Evidence map›Paper›PMID 34024181›Full record

ArticleJournal of primary care & community health

Body Mass Index, Multi-Morbidity, and COVID-19 Risk Factors as Predictors of Severe COVID-19 Outcomes.

Sanjeev Nanda, Audry S Chacin Suarez, Loren Toussaint, Ann Vincent, Karen M Fischer, Ryan Hurt, Darrell R Schroeder, Jose R Medina Inojosa, John C O'Horo, Ramona S DeJesus and 4 more

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Sanjeev NandaMayo Clinic, Rochester, MN, USA.
Audry S Chacin SuarezMayo Clinic, Rochester, MN, USA.
Loren ToussaintLuther College, Decorah, IA, USA.ORCID 0000-0001-8876-1848
Ann VincentMayo Clinic, Rochester, MN, USA.
Karen M FischerMayo Clinic, Rochester, MN, USA.
Ryan HurtMayo Clinic, Rochester, MN, USA.
Darrell R SchroederMayo Clinic, Rochester, MN, USA.
Jose R Medina InojosaMayo Clinic, Rochester, MN, USA.
John C O'HoroMayo Clinic, Rochester, MN, USA.
Ramona S DeJesusMayo Clinic, Rochester, MN, USA.
Haitham S Abu LebdehMayo Clinic, Rochester, MN, USA.
Manpreet S MundiMayo Clinic, Rochester, MN, USA.
Salma IftikharMayo Clinic, Rochester, MN, USA.
Ivana T CroghanMayo Clinic, Rochester, MN, USA.ORCID 0000-0003-3464-3525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. PATIENTS: Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. MEASURES: Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death.

resultsCox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50;

conclusionAge and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.

Indexed as

Body Mass IndexComorbidityCOVID-19COVID-19 TestingFemaleHospitalizationHumansMaleMorbidityObesityPandemicsPrognosisProportional Hazards ModelsRetrospective StudiesRisk FactorsSARS-CoV-2BMIcomorbidityCOVID-19obesitypandemicRisk Score

Identifiers

PMID34024181
PMCPMC8150439

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.