17 research outputs found

    Anaemia in pregnant adolescent girls with malaria and practicing pica

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    Introduction: pregnancy during the adolescent period is challenging mainly because of the nutritional demands of both the adolescent and pregnancy period. The risk for anaemia increases especially in developing countries such as Ghana where malaria is endemic and the practice of pica is common. In this study, we sought to determine the prevalence of anaemia, pica practice and malaria infection among pregnant adolescent girls and assess the extent to which these factors are associated. Methods: two hundred and sixty five (265) pregnant adolescent girls were recruited from three hospitals in Accra. Haemoglobin levels, malaria infection and the practice of pica were assessed. Pearson’s Chi squared tests were used to determine associations and logistic regression analysis was used to determine the odds of being anaemic. Significance was set at p≤0.05. Results: anaemia prevalence was 76% with severity ranging from mild (47.8%) to severe (0.8%). About 27.5% were moderately anaemic. Pica was practiced in only 9.1% of the girls. Malaria infection was prevalent in 17.7% of the girls. The logistic regression analysis indicated that pregnant girls with malaria infection were 3.56 times more likely to be anaemic when compared to those without malaria. Also, those who practiced pica were 1.23 times more likely to be anaemic when compared to those who did not practice pica. Conclusion: anaemia is very prevalent in pregnant adolescent  girls and is a public health problem. Drastic measures should be taken to reduce the high prevalence.The Pan African Medical Journal 2016;2

    Cross-sectional study of association between psychosocial stressors with chronic kidney disease among migrant and non-migrant Ghanaians living in Europe and Ghana: the RODAM study.

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    OBJECTIVES: The association between psychosocial stressors (PS) and chronic kidney disease (CKD) among sub-Saharan African (SSA) populations is unknown. We examined the association between PS and CKD prevalence among rural and urban Ghanaians and Ghanaian migrants living in three European cities. We also assessed if the influence of PS on CKD is partially mediated by primary risk factors (hypertension and diabetes) of CKD. DESIGN: A multi-centred cross sectional data from the Research on Obesity and Diabetes among African Migrants study. SETTING: Rural and urban Ghana and three European cities (Amsterdam, Berlin and London). PARTICIPANTS: A random sample of 5659 adults (Europe 3167, rural Ghana 1043 and urban Ghana 1449) aged 25-70 years. EXPLANATORY MEASURES: PS defined by negative life events, perceived discrimination, perceived stress at work/home and depressive symptoms. Three CKD outcomes were considered using the 2012 Kidney Disease: Improving Global Outcomes severity of CKD classification. Comparisons between PS and CKD outcomes were made using logistic regression analyses across all sites. RESULTS: We observed higher proportion of negative life events (68.7%) and perceived permanent stress (15.9%) among Ghanaians living in Ghana than Ghanaians living in Europe. Depressive symptoms (7.5%) and perceived discrimination (29.7%) were more common among Ghanaians living in Europe than Ghanaians living in Ghana. No significant association was observed between any of the PS constructs and CKD outcomes across sites except for positive association between stress at work/home and albuminuria (2.81, 95% CI 1.46 to 5.40) and CKD risk (2.78, 95% CI 1.43 to 5.43) among Ghanaians living in Berlin. CONCLUSION: Our study found a positive association between stress at work/home and albuminuria and CKD risk. There was no convincing evidence of associations between the other PS constructs and the prevalence of CKD risk. Further studies are needed to identify potential factors driving the high prevalence of CKD among these populations

    Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study

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    Background: Identification of convulsive epilepsy in sub-Saharan Africa relies on access to resources that are often unavailable. Infrastructure and resource requirements can further complicate case verification. Using machine-learning techniques, we have developed and tested a region-specific questionnaire panel and predictive model to identify people who have had a convulsive seizure. These findings have been implemented into a free app for health-care workers in Kenya, Uganda, Ghana, Tanzania, and South Africa. Methods: In this retrospective case-control study, we used data from the Studies of the Epidemiology of Epilepsy in Demographic Sites in Kenya, Uganda, Ghana, Tanzania, and South Africa. We randomly split these individuals using a 7:3 ratio into a training dataset and a validation dataset. We used information gain and correlation-based feature selection to identify eight binary features to predict convulsive seizures. We then assessed several machine-learning algorithms to create a multivariate prediction model. We validated the best-performing model with the internal dataset and a prospectively collected external-validation dataset. We additionally evaluated a leave-one-site-out model (LOSO), in which the model was trained on data from all sites except one that, in turn, formed the validation dataset. We used these features to develop a questionnaire-based predictive panel that we implemented into a multilingual app (the Epilepsy Diagnostic Companion) for health-care workers in each geographical region. Findings: We analysed epilepsy-specific data from 4097 people, of whom 1985 (48·5%) had convulsive epilepsy, and 2112 were controls. From 170 clinical variables, we initially identified 20 candidate predictor features. Eight features were removed, six because of negligible information gain and two following review by a panel of qualified neurologists. Correlation-based feature selection identified eight variables that demonstrated predictive value; all were associated with an increased risk of an epileptic convulsion except one. The logistic regression, support vector, and naive Bayes models performed similarly, outperforming the decision-tree model. We chose the logistic regression model for its interpretability and implementability. The area under the receiver operator curve (AUC) was 0·92 (95% CI 0·91–0·94, sensitivity 85·0%, specificity 93·7%) in the internal-validation dataset and 0·95 (0·92–0·98, sensitivity 97·5%, specificity 82·4%) in the external-validation dataset. Similar results were observed for the LOSO model (AUC 0·94, 0·93–0·96, sensitivity 88·2%, specificity 95·3%). Interpretation: On the basis of these findings, we developed the Epilepsy Diagnostic Companion as a predictive model and app offering a validated culture-specific and region-specific solution to confirm the diagnosis of a convulsive epileptic seizure in people with suspected epilepsy. The questionnaire panel is simple and accessible for health-care workers without specialist knowledge to administer. This tool can be iteratively updated and could lead to earlier, more accurate diagnosis of seizures and improve care for people with epilepsy

    Contribution of diabetes to amputations in sub-Sahara Africa: A systematic review and meta-analysis

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    Diabetes related amputations remain a major global problem, with devastating complications. We critically appraised relevant literature to quantify the prevalence of diabetes related amputations in sub-Saharan Africa (SSA). An electronic search was performed using the EMBASE and PubMed databases until 2020. Twenty-four out of 834 studies retrieved were included. The pooled prevalence of diabetic-related amputations was 36.9% (95%CI: 32.9%–40.8%). Complications of diabetes related amputations included infection, anaemia, foot deformity and mortality. The study revealed a substantial contribution of diabetes to the burden of amputations in SSA and suggests the need for further studies to assess how to reduce the incidence of diabetes, reduce the incidence of and or delay the progression of macro and microvascular complications of diabetes in SSA

    Thyroid hormone status in Ghanaian patients with chronic kidney disease

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    Introduction: There is limited data on the prevalence of thyroid dysfunction in Ghanaian individuals with chronic kidney disease (CKD). Studies exploring the effect of thyroid hormones on renal function decline are also scanty. Unrecognized thyroid dysfunction in CKD may increase the burden of adverse health outcomes. The aim of this study was to determine thyroid hormone status and lipid profiles in patients with CKD attending the Renal Unit of the Korle-Bu Teaching Hospital. Methods: 60 clinically euthyroid patients with CKD, and 65 clinically euthyroid subjects without CKD were recruited for this study. Estimation of effective glomerular filtration rate (eGFR) was done using the 4-variable Modification of Diet in Renal Disease (MDRD) formula with subsequent staging of CKD (stages 2-4). Collected venous blood samples from all study participants were analyzed for creatinine, free triiodothyronine (FT3), free thyroxine (FT4), thyroid stimulating hormone (TSH), total cholesterol (TC), high density lipoprotein (HDL) cholesterol, low density lipoprotein (LDL) and triglycerides (TG). Results: Levels of TC, HDL, LDL, and TSH levels did not differ significantly between the two study groups. However, TG, VLDL, FT3 and FT4 levels were significantly higher in CKD patients than in the control group. TC, TG, HDL, LDL, VLDL and TSH levels were not significantly different between stages of CKD in study subjects, although FT4 and FT3 levels were significantly different between all stages of CKD. Conclusion: Higher levels of FT3 and FT4 but not TSH, are associated with the incidence of CKD and eGFR decline in Ghanaian CKD patients

    Characterization of Campylobacter associated gastric enteritis among patients with Human Immunodeficiency Virus (HIV) in a hospital in Accra, Ghana.

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    BackgroundCampylobacter infections in HIV positive patients often present with substantial mortality and morbidity when compared to HIV negative patients.AimThis study assessed the prevalence of Campylobacter, antibiotic resistance phenotypes and genetic factors, and risk of Campylobacter infection associated with living in close proximity to domestic animals in HIV patients with gastric enteritis at Korle-Bu Teaching Hospital, Accra, Ghana.MethodsResistance to different antibiotics was assessed with Kirby-Bauer disk diffusion method. In addition, all the Campylobacter isolates were tested for ampicillin (blaOXA-61), erythromycin (aph-3-1), tetracycline tet(O), streptomycin (aadE), and the energy-dependent multi-drug efflux pump (cmeB) resistance genes using multiplex polymerase chain reaction.ResultsOut of a total of 140 (97 females and 43 males) tested patients, 71 (50.7%) patients were positive for Campylobacter coli. Female patients aged within 31-40 years (31.6%) and 41-50 years (31.6%) had high frequency of Campylobacter infection. Most of the infected patients lived in close proximity to chickens (53.5%), however, some patients (14.1%) lived in close proximity to goats. Phenotypic resistance evaluation revealed widespread resistance to ampicillin (100%), tetracycline (100%), ciprofloxacin (71.8%), erythromycin (69%), and gentamicin (49.3%). However, limited no of isolates contained blaOXA-61 (1.41%), cmeB (7.0%) and tet(O (7.0%) resistance genes.ConclusionHIV patients with gastric enteritis were infected with resistant Campylobacter coli. Further studies are required to examine correlation of infected patients with C. coli and risk of living in close proximity to poultry birds. There is the need for routine investigation of Campylobacter in patients with gastroenteritis in order to assist in the development of strategies for combating diseases involving resistant zoonotic bacteria strains

    Escherichia coli bacteriuria in pregnant women in Ghana: antibiotic resistance patterns and virulence factors

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    Abstract Objectives The relevance of Escherichia coli associated bacteriuria infection in pregnant women is poorly understood, despite these strains sharing a similar virulence profile with other pathogenic E. coli causing severe obstetric and neonatal infections. We characterized and determined the antimicrobial susceptibility, resistance genes and virulence profiles of 82 E. coli isolates associated with asymptomatic bacteriuria in some pregnant in Ghana from February to August 2016 using Kirby–Bauer disc diffusion and polymerase chain reaction. Results High levels of antimicrobial resistance were observed to ampicillin (79.3%), tetracycline (70.7%) and cotrimoxazole (59.8%), except for cefuroxime (32.9%). Resistance genes analyses revealed 58.5% were positive for Bla TEM and 7.3% for aph(3)-Ia(aphA2). Virulence factors (VFs) was more widespread in pregnant women in the 2nd and 3rd trimesters than 1st trimester. VFs relating to adhesion (papC and iha), Protectins (traT), aerobactin acquisition (iutA) and iron acquisition systems (fyuA and irp2) were more prevalent in the resistant E. coli isolates. This study provides evidence for a link in bacteriuria and transmission of extra-intestinal E. coli in pregnant women to cause multi-resistant obstetric or neonatal infections. Considering the involvement of extra-intestinal E. coli in infections, results are helpful to develop strategies to prevent maternal and/ neonatal infections

    Correction to: Escherichia coli bacteriuria in pregnant women in Ghana: antibiotic resistance patterns and virulence factors

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    Following publication of the original article [1], the authors reported that one of the authors’ names was spelled incorrectly. In this Correction the incorrect and correct author name are shown. The original publication of this article has been corrected

    Giardia lamblia infections in children in Ghana

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    Introduction: though giardiasis is an important public health problem in Ghana, several aspects of its epidemiology, particularly the molecular epidemiology has not been investigated adequately. This could be a major hindrance to effective surveillance and control of giardiasis in the country. The study was carried out to determine the prevalence, risk factors and genotypes of Giardia lamblia infecting children at a paediatric hospital in Ghana. Methods: a total of 485 patients including 365 diarrhoea and 120 non-diarrhoea children were enrolled into the study. Stool samples were collected and analysed for parasite presence using microscopy, ELISA and PCR. Positive samples were subsequently characterized into assemblages by PCR-RFLP, and further confirmed with sequencing of the glutamate dehydrogenase (gdh) gene. Epidemiological data on demographic, clinical and behavioral features of the study subjects were also collected. Results: prevalence of G. lamblia infections in diarrhea and non-diarrhea children were 5.8% and 5% respectively (P>0.5). Sequence data confirmed Giardia lamblia assemblage B as the predominant genotype in both diarrhoea and non-diarrhoea cases. There was no significant association of G. lamblia infection with any of the epidemiological variables investigated. Conclusion: our findings suggest that assemblage B could be the predominant genotype causing giardiasis in children. Increased public health education focusing on good sanitary practices, particularly among mothers and children, could decrease the risk of G. lamblia infection.The Pan African Medical Journal 2016;2
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