Evidence map›Paper›PMID 36282812›Full record

ArticlePloS one2022

Severity predictors of COVID-19 in SARS-CoV-2 variant, delta and omicron period; single center study.

Fumihiro Ogawa, Yasufumi Oi, Hiroshi Honzawa, Naho Misawa, Tomoaki Takeda, Yushi Kikuchi, Ryosuke Fukui, Katsushi Tanaka, Daiki Kano, Hideaki Kato and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Potential Risk Factors to COVID-19 Severity: Comparison of SARS-CoV-2 Delta- and Omicron-Dominant Periods.International journal of environmental research and public health · 2024
    Article
  2. Article
  3. Observational
  4. 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

12 authors at 2 institutions in 1 country.

Fumihiro OgawaDepartment of Emergency Medicine, Yokohama City University, School of Medicine, Yokohama, Kanagawa, Japan.ORCID 0000-0002-7069-9334
Yasufumi OiDepartment of Emergency Medicine, Yokohama City University, School of Medicine, Yokohama, Kanagawa, Japan.
Hiroshi HonzawaDepartment of Emergency Medicine, Yokohama City University, School of Medicine, Yokohama, Kanagawa, Japan.
Naho MisawaDepartment of Emergency Medicine, Yokohama City University, School of Medicine, Yokohama, Kanagawa, Japan.
Tomoaki TakedaDepartment of Emergency Medicine, Yokohama City University, School of Medicine, Yokohama, Kanagawa, Japan.
Yushi KikuchiDepartment of Emergency Medicine, Yokohama City University, School of Medicine, Yokohama, Kanagawa, Japan.
Ryosuke FukuiDepartment of Emergency Medicine, Yokohama City University, School of Medicine, Yokohama, Kanagawa, Japan.
Katsushi TanakaInfection Prevention and Control Department, Yokohama City University Hospital, Yokohama, Kanagawa, Japan.
Daiki KanoInfection Prevention and Control Department, Yokohama City University Hospital, Yokohama, Kanagawa, Japan.
Hideaki KatoInfection Prevention and Control Department, Yokohama City University Hospital, Yokohama, Kanagawa, Japan.ORCID 0000-0002-7853-5721
Takeru AbeDepartment of Emergency Medicine, Yokohama City University, School of Medicine, Yokohama, Kanagawa, Japan.
Ichiro TakeuchiDepartment of Emergency Medicine, Yokohama City University, School of Medicine, Yokohama, Kanagawa, Japan.
Yokohama City University · JPYokohama City University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe outcomes of coronavirus disease 2019 (COVID-19) treatment have improved due to vaccination and the establishment of better treatment regimens. However, the emergence of variants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19, and the corresponding changes in the characteristics of the disease present new challenges in patient management. This study aimed to analyze predictors of COVID-19 severity caused by the delta and omicron variants of SARS-CoV-2.

methodsWe retrospectively analyzed the data of patients who were admitted for COVID-19 at Yokohama City University Hospital from August 2021 to March 2022.

resultsA total of 141 patients were included in this study. Of these, 91 had moderate COVID-19, whereas 50 had severe COVID-19. There were significant differences in sex, vaccination status, dyspnea, sore throat symptoms, and body mass index (BMI) (p <0.0001, p <0.001, p <0.001, p = 0.02, p< 0.0001, respectively) between the moderate and severe COVID-19 groups. Regarding comorbidities, smoking habit and renal dysfunction were significantly different between the two groups (p = 0.007 and p = 0.01, respectively). Regarding laboratory data, only LDH level on the first day of hospitalization was significantly different between the two groups (p<0.001). Multiple logistic regression analysis revealed that time from the onset of COVID-19 to hospitalization, BMI, smoking habit, and LDH level were significantly different between the two groups (p<0.03, p = 0.039, p = 0.008, p<0.001, respectively). The cut-off value for the time from onset of COVID-19 to hospitalization was four days (sensitivity, 0.73; specificity, 0.70).

conclusionsTime from the onset of COVID-19 to hospitalization is the most important factor in the prevention of the aggravation of COVID-19 caused by the delta and omicron SARS-CoV-2 variants. Appropriate medical management within four days after the onset of COVID-19 is essential for preventing the progression of COVID-19, especially in patients with smoking habits.

Indexed as

COVID-19SARS-CoV-2HospitalizationHumansRetrospective Studies

Identifiers

PMID36282812
PMCPMC9595523
OpenAlexW4307240439

What OpenQuestion holds

Textmetadata
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.