In women with <scp>PCOS</scp>, waist circumference is a better surrogate of glucose and lipid metabolism than disease status per se

Pazderska, Agnieszka; Tun, Tommy Kyaw; Phelan, Niamh; McGowan, Anne; Sherlock, Mark; Behan, Lucy Ann; Boran, Gerard; Gibney, James

doi:10.1111/cen.13542

Cited by 12 publications

(8 citation statements)

References 48 publications

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“…In our study, although the mean age and BMI were comparable in the PCOS and control groups, the mean WC and WHR of the PCOS group were higher than those of the control group, which was consistent with previous studies [23,24]. Moreover, high levels of PINS, TG, and UA, and lower levels of HDL-C were observed in the PCOS group, which was in line with previous studies, showing that patients with PCOS have worse metabolic status than controls [25,26].…”

Section: Discussionsupporting

confidence: 92%

The Changes in Body Composition in Obese Patients with Polycystic Ovary Syndrome after Laparoscopic Sleeve Gastrectomy:a 12-Month Follow-up

Cai

Gao

et al. 2021

OBES SURG

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Objectives To investigate the changes in body fat distribution and predicting factors of these changes in polycystic ovary syndrome (PCOS) patients with obesity, after laparoscopic sleeve gastrectomy (LSG). Methods This study consecutively enrolled 153 patients with obesity aged 18-45 years (83 with PCOS and 70 control patients) who underwent LSG from May 2013 to September 2020 at the Department of Endocrinology, Shanghai Tenth People's Hospital, with a 12-month follow-up. Dual-energy X-ray absorptiometry (DEXA) was used to assess body fat distribution. ResultsThe percentage of fat mass loss in the visceral adipose tissue (VAT) region (55.08%) was more than that in any other body regions at 12 months post-surgery in the PCOS group yet insignificant. Homeostatic model assessment of insulin resistance (HOMA-IR) at baseline and Δ HOMA-IR were only negatively correlated with the variations in VAT mass and volume at 3 months post-surgery in the PCOS group. Logistic regression analysis showed that HOMA-IR <6.65 was an independent predictive factor for the changes in VAT mass and volume at 3 months post-surgery in the PCOS group. Conclusions In this study, the percentage loss of fat mass was greater in the VAT region than in any other body regions in all patients. The rate of VAT decrease in the PCOS group was higher than that in the control group yet insignificant. Compared with control patients, HOMA-IR at baseline was an independent risk factor for the changes in VAT mass and volume at 3 months postsurgery in patients with PCOS. Key Points• The percentage loss of fat mass was greater in the VAT region than in any other body regions in all patients.• The rate of VAT decrease in the PCOS group was higher than that in the control group yet insignificant.• HOMA-IR at baseline was an independent risk factor for the changes of VAT mass in patients with PCOS.

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Section: Discussionsupporting

confidence: 92%

The Changes in Body Composition in Obese Patients with Polycystic Ovary Syndrome after Laparoscopic Sleeve Gastrectomy:a 12-Month Follow-up

Cai

Gao

et al. 2021

OBES SURG

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“…No decisive proofs in the form of significant changes of BMI, waist circumference or percentage content of adipose tissue were found. This is significant in the light of the studies conducted by Pazderska et al, which indicate that waist circumference in patients with PCOS is suggested as a predictor of glucose and lipid metabolism disorders [45]. In the review of 10 studies performed by Pitter [46], a significant differential effect to the benefit of CrP was indicated; however, the clinical significance of this effect is still disputed.…”

Section: Resultsmentioning

confidence: 99%

The Possibilities of Using Chromium Salts as an Agent Supporting Treatment of Polycystic Ovary Syndrome

Piotrowska

Pilch

Czerwińska-Ledwig

et al. 2019

Biol Trace Elem Res

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The polycystic ovary syndrome (PCOS) is the most frequent endocrinopathy in women in reproductive age with the so far undetermined causes of development. In the etiopathogenesis of PCOS, the role of insulin resistance is emphasised, which was an indication for the attempts at using chromium III salts (Cr) in augmenting pharmacotherapy applied in patients. The analysis of the usefulness and efficacy of this approach was the direct goal of this thesis. Animal tests confirmed the efficacy of chromium in maintaining the appropriate level of glycaemia and insulinaemia, normalisation of plasma concentrations of microelements and also a correlation between the Cr level, insulin and dehydroepiandrosterone (DHEA) was found. A decrease in the expression of 3β-hydroxysteroid dehydrogenase and 17β-hydroxysteroid dehydrogenase was identified in adipose tissue. Clinical studies, although sparse, show that the supplementation with chromium can improve BMI and the parameters evaluating the control of glycaemia and increase the chances for ovulation and regular menstruation. However, the small number and a variability in study protocols makes comparing them very difficult. A completely new subject that has not been yet studied is the possibility of using chromium in levelling mood disorders in patients with PCOS. Currently, there are still no sufficient proofs for introducing chromium as a standard in treating and preventing insulin resistance in patients with PCOS. However, this direction remains open, and treating insulin resistance is an important challenge in clinical practice.

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“…22 We have recently shown that those with raised AMH have up to 4fold increased risk of having PCOS. 6,23 Waist circumference, a measure of central adiposity, is a marker of severity of PCOS and has been suggested to be a better surrogate of glucose and lipid metabolism in PCOS than the disease status per se. 9 The associations of FAI and waist circumference with PCOS are well-documented in the literature.…”

Section: P-value * Median (Iqr) Median (Iqr)mentioning

confidence: 99%

“…8 It has also been suggested that serum AMH reflects ovarian size in PCOS patients and can be used as surrogate for transvaginal ultrasound in the diagnosis of PCOS. 23 Menstrual dysfunction is a common symptom in PCOS and is a consequence of anovulation. 6,23 Waist circumference, a measure of central adiposity, is a marker of severity of PCOS and has been suggested to be a better surrogate of glucose and lipid metabolism in PCOS than the disease status per se.…”

Section: P-value * Median (Iqr) Median (Iqr)mentioning

confidence: 99%

“…9 The associations of FAI and waist circumference with PCOS are well-documented in the literature. 6,23 Waist circumference, a measure of central adiposity, is a marker of severity of PCOS and has been suggested to be a better surrogate of glucose and lipid metabolism in PCOS than the disease status per se. 23 Menstrual dysfunction is a common symptom in PCOS and is a consequence of anovulation.…”

Section: P-valuementioning

confidence: 99%

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Development of a novel risk prediction and risk stratification score for polycystic ovary syndrome

Deshmukh

Papageorgiou

Atkin

et al. 2018

Clinical Endocrinology

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Summary Objective The aim of this study was to develop a simple phenotypic algorithm that can capture the underlying clinical and hormonal abnormalities to help in the diagnosis and risk stratification of polycystic ovary syndrome (PCOS). Methods The study consisted of 111 women with PCOS fulfilling the Rotterdam diagnostic criteria and 67 women without PCOS. A Firth's penalized logistic regression model was used for independent variable section. Model optimism, discrimination and calibration were assessed using bootstrapping, area under the curve (AUC) and Hosmer‐Lemeshow statistics, respectively. The prognostic index (PI) and risk score for developing PCOS were calculated using independent variables from the regression model. Results Firth penalized logistic regression model with backward selection identified four independent predictors of PCOS namely free androgen index [β 0.30 (0.12), P = 0.008], 17‐OHP [β = 0.20 (0.01), P = 0.026], anti‐mullerian hormone [AMH; β = 0.04 (0.01) P < 0.0001] and waist circumference [β = 0.08 (0.02), P < 0.0001]. The model estimates indicated high internal validity (minimal optimism on 1000‐fold bootstrapping), good discrimination ability (bias corrected c‐statistic = 0.90) and good calibration (Hosmer‐Lemeshow χ2 = 3.7865). PCOS women with a high‐risk score (q1 + q2 + q3 vs q4) presented with a worse metabolic profile characterized by a higher 2‐hour glucose (P = 0.01), insulin (P = 0.0003), triglycerides (P = 0.0005), C‐reactive protein (P < 0.0001) and low HDL‐cholesterol (P = 0.02) as compared to those with lower risk score for PCOS. Conclusions We propose a simple four‐variable model, which captures the underlying clinical and hormonal abnormalities in PCOS and can be used for diagnosis and metabolic risk stratification in women with PCOS.

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In women with PCOS, waist circumference is a better surrogate of glucose and lipid metabolism than disease status per se

Cited by 12 publications

References 48 publications

The Changes in Body Composition in Obese Patients with Polycystic Ovary Syndrome after Laparoscopic Sleeve Gastrectomy:a 12-Month Follow-up

The Changes in Body Composition in Obese Patients with Polycystic Ovary Syndrome after Laparoscopic Sleeve Gastrectomy:a 12-Month Follow-up

The Possibilities of Using Chromium Salts as an Agent Supporting Treatment of Polycystic Ovary Syndrome

Development of a novel risk prediction and risk stratification score for polycystic ovary syndrome

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