n Cardiovascular Journal of Africa - Electrocardiographic predictors of peripartum cardiomyopathy : cardiovascular topics
|Article Title||Electrocardiographic predictors of peripartum cardiomyopathy : cardiovascular topics|
|© Publisher:||Clinics Cardive Publishing|
|Journal||Cardiovascular Journal of Africa|
|Affiliations||1 Bayero University, Nigeria, 2 Aminu Kano Teaching Hospital, Nigeria, 3 Umea University, Sweden, 4 Umea University, Sweden, 5 Umea University, Sweden, 6 Umea Heart Centre, Sweden and 7 Umea Heart Centre, Sweden|
|Publication Date||Mar 2016|
|Pages||66 - 70|
|Keyword(s)||Electrocardiogram, Peripartum cardiomyopathy, Predictors and Risk score|
Objective: To identify potential electrocardiographic predictors of peripartum cardiomyopathy (PPCM).
Methods: 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.
Results: 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% (p = 0.001), while the presence of ST-T-wave changes increased the odds of PPCM 12.06-fold (p < 0.001). In the patients, QRS duration modestly correlated (r = 0.4; p < 0.003) with left ventricular dimensions and end-systolic volume index, and was responsible for 19.9% of the variability of the latter (R2 = 0.199; p = 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% (p < 0.0001) for potentially predicting PPCM.
Conclusion: In postpartum women, using the risk score could help to streamline the diagnosis of PPCM with significant accuracy, prior to confirmatory investigations.
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