The document discusses rosacea, including its possible causes, symptoms, and treatments. It examines the ICD-9-CM code for rosacea (695.3), explaining that this diagnostic code is important for insurance billing purposes and allows sufferers to receive treatment. The ICD system uses standardized medical terminology and codes worldwide, enabling health professionals globally to easily communicate about diseases and share patient information.
Give five presentation tips used when doing presentationDQ-1.docxgilbertkpeters11344
Give five presentation tips used when doing presentation
DQ-1
Impetigo is a disease characterized by superficial infection of the skin that begins as small vesicles. These vesicles rupture and for crust. The crust is honey colored with a presentation of bullous or non-bullous. The risk factors in developing impetigo are being exposed to humind environment , insect bites, minor cuts and poor hygiene. Non-bullous vesicles are 1 to 2mm in diameter that rupture and form a honey colored crust. These wound often time weep and present as red colored shallow ulcerations. These are common on the patients mouth, face, nose,eyes. They can arise from insect bites or trauma. Bullous type most common in newborn babies presented on their diaper area or neck folds. These infections if left untreated may become systemin infections such as sepsis (Moes-Wójtowicz, Wachnicka-Bąk, Agnieszka Opałka,Kalicki, Jung,2015). These vesicles are fluid filled blisters that become limp and then burst open. Upon assessment of the patient history and chief complaint I will assess for risks mentioned above and see if the patient has any of these risks. Second, I will identify if the vesicles are as described above. If the patient meets criteria, I will then swab the area for culture. These skin conditions often are associated with bacterial infections such as in group Strep infections (Corredor-Osorio,Corredor-Osorio,Corredor-Osorio, 2016). Differential diagnosis consists of herpes simplex, insect bites and dermatitis. The treatment for this are topic antibiotics and frequently washing of the area that is infected. In severe cases systeming antibitics may be required for this infection. Children that are infected may not return to school until infection is controlled.
Corredor-Osorio, R., Corredor-Osorio, M., & Corredor-Osorio, A. (2016). Eyelid nonbullous impetigo. Our Dermatology Online / Nasza Dermatologia Online, 7(3), 291–293. https://doi.org/10.7241/ourd.20163.78
Alicja Moes-Wójtowicz, Anna Wachnicka-Bąk, Agnieszka Lipińska-Opałka, Bolesław Kalicki, & Anna Jung. (2015). Impetigo asacause of sepsis ininfants. Pediatria i Medycyna Rodzinna, 11(2), 220–226. https://doi.org/10.15557/PiMR.2015.0021
DQ-2
Basal cell carcinoma
Basal cell carcinoma (BCC) is the most common malignant epithelial neoplasm skin cancer worldwide (Liu, Liu, & Bian, 2020). Risk factors include gender, age, immunosuppression, chemicals (arsenic), and ultraviolet light exposure. BCC is more prevalent in Caucasian males, typically, after the age of 40 years, and develops slowly in exposed areas of the body, such as the scalp, face, ears, neck, and trunk (Liu et al., 2020). Ultraviolet radiation exposure is the most common cause of BCC. There are various presentations of BCC. Typically, nodular BCC presents as a pearly, translucent nodule with a firm elevated border, visible telangiectatic vessels, and a depressed center with or without ulceration (Balaji, Duraisamy, & Kumar, 2019). Other BCCs can incl.
Give five presentation tips used when doing presentationDQ-1.docxgilbertkpeters11344
Give five presentation tips used when doing presentation
DQ-1
Impetigo is a disease characterized by superficial infection of the skin that begins as small vesicles. These vesicles rupture and for crust. The crust is honey colored with a presentation of bullous or non-bullous. The risk factors in developing impetigo are being exposed to humind environment , insect bites, minor cuts and poor hygiene. Non-bullous vesicles are 1 to 2mm in diameter that rupture and form a honey colored crust. These wound often time weep and present as red colored shallow ulcerations. These are common on the patients mouth, face, nose,eyes. They can arise from insect bites or trauma. Bullous type most common in newborn babies presented on their diaper area or neck folds. These infections if left untreated may become systemin infections such as sepsis (Moes-Wójtowicz, Wachnicka-Bąk, Agnieszka Opałka,Kalicki, Jung,2015). These vesicles are fluid filled blisters that become limp and then burst open. Upon assessment of the patient history and chief complaint I will assess for risks mentioned above and see if the patient has any of these risks. Second, I will identify if the vesicles are as described above. If the patient meets criteria, I will then swab the area for culture. These skin conditions often are associated with bacterial infections such as in group Strep infections (Corredor-Osorio,Corredor-Osorio,Corredor-Osorio, 2016). Differential diagnosis consists of herpes simplex, insect bites and dermatitis. The treatment for this are topic antibiotics and frequently washing of the area that is infected. In severe cases systeming antibitics may be required for this infection. Children that are infected may not return to school until infection is controlled.
Corredor-Osorio, R., Corredor-Osorio, M., & Corredor-Osorio, A. (2016). Eyelid nonbullous impetigo. Our Dermatology Online / Nasza Dermatologia Online, 7(3), 291–293. https://doi.org/10.7241/ourd.20163.78
Alicja Moes-Wójtowicz, Anna Wachnicka-Bąk, Agnieszka Lipińska-Opałka, Bolesław Kalicki, & Anna Jung. (2015). Impetigo asacause of sepsis ininfants. Pediatria i Medycyna Rodzinna, 11(2), 220–226. https://doi.org/10.15557/PiMR.2015.0021
DQ-2
Basal cell carcinoma
Basal cell carcinoma (BCC) is the most common malignant epithelial neoplasm skin cancer worldwide (Liu, Liu, & Bian, 2020). Risk factors include gender, age, immunosuppression, chemicals (arsenic), and ultraviolet light exposure. BCC is more prevalent in Caucasian males, typically, after the age of 40 years, and develops slowly in exposed areas of the body, such as the scalp, face, ears, neck, and trunk (Liu et al., 2020). Ultraviolet radiation exposure is the most common cause of BCC. There are various presentations of BCC. Typically, nodular BCC presents as a pearly, translucent nodule with a firm elevated border, visible telangiectatic vessels, and a depressed center with or without ulceration (Balaji, Duraisamy, & Kumar, 2019). Other BCCs can incl.
Predictive and Preventive Care: Metabolic Diseasesasclepiuspdfs
South Asians have a very high incidence of ischemic heart disease and stroke. In addition, they also have a very high incidence of metabolic diseases such as prehypertension, hypertension, visceral obesity, metabolic syndrome, prediabetes, type-2 diabetes, and its clinical complications. Currently, there are over 75 million diabetic subjects in India and an equal number of prediabetics. Republic of China has taken over India as the diabetes capital of the world, with over 115 million diabetics. Modern medicine is disease focused and has failed to address the prevention of these chronic diseases. According to the reports from the United Nations (Millennium Development Goals [MDGs], the World Health Organization, Global Health Initiatives, and the non-communicable disease risk task force), obesity has increased by 2-fold and type-2 diabetes by 4-fold worldwide. Experts in this field predict that chances of meeting the MDGs set by the UN members of reducing the incidence of these diseases at 2025 to the level of 2020 are very little. Western medicine has failed to reduce or reverse the trend in the incidence of these diseases. We feel that an integrated approach to health care may be a better option, to reduce the disease burden in developing and resource-poor countries. Having said that, one cannot prevent something that one is not aware of, as such it is the need of the hour for us, to develop a robust predictive and preventive health-care platform. In an earlier article, we presented our views on reducing or reversing cardiometabolic diseases. There is great enthusiasm among the health-care providers and professional bodies that integration of emerging technologies will help develop personalized, precision medicine, as well as reduce the cost of health-care worldwide.
Artificial Intelligence Based Study on Analyzing of Habits and with History o...Dr. Amarjeet Singh
A patient will visit physicians when he/she feels ill. This illness is not for COVID-19 but it is a general tendency of human being to visit doctor probably it cannot be controlled by general drug. When a patient comes to a doctor, the doctor examines him/her after knowing his/her problem. The physician always asks him/her about some questions related to him/her daily life. For example, if a young male patient comes to a doctor with a symptom of fever and cough, the first question doctor asked him that he has a habit of smoking. Then doctor asks him whether this type of symptom appeared often to him previously or not. If the answers of both questions are yes, then the first one is habit and the second one is that he may suffering from some serious disease or a disease due to the weather. The aim of this paper is to consider habit of the patient as well as he/she has been affected by a critical disease. This information is used to build a model that will predict whether there is any possibility of his/her being affected by COVID-19.
This research work contributes to tackle the pandemic situation occurred due to Corona Virus Infectious Disease, 2019 (Covid-19). Outbreak of this disease happens based on numerous factors such as past health records and habits of patients. Health records include diabetes tendency, cardiovascular disease existence, pregnancy, asthma, hypertension, pneumonia; chronic renal disease may contribute to this disease occurrence. Past lifestyles such as tobacco, alcohol consumption may be analyzed.
A deep learning based framework is investigated to verify the relationship between past health records, habits of patients and covid-19 occurrence. A stacked Gated Recurrent Unit (GRU) based model is proposed in this paper that identifies whether a patient can be infected by this disease or not. The proposed predictive system is compared against existing benchmark Machine Learning classifiers such as Support Vector Machine (SVM) and Decision Tree (DT).
Prediction of Heart Disease in Diabetic patients using Naive Bayes Classifica...Editor IJCATR
The objective of our paper is to predict the risk of heart disease in diabetic patients. In this research paper we are applying Naive Bayes data mining classification technique which is a probabilistic classifier based on Bayes theorem with strong (naive) independence assumptions between the features. Data mining techniques have been widely used in health care systems for prediction of various diseases with accuracy. Health care industry contains large amount of data and hidden information. Effective decisions are made with this hidden information by applying data mining techniques. These techniques are used to discover hidden patterns and relationships from the datasets. The major challenge facing the healthcare industry is the provision for quality services at affordable costs. A quality service implies diagnosing patients correctly and treating them effectively. In this proposed system certain attributes are consider in diabetic patients to predict the risk of heart disease
Background: This study aimed to determine the prevalence of Diabetic Retinopathy and to find the associated risk factors of DR among known Type II DM patients.
Materials and Methods: A hospital-based cross-sectional and single center study was conducted among Type II DM patients with and without DR in the department of Endocrinology with a sample size of 150 with DM patients in 2018. Data were expressed as mean, standard deviation, proportions, Chi-Square, t-test test and Binary Logistic Regression analysis.
Results: Diabetic patients 150 were identified as Type II DM as per inclusion criteria with aged 30 years and above. Among 150 Diabetic patients, 39 (26%) patients had Diabetic Retinopathy and 111 (74%) patients were not having Diabetic Retinopathy. The association between groups (with and no DR) and duration of DM were very highly significant with p-value < 0.01. DR prevalence was higher in female when compared with male population.
Conclusion: From our study, we have concluded that the prevalence of DR was very high. DR was strongly associated with HbA1C, FBS, duration of DM, medication, duration of hypertension and smoking. Hence, there is a need for regular screening check-up with ophthalmologist to prevent diabetic retinopathy or to prolong or to escape from the vision loss.
Keywords: type II diabetic mellitus, diabetic retinopathy, prevalence, risk factors
Global death causes & preventive strategyDeepikaHarish
The snapshot approaches to answer the
following problem statement, along with relevant data points, leads & outlining a potential healthcare framework which acts around preventive approach to combat the disease onset & progression
- What are top causes of death worldwide & their impact on
healthcare expenditure
- Is there any insightful characteristic/ common pattern
associated with these indications
- What can be potent lead to develop a strategy plan to
prevent the onset & progression of these disease indications
International classification of diseases (ICD) is managed by world health organization (WHO). It is globally used diagnostic tool for epidemiology, health management and clinical purposes.
Systemic Sclerosis Associated with Occupational Exposure to Solventspateldrona
Systemic Sclerosis (SS) is a rare multisystemic disorder with changes in the immune system, vascular and connective tissue. Furthermore, there is an increase in the synthesis and accumulation of collagen and extracellular matrix components in the skin and internal organs, with repercussions on the lungs, gastrointestinal...
Systemic Sclerosis Associated with Occupational Exposure to Solventsclinicsoncology
Systemic Sclerosis (SS) is a rare multisystemic disorder with changes in the immune system, vascular and connective tissue. Furthermore, there is an increase in the synthesis and accumulation of collagen and extracellular matrix components in the skin and internal organs, with repercussions on the lungs, gastrointestinal...
Predictive and Preventive Care: Metabolic Diseasesasclepiuspdfs
South Asians have a very high incidence of ischemic heart disease and stroke. In addition, they also have a very high incidence of metabolic diseases such as prehypertension, hypertension, visceral obesity, metabolic syndrome, prediabetes, type-2 diabetes, and its clinical complications. Currently, there are over 75 million diabetic subjects in India and an equal number of prediabetics. Republic of China has taken over India as the diabetes capital of the world, with over 115 million diabetics. Modern medicine is disease focused and has failed to address the prevention of these chronic diseases. According to the reports from the United Nations (Millennium Development Goals [MDGs], the World Health Organization, Global Health Initiatives, and the non-communicable disease risk task force), obesity has increased by 2-fold and type-2 diabetes by 4-fold worldwide. Experts in this field predict that chances of meeting the MDGs set by the UN members of reducing the incidence of these diseases at 2025 to the level of 2020 are very little. Western medicine has failed to reduce or reverse the trend in the incidence of these diseases. We feel that an integrated approach to health care may be a better option, to reduce the disease burden in developing and resource-poor countries. Having said that, one cannot prevent something that one is not aware of, as such it is the need of the hour for us, to develop a robust predictive and preventive health-care platform. In an earlier article, we presented our views on reducing or reversing cardiometabolic diseases. There is great enthusiasm among the health-care providers and professional bodies that integration of emerging technologies will help develop personalized, precision medicine, as well as reduce the cost of health-care worldwide.
Artificial Intelligence Based Study on Analyzing of Habits and with History o...Dr. Amarjeet Singh
A patient will visit physicians when he/she feels ill. This illness is not for COVID-19 but it is a general tendency of human being to visit doctor probably it cannot be controlled by general drug. When a patient comes to a doctor, the doctor examines him/her after knowing his/her problem. The physician always asks him/her about some questions related to him/her daily life. For example, if a young male patient comes to a doctor with a symptom of fever and cough, the first question doctor asked him that he has a habit of smoking. Then doctor asks him whether this type of symptom appeared often to him previously or not. If the answers of both questions are yes, then the first one is habit and the second one is that he may suffering from some serious disease or a disease due to the weather. The aim of this paper is to consider habit of the patient as well as he/she has been affected by a critical disease. This information is used to build a model that will predict whether there is any possibility of his/her being affected by COVID-19.
This research work contributes to tackle the pandemic situation occurred due to Corona Virus Infectious Disease, 2019 (Covid-19). Outbreak of this disease happens based on numerous factors such as past health records and habits of patients. Health records include diabetes tendency, cardiovascular disease existence, pregnancy, asthma, hypertension, pneumonia; chronic renal disease may contribute to this disease occurrence. Past lifestyles such as tobacco, alcohol consumption may be analyzed.
A deep learning based framework is investigated to verify the relationship between past health records, habits of patients and covid-19 occurrence. A stacked Gated Recurrent Unit (GRU) based model is proposed in this paper that identifies whether a patient can be infected by this disease or not. The proposed predictive system is compared against existing benchmark Machine Learning classifiers such as Support Vector Machine (SVM) and Decision Tree (DT).
Prediction of Heart Disease in Diabetic patients using Naive Bayes Classifica...Editor IJCATR
The objective of our paper is to predict the risk of heart disease in diabetic patients. In this research paper we are applying Naive Bayes data mining classification technique which is a probabilistic classifier based on Bayes theorem with strong (naive) independence assumptions between the features. Data mining techniques have been widely used in health care systems for prediction of various diseases with accuracy. Health care industry contains large amount of data and hidden information. Effective decisions are made with this hidden information by applying data mining techniques. These techniques are used to discover hidden patterns and relationships from the datasets. The major challenge facing the healthcare industry is the provision for quality services at affordable costs. A quality service implies diagnosing patients correctly and treating them effectively. In this proposed system certain attributes are consider in diabetic patients to predict the risk of heart disease
Background: This study aimed to determine the prevalence of Diabetic Retinopathy and to find the associated risk factors of DR among known Type II DM patients.
Materials and Methods: A hospital-based cross-sectional and single center study was conducted among Type II DM patients with and without DR in the department of Endocrinology with a sample size of 150 with DM patients in 2018. Data were expressed as mean, standard deviation, proportions, Chi-Square, t-test test and Binary Logistic Regression analysis.
Results: Diabetic patients 150 were identified as Type II DM as per inclusion criteria with aged 30 years and above. Among 150 Diabetic patients, 39 (26%) patients had Diabetic Retinopathy and 111 (74%) patients were not having Diabetic Retinopathy. The association between groups (with and no DR) and duration of DM were very highly significant with p-value < 0.01. DR prevalence was higher in female when compared with male population.
Conclusion: From our study, we have concluded that the prevalence of DR was very high. DR was strongly associated with HbA1C, FBS, duration of DM, medication, duration of hypertension and smoking. Hence, there is a need for regular screening check-up with ophthalmologist to prevent diabetic retinopathy or to prolong or to escape from the vision loss.
Keywords: type II diabetic mellitus, diabetic retinopathy, prevalence, risk factors
Global death causes & preventive strategyDeepikaHarish
The snapshot approaches to answer the
following problem statement, along with relevant data points, leads & outlining a potential healthcare framework which acts around preventive approach to combat the disease onset & progression
- What are top causes of death worldwide & their impact on
healthcare expenditure
- Is there any insightful characteristic/ common pattern
associated with these indications
- What can be potent lead to develop a strategy plan to
prevent the onset & progression of these disease indications
International classification of diseases (ICD) is managed by world health organization (WHO). It is globally used diagnostic tool for epidemiology, health management and clinical purposes.
Systemic Sclerosis Associated with Occupational Exposure to Solventspateldrona
Systemic Sclerosis (SS) is a rare multisystemic disorder with changes in the immune system, vascular and connective tissue. Furthermore, there is an increase in the synthesis and accumulation of collagen and extracellular matrix components in the skin and internal organs, with repercussions on the lungs, gastrointestinal...
Systemic Sclerosis Associated with Occupational Exposure to Solventsclinicsoncology
Systemic Sclerosis (SS) is a rare multisystemic disorder with changes in the immune system, vascular and connective tissue. Furthermore, there is an increase in the synthesis and accumulation of collagen and extracellular matrix components in the skin and internal organs, with repercussions on the lungs, gastrointestinal...
Annals of Clinical and Medical Case Reports - Acmcasereport
ICD-9-CM_Codes_and_Rosacea
1. Running head: ICD-9-CM CODES AND ROSACEA 1
ICD-9-CM Codes and Rosacea
David Commini
Everglades University
2. ICD-9-CM CODES AND ROSACEA 2
Abstract
This short paper examines the possible causes of rosacea, as well as some of the symptoms of
this skin condition. In addition to talking about rosacea, this paper will also examine the ICD-9-CM
code for rosacea, how the ICD-9-CM codes are important to this condition, and why ICD-9-CM codes
are important overall.
3. ICD-9-CM CODES AND ROSACEA 3
ICD-9-CM Codes and Rosacea
The causes for rosacea are still unknown, though there are a few theories that are being tossed
around, most notably Demodex folliculorum – tiny microbes that are part of the human microbiome - a
surplus of which could cause a possible immune response ("Causes of Rosacea: Demodex Mites &
Microbes"). As there is no known cause for rosacea, there is also no known cure for rosacea, though
treatments to ease signs and symptoms are available in a variety of ways; if one suffers from rosacea
then they should speak with a dermatologist or their primary care doctor for proper treatment (“Medical
Therapy for Rosacea").
The ICD9 defines rosacea as, “A chronic erythematous skin disorder that affects the face. It is
characterized by the development of redness in the cheeks, nose, and/or forehead and telangiectasia.
Sometimes, the erythematous changes may involve the eyelids ("ICD-9-CM Diagnosis Code 695.3:
Rosacea").” Essentially rosacea is a reddening of the cheeks, though there are 4 different subtypes with
three varying in severity (subtype 1 being a redness of the cheeks, subtype 2 being bumps and pimples,
and subtype 3 being a thickening of skin), and the fourth affecting the eyes (“Medical Therapy for
Rosacea"). This redness can cause a lower self-esteem in rosacea suffers, as it is a very conspicuous
condition, “Other patients have very bothersome rosacea that causes them issues on a daily basis. There
are subsets of severe rosacea sufferers who have extreme psychological, social, and emotional
symptoms. Some have developed social phobias, causing them to cancel or leave situations when their
rosacea is flaring or active. (Cole, 2015)”
While it is important to discuss treatment with your physician there are a plethora of supposed
treatments that one can try at home that include green tea ice cubes, avoiding gluten, and coconut oil
applications ("It Works for Me"). Alternative treatments can meet with marginal success depending on
the severity of the condition, so it is probably best to consult with a physician before deciding on any
4. ICD-9-CM CODES AND ROSACEA 4
kind of treatment. Along with medical treatment, and alternative treatments, there is knowing what
triggers rosacea and avoiding those specific triggers. Triggers can vary from patient to patient, but
some top common triggers of rosacea include; sun exposure, emotional stress, hot weather, and
consuming alcohol ("Rosacea Triggers Survey").
The ICD-9-CM lists the Diagnosis Code for rosacea as 695.3, which falls under the Diagnosis Code
of 695, Erythematous (a redness of the skin) Conditions ("ICD-9-CM Diagnosis Code 695.3:
Rosacea"). The ICD-9-CM is the 9th version of the International Classification of Diseases which is,
“the standard diagnostic tool for epidemiology, health management and clinical purposes. This includes
the analysis of the general health situation of population groups. It is used to monitor the incidence and
prevalence of diseases and other health problems, proving a picture of the general health situation of
countries and populations ("International Classification of Diseases (ICD)").” The ICD-9-CM is a
Clinical Modification version - created by the US National Center for Health Sciences - that includes
codes for inpatient, outpatient, and primary care offices ("International Statistical Classification of
Diseases and Related Health Problems", 2015).
The ICD-9-CM Diagnosis Code is important for sufferers of rosacea because the ICD-9-CM lists
synonyms of the skin condition, possible causes of the condition, that it can be treated, and most
importantly the Diagnosis Code is also a billable code. The reason that the Diagnosis Code being
billable is the most important (in this author's opinion) is due to the fact that sufferers will possibly
want to see a dermatologist to seek treatment; this code allows the patient (or doctor's office) to be able
to file a claim with insurance, and continue to receive treatment.
The ICD is published by the World Health Organization, meaning that it is used throughout the
world (most of the world already using the ICD-10 ("International Classification of Diseases (ICD)")).
The significance of this worldwide usage is huge; this means that most of the world is using the same
5. ICD-9-CM CODES AND ROSACEA 5
medical terminology as everywhere else. A sufferer of a certain condition can be certain that if they
seek treatment in another country that there will not be new names or terms for their specific condition.
The ICD, with it's widespread usage of the same medical terminology, means that health professionals
the world over are able to communicate with each other, share information concerning disease, and
share patient treatments across the globe.
6. ICD-9-CM CODES AND ROSACEA 6
References:
Causes of Rosacea: Demodex Mites & Microbes. (n.d.). Retrieved May 23, 2015, from
http://rosacea.org/patients/causes/demodex
Cole, G. (2015, February 18). Rosacea Symptoms, Causes, Treatment - How are the telangiectasias (the
red lines) treated? - MedicineNet. Retrieved May 23, 2015, from
http://www.medicinenet.com/rosacea/page8.htm#what_effect_may_rosacea_have_on_a_
persons_life
ICD-9-CM Diagnosis Code 695.3 : Rosacea. (2015). Retrieved May 23, 2015, from
http://www.icd9data.com/2015/Volume1/680-709/690-698/695/695.3.htm
International Classification of Diseases (ICD). (2015). Retrieved May 24, 2015, from
http://www.who.int/classifications/icd/en/
International Statistical Classification of Diseases and Related Health Problems. (2015, April 28).
Retrieved May 24, 2015, from
http://en.wikipedia.org/wiki/International_Statistical_Classification_of_Diseases_and_Related_
Health_Problems#ICD-9-CM
It Works for Me. (n.d.). Retrieved May 23, 2015, from
http://www.rosacea.org/patients/itworksforme
Medical Therapy for Rosacea. (n.d.). Retrieved May 23, 2015, from
http://www.rosacea.org/patients/managementoptions/medicaltherapy.php
Rosacea Triggers Survey. (n.d.). Retrieved May 23, 2015, from
http://www.rosacea.org/patients/materials/triggersgraph.php
7. ICD-9-CM CODES AND ROSACEA 6
References:
Causes of Rosacea: Demodex Mites & Microbes. (n.d.). Retrieved May 23, 2015, from
http://rosacea.org/patients/causes/demodex
Cole, G. (2015, February 18). Rosacea Symptoms, Causes, Treatment - How are the telangiectasias (the
red lines) treated? - MedicineNet. Retrieved May 23, 2015, from
http://www.medicinenet.com/rosacea/page8.htm#what_effect_may_rosacea_have_on_a_
persons_life
ICD-9-CM Diagnosis Code 695.3 : Rosacea. (2015). Retrieved May 23, 2015, from
http://www.icd9data.com/2015/Volume1/680-709/690-698/695/695.3.htm
International Classification of Diseases (ICD). (2015). Retrieved May 24, 2015, from
http://www.who.int/classifications/icd/en/
International Statistical Classification of Diseases and Related Health Problems. (2015, April 28).
Retrieved May 24, 2015, from
http://en.wikipedia.org/wiki/International_Statistical_Classification_of_Diseases_and_Related_
Health_Problems#ICD-9-CM
It Works for Me. (n.d.). Retrieved May 23, 2015, from
http://www.rosacea.org/patients/itworksforme
Medical Therapy for Rosacea. (n.d.). Retrieved May 23, 2015, from
http://www.rosacea.org/patients/managementoptions/medicaltherapy.php
Rosacea Triggers Survey. (n.d.). Retrieved May 23, 2015, from
http://www.rosacea.org/patients/materials/triggersgraph.php