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1.
J Electrocardiol ; 47(2): 151-4, 2014.
Article in English | MEDLINE | ID: mdl-24360346

ABSTRACT

The purpose of this study was to define criteria suited to automated detection of end QRS notching and slurring and to evaluate their accuracy. One hundred resting 12 lead ECGs from young adult men, split randomly into equal training and test sets, were examined independently by two reviewers for the presence of such notching or slurring. Consensus was reached by re-examination. Logic was added to the Glasgow resting ECG program to automate the detection of the phenomenon. After training, the automated detection had a sensitivity (SE) of 92.1% and a specificity (SP) of 96.6%. For the test set, SE was 90.5%, SP 96.5%. Two populations of healthy subjects--one Caucasian, one Nigerian--were analysed using the automated method. The prevalence of notching/slurring with peak/onset amplitude respectively ≥ 0.1 mV in two contiguous inferolateral leads was 23% and 29% respectively. In conclusion, the detection of end QRS notching or slurring can be automated with a high degree of accuracy.


Subject(s)
Electrocardiography , Heart Conduction System/physiopathology , Black People , Humans , Male , Nigeria/ethnology , Prevalence , Scotland , Sensitivity and Specificity , White People , Young Adult
2.
J Electrocardiol ; 46(4): 289-95, 2013.
Article in English | MEDLINE | ID: mdl-23702151

ABSTRACT

BACKGROUND: There has been no large study of ECG measures derived by automated methods in an apparently healthy indigenous West African population. METHODS: ECGs were recorded from apparently healthy Nigerians and analysed using automated methods. Age and sex based normal ranges were then established. RESULTS: A total of 782 males and 479 females aged between 20 and 87years were studied. Mean QRS duration in males was 87.9±9.4ms and 83.4±7.6ms in females (P<.0001). Mean QTc (Hodges) was 393±16ms in males and 406±16ms in females (P<.0001). The Cornell index (SV3+RaVL) was higher in males and decreased with increasing age in males though the reverse was true in females (P<.0001). STj amplitude was lower in older compared to younger males and higher in males. CONCLUSION: This is the first large study of automated ECG measurements from healthy blacks living in West Africa which allows the determination of ECG normal limits in such a population.


Subject(s)
Diagnosis, Computer-Assisted/statistics & numerical data , Diagnosis, Computer-Assisted/standards , Electrocardiography/statistics & numerical data , Electrocardiography/standards , Heart Conduction System/physiology , Heart Rate/physiology , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Nigeria/epidemiology , Reference Values
3.
Sci Rep ; 13(1): 3244, 2023 02 24.
Article in English | MEDLINE | ID: mdl-36829040

ABSTRACT

Access to Hepatitis B Virus (HBV) testing for people in low-resource settings has long been challenging due to the gold standard, enzyme immunoassay, being prohibitively expensive, and requiring specialised skills and facilities that are not readily available, particularly in remote and isolated laboratories. Routine pathology data in tandem with cutting-edge machine learning shows promising diagnostic potential. In this study, recursive partitioning ("trees") and Support Vector Machines (SVMs) were applied to interrogate patient dataset (n = 916) that comprised results for Hepatitis B Surface Antigen (HBsAg) and routine clinical chemistry and haematology blood tests. These algorithms were used to develop a predictive diagnostic model of HBV infection. Our SVM-based diagnostic model of infection (accuracy = 85.4%, sensitivity = 91%, specificity = 72.6%, precision = 88.2%, F1-score = 0.89, Area Under the Receiver Operating Curve, AUC = 0.90) proved to be highly accurate for discriminating HBsAg positive from negative patients, and thus rivals with immunoassay. Therefore, we propose a predictive model based on routine blood tests as a novel diagnostic for early detection of HBV infection. Early prediction of HBV infection via routine pathology markers and pattern recognition algorithms will offer decision-support to clinicians and enhance early diagnosis, which is critical for optimal clinical management and improved patient outcomes.


Subject(s)
Hepatitis B Surface Antigens , Hepatitis B , Humans , DNA, Viral , Early Diagnosis , Hepatitis B/diagnosis , Hepatitis B virus , Machine Learning , Sensitivity and Specificity
4.
Cardiovasc J Afr ; 34(2): 121-128, 2023.
Article in English | MEDLINE | ID: mdl-37145711

ABSTRACT

The Nigerian Cardiovascular Symposium is an annual conference held in partnership with cardiologists in Nigeria and the diaspora to provide updates in cardiovascular medicine and cardiothoracic surgery with the aim of optimising cardiovascular care for the Nigerian population. This virtual conference (due to the COVID-19 pandemic) has created an opportunity for effective capacity building of the Nigerian cardiology workforce. The objective of the conference was for experts to provide updates on current trends, clinical trials and innovations in heart failure, selected cardiomyopathies such as hypertrophic cardiomyopathy and cardiac amyloidosis, pulmonary hypertension, cardiogenic shock, left ventricular assist devices and heart transplantation. Furthermore, the conference aimed to equip the Nigerian cardiovascular workforce with skills and knowledge to optimise the delivery of effective cardiovascular care, with the hope of curbing 'medical tourism' and the current 'brain drain' in Nigeria. Challenges to optimal cardiovascular care in Nigeria include workforce shortage, limited capacity of intensive care units, and availability of medications. This partnership represents a key first step in addressing these challenges. Future action items include enhanced collaboration between cardiologists in Nigeria and the diaspora, advancing participation and enrollment of African patients in global heart failure clinical trials, and the urgent need to develop heart failure clinical practice guidelines for Nigerian patients.


Subject(s)
COVID-19 , Cardiomyopathies , Heart Failure , Humans , Pandemics , Heart Failure/diagnosis , Heart Failure/therapy , Heart Failure/epidemiology , Heart , Cardiomyopathies/epidemiology
5.
Afr Health Sci ; 22(4): 505-518, 2022 Dec.
Article in English | MEDLINE | ID: mdl-37092039

ABSTRACT

Background: Several observational reports from different parts of the world have shown that systemic hypertension (hypertension) was the single commonest comorbid condition in hospitalized COVID-19 patients. Hypertension is also the most prevalent comorbidity reported among patients who developed severe disease, were admitted to Intensive Care Unit, needed mechanical ventilatory support, or who died on admission. The objective of this systematic review is to study the association between hypertension and specific clinical outcomes of COVID-19 disease which are- development of severe COVID-19 disease, need for admission in the intensive care unit (ICU) or critical care unit (CCU), need for mechanical ventilation or death. Methods: We searched the PubMed, SCOPUS, and Google Scholar databases up till June 28, 2020 for original research articles that documented the risk factors of mortality in patients with COVID-19 using the PRISMA guideline. Results: One hundred and eighty-two articles were identified using pre-specified search criteria, of which 33 met the study inclusion criteria. Only three were prospective studies. Most studies documented hypertension as the most prevalent comorbidity. The association of hypertension with development of severe COVID-19 disease was not conclusive, majority of studies however found an associated with mortality. Conclusion: Hypertension affects the clinical course and outcome of COVID-19 disease in many cohorts. Prospective studies are needed to further understand this relationship.


Subject(s)
COVID-19 , Hypertension , Humans , COVID-19/complications , COVID-19/epidemiology , COVID-19/therapy , SARS-CoV-2 , Prospective Studies , Intensive Care Units , Hypertension/epidemiology
6.
Ethiop J Health Sci ; 29(4): 431-438, 2019 Jul.
Article in English | MEDLINE | ID: mdl-31447515

ABSTRACT

BACKGROUND: Failure to diagnose and adequately classify newly-diagnosed hypertensive patients may lead to non-recognition of White Coat Hypertension (WCH) and inappropriate use of antihypertensive medications. This study determined the prevalence and predictors of white coat hypertension among newly-diagnosed hypertensive patients in a tertiary health centre in Nigeria. METHODS: One hundred and twenty newly-diagnosed hypertensive patients and 120 controls were recruited for the study. All the participants had 24-hour Ambulatory Blood Pressure Monitoring (ABPM) using an oscillometric device (CONTEC®). Data were analyzed using SPSS version 20.0. RESULTS: Out of 120 patients, 52 were males and the mean age was 44.2 ± 9.7 years whereas of the 120 controls, 53 were males and the mean age was 44.0 ± 7.5 years. The mean body mass index of the patients, BMI (27.0 ± 4.5kg/m2) was higher than control (24.1 ± 4.5kg/m2), p-value <0.001. The prevalence of WCH was 36.7%. The mean age and BMI of those with WCH were 43.3 ± 11.4 years and 26.4 ± 4.5kg/m2 respectively. Females constituted a greater proportion (70.5%). In multivariate analysis, high level of education and being overweight or obese were significant determinants of WCH. CONCLUSION: High prevalence of WCH existed among participants studied. High level of education and being obese were predictors of white coat hypertension. Hence, ambulatory blood pressure monitoring should be included as part of routine work-up for newly-diagnosed hypertensive patients in order to limit the number of those who may be committed to lifelong antihypertensive medications with its unwanted side effects.


Subject(s)
Tertiary Care Centers/statistics & numerical data , White Coat Hypertension/epidemiology , Adult , Blood Pressure Monitoring, Ambulatory , Body Mass Index , Female , Humans , Male , Nigeria/epidemiology , Prevalence , White Coat Hypertension/diagnosis , White Coat Hypertension/etiology
7.
Ethiop J Health Sci ; 27(6): 613-620, 2017 Nov.
Article in English | MEDLINE | ID: mdl-29487470

ABSTRACT

BACKGROUND: HAART has improved survival of HIV patients. Its contribution to the development of new cardiovascular abnormalities has generated much interest. This study aimed at determining the prevalence of QTc prolongation among HIV patients and determining the influence if any of the use of HAART on the QTc and on the risk of having QTc prolongation. MATERIALS AND METHODS: One hundred and fifty HIV positive subjects comprising 76 HIV positive subjects on HAART (Group A), 74 who were HAART- naïve (Group B), and 150 age and sex-matched healthy controls (Group C) were studied. All subjects had electrocardiography, and QTc duration was calculated. RESULTS: Mean QTc was significantly different among the three groups (P <0.001), highest in Group B > Group A > Group C. Frequency of QTc prolongation was highest in Group B (32%)>, Group A (17.3%)> Group C (4.7%) (P<0.001). Mean QTc was significantly longer among patients with CD4 count <200 cells/mm3 than among those with >200 cells/mm3 0.445 ± 0.03secs vs 0.421 ± 0.03secs (P<0.001). QTc prolongation was commoner among individuals with CD4 count <200 cells/mm3 50% vs 20.5% (P<0.001). On binary logistic regression, none of the HAART medications used by our patients was predictive of the occurrence of QTc prolongation. CONCLUSION: The QTc is longer, and QTc prolongation occurs more frequently in HAART-naïve HIV patients than patients on HAART and healthy controls. None of the HAART medications used by our patients was predictive of the development of QTc prolongation.


Subject(s)
Anti-HIV Agents , Antiretroviral Therapy, Highly Active , CD4 Lymphocyte Count , Cardiac Conduction System Disease , HIV Infections/drug therapy , Adult , Anti-HIV Agents/adverse effects , Antiretroviral Therapy, Highly Active/adverse effects , Cardiac Conduction System Disease/etiology , Cross-Sectional Studies , Electrocardiography , Female , HIV Infections/virology , Humans , Logistic Models , Male , Middle Aged , Risk Factors
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