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To establish a depression prediction model for adolescents with Polycystic Ovary Syndrome (PCOS) and validate the model.
Patients’ data were collected from the gynecological clinic of Affiliated Hospital of Zunyi Medical University according to the item pool of risk factors for depression in adolescents with PCOS. Data collected between October 2021 and September 2022. In this study, R software (version 4.2.1) was used to perform regression analysis by the least absolute shrinkage and selection operator (LASSO), so as to screen out strong risk factors related to depression in adolescents with PCOS. These risk factors were then incorporated into logistic regression to develop a depression warning model in adolescents with PCOS. The model has been visualized by nomogram and has been verified both internally and externally. The predicted effect of the model was evaluated through discrimination, specificity and sensitivity. Decision curve analysis was used to analyze the clinical effect of the model.
The model was as follows: depression risk=1/(1+exp-(-4.055+0.221×sleep+0.729×hormonal contraceptive use+0.920 ×hirsutism+0.079×illness perception -0.058×social support+1.049×(luteinizing hormone/follicle stimulating hormone)≥2)). The area under the ROC curve for this model was 0.881. The optimal cut-off value on the ROC curve was 0.278, corresponding to a high specificity and sensitivity of 76.2% and 88.0%, respectively. The corrected area under the ROC curve obtained was 0.867. In addition, the result of decision curve analysis showed that the model could provide effective evidence support for clinical decision-making. The area under the ROC curve obtained from external validation was 0.871.
In this study, an early warning model of depression risk in adolescents with PCOS was constructed. It can effectively identify people at high risk of depression in adolescents with PCOS at an early stage, thus providing a theoretical basis for the implementation of comprehensive and effective risk prevention measures.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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