Heart rate as an early predictor of severe cardiomyopathy and increased mortality in peripartum cardiomyopathy.

ABSTRACT:

Background

Delays in diagnosis of peripartum cardiomyopathy (PPCM) are common and are associated with worse outcomes; however, few studies have addressed methods for improving early detection.

Hypothesis

We hypothesized that easily accessible data (heart rate [HR] and electrocardiograms [ECGs]) could identify women with more severe PPCM and at increased risk of adverse outcomes.

Methods

Clinical data, including HR and ECG, from patients diagnosed with PPCM between January 1998 and July 2016 at our institution were collected and analyzed. Linear and logistic regression were used to analyze the relationship between HR at diagnosis and the left ventricular ejection fraction (LVEF) at diagnosis. Outcomes included overall mortality, recovery status, and major adverse cardi

SUBMITTER: Cooney R 

PROVIDER: S-EPMC8860487 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature