umu.sePublications
Change search
ReferencesLink to record
Permanent link

Direct link
Electrocardiographic predictors of peripartum cardiomyopathy
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine. Department of Medicine, Bayero University and Aminu Kano Teaching Hospital, Kano, Nigeria.
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Cardiology.
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Cardiology.
2016 (English)In: Cardiovascular Journal of Africa, ISSN 1995-1892, Vol. 27, no 2, 66-70 p.Article in journal (Refereed) PublishedText
Abstract [en]

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 (R-2 = 0.199; p = 0.003), A risk score of >= 2, developed by scoring I 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.

Place, publisher, year, edition, pages
2016. Vol. 27, no 2, 66-70 p.
Keyword [en]
peripartum cardiomyopathy, electrocardiogram, predictors, risk score
National Category
Cardiac and Cardiovascular Systems
Identifiers
URN: urn:nbn:se:umu:diva-122582DOI: 10.5830/CVJA-2015-092ISI: 000376590700003PubMedID: 27213852OAI: oai:DiVA.org:umu-122582DiVA: diva2:939935
Available from: 2016-06-20 Created: 2016-06-20 Last updated: 2016-06-20Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Karaye, Kamilu M.Lindmark, KristerHenein, Michael Y.
By organisation
Department of Public Health and Clinical MedicineCardiology
In the same journal
Cardiovascular Journal of Africa
Cardiac and Cardiovascular Systems

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 2 hits
ReferencesLink to record
Permanent link

Direct link