Literature DB >> 32037881

Assessment of insulin resistance and metabolic syndrome in young reproductive aged women with polycystic ovarian syndrome: analogy of surrogate indices.

Nadia Rashid1, Aruna Nigam2, Sana Kauser1, Prem Prakash3, S K Jain4, Saima Wajid1.   

Abstract

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.

Entities:  

Keywords:  CVD; LAP; PCOS; insulin resistance; metabolic syndrome

Mesh:

Substances:

Year:  2020        PMID: 32037881     DOI: 10.1080/13813455.2020.1724157

Source DB:  PubMed          Journal:  Arch Physiol Biochem        ISSN: 1381-3455            Impact factor:   4.076


  3 in total

1.  Lipid Accumulation Product Better Predicts Metabolic Status in Lean Polycystic Ovary Syndrome than that by Visceral Adiposity Index.

Authors:  Hurjahan Banu; Md Shahed Morshed; Tania Sultana; Sukanti Shah; Shazia Afrine; M A Hasanat
Journal:  J Hum Reprod Sci       Date:  2022-03-31

2.  Lipid ratios and obesity indices are effective predictors of metabolic syndrome in women with polycystic ovary syndrome.

Authors:  Małgorzata Kałużna; Magdalena Czlapka-Matyasik; Pola Kompf; Jerzy Moczko; Katarzyna Wachowiak-Ochmańska; Adam Janicki; Karolina Samarzewska; Marek Ruchała; Katarzyna Ziemnicka
Journal:  Ther Adv Endocrinol Metab       Date:  2022-01-10       Impact factor: 3.565

Review 3.  The Accuracy of Visceral Adiposity Index for the Screening of Metabolic Syndrome: A Systematic Review and Meta-Analysis.

Authors:  Moniba Bijari; Sara Jangjoo; Nima Emami; Sara Raji; Mahdi Mottaghi; Roya Moallem; Ali Jangjoo; Amin Saberi
Journal:  Int J Endocrinol       Date:  2021-07-26       Impact factor: 3.257

  3 in total

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