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Background: Currently, there are many clinical markers and models for evaluating ovarian reserve. However, none of them is ideal, especially the ovarian reserve assessment model applied to Chinese women, which needs further research. It is well known that the number of clinical samples is the main factor limiting the specificity and sensitivity of markers and models. At the same time, the traditional method of recruiting subjects requires a lot of time and has a high cost.Purpose: In this study, to explore the possibility of subjects self-reporting through WeChat applets and to provide more data for further optimization of the OvAge model, we developed an ovarian age prediction model for Chinese women.Methods: This study developed an online Ovarian Age（OvAge） calculator based on the WeChat applet and applied a generalized linear model to optimize the ovarian age prediction model that meets the physiological characteristics of Chinese women.Results: Compared with traditional recruitment methods, the online OvAge calculator can collect a large number of subjects in a very short time, which is efficient and convenient. In addition, the optimized formula, OvAge=exp(3.5254-0.001*PRL-0.0231*AMH), is currently a suitable model for ovarian age assessment of healthy Chinese women. We applied the final equation to the healthy population, decreased ovarian reserve (DOR), and polycystic ovary syndrome (PCOS) population datasets. The results show that there is no significant difference between ovarian age and chronological age in healthy people, and the prediction accuracy is high.Conclusion: The OvAge calculator based on the WeChat applet is a new type of online self-report system that can collect a large number of subjects in a short time and can continuously optimize the model and update the applet version. This model is economical and efficient, and it is worthy of [1]promotion. The optimized OvAge model also provides a reference value for the clinical evaluation of ovarian reserve. |
