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Baseline cardiometabolic profiles and SARS-CoV-2 infection in the UK Biobank.

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TLDR
In this article, the authors examined the impact of additional baseline cardiometabolic risk factors including high density lipoprotein-cholesterol (HDL-C), LDL-C, Apolipoprotein A-I (ApoA-I), triglycerides, hemoglobin A1c (HbA1c), and diabetes on SARS-CoV-2 infection risk.
Abstract
BACKGROUND: SARS-CoV-2 is a rapidly spreading coronavirus responsible for the Covid-19 pandemic, which is characterized by severe respiratory infection. Many factors have been identified as risk factors for SARS-CoV-2, with much early attention being paid to body mass index (BMI), which is a well-known cardiometabolic risk factor. OBJECTIVE: This study seeks to examine the impact of additional baseline cardiometabolic risk factors including high density lipoprotein-cholesterol (HDL-C), low density lipoprotein-cholesterol (LDL-C), Apolipoprotein A-I (ApoA-I), Apolipoprotein B (ApoB), triglycerides, hemoglobin A1c (HbA1c) and diabetes on the odds of testing positive for SARS-CoV-2 in UK Biobank (UKB) study participants. METHODS: We examined the effect of BMI, lipid profiles, diabetes and alcohol intake on the odds of testing positive for SARS-Cov-2 among 9,005 UKB participants tested for SARS-CoV-2 from March 16 through July 14, 2020. Odds ratios and 95% confidence intervals were computed using logistic regression adjusted for age, sex and ancestry. RESULTS: Higher BMI, Type II diabetes and HbA1c were associated with increased SARS-CoV-2 odds (p < 0.05) while HDL-C and ApoA-I were associated with decreased odds (p < 0.001). Though the effect of BMI, Type II diabetes and HbA1c were eliminated when HDL-C was controlled, the effect of HDL-C remained significant when BMI was controlled for. LDL-C, ApoB and triglyceride levels were not found to be significantly associated with increased odds. CONCLUSION: Elevated HDL-C and ApoA-I levels were associated with reduced odds of testing positive for SARS-CoV-2, while higher BMI, type II diabetes and HbA1c were associated with increased odds. The effects of BMI, type II diabetes and HbA1c levels were no longer significant after controlling for HDL-C, suggesting that these effects may be mediated in part through regulation of HDL-C levels. In summary, our study suggests that baseline HDL-C level may be useful for stratifying SARS-CoV-2 infection risk and corroborates the emerging picture that HDL-C may confer protection against sepsis in general and SARS-CoV-2 in particular.

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Journal ArticleDOI

Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association

- 22 Feb 2022 - 
TL;DR: The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update as discussed by the authors .
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Good Cholesterol Gone Bad? HDL and COVID-19.

TL;DR: In this paper, the authors reviewed the complex role of HDL and SR-B1 in SARS-CoV-2-induced disease and showed that the ability of HDL to enhance or suppress virus infection appears to be dependent on the expression of the HDL receptor in the target cells.

Lipid and Lipoprotein Levels in Patients with COVID-19 Infections

TL;DR: A number of studies have observed a decrease in total cholesterol, LDL-C, and HDL-C levels in patients with COVID-19 infections as discussed by the authors, which was inversely correlated with C-reactive protein (CRP) levels.
References
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Journal ArticleDOI

Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention

TL;DR: Hospitalised COVID-19 patients are frequently elderly subjects with co-morbidities receiving polypharmacy, all of which are known risk factors for d
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Principal components analysis corrects for stratification in genome-wide association studies

TL;DR: This work describes a method that enables explicit detection and correction of population stratification on a genome-wide scale and uses principal components analysis to explicitly model ancestry differences between cases and controls.
Journal ArticleDOI

Second-generation PLINK: rising to the challenge of larger and richer datasets

TL;DR: The second-generation versions of PLINK will offer dramatic improvements in performance and compatibility, and for the first time, users without access to high-end computing resources can perform several essential analyses of the feature-rich and very large genetic datasets coming into use.
Journal ArticleDOI

Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults

Leandra Abarca-Gómez, +1024 more
- 16 Dec 2017 - 
TL;DR: Trends in mean BMI have recently flattened in northwestern Europe and the high-income English-speaking and Asia-Pacific regions for both sexes, southwestern Europe for boys, and central and Andean Latin America for girls, and by contrast, the rise in BMI has accelerated in east and south Asia forboth sexes, and southeast Asia for boys.
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