ABSTRACT
This study is taken up to estimate and compare the level of serum Lp(a) in hypothyroid patients and in healthy controls. A total of 50 hypothyroidpatients within aged group 20-60 years and total of 50 healthy controls within 20-60 years were enrolled in the study after taking written consent. Thyroid profile and Lp(a) were measured by CLIA and immune turbidemetric method respectively. Data collected was analysed using Stata version 14.1 software. Result shows an increased level of Lp(a) among hypothyroid patients when compared to healthy controls
ABSTRACT
Background: Metabolic syndrome is a group of metabolic abnormalities in which the chance of developing cardiovascular disease, diabetes mellitus, chronic kidney disease are high.Aim:It aims at studying the lipid abnormalities in metabolic syndrome patients.Methods: Total of 100 metabolic syndrome patients were selected for study over a period of 1year. These patients were selected based on the criteria for metabolic syndrome as established by National Cholesterol Education Program (NCEP) adult Treatment Panel III (ATP III). Demographic data were taken and biochemical parameters were estimated by standard guideline. Results:Total cholesterol is significantly higher in very high risk(272.1 ± 8.591) compared to high risk (241.2 ± 3.901) and moderate risk (231.5 ± 4.498). TGL is significantly higher in very high risk (263.9 ± 13.70) compared to high risk (202.1 ± 6.531) and moderate risk (183.7 ± 7.650). HDL is almost same in very highrisk (43.09 ± 1.533), high risk (40.44 ± 0.996) and moderate risk (42.53 ± 1.088). LDL is significantly higher in very high risk (177.9 ± 4.255) and high risk (169.4 ± 3.190) compared to moderate risk (155.7 ± 3.098). VLDL is significantly higher in very high risk (52.78 ± 2.739) compared to high risk (40.43 ± 1.306) and moderate risk (36.73 ± 1.530). CHO: HDL is significantly higher in very high risk (6.648 ± 0.366) compared to moderate risk (5.560 ± 0.207). High risk (6.060 ± 0.156) is not significantly different from very high risk and moderate risk. Thus TC, TGL, LDL, VLDL, and CHO: HDL is significant as p value < 0.05 while HDL did not have any significance as p value > 0.05.Conclusion: In this study, high prevalence of dyslipidaemia is seen. So, timely diagnosis and treatment will help in detecting dyslipidaemia patients in future
ABSTRACT
Background: Hepcidin is known to be the central regulator of iron homeostasis in the body. It is up-regulated by inflammation and downregulated by anemia. CKD is a state of chronic inflammation seen in kidney.Previous work has shown that serum hepcidin levels were increased in patients with CKD. This was surprising as these patients had a chronic inflammatory state and co-existent anemia. Aim and Objectives: The aim of the study is to estimate the levels of hepcidin in CKD patients and to check the correlation of hepcidin to inflammation in chronic kidney disease. Methods: This cross-sectional study was conducted at the Department of Biochemistry, Central Laboratory, Sree Balaji Medical College and Hospital,Chromepet, Chennai during January 2017 -June 2018 among 50 patients of chronic kidney disease in the age group of 18-60 years. The blood samples were collected using vacutainer system. Samples for serum hepcidin, ferritin and hsCRP were collected in red topped plain vacuum tube. The samples were centrifuged at 3000 rpm for 15 minutes. The samples were then processed, and values were obtained. The data were analysed using SPSS package.Results: The mean values of s. Hepcidin, s. ferritin and hsCRP levels were found to be increased in the study population. The mean value of s. hepcidin was found to have strong positive correlation with the mean values of s. ferritin and hsCRP with r-value > 0.7.Conclusion: Hepcidin levels are elevated in CKD and hepcidin isa predictor of inflammation since it correlated well with the inflammatory markers hsCRP and ferritin levels
ABSTRACT
EKALAVYA computer program aims at high risk screening of under 5 children in Primary Health Centers by Community Health Workers (CHWs) simulating existing programs like CSSM, ICDS etc. This integrates many common symptoms like fever, respiratory, diarrhea, convulsions etc. along with health promotional aspects like growth, immunization etc. at Community Health Workers skills level. EKALAVYA program was user friendly for CHWs who were trained in 2-3 weeks. CHWs with computer guidance were compared with clinical evaluation of Research Team in 96 pediatric OPD cases in a teaching institution. Overall concordance was 91.66%. Symptom wise and severity wise analysis also showed good concordance. The study also indicated training and programme errors which could be easily corrected. EKALAVYA Program is now ready for field trial in PHCs for the guidance of CHWs in decision making.