Evidence map›Paper›PMID 34632871›Full record

ArticleTherapeutic advances in respiratory disease

The predictive role of lymphocyte subsets and laboratory measurements in COVID-19 disease: a retrospective study.

Lin Wang, Jun Chen, Jun Zhao, Feng Li, Shuihua Lu, Ping Liu, Xu-Hui Liu, Qin Huang, He Wang, Qing Nian Xu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

14 authors at 2 institutions in 2 countries.

Lin WangDepartment of Nursing, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China.
Jun ChenDepartment of Infectious Diseases and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China.
Jun ZhaoDepartment of Paediatrics, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China.
Feng LiDepartment of Respiratory Disease, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China.
Shuihua LuDepartment of Tuberculosis, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China.
Ping LiuDepartment of Tuberculosis, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China.
Xu-Hui LiuDepartment of Tuberculosis, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China.
Qin HuangDepartment of Infectious Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China.
He WangDepartment of Intensive care unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China.
Qing Nian XuDepartment of Hepatology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China.
Xiaomin LiuDepartment of Infectious Diseases and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China.
Shijun YuMedical Affairs, BD Biosciences, San Jose, CA, USA.
Li LiuDepartment of Infectious Diseases and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, P.R. China.ORCID 0000-0002-8111-926X
Hongzhou LuDepartment of Infectious Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, P.R. China.
Shanghai Public Health Clinical Center · CNBD Biosciences (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study was to investigate the predictive role of lymphocyte subsets and other laboratory measurements in patients with COVID-19.

methodsElectronic medical records of adult patients with confirmed diagnosis of COVID-19 from the Shanghai Public Health Clinical Center were reviewed retrospectively to obtain relevant data.

resultsThe mean age of patients was 40.98 ± 15.95 years, with 58% of the patients being males. The cutoff values at the intensive care unit (ICU) admission, mechanical ventilation, and mortality were CD4+ cells (267, 198, and 405), CD8+ cells (263, 203, and 182), and CD4+ /CD8+ cells (1.4, 1.8, and 1.4). The cutoffs below these values indicate the higher chances of disease progression. Higher CD4+ cell count led to lesser chances for ICU admission [odds ratio (OR) (95% confidence interval (CI): 0.994 (0.991, 0.997);

conclusionLower T lymphocyte subsets were significantly associated with higher admission to ICU, mechanical ventilation, and mortality among patients with COVID-19. A cutoff value of ICU admission, mechanical ventilation, and mortality below CD4+ cells (267, 198, and 405), CD8+ cells (263, 203, 182), and CD4+/CD8+ cells (1.4, 1.8, 1.4) may help identify patients at high risk of disease progression. The continuous evaluation of laboratory indices may help with dismal prognosis and prompt intervention to improve outcomes.

Indexed as

AdultChinaCOVID-19Disease ProgressionFemaleHumansIntensive Care UnitsLymphocyte CountLymphocyte SubsetsMaleMiddle AgedPrognosisRespiration, ArtificialRetrospective StudiesRisk FactorsSeverity of Illness IndexCD3CD4cellular immunityCOVID-19lymphocyte subsetspredictive

Identifiers

PMID34632871
PMCPMC8512232
OpenAlexW3205685466

What OpenQuestion holds

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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.