Microalbuminuria, Other Markers of Nephropathy and Biochemical Derangements in Type 2 Diabetes Mellitus: Relationships and Determinants

Background: Microalbuminuria is an early indicator of Diabetic nephropathy and cerebrovascular disease.Objective: To evaluate relationships between microalbuminuria and other predictors of morbidity and mortality in type 2 DM.Methods: Fifty type 2 diabetic subjects were recruited each for three groups separated by disease durations. Thirty non-diabetic subjects were recruited to control each group. Urine albumin-to-creatinine ratio (ACR) was estimated. Fasting plasma glucose (FPG), serum creatinine, urea, total cholesterol (TC), triglycerides (TG), high- and low density lipoprotein (HDL, LDL) were measured.Results: The diabetics with longest disease duration of >10 years were the oldest (65.86±1.71), had highest systolic BP (147.12±3.39mmHg) and least BMI (27.20±0.71Kg/m2); they had poorest lipid control (TC:5.54±0.26mmol/L),though with the least TG (0.97±0.09mmol/L); they also had the most severe microalbuminuria (33.63±8.03g/L) and ACR (65.85±10.38mg/gm). Patients with diabetes of 5-10 years had the poorest glycaemic control:FPG- 7.82±0.47mmol/L; HbA1c-13.09±0.74%). Significant negative correlations exist between microalbuminuria,HBA1c(r=-2.28, p=0.028) and serum creatinine(r=-2.11,p=0.042) in patients with 5-10 years disease; a positive correlation between the ACR and TC(r=1.00,p<0.01) in those with >10 years disease. In multivariate analysis, independent predictors of microalbuminuria were disease duration (OR 2.2, p< 0.001); HBA1c (OR 7.3, p=0.02); LDL/HDL ratio (OR 13.4, p< 0.001).Conclusion: The severity and progression of albuminuria are associated with longer duration of diabetes and poor glycaemic control. Significant relationships exist between ACR and HBA1c, TC, HDL-C, TG, creatinine. Disease duration, ethnicity, HBA1c, TC, TG, HDL-C and LDL/HDL ratio are independent predictors of albuminuria.Keywords: diabetes, microalbuminuria, albumin-to-creatinine ratio, dyslipidaemia, nephropathy, cardiovascular diseaseFunding: None declare

Growth Pattern of Pseudomonas aeruginosa in different wastewater media

Restaurant wastewater are a major cause of environmental pollution with the indiscriminate release of the effluent to the environment resulting in blocking of drainages and eutrophication thereby causing serious threat to aquatic life. The growth pattern of a dietary rich oily wastewater degrading bacteria strain, Pseudomonas aeruginosa in different wastewater media composed to mimic the possible constituents of restaurant wastewater was investigated in this study. There was noticeable microbial growth in the synthetic and domestic wastewaters after 48h while the detergent wastewater and heated oil-detergent wastewater did not support the strain's growth. The decrease in the fat content with a corresponding increase in the ash content after 120h was due to the test strain's metabolic activity, which is slightly higher in domestic wastewater than the heated oil-detergent solution. Also, the potassium (K+), Mg2+, Fe2+ and Ca2+ contents increased within the same period in both media except in the domestic wastewater where the Ca2+ content reduced. Protease enzyme activity (46.440mM/min) was considerably higher in the domestic wastewater than lipase (3.322mM/min) and amylase activity (14.244mM/min) after 72 hours of incubation. The pristine genetic properties of Pseudomonas aeruginosa altered when cultured in various wastewaters probably due to variation in the composition of the substrates

Nutritive Quality of Hay and Silage from Natural Grazing Land in South Western Nigeria

In the tropics, inadequate nutrition caused by scarcity of forages and its low quality constitutes a major constraint to good performance of ruminant animals (Lukuyu et al. 2011). Herbage availability during the wet season often exceeds animal requirements (Chakoma et al. 1999). As the dry season sets in, the protein level of the accumulated forages drops and the fibre level increases, with an increase in lignin content while voluntary intake decreases. Due to lack of quality forage especially in the dry season, animals feeding on them tend to lose weight and their productivity will be negatively affected. In order to reduce the limitations of feeds for ruminant animals especially during dry season, there is need to develop feed conservation strategies. The use of high quality forages appears to be the most feasible option to serve this purpose. Therefore, conservation of excess forages produced in the rainy season can be utilized as supplements during the dry season to be able to alleviate poor performance of ruminant animals and will also enhance incomes of small-scale farmers. The aim of this study was to determine the suitability of conserved forages (hay and silage) from the natural grazing land as dry season supplementary feed for ruminant animals grazing in natural pastureland

EVALUATION OF THE AGRONOMIC PERFORMANCE AND NUTRITIVE VALUES OF TEPHROSIA BRACTEOLATA GUILL. & PERR. AND GMELINA ARBOREA ROXB PRUNNINGS AT DIFFERENT STAGES OF GROWTH

This study was carried out to investigate the growth, dry matter yield and chemical composition of Tephrosia bracteolata and Gmelina arborea at Teaching and Research Farm, Federal University of Agriculture, Abeokuta, Nigeria. The objective of this study was to evaluate the effect of different stages of growth of T. bracteolata and G. arborea on their agronomic performance, herbage yield and nutritive value in the humid zone of Nigeria. Data were collected at 8, 12, 16 and 20 weeks after planting (WAP). Results showed that T. bracteolata attained the height of 161 cm at 20 WAP, though not significantly different from the height at 16 WAP. The leaf number (24), branch number (7) and dry matter yield of T. bracteolata were recorded highest at 16 WAP. The height of G. arborea was on constant increase throughout the experimental period. The crude protein (CP) and ether extract (EE) contents of the two browse plants were highest at 8 WAP and thereafter, declined throughout the experimental period. Fibre fractions, the neutral detergent fibre (NDF), acid detergent fibre (ADF) and acid detergent lignin (ADL) had a least value for both browse species at 8 WAP and highest values at 20 WAP. From the study, considering the dry matter yield and nutritive value, T. bracteolata being an annual species, can be harvested at 16 WAP when the quality and quantity will support livestock productivity and can be conserved to be fed to ruminant animals during dry season when feed availability and quality are extremely low. However, planting of G. arborea should be encouraged being a perennial browse plant that will support livestock productivity during the dry season in the tropics. In conclusion, T. bracteolata and G. arborea grow rapidly and are recommended as forage of high nutritive values that meet ruminant animal protein requirements especially during the dry season

Geographical information system and predictive risk maps of urinary schistosomiasis in Ogun State, Nigeria

<p>Abstract</p> <p>Background</p> <p>The control of urinary schistosomiasis in Ogun State, Nigeria remains inert due to lack of reliable data on the geographical distribution of the disease and the population at risk. To help in developing a control programme, delineating areas of risk, geographical information system and remotely sensed environmental images were used to developed predictive risk maps of the probability of occurrence of the disease and quantify the risk for infection in Ogun State, Nigeria.</p> <p>Methods</p> <p>Infection data used were derived from carefully validated morbidity questionnaires among primary school children in 2001–2002, in which school children were asked among other questions if they have experienced "blood in urine" or urinary schistosomiasis. The infection data from 1,092 schools together with remotely sensed environmental data such as rainfall, vegetation, temperature, soil-types, altitude and land cover were analysis using binary logistic regression models to identify environmental features that influence the spatial distribution of the disease. The final regression equations were then used in Arc View 3.2a GIS software to generate predictive risk maps of the distribution of the disease and population at risk in the state.</p> <p>Results</p> <p>Logistic regression analysis shows that the only significant environmental variable in predicting the presence and absence of urinary schistosomiasis in any area of the State was Land Surface Temperature (LST) (B = 0.308, p = 0.013). While LST (B = -0.478, p = 0.035), rainfall (B = -0.006, p = 0.0005), ferric luvisols (B = 0.539, p = 0.274), dystric nitosols (B = 0.133, p = 0.769) and pellic vertisols (B = 1.386, p = 0.008) soils types were the final variables in the model for predicting the probability of an area having an infection prevalence equivalent to or more than 50%. The two predictive risk maps suggest that urinary schistosomiasis is widely distributed and occurring in all the Local Government Areas (LGAs) in State. The high-risk areas (≥ 50% prevalence) however, are confined to scatter foci in the north western part of the State. The model also estimated that 98.99% of schools aged children (5–14 years) are living in areas suitable for urinary schistosomiasis transmission and are at risk of infection.</p> <p>Conclusion</p> <p>The risk maps developed will hopefully be useful to the state health officials, by providing them with detailed distribution of urinary schistosomiasis, help to delineate areas for intervention, assesses population at risk thereby helping in optimizing scarce resources.</p

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population