Evidence map›Paper›PMID 38541321›Full record

ArticleInternational journal of environmental research and public health2024

Potential Risk Factors to COVID-19 Severity: Comparison of SARS-CoV-2 Delta- and Omicron-Dominant Periods.

Daiki Yamaguchi, Odgerel Chimed-Ochir, Yui Yumiya, Eisaku Kishita, Tomoyuki Akita, Junko Tanaka, Tatsuhiko Kubo

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
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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

7 authors.

Daiki YamaguchiDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.
Odgerel Chimed-OchirDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.
Yui YumiyaDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.
Eisaku KishitaMedical Economics Division, Health Insurance Bureau, Ministry of Health, Labour and Welfare, Tokyo 100-8916, Japan.
Tomoyuki AkitaDepartment of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical & Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.
Junko TanakaMedical Policy Office, Hiroshima University, Hiroshima 734-8553, Japan.
Tatsuhiko KuboDepartment of Public Health and Health Policy, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.ORCID 0000-0001-8822-9181

Funding

Japan Agency for Medical Research and Development 21fk0108550h0001
6 · The paper itself

Abstract

backgroundContinued study of risk factors can inform future pandemic preparedness and response. We aimed to determine the potential risk factors of COVID-19 severity among patients admitted to the hospital during the Delta- and Omicron-dominant periods.

methodsWe utilized the J-SPEED-style COVID-19 Hospital version, a pre-administered questionnaire, to collect data from hospitals in Hiroshima Prefecture between 8 August 2021 and 19 April 2022.

resultsDuring the Delta-dominant period, patients aged over 65 (OR = 2.59, 95% CI = 1.75-3.84), males (OR = 1.42, 95% CI = 1.12-1.81) and with BMI exceeding 25 (OR = 1.99, 95% CI = 1.57-2.52), diabetes (OR = 2.03, 95% CI = 1.40-2.95), and those with fewer than two doses of vaccine (OR = 2.39, 95% CI = 1.46-3.91) were at a greater risk of severe COVID-19 compared to those without these risk factors. During the Omicron-dominant period, significantly greater severity was observed among patients over 65 years old (OR = 3.89, 95% CI = 2.95-5.12), males (OR = 1.76, 95% CI = 1.40-2.21), those with high blood pressure (OR = 1.30, 95% CI = 1.02-1.65), and mental disorder (OR = 2.22, 95% CI = 1.69-2.92) compared to patients without these risks.

conclusionsOur findings indicate that risk factors vary across different SARS-CoV-2 variants. Examining variant-specific risk factors for COVID-19 severity can aid policymakers, public health specialists, and clinicians in prioritizing screening, treatment, and vaccination efforts, especially during potential healthcare resource shortages.

Indexed as

COVID-19SARS-CoV-2AgedHealth FacilitiesHumansMaleRisk FactorsCOVID-19data collectionJapanJ-SPEEDrisk factors

Identifiers

PMID38541321
PMCPMC10970678

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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.