Bibliographic Details
Title: |
Reduced mechanical function of the left atrial predicts adverse outcome in pregnant women with clustering of metabolic risk factors |
Authors: |
Xiaoguang Ye, Zhitian Li, Yidan Li, Qizhe Cai, Lanlan Sun, Weiwei Zhu, Xueyan Ding, Dichen Guo, Yunyun Qin, Xiuzhang Lu |
Source: |
BMC Cardiovascular Disorders, Vol 21, Iss 1, Pp 1-9 (2021) |
Publisher Information: |
BMC, 2021. |
Publication Year: |
2021 |
Collection: |
LCC:Diseases of the circulatory (Cardiovascular) system |
Subject Terms: |
Echocardiography, Metabolic risk factors, Left atrial function, Diseases of the circulatory (Cardiovascular) system, RC666-701 |
More Details: |
Abstract Introduction The left atrial (LA) strain and strain rate are sensitive indicators of LA function. However, they are not widely used for the evaluation of pregnant women with metabolic diseases. The aim of this study was to assess the LA strain and strain rate of pregnant women with clustering of metabolic risk factors and to explore its prognostic effect on adverse pregnancy outcomes. Materials and methods Sixty-three pregnant women with a clustering of metabolic risk factors (CMR group), fifty-seven women with pregnancy-induced hypertension (PIH group), fifty-seven women with gestational diabetes mellitus (GDM group), and fifty matched healthy pregnant women (control group) were retrospectively evaluated. LA function was evaluated with two-dimensional speckle-tracking imaging. Iatrogenic preterm delivery caused by severe preeclampsia, placental abruption, and fetal distress was regarded as the primary adverse outcome. Results The CMR group showed the lowest LA strain during reservoir phase (LASr), strain during contraction phase (LASct) and peak strain rate during conduit phase (pLASRcd) among the three groups (P |
Document Type: |
article |
File Description: |
electronic resource |
Language: |
English |
ISSN: |
1471-2261 |
Relation: |
https://doaj.org/toc/1471-2261 |
DOI: |
10.1186/s12872-021-02082-7 |
Access URL: |
https://doaj.org/article/49af28a3cf804d35a15aef39ba467bd7 |
Accession Number: |
edsdoj.49af28a3cf804d35a15aef39ba467bd7 |
Database: |
Directory of Open Access Journals |