Evidence map›Paper›PMID 34184314›Full record

ArticleEchocardiography (Mount Kisco, N.Y.)2021

Incremental prognostic value of biventricular longitudinal strain and high-sensitivity troponin I in COVID-19 patients.

Wei Sun, Yanting Zhang, Chun Wu, Yuji Xie, Li Peng, Xiu Nie, Cheng Yu, Yi Zheng, Yuman Li, Jing Wang and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Echocardiography (Mount Kisco, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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

15 authors at 6 institutions in 2 countries.

Wei SunDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yanting ZhangDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chun WuDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuji XieDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Li PengDepartment of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiu NieDepartment of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Cheng YuDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yi ZhengDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yuman LiDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jing WangDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yali YangDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qing LvDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Li ZhangDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Cynthia C TaubDivision of Cardiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA.
Mingxing XieDepartment of Ultrasound, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huazhong University of Science and Technology · CNState Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing · CNUnion Hospital · CNWuhan Union Hospital · CNAlbert Einstein College of Medicine · USUnion Hospital · CN

Funding

National Natural Science Foundation of China 81727805National Natural Science Foundation of China 81922033
6 · The paper itself

Abstract

backgroundWhether the combination of ventricular strain with high-sensitivity troponin I (hs-TNI) has an incremental prognostic value in coronavirus disease 2019 (COVID-19) patients has not been evaluated. The study aimed to evaluate the prognostic value of biventricular longitudinal strain and its combination with hs-TNI in COVID-19 patients.

methodsA total of 160 COVID-19 patients who underwent both echocardiography and hs-TNI testing were enrolled in our study. COVID-19 patients were divided into two groups (critical and non-critical) according to severity-of-illness. The clinical characteristics, cardiac structure and function were compared between the two groups. The prognostic value of biventricular longitudinal strain and its combination with hs-TNI were evaluated by logistic regression analyses and receiver operating characteristic curves. Left ventricular longitudinal strain (LV LS) and right ventricular free wall longitudinal strain (RVFWLS) were determined by 2D speckle-tracking echocardiography.

resultsThe LV LS and RVFWLS both were significantly lower in critical patients than non-critical patients (LV LS: -16.6±2.4 vs -17.9±3.0, P = .003; RVFWLS :-18.8±3.6 vs -23.9±4.4, P<.001). During a median follow-up of 60 days, 23 (14.4%) patients died. The multivariant analysis revealed that LV LS and RVFWLS [Odd ratio (95% confidence interval): 1.533 (1.131-2.079), P = .006; 1.267 (1.036-1.551), P = .021, respectively] were the independent predictors of higher mortality. Further, receiver-operating characteristic analysis revealed that the accuracy for predicting death was greater for the combination of hs-TNI levels with LV LS than separate LV LS (AUC: .91 vs .77, P = .001), and the combination of hs-TNI levels with RVFWLS than RVFWLS alone (AUC: .89 vs .83, P = .041).

conclusionsOur study highlights that the combination of ventricular longitudinal strain with hs-TNI can provide higher accuracy for predicting mortality in COVID-19 patients, which may enhance risk stratification in COVID-19 patients.

Indexed as

COVID-19Troponin IEchocardiographyHumansPrognosisSARS-CoV-2Troponin Ibiventricular strainCOVID-19high-sensitivity troponin Ispeckle-tracking echocardiography

Identifiers

PMID34184314
PMCPMC8444873
OpenAlexW3196400128

What OpenQuestion holds

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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.