Modified rankin scale is a reliable tool for the rapid assessment of stroke severity and predicting disability outcomes.

Background: 'Time is brain' goes the adage. Rapid and precise management of stroke is of the utmost essence. The modified National Institutes of Health Stroke Scale (mNIHSS) and the modified Rankin Scale (mRS) predict stroke severity and functional disability outcomes. However, the mRS can be administered more rapidly than the mNIHSS and therefore might be better to assess patient outcomes. Hence, the aim of this study was to assess the correlation of stroke severity on admission and functional disability outcomes on the day of discharge or on the 8th day of hospitalization. Materials and Methods: This was an observational, cross-sectional study with a sample size of 61 participants. The mNIHSS score was calculated on admission for patients with clinical features suggestive of stroke and mRS was calculated on the 8th day of hospitalization or on discharge. Evaluation of the association between continuous variables was done using Spearman's correlation analysis. Results: Correlation between mNIHSS and mRS was positive and statistically significant (rho = 0.866, 95% CI [0.751, 0.925]. For each point increase in the mNIHSS, the odds of having higher mRS scores are 153% more than the odds of having lower mRS scores (aOR = 2.534, 95% CI [1.904, 3.560]). Conclusion: Our study concluded that mRS can be reliably used to predict the functional outcomes for patients with stroke in circumstances where the mNIHSS may prove to be lengthy. Thus, where 'time is brain', the mRS can be used with a similar power to predict the outcome.

Triple burden of malnutrition and role of anaemia in the development of complications associated with type 1 diabetes in Indian children and youth.

OBJECTIVES: The double burden of malnutrition accompanied by micronutrient deficiency is referred to as the triple burden of malnutrition (TBM). Very few studies have highlighted the TBM in children with type-1 diabetes. We conducted this study with the objective of estimating the TBM in Indian children and youth with type-1 diabetes (T1D) and to study role of anaemia in the development of complications associated with T1D. METHODS: This cross-sectional observational study included 394 subjects with T1D. Demographic data, anthropometry, blood pressure, biochemical measurements, dual energy X-ray absorptiometry (DXA) and peripheral quantitative computed tomography were performed using standard protocols. Estimated glucose disposal rate (eGDR) and estimated glomerular filtration rate (eGFR) were calculated for all subjects. RESULTS: We report a 16, 5.8, and 16.2% prevalence of anaemia, underweight and overweight/obese suggesting TBM with microcytic hypochromic anaemia as the most common morphological form. Haemoglobin concentrations showed positive correlation with systolic and diastolic blood pressure. The presence of anaemia was a significant predictor of eGDR and macrovascular complications in T1D which could not be attributed to glycemic control. Bone health of anaemic T1D subjects was poor than subjects without anaemia on DXA scan after adjusting for confounders. No systematic pattern between Hb concentrations and eGFR or ACR was found. CONCLUSIONS: TBM in Indian children and youth with T1D is a significant health problem and anaemia is an important predictor in the development of macrovascular complications and poor bone health associated with T1D. However, its role in development of microvascular complications remains to be explored.

Validation of mid-upper-arm-circumference cut-offs for assessment of overnutrition in Indian children and adolescents with type 1 diabetes.

AIMS: Mid upper arm circumference (MUAC) measurement is an easy and low-cost method to determine nutritional status. MUAC cut-offs for screening for overnutrition in Indian children from 5 to 17 years age are recently published. We conducted this study to validate MUAC cut-offs against BMI to screen overnutrition in children with T1D in comparison with age-gender-matched healthy controls and to compare the predictive value of BMI and MUAC to assess adiposity. METHODOLOGY: This cross sectional, observational study included 249 children and adolescents (5-17 years) with T1D attending a pediatric endocrine clinic along with same number of age and gender matched healthy controls. Demographic, anthropometric and body composition data were obtained using standardized protocols and questionnaires. RESULTS: The co-relation between MUAC with BMI was significant for cases and controls and percent body fat with MUAC and BMI in T1D(r = 0.854,0.917 and 0.546,0.616). The AUC of MUAC to identify obesity based on BMI cut-offs for cases and controls and of BMI and MUAC for adiposity were similar(0.745,0.918 and 0.867,0.814). Sensitivity, specificity and PPV were significantly higher in controls than in cases. CONCLUSION: MUAC is an accurate method to identify obesity and adiposity in T1D thereby reducing the risk of development of double diabetes.