Evidence map›Paper›PMID 37542210›Full record

ArticleBMC public health2023

Risk analysis of COVID-19 hospitalization and critical care by race and region in the United States: a cohort study.

Mitsuki Jimbo, Sakae Saito, Takayuki Uematsu, Hideaki Hanaki, Katsuya Otori, Kiyoshi Shibuya, Wataru Ando

Open access · goldFull text read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

7 authors at 2 institutions in 1 country.

Mitsuki Jimbo *Department of Clinical Pharmacy, Center for Clinical Pharmacy and Sciences, Kitasato University School of Pharmacy, Minato-Ku, Tokyo, Japan.
Sakae Saito *Department of Pharmacy, Kitasato University Medical Center, Kitamoto City, Saitama, Japan.
Takayuki UematsuBiomedical Laboratory, Division of Biomedical Research, Kitasato University Medical Center, Kitamoto City, Saitama, Japan.
Hideaki HanakiInfection Control Research Center, Ōmura Satoshi Memorial Institute, Kitasato University, Minato-Ku, Tokyo, Japan.
Katsuya OtoriLaboratory of Pharmacy Practice and Science 1, Division of Clinical Pharmacy, Research and Education Center for Clinical Pharmacy, Kitasato University School of Pharmacy, Sagamihara, Japan.
Kiyoshi ShibuyaDepartment of Clinical Pharmacy, Center for Clinical Pharmacy and Sciences, Kitasato University School of Pharmacy, Minato-Ku, Tokyo, Japan.
Wataru AndoDepartment of Clinical Pharmacy, Center for Clinical Pharmacy and Sciences, Kitasato University School of Pharmacy, Minato-Ku, Tokyo, Japan. andow@pharm.kitasato-u.ac.jp.
Kitasato University Medical Center · JPKitasato University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to identify the current risk factors for coronavirus disease 2019 severity and examine its association with medication use.

methodsWe used data from a large United States electronic health record database to conduct an anonymized cohort study of 171,491 patients with coronavirus disease 2019. The study was conducted from January 1, 2020, to August 27, 2021. Data on age, race, sex, history of diseases, and history of medication prescriptions were analyzed using the Cox proportional hazards model analysis to calculate hazard ratios for hospitalization and severe risk.

resultsFactors that increased the risk of hospitalization and critical care were age ≥ 65 years, male sex, type 2 diabetes, hypertension, interstitial pneumonia, and cardiovascular disease. In particular, age ≥ 65 years significantly increased the risk of hospitalization (hazard ratio, 2.81 [95% confidence interval, 2.58-3.07]; P < 0.001) and critical care (hazard ratio, 3.45 [2.88-4.14]; P < 0.001). In contrast, patients with hyperlipidemia had a reduced risk. However, patients with hyperlipidemia who were not taking statins had a significantly increased risk of hospitalization (hazard ratio, 1.24 [1.16-1.34]; P < 0.001). Sodium-glucose cotransporter-2 inhibitors, angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, glucocorticoids, and statins significantly reduced the risk of hospitalization and critical care. The risk of hospitalization and critical care increased in patients of all ethnicities with type 2 diabetes. The factors that significantly increased the risk of hospitalization in all regions were older age, hypertension, chronic obstructive pulmonary disease, and cardiovascular disease.

conclusionThis study identified factors that increase or reduce the risk of severe coronavirus disease. The provision of appropriate drug treatment and modification of lifestyle-related risk factors may reduce coronavirus disease severity.

Indexed as

Cardiovascular DiseasesCOVID-19Diabetes Mellitus, Type 2Hydroxymethylglutaryl-CoA Reductase InhibitorsHypertensionSodium-Glucose Transporter 2 InhibitorsAgedCohort StudiesCritical CareHospitalizationHumansMaleRisk AssessmentRisk FactorsUnited StatesHydroxymethylglutaryl-CoA Reductase InhibitorsSodium-Glucose Transporter 2 InhibitorsCOVID-19Cox proportional hazards modelCritical careHospitalizationUnited States

Identifiers

PMID37542210
PMCPMC10401821
OpenAlexW4385581187

What OpenQuestion holds

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LicenceCC BY
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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.