Faculty Opinions recommendation of Association of cardiovascular disease with respiratory disease.

The ambient temperature–health relationship is of growing interest as the climate changes. Previous studies have examined the association between ambient temperature and mortality or morbidity, however, there is little literature available on the ambient temperature effects on year of life lost (YLL). Thus, we aimed to quantify the YLL attributable to non-optimum ambient temperature. We obtained data from 1 January 2013 to 31 December 2017 of 70 counties in Hunan, China. In order to combine the effects of each county, we used YLL rate as a health outcome indicator. The YLL rate was equal to the total YLL divided by the population of each county, and multiplied by 100,000. We estimated the associations between ambient temperature and YLL with a distributed lag non-linear model (DNLM) in a single county, and then pooled them in a multivariate meta-regression. The daily mean YLL rates were 22.62 y/(p·100,000), 10.14 y/(p·100,000) and 2.33 y/(p·100,000) within the study period for non-accidental, cardiovascular, and respiratory disease death. Ambient temperature was responsible for advancing a substantial fraction of YLL, with attributable fractions of 10.73% (4.36–17.09%) and 16.44% (9.09–23.79%) for non-accidental and cardiovascular disease death, respectively. However, the ambient temperature effect was not significantly for respiratory disease death, corresponding to 5.47% (−2.65–13.60%). Most of the YLL burden was caused by a cold temperature than the optimum temperature, with an overall estimate of 10.27% (4.52–16.03%) and 15.94% (8.82–23.05%) for non-accidental and cardiovascular disease death, respectively. Cold and heat temperature-related YLLs were higher in the elderly and females than the young and males. Extreme cold temperature had an effect on all age groups in different kinds of disease-caused death. This study highlights that general preventative measures could be important for moderate temperatures, whereas quick and effective measures should be provided for extreme temperatures.

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THE ASSOCIATION OF CARDIOVASCULAR DISEASE WITH RESPIRATORY DISEASE AND IMPACT ON MORTALITY

Journal of the American College of Cardiology ◽

10.1016/s0735-1097(19)32367-8 ◽

2019 ◽

Vol 73 (9) ◽

pp. 1761

Author(s):

Paul R. Carter ◽

Jakub Lagan ◽

Christien Fortune ◽

Deepak L. Bhatt ◽

Joergen Vestbo ◽

...

Keyword(s):

Cardiovascular Disease ◽

Respiratory Disease

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Chronic respiratory disease, comorbid cardiovascular disease, and mortality in a representative adult U.S. cohort

Respirology ◽

10.1111/resp.12119 ◽

2013 ◽

pp. n/a-n/a ◽

Cited By ~ 1

Author(s):

David M. Mannino ◽

Kourtney J. Davis ◽

Rachael L. DiSantostefano

Keyword(s):

Cardiovascular Disease ◽

Respiratory Disease ◽

Chronic Respiratory Disease

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Respiratory symptoms and pulmonary function as predictors of 10-year mortality from respiratory disease, cardiovascular disease, and all causes in the whitehall study

Journal of Clinical Epidemiology ◽

10.1016/0895-4356(88)90129-1 ◽

1988 ◽

Vol 41 (3) ◽

pp. 251-260 ◽

Cited By ~ 77

Author(s):

Kristie L. Ebi-Kryston

Keyword(s):

Cardiovascular Disease ◽

Pulmonary Function ◽

Respiratory Disease ◽

Respiratory Symptoms

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Multimorbidity patterns among COVID-19 deaths: proposal for the construction of etiological models

Revista Panamericana de Salud Pública ◽

10.26633/rpsp.2020.166 ◽

2020 ◽

Vol 44 ◽

pp. 1

Author(s):

Julián A. Fernández-Niño ◽

John A. Guerra-Gómez ◽

Alvaro J. Idrovo

Keyword(s):

Blood Pressure ◽

Cardiovascular Disease ◽

Respiratory Disease ◽

High Blood Pressure ◽

Health Conditions ◽

Older Individuals ◽

Age Related ◽

Probability Of Death ◽

Polynomial Regressions

Objectives. To describe patterns of multimorbidity among fatal cases of COVID-19, and to propose a classification of patients based on age and multimorbidity patterns to begin the construction of etiological models. Methods. Data of Colombian confirmed deaths of COVID-19 until June 11, 2020, were included in this analysis (n=1488 deaths). Relationships between COVID-19, combinations of health conditions and age were explored using locally weighted polynomial regressions. Results. The most frequent health conditions were high blood pressure, respiratory disease, diabetes, cardiovascular disease, and kidney disease. Dyads more frequents were high blood pressure with diabetes, cardiovascular disease or respiratory disease. Some multimorbidity patterns increase probability of death among older individuals, whereas other patterns are not age-related, or decrease the probability of death among older people. Not all multimorbidity increases with age, as is commonly thought. Obesity, alone or with other diseases, was associated with a higher risk of severity among young people, while the risk of the high blood pressure/diabetes dyad tends to have an inverted U distribution in relation with age. Conclusions. Classification of individuals according to multimorbidity in the medical management of COVID-19 patients is important to determine the possible etiological models and to define patient triage for hospitalization. Moreover, identification of non-infected individuals with high-risk ages and multimorbidity patterns serves to define possible interventions of selective confinement or special management.

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Why there are and will be less deaths in India due to COVID-19: an insight

International Journal of Community Medicine and Public Health ◽

10.18203/2394-6040.ijcmph20203417 ◽

2020 ◽

Vol 7 (8) ◽

pp. 3301

Author(s):

Chincholikar Sanjeev Vasantrao

Keyword(s):

Cardiovascular Disease ◽

Respiratory Disease ◽

Kidney Diseases ◽

Heart Diseases ◽

Respiratory Illness ◽

Chronic Respiratory Disease ◽

World Health ◽

Special Treatment ◽

Medical Problems ◽

Health Organization

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. Most people infected with the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment. It has been declared a pandemic by the World Health Organization which exhibited human-to-human transmissibility and spread rapidly across countries. Older people, and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness. Climate, with temperature, humidity, Bacillus Calmette–Guérin (BCG) vaccination, immune status of persons, elderly people, uncontrolled co morbid conditions like heart diseases, diabetes mellitus, hypertension, kidney diseases seems to play an important role in spread and severity of corona virus infection. As reported from MOHFW website, the COVID-19 deaths are more in above 60 years of age with comorbidities cardiovascular disease, diabetes, chronic respiratory disease, and cancer.

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Noncommunicable disease among adults with cerebral palsy

Neurology ◽

10.1212/wnl.0000000000008199 ◽

2019 ◽

Vol 93 (14) ◽

pp. e1385-e1396 ◽

Cited By ~ 6

Author(s):

Jennifer M. Ryan ◽

Mark D. Peterson ◽

Anthony Matthews ◽

Nicola Ryan ◽

Kimberley J. Smith ◽

...

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Cardiovascular Disease ◽

Type 2 Diabetes Mellitus ◽

Cerebral Palsy ◽

Respiratory Disease ◽

Noncommunicable Disease ◽

Increased Risk ◽

Risk Of Cancer

ObjectiveTo compare the incidence of noncommunicable diseases between adults with and without cerebral palsy (CP).MethodsA cohort study was conducted using primary care data from the Clinical Practice Research Datalink. Cox models, stratified by matched set and adjusted for potential confounders, were fitted to compare the risk of any noncommunicable disease, cancer, cardiovascular disease, type 2 diabetes mellitus, and respiratory disease between adults with and without CP.ResultsThe analysis included 1,705 adults with CP and 5,115 age-, sex-, and general practice–matched adults without CP. There was evidence from adjusted analyses that adults with CP had 75% increased risk of developing any noncommunicable disease compared to adults without CP (hazard ratio [HR] 1.75, 95% confidence interval [CI] 1.58–1.94). Specifically, they had increased risk of cardiovascular disease (HR 1.76, 95% CI 1.48–2.11) and respiratory disease (HR 2.61, 95% CI 2.14–3.19). There was no evidence of increased risk of cancer or type 2 diabetes mellitus.ConclusionsAdults with CP had increased risk of noncommunicable disease, specifically cardiovascular and respiratory disease. These findings highlight the need for clinical vigilance regarding identification of noncommunicable disease in people with CP and further research into the etiology and management of noncommunicable disease in this population.

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