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1.
Am J Epidemiol ; 191(7): 1153-1173, 2022 Jun 27.
Artículo en Inglés | MEDLINE | ID: covidwho-2267279

RESUMEN

The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults comprising 14 established US prospective cohort studies. Starting as early as 1971, investigators in the C4R cohort studies have collected data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R links this pre-coronavirus disease 2019 (COVID-19) phenotyping to information on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and acute and postacute COVID-related illness. C4R is largely population-based, has an age range of 18-108 years, and reflects the racial, ethnic, socioeconomic, and geographic diversity of the United States. C4R ascertains SARS-CoV-2 infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey conducted via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations and high-quality event surveillance. Extensive prepandemic data minimize referral, survival, and recall bias. Data are harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these data will be pooled and shared widely to expedite collaboration and scientific findings. This resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including postacute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term health trajectories.


Asunto(s)
COVID-19 , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , COVID-19/epidemiología , Estudios de Cohortes , Humanos , Persona de Mediana Edad , Pandemias , Estudios Prospectivos , SARS-CoV-2 , Estados Unidos/epidemiología , Adulto Joven
2.
Circ Heart Fail ; 13(10): e007218, 2020 10.
Artículo en Inglés | MEDLINE | ID: covidwho-805484

RESUMEN

Currently, South Asia accounts for a quarter of the world population, yet it already claims ≈60% of the global burden of heart disease. Besides the epidemics of type 2 diabetes mellitus and coronary heart disease already faced by South Asian countries, recent studies suggest that South Asians may also be at an increased risk of heart failure (HF), and that it presents at earlier ages than in most other racial/ethnic groups. Although a frequently underrecognized threat, an eventual HF epidemic in the densely populated South Asian nations could have dramatic health, social and economic consequences, and urgent interventions are needed to flatten the curve of HF in South Asia. In this review, we discuss recent studies portraying these trends, and describe the mechanisms that may explain an increased risk of premature HF in South Asians compared with other groups, with a special focus on highly relevant features in South Asian populations including premature coronary heart disease, early type 2 diabetes mellitus, ubiquitous abdominal obesity, exposure to the world's highest levels of air pollution, highly prevalent pretransition forms of HF such as rheumatic heart disease, and underdevelopment of healthcare systems. Other rising lifestyle-related risk factors such as use of tobacco products, hypertension, and general obesity are also discussed. We evaluate the prognosis of HF in South Asian countries and the implications of an anticipated HF epidemic. Finally, we discuss proposed interventions aimed at curbing these adverse trends, management approaches that can improve the prognosis of prevalent HF in South Asian countries, and research gaps in this important field.


Asunto(s)
Pueblo Asiatico , Epidemias , Insuficiencia Cardíaca/etnología , Edad de Inicio , Asia/epidemiología , Necesidades y Demandas de Servicios de Salud , Insuficiencia Cardíaca/diagnóstico , Insuficiencia Cardíaca/prevención & control , Humanos , Evaluación de Necesidades , Prevalencia , Servicios Preventivos de Salud , Pronóstico , Medición de Riesgo , Factores de Riesgo , Factores de Tiempo
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