1) Diabetes is identified as a risk factor for worse outcomes from COVID-19 based on studies from China. Mortality was 10% in COVID-19 patients with diabetes versus 2.5% for non-diabetic patients.
2) People with diabetes have an increased risk of severe COVID-19 infection due to defects in innate immunity from hyperglycemia and an increased inflammatory response.
3) The interaction between the SARS-CoV-2 virus and the renin-angiotensin-aldosterone system, which regulates blood pressure and fluid balance, may help explain the link between diabetes, hypertension, and increased COVID-19 severity. The virus relies on binding to ACE2 receptors to infect
Diabetes mellitus is a risk factor for first ever and recurrent strokes. Sugar control is important to prevent strokes and its recurrence. Strict sugar control in acute stroke setting is not useful. Moderate sugar control is preferred.
Learning objectives:
Understand the definition, causes, symptoms, risk factors of type 1 Diabetes.
Understand the definition, causes, symptoms, risk factors of type 2 Diabetes.
Understand the definition, causes, symptoms of Gestational Diabetes.
lecture about diabetes mellitus for undergraduated student, master student
its include definition of diabetes, type 1 diabetes, type2, gestational, diagnosis criteria, complication, world day
Diabetes mellitus is a risk factor for first ever and recurrent strokes. Sugar control is important to prevent strokes and its recurrence. Strict sugar control in acute stroke setting is not useful. Moderate sugar control is preferred.
Learning objectives:
Understand the definition, causes, symptoms, risk factors of type 1 Diabetes.
Understand the definition, causes, symptoms, risk factors of type 2 Diabetes.
Understand the definition, causes, symptoms of Gestational Diabetes.
lecture about diabetes mellitus for undergraduated student, master student
its include definition of diabetes, type 1 diabetes, type2, gestational, diagnosis criteria, complication, world day
Monkeypox is a rare zoonosis caused by monkeypox virus. This disease is similar to smallpox disease but with lesser severity. This disease is common among Africans. It can be prevented by avoiding contact with contaminated animal and human fluids as well as respiratory droplets. It require a multidisciplinary approach to achieve cure and prevention.
MODY is the name given to a collection of different types of inherited forms of diabetes that usually develop in adolescence or early adulthood.
MODY stands for “Maturity-onset diabetes of the young” and was given that name in the past because it acted more like the adult type of diabetes (Type 2 Diabetes) but was found in young people.
MODY limits the body’s ability to produce insulin, but is different than the juvenile type of diabetes (Type 1 Diabetes).
When our bodies don’t produce enough insulin, it can increase blood glucose levels. High blood glucose levels lead to diabetes.
All what you have to know about Diabetes MellitusYapa
All what you have to know about Diabetes Mellitus is here.Introduction of Diabetes,Regulation of blood glucose,Predisposing factors of DM,Clinical presentation,DM and pregnancy ,Diabetes ketoacidosis ,Complications of DM ,Diagnosis ,Dietary management of DM & Prevention of DM.
Student seminar on Diabetes Mellitus presented by 2007/2008 Batch students of Faculty of Medicine,University of Peradeniya,Sri Lanka.
Advances and Management of Diabetes MellitusPratiksha Doke
Diabetes mellitus is an endocrinological and/or metabolic disorder with an increasing global prevalence and incidence. High blood glucose levels are symptomatic of diabetes mellitus as a consequence of inadequate pancreatic insulin secretion or poor insulin-directed mobilization of glucose by target cells. Diabetes mellitus is aggravated by and associated with metabolic complications that can subsequently lead to premature death. This presentation explores diabetes mellitus in terms of its types, causes and management interventions for improved lifestyle for patient.
Γρηγόριος Γεροτζιάφας, Health Innovation Conference 2021Starttech Ventures
Ομιλία – Παρουσίαση:“Artificial intelligence and personalised medicine for patients at high risk of severe COVID-19”
Γρηγόριος Γεροτζιάφας, Καθηγητής Αιματολογίας, Ιατρική σχολή της Σορβόνης, Υπεύθυνος, Τμήμα Θρόμβωσης, Νοσοκομείο Tenon, Παρίσι & Διευθυντής, Ερευνητική Ομάδα Καρκίνος και Θρόμβωση INSERM U938
Monkeypox is a rare zoonosis caused by monkeypox virus. This disease is similar to smallpox disease but with lesser severity. This disease is common among Africans. It can be prevented by avoiding contact with contaminated animal and human fluids as well as respiratory droplets. It require a multidisciplinary approach to achieve cure and prevention.
MODY is the name given to a collection of different types of inherited forms of diabetes that usually develop in adolescence or early adulthood.
MODY stands for “Maturity-onset diabetes of the young” and was given that name in the past because it acted more like the adult type of diabetes (Type 2 Diabetes) but was found in young people.
MODY limits the body’s ability to produce insulin, but is different than the juvenile type of diabetes (Type 1 Diabetes).
When our bodies don’t produce enough insulin, it can increase blood glucose levels. High blood glucose levels lead to diabetes.
All what you have to know about Diabetes MellitusYapa
All what you have to know about Diabetes Mellitus is here.Introduction of Diabetes,Regulation of blood glucose,Predisposing factors of DM,Clinical presentation,DM and pregnancy ,Diabetes ketoacidosis ,Complications of DM ,Diagnosis ,Dietary management of DM & Prevention of DM.
Student seminar on Diabetes Mellitus presented by 2007/2008 Batch students of Faculty of Medicine,University of Peradeniya,Sri Lanka.
Advances and Management of Diabetes MellitusPratiksha Doke
Diabetes mellitus is an endocrinological and/or metabolic disorder with an increasing global prevalence and incidence. High blood glucose levels are symptomatic of diabetes mellitus as a consequence of inadequate pancreatic insulin secretion or poor insulin-directed mobilization of glucose by target cells. Diabetes mellitus is aggravated by and associated with metabolic complications that can subsequently lead to premature death. This presentation explores diabetes mellitus in terms of its types, causes and management interventions for improved lifestyle for patient.
Γρηγόριος Γεροτζιάφας, Health Innovation Conference 2021Starttech Ventures
Ομιλία – Παρουσίαση:“Artificial intelligence and personalised medicine for patients at high risk of severe COVID-19”
Γρηγόριος Γεροτζιάφας, Καθηγητής Αιματολογίας, Ιατρική σχολή της Σορβόνης, Υπεύθυνος, Τμήμα Θρόμβωσης, Νοσοκομείο Tenon, Παρίσι & Διευθυντής, Ερευνητική Ομάδα Καρκίνος και Θρόμβωση INSERM U938
The coronavirus infection coronavirus disease 2019 (COVID-19) first presented as an outbreak of atypical pneumonia in Wuhan, China, on December 12, 2019.1,2 Since then, it has spread globally to infect >1 963 943 individuals and killed >123 635 in >200 countries as of April 14, 2020. This infection has affected health and the economy worldwide on an unprecedented scale.
Covid 19 and the cardiovascular system implications for risk assessment dia...Ramachandra Barik
The novel coronavirus disease (COVID-19) outbreak, caused by SARS-CoV-2, represents the greatest medical challenge in decades. We provide a comprehensive review of the clinical course of COVID-19, its comorbidities, and
mechanistic considerations for future therapies. While COVID-19 primarily affects the lungs, causing interstitial
pneumonitis and severe acute respiratory distress syndrome (ARDS), it also affects multiple organs, particularly the
cardiovascular system. Risk of severe infection and mortality increase with advancing age and male sex. Mortality is
increased by comorbidities: cardiovascular disease, hypertension, diabetes, chronic pulmonary disease, and cancer.
The most common complications include arrhythmia (atrial fibrillation, ventricular tachyarrhythmia, and ventricular
fibrillation), cardiac injury [elevated highly sensitive troponin I (hs-cTnI) and creatine kinase (CK) levels], fulminant
myocarditis, heart failure, pulmonary embolism, and disseminated intravascular coagulation (DIC). Mechanistically,
SARS-CoV-2, following proteolytic cleavage of its S protein by a serine protease, binds to the transmembrane
angiotensin-converting enzyme 2 (ACE2) —a homologue of ACE—to enter type 2 pneumocytes, macrophages,
perivascular pericytes, and cardiomyocytes. This may lead to myocardial dysfunction and damage, endothelial dysfunction, microvascular dysfunction, plaque instability, and myocardial infarction (MI). While ACE2 is essential for viral invasion, there is no evidence that ACE inhibitors or angiotensin receptor blockers (ARBs) worsen prognosis.
Hence, patients should not discontinue their use. Moreover, renin–angiotensin–aldosterone system (RAAS) inhibitors might be beneficial in COVID-19. Initial immune and inflammatory responses induce a severe cytokine storm
[interleukin (IL)-6, IL-7, IL-22, IL-17, etc.] during the rapid progression phase of COVID-19. Early evaluation and
continued monitoring of cardiac damage (cTnI and NT-proBNP) and coagulation (D-dimer) after hospitalization
may identify patients with cardiac injury and predict COVID-19 complications. Preventive measures
NCCR 2020: Conference Of Very Important Disease (COVID-19) | 24 - 26 August 2020
Young Investigator Awards Presentation
Wan Shakira Bt Rodzlan Hasani
(Institute for Public Health, NIH)
https://doi.org/10.5281/zenodo.4004583
Monitoring Cellular Immune Response in Real Time with Next Generation Immunoa...InsideScientific
To learn more and watch the webinar, go to:
https://insidescientific.com/webinar/monitoring-cellular-immune-response-in-real-time-with-next-generation-immunoassays-on-the-ella-platform/
Experts discuss the use of Simple Plex immunoassays on Ella to monitor the cellular immune response to SARS-CoV-2 in real time.
Ella enables the rapid and high quality cytokine and pro inflammatory biomarker monitoring in support of disease severity and progression research in a multi-analyte, automated and standardized format.
Carmen Cámara Hijón, PhD – Usefulness of Cytokine Measurement to Support Decision-Making in Patients with COVID-19
The correct characterization of the immune response induced by SARS-Cov-2 includes the pattern of cytokines in peripheral blood. Dr. Carmen Camara discusses how assaying cytokine profiles allows us not only to establish a cause-effect relationship in unusual conditions (e.g. chiblain lesions and COVID-19) but even to make therapeutic decisions in some of them (e.g. pediatric multisystemic inflammatory syndrome).
She also describes a fast and cost-efficient method of measuring the cellular response induced by vaccines by measuring IFN-γ and IL-2 after whole-blood overnight stimulation with SARS-CoV-2 peptides, to identify the correlate of immunity in patients at risk, such as those with primary immunodeficiencies.
Martina Fabris, MD – Cytokines and COVID-19: The Value in Risk Stratification Within the First 72 Hours of Hospitalization
It is increasingly clear that the immune response to COVID-19, and not the pathogen itself, is responsible for the exaggerated release of inflammatory molecules during infection. Several cytokines play a key role in SARS-CoV-2 pathogenesis and can help to identify patients with worse prognosis or in a different phase of the pathological process. However, these cytokines can be difficult to assay, and we do not yet understand their relationship with classic inflammatory markers like CRP.
Dr. Martina Fabris discusses which cytokines, alongside standard markers of systemic inflammation, are most valuable in identifying patients at a high risk of an unfavorable outcome, and on the other hand, low-risk patients who can reasonably be discharged from the hospital. She also describes the challenge of using these new biomarkers effectively in daily clinical practice to support complicated diagnoses, to evaluate risk more effectively, and to ensure increasingly targeted therapies.
DISCLAIMER: The Ella™ automated immunoassay platform is currently offered for research use only; not for use in diagnostic procedures.
Infertility is defined as the inability of a couple to conceive after at least one year of regular unprotected intercourse.
Male infertility refers to a male's inability to cause pregnancy in a fertile female.
IDD situation in our country has improved
A good number of thyroid disorder patients are either undiagnosed and or untreated
Thyroid disorder in pregnancy- Rate high
As a sound thyroid functioning status is crucial for growth, development in children; reproduction, psychological and general wellbeing in adults, we must be proactive in screening, diagnosing and treating our patients.
Over the past several years it has been proved that maternal thyroid disorder influence the outcome of mother and fetus, during and also after pregnancy. The most frequent thyroid disorder in pregnancy is maternal hypothyroidism. It is associated with fetal loss, placental abruptions, pre-eclampsia, preterm delivery and reduced intellectual function in the offspring.1 In pregnancy, overt hypothyroidism is seen in 0.2% cases2 and sub clinical hypothyroidism in 2.3% cases3. Fetal loss, fetal growth restriction, pre-eclampsia and preterm delivery are the usual complications of overt hyperthyroidism (low TSH and high T3, T4) seen in 2 of 1000 pregnancies whereas mild or sub clinical hyperthyroidism (suppressed TSH alone) is seen in
1.7% of pregnancies and not associated with adverse outcomes4. Autoimmune positive euthyroid pregnancy shows doubling of incidence of miscarriage and preterm delivery. Worldwide more than 20 million people develop neurological sequel due to intra uterine, iodine deprivation5. Other problems of thyroid disorders in pregnancy are post partum thyroiditis, thyroid nodules and cancer, hyper emesis gravidarum etc. Debates and disputes persist regarding several protocol and management plan in this specific spectrum of diseases.
Anti ulcer drugs and their Advance pharmacology ||
Anti-ulcer drugs are medications used to prevent and treat ulcers in the stomach and upper part of the small intestine (duodenal ulcers). These ulcers are often caused by an imbalance between stomach acid and the mucosal lining, which protects the stomach lining.
||Scope: Overview of various classes of anti-ulcer drugs, their mechanisms of action, indications, side effects, and clinical considerations.
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.
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
Title: Sense of Taste
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 structure and function of taste buds.
Describe the relationship between the taste threshold and taste index of common substances.
Explain the chemical basis and signal transduction of taste perception for each type of primary taste sensation.
Recognize different abnormalities of taste perception and their causes.
Key Topics:
Significance of Taste Sensation:
Differentiation between pleasant and harmful food
Influence on behavior
Selection of food based on metabolic needs
Receptors of Taste:
Taste buds on the tongue
Influence of sense of smell, texture of food, and pain stimulation (e.g., by pepper)
Primary and Secondary Taste Sensations:
Primary taste sensations: Sweet, Sour, Salty, Bitter, Umami
Chemical basis and signal transduction mechanisms for each taste
Taste Threshold and Index:
Taste threshold values for Sweet (sucrose), Salty (NaCl), Sour (HCl), and Bitter (Quinine)
Taste index relationship: Inversely proportional to taste threshold
Taste Blindness:
Inability to taste certain substances, particularly thiourea compounds
Example: Phenylthiocarbamide
Structure and Function of Taste Buds:
Composition: Epithelial cells, Sustentacular/Supporting cells, Taste cells, Basal cells
Features: Taste pores, Taste hairs/microvilli, and Taste nerve fibers
Location of Taste Buds:
Found in papillae of the tongue (Fungiform, Circumvallate, Foliate)
Also present on the palate, tonsillar pillars, epiglottis, and proximal esophagus
Mechanism of Taste Stimulation:
Interaction of taste substances with receptors on microvilli
Signal transduction pathways for Umami, Sweet, Bitter, Sour, and Salty tastes
Taste Sensitivity and Adaptation:
Decrease in sensitivity with age
Rapid adaptation of taste sensation
Role of Saliva in Taste:
Dissolution of tastants to reach receptors
Washing away the stimulus
Taste Preferences and Aversions:
Mechanisms behind taste preference and aversion
Influence of receptors and neural pathways
Impact of Sensory Nerve Damage:
Degeneration of taste buds if the sensory nerve fiber is cut
Abnormalities of Taste Detection:
Conditions: Ageusia, Hypogeusia, Dysgeusia (parageusia)
Causes: Nerve damage, neurological disorders, infections, poor oral hygiene, adverse drug effects, deficiencies, aging, tobacco use, altered neurotransmitter levels
Neurotransmitters and Taste Threshold:
Effects of serotonin (5-HT) and norepinephrine (NE) on taste sensitivity
Supertasters:
25% of the population with heightened sensitivity to taste, especially bitterness
Increased number of fungiform papillae
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
Factory Supply Best Quality Pmk Oil CAS 28578–16–7 PMK Powder in Stockrebeccabio
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Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?
COVID-19 & Diabetes by Dr Shahjada Selim
1. COVID-19 and &
Diabetes Mellitus
Dr Shahjada Selim
Associate Professor
Department of Endocrinology
Bangabandhu Sheikh Mujib Medical University, Dhaka
Email: selimshahjada@gmail.com, info@shahjadaselim.com
2. The novel coronavirus
MERS, Middle East Respiratory Syndrome
Andersen KG et al. Nat Med 2020. https://doi.org/10.1038/s41591-020-0820-9
COVID-19 coronavirus particles, coloured transmission electron micrograph (tEM)
● First identified in Wuhan, China, in Dec 2019
● It is an enveloped RNA (ribonucleic acid) virus
● Also called severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2)
● SARS-CoV-2 is the seventh coronavirus known
to infect humans
● SARS-CoV, MERS-CoV and SARS-CoV-2 can
cause severe disease, whereas HKU1, NL63,
OC43 and 229E are associated with mild
symptoms
● SARS-CoV-2 causes the disease COVID-
19 CoronaVIrus Disease – 2019 (COVID-
19)
3. Presenting symptoms of COVID-19
Xie et al. Int J Infect Dis. https://doi.org/10.1016/j.ijid.2020.03.071
Studies Huang et al. Chen et al. Wang et al. Guan et al.
Symptoms
Fever (%) 98 83 98.6 87.9
Cough (%) 76 82 59.4 67.7
Myalgia (%) 44 11 34.8 14.8
Fatigue (%) NA 69.6 38.1
Shortness of breath (%) 55 31 31.2 31-55
Headache(%) 8 8 6.5 13.6
Diarrhea (%) 3 2 10.1 3.7
Loss of smell and taste are more recently identified symptoms
Presenting symptoms of COVID-19
4. Key time-to-event distributions
Li et al. N Engl J Med 2020;382:1199-207.
0.25
0.20
0.15
0.10
0.05
0.00
0 14 217
RelativeFrequency
Days from Infection to Symptom Onset
0.20
0.15
0.10
0.05
0.00
0 14 217
RelativeFrequency
Serial Interval (days)
0.25
0.20
0.15
0.10
0.05
0.00
0 6 123
RelativeFrequency
Days from Illness Onset to First Medical Visit
9
Onset before January 1
Onset during January 1-11
A B
C D
0.15
0.10
0.05
0.00
0 2010
RelativeFrequency
Days from Illness Onset to Hospitalization
30
Onset before January 1
Onset during January 1-11
Key time-to-event distributions
5. Epidemiology characteristics of COVID-19 compared to SARS and
MERS
*the data were accepted for publication on 15 April 2020
Xie et al. Int J Infect Dis. https://doi.org/10.1016/j.ijid.2020.03.071
COVID-19 SARS MERS
Original location Wuhan, China Guangdong, China Jeddah, Saudi Arabia
Total cases (global)
1,980,003+*
8096 2229
Total death (global) 126,557+* 774 791
Healthcare worker cases (%) 3.8 21 18.6
Reproductive number 3.28 3.0 <1.0
Incubation period (days) 4.75-6.4 4.0 4.5-5.2
Serial interval (days) 2.6-7.5 8.4 12.6
Case-fatality rate (%) 3.0 9.6 35.5
CFR with comorbidities (%) 73.3 46.0 60.0
Epidemiology characteristics of COVID-19 compared to SARS and
MERS
7. Bangladesh is also declared the
COVID 19 infection reported from
Directorate General of Health
Service on daily basis with 1,012
confirmed cases and 46
deaths having community
transmission (dated till April 14,
2020) for total tests 13,128.
Bangladesh Scenario
Source: IEDCR
Mortality among
Physicians: 02 (15.042020)
8. Estimates of case fatality ratio shows strong age gradient in risk of
death
Verity et al. Lancet Infect Dis 2020. https://doi.org/10.1016/S1473-3099(20)30243-7
Rest of China Wuhan
≥80
70−79
60−69
50−59
40−49
30−39
20−29
10−19
0−9
0.3 0.2 0.1 0 0.1 0.2 0.3
Age,years
Proportion of cases
0.20
0.15
0.10
0.05
0.00
0−9 10−19 20−29 30−39 40−49 50−59 60−69 70−79 ≥80
Age (years)Casefatalityratio
Estimates of case fatality ratio shows strong age gradient in risk of
death
10. Prevalence of comorbidities in COVID 19 infection
Yang J et al. Int J Infect Dis. S1201-9712(20)30136-3. doi: 10.1016/j.ijid.2020.03.017. [Epub ahead of print]
Meta analysis of 8 studies with 46,248 COVID-19 patients showed the most
prevalent comorbidity:
Hypertension
17±7
(95% CI 14-22%)
Diabetes
8±6
(95% CI 6-11%)
Cardiovascular
diseases
5±4
(95% CI 4-7%)
Respiratory
system diseases
2±0
(95% CI 1-3%)
Prevalence of comorbidities in COVID 19 infection
11. Underlying diseases in COVID-19 inpatients
Xie et al. Int J Infect Dis. https://doi.org/10.1016/j.ijid.2020.03.071
Studies Huang et al. Chen et al. Wang et al. Guan et al.
Mean Age (yrs) 49 55.5 56 47
Sex ratio (male: female) 73:27 68:32 54.3:45.7 58.1:41.9
Exposure history (%) 66 49 8.7 71.8
Underlying diseases (%) 32 50 NA 23.2
Diabetes (%) 20 13 10.1 7.4
Hypertension (%) 15 NA 31.2 14.9
Cardio-cerebrovascular diseases (%) 15 40 19.6 3.9
Malignancy (%) NA 1 7.2 0.9
Underlying diseases in COVID-19 inpatients
13. Disease severity, treatment, and prognosis of
COVID-19 patients
DM, diabetes mellitus; ECMO, extracorporeal membrane oxygenation.
Zhang Y et al. https://www.medrxiv.org/content/10.1101/2020.03.24.20042358v1
Total DM Non-DM p
Variable (N=258) (n=63) (n=195)
Severity, n (%)
Mild to moderate 87 (33.7) 18 (28.6) 69 (35.4) 0.028
Severe 116 (45.0) 24 (38.1) 92 (47.2)
Critical 55 (21.3) 21 (33.3) 34 (17.4)
Complications, n (%)
Acute respiratory distress 62 (24.0) 24 (38.1) 38 (19.5) 0.001
Acute cardiac injury 19 (7.4) 9 (14.5) 10 (5.1) 0.016
Acute kidney injury 7 (2.7) 3 (4.8) 4 (2.1) 0.250
Total DM Non-DM p
Variable (N=258) (n=63) (n=195)
Oxygen support, n (%)
Nasal cannula 148 (57.4) 30 (47.6) 118 (60.5) 0.037
High-flow oxygen 24 (12.4) 8 (12.7) 24 (12.3)
Non-invasive ventilation 26 (10.1) 10 (15.9) 16 (8.2)
Invasive mechanical ventilation 16 (6.2) 7 (11.1) 9 (4.6)
ECMO 1 (0.4) 1 (1.6) 0 (0)
Prognosis, n (%)
Discharged 87 (33.7) 16 (35.7) 71 (36.4) 0.039
Not discharged yet 156 (60.5) 40 (63.5) 116 (59.5)
Death 15 (5.8) 7 (11.1) 8 (4.1)
Disease severity, treatment, and prognosis of
COVID-19 patients
14. Associations of diabetes and FBG with fatality of COVID-19
FBG, fasting blood glucose
Zhang Y et al. https://www.medrxiv.org/content/10.1101/2020.03.24.20042358v1
Model Ia Model IIb Model IIIc
Variable AHR
(95% CI)
P AHR
(95% CI)
P AHR
(95% CI)
P
DM 2.80
(1.01,7.80)
0.048 2.840
(1.01, 8.01)
0.048 3.64
(1.09, 12.21)
0.036
FBG
(mmol/L)
1.14
(1.06,1.22)
<0.001 1.142
(1.07, 1.23)
<0.001 1.19
(1.08, 1.31)
<0.001
AHR, adjusted hazard ratio; CI: confidence interval. DM: diabetes mellitus; FBG: fasting blood glucose.
a Adjusted for age.
b Additionally adjusted for preexisting cardiovascular disease and chronic kidney disease.
c Additionally adjusted for inflammatory biomarkers (leucocytes, neutrophils, lymphocyte, eosinophil, NLR, neutrophil-to-lymphocyte ratio; C-reactive protein,
procalcitonin).
Associations of diabetes and FBG with fatality of COVID-19
15. Diabetes is a risk factor for mortality of COVID-19
1. Zhang BC, et al. medRxiv preprint , 2020 online
2. Guan WJ,et al. medRxiv preprint , 2020 online
3.China CDC Weekly,2020, 2(8): 113-122
4.《Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19),2020
A large national sample study in China showed that the mortality of patients with diabetes was significantly
higher than that of non-diabetic patients(10% vs 2.5% P<0.0012) (Figure 1)
Chinese CDC declared that patients who reported no comorbid conditions had a case fatality rate(CFR**)
of 0.9%, while patients with comorbid conditions had much higher rates--7.3% for diabetes.3(Figure 2)
3.1%
10.0%
2.5%
0%
4%
8%
12%
All patients Diabetic Non- diabetic
P<0.001
Figure 1:The mortality of 1590
COVID-19 patients
N=1590 N=130 N=1460
Casefatalityrate(%)
2.3%
7.3%
0.9%
0%
2%
4%
6%
8%
All patients Diabetic No comorbid
conditions*
Figure 2:The mortality of COVID-19
patients reported by China CDC
N=20,982 N=1,102 N=15,536
Casefatalityrate(%)
* The comorbid condition variable, only includes a total of 20,812 patients and 504 deaths and these values were used to calculate percentages in the confirmed cases and
deaths columns.
**The Joint Mission acknowledges the known challenges and biases of reporting crude CFR early in an epidemic.
16. People with DM have an increased risk of infection because of
innate immunity defects
• Linked to hyperglycaemia
• Both acute and chronic effects
Increased risk of severe infection because of increased cytokines
Why the association?
Ma and Holt Diabet Med 2020. DOI: 10.1111/dme.14300
Why the association?
17. • Glucose and Glutamide are preferred by SARS-CoV-2
• COVID-19 infection will heighten the state of insulin
resistance in DM
• IL-6 produced as the result of COVID-19 infection
increases the chances fatal consequences the infection
in DM
Why the association?
Ma and Holt Diabet Med 2020. DOI: 10.1111/dme.14300
Why the association?
18. Why the association?
ACE, angiotensin-converting enzyme, ARB angiotensin-receptor blocker
Vaduganathan et al. N Eng J Med. DOI: 10.1056/NEJMsr2005760
Interaction between
SARS-CoV-2 and the
Renin–Angiotensin–Aldosterone
System
ACE2 links diabetes mellitus,
hypertension and cardiovascular
disease to COVID-19
SARS-CoV-2
Spike protein
Binding to ACE2
ACE2
Angiotensin
(1-9)
Angiotensin
(1-7)
Angiotensin
I
Angiotensin
II
ACE
inhibitors
ARBs
Local or systemic
infection or sepsis
ACE
Angiotensin II
Type 1 receptor
Viral entry, replication,
and ACE2
down-regulation
Acute lung injury
Adverse myocardial
remodeling
Vasoconstriction
Vascular permeability
ACE2
Why the association?
19. There may be interruption or non-
standard treatment with OAD in
isolation wards, resulting in
glucose fluctuationIrregular diet, reduced
exercise, gastrointestinal
symptoms, etc., affect diet,
resulting in glucose
fluctuation
Stress conditions like
infection increase
glucocorticoids secretion
The use of glucocorticoids
in treatment can lead to a
sharp rise in glucose
COVID-19 can cause human body
to produce a large number of
inflammatory cytokines and lead
to extreme stress in some severe
and critical patients
Fear, anxiety and tension
may increase glucose level
and induce glucose
fluctuation
Reasons for glucose fluctuation in patients with diabetes and COVID-19
Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219
20. Different challenges for diabetes management during
the COVID-19 pandemic
Panic
Home
quarantine
Shortage of
medical resources
21. Clinical scenarios of diabetes management during the COVID-19 pandemic
Stressful,
anxious,
depressed
Increased consumption
of alcohol
Insomnia/hypersomnia
/change in diurnal
rhythms
Change in regimen
(withdraw or change
medications )
No exercise/
over-exercise
Change in
compliance to
medications (dosing
time and frequency)
Miss routine
visit
Eat too much/
miss meals
Delayed visit
to emergency
care
Change in diet
composition
22. Recommendations on diabetes management during the COVID-19 pandemic
by International Diabetes Federation — diabetes combined with COVID-19
https://www.idf.org/our-network/regions-members/europe/europe-news/196:information-on-corona-virus-disease-2019-covid-19-outbreak-and-guidance-for-people-with-diabetes.html
There hasn’t been enough evidence of evidence-
based medicine on COVID-19 management in
diabetes. Referring to Standards of Care of Type 2
diabetes, IDF refers to follow the recommendations
for the SICK DAY RULES for the patients with
diabetes and COVID-19, for better medical care and
improved prognosis.
23. Target stratification of glucose management
Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219
Target stratification of glucose management:
For mild and moderate non-elderly COVID-19 patients, stick to strict/ tight control target
For mild and moderate elderly patients, or patients who have been using glucocorticoid, set up a low or
medium control target
For severe and critical patients, elderly patients, hypoglycemia intolerable patients, or patients who have organ
dysfunction or serious cardiovascular and cerebrovascular diseases, set up a low control target
Target stratification of glucose management in hospitalized patients
Hypoglycemia occurrence should be minimized during glucose management in diabetes
patients with COVID-19. Medical care should be performed in time if hypoglycemia
occurs.
High Medium Low
FPG/PPG (mmol/L) 4.4-6.1 6.1-7.8 7.8-10.0
2h PPG/GLU (mmol/L) 6.1-7.8 7.8-10.0 7.8-13.9
24. Therapeutic principle of glucose management
Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219
Insulin treatment is the first choice if diabetes is combined with severe infection:
For non-critical patients, insulin s.c. injection is recommended, and basic dosage can refer to the out-of-
hospital dosage
For critical patients, CSII is recommended
IV insulin treatment should be started in combination with aggressive fluid infusion if serious glucose
metabolism disorder with water and electrolyte and acid-base disorders is seen
If clinical condition is stable and eating pattern is regular, patients can continue OAD
treatment as before admission
Using NPH and long-acting insulin during glucocorticoid treatment to control glucose
Measure 7 point glucose (if necessary, plus nocturnal glucose) during insulin treatment
Metformin Not recommended in severe/critical patients; with gastrointestinal symptoms or lack of oxygen
Secretagogue
Mild/moderate patients using glucocorticoid: for early stage chose short-acting agents; for advanced stage chose
middle/long-acting agents if FPG and/or PPG is increased
α-glucosidase inhibitor Can be used to control PPG. Not recommended in severe/critical patients; with gastrointestinal symptoms
TZD
Can be used during the process of glucocorticoid treatment; regimen should be adjusted according to treatment
effect
DPP-4i Not recommended/ Recommended
SGLT-2i Not recommended for COVID-19 patients have stress reaction at different levels
25. Glucose management strategies for different types of
diabetes patients with COVID-19
Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219
Insulin pump or basal +
bolus insulin treatment is
the optimal regime
Recommend insulin
analogues as first choice
Insulin treatment should
be individualized
T1DM
For mild COVID-19 patients
with low-moderate glucose
increase, non-insulin diabetes
drugs can be used
For patients with fever or
treated by glucocorticoids,
insulin treatment is the first
choice
For critical patients, IV insulin
is recommended
T2DM
It is important to monitor
blood glucose after lunch
and before dinner as
glucocorticoid-induced
increased glucose often
occurs between after lunch
and before sleep.
Insulin is the first choice
Glucocorticoid-
associated diabetes
26. Glucose management strategies for different clinical
classification
Expert Recommendation on Glucose Management Strategies of Diabetes Combine with COVID-19. J Clin Intern Med. 2020 Mar;37(3):215-219
Both OAD and insulin treatment can be maintained and it is not necessary to
adjust original regimen
Progress of COVID-19 can be rapid and worsen with hyperglycemia. It is
recommended in diabetes patients with COVID-19, even mild, to increase glucose
measurement frequency, and consult with physicians to adjust regimen in time if
glucose target cannot be achieved
Mild
Maintain original regimen if patient’s mental condition, appetite and glucose
control are within normal range
Switch OAD to insulin for patients with obvious COVID-19 symptoms who can’t
eat regularly
Suggest switching premix insulin regime to basal-bolus regime or insulin pump to
flexibly manage glucose
Moderate
IV Insulin should be the first-line treatment.
For patients who are in process of continuous renal replacement therapy (CRRT),
the proportion of glucose and insulin in the replacement solution should be
increased or decreased according to glucose monitoring result to avoid
hypoglycemia and severe glucose fluctuation.
Severe and
critical
27. BES Position Statement for COVID-19 Pandemic
What endocrinologists can do:
o We should guide our patients to better control their diabetes and
complications through direct consultation, email, message, videocall or social
media.
o If our clinical Judgement (for patients having fever, cough and shortness of
breath) points toward suspected case, refer them to nearby designated
hospitals.
o We should remind our patients about sick day management rules (keep
hydrated, maintain nutrition including CHO and salty food, monitor blood
glucose and monitor temperature)
o If DM is well controlled, we can minimize the disaster.
28. BES Position Statement for COVID-19 Pandemic
What patients should do:
• Continue to take your prescribed medications.
• Monitor your blood glucose regularly and adjust dose of medication.
• Keep reserve of medications and glucose testing kit and strips
supplies for 1-3 months.
• Perform home-based exercise like treadmill, stationary cycling bike,
free hand exercise or aerobics, walking in room if it is big, roof and in
parking area or stair up-down.
• Maintain healthy diet. Take plenty of vegetables and citrous foods. If
needed take multivitamins and multiminerals (Fe, Cu, Zn, Selenium, Vit
A).
29. BES Position Statement for COVID-19 Pandemic
What patients should do:
• Wash fruits and vegetables before eating.
• Take more water or sugar-free drinks in hot weather.
• When you do go out in public, avoid crowds & limit close
contact (<2M).
• Avoid non-essential travel.
• Stay home if ill.
30. BES Position Statement for COVID-19 Pandemic
What patients should do:
• Wash your hands with soap and water regularly, for at least
20 seconds, especially before eating or drinking and after
using bathroom and blowing your nose, coughing or sneezing
and after being in public.
• If soap and water are not readily available, use an alcohol-
based sanitizer with at least 60% alcohol.
• Cover your nose and mouth when coughing or sneezing with
a tissue or a flexed elbow, then throw the tissue in the bin.
Background
The rapid spread of the coronavirus disease 2019 (COVID-19), caused by a zoonotic beta-coronavirus entitled 2019 novel coronavirus (2019-nCoV), has become a global threat. Awareness of the biological features of 2019-nCoV should be updated in time and needs to be comprehensively summarized to help optimize control measures and make therapeutic decisions.
Methods
Based on recently published literatures, official documents and selected up-to-date preprint studies, we reviewed the virology and origin, epidemiology, clinical manifestations, pathology and treatment of 2019-nCoV infection, in comparison with severe acute respiratory syndrome coronavirus (SARS-CoV) and middle east respiratory syndrome coronavirus (MERS-CoV) infection.
Results
The genome of 2019-nCoV partially resembled SARS-CoV and MERS-CoV, and indicating a bat origin. The COVID-19 generally had a high reproductive number, a long incubation period, a short serial interval and a low case fatality rate (much higher in patients with comorbidities) than SARS and MERS. Clinical presentation and pathology of COVID-19 greatly resembled SARS and MERS, with less upper respiratory and gastrointestinal symptoms, and more exudative lesions in post-mortems. Potential treatments included remdesivir, chloroquine, tocilizumab, convalescent plasma and vaccine immunization (when possible).
Conclusion
The initial experience from the current pandemic and lessons from the previous two pandemics can help improve future preparedness plans and combat disease progression.
Background
The rapid spread of the coronavirus disease 2019 (COVID-19), caused by a zoonotic beta-coronavirus entitled 2019 novel coronavirus (2019-nCoV), has become a global threat. Awareness of the biological features of 2019-nCoV should be updated in time and needs to be comprehensively summarized to help optimize control measures and make therapeutic decisions.
Methods
Based on recently published literatures, official documents and selected up-to-date preprint studies, we reviewed the virology and origin, epidemiology, clinical manifestations, pathology and treatment of 2019-nCoV infection, in comparison with severe acute respiratory syndrome coronavirus (SARS-CoV) and middle east respiratory syndrome coronavirus (MERS-CoV) infection.
Results
The genome of 2019-nCoV partially resembled SARS-CoV and MERS-CoV, and indicating a bat origin. The COVID-19 generally had a high reproductive number, a long incubation period, a short serial interval and a low case fatality rate (much higher in patients with comorbidities) than SARS and MERS. Clinical presentation and pathology of COVID-19 greatly resembled SARS and MERS, with less upper respiratory and gastrointestinal symptoms, and more exudative lesions in post-mortems. Potential treatments included remdesivir, chloroquine, tocilizumab, convalescent plasma and vaccine immunization (when possible).
Conclusion
The initial experience from the current pandemic and lessons from the previous two pandemics can help improve future preparedness plans and combat disease progression.
(A) Age-distribution of cases in Wuhan and elsewhere in China. (B) Estimates of the case fatality ratio by age group, adjusted for demography and under-ascertainment. Boxes represent median (central horizontal line) and IQR, vertical lines represent 1・5 × IQR, and individual points represent any estimates outside of this range.
An outbreak of Novel Coronavirus (COVID -19) in Wuhan, China, the epidemic is more widespread than initially estimated, with cases now confirmed in multiple countries.
Aims
The aim of the meta-analysis was to assess the prevalence of comorbidities in the COVID-19 infection patients and the risk of underlying diseases in severe patients compared to non-severe patients.
Methods
A literature search was conducted using the databases PubMed, EMBASE, and Web of sciences until February 25, 2020. Risk ratio (OR) and 95% confidence intervals (CIs) were pooled using random-effects models.
Results
Eight studies were included in the meta- analysis, including 46248 infected patients. The result showed the most prevalent clinical symptom was fever ( 91 ± 3, 95% CI 86-97% ), followed by cough (67 ± 7, 95% CI 59-76%), fatigue ( 51 ± 0, 95% CI 34-68% ) and dyspnea ( 30 ± 4, 95% CI 21-40%). The most prevalent comorbidity were hypertension (17 ± 7, 95% CI 14-22%) and diabetes ( 8 ± 6, 95% CI 6-11% ), followed by cardiovascular diseases ( 5 ± 4, 95% CI 4-7% ) and respiratory system disease( 2 ± 0, 95% CI 1-3% ). Compared with the Non-severe patient, the pooled odds ratio of hypertension, respiratory system disease, cardiovascular disease in severe patients were (OR 2.36, 95% CI: 1.46-3.83), (OR 2.46, 95% CI: 1.76-3.44) and (OR 3.42, 95% CI: 1.88-6.22)respectively.
Conclusion
We assessed the prevalence of comorbidities in the COVID-19 infection patients and found underlying disease, including hypertension, respiratory system disease and cardiovascular, may be a risk factor for severe patients compared with Non-severe patients.
Keywords
2019-nCoV COVID-19 Comorbidities Clinical characteristics Epidemiologicalm Meta-analysis
Background
The rapid spread of the coronavirus disease 2019 (COVID-19), caused by a zoonotic beta-coronavirus entitled 2019 novel coronavirus (2019-nCoV), has become a global threat. Awareness of the biological features of 2019-nCoV should be updated in time and needs to be comprehensively summarized to help optimize control measures and make therapeutic decisions.
Methods
Based on recently published literatures, official documents and selected up-to-date preprint studies, we reviewed the virology and origin, epidemiology, clinical manifestations, pathology and treatment of 2019-nCoV infection, in comparison with severe acute respiratory syndrome coronavirus (SARS-CoV) and middle east respiratory syndrome coronavirus (MERS-CoV) infection.
Results
The genome of 2019-nCoV partially resembled SARS-CoV and MERS-CoV, and indicating a bat origin. The COVID-19 generally had a high reproductive number, a long incubation period, a short serial interval and a low case fatality rate (much higher in patients with comorbidities) than SARS and MERS. Clinical presentation and pathology of COVID-19 greatly resembled SARS and MERS, with less upper respiratory and gastrointestinal symptoms, and more exudative lesions in post-mortems. Potential treatments included remdesivir, chloroquine, tocilizumab, convalescent plasma and vaccine immunization (when possible).
Conclusion
The initial experience from the current pandemic and lessons from the previous two pandemics can help improve future preparedness plans and combat disease progression.
Comparison of the time-dependent risk of reaching to the composite endpoints. a) The time-dependent risk of reaching to the composite endpoints between patients with (orange curve) or without any comorbidity (dark blue curve). b) The time-dependent risk of reaching to the composite endpoints between patients without any comorbidity (orange curve), patients with a single comorbidity (dark blue curve), and patients with two or more comorbidities (green curve). Cox proportional hazard regression models were applied to determine the potential risk factors associated with the composite endpoints, with the hazards ratio (HR) and 95% confidence interval (95%CI) being reported.
Shown is the initial entry of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) into cells, primarily type
II pneumocytes, after binding to its functional receptor, angiotensin-converting enzyme 2 (ACE2). After endocytosis
of the viral complex, surface ACE2 is further down-regulated, resulting in unopposed angiotensin II accumulation.
Local activation of the renin–angiotensin–aldosterone system may mediate lung injury responses to viral insults.
ACE denotes angiotensin-converting enzyme, and ARB angiotensin-receptor blocker.