Evidence map›Paper›PMID 34756391›Full record

ArticleThe American journal of emergency medicine2021

Elevated cardiac biomarkers may be effective prognostic predictors for patients with COVID-19: A multicenter, observational study.

Jie Yang, Xuelian Liao, Wanhong Yin, Bo Wang, Jirong Yue, Lang Bai, Dan Liu, Ting Zhu, Zhixin Huang, Yan Kang and 1 more

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PubMed Full text at PMC Publisher
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Article in The American journal of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Recent Advance Analysis of Recovery in Hospitalized People with COVID-19: A Systematic Review.International journal of environmental research and public health · 2022
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  8. Clinical outcomes at medium-term follow-up of COVID-19.The journal of the Royal College of Physicians of Edinburgh · 2022
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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

11 authors.

Jie YangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province 610041, China.
Xuelian LiaoDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province 610041, China.
Wanhong YinDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province 610041, China; COVID19 Medical Team (Hubei) of West China Hospital, Sichuan University, China.
Bo WangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province 610041, China.
Jirong YueCOVID19 Medical Team (Hubei) of West China Hospital, Sichuan University, China; Department of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan Province 610041, China.
Lang BaiCOVID19 Medical Team (Hubei) of West China Hospital, Sichuan University, China; Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, Sichuan Province 610041, China.
Dan LiuCOVID19 Medical Team (Hubei) of West China Hospital, Sichuan University, China; Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province 610041, China.
Ting ZhuDepartment of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province 430060, China.
Zhixin HuangDepartment of Obstetrics and Gynecology, Renmin Hospital of Wuhan University, Wuhan, Hubei Province 430060, China.
Yan KangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan Province 610041, China; COVID19 Medical Team (Hubei) of West China Hospital, Sichuan University, China. Electronic address: kangyan@scu.edu.cn.
Study of 2019 Novel Coronavirus Pneumonia Infected Critically Ill Patients in Sichuan Province (SUNRISE) GroupThe SUNRISE Group, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe coronavirus disease 19 (COVID-19) has become a global health event. Cardiac biomarkers like creatine kinase isoenzyme (CK-MB), myoglobin, and high-sensitivity troponin T were usually elevated in early stages. This study aimed to investigate whether the elevated cardiac biomarkers could become effective prognostic predictors for COVID-19 patients.

methodsThe present study involved 357 COVID-19 patients. The potential predictors for two study outcomes (in-hospital death and recovery status) in 28 days were selected by LASSO regression analysis. Prognostic values of cardiac biomarkers selected were evaluated using the receiver operating characteristic curve (ROC) and the area under ROC (AUC).

resultsAfter 28-day follow-up, overall 357 patients were divided into death group (n = 25) and survival group (n = 332), or non-recovery group (n = 43) and recovery group (n = 314). The LASSO regression analysis showed elevated CK-MB and myoglobin were independent risk predictors for in-hospital death, and CK-MB and myoglobin were also independent risk predictors for non-recovery. The AUC of CK-MB and myoglobin for in-hospital death were 0.862 (95%CL: 0.804-0.920, p < 0.001) and 0.838 respectively (95%CL: 0.729-0.947, p < 0.001). The AUC of CK-MB and myoglobin for non-recovery were 0.839 (95%CL: 0.786-0.892, p < 0.001) and 0.841 (95%CL: 0.765-0.918, p < 0.001) respectively. We also found AUC of combined use of CK-MB and myoglobin for in-hospital death and non-recovery were 0.883 (95CL: 0.813-0.952, p < 0.001), and 0.873 (95%CL: 0.817-0.930, p < 0.001) respectively.

conclusionsIn patients with COVID-19, elevated CK-MB and myoglobin on admission may be effective predictors for adverse outcomes, and combined use of CK-MB and myoglobin had a better performance for prediction.

Indexed as

COVID-19Creatine kinase isoenzymeMyoglobinPrognosisRisk predictors

Identifiers

PMID34756391
PMCPMC7553004

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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.