55 research outputs found
Development of a novel risk prediction and risk stratification score for polycystic ovary syndrome (PCOS)
ObjectiveThe 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).MethodsThe 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 HosmerâLemeshow statistics, respectively. The prognostic index (PI) and risk score for developing PCOS were calculated using independent variables from the regression model.ResultsFirth 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], 17âOHP [β = 0.20 (0.01), P = 0.026], antiâmullerian 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 1000âfold bootstrapping), good discrimination ability (bias corrected câstatistic = 0.90) and good calibration (HosmerâLemeshow Ď2 = 3.7865). PCOS women with a highârisk score (q1 + q2 + q3 vs q4) presented with a worse metabolic profile characterized by a higher 2âhour glucose (P = 0.01), insulin (P = 0.0003), triglycerides (P = 0.0005), Câreactive protein (P < 0.0001) and low HDLâcholesterol (P = 0.02) as compared to those with lower risk score for PCOS.ConclusionsWe propose a simple fourâvariable 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
Effectiveness of electroacupuncture for polycystic ovary syndrome: study protocol for a randomized controlled trial
Developmental programming: rescuing disruptions in preovulatory follicle growth and steroidogenesis from prenatal testosterone disruption
Altered microRNAs expression profiling in cumulus cells from patients with polycystic ovary syndrome
Fasting and post-prandial glucagon like peptide 1 and oral contraception in polycystic ovary syndrome
Overweight and high serum total cholesterol were risk factors for the outcome of IVF/ICSI cycles in PCOS patients and a PCOS-specific predictive model of live birth rate was established
Women's Perceptions of Polycystic Ovary Syndrome Following Participation in a Clinical Research Study: Implications for Knowledge, Feelings, and Daily Health Practices
Association of Rs13405728, Rs12478601, and Rs2479106 single nucleotide polymorphisms and in vitro fertilization and embryo transfer efficacy in patients with polycystic ovarian syndrome: A case control genome-wide association study
Development of a novel risk prediction and risk stratification score for polycystic ovary syndrome
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