Karam, Pinky and Shanthi, B. and Selvi, Kalai (2020) Study of Lipid Profile in Metabolic Syndrome Patients. Journal of Pharmaceutical Research International, 32 (13). pp. 166-173. ISSN 2456-9119
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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 high risk (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.
Item Type: | Article |
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Subjects: | West Bengal Archive > Medical Science |
Depositing User: | Unnamed user with email support@westbengalarchive.com |
Date Deposited: | 06 Apr 2023 06:32 |
Last Modified: | 01 Aug 2024 09:32 |
URI: | http://article.stmacademicwriting.com/id/eprint/353 |