Evidence map›Paper›PMID 34342755›Full record

ArticleAnnals of intensive care2021

Novel phenotypes of coronavirus disease: a temperature-based trajectory model.

Yanfei Shen, Dechang Chen, Xinmei Huang, Guolong Cai, Qianghong Xu, Caibao Hu, Jing Yan, Jiao Liu

Abstract read
In one paragraph

Article in Annals of intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yanfei Shen *Department of Intensive Care, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Dechang Chen *Department of Intensive Care, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xinmei Huang *Department of Internal Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Guolong CaiDepartment of Intensive Care, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Qianghong XuDepartment of Intensive Care, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Caibao HuDepartment of Intensive Care, Zhejiang Hospital, Hangzhou, Zhejiang, China.
Jing YanDepartment of Intensive Care, Zhejiang Hospital, Hangzhou, Zhejiang, China. zjicu@vip.163.com.
Jiao LiuDepartment of Internal Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. catherine015@163.com.

Funding

Zhejiang medical and health science and technology project 2021KY001
6 · The paper itself

Abstract

backgroundCoronavirus disease has heterogeneous clinical features; however, the reasons for the heterogeneity are poorly understood. This study aimed to identify clinical phenotypes according to patients' temperature trajectory.

methodA retrospective review was conducted in five tertiary hospitals in Hubei Province from November 2019 to March 2020. We explored potential temperature-based trajectory phenotypes and assessed patients' clinical outcomes, inflammatory response, and response to immunotherapy according to phenotypes.

resultsA total of 1580 patients were included. Four temperature-based trajectory phenotypes were identified: normothermic (Phenotype 1); fever, rapid defervescence (Phenotype 2); gradual fever onset (Phenotype 3); and fever, slow defervescence (Phenotype 4). Compared with Phenotypes 1 and 2, Phenotypes 3 and 4 had a significantly higher C-reactive protein level and neutrophil count and a significantly lower lymphocyte count. After adjusting for confounders, Phenotypes 3 and 4 had higher in-hospital mortality (adjusted odds ratio and 95% confidence interval 2.1, 1.1-4.0; and 3.3, 1.4-8.2, respectively), while Phenotype 2 had similar mortality, compared with Phenotype 1. Corticosteroid use was associated with significantly higher in-hospital mortality in Phenotypes 1 and 2, but not in Phenotypes 3 or 4 (p for interaction < 0.01). A similar trend was observed for gamma-globulin.

conclusionsPatients with different temperature-trajectory phenotypes had different inflammatory responses, clinical outcomes, and responses to corticosteroid therapy.

Indexed as

CorticosteroidsCOVID-19Inflammatory responseMortalityTemperature

Identifiers

PMID34342755
PMCPMC8330187

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