Abstract:INTRODUCTION: Healthy pregnancy causes significant changes in maternal hemodynamics that lead to structural and functional adaptation of a woman's heart. Reductions in ejection fraction have been reported in healthy pregnancy; however, this measure of cardiac contractile function is over simplistic and insensitive to the underpinning hemodynamic load. Indices of systolic myocardial deformation, such as left ventricular strain and twist ('LV mechanics') may therefore provide a more accurate assessment of cardia… Show more
“…Change in strain may be different by trimester, single vs multiple gestations, maternal age, and by other co-morbidities in pregnancy, like diabetes, in which GLS is reduced. 22 Identifying women at risk or predicting the prognosis of established PPCM would be useful in disease management.…”
Objectives: Data regarding the longitudinal relationship of global longitudinal strain (GLS) and echocardiographic parameters are lacking in peripartum cardiomyopathy (PPCM). We evaluated GLS and its correlation with change (∆) in left ventricular ejection fraction (LVEF). Methods: We retrospectively identified women age ≥16 years hospitalized at Montefiore Medical Center in Bronx, NY from 1999-2015 with International Statistical Classification of Diseases and Related Health Problems, 9th revision codes for PPCM or an occurrence of unexplained heart failure during or up to 5 months postpartum. N = 195 charts were reviewed for inclusion/exclusion criteria, n = 53 patients met criteria for PPCM, and of those, n = 13 had a baseline and follow-up echocardiogram suitable for GLS analysis.Results: Of those eligible for strain analysis, the mean age was 30 ± 6 years, 46.2% identified as Black and 38.5% as Hispanic/Latina. Baseline LVEF was 30 (25, 35)%, GLS was −13.2 (−14, −7.6)%. At a mean follow-up time of 1.2 ± 0.7 years, 11/13 had persistently mild −15.6 (−16.3, −12.7)%, and 2/13 severely abnormal GLS −7.05
“…Change in strain may be different by trimester, single vs multiple gestations, maternal age, and by other co-morbidities in pregnancy, like diabetes, in which GLS is reduced. 22 Identifying women at risk or predicting the prognosis of established PPCM would be useful in disease management.…”
Objectives: Data regarding the longitudinal relationship of global longitudinal strain (GLS) and echocardiographic parameters are lacking in peripartum cardiomyopathy (PPCM). We evaluated GLS and its correlation with change (∆) in left ventricular ejection fraction (LVEF). Methods: We retrospectively identified women age ≥16 years hospitalized at Montefiore Medical Center in Bronx, NY from 1999-2015 with International Statistical Classification of Diseases and Related Health Problems, 9th revision codes for PPCM or an occurrence of unexplained heart failure during or up to 5 months postpartum. N = 195 charts were reviewed for inclusion/exclusion criteria, n = 53 patients met criteria for PPCM, and of those, n = 13 had a baseline and follow-up echocardiogram suitable for GLS analysis.Results: Of those eligible for strain analysis, the mean age was 30 ± 6 years, 46.2% identified as Black and 38.5% as Hispanic/Latina. Baseline LVEF was 30 (25, 35)%, GLS was −13.2 (−14, −7.6)%. At a mean follow-up time of 1.2 ± 0.7 years, 11/13 had persistently mild −15.6 (−16.3, −12.7)%, and 2/13 severely abnormal GLS −7.05
“…The study took place in the Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University between January 2015 and April 2017. The data presented in this manuscript is a secondary analysis of a larger cross-sectional study that investigated cardiovascular responses to physiological challenges during and after pregnancy (Meah et al, 2019). As such, the power calculation for the sample size (n = 10 per group) was calculated to achieve the primary aim of the study.…”
Section: Ethical Approval and Participant Recruitmentmentioning
confidence: 99%
“…Forty-five Caucasian women were included in the analyses (non-pregnant women, n = 18, pregnant women between 22-26 weeks gestation, n = 15, postpartum women 12-16 weeks post-delivery, n = 12). The baseline characteristics of the population are presented in Table 1 and have been published previously (Meah et al, 2019). Based upon self-report, volunteers were healthy non-smokers, free from cardiovascular and/or metabolic diseases and were not taking any medication at the time of inclusion.…”
Section: Ethical Approval and Participant Recruitmentmentioning
confidence: 99%
“…‡ = indicates differences between groups were identified using independent t-tests that were corrected for multiple comparisons using the Bonferroni correction. Some of the presented data has previously been published elsewhere (Meah et al, 2019).…”
Section: Ethical Approval and Participant Recruitmentmentioning
confidence: 99%
“…x ± SD 95% LoA: Intra-observer CV for measurement of ̇ using echocardiography was 3.2% at rest (Meah et al, 2019) and 3.9% during exercise, as presented in Table 2. The CV was markedly greater at rest and during exercise for ̇ estimated by the Modelflow® method.…”
During pregnancy, assessment of cardiac output (̇), a fundamental measure of cardiovascular function, provides important insight into maternal adaptation. However, methods for dynamic ̇ measurement require validation. The purpose of this study was to estimate the agreement of ̇ measured by echocardiography and Modelflow® at rest and during submaximal exercise in non-pregnant (n = 18), pregnant (n = 15, 22-26 weeks gestation) and postpartum women (n = 12, 12-16 weeks post-delivery). Simultaneous measurements of ̇ derived from echocardiography [criterion] and Modelflow® were obtained at rest and during lowmoderate intensity (25% and 50% peak power output) cycling exercise and compared using Bland-Altman analysis and limits of agreement. Agreement between echocardiography and Modelflow® was poor in nonpregnant, pregnant and postpartum women at rest (mean difference ± SD: -1.1 ± 3.4; -1.2 ± 2.9; -1.9 ± 3.2 L.min -1 ), and this remained evident during exercise. The Modelflow® method is not recommended for ̇ determination in research involving young, healthy non-pregnant and pregnant women at rest or during dynamic challenge. Previously published ̇ data from studies utilising this method should be interpreted with caution.
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