Evidence map›Paper›PMID 32766593›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Baseline Cardiometabolic Profiles and SARS-CoV-2 Infection in the UK Biobank.

Ryan J Scalsky, Yi-Ju Chen, Karan Desai, Jeffery R O'Connell, James A Perry, Charles C Hong

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 17 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Ryan J Scalsky
Yi-Ju Chen
Karan Desai
Jeffery R O'Connell
James A Perry
Charles C Hong
University of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSARS-CoV-2 is a rapidly spreading coronavirus with a high incidence of severe upper respiratory infection that first presented in Wuhan, China in December 2019. Many factors have been identified as risk factors for SARS-CoV-2, with much attention being paid to body mass index (BMI). Little investigation has been done to investigate dysregulation of lipid profiles and diabetes, which are often comorbid in high BMI patients.

objectiveThis study seeks to describe the impact of BMI, HDL, LDL, ApoA, ApoB, triglycerides, hemoglobin A1c (HbA1c), diabetes, alcohol and red wine intake on the odds of testing positive for SARS-CoV-2 in UK Biobank (UKB) study participants.

methodsWe 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.

resultsHigher BMI, Type II diabetes and HbA1c were associated with increased SARS-CoV-2 odds (p < 0.05) while HDL and ApoA were associated with decreased odds (p < 0.001). Though the effect of BMI, Type II diabetes and HbA1c were eliminated when HDL was controlled, the effect of HDL remained significant when BMI was controlled for. Additionally, red wine intake was associated with reduced odds of testing positive for SARS-CoV-2 (p < 0.05). LDL, ApoB and triglyceride levels were not found to be significantly associated with increased odds.

conclusionElevated HDL and ApoA levels and alcohol intake, specifically red wine intake, 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 alcohol, BMI, type II diabetes and HbA1c levels were no longer significant after controlling for HDL, suggesting that these effects may be mediated in part through regulation of HDL levels. In summary, our study corroborates the emerging picture that high HDL levels may confer protection against SARS-CoV-2. HIGHLIGHTS: Higher baseline HDL levels were associated with reduced odds of testing positive for SARS-CoV-2.BMI, Type II diabetes and hemoglobin A1C levels were associated with elevated odds of testing positive for SARS-CoV-2, but this effect was abrogated when controlling for HDL.Red wine intake was associated with reduced odds of testing positive for SARS-CoV-2, although this effect may in part be moderated by HDL.Baseline LDL and Triglyceride levels were not associated with increased odds of testing positive for SARS-CoV-2.

Identifiers

PMID32766593
PMCPMC7402045
OpenAlexW3046042846

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.