Evidence map›Paper›PMID 38812249›Full record

ArticleESC heart failure2024

Relation of myocardial dysfunction to biomarkers, COVID-19 severity and all-cause mortality.

Jianxiong Chen, Lin Jin, Mengjiao Zhang, Lingheng Wu, Cuiqin Shen, Jiali Sun, Lianfang Du, Xianghong Luo, Zhaojun Li

Abstract read
In one paragraph

Article in ESC heart failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Jianxiong ChenDepartment of Ultrasound, Shanghai General Hospital of Nanjing Medical University, Shanghai, China.
Lin JinDepartment of Ultrasound, Guanghua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Mengjiao ZhangDepartment of Ultrasound, Jiading Branch of Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Lingheng WuDepartment of Ultrasound, Shanghai General Hospital of Nanjing Medical University, Shanghai, China.
Cuiqin ShenDepartment of Ultrasound, Jiading Branch of Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jiali SunDepartment of Ultrasound, Jiading Branch of Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Lianfang DuDepartment of Ultrasound, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xianghong LuoDepartment of Echocardiology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhaojun LiDepartment of Ultrasound, Shanghai General Hospital of Nanjing Medical University, Shanghai, China.ORCID 0000-0001-6459-3667

Funding

Natural Science Foundation of Shanghai 21ZR1451400Shanghai Health and Family Planning Commission Fund 202240235Shanghai Jiading District Health and Family Planning Commission Fund 2021-KY-10Startup Fund for Scientific Research, Fujian Medical University 2022QH1232
6 · The paper itself

Abstract

aimsThe COVID-19 infection has been described as affecting myocardial injury. However, the relation between left ventricular global longitudinal strain (GLS), global circumferential strain (GCS) and global radial strain (GRS), disease severity and all-cause mortality in COVID-19 is unclear. METHODS AND

resultsThe study consisted of 220 patients with COVID-19, including 127 (57.5%) with mild, 43 (19.5%) with moderate and 50 (22.7%) with severe/critical conditions. Myocardial dysfunction was analysed by GLS, GCS and GRS using two-dimensional speckle-tracking echocardiography. Hazard ratios and Kaplan-Meier curves were produced to assess the association between strains and cardiac biomarker indices with a composite outcome of all-cause mortality. With an average follow-up period of 11 days, 19 patients reached the endpoint (death). Significant associations were found for the three strain parameters and the levels of blood urea nitrogen (BUN) (r = 0.206, 0.221 and 0.355, respectively). Cardiac troponin I (cTnI) was closely related to the GLS and GCS (r = 0.240 and 0.324, respectively). In multivariable Cox regression, GCS > -21.6% was associated with all-cause death {hazard ratio, 4.007 [95% confidence interval (CI), 11.347-11.919]}.

conclusionsGLS, GCS and GRS are significantly related to myocardial dysfunction in patients with COVID-19. Worsening GCS poses an increased risk of death in COVID-19.

Indexed as

BiomarkersCOVID-19EchocardiographySeverity of Illness IndexAgedCause of DeathFemaleHumansMaleMiddle AgedSARS-CoV-2Troponin IVentricular Dysfunction, LeftBiomarkersTroponin ICOVID‐19heart failurespeckle‐tracking echocardiographystrain

Identifiers

PMID38812249
PMCPMC11424372

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.