Evidence map›Paper›PMID 39480756›Full record

ArticlePloS one2024

Clinical features of and severity risk factors for COVID-19 in adults during the predominance of SARS-CoV-2 XBB variants in Okinawa, Japan.

Shuhei Ideguchi, Kazuya Miyagi, Wakaki Kami, Daisuke Tasato, Futoshi Higa, Noriyuki Maeshiro, Shota Nagamine, Hideta Nakamura, Takeshi Kinjo, Masashi Nakamatsu and 5 more

Abstract read
In one paragraph

Article in PloS one, 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

15 authors.

Shuhei IdeguchiDivision of Infectious, Respiratory, and Digestive Medicine, First Department of Internal Medicine, University of the Ryukyus Graduate School of Medicine, Okinawa, Japan.
Kazuya MiyagiDivision of Infectious, Respiratory, and Digestive Medicine, First Department of Internal Medicine, University of the Ryukyus Graduate School of Medicine, Okinawa, Japan.ORCID 0009-0000-6252-5038
Wakaki KamiDepartment of Respiratory Medicine, Ohama Dai-ichi Hospital, Okinawa, Japan.
Daisuke TasatoDepartment of Respiratory and Infectious Diseases, Okinawa North Medical Association Hospital, Okinawa, Japan.
Futoshi HigaDepartment of Respiratory Medicine, NHO Okinawa Hospital, Okinawa, Japan.
Noriyuki MaeshiroResearch Center for Infectious Diseases, Okinawa Prefectural Institute of Health and Environment, Okinawa, Japan.
Shota NagamineResearch Center for Infectious Diseases, Okinawa Prefectural Institute of Health and Environment, Okinawa, Japan.
Hideta NakamuraDivision of Infectious, Respiratory, and Digestive Medicine, First Department of Internal Medicine, University of the Ryukyus Graduate School of Medicine, Okinawa, Japan.ORCID 0000-0001-7686-4604
Takeshi KinjoDivision of Infectious, Respiratory, and Digestive Medicine, First Department of Internal Medicine, University of the Ryukyus Graduate School of Medicine, Okinawa, Japan.ORCID 0000-0002-0262-0401
Masashi NakamatsuDepartment of Infection Control, University of the Ryukyus Hospital, Okinawa, Japan.
Shusaku HaranagaUniversity of the Ryukyus Comprehensive Health Professions Education Center, University Hospital, Okinawa, Japan.
Akihiro TokushigeDepartment of Clinical Pharmacology and Therapeutics, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
Shinichiro UedaDepartment of Clinical Pharmacology and Therapeutics, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
Jiro FujitaDepartment of Respiratory Medicine, Ohama Dai-ichi Hospital, Okinawa, Japan.
Kazuko YamamotoDivision of Infectious, Respiratory, and Digestive Medicine, First Department of Internal Medicine, University of the Ryukyus Graduate School of Medicine, Okinawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveSince 2023, COVID-19 induced by SARS-CoV-2 XBB variants have been a global epidemic. The XBB variant-induced epidemic was largest in the Okinawa Prefecture among areas in Japan, and healthcare institutions have been burdened by increased COVID-19 hospitalizations. This study aimed to evaluate the clinical features of XBB variant-induced COVID-19 and risk factors for severe COVID-19.

methodsThis retrospective study included adult patients hospitalized for COVID-19 between May and July 2023 at four tertiary medical institutions in Okinawa, Japan. Patients with bacterial infection-related complications were excluded. According to oxygen supplementation and intensive care unit admission, patients were divided into two groups, mild and severe. Patient backgrounds, symptoms, and outcomes were compared between both groups, and the risk factors for severe COVID-19 were analyzed using a multivariate logistic regression model.

resultsIn total of 367 patients included, the median age was 75 years, with 18.5% classified into the severe group. The all-cause mortality rate was 4.9%. Patients in the severe group were more older, had more underlying diseases, and had a higher mortality rate (13.2%) than those in the mild group (3.0%). Multivariate logistic regression analysis showed that diabetes mellitus was an independent risk factor for severe COVID-19 (95% confidence interval [CI], 1.002-3.772), whereas bivalent omicron booster vaccination was an independent factor for less severe COVID-19 (95% CI, 0.203-0.862).

conclusionThis study implies that assessing risk factors in older adults is particularly important in the era of omicron variants.

Indexed as

COVID-19SARS-CoV-2Severity of Illness IndexAdultAgedAged, 80 and overFemaleHospitalizationHumansJapanMaleMiddle AgedRetrospective StudiesRisk Factors

Identifiers

PMID39480756
PMCPMC11527311

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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.