Evaluation of red blood cell count as an ancillary index to hemoglobin level in defining the severe falciparum malarial anemia among Ghanaian children in low-resource communities

© 2020 The Author(s) Our study evaluated red blood cell count as supporting hematological index to hematocrit level in predicting severe malarial anemia instead of the hemoglobin levels among malaria-infected children in Ghana. This case-control study was conducted at the Komfo Anokye Teaching Hospital (KATH) in Kumasi, Ghana. The study recruited 139 children, of which 45 were Controls (C), 43 with severe malaria (SM), and 51 with mild malaria (MM). Validated questionnaires were administered to obtain the socio-demographic data from each respondent. Venous blood was obtained for parasitemia count and to determine the hematological profile of each participant. With point of observation, data analysis was done. The mean age of the children was 4.22 ± 2.65 years. Median levels of hemoglobin (Hb) decreased in the order; C \u3e MM \u3e SM (P \u3c 0.0001). There was a reduction in median levels of hematocrit (HCT) (P \u3c 0.0001), RBC (red blood cells count) ( \u3c 0.0001), from the MM to the SM. Among patients with severe malaria, there were a positive significant spearmen\u27s co-efficient correlations between median levels of RBC (r = 0.652, P = 0.005) and HB (r = 0.640, P = 0.006) individually against HCT. However among the mild malaria patients only RBC (r = 0.884, P \u3c 0.001) was positively correlated against HCT. At a cut-off of \u3c 4.0×106/uL for RBC and \u3c 8.8 g/dL for Hb, RBC (90.4%) recorded a slightly high accuracy in predicting severe falciparum malarial anemia than Hb (86.9%) among the cases. Red blood cell count may be a promising indicator to support hematocrit ( \u3c 15%) in defining severe malarial anemia than hemoglobin level ( \u3c 5 g/dL) among malaria-infected children from endemic areas in Ghana

Evaluation of individual and combined markers of urine dipstick parameters and total lymphocyte count as a substitute for CD4 count in low-resource communities in Ghana

We evaluated the individual and combined levels of urine dipstick and total lymphocyte count (TLC) as surrogate markers for CD4 count in a low-resource community in Ghana. This cross-sectional study recruited 200 HIV-infected patients from the Saint Francis Xavier Hospital, Assin Fosu, Ghana. Complete blood count, CD4 count, and urine dipstick analysis were measured for participants. The threshold values were determined as

Renal abnormalities among children with sickle cell conditions in highly resource-limited setting in Ghana

Sickle cell disease (SCD) is associated with progressive multi-organ failure especially, the brain and kidney and leads to high morbidity and mortality rate. The aim of this study was to determine the prevalence of renal abnormalities among children with SCD. This cross-sectional study recruited 212 sickling positive patients comprising of 96 Hb AS, 48 Hb SC, and 68 Hb SS phenotypes from the Pediatric Unit of Wassa Akropong Government Hospital, Wassa Akropong, Ghana. Early morning urine and venous blood samples were collected from each participant. Urinalysis was conducted and serum urea and creatinine levels were estimated. Estimate glomerular filtration rate (eGFR) was calculated using the Swartz equation. Classification of chronic kidney disease (CKD) was based on ‘The Kidney Disease: Improving Global Outcomes (KIDIGO)’ criteria. The mean age of the children were 7.90 years. Serum creatinine (p = 0.0310) and urea (p\u3c0.0001) levels were significantly higher among Hb AS participants compared with Hb SS phenotype. The prevalent indicators of renal abnormalities were proteinuria (26.4%), urine granular cast (5.6%) and CKD (39.6%). Proteinuria, urine granular cast and CKD were most prevalent among Hb SS (47.1%, 11.8% and 73.5% respectively) compared with Hb SC (41.7%, 8.3%, and 45.8% respectively) and Hb AS (4.2%, 0.0%, and 14.5%) phenotypes, respectively. Sickle cell conditions were significantly associated with proteinuria (p\u3c0.0001) and CKD (p = 0.0378). Children with Hb SS [aOR = 5.04, 95% CI (2.47–10.3); p\u3c0.0001] and Hb SC [aOR = 3.14 95% CI (1.39–7.01); p = 0.0174] were at increased odds of developing CKD after adjusting for age, BMI and gender. Proteinuria and CKD are associated with sickle cell disease (Hb SC and Hb SS). Renal function should be routinely monitored for children with SCD

Thyroid dysfunction and glycaemic control among Type 2 diabetes mellitus patients in Ghana: A comparative cross-sectional study

Introduction: Thyroid disorders and diabetes mellitus coexist and are prevalent endocrinopathies among adult population. Thyroid dysfunction contributes to metabolic imbalances, increase beta-cell apoptosis and glucose intolerance. There is paucity of data and contradicting findings on how thyroid dysfunction influence glycaemic control. Therefore, we evaluated thyroid dysfunction and glycaemic control among Type 2 diabetes mellitus (T2DM) patients in Ghana. Methods: A comparative cross-sectional study was conducted among 192 T2DM patients from Effia Nkwanta Regional Hospital. Three consecutive monthly fasting plasma glucose (FBG) and glycated haemoglobin (HbA1c) were analysed and the results were classified as, moderate hyperglycaemia (MH) (FBG = 6.1–12.0 mmol/L, HbA1c \u3c 7%), severe hyperglycaemia (SH) (FBG ≥ 12.1 mmol/L, HbA1c \u3e 7%) and good glycaemic controls (GC) (FBG = 4.1–6.0 mmol/L, HbA1c \u3c 7%). Thyroid-stimulating hormone (TSH), free triiodothyronine (FT3) and free thyroxine (FT4), body mass index (BMI) and other clinical parameters were measured. Data analysis was done using R language version 4.0.2 and p \u3c.05 was considered statistically significant. Results: There were no significant differences in age (years) between patients in the various glycaemic groups (p =.9053). The overall prevalence of thyroid disorders was 7.8% among T2DM patients. The prevalence of thyroid disorders was higher in patients with SH (11.7%) followed by those with MH (7.5%) and then those with GC (5.4%). Serum levels of TSH and FT3/FT4 ratio were significantly lower in T2DM patients with SH compared to those with MH and the GC (p \u3c.0001). However, FT4 was significantly higher in SH patients compared to the good glycaemic controls (p \u3c .01). The first tertiles of TSH [aOR = 10.51, 95% CI (4.04–17.36), p \u3c .0001] and FT3 [aOR = 2.77, 95% CI (1.11–6.92), p =.0290] were significantly and independently associated with increased odds of hyperglycaemia. Conclusion: The prevalence of thyroid dysfunction is high in T2DM and increases with hyperglycaemia. Reduced TSH and T3 may worsen glycaemic control. Periodic monitoring of thyroid function should be incorporated into management guidelines among T2DM patients in Ghana

Developing a modified low-density lipoprotein (M-LDL-C) Friedewald’s equation as a substitute for direct LDL-C measure in a Ghanaian population: a comparative study

Despite the availability of several homogenous LDL-C assays, calculated Friedewald\u27s LDL-C equation remains the widely used formula in clinical practice. Several novel formulas developed in different populations have been reported to outperform the Friedewald formula. This study validated the existing LDL-C formulas and derived a modified LDL-C formula specific to a Ghanaian population. In this comparative study, we recruited 1518 participants, derived a new modified Friedewald\u27s LDL-C (M-LDL-C) equation, evaluated LDL-C by Friedewald\u27s formula (F-LDL-C), Martin\u27s formula (N-LDL-C), Anandaraja\u27s formula (A-LDL-C), and compared them to direct measurement of LDL-C (D-LDL-C). The mean D-LDL-C (2.47±0.71 mmol/L) was significantly lower compared to F-LDL-C (2.76±1.05 mmol/L), N-LDL-C (2.74±1.04 mmol/L), A-LDL-C (2.99±1.02 mmol/L), and M-LDL-C (2.97±1.08 mmol/L) p \u3c 0.001. There was a significantly positive correlation between D-LDL-C and A-LDL-C (r=0.658, p\u3c0.0001), N-LDL-C (r=0.693, p\u3c0.0001), and M-LDL-C (r=0.693, p\u3c0.0001). M-LDL-c yielded a better diagnostic performance [(area under the curve (AUC)=0.81; sensitivity (SE) (60%) and specificity (SP) (88%)] followed by N-LDL-C [(AUC=0.81; SE (63%) and SP (85%)], F-LDL-C [(AUC=0.80; SE (63%) and SP (84%)], and A-LDL-C (AUC=0.77; SE (68%) and SP (78%)] using D-LDL-C as gold standard. Bland-Altman plots showed a definite agreement between means and differences of D-LDL-C and the calculated formulas with 95% of values lying within ±0.50 SD limits. The modified LDL-C (M-LDL-C) formula derived by this study yielded a better diagnostic accuracy compared to A-LDL-C and F-LDL-C equations and thus could serve as a substitute for D-LDL-C and F-LDL-C equations in the Ghanaian population

Asymptomatic Bacteriuria and Anti-Microbial Susceptibility Patterns among Women of Reproductive Age. A Cross-Sectional Study in Primary Care, Ghana

Background: Asymptomatic bacteriuria (ASB) poses serious future clinical repercussions for reproductive women. The study determined the prevalence of asymptomatic bacteriuria along with anti-microbial susceptibility patterns among women of reproductive age in a primary care facility. Method: The study recruited a total of 300 women of reproductive age attending the Tetteh Quarshie Memorial Hospital at Akuapem-Mampong, Ghana, between January and March 2018. Questionnaires were administered to obtain demographic data and predisposing risk factors of ASB. An early-morning midstream urine sample was collected from participants. Urinalysis, urine culture, and anti-microbial susceptibility testing were performed. Results: The mean age of participants was 25.43 years. The overall prevalence rate of ASB was 40.3%. The prevalence was higher among pregnant women compared to non-pregnant women (33.3% vs. 7.0%). The most common bacterial isolate was E. coli (47.0%) followed by Proteus spp. (36.4%), Klebsiella spp. (8.3%), and E. faecalis (8.3%). Leukocyturia (35.0%) followed by nitrate (30.0%) were the most common urine abnormalities identified on dipstick urinalysis. Most bacteria isolates showed increased resistance to ampicillin (95.04%) and tetracycline (95.04%) while most of the bacterial isolates were sensitive to levofloxacin (94.35%). Demographic characteristics including age (p < 0.001), educational level (p < 0.001), residency (p = 0.001), and marital status (p = 0.005) were significantly associated with ASB. Lifestyle characteristics such as sexual status (p = 0.001) and frequency of washing of intimate parts after sexual intercourse (p < 0.001) were also significantly associated with ASB. Conclusion: Asymptomatic bacteriuria, particularly E. coli and Proteus spp. are prevalent in the urine of pregnant women living in Akuapem-Mampong municipality. Hence public education along with early screening of ASB is essential to reducing future risk of reproductive health complications. Future studies are required to assess the impact of public health on the rate of bacterial infections

Evaluation of Individual and Combined Markers of Urine Dipstick Parameters and Total Lymphocyte Count as a Substitute for CD4 Count in Low-Resource Communities in Ghana

We evaluated the individual and combined levels of urine dipstick and total lymphocyte count (TLC) as surrogate markers for CD4 count in a low-resource community in Ghana. This cross-sectional study recruited 200 HIV-infected patients from the Saint Francis Xavier Hospital, Assin Fosu, Ghana. Complete blood count, CD4 count, and urine dipstick analysis were measured for participants. The threshold values were determined as <350 cells/μl for CD4, <1200 cells/μl for TLC, and ≥+ on urine dipstick analysis. The mean age of participants was 43.09 years. Proteinuria ≥ + [aOR = 4.30 (3.0–18.5)], leukocyturia ≥ + [aOR = 2.91 (1.33–12.5)], hematuria ≥ + [aOR = 2.30 (1.08–9.64)], and TLC < 1200 cells/μl [aOR = 3.26 (3.94–15.29)] were significantly associated with increased risk of CD4 count < 350 cells/μl. Using the individual markers, the best substitute marker for predicting CD4 count < 350 cells/μl was proteinuria at a cutoff point ≥ 2++, AUC of 0.973, sensitivity of 97.6%, specificity of 100.0%, PPV of 100.0%, and NPV of 89.1%. A combination of ≤ 1200 TLC + ≥ 2++ (leukocyturia + proteinuria + hematuria) yielded an AUC of 0.980, sensitivity (72.8%), specificity (100.0%), PPV (100.0%), and NPV (97.9%). Proteinuria could serve as a noninvasive screening tool, but the combination of proteinuria, leukocyturia, hematuria, and TLC serves as a better substitute marker for CD4 count in monitoring the disease progression among HIV patients in low-resource communities

Evaluation of Metabolic Syndrome and Its Associated Risk Factors in Type 2 Diabetes: A Descriptive Cross-Sectional Study at the Komfo Anokye Teaching Hospital, Kumasi, Ghana

Background. Metabolic syndrome (MS) is a collection of cardiovascular risk factors comprising insulin resistance, dyslipidemia, obesity, and hypertension, which may cause further complications in diabetes. Although metabolic syndrome (MS) is increasing in incidence in diabetics and leading to significant cardiovascular diseases and mortality, there is dearth of data in Ghana. This study investigated metabolic syndrome, its prevalence, and its associated risk factors in type 2 diabetes at the Komfo Anokye Teaching Hospital, Kumasi, Ghana. Methods. The study involved 405 diabetic patients attending the Diabetic Clinic of the Komfo Anokye Teaching Hospital (KATH) Kumasi, in the Ashanti Region of Ghana. A well-structured questionnaire was used to obtain demographic background such as their age and gender. Anthropometric measurements were obtained using the Body Composition Monitor (Omron ® 500, Germany) which generated digital results on a screen and also by manual methods. Fasting venous blood was collected for the measurement of biochemical parameters comprising fasting plasma glucose (FPG), glycated haemoglobin (HbA1c), high density lipoprotein cholesterol (HDL-c), and triglyceride (TG). Metabolic syndrome was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III). Results. Out of the total of 405 participants, 81 were males and 324 were females, and the estimated mean age was 58.5 ± 9.9 years. The female patients exhibited higher mean waist circumference (WC) and mean hip circumference (HC) as well as an approximately higher body mass index than males (28.3 ± 5.1, 26.5 ± 4.2 for the female and male respectively). Overall, the prevalence of metabolic syndrome observed among the study population was 90.6%. Conclusions. The prevalence of metabolic syndrome observed among the study population was 90.6%, with a higher percentage in females than males. High triglyceride levels and high waist circumference were the main risk factors for MS in the diabetic population

Prevalence of metabolic syndrome and the comparison of fasting plasma glucose and HbA1c as the glycemic criterion for MetS definition in non-diabetic population in Ghana

Abstract Background Glycated hemoglobin (HbA1c), owing to its ability to reflect glycemia over a relatively longer time span, is still been investigated as an adjunct test for fasting plasma glucose (FPG) to identify subjects at risk of metabolic syndrome (MetS) in some Caucasian populations. However, whether or not HbA1c can serve as an adjunct to FPG in the definition of MetS in the Ghanaian population remains unknown. This study determined the prevalence of MetS and evaluated HbA1c ≥ 5.6% and FPG ≥ 5.6 mmol/l as the glycemic component of MetS among non-diabetic population in Ghana. Methods This was a case–control study conducted at St Francis Xavier Hospital, Assin Fosu, Central Region, Ghana. A total of 264 non-diabetic Ghanaian adults consisting of 158 newly diagnosed hypertensives and 106 normotensives, were recruited for the study. Fasting plasma insulin and glucose, HbA1c, and lipid profile was performed for each respondent. Results Using the FPG as glycemic criterion, the overall MetS prevalence was 46.6%, 37.1%, and 12.5% according by the IDF, NCEP ATP III, and WHO criteria, respectively. The prevalence of MetS using the HbA1c criterion was 54.2%, 52.7%, and 42.4% by the IDF, NCEP ATP III and WHO criteria, respectively. The HbA1c criterion identified more participants with MetS compared to the FPG criterion with a good agreement between HbA1c and FPG using the IDF and NCEP ATP III criteria (κ = 0.484 to 0.899) respectively. However, the overlap between HbA1c and FPG based diagnosis of MetS was limited for the WHO criterion. Conclusion The prevalence of metabolic syndrome is high among non-diabetics in Ghana. Introduction of HbA1c in addition to FPG in the screening of MetS improves identification of more people with MetS who would otherwise have been missed when only FPG-based diagnosis of MetS is used; with a substantial agreement with FPG, except when using the WHO criteria