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
| Autor: | Akinyemi Aje, Adewole A Adebiyi, IkeOluwapo O. Ajayi, Okechukwu S Ogah, Abiodun M. Adeoye, Ayodipupo S Oguntade |
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| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Sinus tachycardia 030204 cardiovascular system & hematology Logistic regression Left ventricular hypertrophy 03 medical and health sciences Hosmer–Lemeshow test 0302 clinical medicine Hypertensive HF Internal medicine medicine Chi-square test 030212 general & internal medicine medicine.diagnostic_test business.industry medicine.disease Heart failure Cohort Original Article Conduction abnormalities medicine.symptom Cardiology and Cardiovascular Medicine business Electrocardiography Arrhythmia |
| Zdroj: | Journal of the Saudi Heart Association |
| ISSN: | 2212-5043 |
| Popis: | Objectives Hypertension 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. Methods One 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 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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