n Cardiovascular Journal of Africa - Electrocardiographic predictors of peripartum cardiomyopathy : cardiovascular topics

Volume 27 Number 2
  • ISSN : 1995-1892
  • E-ISSN: 1680-0745



To identify potential electrocardiographic predictors of peripartum cardiomyopathy (PPCM).

This was a case-control study carried out in three hospitals in Kano, Nigeria. Logistic regression models and a risk score were developed to determine electrocardiographic predictors of PPCM.
A total of 54 PPCM and 77 controls were consecutively recruited after satisfying the inclusion criteria. After controlling for confounding variables, a rise in heart rate of one beat/minute increased the risk of PPCM by 6.4% ( = 0.001), while the presence of ST-T-wave changes increased the odds of PPCM 12.06-fold ( < 0.001). In the patients, QRS duration modestly correlated ( = 0.4; < 0.003) with left ventricular dimensions and end-systolic volume index, and was responsible for 19.9% of the variability of the latter (2 = 0.199; = 0.003). A risk score of ≥ 2, developed by scoring 1 for each of the three ECG disturbances (tachycardia, ST-T-wave abnormalities and QRS duration), had a sensitivity of 85.2%, specificity of 64.9%, negative predictive value of 86.2% and area under the curve of 83.8% ( < 0.0001) for potentially predicting PPCM.
In postpartum women, using the risk score could help to streamline the diagnosis of PPCM with significant accuracy, prior to confirmatory investigations.

Loading full text...

Full text loading...


Article metrics loading...


This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error