A Contemporary Research Paradigm for the Genetic Analysis of a Common Chronic Disease

1996 ◽  
Vol 28 (5) ◽  
pp. 451-457 ◽  
Author(s):  
Eric Boerwinkle
Keyword(s):  
Chronic Disease ◽  
Genetic Analysis ◽  
Research Paradigm ◽  
Common Chronic Disease ◽  
Contemporary Research

scholarly journals Immunity and its role in periodontal diseases

2017 ◽  
Vol 63 (1) ◽  
pp. 24-27
Author(s):  
Irina Dumitrache ◽  
Keyword(s):  
Immune Response ◽  
Chronic Disease ◽  
Periodontal Disease ◽  
Clinical Efficacy ◽  
Periodontal Diseases ◽  
Adult Population ◽  
Host Immune Response ◽  
Immunomodulatory Therapy ◽  
Common Chronic Disease

Periodontal disease is one of the most common chronic disease, with a prevalence between 5% and 30% in adult population aged 25-75. In the pathogenesis of periodontal disease, the host immune response has a great importance and in the last years it has been underlined the role of immunomodulatory therapy in the management of periodontal disease. Septilin is a herbal immunomodulatory with clinical efficacy proven in the periodontal disease.

scholarly journals Development and evaluation of a brief self-completed family history screening tool for common chronic disease prevention in primary care

2013 ◽  
Vol 63 (611) ◽  
pp. e393-e400 ◽  
Author(s):  
Fiona M Walter ◽  
A Toby Prevost ◽  
Linda Birt ◽  
Nicola Grehan ◽  
Kathy Restarick ◽  
...  
Keyword(s):  
Primary Care ◽  
Chronic Disease ◽  
Family History ◽  
Disease Prevention ◽  
Screening Tool ◽  
Chronic Disease Prevention ◽  
Common Chronic Disease

scholarly journals Genetic diversity and disease susceptibility

1997 ◽  
Vol 352 (1357) ◽  
pp. 1045-1050 ◽  
Author(s):  
Walter F. Bodmer
Keyword(s):  
Genetic Diversity ◽  
Chronic Disease ◽  
Disease Prevention ◽  
Life Insurance ◽  
Disease Susceptibility ◽  
Genomic Analysis ◽  
Human Populations ◽  
Common Chronic Disease ◽  
Clear Cut ◽  
Targeted Approach

The range of genetic diversity within human populations is enormous. Genetic susceptibility to common chronic disease is a significant part of this genetic diversity, which also includes a variety of rare, clear–cut, inherited diseases. Modern DNA–based genomic analysis can now routinely lead to the identification of genes involved in disease susceptibility, provides the basis for genetic counselling in affected families, and can be used more widely for a genetically targeted approach to disease prevention. This naturally raises problems concerning the use of information not just in an individulal's decisions, but also for employment, and health and life insurance.

scholarly journals Proposta de Protocolo para Redução dos Riscos e Otimização da Sensibilidade nos Exames de Imagem em Pessoas com Diabetes

2021 ◽  
Vol 34 (13) ◽  
Author(s):  
Sara Donato ◽  
Helder Simões ◽  
Paulo Donato
Keyword(s):  
Chronic Disease ◽  
Lactic Acidosis ◽  
Portuguese Population ◽  
Common Chronic Disease ◽  
Iodinated Contrast

Diabetes is a very common chronic disease in the Portuguese population, with an estimated prevalence of 13.6% in the adults. Doubts often arise regarding the best preparation and the risks associated with doing imaging tests in these patients. In this article we intend to review the main precautions in imaging tests in people with diabetes and to suggest a guideline to reduce the risks and optimize the sensitivity of these tests in this population. The main topics addressed in this article are the need to suspend metformin after the administration of endovascular iodinated contrast due to the risk of lactic acidosis, the precautions in insulin-treated patients or those taking medicines with a higher risk of hypoglycemia when performing imaging tests that require fasting, and the influence of hyperglycemia and of anti-diabetic therapy on the sensitivity of PET-FDG. With this review and the presentation of a guideline, we intend to demystify and simplify the management of individuals with diabetes who are undergoing imaging tests.

scholarly journals Management of Diabetes Mellitus in Patients with Chronic Liver Diseases

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Yingying Zhao ◽  
Huichun Xing ◽  
Xiaomei Wang ◽  
Weini Ou ◽  
Hong Zhao ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Liver Cirrhosis ◽  
Chronic Disease ◽  
Antiviral Treatment ◽  
Close Correlation ◽  
Effective Control ◽  
Cerebral Vessel ◽  
Common Chronic Disease

Diabetes mellitus (DM) is a common chronic disease affecting humans globally. During the last few years, the incidence of diabetes has increased and has received more attention. In addition to growing DM populations, DM complications are involving injuries to more organs, such as the heart and cerebral vessel damage. DM complications can reduce quality of life and shorten life spans and eventually also impede social and economic development. Therefore, effective measures to curb the occurrence and development of diabetes assist in improving patients’ quality of life, delay the progression of DM in the population, and ease a social burden. The liver is regarded as an important link in the management and control of DM, including the alleviation of glucose metabolism and lipid metabolism and others via glucose storage and endogenous glucose generation from glycogen stored in the liver. Liver cirrhosis is a very common chronic disease, which often lowers the quality of life and decreases life expectancy. According to a growing body of research, diabetes shows a close correlation with hepatitis, liver cirrhosis, and liver cancer. Moreover, coexistence of liver complications would accelerate the deterioration of patients with diabetes. Liver cirrhosis and diabetes influence each other. Thus, in addition to pharmacological treatments and lifestyle interventions, effective control of cirrhosis might assist in a better management of diabetes. When it comes to different etiologies of liver cirrhosis, different therapeutic methods, such as antiviral treatment, may be more effective. Effective control of cirrhosis might be a strategy for better management of diabetes.

Chronic rhinosinusitis: a microbiome in dysbiosis and the search for alternative treatment options

2016 ◽  
Vol 37 (3) ◽  
pp. 149 ◽  
Author(s):  
Amanda Bordin ◽  
Hanna E Sidjabat ◽  
Kyra Cottrell ◽  
Anders Cervin
Keyword(s):  
Chronic Disease ◽  
Chronic Rhinosinusitis ◽  
Alternative Treatment ◽  
Treatment Options ◽  
Current Treatment ◽  
Multifactorial Disease ◽  
Healthy Human ◽  
Common Chronic Disease ◽  
The Future ◽  
Bacterial Microbiome

Chronic rhinosinusitis (CRS) is a common chronic disease. While CRS is a multifactorial disease, many cases involve an imbalance in the sinus bacterial microbiome. This article reviews the composition of the healthy human sinus microbiome compared to the microbiome of CRS patients. Issues with current treatment options, particularly antibiotics, are discussed. Insights into the future of CRS treatment are also explored, principally with regards to probiotics.

Outcomes Research in the Treatment of Asthma

2010 ◽  
pp. 78-99
Author(s):  
Ram C. Neupane ◽  
Jason Turner
Keyword(s):  
United States ◽  
Chronic Disease ◽  
Medical Expenditure Panel Survey ◽  
The United States ◽  
Medical Expenditure ◽  
National Inpatient Sample ◽  
Therapeutic Goals ◽  
Common Chronic Disease ◽  
The Government ◽  
The Cost

Asthma is a common chronic disease in the United States, with increasing prevalence. Many patients do not realize therapeutic goals because of poor disease management. The purpose of this study is to examine the costs of the commonly used drugs used to treat asthma. We examined the contribution of individual, government and private agencies for medication payment. We next compared the prescription cost to the cost of emergency room visits. The data are taken from the Medical Expenditure Panel Survey. SAS Enterprise Guide was used for preprocessing and data visualization. It was found that prednisone is the cheapest drug and the drug, albuterol, is the most common, even if it is more expensive. The contribution of the government is higher than the amount paid by individuals and other agencies. We examined data from the National Inpatient Sample to investigate trends in asthma as well.

Machine Learning and Its Application in Monitoring Diabetes Mellitus

2021 ◽  
pp. 228-288
Author(s):  
Vandana Kalra ◽  
Indu Kashyap ◽  
Harmeet Kaur
Keyword(s):  
Machine Learning ◽  
Chronic Disease ◽  
Data Science ◽  
Prediction Models ◽  
Simulation Models ◽  
Machine Learning Algorithms ◽  
Common Chronic Disease ◽  
Future Success ◽  
Automatic Pattern Recognition ◽  
Knowledge Exploration

Data science is a fast-growing area that deals with data from its origin to the knowledge exploration. It comprises of two main subdomains, data analytics for preparing data, and machine learning to probe into this data for hidden patterns. Machine learning (ML) endows powerful algorithms for the automatic pattern recognition and producing prediction models for the structured and unstructured data. The available historical data has patterns having high predictive value used for the future success of an industry. These algorithms also help to obtain accurate prediction, classification, and simulation models by eliminating insignificant and faulty patterns. Machine learning provides major advancement in the healthcare industry by assisting doctors to diagnose chronic diseases correctly. Diabetes is one of the most common chronic disease that occurs when the pancreas cells are damaged and do not secrete sufficient amount of insulin required by the human body. Machine learning algorithms can help in early diagnosis of this chronic disease by studying its predictor parameter values.

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