Climate change causes changes in biochemical markers of kidney disease.

BACKGROUND: Climate change is a significant threat to the health of the Ghanaian people. Evidence abounds in Ghana that temperatures in all the ecological zones are rising, whereas rainfall levels have been generally reducing and patterns are increasingly becoming erratic. The study estimated the impact of climate variation between seasons on biochemical markers of kidney disease. METHODS: This study conveniently recruited 50 apparently healthy peasant farmers and hawkers at Wa in the Upper West Region of Ghana. A pre-study screening for hepatitis A and C, Diabetes mellitus, hypertension was done. Serum creatinine and urea levels were analyzed to rule out kidney preexisting kidney disease. Baseline data was collected by estimating urea, creatinine, sodium, potassium, eGFR (estimated glomerular filtration rate) as well as for hemoglobin (Hb) and hematocrit (Hct) concentrations. Anthropometric data such as height, weight and blood pressure were measured by trained personnel. The study participants were closely followed and alerted deep in the dry season for the second sampling (urea, creatinine, hemoglobin, hematocrit, blood pressure, anthropometry). RESULTS: This study recruited more males (58.82%) than females (41.15%), majority (52.92%) of which were aged 25-29 years with the youngest being 22 years and the eldest being 35 years. The study found body mass index (p < 0.001), systolic blood pressure (p = 0.019), creatinine (p < 0.001), urea (p = 0.013) and eGFR (p < 0.001) to be significantly influenced by climate change. Stage 1 hypertension was predominant among the study participants during the dry season, 8 (15.69%) than was observed during the rainy season, 4 (7.84%) nonetheless the number of participants with normal BMI rose from 49.02% in the rainy season to 62.75% during the dry reason. Additionally, the study observed that the impact of climate change on systolic blood pressure and urea varied based on age and sex. CONCLUSION: This study revealed that climatic changes cause variations in various biochemical parameters used to assess kidney function. Public health education on climatic changes and its implication including precautionary measures should be done among inhabitants of Wa and its environs to reduce its effect. Additionally, appropriate dietary patterns should also be advised to avoid the development of non-communicable diseases such as hypertension and obesity that are known principal causes of Chronic Kidney Disease (CKD).

Prevalence and Determinants of Intestinal Parasitic Infections among Pregnant Women Receiving Antenatal Care in Kasoa Polyclinic, Ghana.

Background: Intestinal parasitic infections affect pregnant women worldwide. The infection has been implicated in causing life-threatening conditions in both gravid women and their developing foetus. Sub-Saharan Africa is known to harbor the greatest proportion of intestinal parasitic infections largely due to socioeconomic and environmental factors. In Kasoa, Southern Ghana, there is paucity of data on the prevalence and associated factors of intestinal parasitic infections among pregnant women. Objective: The aim of the study was to determine the prevalence of intestinal parasitic infections and associated factors among pregnant women attending antenatal care in Kasoa Polyclinic. Methods: A hospital based analytical cross-sectional study was carried out among three hundred (300) conveniently sampled pregnant women receiving antenatal care services at the Kasoa Polyclinic. Structured questionnaires were administered to the study participants to assess sociodemographic and other possible factors. Stool samples were collected from each pregnant woman and examined for the presence of intestinal parasites by microscopy using direct wet mount as well as formol-ether sedimentation techniques. Results: Overall prevalence of intestinal parasites was 14.3% (95% CI 11-19%). Entamoeba histolytica (5.0%) was the most predominant parasite species identified followed by Ascaris lumbricoides (4.3%), Giardia lamblia (2.3%), Trichuris trichiura (1.3%), Schistosoma mansoni (0.3%), Hookworm (0.3%), Hymenolepis nana (0.3%), and Isospora belli (0.3%). Age > 30 years (AOR = 0.17, 95% CI = 0.06-0.48; p=0.001), multigravidity (AOR = 0.43, 95% CI = 0.19-0.97; p=0.043), and 2nd and 3rd trimesters (AOR = 4.73, 95% CI = 1.36-16.49; p=0.015) were independently associated with intestinal parasitic infections among pregnant women. Conclusions: A prevalence of 14.3% pregnant women compared to previous studies in Ghana is relatively low. It however suggests that intestinal parasitic infection is still a problem. The major factors noted were age, gravidity, and gestational age. Routine stool examination and provision of public health education are recommended to prevent infection of pregnant mothers and their unborn babies.

Inter-rater Variability in Malaria Microscopy at the LEKMA Hospital, Ghana.

BACKGROUND: Malaria remains a major cause of morbidity and mortality worldwide and particularly in sub-Saharan Africa where it is endemic. As such, it is important that a proper diagnosis is made before treatment is initiated. Malaria parasite count plays a key role in the diagnosis and management of malaria. Variations in ratings by laboratory personnel can impact negatively on the treatment regimen for malaria-infected patients. The study is thus aimed at evaluating and comparing the proficiency and parasitaemia counts by two different categories of laboratory staff at the LEKMA Hospital, Ghana. MATERIALS AND METHODS: A total of 200 confirmed malaria-positive samples were used in the study. Six thick and thin films were prepared from each sample and uniquely labelled. Two of the six slides were given to two WHO-accredited malaria microscopists to examine and report their respective parasite count/µl (parasite count/WBC × 8000). These were used as the reference for the two categories of laboratory staffs: rater A being diploma holders (Technical Officers referred to as untrained rater) and rater B being degree holders (Medical Laboratory Scientist referred to as trained rater) at the LEKMA Hospital. RESULTS: In comparison to the expected outcome, the parasite count by the rater group A (190 (151-239)]) and the rater group B (177 (140-224)) demonstrated significant positive correlation (r = 0.995, p < 0.0001 vs. r = 0.995, p < 0.0001, respectively) with the expected outcome in the cases of heavy parasitaemia. A statistically significant difference (p < 0.05) between counts by the different raters in low parasitemia was observed in this study. A persistent nosedive inter-rater agreement from k = 0.82 to k = 0.40 with increasing density cutoff was observed in this study. CONCLUSION: The study observed that the degree of inter-rater agreement of parasite density count by various categories of laboratory personnel is almost perfect. However, the parasite count between raters varied significantly with very low levels of parasitemia but better correlated with heavy parasitemia.

Predicting type 2 diabetes mellitus among fishermen in Cape Coast: a comparison between the FINDRISC score and the metabolic syndrome.

BACKGROUND: Studies over the past decades have observed a sharp rise in the prevalence and incidence of type 2 diabetes mellitus (T2DM). A highly sensitive and specific predictive tool for risky populations is essential. This study assessed two significant diabetes mellitus predictive tools for effectiveness and accuracy among people living in fishing communities in Cape Coast, Ghana. METHOD: In April 2019, we recruited one hundred and thirty-five (135) fishermen from three fishing communities in Cape Coast in the Central Region of Ghana. Each participant underwent a standard metabolic procedure including clinical examination as well as taking of anthropometric variables such as weight, height, waist and hip circumference were also measured. The FINDRISC questionnaire was used to gather data from the respective participants. Serum glucose and lipids were estimated with enzymatic techniques, and metabolic syndrome (MetS) screened with the international diabetes federation (IDF) criteria. RESULTS: Of the 135 participants, 71 (52.6%) were women. The average age of study participants was 52 ± 16 years with females averagely older (56.6 ± 15.0) than the males (47.3 ± 15.0). This study recorded 31.1% and 8.9% prediabetic and diabetic fishermen respectively. Frequency of both prediabetes and diabetes was significantly predominant among females (71.4% vs 83.3%) than males (26.2% vs 25.0%) (p < 0.001) respectively. Prevalence of MetS according to the IDF criteria was 18.5%, significantly higher among females (92.0%) than recorded among the males (18.5%). The discriminatory accuracy of FINDRISC [aROC = 0.76 (95% CI 0.68 to 0.83); sensitivity = 58.3% and specificity = 86.9%; p = 0.003; optimal cut-off point = 13.50] and the MetS [aROC = 0.74 (95% CI 0.66 to 0.81); sensitivity = 75.0% and specificity = 71.5%; p = 0.002] despite demonstrating a significantly good capacity to detect T2DM were statistically comparable [aROC = 0.018 (95% CI -0.152 to 0.189); p = 0.834] in our study. CONCLUSION: Our findings indicate that both FINDRISC (with a suitable cut-off value of 13.5) and MetS screening tools possess a good predictive capacity for the detection of T2DM. Additionally, FINDRISC can be employed to detect MetS in a high-risk population.