Analysis of the necessity to integrate metabolic indices into diagnosis of polycystic ovary syndrome
10.3760/cma.j.issn.1008-6706.2016.21.007
- VernacularTitle:多囊卵巢综合征诊断中纳入代谢指标的必要性分析
- Author:
Mei QIU
;
Tingting JIANG
;
Xiaoyi LI
;
Jing PAN
;
Ying SU
- Publication Type:Journal Article
- Keywords:
Polycystic ovary syndrome;
Classification;
ROC curve
- From:
Chinese Journal of Primary Medicine and Pharmacy
2016;23(21):3225-3229
- CountryChina
- Language:Chinese
-
Abstract:
Objective To discuss whether it is necessary to integrate metabolic indices into diagnosis of polycystic ovary syndrome(PCOS).Methods Taking ESHRE /ASRM diagnosis standard as gold standard,the case group composed of 51 women with PCOS and the control group composed of 47 women without PCOS were selected.By using classification tree C5.0,significant variables chosen by single factor analysis were used to establish a new diagnostic model which combined reproductive indices and metabolic indices.The validity and reliability of the new diagnostic model by using ROC curve analysis were evaluated.Finally,the consistence and difference between the new diagnostic model and the gold standard were analyzed.Results Single factor analysis chose 13 significant variables. ROC analysis showed an area under the curve of 0.930(P =0.000)and the optimal cut -off point was 0.190 with a sensitivity of 94.10%,a specificity of 91.50% and a consistency of 92.86%,which told us the new diagnostic model had superior validity and reliability.The two diagnostic methods had excellent consistence (Kappa =0.857,P =0.000)and there was no statistically significant difference (P =1.000).Conclusion Considering that whether metabolic indices are integrated into diagnosis of PCOS doesn′t change the diagnosis result,and it is unnecessary to integrate metabolic indices into diagnosis of PCOS.
