Clinical Characteristics and Long-term Predictors of Persistent Left Ventricular Systolic Dysfunction in Peripartum XXXX .

@entity1 @entity296 @entity384 @entity3876 @entity299 @entity1851
BACKGROUND: @entity296 ( @entity296 ) is a potentially life-threatening @entity384 that occurs in previously well @entity1 during pregnancy or postpartum. The predictors of persistent left ventricular (LV) @entity299 (LVSD) in @entity296 are poorly understood and were the subject of this study. METHODS: @entity1 with @entity296 (n  = 71), who were admitted to Beijing Friendship Hospital from 2004 to 2011, were retrospectively analyzed. Data including electrocardiographic and echocardiographic measurements at diagnosis (baseline) and at the last follow-up visit were collected. Data on plasma @entity3876 ( @entity3876 ) and @entity1851 ( @entity1851 ) levels were also collected at baseline. A receiver operating characteristic curve was used to determine the cutoff values. Univariate and multivariate analyses were used to assess the significant predictive variables for persistent LVSD. RESULTS: Thirty-one @entity1 (44%) did not recover completely at the last follow-up visit (LV nonrecovery group), and 40 @entity1 (56%) had good LV recovery (LV recovery group). Baseline @entity3876 level was positively correlated with LV end-diastolic diameter (r  = 0.559; P < 0.001), and inversely correlated with LV ejection fraction (LVEF) (r  =  -0.548; P < 0.001) and fractional shortening (r  =  -0.542; P < 0.001). There was no difference in @entity1851 levels between the 2 groups. Receiver operating characteristic curves indicated the cutoff value in terms of predicting persistent LVSD was 34% for LVEF, 64 mm for LV end-diastolic diameter, 16% for fractional shortening, and 1860 pg/mL for @entity3876 . Univariate and multivariate analyses confirmed that LVEF < 34% (95% CI, 1.38-7.30; P  = 0.007) and @entity3876 > 1860 pg/mL (95% CI, 1.18-6.99; P  = 0.020) were independent prognostic factors in predicting persistent LVSD. CONCLUSIONS: LVEF and plasma @entity3876 levels have good predictive value in long-term @entity299 .
