Assessment of insulin resistance and metabolic syndrome in young reproductive aged women with polycystic ovarian syndrome: analogy of surrogate indices
| Autor: | Swatantra Kumar Jain, Saima Wajid, Sana Kauser, Aruna Nigam, Nadia Rashid, Prem Prakash |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Adult
medicine.medical_specialty endocrine system diseases Physiology 030209 endocrinology & metabolism Positive correlation Gastroenterology Fasting insulin Body Mass Index Fasting glucose 03 medical and health sciences 0302 clinical medicine Insulin resistance Physiology (medical) Internal medicine Humans Medicine Metabolic Syndrome business.industry nutritional and metabolic diseases General Medicine Anthropometry medicine.disease Cross-Sectional Studies Cardiovascular Diseases 030220 oncology & carcinogenesis Female Insulin Resistance Metabolic syndrome business Biomarkers Polycystic Ovary Syndrome |
| Zdroj: | Archives of Physiology and Biochemistry. 128:740-747 |
| ISSN: | 1744-4160 1381-3455 |
| DOI: | 10.1080/13813455.2020.1724157 |
| Popis: | Background: Polycystic ovarian syndrome has emerged as a cardiometabolic disorder and aim of this study was to evaluate various surrogate indices and their diagnostic potential to determine the most convenient and cost-effective marker of IR, CVD, and MetS in these women.Materials and methods: Ninety-five PCOS women and 45 age matched healthy women were enrolled. Measures included anthropometric and biochemical parameters, BMI, WHR, WHtR, BAI, VAI, LAP, HOMA-IR, and lipid profile.Results: LAP has highest AUC value 0.781 with cut-off value = 39.73 (sensitivity = 75% and specificity = 79.5%) for predicting IR and AUC value 0.83 with cut-off value = 35.63 (sensitivity = 94.4% and specificity = 77.3%) for predicting MetS in women with PCOS. LAP had statistically strong positive correlation with WC, BMI, WHR, fasting glucose, fasting insulin, HOMA-IR, TC, TG, and SBP.Conclusions: LAP is a powerful and reliable marker for assessment of IR, CVD, and MetS risk in young Indian women with PCOS. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|