Browsing by Author "OGUNMODEDE, James Ayodele"

Now showing 1 - 5 of 5
  • Item
    Accuracy of The Clinical Diagnosis of Heart Failure Among General Practitioners in a Resource-Constrained Setting.
    (World Heart Federation, 2018) OGUNMODEDE, James Ayodele; Kolo, P.M.; Katibi, I.A.; Adekeye, K.A.; Bojuwoye, M.O.; Omotoso, A.B.; Aderibigbe, A
    Accurate and early diagnosis of Heart failure (HF) is imperative for effective treatment to reduce mortality especially in a resource constrained setting. Very frequently , the first diagnosis and indeed subsequent management of HF is done by general practitioners The objective was to determine the accuracy of the clinical skill of GPS practising in Nigeria in making a correct diagnosis of HF using echocardiography as the gold standard
  • Item
    Changing trend in the incidence of myocardial infarction among medical admissions in Ilorin, north-central Nigeria
    (National Postgraduate Medical College of Nigeria, 2013) KOLO, P.M.; FASAE, A.J.; AIGBE, I.F.; OGUNMODEDE, James Ayodele; OMOTOSO, A.B.
    Aims and objectives: This study aimed at reviewing cases of myocardial infarction managed between January 2006 and June 2009. Materials and Methods: Records of all patients managed for acute MI during the period were studied. Diagnosis was based on presence of ischemic type of chest discomfort, serial electrocardiographic (ECG) changes compatible with MI, a rise in troponin I level and echocardiographic abnormalities. Results: Fourteen patients consisting of 13 (92.9%) males and 1 (7.1%) female had MI. They were all Nigerians, their ages ranged from 40 to 82 years with a mean of 55.6 ±12.7 years; and 85.7% of them belonged to social class 1. MI accounted for 0.21% of the total 6647 admissions during the period. Present hospital incidence (0.21%) is significantly higher (Chi 2 =6.8, p=0.01) than previously reported incidence of 0.075%. Twelve patients had systemic hypertension, 8 had high body mass index, 6 had dyslipidaemia, 5 smoked cigarette and 2 had diabetes mellitus. Three patients died giving a case fatality rate of 21.4% and another 3 developed chronic left ventricular systolic failure. Conclusion: Incidence of MI is increasing among hospital admissions in Ilorin and there is an urgent need for community interventions targeted at early detection and treatment of hypertension, diabetes mellitus, dyslipidaemia and obesity. Campaigns against cigarette smoking should be sustained.
  • Item
    Public knowledge of heart attack symptoms and prevalence of self-reported cardiovascular risk factors in Ilorin, Nigeria.
    (Nigerian Cardiac Society, 2015) Kolo, P.M.`; Sanya, E.O.; Bello, H.S.; Gbadamosi, M.S.; Dele-Ojo, B.F; Katibi, I.A.; Omotoso, A.B.; OGUNMODEDE, James Ayodele
    Background and objectives: Despite reduction in door‑to‑balloon time in the management of acute myocardial infarction (AMI), prehospital delay by the patients has remained a major concern as benefits derivable from reperfusion treatments are time dependent. This study aimed at evaluating knowledge and perception of warning signs of heart attack among civil servants in Ilorin, Nigeria. Materials and Methods: A pretested structured questionnaire was designed to obtain relevant information on knowledge and perception of heart attack symptoms; and action to be taken if one experiences the condition. Results: Questionnaires from 601 subjects consisting of 312 (51.9%) males and 289 (48.1%) females were analyzed. Although, 78% of the respondents have heard about heart attack, only 44.4% could discriminate a heart attack symptom from other conditions. Higher proportion of women (50.2%) than men (39.1%) could identify a core symptom of heart attack (P < 0.05). Similarly, higher percentage of participants 40 years and older (48.3%) were more knowledgeable than those younger than 40 years (42.9%), but the difference was not statistically significant (P > 0.05). Higher percentage of women reported prior cardiovascular disease/risk factors than men. Conclusion: We concluded that participants have low knowledge of heart attack symptoms with women being more knowledgeable than their male counterparts. There is the need for community education on heart attack warning signs and the need for early hospital presentation by affected individuals.
  • Item
    Relationship Between CD4 Count, Neutrophil-To-Lymphocyte Ratio, Platelet-To-Lymphocyte Ratio and Left Ventricular Systolic Function in HIV/AIDS Patients
    (Kenyan Medical Association., 2023) OGUNMODEDE, James Ayodele; Agede, O.A.; Dele-Ojo, B.F; Adeoye, O.G.; Ogunmodede, A.J.; Omotoso, A.B.O
    Background: Inflammation is a cardinal feature of Human Immunodeficiency Virus (HIV) infection and accounts for most of its clinical manifestations. Cardiovascular involvement is common in HIV. Haematologic inflammatory markers such as neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are elevated in some cardiovascular diseases in the non-HIV population. CD4 count correlates with left ventricular size. The relationship between haematologic inflammatory markers NLR and PLR and left ventricular (LV) systolic function and their prognostic value is not well studied in HIV patients. Objective: To determine the relationship between CD4 count, NLR and PLR and LV ejection fraction (EF) and their diagnostic value as surrogates for the occurrence of LV systolic dysfunction (LVSD) Design: Cross-sectional Setting: The Cardiology unit of the University of Ilorin Teaching Hospital (UITH), Ilorin, Nigeria Participants: 150 HIV positive patients Outcome measures: The relationship between CD4 count, NLR and PLR and LV ejection fraction (EF) and their diagnostic value for the occurrence of LV systolic dysfunction (LVSD) esults: The mean age was 37.14+8.6 years, 86 (64%) female, median duration of illness 6(0.94-24) months. NLR and PLR had a negative correlation with LV EF, the CD4 count had positive correlation. On multivariate analysis only PLR was predictive of EF. A cut-off PLR of 169.5 was only weakly discriminatory of LVSD with sensitivity of 81.3% and specificity of 72.9%, AUC 0.794. Conclusion: CD4 count, and inflammatory markers correlate with LVEF in HIV patients. Only PLR was predictive, its value as a diagnostic surrogate for LVSD needs further investigation.
  • Item
    A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
    (SPRINGER, 2022-07-07) MUSA, N; GITAL, A.Y.; ALJOJO, N; CHIROMA, H; ADEWOLE, K.S.; FARUK, N; OGUNMODEDE, James Ayodele; OLOYEDE, A.A.; OLAWOYIN, L.A.
    The success of deep learning over the traditional machine learning techniques in handling artiicial intelligence application tasks such as image processing, computer vision, object detection, speech recognition, medical imaging and so on, has made deep learning the buzz word that dominates Artiicial Intelligence applications. From the last decade, the applications of deep learning in physiological signals such as electrocardiogram (ECG) have attracted a good number of research. However, previous surveys have not been able to provide a systematic comprehensive review including biometric ECG based systems of the applications of deep learning in ECG with respect to domain of applications. To address this gap, we conducted a systematic literature review on the applications of deep learning in ECG including biometric ECG based systems. The study analyzed systematically, 150 primary studies with evidence of the application of deep learning in ECG. The study shows that the applications of deep learning in ECG have been applied in diferent domains. We presented a new taxonomy of the domains of application of the deep learning in ECG. The paper also presented discussions on biometric ECG based systems and meta-data analysis of the studies based on the domain, area, task, deep learning models, dataset sources and preprocessing methods. Challenges and potential research opportunities were highlighted to enable novel research. We believe that this study will be useful to both new researchers and expert researchers who are seeking to add knowledge to the already existing body of knowledge in ECG signal processing using deep learning algorithm.