmaceutical Technology, Pharmaceutics, Biopharmaceutics, Pharmacokinetics, Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmacognosy & Phytochemistry, Pharmacology, Pharmaceutical Analysis, Pharmacy Practice, Clinical and Hospital Pharmacy, Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics and Biotechnology of Pharmaceutical Interest........more details on Aim & Scope).
For more classes visit
www.snaptutorial.com
HSA 535 Week 11 Final Exam Part 2 -
1. Which of the following is not usually an aim of epidemiology?
2. Which of the following activities characterizes a clinical approach (as opposed to an epidemiologic approach)?
3. John Snow, author of Snow on Cholera:
4. Indicate the level of prevention that is represented by immunization against rubella
of study know the prevalence of burn in Hebron government hospitals to provide guidance for burn prevention, and to reduce
burns in Hebron and West Bank. Background Burns are a large cause of injury world. We discusses the epidemiology and result of burn patients in a big hospital and burn unite in south of west bank between 2016 and 2017 to provide directing for burn prevention
Common antibiotics prescribed for acute respiratory tract infected children i...iosrphr_editor
Background: Acute respiratory infection is a common disease in children. Most cases were due to upper respiratory tract infection. Early intervention and prompt treatment of acute respiratory infections are the easiest ways to prevent complications. Objective of the study: to determine the indications, frequency, and types of antibiotics used in hospitalized paediatric patients Messellata General Hospital , Messellata, Libya and to evaluate whether the prescribed antibiotics were based on the isolation of organism and their sensitivity. Study Design: Descriptive observational hospital based study. Results and discussion: A total of 200 child patients were included over 6 months of study period, in whom antibiotics were prescribed at the time of admission. The majority were between < 2 and 8 years of age. Fever was the commonest symptom. Out of 200 encounters for patients with various acute respiratory infections, acute pharyngotonsillits were (62.5%), followed by acute laringitis (26.5%). Acute pneumonia represented by (11%) of the total acute respiratory infection cases. Penicillins were the most commonly prescribed antibiotics for acute pharyngotonsillitis among children patients (40.8% of prescriptions), followed by cephalosporins (36.0%) and aminoglycosides (23.2%). A high percentage (59.1%) of children patients diagnosed with acute pneumonia was treated with cephalosporins, whereas (27.3%) of children patients with acute pneumonia were treated with penicillins. However, only (13.6%) of children patients with acute pneumonia often treated with aminoglycosides antibiotics. In case of acute laryngitis, the antibiotic prescription rates were as follow: Penicillins (58.5%), Cephalosporis (30.2%) and aminoglycosides (11.3%).
Effect of Pregnancy on Quantitative Medication Use and Relation to Exacerbations in Asthma
It is well known that one-third of pregnant women with asthma experience worsened symptoms, another third improve, and the others show no change [16, 17]. Stopping or poor compliance with asthma medication may aggravate asthma in pregnancy. On the other hand, previous severe asthma can nevertheless aggravate asthma symptoms without the patient stopping their asthma medication, and naturally improved asthma during pregnancy may be well controlled despite discontinuing with asthma controllers. Most of the previous studies have, however, investigated patterns of pre- scriptions and asthma symptoms at the population level but not at the individual level. To the best of our knowledge, no studies have investigated changes at the level of asthma medications and their correlations with asthma exacerbations before, during, and after pregnancy at the individual level. For this reason, further study is needed to evaluate the effect of pregnancy on medication use and its correlation with asthma exacerbation at the individual level. We hypoth- esized that asthmatic women tend to reduce or stop the use of asthma medication during pregnancy and that the correlation with asthma exacerbation will differ according to their severity of asthma and its natural course before and during pregnancy. To prove this hypothesis, we conducted a nationwide population-based cohort study to evaluate the quantitative changes in asthma medication during three phases of pregnancy (before, during, and after pregnancy) and their correlation with asthma exacerbation.
Influenza vaccination and prevention of antimicrobial resistance - Slides by ...WAidid
The lecture presented by Professor Susanna Esposito at AMR 2019 on influenza vaccination and abuse of available antimicrobials.
To learn more, please visit www.waidid.org.
Abstract
In response to the rapidly rising intravenous opioid abuse epidemic, the United States Food and Drug Administration is currently promoting the development of prescription opioid tablets that are specifically formulated to deter abuse. Opana ER®; (Endo Pharmaceuticals) recently underwent reformulation to include a crush-resistant coating. Only recently described, illicit intravenous injection of reformulated Opana ER®; is associated with a distinctive clinical syndrome of thrombotic microangiopathy. Ten patients with the appropriate history and presenting symptoms were identified within an 8 month interval (July 2012 through February 2013) at the University of Tennessee Medical Center (UTMC) Knoxville with ICD-9 code of 446.6 (thrombotic microangiopathy) by electronic search. Review of laboratory data, electronic medical records, blood product usage, and total hospital admission charges were compiled for these individual patients. We report the clinicopathologic findings and correlating laboratory data for a group of patients presenting with thrombotic microangiopathy and documented recent history of intravenous Opana ER®; injection. We also report the economic impact and effect on blood product utilization by this study group.
Emerging concepts in pneumococcal disease prevention in India sept 2011Gaurav Gupta
Latest information about Pneumococcal disease and its prevention from Indian perspective - as of sept 2011.
Covers latest Pneumonet data, and review from other studies like IBIS, ANSORP etc.
pharmacoepidemiology is the study of use and effect of drugs in large number of population.
pharmacoepidemiology enhances or supplements the information from the preclinical studies.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
MANAGEMENT OF ATRIOVENTRICULAR CONDUCTION BLOCK.pdfJim Jacob Roy
Cardiac conduction defects can occur due to various causes.
Atrioventricular conduction blocks ( AV blocks ) are classified into 3 types.
This document describes the acute management of AV block.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Triangles of Neck and Clinical Correlation by Dr. RIG.pptx
Acetaminohen & antibiotics exposure in atopic children
1. www.medscape.com
Abstract and Introduction
Abstract
Background Our understanding of whether the use of acetaminophen and/or antibiotics in early life can cause allergic
diseases in later childhood remains inconclusive. The objective of this study was to investigate the temporal relationship
between exposure to acetaminophen and/or antibiotics in early life and the development of allergic diseases in later childhood,
using two independent birth cohorts derived from the National Health Insurance Research Database (NHIRD) in Taiwan.
Methods The authors conducted a prospective birth cohort study of 263 620 children born in 1998 and 9910 children born in
2003, separately, from the NHIRD. Exposure status of acetaminophen and/or antibiotics and potential confounding factors were
included in the analyses. Cox proportional hazards models were applied to determine the temporal relationship between
acetaminophen and/or antibiotic exposure and the development of allergic diseases.
Results We observed a positive relationship between acetaminophen and/or antibiotic exposure during the 1st year of life and
the subsequent development of the three examined allergic diseases (atopic dermatitis, asthma and allergic rhinitis) in the 1998
birth cohort, but the observed relationship of drug exposure in the 2003 cohort, especially for atopic dermatitis and asthma, was
lower than for those in the 1998 cohort and was not statistically significant.
Conclusions Our findings provide suggestive evidence that the temporal effect of exposure to acetaminophen and/or
antibiotics influences the development of common allergic diseases in later childhood. Further functional studies and/or animal
studies are needed to better understand the underlying regulatory mechanisms driving this important clinical and public health
issue.
Introduction
The World Allergy Organization White Book on Allergy 2011–2012[1] estimates that about 30–40% of the worldwide population
is affected by one or more allergic conditions such as eczema, rhino-conjunctivitis, asthma and potentially life-threatening
allergies to certain foods, drugs or other substances, which have become alarmingly common in our modern world. Despite this
dramatic increase in the worldwide prevalence of allergic diseases that has influenced all age groups over the past 20 years,
the aetiological factors influencing the development of allergic disorders still remain unknown.
Although there were regional variations in prescription rates, antibiotic use in early childhood against infection was markedly
increased in the late 1980s and early 1990s.[2] According to the 'hygiene hypothesis', it is rational to propose that an increase in
exposure to antibiotics in early life reduces exposure to microorganisms and subsequently promotes T-helper type-2 (Th2)-
predominant allergic immune responses.[3] In particular, early symptoms of asthma such as wheezing and prolonged productive
cough may be one of the reasons for the use of antibiotics in early life.[4,5] Since the late 1990s, numerous cross-sectional,
retrospective and prospective studies have been conducted to evaluate the association between early life exposure to
acetaminophen and/or antibiotics and development of asthma/allergic diseases.[4–11] However, the conclusions from these
studies have been inconsistent and controversial, and may have been a result of different study designs, different analytical
methods and the adjustment of various sets of confounding factors.
From the Phase 3 study of the International Study of Allergy and Asthma in Childhood (ISAAC), in two age groups of 6- to 7-
year olds and 13- to 14-year olds, acetaminophen use represented an important risk factor for the development of asthma[12]
as well as for other childhood allergic disorders.[13] In addition, a number of retrospective and prospective studies have
documented the association between acetaminophen exposure and asthma.[14–17] It is likely that the dramatic increase in
childhood asthma over the past 30 years may be due to the increased use of acetaminophen. However, this association was
confounded by indication (increased viral illnesses or fever that led to increases in both asthma and acetaminophen exposure),
by reverse causation (asthma itself caused pain or fever resulting in increased acetaminophen exposure) or by preferential use
of acetaminophen in asthmatic children for fear of an increased asthmatic attack as a result of the use of other anti-
inflammatory agents (i.e. aspirin).[18] Most importantly, without a randomized clinical trial, which is not ethically feasible in this
scenario, it is difficult to entangle whether the use of acetaminophen and/or antibiotics in early life can lead to the development
of allergic diseases in later childhood.
Acetaminophen and/or Antibiotic Use in Early Life and the
Development of Childhood Allergic Diseases
Jiu-Yao Wang, Li-Fan Liu, Chuan-Yu Chen, Ya-Wen Huang, Chao A Hsiung, Hui-Ju Tsai
Int J Epidemiol. 2013;42(4):1087-1099.
2. In this study, we have attempted to address this important inconclusive question using two independent 5-year-apart birth
cohorts derived from the National Health Insurance Research Database (NHIRD) in Taiwan. First, we calculated the incidence
rate of three examined allergic diseases in later childhood across four exposure groups (no use of acetaminophen or
antibiotics; only antibiotic use; only acetaminophen use; and both acetaminophen and antibiotic use) in two independent birth
cohorts (1998 birth cohort and 2003 birth cohort). Second, we assessed whether there was a dose-response effect of
acetaminophen and/or antibiotic exposure on the occurrence of atopic dermatitis, allergic rhinitis and asthma, separately.
Furthermore, we investigated the temporal relationship between the use of acetaminophen and/or antibiotics during the 1st year
of life and the development of atopic dermatitis, allergic rhinitis and asthma, respectively, in later childhood (2- to 6-year olds).
Methods
Study Population
Taiwan launched a single-payer National Health Insurance Programme (NHIP) in March 1995. Since 2000, the National Health
Insurance reimbursement claims data have been managed by the National Health Research Institutes (NHRI) in Taiwan. The
National Health Insurance Research Database (NHIRD), a medical claims database (including inpatient and outpatient
services), was established and has been released for research purposes. Specifically, the NHIRD, derived from the original
medical claims data of the NHI programme, contains all inpatient and outpatient medical claims data (including prescription
claims data) from the enrollees, who represent over 98% of the total population in Taiwan,[19] and has provided a valuable
resource, a unique opportunity and sufficient sample size to pursue the objectives addressed in this study. To ensure the
accuracy of disease diagnosis, the National Health Insurance Bureau of Taiwan has randomly reviewed medical charts of 1/100
ambulatory and 1/20 inpatient claims. The high validity of the diagnostic data from the NHIRD has been reported previously.[20]
In detail, two independent birth cohorts were used in this study. (i) The 1998 birth cohort: a total of 263 620 children born in
1998 were identified, based on birth date in the enrolment data files from the total population in the NHIRD. (ii) The 2003 birth
cohort: a total of 9910 children born in 2003 were identified, based on birth date in the enrolment data files from the
Longitudinal Health Insurance Database 2005 (LHID 2005). Of note, the 1998 birth cohort included children who were born in
1998 and enrolled in the NHIRD from Taiwan's total population; and the 2003 birth cohort identified children who were born in
2003 from the LHID 2005, a subset of the NHIRD that includes an approximately 1:23 ratio of Taiwan's total population.
Detailed information regarding the LHID 2005 and also the corresponding sampling method are provided at the following link:
http://w3.nhri.org.tw/nhird/date_cohort.htm#1
The study protocol was approved by the Institutional Review Board of the NHRI in Taiwan.
Definition of Acetaminophen and Antibiotic Uses
Information from prescription records regarding acetaminophen and antibiotic use occurring within the windows 1998–99 and
2003–04, respectively, were extracted according to Anatomic Therapeutic Chemical Classification System (ATC) codes. In
particular, the list of the examined prescriptions included acetaminophen (ATC code: N02BE01) and antibiotics (ATC code:
J01). From the prescription claims data (including acetaminophen and antibiotics), types of medication, dosage, time of
prescription and duration of drug supply were recorded from each prescription claim. The detailed list of examined antibiotics
consisted of: tetracyclines (ATC code: J01A); amphenicols (ATC code: J01B); penicillins (ATC code: J01C); other beta-lactam
antibacterials (ATC code: J01D); sulfonamides and trimethoprim (ATC code: J01E); macrolides, lincosamides and
streptogramins (ATC code: J01F); aminoglycosides (ATC code: J01G); quinolones (ATC code: J01M); and other antibiotics
(ATC code: J01X). We then documented the status of acetaminophen and antibiotics use based on the date of prescription plus
the duration of the drug supply within the windows 1998–99 and 2003–04, respectively, which would coincide with the 1st year
of life.
Definition of Examined Allergic Diseases
Three allergic diseases, atopic dermatitis, allergic rhinitis and asthma, were examined in this study. Notably, the disease
diagnoses for the NHIP were coded using A-codes, a simplified disease diagnostic coding system that was mainly used for
ambulatory care before 2000. Since 2000, the NHIP has switched the disease coding to the International Classification of
Diseases [ICD]-9-CM codes. Therefore, for the 1998 birth cohort, diagnoses of the examined allergic diseases were provided
as follows
i. atopic dermatitis: defined as at least one inpatient claim record for atopic dermatitis (A code: A429 or ICD-9 code =
691.8), or two ambulatory claims coded as A code = A429 or ICD-9 code = 493;
ii. asthma: defined as at least one inpatient claim record for asthma (A code: A323 or ICD-9 code = 493), or two
3. ambulatory claims coded as A code = A323 or ICD-9 code = 493;
iii. allergic rhinitis: defined as at least one inpatient claim record for allergic rhinitis (A code: A319 or ICD-9 code = 477), or
two ambulatory claims coded as A code = A319 or ICD-9 code = 477.
Different from the 1998 birth cohort, diagnoses of the examined allergic diseases in the 2003 birth cohort were described as
follows:
i. atopic dermatitis: defined as at least one inpatient claim record for atopic dermatitis (ICD-9 code = 691.8), or two
ambulatory claims coded ICD-9 = 691.8;[21,22]
ii. asthma: defined as at least one inpatient claim record for asthma (ICD-9 code = 493), or two ambulatory claims coded
ICD-9 = 493;[8]
iii. allergic rhinitis: defined as at least one inpatient claim record for allergic rhinitis (ICD-9 code = 477), or two ambulatory
claims coded ICD-9 = 477.[22]
Of note, we used the date of the second ambulatory claim record or the date of one inpatient claim record for time to diagnosis
for these three examined allergic diseases. Moreover, to ensure the reliability of disease diagnosis, we used the ICD-9 code,
which has been used previously for identifying subjects with atopic dermatitis, asthma and allergic rhinitis, respectively,[8,21,22]
and only included children who had at least one inpatient claim record or two ambulatory claims records for the three examined
allergic diseases.
Statistical Analyses
We computed and compared the distribution of demographic and healthcare characteristics across different medication-use
groups in both birth cohorts, separ ately. Specifically, the demographic and healthcare characteristics included: gender, enrollee
category (I–IV), geographical area at birth (northern, central, southern and eastern) and healthcare utilization (including
cumulative number of ambulatory visits and inpatient visits during the 1st year of life). Since most study subjects were
dependants of the insured beneficiaries (those paying the insurance fee, such as a child's parents, grandparents or social
welfare institution), this study used enrollee category (EC) as a proxy measure to represent the study subjects' socio-economic
status (SES). A detailed description of EC classification can be obtained elsewhere.[23] Briefly, the insurance fee for the NHIP
was determined according to enrollees' wages; therefore we classified enrollees into four ECs (EC I–EC IV), with EC I
indicating those with the highest wages compared with those in the subsequent EC groups (EC II–EC IV).
Next, we excluded children who were in the first 2 years of life, that is 1–2 years of age, and calculated among the remaining
children the incidence rates atopic dermatitis, asthma and allergic rhinitis, separately in the 1998 and 2003 birth cohorts,
respectively. Specifically, the incidence rates of atopic dermatitis, asthma and allergic rhinitis, separately, were calculated in
children aged 2 to 6 years.
Furthermore, we examined the temporal relationship between exposure to acetaminophen/antibiotics and the risk of developing
allergic diseases using the Cox proportional hazards model for both birth cohorts, separately, with and without covariates
adjustment. In detail, exposure to acetaminophen/antibiotics was classified into four groups: (i) no use of acetaminophen or
antibiotics; (ii) only antibiotic use; (iii) only acetaminophen use; and (iv) both acetaminophen and antibiotic use. Of note, only
the data related to exposure to acetaminophen/antibiotics during the 1st year of life were included.
The outcomes of interest were atopic dermatitis (yes/no), asthma (yes/no) and allergic rhinitis (yes/no); and the adjusted
covariates included: gender, EC at birth, geographical area at birth and healthcare utilization (including numbers of ambulatory
visits, inpatient visits, otitis media diagnoses and bronchitis diagnoses), separately. Children who developed allergic diseases
during the first 2 years of life were excluded in the subsequent analyses. We followed the development of examined outcomes
among the study children untill they were 6 years old. Hazard ratios (HRs) and the corresponding 95% confidence intervals
(CIs) were calculated using the 'no use of acetaminophen or antibiotics' group as the reference group. All of the analyses were
performed using SAS version 8.2 (SAS institute, Cary, NC).
Results
Study Birth Cohorts
A total of 263 620 live births from 1 January 1998 to 31 December 1998, and a total of 9910 live births from 1 January 2003 to
31 December 2003, separately, were included in this study. Similar demographic distribution was observed between the two
study birth cohorts (). Specifically, 52% were male, nearly 30% were born in an urban area, and similar distributions across the
4. four EC categories were observed for both birth cohorts. For the 1998 birth cohort: 67% had equal to or more than 13
ambulatory visits, 25% had one or more inpatient visit and 26% had a paediatric visit during the 1st year of life. For the 2003
birth cohort: 64% had equal to or more than 13 ambulatory visits, 29% had one or more inpatient visit and 28% had a paediatric
visit during the 1st year of life (). In addition, the demographic distribution across the four different medication groups (no use of
acetaminophen or antibiotics, only antibiotics, only acetaminophen, use of both drugs) between the two birth cohorts is provided
in Supplementary Table 1 (available as Supplementary data at IJE online).
Table 1. Descriptive characteristics of the 1998 and 2003 birth cohorts
1998 birth cohort (N = 263 620) 2003 birth cohort (N = 9910)
Sex
Female 126 222 (47.88%) 4731 (47.74%)
Male 137 397 (52.12%) 5179 (52.26%)
Enrollee category at birtha
I 25 758 (9.77%) 878 (8.86%)
II 120 962 (45.88%) 5061 (51.07%)
III 76 246 (28.92%) 2652 (26.76%)
IV 40 654 (15.42%) 1319 (13.31%)
Geographical area at birth
Urban 72 925 (27.66%) 2921 (29.48%)
Suburban 160 847 (61.01%) 5806 (58.59%)
Rural 24 829 (9.42%) 900 (9.08%)
Cumulative number of outpatient visits during 1st year of life
0 14 045(5.33%) 391 (3.95%)
1–6 28 676(10.88%) 1201 (12.12%)
7–12 44 254(16.79%) 1966 (19.84%)
≥13 176 645(67.01%) 6352 (64.10%)
Cumulative number of inpatient visits during 1st year of life
0 197 602 (74.96%) 7057 (71.21%)
1 49 130 (18.64%) 2076 (20.95%)
2–3 14 825 (5.62%) 680 (6.86%)
≥4 2063 (0.78%) 97 (0.98%)
Medical comorbidity during 1st year of life
Otitis media 11 084 (4.20%) 1021 (10.30%)
Bronchitis 125 761 (47.71%) 5897 (59.51%)
Specialty for clinical visits during 1st year of life
Paediatrics 224 636 (26.35%) 8925 (27.58%)
Otolaryngology 129 622 (15.21%) 4560 (14.09%)
Family Medicine 90 438 (10.61%) 3323 (10.27%)
General Medicine 61 036 (7.16%) 1555 (4.81%)
aHigher EC category indicates lower SES level.
5. Table 1. Descriptive characteristics of the 1998 and 2003 birth cohorts
1998 birth cohort (N = 263 620) 2003 birth cohort (N = 9910)
Sex
Female 126 222 (47.88%) 4731 (47.74%)
Male 137 397 (52.12%) 5179 (52.26%)
Enrollee category at birtha
I 25 758 (9.77%) 878 (8.86%)
II 120 962 (45.88%) 5061 (51.07%)
III 76 246 (28.92%) 2652 (26.76%)
IV 40 654 (15.42%) 1319 (13.31%)
Geographical area at birth
Urban 72 925 (27.66%) 2921 (29.48%)
Suburban 160 847 (61.01%) 5806 (58.59%)
Rural 24 829 (9.42%) 900 (9.08%)
Cumulative number of outpatient visits during 1st year of life
0 14 045(5.33%) 391 (3.95%)
1–6 28 676(10.88%) 1201 (12.12%)
7–12 44 254(16.79%) 1966 (19.84%)
≥13 176 645(67.01%) 6352 (64.10%)
Cumulative number of inpatient visits during 1st year of life
0 197 602 (74.96%) 7057 (71.21%)
1 49 130 (18.64%) 2076 (20.95%)
2–3 14 825 (5.62%) 680 (6.86%)
≥4 2063 (0.78%) 97 (0.98%)
Medical comorbidity during 1st year of life
Otitis media 11 084 (4.20%) 1021 (10.30%)
Bronchitis 125 761 (47.71%) 5897 (59.51%)
Specialty for clinical visits during 1st year of life
Paediatrics 224 636 (26.35%) 8925 (27.58%)
Otolaryngology 129 622 (15.21%) 4560 (14.09%)
Family Medicine 90 438 (10.61%) 3323 (10.27%)
General Medicine 61 036 (7.16%) 1555 (4.81%)
aHigher EC category indicates lower SES level.
Incidence Rate of Three Examined Allergic Diseases
The study children were followed up from age 2–6 years in both the 1998 and 2003 birth cohorts. In detail, of the children in the
1998 birth cohort: 7.2% developed atopic dermatitis (N = 19 015); 21.7% developed asthma (N = 57 328); and 31.2%
developed allergic rhinitis (N = 82 292) over the 5-year follow-up period. Likewise, in the 2003 birth cohort: 10.0% developed
atopic dermatitis (N = 987); 28.0% developed asthma (N = 2773); and 37.2% developed allergic rhinitis (N = 3691) over the 5-
year follow-up period. The incident peaks of atopic dermatitis were observed before age 3 years and gradually decreased
6. across different medication groups in both birth cohorts, separately (Figure 1a and b). The incident peak of allergic rhinitis was
observed at age 4–6 years across the four different medication groups in the 1998 birth cohort, and at age 4–5 years in the
2003 birth cohort, except for the group with no exposure to acetaminophen and antibiotics (Figures 1e and 1f). However, no
clear pattern was observed for the incident peak of asthma, but an increase in asthma incidence was observed when age
increased in the 2003 birth cohort, particularly around the age when children entered kindergarten (Figure 1d).
Figure 1.
Incidence rate of acetaminophen and/or antibiotic use for three examined atopic diseases (atopic dermatitis, asthma, allergic
7. rhinitis) in the 1998 and 2003 birth cohorts, separately
Temporal Relationship Between Acetaminophen and/or Antibiotic Use and Allergic Diseases
, and shows the results of univariate analysis of the temporal relationship between exposure to acetaminophen and/or
antibiotics and the subsequent development of the three examined allergic diseases in the 1998 and 2003 birth cohorts,
respectively. The results suggest that exposure to acetaminophen and/or antibiotics, gender (except for atopic dermatitis), EC
at birth, geographical area at birth and healthcare utilization were important risk factors affecting the development of the
examined allergic diseases in both the 1998 and 2003 birth cohorts. In addition, we also assessed the individual effect of
acetaminophen and antibiotics, respectively, on the three examined allergic diseases. The results indicate that acetaminophen
and antibiotic use, separately, have an individual effect on an increased risk of the three allergic diseases (data not shown).
Moreover, when investigating the dose-response effect, shows the dose-response relationship between exposure to
acetaminophen and antibiotics, separately, during the 1st year of life and the subsequent development of the three examined
allergic diseases in the 1998 birth cohort in the univariate analysis. A dose-response pattern was not observed, in particular for
antibiotic use, in the 2003 birth cohort ().
Table 2a. Univariate analysis of drug exposure, healthcare utilization, enrollee category and urbanization during the 1st year of
life and the subsequent development of atopic dermatitis
1998 birth cohort 2003 birth cohort
Atopic dermatitis Crude HRa Crude HRa
Drug exposure
Non-exposure ref ref
Only exposure to antibiotic drug 1.95 (1.84–2.06) 1.20 (0.86–1.68)
Only exposure to acetaminophen 2.31 (2.19–2.43) 1.19 (0.99–1.41)
Exposure to both drugs 2.70 (2.58–2.83) 1.35 (1.14–1.61)
Gender
Female ref ref
Male 1.07 (1.06–1.08) 1.06 (0.98–1.15)
EC at birthb
1 ref ref
2 0.91 (0.89–0.93) 0.82 (0.72–0.94)
3 0.85 (0.83–0.87) 0.78 (0.68–0.90)
4 0.77 (0.75–0.79) 0.66 (0.56–0.78)
Geographical area at birth
Urban ref ref
Suburban 0.96 (0.95–0.98) 0.85 (0.78–0.92)
Rural 0.94 (0.91–0.96) 0.77 (0.66–0.90)
Healthcare utilization
No. of ambulatory visits 1.02 (1.02–1.02) 1.02 (1.01–1.02)
No. of inpatient visits 1.14 (1.14–1.15) 1.11 (1.07–1.16)
No. of otitis media diagnoses 1.13 (1.12–1.13) 1.26 (1.12–1.43)
No. of bronchitis diagnoses 1.03 (1.03–1.03) 1.25 (1.15–1.35)
HR, hazard ratio; EC, enrollee category.
aSignificant results (P < 0.05) are indicated by bold text.
8. bHigher EC category indicates lower SES level
Table 2b. Univariate analysis of drug exposure, healthcare utilization, enrollee category and urbanization during the 1st year of
life and the subsequent development of asthma
1998 birth cohort 2003 birth cohort
Asthma Crude HRa Crude HRa
Drug exposure
Non-exposure ref ref
Only exposure to antibiotic drug 1.64 (1.56–1.73) 1.19 (0.89–1.58)
Only exposure to acetaminophen 1.86 (1.77–1.95) 1.31 (1.13–1.52)
Exposure to both drugs 2.33 (2.24–2.43) 1.66 (1.44–1.92)
Gender
Female ref ref
Male 1.26 (1.24–1.27) 1.33 (1.24–1.41)
EC at birthb
1 ref ref
2 0.93 (0.91–0.95) 0.92 (0.82–1.02)
3 0.91 (0.88–0.93) 0.95 (0.85–1.07)
4 0.79 (0.77–0.81) 0.74 (0.64–0.85)
Geographical area at birth
Urban ref ref
Suburban 1.00 (0.98–1.01) 1.01 (0.94–1.09)
Rural 1.02 (1.00–1.05) 1.11 (0.98–1.25)
Healthcare utilization
No. of ambulatory visits 1.02 (1.02–1.02) 1.02 (1.02–1.02)
No. of inpatient visits 1.29 (1.28–1.30) 1.24 (1.21–1.28)
No. of otitis media diagnoses 1.12 (1.11–1.13) 1.32 (1.20–1.46)
No. of bronchitis diagnoses 1.04 (1.04–1.04) 1.63 (1.52–1.75)
HR, hazard ratio; EC, enrollee category.
aSignificant results (P < 0.05) are indicated with bold text. bHigher EC category indicates lower SES leve
Table 2c. Univariate analysis of drug exposure, healthcare utilization, enrollee category and urbanization during the 1st year of
life and the subsequent development of allergic rhinitis
1998 birth cohort 2003 birth cohort
Allergic rhinitis Crude HRa Crude HRa
Drug exposure
Non-exposure ref ref
Only exposure to antibiotic drug 1.67 (1.59–1.74) 1.48 (1.17–1.88)
Only exposure to acetaminophen 1.93 (1.85–2.02) 1.42 (1.25–1.61)
9. Exposure to both drugs 2.21 (2.13–2.30) 1.69 (1.49–1.92)
Gender
Female ref ref
Male 1.23 (1.21–1.24) 1.27 (1.20–1.34)
EC at birthb
1 ref ref
2 0.88 (0.87–0.90) 0.84 (0.76–0.92)
3 0.76 (0.74–0.77) 0.77 (0.69–0.85)
4 0.67 (0.66–0.69) 0.56 (0.50–0.64)
Geographical area at birth
Urban ref ref
Suburban 0.90 (0.89–0.92) 0.89 (0.84–0.95)
Rural 0.76 (0.74–0.78) 0.78 (0.70–0.87)
Healthcare utilization
No. of ambulatory visits 1.02 (1.02–1.02) 1.02 (1.01–1.02)
No. of inpatient visits 1.15 (1.14–1.16) 1.16 (1.12–1.19)
No. of otitis media diagnoses 1.09 (1.09–1.10) 1.24 (1.14–1.36)
No. of bronchitis diagnoses 1.02 (1.02–1.02) 1.43 (1.35–1.52)
HR, hazard ratio; EC, enrollee category.
aSignificant results (P < 0.05) are indicated with bold text.
bHigher EC category indicates lower SES level.
Table 3. Dose-response relationship between exposure to acetaminophen and antibiotic exposure, separately, during the 1st
year of life and the subsequent development of atopic dermatitis, asthma and allergic rhinitis, individually, in the two birth
cohorts
1998 birth cohort
Atopic dermatitis unadjusted HR
(95% CI)
Asthma unadjusted HR
(95% CI)
Allergic rhinitis unadjusted HR
(95% CI)
Acetaminophen exposure
No. of acetaminophen prescriptions during 1st year of life
0 (reference
group)
ref ref ref
1–2 1.21 (1.17–1.24) 1.23 (1.20–1.25) 1.23 (1.20–1.25)
3–4 1.22 (1.18–1.26) 1.29 (1.26–1.32) 1.25 (1.23–1.27)
>4 1.26 (1.22–1.29) 1.29 (1.26–1.32) 1.29 (1.26–1.31)
Antibiotic exposure
No. of antibiotic prescriptions during 1st year of life
0 (reference
group)
ref ref ref
1–2 1.13 (1.10–1.17) 1.13 (1.11–1.15) 1.14 (1.12–1.16)
10. 3–4 1.16 (1.12–1.20) 1.15 (1.13–1.18) 1.14 (1.12–1.17)
>4 1.17 (1.14–1.20) 1.16 (1.14–1.18) 1.15 (1.13–1.17)
2003 birth cohort
Atopic dermatitis unadjusted HR
(95% CI)
Asthma unadjusted HR
(95% CI)
Allergic rhinitis unadjusted HR
(95% CI)
Acetaminophen exposure
No. of acetaminophen prescriptions during 1st year of life
0 (reference
group)
ref ref ref
1–2 0.98 (0.84–1.15) 1.19 (1.07–1.33) 1.15 (1.05–1.26)
3–4 1.06 (0.90–1.25) 1.32 (1.18–1.48) 1.25 (1.14–1.38)
>4 1.00 (0.85–1.17) 1.34 (1.21–1.49) 1.19 (1.08–1.30)
Antibiotic exposure
No. of antibiotic prescriptions during 1st year of life
0 (reference
group)
ref ref ref
1–2 1.00 (0.88–1.13) 1.07 (0.99–1.16) 1.08 (1.01–1.16)
3–4 1.05 (0.86–1.27) 1.23 (1.09–1.39) 1.18 (1.06–1.32)
>4 1.13 (0.92–1.39) 1.15 (1.00–1.32) 1.06 (0.93–1.20)
HR, hazard ratio. Significant results (P < 0.05) are indicated with bold text.
Table 3. Dose-response relationship between exposure to acetaminophen and antibiotic exposure, separately, during the 1st
year of life and the subsequent development of atopic dermatitis, asthma and allergic rhinitis, individually, in the two birth
cohorts
1998 birth cohort
Atopic dermatitis unadjusted HR
(95% CI)
Asthma unadjusted HR
(95% CI)
Allergic rhinitis unadjusted HR
(95% CI)
Acetaminophen exposure
No. of acetaminophen prescriptions during 1st year of life
0 (reference
group)
ref ref ref
1–2 1.21 (1.17–1.24) 1.23 (1.20–1.25) 1.23 (1.20–1.25)
3–4 1.22 (1.18–1.26) 1.29 (1.26–1.32) 1.25 (1.23–1.27)
>4 1.26 (1.22–1.29) 1.29 (1.26–1.32) 1.29 (1.26–1.31)
Antibiotic exposure
No. of antibiotic prescriptions during 1st year of life
0 (reference
group)
ref ref ref
1–2 1.13 (1.10–1.17) 1.13 (1.11–1.15) 1.14 (1.12–1.16)
3–4 1.16 (1.12–1.20) 1.15 (1.13–1.18) 1.14 (1.12–1.17)
>4 1.17 (1.14–1.20) 1.16 (1.14–1.18) 1.15 (1.13–1.17)
2003 birth cohort
11. Atopic dermatitis unadjusted HR
(95% CI)
Asthma unadjusted HR
(95% CI)
Allergic rhinitis unadjusted HR
(95% CI)
Acetaminophen exposure
No. of acetaminophen prescriptions during 1st year of life
0 (reference
group)
ref ref ref
1–2 0.98 (0.84–1.15) 1.19 (1.07–1.33) 1.15 (1.05–1.26)
3–4 1.06 (0.90–1.25) 1.32 (1.18–1.48) 1.25 (1.14–1.38)
>4 1.00 (0.85–1.17) 1.34 (1.21–1.49) 1.19 (1.08–1.30)
Antibiotic exposure
No. of antibiotic prescriptions during 1st year of life
0 (reference
group)
ref ref ref
1–2 1.00 (0.88–1.13) 1.07 (0.99–1.16) 1.08 (1.01–1.16)
3–4 1.05 (0.86–1.27) 1.23 (1.09–1.39) 1.18 (1.06–1.32)
>4 1.13 (0.92–1.39) 1.15 (1.00–1.32) 1.06 (0.93–1.20)
HR, hazard ratio. Significant results (P < 0.05) are indicated with bold text.
Furthermore, when the results were adjusted for the risk factors mentioned above, exposure to acetaminophen and/or
antibiotics during the f1st year of life remained positively associated with the development of atopic dermatitis, asthma and
allergic rhinitis, separately, in the 1998 birth cohort [adjusted hazard ratio (Adj_HR): 1.98 and 95% CI: 1.89–2.07 for use of both
acetaminophen and antibiotics in atopic dermatitis; Adj_HR: 1.73 and 95% CI: 1.66–1.81 for use of both acetaminophen and
antibiotics in asthma; Adj_HR: 1.70 and 95% CI: 1.64–1.76 for use of both acetaminophen and antibiotics in allergic rhinitis] ().
In addition, a protective effect of developing atopic dermatitis, asthma and allergic rhinitis, separately, was found among
children in the higher EC group (lower SES group), and those residing in a rural area in the 1998 birth cohort (). Interestingly,
similar results for EC at birth, and geographical area at birth, separately, were also observed in the 2003 birth cohort (), but the
observed effects of drug exposure, especially for atopic dermatitis and asthma in the 2003 cohort, were lower than those
observed in the 1998 cohort and were not statistically significant (Adj_HR: 1.03 and 95% CI: 0.86–1.24 for exposure to both
acetaminophen and antibiotics in atopic dermatitis; Adj_HR: 1.11 and 95% CI: 0.95–1.29 for exposure to both acetaminophen
and antibiotics in asthma). Additionally, when compared with the unadjusted HRs in , the adjusted HRs were lower in than the
unadjusted HRs in . Our results suggest that exposure to acetaminophen and/or antibiotics is weakly associated with an
enhanced risk of the three examined childhood allergic diseases. Of note, concerning the accuracy of the asthma diagnosis, we
further excluded children aged 2–4 years and repeated the adjusted analysis. Similar results were observed in Supplementary
Table 2 (available as Supplementary Data at IJE online).
Table 4. Relationship between acetaminophen/antibiotic exposure during the 1st year of life and the subsequent development of
atopic dermatitis, asthma and allergic rhinitis, individually, in the two birth cohorts
1998 birth cohort
Atopic dermatitis Adj_HRa
(95% CI)
Asthma Adj_HR (95%
CI)
Allergic rhinitis Adj_HR (95%
CI)
Drug exposure
Non-exposure ref ref ref
Only exposure to antibiotics 1.61 (1.53–1.70) 1.38 (1.32–1.46) 1.41 (1.35–1.47)
Only exposure to
acetaminophen
2.02 (1.92–2.13) 1.66 (1.58–1.74) 1.70 (1.63–1.77)
Exposure to both drugs 1.98 (1.89–2.07) 1.73 (1.66–1.81) 1.70 (1.64–1.76)
Gender
12. Female ref ref ref
Male 1.01 (1.00–1.03) 1.18 (1.17–1.20) 1.18 (1.16–1.19)
EC at birtha
1 ref ref ref
2 0.91 (0.89–0.93) 0.93 (0.91–0.95) 0.88 (0.86–0.89)
3 0.83 (0.81–0.85) 0.88 (0.86–0.90) 0.76 (0.75–0.78)
4 0.82 (0.80–0.85) 0.82 (0.80–0.85) 0.72 (0.70–0.74)
Geographical area at birth
Urban ref ref ref
Suburban 0.94 (0.93–0.95) 0.97 (0.95–0.98) 0.90 (0.88–0.91)
Rural 0.94 (0.92–0.97) 1.00 (0.98–1.03) 0.79 (0.77–0.81)
2003 birth cohort
Atopic dermatitis Adj_HR (95%
CI)
Asthma Adj_HR (95%
CI)
Allergic rhinitis Adj_HR (95%
CI)
Drug exposure
Non-exposure ref ref ref
Only exposure to antibiotics 1.03 (0.73–1.44) 0.96 (0.72–1.29) 1.25 (0.99–1.59)
Only exposure to
acetaminophen
1.02 (0.85–1.22) 1.04 (0.90–1.21) 1.18 (1.04–1.35)
Exposure to both drugs 1.03 (0.86–1.24) 1.11 (0.95–1.29) 1.24 (1.08–1.42)
Gender
Female ref ref ref
Male 1.01 (0.93–1.09) 1.24 (1.16–1.32) 1.20 (1.13–1.26)
EC at birtha
1 ref ref ref
2 0.81 (0.71–0.93) 0.93 (0.83–1.04) 0.83 (0.76–0.91)
3 0.79 (0.68–0.91) 0.92 (0.82–1.04) 0.76 (0.68–0.84)
4 0.70 (0.59–0.83) 0.78 (0.67–0.89) 0.59 (0.52–0.67)
Geographical area at birth
Urban ref ref ref
Suburban 0.82 (0.75–0.89) 0.96 (0.89–1.03) 0.86 (0.81–0.92)
Rural 0.75 (0.64–0.88) 1.04 (0.92–1.18) 0.79 (0.71–0.89)
Adj_HR, adjusted hazard ratio; EC, enrollee category. Significant results (P < 0.05) are indicated with bold text. Adj_HR values
have been adjusted for all other variables listed in the table, plus healthcare utilization (including no. of ambulatory visits, no. of
inpatient visits, no. of otitis media diagnoses and no. of bronchitis diagnoses).
aHigher EC category indicates lower SES level.
Table 4. Relationship between acetaminophen/antibiotic exposure during the 1st year of life and the subsequent development of
atopic dermatitis, asthma and allergic rhinitis, individually, in the two birth cohorts
1998 birth cohort
14. Rural 0.75 (0.64–0.88) 1.04 (0.92–1.18) 0.79 (0.71–0.89)
Adj_HR, adjusted hazard ratio; EC, enrollee category. Significant results (P < 0.05) are indicated with bold text. Adj_HR values
have been adjusted for all other variables listed in the table, plus healthcare utilization (including no. of ambulatory visits, no. of
inpatient visits, no. of otitis media diagnoses and no. of bronchitis diagnoses).
aHigher EC category indicates lower SES level.
Table 4. Relationship between acetaminophen/antibiotic exposure during the 1st year of life and the subsequent development of
atopic dermatitis, asthma and allergic rhinitis, individually, in the two birth cohorts
1998 birth cohort
Atopic dermatitis Adj_HRa
(95% CI)
Asthma Adj_HR (95%
CI)
Allergic rhinitis Adj_HR (95%
CI)
Drug exposure
Non-exposure ref ref ref
Only exposure to antibiotics 1.61 (1.53–1.70) 1.38 (1.32–1.46) 1.41 (1.35–1.47)
Only exposure to
acetaminophen
2.02 (1.92–2.13) 1.66 (1.58–1.74) 1.70 (1.63–1.77)
Exposure to both drugs 1.98 (1.89–2.07) 1.73 (1.66–1.81) 1.70 (1.64–1.76)
Gender
Female ref ref ref
Male 1.01 (1.00–1.03) 1.18 (1.17–1.20) 1.18 (1.16–1.19)
EC at birtha
1 ref ref ref
2 0.91 (0.89–0.93) 0.93 (0.91–0.95) 0.88 (0.86–0.89)
3 0.83 (0.81–0.85) 0.88 (0.86–0.90) 0.76 (0.75–0.78)
4 0.82 (0.80–0.85) 0.82 (0.80–0.85) 0.72 (0.70–0.74)
Geographical area at birth
Urban ref ref ref
Suburban 0.94 (0.93–0.95) 0.97 (0.95–0.98) 0.90 (0.88–0.91)
Rural 0.94 (0.92–0.97) 1.00 (0.98–1.03) 0.79 (0.77–0.81)
2003 birth cohort
Atopic dermatitis Adj_HR (95%
CI)
Asthma Adj_HR (95%
CI)
Allergic rhinitis Adj_HR (95%
CI)
Drug exposure
Non-exposure ref ref ref
Only exposure to antibiotics 1.03 (0.73–1.44) 0.96 (0.72–1.29) 1.25 (0.99–1.59)
Only exposure to
acetaminophen
1.02 (0.85–1.22) 1.04 (0.90–1.21) 1.18 (1.04–1.35)
Exposure to both drugs 1.03 (0.86–1.24) 1.11 (0.95–1.29) 1.24 (1.08–1.42)
Gender
Female ref ref ref
Male 1.01 (0.93–1.09) 1.24 (1.16–1.32) 1.20 (1.13–1.26)
15. EC at birtha
1 ref ref ref
2 0.81 (0.71–0.93) 0.93 (0.83–1.04) 0.83 (0.76–0.91)
3 0.79 (0.68–0.91) 0.92 (0.82–1.04) 0.76 (0.68–0.84)
4 0.70 (0.59–0.83) 0.78 (0.67–0.89) 0.59 (0.52–0.67)
Geographical area at birth
Urban ref ref ref
Suburban 0.82 (0.75–0.89) 0.96 (0.89–1.03) 0.86 (0.81–0.92)
Rural 0.75 (0.64–0.88) 1.04 (0.92–1.18) 0.79 (0.71–0.89)
Adj_HR, adjusted hazard ratio; EC, enrollee category. Significant results (P < 0.05) are indicated with bold text. Adj_HR values
have been adjusted for all other variables listed in the table, plus healthcare utilization (including no. of ambulatory visits, no. of
inpatient visits, no. of otitis media diagnoses and no. of bronchitis diagnoses).
aHigher EC category indicates lower SES level.
Table 2a. Univariate analysis of drug exposure, healthcare utilization, enrollee category and urbanization during the 1st year of
life and the subsequent development of atopic dermatitis
1998 birth cohort 2003 birth cohort
Atopic dermatitis Crude HRa Crude HRa
Drug exposure
Non-exposure ref ref
Only exposure to antibiotic drug 1.95 (1.84–2.06) 1.20 (0.86–1.68)
Only exposure to acetaminophen 2.31 (2.19–2.43) 1.19 (0.99–1.41)
Exposure to both drugs 2.70 (2.58–2.83) 1.35 (1.14–1.61)
Gender
Female ref ref
Male 1.07 (1.06–1.08) 1.06 (0.98–1.15)
EC at birthb
1 ref ref
2 0.91 (0.89–0.93) 0.82 (0.72–0.94)
3 0.85 (0.83–0.87) 0.78 (0.68–0.90)
4 0.77 (0.75–0.79) 0.66 (0.56–0.78)
Geographical area at birth
Urban ref ref
Suburban 0.96 (0.95–0.98) 0.85 (0.78–0.92)
Rural 0.94 (0.91–0.96) 0.77 (0.66–0.90)
Healthcare utilization
No. of ambulatory visits 1.02 (1.02–1.02) 1.02 (1.01–1.02)
No. of inpatient visits 1.14 (1.14–1.15) 1.11 (1.07–1.16)
No. of otitis media diagnoses 1.13 (1.12–1.13) 1.26 (1.12–1.43)
No. of bronchitis diagnoses 1.03 (1.03–1.03) 1.25 (1.15–1.35)
16. HR, hazard ratio; EC, enrollee category.
aSignificant results (P < 0.05) are indicated by bold text.
bHigher EC category indicates lower SES level
Table 4. Relationship between acetaminophen/antibiotic exposure during the 1st year of life and the subsequent development of
atopic dermatitis, asthma and allergic rhinitis, individually, in the two birth cohorts
1998 birth cohort
Atopic dermatitis Adj_HRa
(95% CI)
Asthma Adj_HR (95%
CI)
Allergic rhinitis Adj_HR (95%
CI)
Drug exposure
Non-exposure ref ref ref
Only exposure to antibiotics 1.61 (1.53–1.70) 1.38 (1.32–1.46) 1.41 (1.35–1.47)
Only exposure to
acetaminophen
2.02 (1.92–2.13) 1.66 (1.58–1.74) 1.70 (1.63–1.77)
Exposure to both drugs 1.98 (1.89–2.07) 1.73 (1.66–1.81) 1.70 (1.64–1.76)
Gender
Female ref ref ref
Male 1.01 (1.00–1.03) 1.18 (1.17–1.20) 1.18 (1.16–1.19)
EC at birtha
1 ref ref ref
2 0.91 (0.89–0.93) 0.93 (0.91–0.95) 0.88 (0.86–0.89)
3 0.83 (0.81–0.85) 0.88 (0.86–0.90) 0.76 (0.75–0.78)
4 0.82 (0.80–0.85) 0.82 (0.80–0.85) 0.72 (0.70–0.74)
Geographical area at birth
Urban ref ref ref
Suburban 0.94 (0.93–0.95) 0.97 (0.95–0.98) 0.90 (0.88–0.91)
Rural 0.94 (0.92–0.97) 1.00 (0.98–1.03) 0.79 (0.77–0.81)
2003 birth cohort
Atopic dermatitis Adj_HR (95%
CI)
Asthma Adj_HR (95%
CI)
Allergic rhinitis Adj_HR (95%
CI)
Drug exposure
Non-exposure ref ref ref
Only exposure to antibiotics 1.03 (0.73–1.44) 0.96 (0.72–1.29) 1.25 (0.99–1.59)
Only exposure to
acetaminophen
1.02 (0.85–1.22) 1.04 (0.90–1.21) 1.18 (1.04–1.35)
Exposure to both drugs 1.03 (0.86–1.24) 1.11 (0.95–1.29) 1.24 (1.08–1.42)
Gender
Female ref ref ref
Male 1.01 (0.93–1.09) 1.24 (1.16–1.32) 1.20 (1.13–1.26)
EC at birtha
17. 1 ref ref ref
2 0.81 (0.71–0.93) 0.93 (0.83–1.04) 0.83 (0.76–0.91)
3 0.79 (0.68–0.91) 0.92 (0.82–1.04) 0.76 (0.68–0.84)
4 0.70 (0.59–0.83) 0.78 (0.67–0.89) 0.59 (0.52–0.67)
Geographical area at birth
Urban ref ref ref
Suburban 0.82 (0.75–0.89) 0.96 (0.89–1.03) 0.86 (0.81–0.92)
Rural 0.75 (0.64–0.88) 1.04 (0.92–1.18) 0.79 (0.71–0.89)
Adj_HR, adjusted hazard ratio; EC, enrollee category. Significant results (P < 0.05) are indicated with bold text. Adj_HR values
have been adjusted for all other variables listed in the table, plus healthcare utilization (including no. of ambulatory visits, no. of
inpatient visits, no. of otitis media diagnoses and no. of bronchitis diagnoses).
aHigher EC category indicates lower SES level.
Table 2a. Univariate analysis of drug exposure, healthcare utilization, enrollee category and urbanization during the 1st year of
life and the subsequent development of atopic dermatitis
1998 birth cohort 2003 birth cohort
Atopic dermatitis Crude HRa Crude HRa
Drug exposure
Non-exposure ref ref
Only exposure to antibiotic drug 1.95 (1.84–2.06) 1.20 (0.86–1.68)
Only exposure to acetaminophen 2.31 (2.19–2.43) 1.19 (0.99–1.41)
Exposure to both drugs 2.70 (2.58–2.83) 1.35 (1.14–1.61)
Gender
Female ref ref
Male 1.07 (1.06–1.08) 1.06 (0.98–1.15)
EC at birthb
1 ref ref
2 0.91 (0.89–0.93) 0.82 (0.72–0.94)
3 0.85 (0.83–0.87) 0.78 (0.68–0.90)
4 0.77 (0.75–0.79) 0.66 (0.56–0.78)
Geographical area at birth
Urban ref ref
Suburban 0.96 (0.95–0.98) 0.85 (0.78–0.92)
Rural 0.94 (0.91–0.96) 0.77 (0.66–0.90)
Healthcare utilization
No. of ambulatory visits 1.02 (1.02–1.02) 1.02 (1.01–1.02)
No. of inpatient visits 1.14 (1.14–1.15) 1.11 (1.07–1.16)
No. of otitis media diagnoses 1.13 (1.12–1.13) 1.26 (1.12–1.43)
No. of bronchitis diagnoses 1.03 (1.03–1.03) 1.25 (1.15–1.35)
HR, hazard ratio; EC, enrollee category.
18. aSignificant results (P < 0.05) are indicated by bold text.
bHigher EC category indicates lower SES level
Discussion
The natural history of allergic diseases in childhood has been portrayed as a result of the interplay of genetic factors and
environmental exposures[24] such as allergens, infections and air-pollutant stimulation that lead to aberrant immune
development (Th2 allergic immune response) of the host and manifest as mucosal membrane inflammation in the gut (food
allergy), on the skin (atopic dermatitis) and in the upper and lower respiratory tracts (allergic rhinitis and asthma). Still, the most
controversial, unsettled part of this allergy model is the what, how and when—in relation to the environmental factors that cause
children to develop atopy.[25] In this study, using two independent birth cohorts 5 years apart and derived from the NHIRD, our
results indicate that exposure to acetaminophen and/or antibiotics in the 1st year of life may have long and profound effects on
the subsequent development of allergic diseases in later childhood.
Whereas the adverse effect of acetaminophen/antibiotics use on the development of asthma has been well documented,
[4,6,12,13,26–31] only limited studies have simultaneously investigated the effect of acetaminophen and antibiotics use on the
development of childhood allergic diseases. One recent study showed that exposure to acetaminophen and antibiotics in the
1st year was associated with an increased risk of transient and persistent asthma, but not with late-onset asthma.[10] However,
the study also found that the association of early acetaminophen and antibiotics use to wheezing at school age was due to
confounding (through infection), not a direct (causal) effect.[10] In contrast, in this study we found that early acetaminophen and
antibiotics use might increase the occurrence of allergic diseases in later childhood in the 1998 birth cohort, especially for
children without respiratory tract infection in the 1st year of life.
Numerous observational studies have examined the association of acetaminophen and/or antibiotic use with allergic diseases
in childhood using various approaches, for example, cross-sectional questionnaire by recall history,[12,13] birth cohort of a
targeted population[27,31] and nationwide prescribed drug registry database.[10] Generally, cross-sectional epidemiological
studies can only document an association between acetaminophen and/or antibiotic exposure and allergic diseases, but cannot
prove the temporal relationship of acetaminophen and/or antibiotic use with allergy or asthma. In addition, using asthma as an
example, the association between acetaminophen and/or antibiotic exposure and asthma might also be confounded: (i) by
indication (increased viral illnesses or fever leading to both asthma and acetaminophen and/or antibiotic exposure); (ii) by
reverse causation (asthma itself causing pain or fever resulting in increasing acetaminophen and/or antibiotic exposure); or (iii)
by preferential use of acetaminophen and/or antibiotics by children at greatest risk for asthma because of the fear that
alternative treatments (i.e. aspirin or other anti-inflammatory agents) might increase asthma symptoms.[32] For instance,
Almqvist et al. [10] previously reported that reverse causation or confounding by indication due to the link between respiratory
tract infections and asthma may partially explain an association between antibiotic use and asthma.[5,33] Distinctively from
previous studies, we investigated the temporal relationship between exposure to acetaminophen and/or antibiotics and the
development of allergic diseases using two independent 5-year-apart birth cohorts. Interestingly, a positive temporal
relationship was observed between exposure to acetaminophen/antibiotics and allergic diseases in the 1998 birth cohort, but
was not statistically significant in the 2003 birth cohort.
Despite the positive associations reported in numerous studies, findings from different studies have been controversial. For
example, Lowe et al. observed a weak association between early paracetamol use and risk of childhood asthma, but this
association vanished after adjustment for respiratory tract infections.[34] Schnabel et al. reported similar conclusions that the
increased frequency of respiratory tract infections, not the paracetamol medication, was associated with asthma development.
[35] In addition, Rusconi et al. suggested that the observed association of prenatal exposure to paracetamol and antibiotics with
subsequent development of wheezing/asthma was likely explained by confounding factors.[36] Moreover, Heintze and Petersen
suggested that the association of acetaminophen and/or antibiotics with childhood asthma was related to various forms of bias.
[37]
On the other hand, the observed effects of acetaminophen and/or antibiotic exposure on the development of allergic diseases
are biologically plausible. Previous reports have demonstrated that acetaminophen may be involved in the etiology of asthma
through glutathione depletion in the lung and reduced antioxidant capacity.[38,39] This depletion may also cause a shift from Th1
to Th2 cytokine production, favouring allergic disorders.[39] Alternatively, acetaminophen might influence COX-2 activity and
production of prostaglandins E2,[40] which in turn favour a Th2 immune dominance. Moreover, non-discriminative use of
antibiotics may disturb microflora residing in the gastrointestinal tract and therefore jeopardize the development of oral
tolerance and regulatory T cell immune responses that may prevent allergen sensitization.[41] Further investigations to improve
our understanding of the observed effects of acetaminophen and antibiotic exposure are merited.
19. Compared with previous studies, the strengths of our study include, first, the ability to examine the temporal relationship
between acetaminophen/antibiotic use and the development of allergic diseases in two independent 5-year apart birth cohorts
derived from the NHRID, which covers 98% of Taiwan's total population. As a result, this large sample size allowed us to
assess the temporal relationship between exposure to acetaminophen and/or antibiotics during the 1st year of life and the
subsequent development of three allergic diseases (atopic dermatitis, asthma and allergic rhinitis, examined individually).
Second, to account for potential confounding by indication due to respiratory tract infections, we performed further analyses by
stratifying the status of respiratory tract infections. As presented in Supplementary Table 3 (available as Supplementary data at
IJE online), the effect of acetaminophen and/or antibiotics persisted in the subgroup for non-respiratory infections in the 1998
cohort. Third, this study is one of few studies to simultaneously examine the temporal effect of exposure to acetaminophen
and/or antibiotics on the development of allergic diseases in an Asian population.
On the other hand, several limitations should be noted and the results should be interpreted with caution. First, based on the
use of registry claims data, the reliability and validity of diagnosis for the three examined allergic diseases (atopic dermatitis,
asthma and allergic rhinitis) remain a major concern. At present, laboratory/biochemical data are not available in the NHIRD,
which means that IgE data were not available for our study. To ensure the validity of disease diagnosis, we used the previously
reported ICD-9-CM codes to identify children with allergic disease, which have been similarly applied by other groups in
Canada and the USA.[8,21,22] Moreover, to ensure the reliability, we only included children who had at least one inpatient claim
record or two ambulatory claims records from age 2–6 years. As such, even though it is likely that we may still have
misclassified the disease diagnosis, it should be undifferentiated and would reduce the estimated risk. Second, some clinical
information such as the severity of atopic dermatitis, asthma and allergic rhinitis was not available in the NHIRD. For example, it
is likely that children with mild clinical symptoms of allergic diseases may not be captured and accurately recorded by insurance
medical claims data. However, the potential misclassification would be undifferentiated, and this would induce bias toward the
null. Third, antibiotic drugs cannot be obtained without a prescription from a physician, but some acetaminophen is an over-the-
counter medication. In Taiwan, most parents will not let their children take acetaminophen without a prescription from a
paediatrician, especially during the first several years of life. Even so, we could not totally exclude this potential
misclassification. However, such misclassification would be undifferentiated in both groups and would reduce the estimated risk.
Fourth, a certain number of potential confounders, such as family history of atopy and household smoking, were not available in
the NHIRD. However, the observed estimated risks in this study were comparable to those in previous studies[8,42] but the
results might still be partially explained by those unadjusted confounders. Lastly, NHIRD only provided information related to
dispensing; the information for indication of use was not recorded in the database. Since non-compliance has been considered
as a potential confounder, caution should be applied when comparing our findings with the results reported by other groups, in
which data were collected from clinical settings.
In summary, our findings provide suggestive evidence that the temporal effect of acetaminophen and/or antibiotic exposure
influences the development of common childhood allergic diseases. Further functional studies and/or animal studies will be
needed to validate the findings of this study and to provide a better understanding of the underlying regulatory mechanisms of
this important clinical and public health issue affecting at-risk children.[32,43]
Sidebar
Key Messages
Findings from this study provide suggestive evidence that the temporal effect of exposure to acetaminophen and/or
antibiotics influences the development of common allergic diseases in later childhood.
The observed effect of acetaminophen and/or antibiotic use on the development of common allergic diseases in later
childhood persisted in children without respiratory tract infection during the 1st year of life.
Further functional studies and/or animal studies are needed to better understand the underlying regulatory mechanisms
of this important clinical and public health issue.
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