Browsing by Author "P. O. Omosigho"

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    Blood Group, Genotype, Malaria, Blood Pressure and Blood Glucose Screening Among Selected Adults of a Community in Kwara State: Implications to Public Health
    (Asian Hematology Research Journal, 2022-06) A. F. Anyiam; O. C. Arinze-Anyiam; P. O. Omosigho; Ibrahim Munirudeen; E. A. Irondi; Emmanuel Ifeanyi Obeagu; E. Obi
    Abstract Background and Objective: Blood groups and Haemoglobin variants vary widely. The malaria scourge is a major setback in Africa. Due to ageing, adults are prone to non-communicable diseases like hypertension. This research was carried out to determine the ABO, Rhesus blood groups and Haemoglobin variants among young people, and to carry out malaria, blood pressure and blood glucose screening among the elderly in Osi Community, Ekiti Local Government Area, Kwara State. Materials and Methods: An empirical research design was done in Osi Community from June 2021 to August 2021. A total of 84 elderly subjects (46 females and 38 males), and 90 young subjects (51 females and 39 males) were selected by purposive sampling. ABO and Rhesus groups were determined using tiles. Haemoglobin variants were determined using alkaline electrophoresis. Malaria screening was done using rapid diagnostic kits. Blood pressure was measured using arm blood pressure monitor. Blood glucose was measured using glucometer. Results: Elderly males mean age was 66.58±10.97 years compared to 62.07±11.74 years for females (p=0.075). Elderly males blood glucose was 112.71±21.85 mg/dl and 105.09±38.46 mg/dl for females (p=0.281). Systolic blood pressureamong elderly males was 147.89±24.45 mmHg and 150.07±22.88 mmHg for females (p=0.676). Diastolic blood pressure among elderly males was 86.61±15.07 mmHg and 86.41±11.12 mmHg for females (p= 0.947). ABO and Rhesus blood group number and percentages among young people were: blood group A 28 (31.1%), B 18 (20.0%), AB 4 (4.4%), O 40 (44.4%), while Rhesus D positive subjects were 87 (96.7%), and Rhesus D negative subjects were 3 (3.3%). Haemoglobin genotype distribution was: AA 66 (73.3%), AS 24 (26.7%), SS 0 (0.0%). Conclusion: The risk of getting heart-related illnesses increases with age. Knowledge of ABO, Rhesus blood groups and haemoglobin genotype variants is vital in healthcare management, medical diagnosis and genetic counselling.
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    Molecular Epidemiology of Mycobacterium tuberculosis among Pulmonary Tuberculosis Patients in Ilorin, Nigeria
    (Scientific Research Publishing Inc. Health, https://www.scirp.org/journal/health, 2020-07-22) O. A. Olalubi; P. O. Omosigho; A. O. Sodipe; A. I. Lukman
    Background: Tuberculosis (TB) is an infectious disease, and it is a public health concern due to the endemic nature of the disease. Nigeria’s health systems still rely heavily on outdated tuberculosis diagnostic tests, including sputum smear microscopy and chest radiography. This necessitated the urgent need to explore a more reliable, effective method that can rapidly enhance the simultaneous detection of Mycobacterium tuberculosis (MTB) and rifampicin (RIF) resistance. Aims: We evaluated the prevalence of MTB and rifampicin resistance and the influence of socio-demographic factors. Methods: A longitudinal, descriptive study that employs the Xpert MTB/RIF automated molecular method for rapid detection of rifampicin resistance. Secondary data were collected from the medical record from March 2017 to December 2018. Primary data were collected by direct clinical observations and analysis with a gene expert machine from January 2019 to March 2019. Results: Study populations were 1893 sub￾jects pooled as secondary data at the Gene Expert laboratory, with a mean age of 44.92 years and were categorized based on sex, 1125 (59.4%) males and 768 (40.6%) females respectively. The MTB detected were 117 (15.7%) for males while 76 (9.9%) were positive for females. 948 (84.3%) were negative for males and 692 (90.1%) negative for females. Also, the categories for age were grouped into three but the older age groups (29 - 54) and (55 - 80) were more vulnerable to MTB having a p = 0.506 which is statistically non-significant. only 14 (5.5%) have RIF while 239 (94.5%) do not have RIF resistance strains. Logistic regression analysis of MTB detected showed a significant association (p < 0.05) for sex and a non-significant association (p > 0.05) for age. The prevalence rate for RIF Resistance is 5.53%, there is a statistical difference p = 0.001 between RIF Resistance and MTB in Ilorin. Conclusion: The utilization of validated molecular techniques for MTB strain identification has shown a stronger epidemiological impetus for an improved care management outcome specifically in resource-limited areas.