ABSTRACT
Context: Worldwide malnutrition is identified as a major health and nutrition problem. Undernutrition contributes to an estimated 45% of child deaths globally. The prevalence of underweight among children in India is among the highest in the world. Our children also bear a tremendous double burden of malnutrition. Aims: To find out the prevalence and determinants of malnutrition among six months to three-year-old children in the rural community of Northern India. Settings and Design: A community-based cross-sectional study conducted among children aged six months to three years in a rural area of Ludhiana district, Methods and Material: A total of 662 children in the age group of six months to three years from a population of 30,000 were identified and included in the study. All the relevant information regarding these children was collected from family folders. Socioeconomic status was assessed using the modified Udai Pareek scale (MUP). Statistical analysis used: The data collected was entered in MS Excel and was analyzed using SPSS version 26 and WHO Anthro Survey Analyzer. Results: Out of 662 children, 16% were underweight. Almost 50% of the children in the two-three years category were underweight. The prevalence of stunting in the study population was 20.7% and that of overweight was 4.8%. The prevalence of underweight was higher in children of low socioeconomic status than in children from upper socioeconomic status (P = 0.000). There was a significant association between birth order and increasing cases of underweight (P = 0.000). Conclusions: The causes of malnutrition in children are complex and involve multiple factors. There is a need for vigorous monitoring for early detection of malnutrition for children aged two-three years. The improvement of maternal education will improve the nutritional status of the child.
ABSTRACT
BACKGROUND: Coronavirus disease-2019 (COVID-19) infection and thrombosis are of great clinical importance as this association has shown to increase mortality. We intend to estimate the incidence of thrombotic events (TE) and their impact on clinical outcomes in hospitalized COVID-19 patients. METHODS: This was an analytical cross-sectional study. The study population comprised of hospitalized COVID-19 patients between 1st March 2021 and 31st May 2021. The clinico-demographic data, thrombotic events, and clinical outcomes were collected from electronic health records. RESULTS: A total of 1274 patients were analyzed. The median age of the study population was 56 years (IQR: 44-66 years). The estimated incidence of TE was 5.8% (N.=74); 60.8% of these TE occurred in patients having severe/critical COVID-19 illness and 70.3% of TE occurred in patients in the intensive care unit. Venous events (3.9%) were common compared to arterial events(1.9%). On multivariate logistic regression analysis, total leukocyte count, C-reactive protein, and D-dimer level were found to be the independent predictors of having TE. Receiver operator curve revealed a cut-off point of 872.5 DDU µg/L for D-dimer level (sensitivity: 67.6% and specificity: 72.1%; P<0.001, area under curve 0.78) for predicting TE. Patients with TE had significantly higher mortality compared to those without TE (58.1% vs. 22.2%; P<0.001); and the presence of TE (OR=2.94; 95% CI:1.7-5.1, P<0.001) was found to be the independent predictor of mortality. CONCLUSIONS: The incidence of TE is high for hospitalized COVID-19 patients and it is even higher in severe/critical COVID illness. Its presence has shown to double the mortality compared to those without it.