Evidence map›Paper›PMID 33299780›Full record

ArticleJournal of the Saudi Heart Association2020

Development and Validation of a Electrocardiographic Diagnostic Score of Heart Failure Among Patients with Hypertension Attending a Tertiary Hospital in Ibadan, Nigeria: The RISK-HHF Case-Control Study.

Ayodipupo S Oguntade, IkeOluwapo O Ajayi, Akinyemi Aje, Adewole A Adebiyi, Okechukwu S Ogah, Abiodun M Adeoye

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Article in Journal of the Saudi Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Ayodipupo S OguntadeDepartment of Medicine, University College Hospital, Ibadan, Nigeria.
IkeOluwapo O AjayiDepartment of Epidemiology and Medical Statistics, University of Ibadan, Nigeria.
Akinyemi AjeDepartment of Medicine, University College Hospital, Ibadan, Nigeria.
Adewole A AdebiyiDepartment of Medicine, University College Hospital, Ibadan, Nigeria.
Okechukwu S OgahDepartment of Medicine, University College Hospital, Ibadan, Nigeria.
Abiodun M AdeoyeDepartment of Medicine, University College Hospital, Ibadan, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHypertension is the leading cause of HF in sub-Saharan Africa. Electrocardiography (ECG) is a cheap and easily available stratification tool for the diagnosis and prognostication of individuals with hypertension. The aim of this study was to develop an ECG-based HF diagnostic score among patients with hypertension attending a specialist cardiology clinic.

methodsOne hundred and one (101) case-control age- and sex-matched pairs were recruited. The study population were adults with a clinical diagnosis of hypertensive HF failure (cases) and systemic hypertension without HF (controls). Participants underwent clinical assessment and ECG. Associations between ECG variables and HF risk were tested with chi square test. Logistic regression modelling (age- and sex adjusted) was trained on a random subset of participants and tested on the remaining participants to determine the ECG abnormalities that are diagnostic of HF and develop a HF diagnostic score. The HF diagnostic score was then validated in an independent dataset of the ECG-Hypertension Audit. Goodness of fit and c-statistics of the HF summed diagnostic score in the training, testing and validation datasets are presented. A two-sided p value of <0.05 was considered statistically significant.

resultsThe independent ECG diagnostic markers of HF among hypertensive patients in this study in decreasing order of effect size were sinus tachycardia (aOR: 7.72, 95% CI: 2.31-25.85). arrhythmia (aOR: 7.14, 95% CI: 2.57-19.86), left ventricular hypertrophy (aOR: 4.47; 1.85-10.77) and conduction abnormality (aOR: 3.41, 95% CI: 1.21-9.65). The HF summed diagnostic score showed excellent calibration and discrimination in the training (Hosmer Lemeshow p = 0.90; c-statistic 0.82; 95% CI 0.76-0.89) and test samples (Hosmer Lemeshow p=0.31; c-statistic 0.73 95% CI 0.60 to 0.87) of the derivation cohort and an independent validation audit cohort (Hosmer Lemeshow p = 0.17; c-statistic 0.79 95% CI 0.74 to 0.84) respectively. The model showed high diagnostic accuracy in individuals with different intermediate pre-test probabilities of HF.

conclusionsA ECG based HF score consisting of sinus tachycardia, arrhythmia, conduction abnormality and left ventricular hypertrophy is diagnostic of HF especially in those with intermediate pre-test probability of HF. This has clinical importance in the stratification of individuals with systemic hypertension.

Indexed as

ArrhythmiaConduction abnormalitiesHypertensive HFLeft ventricular hypertrophySinus tachycardia

Identifiers

PMID33299780
PMCPMC7721454

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