Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome

Costa, Eduardo Caldas; Sá, Joceline Cássia Ferezini de; Soares, Elvira Maria Mafaldo; Lemos, Telma Maria Araújo Moura; Maranhão, Técia Maria de Oliveira; Azevedo, George Dantas de

doi:10.3109/09513590.2011.583956

Cited by 30 publications

(25 citation statements)

References 26 publications

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“…However, a potential limitation that needs to be mentioned is that we used the HOMA-IR as a surrogate marker for assessing IR (6). In spite of a good correlation between the HOMA-IR and the gold standard clamp methods (19,27), it might be inaccurate in PCOS (56). Furthermore, our study has a drawback that we did not have adequate power to subanalyze our data in order to compare the adiposity indexes of different phenotypes of women with PCOS.…”

Section: Discussionmentioning

confidence: 96%

Comparison of various adiposity indexes in women with polycystic ovary syndrome and normo-ovulatory non-hirsute women: a population-based study

Tehrani

Minooee

Azizi

2014

European Journal of Endocrinology

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Objective: Insulin resistance (IR) and metabolic disorders are common in polycystic ovary syndrome (PCOS). However, it is still not clear which adiposity marker could precisely predict metabolic syndrome (MetS) in women with PCOS and whether these indexes are different in normo-ovulatory non-hirsute women. Design: A case-control study was conducted on a total of 175 Iranian subjects with PCOS and 525 normal control subjects, aged 18-45 years. Methods: Waist circumference (WC), BMI, waist-to-hip ratio, lipid accumulation product (LAP) index, and visceral adiposity index (VAI) were examined and the homeostasis model assessment index was calculated. MetS was defined according to the joint interim statement. The receiver operating characteristic curves were used to evaluate the extent to which measures of adiposity can predict IR and MetS risk. Results: LAP index and VAI are two indicators (sensitivity and PPV of 70% (LAP index) and 60% (VAI), and 80% (LAP index) and 83% (VAI) respectively) that best predict IR in women with PCOS. Among healthy women, the LAP index and WC were better markers (sensitivity and PPV of 78% (LAP index) and 75% (VAI), and 82% (LAP index) and 81% (VAI) respectively). The two most reliable indicators for prediction of MetS among PCOS and normal women were the WC and VAI (sensitivity and PPV of 83% (WC) and 81% (VAI), and 97% (WC) and 95% (VAI) respectively) and the VAI and LAP index (sensitivity and PPV of 88% (VAI) and 83% (LAP index), and 98% (VAI) and 98% (LAP index) respectively) respectively. Conclusions: While the appropriate adiposity indicators and their optimum cutoff values vary in women with PCOS, compared with the normal control subjects, the LAP index is an easily obtainable index that might be useful for screening of cardiometabolic complications among both groups.

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Section: Discussionmentioning

confidence: 96%

Comparison of various adiposity indexes in women with polycystic ovary syndrome and normo-ovulatory non-hirsute women: a population-based study

Tehrani

Minooee

Azizi

2014

European Journal of Endocrinology

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“…There have been recent reports regarding the potential usefulness of various adiposity indexes for the screening of cardiometabolic risk in PCOS [6,10,[25][26][27][28][29][30][31][32]. These inexpensive and simple to use indexes include waist circumference (WC) [6], lipid accumulation product (LAP) [10,29,30,33,34], visceral adiposity index (VAI) [25,31,32,34], waist-to-height ratio (WHtR) [26,28], and the conicity index (C-index) [27]. However, until now, no study has as reference standard for screening preclinical metabolic alterations and cardiovascular risk factors in each group.…”

Section: Introductionmentioning

confidence: 99%

Adiposity Indexes as Phenotype-Specific Markers of Preclinical Metabolic Alterations and Cardiovascular Risk in Polycystic Ovary Syndrome: A Cross-Sectional Study

Mario

Graff

Spritzer

2017

Exp Clin Endocrinol Diabetes

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Polycystic ovary syndrome (PCOS) is a common condition in women of reproductive age. 2 PCOS phenotypes (classic and ovulatory) are currently recognized as the most prevalent, with important differences in terms of cardiometabolic features. We studied the performance of different adiposity indexes to predict preclinical metabolic alterations and cardiovascular risk in 234 women with PCOS (173 with classic and 61 with ovulatory PCOS) and 129 controls. Performance of waist circumference, waist-to-height ratio, conicity index, lipid accumulation product, and visceral adiposity index was assessed based on HOMA-IR ≥ 3.8 as reference standard for screening preclinical metabolic alterations and cardiovascular risk factors in each group. Lipid accumulation product had the best accuracy for classic PCOS, and visceral adiposity index had the best accuracy for ovulatory PCOS. By applying the cutoff point of lipid accumulation product<34, we identified a subgroup of patients without cardiometabolic alterations (P<0.05) in the group with classic PCOS, a population at higher risk for hypertension, dyslipidemia, and impaired glucose tolerance. In ovulatory PCOS, visceral adiposity index ≥ 1.32 was capable of detecting women with significantly higher blood pressure and less favorable glycemic and lipid variables as compared to ovulatory PCOS with lower visceral adiposity index (P<0.05). These results suggest LAP ≥ 34 as the best marker for classic PCOS, and VAI ≥ 1.32 for ovulatory PCOS women. Both indexes can be easily calculated with measures obtained in routine clinical practice and may be useful to detect cardiometabolic risk and secure early interventions.

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“…This study demonstrated that these three parameters are all valuable for predicting obesity PCOS, and there was no significant difference among them. Previous studies show that, WC is superior in the accuracy of BMI and other parameters in predicting metabolic syndrome in China [21, 22], metabolic syndrome in PCOS patients in South Korea [23] and Brazil [24]. The reason, mainly is that obesity and overweight are two different concepts.…”

Section: Discussionmentioning

confidence: 99%

“…Korean studies [23] showed that WC 80 cm was the best cut-off point for the best prediction of PCOS in Korean women; Brazilian studies [24] show WC 95 cm was the best cut-off point for the best prediction of PCOS in Brazilian women. The results of this study confirmed that, BMI 26.6 kg/m 2 , WC 80.5 cm and PBF 29 %, were the best cut-off point for diagnosing PCOS.…”

Section: Discussionmentioning

confidence: 99%

Application of receiver operating characteristic curve in the assessment of the value of body mass index, waist circumference and percentage of body fat in the Diagnosis of Polycystic Ovary Syndrome in childbearing women

Pan

Shang

et al. 2016

J Ovarian Res

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BackgroundThere are various parameters to analyze obesity, however, no standard reference to predict, screen or diagnose PCOS with various obesity parameters has been established, and the accuracy of these parameters still needs to be studied.This study was to use the receiver operating characteristic (ROC) curve to explore the different values of three obesity parameters, body mass index (BMI), waist circumference (WC) and percentage of body fat (PBF) in the diagnosis of polycystic ovary syndrome (PCOS) in Chinese childbearing women.MethodsThree hundred patients who were diagnosed with PCOS at Center of Reproductive Medicine and Genetics of Peking University First Hospital were enrolled in this study, and 110 healthy age-matched women were enrolled as controls. The characteristics of BMI, WC and PBF in PCOS patients were analyzed.ResultsCompared with the control group, all the three obesity parameters were significantly increased in PCOS group. In terms of ROC area under the curve, WC > PBF > BMI, and they were all significantly different from those of the control. At a cut-off point of 80.5 cm, WC has a sensitivity of 73.6 % and a specificity of 85 % in diagnosis of PCOS; At a cut-off point of 29 %, PBF has a sensitivity of 88.2 % and a specificity of 57.7 % in diagnosis of PCOS; and at a cut-off point of 26.6 kg/m2, BMI has a sensitivity of 54.5 % and a specificity of 98 % in diagnosis of PCOS.ConclusionWC, BMI and PBF are valuable in screening and diagnosis of PCOS in Chinese childbearing women. PBF can be used to screen PCOS as it has a better sensitivity, while BMI can be used in the diagnosis of PCOS as it has a better specificity.

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Anthropometric indices of central obesity how discriminators of metabolic syndrome in Brazilian women with polycystic ovary syndrome

Abstract: Our results indicated that WC and WHtR are more accurate than WHR and C-Index to predict MetS in Brazilian PCOS women.

Cited by 30 publications

References 26 publications

Comparison of various adiposity indexes in women with polycystic ovary syndrome and normo-ovulatory non-hirsute women: a population-based study

Comparison of various adiposity indexes in women with polycystic ovary syndrome and normo-ovulatory non-hirsute women: a population-based study

Adiposity Indexes as Phenotype-Specific Markers of Preclinical Metabolic Alterations and Cardiovascular Risk in Polycystic Ovary Syndrome: A Cross-Sectional Study

Application of receiver operating characteristic curve in the assessment of the value of body mass index, waist circumference and percentage of body fat in the Diagnosis of Polycystic Ovary Syndrome in childbearing women

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