Predictive Value of Echocardiography in Peripartum Cardiomyopathy
10.3969/j.issn.1005-5185.2015.06.009
- VernacularTitle:超声心动图在围生期心肌病中的预测价值
- Author:
Jing LIU
;
Guang SONG
;
Tao MENG
;
Weidong REN
- Publication Type:Journal Article
- Keywords:
Cardiomyopathies;
Pregnancy complications,cardiovascular;
Echocardiography,Doppler,color;
Ventricular function,left;
Logistic models;
Prognosis;
Perinatology
- From:
Chinese Journal of Medical Imaging
2015;(6):435-438
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To analyze the echocardiographic features of peripartum cardiomyopathy (PPCM) using Logistic regression, and to screen the indexes which can be used for the prognosis of PPCM. Materials and Methods Fifty patients who were diagnosed as PPCM by echocardiography were divided into recovered group (30 cases) and non-recovered group (20 cases), all the patients underwent echocardiography, left ventricular end-diastolic diameter (LVEDd) was measured in the parasternal long axis view, left ventricular ejection fraction (LVEF) was measured using Simpson biplane method in the apical four-chamber and two-chamber view to look for the evidence of left ventricular thrombosis, if complicated with pulmonary hypertension, continuous wave Doppler was used for measuring the peak velocity of tricuspid valve regurgitation, and estimating of pulmonary artery systolic pressure, Logistic regression model was established and receiver operating characteristic (ROC) curve was generated to evaluate the prediction value of Logistic regression model. Results Compared with non-recovered group, there was statistically significant difference of LVEDd, LVEF, left ventricular thrombosis, pulmonary hypertension and re-checked LVEF (t= -4.33, 7.64 and 11.54, P<0.05; χ2=10.93 and 4.43, P<0.05) in the first examination, while there was no statistical difference in pericardial effusion, mitral valve regurgitation and tricuspid regurgitation between the two groups (χ2=2.21, 0.67 and 3.46, P>0.05). Three sonographic features LVEDd, LVEF and left ventricular mural thrombus) could be used for the establishment of Logistic model (χ2=5.14, 11.59 and 14.58, P<0.05). The prediction accuracy of the model was 90.0% (45/50, P<0.001) and the area under ROC curve was 0.945±0.030 (P<0.001). Conclusion Logistic regression analysis can be applied for the screening of ultrasound index for PPCM, LVEDD, LVEF and left ventricular wall thrombus can predict the prognosis of PPCM accurately.
