Evidence map›Paper›PMID 35592303›Full record

ArticleThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale2022

A Novel Predictive Model in Recognizing Severe COVID-19 and Multiorgan Injuries: Platelet-to-CRP Ratio.

Wei Chen, Kenneth I Zheng, Saiduo Liu, Chongyong Xu, Chao Xing, Zengpei Qiao

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In one paragraph

Article in The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale, 2022. 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
–field-weighted citation impact
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

6 authors.

Wei ChenDepartment of Radiology, The Second Affiliated Hospital of Wenzhou Medical University, Yuying Chilldren's Hospital, Wenzhou, China.ORCID https://orcid.org/0000-0002-2417-1299
Kenneth I ZhengMAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.ORCID https://orcid.org/0000-0002-1726-9298
Saiduo LiuDepartment of Infectious Disease, The Sixth People's Hospital of Wenzhou, Wenzhou, China.ORCID https://orcid.org/0000-0003-2160-3321
Chongyong XuDepartment of Radiology, The Second Affiliated Hospital of Wenzhou Medical University, Yuying Chilldren's Hospital, Wenzhou, China.ORCID https://orcid.org/0000-0001-5512-1297
Chao XingDepartment of Laboratory Medicine, The Second Affiliated Hospital of Wenzhou Medical University, Yuying Children's Hospital, Wenzhou, China.ORCID https://orcid.org/0000-0002-8269-7141
Zengpei QiaoDepartment of Laboratory Medicine, The Second Affiliated Hospital of Wenzhou Medical University, Yuying Children's Hospital, Wenzhou, China.ORCID https://orcid.org/0000-0002-6668-4404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: In view of the emerging virus variations and pandemic worldwide, it is urgent to explore effective models predicting disease severity. Methods: We aimed to investigate whether platelet-to-CRP ratio (PC ratio) could predict the severity of COVID-19 and multi-organ injuries. Patients who complained of pulmonary or gastrointestinal symptoms were enrolled after confirmation of SARS-CoV-2 infection via qRT-PCR. Those who complained of gastrointestinal symptoms were defined as having initial gastrointestinal involvement. Chest computed tomography (CT) was then performed to classify the patients into mild, moderate, and severe pneumonia groups according to the interim management guideline. qRT-PCR was also performed on stool to discern those discharging virus through the gastrointestinal tract. Logistic regression models were applied to analyze the association between PC ratio and severity of pneumonia, risk of initial gastrointestinal involvement, and multi-organ injuries. Results: When compared to the bottom tertile of PC ratio, the adjusted odds ratio was -0.51, Conclusions: Platelet-to-CRP ratio could act as an effective model in recognizing severe COVID-19 and multi-organ injuries.

Identifiers

PMID35592303
PMCPMC9113906

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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.