Association between serum vitamin D status and severity of liver cirrhosis: implications for therapeutic targeting in Nigerian patients.

BACKGROUND: Liver cirrhosis is a chronic and progressive liver disease with significant global health implications. Recent evidence suggests an association between serum vitamin D levels and the severity of liver cirrhosis, potentially serving as a therapeutic target. This study aimed to investigate the relationship between serum vitamin D status and the severity of liver cirrhosis in a population of Nigerian patients. METHODS: This analytical, cross-sectional study involved 201 participants, including 103 with liver cirrhosis and 98 age- and sex-matched controls. Serum vitamin D was measured using ELISA, with deficiency defined as < 20 ng/ml. Cirrhosis severity was assessed using Child-Pugh and MELD scores. Spearman's correlation was used to assess the relationship between vitamin D and severity of liver cirrhosis while ordinal regression analysis assessed its performance as an indicator of the disease severity. RESULT: Among cirrhotic patients, 36.9% were deficient, 31.1% insufficient, and 32.0% had sufficient vitamin D levels. Serum vitamin D showed strong negative correlations with Child-Pugh and MELD scores (r = -0.696, p < 0.001; r = -0.734, p < 0.001, respectively). Ordinal regression showed that higher vitamin D levels were associated with lower severity scores (Child-Pugh: OR = 0.856, 95% CI: 0.815-0.900, p < 0.001; MELD: OR = 0.875, 95% CI: 0.837-0.915, p < 0.001). CONCLUSION: Lower serum vitamin D levels correlated with increased liver cirrhosis severity, suggesting its potential as both a prognostic marker and therapeutic target. Further studies should investigate the efficacy of vitamin D supplementation in improving cirrhosis outcomes.

A first trimester prediction model and nomogram for gestational diabetes mellitus based on maternal clinical risk factors in a resource-poor setting.

BACKGROUND: The implementation of universal screening for Gestational Diabetes Mellitus (GDM) is challenged by several factors key amongst which is limited resources, hence the continued reliance on risk factor-based screening. Effective identification of high-risk women early in pregnancy may enable preventive intervention. This study aimed at developing a GDM prediction model based on maternal clinical risk factors that are easily assessable in the first trimester of pregnancy in a population of Nigerian women. METHODS: This was a multi-hospital prospective observational cohort study of 253 consecutively selected pregnant women from which maternal clinical data was collected at 8-12 weeks gestational age. Diagnosis of GDM was made via a one-step 75-gram Oral Glucose Tolerance Test (OGTT) at 24-28 weeks of gestation. A GDM prediction model and nomogram based on selected maternal clinical risk factors was developed using multiple logistic regression analysis, and its performance was assessed by Receiver Operator Curve (ROC) analysis. Data analysis was carried out using Statistical Package for Social Sciences (SPSS) version 25 and Python programming language (version 3.0). RESULTS: Increasing maternal age, higher body mass index (BMI), a family history of diabetes mellitus in first-degree relative and previous history of foetal macrosomia were the major predictors of GDM. The model equation was: LogitP = 6.358 - 0.066 × Age - 0.075 × First trimester BMI - 1.879 × First-degree relative with diabetes mellitus - 0.522 × History of foetal macrosomia. It had an area under the receiver operator characteristic (ROC) curve (AUC) of 0.814 (95% CI: 0.751-0.877; p-value < 0.001), and at a predicted probability threshold of 0.745, it had a sensitivity of 79.2% and specificity of 74.5%. CONCLUSION: This first trimester prediction model reliably identifies women at high risk for GDM development in the first trimester, and the nomogram enhances its practical applicability, contributing to improved clinical outcomes in the study population.

Prevalence and Pattern of Gestational Thyroid Dysfunction in a Population of South-East Nigerian Women.

Background: Pregnancy serves as a physiological stress test for the thyroid which often leads to dysfunction in women with limited thyroid reserves. The occurrence of gestational thyroid dysfunction is linked to unfavourable obstetric and foetal outcomes. Globally, iodine deficiency is a prominent causative factor for thyroid dysfunction. The study aimed to determine the prevalence and pattern of thyroid dysfunction among pregnant women in Enugu, South-east Nigeria. Methodology: This hospital-based descriptive cross-sectional and observational study was conducted over six months on selected participants from pregnant women attending antenatal clinics at the study sites. Maternal clinical and demographic risk factors for thyroid dysfunction were evaluated in a cohort of 318 pregnant women. An analysis of variance (ANOVA) was performed to compare participants' thyroid status across different trimesters of pregnancy, and different thyroid and nutritional iodine states. Results: The prevalence of thyroid dysfunction in the study population is 6.6%. Hypothyroidism was detected in 5.3% of the participants, consisting of 3.8% sub-clinical hypothyroidism and 1.6% overt hypothyroidism. Sub-clinical hyperthyroidism accounted for 1.3% of all participants; no overt hyperthyroidism was detected in this study. Conclusion: There is a relatively high prevalence of gestational thyroid dysfunction in the study population with hypothyroidism being the predominant disorder. This highlights the need for region-specific considerations in antenatal care to facilitate early detection and effective management of gestational thyroid dysfunction, thereby mitigating potential adverse maternal and foetal outcomes.

Serum Brain Natriuretic Peptide Levels Correlate with the Severity of Hypertension in a Population of Nigerian Patients.

Background: Hypertension is a major global health concern requiring precise risk assessment. Brain Natriuretic Peptide (BNP) has emerged as a potential biomarker, but its relationship with hypertension severity requires exploration to evaluate its potential as a risk prediction tool. This study aimed to assess the relationship between serum BNP levels and the severity of hypertension in a population of Nigerian patients. Methodology: This was an analytical cross-sectional case-controlled study involving 103 hypertensive patients and 98 controls. Participants were grouped based on World Health Organization (WHO) criteria for diagnosis of Hypertension and the severity of hypertension was categorized based on blood pressure readings. The mean BNP levels were assessed among different hypertension grades, while logistic regression was used to assess the odds of higher severity with elevated BNP. Results: Serum BNP levels were significantly higher in hypertensive individuals (616.5 ± 66.3 pg/mL) compared to controls (501.1 ± 84.6 pg/mL) and varied significantly across different hypertension grades (p = 0.000). A positive correlation was observed between serum BNP and hypertension severity (r = 0.736, p < 0.001). Logistic regression analysis indicated increasing odds of higher severity with elevated BNP from Grade 1 to Grade 3 hypertension. Conclusion: This study established a positive correlation between serum BNP levels and hypertension severity, indicating its potential as a predictive biomarker for risk stratification in hypertensive individuals.

Pharmacological Considerations in the Interpretation of Biochemical Results in Diabetic Patients with Cardiovascular Complications.

Diabetes mellitus with cardiovascular diseases is often a multi-systemic disease that requires a multi-therapeutic approach which mostly poses a challenge to laboratory result interpretation. The non-availability of information on many patients due to poor referral, documentation and record keeping has resulted in isolated interpretation of laboratory result of diabetic patients with multisystemic complications. This has led to both analytical and post-analytical errors which has a negative impact on total quality of results. Therefore, this review showed the possible therapeutic treatment of a diabetic patient with cardiovascular disease and how their pharmacological role could affect laboratory result.

Rising prevalence of gestational diabetes mellitus and its associated risk factors in Makurdi, North-Central Region of Nigeria.

Background: The disease burden of gestational diabetes mellitus (GDM) in sub-Saharan African region have been on the rise. Proper assessment of current prevalence of GDM may inform policy changes and management approach for improved care delivery. Objective: To determine the current prevalence of Gestational Diabetes Mellitus (GDM) and evaluate its major risk factors amongst pregnant women in Makurdi, North-Central Nigeria. Method: This was a multi-center hospital-based prospective observational study. Maternal characteristics and clinical risk factors for GDM in a cohort of 281 pregnant women at 9 to 16 weeks gestational age was evaluated. The one-step 75g oral glucose tolerance test (OGTT) was carried out at 24 to 28 weeks of gestation. Result: Of the 356 women recruited, 281 (79.8%) completed the study. The GDM prevalence in the cohort was 16.7%. Increased early pregnancy BMI (adjusted OR = 1.154, 95% CI = 1.080 - 1.233, p<0.001) and presence of family history of diabetes mellitus (adjusted OR = 0.482, 95% CI = 0.233 - 0.997, P<0.05) were independent risk factors for GDM in the cohort. Conclusion: Increasing maternal age and early pregnancy BMI amongst other possible reasons, may account for the rising prevalence of GDM in the region.