Evidence map›Paper›PMID 39415195›Full record

ArticleOrphanet journal of rare diseases2024

Evaluation of global and regional myocardial work by echocardiography in patients with Fabry disease.

Han Wang, Ying Yang, Lin Liu, Yawen Zhao, Yang Li, Wei Zhang, Wei Ma

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Han WangDepartment of Cardiology, Peking University First Hospital, 8 Xishiku St, Xicheng District, Beijing, 100034, China.
Ying YangDepartment of Cardiology, Peking University First Hospital, 8 Xishiku St, Xicheng District, Beijing, 100034, China.
Lin LiuDepartment of Cardiology, Peking University First Hospital, 8 Xishiku St, Xicheng District, Beijing, 100034, China.
Yawen ZhaoDepartment of Neurology, Peking University First Hospital, Beijing, China.
Yang LiDepartment of Nephrology, Peking University First Hospital, Beijing, China.
Wei ZhangDepartment of Neurology, Peking University First Hospital, Beijing, China.
Wei MaDepartment of Cardiology, Peking University First Hospital, 8 Xishiku St, Xicheng District, Beijing, 100034, China. kmmawei@sina.com.ORCID 0000-0003-1305-3980

Funding

National Key Research and Development Program of China 2021YFC2501106
6 · The paper itself

Abstract

backgroundThis study aimed to quantitatively evaluate the left ventricular global and regional myocardial work of patients in Fabry disease (FD) by echocardiographic pressure-strain loop (PSL) analysis.

resultsThe study included 48 patients with FD and 48 healthy controls matched for age and sex. According to the presence/absence of left ventricular hypertrophy (LVH), the patients with FD were divided into an LVH + group and an LVH- group. Left ventricular blood pressure was estimated noninvasively according to echocardiographic valvular events and systolic pressure in the brachial artery. Left ventricular myocardial work parameters were acquired by echocardiographic pressure-strain loop analysis. The FD groups had a significantly lower global longitudinal strain (GLS), global work index, global work efficiency (GWE), global constructive work and higher global waste work than the control group (P < .05). Regional analysis showed that all segmental myocardial waste work increased and myocardial work efficiency decreased in the LVH + group than in the LVH- group (P < .05). Segmental longitudinal strain, myocardial work index, and myocardial constructive work were markedly lower in the basal and middle segments (P < .05) and preserved in the apical segments. Multivariate analysis revealed that GWE and GLS were significant related to LVH.

conclusionsMyocardial work analysis can be used to assess global and regional myocardial work in patients with FD. In this study, GLS and GWE were reduced in patients with FD and associated with the presence of LVH. Basal and middle myocardial work decreased in relation to the LVH, while apical myocardial work remained, which added value to explore the distribution of myocardial impairment.

Indexed as

EchocardiographyFabry DiseaseAdultFemaleHumansHypertrophy, Left VentricularMaleMiddle AgedMyocardium

Identifiers

PMID39415195
PMCPMC11484302

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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.