Evidence map›Paper›PMID 32417210›Full record

ArticleClinica chimica acta; international journal of clinical chemistry2020

The underlying changes and predicting role of peripheral blood inflammatory cells in severe COVID-19 patients: A sentinel?

Da-Wei Sun, Dong Zhang, Run-Hui Tian, Yang Li, Yu-Shi Wang, Jie Cao, Ying Tang, Nan Zhang, Tao Zan, Lan Gao and 5 more

Open access · greenAbstract read
In one paragraph

Article in Clinica chimica acta; international journal of clinical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 4 pooled it
2.1field-weighted citation impact, top 7% 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

52 citing papers in PubMed, 4 syntheses or guidelines pooled it, 93 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Review
  7. Observational
  8. Article
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  10. Bronchial Asthma and COVID-19: Etiology, Pathological Triggers, and Therapeutic Considerations.Pathophysiology : the official journal of the International Society for Pathophysiology · 2024
    Review
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  13. [Clinical features of 23 neonates infected with Omicron variant of severe acute respiratory syndrome coronavirus 2].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023
    Article
  14. Review
  15. Review
  16. Article
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  19. Article
  20. Cytokine Storm Signature in Patients with Moderate and Severe COVID-19.International journal of molecular sciences · 2022
    Article
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 at 2 institutions in 1 country.

Da-Wei SunDepartment of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: sundawei2008@sina.cn.
Dong ZhangDepartment of Intensive Care Unit, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: zhangdong21245@sina.com.
Run-Hui TianDepartment of Psychology, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: 58383894@qq.com.
Yang LiDepartment of Thoracic Surgery, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: li_yang1973@163.com.
Yu-Shi WangDepartment of Cardiology, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China.
Jie CaoDepartment of Neurology, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: caojie_lily@sina.com.
Ying TangDepartment of Respiration, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: 87212020@qq.com.
Nan ZhangDepartment of Gastroenterology, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: zn0972@163.com.
Tao ZanDepartment of Intensive Care Unit, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: faye1919@126.com.
Lan GaoDepartment of Neurology, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: 1329695978@qq.com.
Yan-Zhu HuangDepartment of Neurology, Tongji Hospital Affiliated to Huazhong University of Science and Technology, Wuhan 430030, China. Electronic address: 460625287@qq.com.
Chang-Lei CuiDepartment of Anesthesiology, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: cuicl@jlu.edu.cn.
Dong-Xuan WangDepartment of Ultrasound, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: dongxuanwang@hotmail.com.
Yang ZhengDepartment of Cardiology, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: zhengyang@jlu.edu.cn.
Guo-Yue LvDepartment of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Jilin University, Changchun 130021, Jilin, China. Electronic address: lvguoyue@sina.com.
Jilin University · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe underlying changes of peripheral blood inflammatory cells (PBICs) in COVID-19 patients are little known. Moreover, the risk factors for the underlying changes of PBICs and their predicting role in severe COVID-19 patients remain uncertain. MATERIAL AND

methodsThis retrospective study including two cohorts: the main cohort enrolling 45 patients of severe type serving as study group, and the secondary cohort enrolling 12 patients of no-severe type serving as control group. The PBICs analysis was based on blood routine and lymphocyte subsets. The inflammatory cell levels were compared among patients according to clinical classifications, disease-associated phases, as well as one-month outcomes.

resultsCompared with patients of non-severe type, the patients of severe type suffered from significantly decreased counts of lymphocytes, eosinophils, basophils, but increased counts of neutrophils. These PBICs alterations got improved in recovery phase, but persisted or got worse in aggravated phase. Compared with patients in discharged group, the patients in un-discharged/died group suffered from decreased counts of total T lymphocytes, CD4 + T lymphocytes, CD8 + T lymphocytes, as well as NK cells at 2 weeks after treatment. Clinical classification-critically severe was the independently risk factor for lymphopenia (OR = 7.701, 95%CI:1.265-46.893, P = 0.027), eosinopenia (OR = 5.595, 95%CI:1.008-31.054, P = 0.049), and worse one-month outcome (OR = 8.984; 95%CI:1.021-79.061, P = 0.048).

conclusionLymphopenia and eosinopenia may serve as predictors of disease severity and disease progression in COVID-19 patients, and enhancing the cellular immunity may contribute to COVID-19 treatment. Thus, PBICs might become a sentinel of COVID-19, and it deserves attention during COVID-19 treatment.

Indexed as

AgedBetacoronavirusBiomarkersCell CountCoronavirus InfectionsCOVID-19Disease ProgressionEosinophilsFemaleHumansKiller Cells, NaturalLymphocyte SubsetsLymphopeniaMaleMiddle AgedMonocytesBiomarkersBlood routine testCOVID-19Lymphocytes subsetsPeripheral blood inflammatory cells (PBICs)Severe type

Identifiers

PMID32417210
PMCPMC7224669
OpenAlexW3024319412

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Registered trials

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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.