Evidence map›Paper›PMID 35964127›Full record

ArticleBiomedical engineering online2022

Non-invasive myocardial work index contributes to early identification of impaired left ventricular myocardial function in uremic patients with preserved left ventricular ejection fraction.

Huizhen Zhu, Yanan Li, Cunying Cui, Danqing Huang, Yuanyuan Liu, Ruijie Liu, Qingqing Zhao, Ying Wang, Lin Liu

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Huizhen Zhu *Department of Ultrasound, Fuwai Central China Cardiovascular Hospital, Henan Provincial People's Hospital, Central China Fuwai Hospital of Zhengzhou University, People's Hospital of Zhengzhou University, No.1, Fuwai Road, Zhengzhou, 451464, Henan, China.
Yanan Li *Department of Ultrasound, Fuwai Central China Cardiovascular Hospital, Henan Provincial People's Hospital, Central China Fuwai Hospital of Zhengzhou University, People's Hospital of Zhengzhou University, No.1, Fuwai Road, Zhengzhou, 451464, Henan, China.
Cunying CuiDepartment of Ultrasound, Fuwai Central China Cardiovascular Hospital, Henan Provincial People's Hospital, Central China Fuwai Hospital of Zhengzhou University, People's Hospital of Zhengzhou University, No.1, Fuwai Road, Zhengzhou, 451464, Henan, China.
Danqing HuangDepartment of Ultrasound, Fuwai Central China Cardiovascular Hospital, Henan Provincial People's Hospital, Central China Fuwai Hospital of Zhengzhou University, People's Hospital of Zhengzhou University, No.1, Fuwai Road, Zhengzhou, 451464, Henan, China.
Yuanyuan LiuDepartment of Ultrasound, Fuwai Central China Cardiovascular Hospital, Henan Provincial People's Hospital, Central China Fuwai Hospital of Zhengzhou University, People's Hospital of Zhengzhou University, No.1, Fuwai Road, Zhengzhou, 451464, Henan, China.
Ruijie LiuDepartment of Ultrasound, Fuwai Central China Cardiovascular Hospital, Henan Provincial People's Hospital, Central China Fuwai Hospital of Zhengzhou University, People's Hospital of Zhengzhou University, No.1, Fuwai Road, Zhengzhou, 451464, Henan, China.
Qingqing ZhaoDepartment of Ultrasound, Fuwai Central China Cardiovascular Hospital, Henan Provincial People's Hospital, Central China Fuwai Hospital of Zhengzhou University, People's Hospital of Zhengzhou University, No.1, Fuwai Road, Zhengzhou, 451464, Henan, China.
Ying WangDepartment of Ultrasound, Fuwai Central China Cardiovascular Hospital, Henan Provincial People's Hospital, Central China Fuwai Hospital of Zhengzhou University, People's Hospital of Zhengzhou University, No.1, Fuwai Road, Zhengzhou, 451464, Henan, China.
Lin LiuDepartment of Ultrasound, Fuwai Central China Cardiovascular Hospital, Henan Provincial People's Hospital, Central China Fuwai Hospital of Zhengzhou University, People's Hospital of Zhengzhou University, No.1, Fuwai Road, Zhengzhou, 451464, Henan, China. liulin@zzu.edu.cn.ORCID http://orcid.org/0000-0001-8973-8738
Henan Provincial People's Hospital · CN

Funding

Medical Science and Technology Research Project of Henan Province LHGJ20200084Medical Science and Technology Research Project of Henan Province SB201901099National Natural Science Foundation of China 82071950National Natural Science Foundation of Henan for Excellent Young Scientists 202300410364
6 · The paper itself

Abstract

backgroundCardiac damage is the leading cause of death in uremic patients. This study aimed to evaluate the application of non-invasive myocardial work index (NIMWI) by echocardiography in assessing the left ventricular (LV) systolic function in uremic patients.

methodsTwenty-six uremic patients and 27 age- and sex-matched healthy volunteers were enrolled in the study. Except for the conventional echocardiographic parameters, the LV myocardial work (MW) parameters including GWI (myocardial global work index), GCW (global constructive work), GWW (global wasted work), and GWE (global work efficiency) were calculated in study participants. Differences in MW parameters between the uremic and normal groups were compared by independent-sample t-test. Receiver operating characteristic (ROC) curves were constructed for MW parameters to detect abnormal LV systolic function in uremic patients.

resultsCompared with the normal group, GWW was significantly increased and GWE decreased in the uremic group (P < 0.05). Area under the curve (AUC) for GWE by the ROC analysis was 0.966. The best threshold, sensitivity and specificity values of GWE to detect abnormality of LV systolic function in uremic patients were 92.5%, 0.89 and 0.96, respectively.

conclusionsNIMWI may be applied to assess the global MW of uremic patients. The presence of reduced GWE can help identify impaired left ventricular myocardial function in uremic patients with preserved LV ejection fraction with a high sensitivity and specificity.

Indexed as

EchocardiographyVentricular Function, LeftHumansMyocardiumStroke VolumeSystoleEchocardiographyHemodialysisLeftMyocardial workUremiaVentricular function

Identifiers

PMID35964127
PMCPMC9375296
OpenAlexW4291168207

What OpenQuestion holds

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LicenceCC BY
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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.