Evidence map›Paper›PMID 34527313›Full record

ArticleJournal of thoracic disease2021

Low CD4 T cell count predicts radiological progression in severe and critically ill COVID-19 patients: a case control study.

Qingqing Wang, Yumeng Yao, Zheyong Huang, Jiatian Cao, Chouwen Zhu, Kaihuan Yu, Jue Pan, Bijie Hu

Abstract read
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Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qingqing WangDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Yumeng YaoDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Zheyong HuangShanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Jiatian CaoShanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Chouwen ZhuDepartment of Gastroenterology, Zhongshan Hospital, Fudan University, Shanghai, China.
Kaihuan YuDepartment of Hepatobiliary Endoscopic Surgery, Renmin Hospital, Wuhan University, Wuhan, China.
Jue PanDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.
Bijie HuDepartment of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNovel coronavirus disease (COVID-19) has spread globally and caused over 3 million deaths, posing great challenge on public health and medical systems. Limited data are available predictive factors for disease progression. We aim to assess clinical and radiological predictors for pulmonary aggravation in severe and critically ill COVID-19 patients.

methodsPatients with confirmed COVID-19 in Renmin Hospital of Wuhan University, China, between Feb. 6th, 2020 and Feb. 21st, 2020 were retrospectively collected. Enrolled patients were divided into non-progression group and progression group based on initial and follow-up chest CTs. Clinical, laboratory, and radiological variables were analyzed.

resultsDuring the study period, 162 patients were identified and a total of 126 patients, including 97 (77.0%) severe cases and 29 (23.0%) critically ill cases were included in the final analysis. Median age was 66.0 (IQR, 56.0-71.3) years. Median time from onset to initial chest CT was 15.0 (IQR, 12.0-20.0) days and median interval to follow-up was 7.0 (IQR, 5.0-7.0) days. Compared with those who did not progress (n=111, 88.1%), patients in the progression group (n=15, 11.9%) had significantly higher percentage of peak body temperature >38 °C (P=0.002), lower platelet count (P=0.011), lower CD4 T cell count (P=0.002), lower CD8 count (P=0.011), higher creatine kinase level (P=0.002), and lower glomerular filtration rate (P=0.018). On both univariate and multivariable analysis, only CD4 T cell count <200/µL was significant (OR, 6.804; 95% CI, 1.450-31.934; P=0.015) for predicting pulmonary progression.

conclusionsLow CD4 T cell count predicts progression of pulmonary change in severe and critically ill patients with COVID-19.

Indexed as

CD4 T cellsNovel coronavirus disease (COVID-19)predictive factorsradiological progression

Identifiers

PMID34527313
PMCPMC8411132

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