Maternal cardiac function at 19–23 weeks’ gestation in the prediction of preeclampsia
Ultrasound in Obstetrics & Gynecology Dec 20, 2020
Gibbone E, Wright A, Campos RV, et al. - Researchers aimed at determining the factors from maternal characteristics and medical history that affect maternal cardiovascular indices. In addition, they investigated the potential predictive value of maternal cardiovascular indices at 19‐23 weeks’ gestation on their own and in combination with the established biomarkers of preeclampsia (PE), including uterine artery pulsatility index (UtA‐PI), mean arterial pressure (MAP), serum placental growth factor (PlGF) and serum soluble fms‐like tyrosine kinase‐1 (sFLT), for subsequent development of PE. A prospective observational study was conducted in 2,853 pregnancies in women attending for a routine hospital visit at 19+1
‐ 23+3
weeks’ gestation. PE developed in 76 (2.7%) pregnancies. Evidence of altered cardiac geometry, impaired myocardial function and increased peripheral vascular resistance was noted in pregnancies that subsequently developed PE. Maternal demographic characteristics and elements of medical history known to be linked with raised risk for subsequent development of PE had a significant impact on all maternal cardiovascular indices. Correlation of peripheral vascular resistance MoM with MAP MoM was noted, which is obvious as blood pressure is involved in the estimation of both. In addition, small correlations were observed between several cardiovascular indices with MAP MoM, but none with MoM values of UtA‐PI, PlGF or sFLT‐1. No improvement in the performance of screening of delivery with PE at < 37 weeks’ gestation or delivery with PE at any gestational age in screening by maternal demographic characteristics and medical history or combinations of maternal factors with MAP, UtA‐PI, PlGF and sFLT‐1 was noted by the addition of peripheral vascular resistance. Overall findings suggest assessment of maternal cardiovascular function informative concerning the pathophysiology of PE however, it is not valuable in the prediction of PE.
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