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CARDIOVASCULAR JOURNAL OF AFRICA • Volume 27, No 2, March/April 2016

66

AFRICA

Electrocardiographic predictors of peripartum

cardiomyopathy

Kamilu M Karaye, Krister Lindmark, Michael Y Henein

Abstract

Objective:

To identify potential electrocardiographic predic-

tors 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 consecu-

tively 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 scor-

ing 1 for each of the three ECG disturbances (tachycardia,

ST–T-wave abnormalities and QRS duration), had a sensitiv-

ity 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

Keywords:

peripartum cardiomyopathy, electrocardiogram,

predictors, risk score

Submitted 25/1/15, accepted 7/12/15

Cardiovasc J Afr

2016;

27

: 66–70

www.cvja.co.za

DOI: 10.5830/CVJA-2015-092

Although peripartum cardiomyopathy (PPCM) was

first described in 1880, much remains unknown about it.

1,2

Electrocardiography (ECG) is an inexpensive and important

tool for evaluating cardiac electrical function and is widely

available, even in limited-resource settings. A recent study found

the majority (96%) of PPCM patients had ‘abnormal’ 12-lead

ECGs at presentation and highlighted the usefulness of the ECG

in screening and prognosticating patients at risk in resource-poor

settings.

3

To the best of our knowledge, there is a paucity of

ECG data in PPCM, and no data on its use in the diagnosis of

PPCM in women presenting with clinical features of heart failure

towards the end of pregnancy or during the puerperium.

The aim of this study was to determine potential ECG

variables that predict the diagnosis of PPCM. If proved, such

variables could help to streamline the diagnosis of PPCM prior

to confirmatory investigations, particularly in limited-resource

settings.

Methods

This was a case–control study carried out in the Murtala

Mohammed Specialist Hospital (MMSH), Aminu Kano

Teaching Hospital (AKTH), and a private cardiology clinic

in Kano, Nigeria. The research protocol was approved by

the ethics committees of each of the study centres, and the

study conformed to the ethics guidelines of the Declaration of

Helsinki, on the principles for medical research involving human

subjects.

4

The inclusion criteria for the patients were: (1) confirmed

diagnosis of PPCM; (2) onset of symptoms towards the end of

pregnancy or within the puerperium, and presentation to hospital

within nine months postpartum; (3) age of at least 18 years; and

(4) written informed consent. Patients were excluded if: (1) their

symptoms could be explained by diagnoses other than PPCM;

(2) their symptoms started in early pregnancy or after the first

five months postpartum; (3) they were younger than 18 or older

than 45 years; (4) they denied consent to participate.

To be included, the controls had to satisfy the following

criteria: (1) be apparently healthy; (2) no past history of any

cardiac disease or systemic hypertension (except pregnancy-

induced hypertension); (3) normal ECG (except for flat T

waves in leads III or aVF, and inverted T waves in aVR, V1

or V2, which are considered non-specific);

5

(4) present to

the study centres within nine months postpartum for routine

immunisations for their children; and (5) give written informed

consent. Subjects taking drugs known to affect ECG intervals

were excluded from the study.

6

T-wave inversion with or without ST-segment depression were

considered abnormal in all leads except aVR, V1 and V2.

5

In

addition, flat T waves in leads III or aVF were also considered

non-specific.

5

Controls were excluded if: (1) they presented their children for

immunisation after five months postpartum; (2) they presented

to the hospital as patients; (3) they were younger than 18 or older

than 45 years; (4) they were known or found clinically to have

any cardiac disease; (5) they denied consent. The sample size for

Department of Medicine, Bayero University and Aminu

Kano Teaching Hospital, Kano, Nigeria

Kamilu M Karaye, MB BS, DIC, MSc, FWACP, FESC, FACC,

kkaraye@yahoo.co.uk

Department of Public Health and Clinical Medicine, Umea

University, Sweden

Kamilu M Karaye, MB BS, DIC, MSc, FWACP, FESC, FACC

Krister Lindmark, MD, PhD, FACC, FESC

Michael Y Henein, MD, PhD, FACC, FESC

Department of Cardiology, Umea Heart Centre, Umea, Sweden

Krister Lindmark, MD, PhD, FACC, FESC

Michael Y Henein, MD, PhD, FACC, FESC