Development and validation of a predictive model of abnormal uterine bleeding associated with ovulatory dysfunction: a case-control study
Abstract Background Abnormal uterine bleeding associated with ovulatory dysfunction (AUB-O) is a typical gynecological disease that can affect women of various ages. Being able to identify women at risk of AUB-O could allow physicians to take timely action. This study aimed to identify the influenci...
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| Format: | Article |
| Language: | English |
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BMC
2023-10-01
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| Series: | BMC Women's Health |
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| Online Access: | https://doi.org/10.1186/s12905-023-02589-5 |
| _version_ | 1827708618296786944 |
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| author | Yue Zhang Zhou Luo Yingxian Jia Yunxiu Zhao Yizhou Huang Fei Ruan Qian Ying Linjuan Ma Jie Luo Jianhong Zhou |
| author_facet | Yue Zhang Zhou Luo Yingxian Jia Yunxiu Zhao Yizhou Huang Fei Ruan Qian Ying Linjuan Ma Jie Luo Jianhong Zhou |
| author_sort | Yue Zhang |
| collection | DOAJ |
| description | Abstract Background Abnormal uterine bleeding associated with ovulatory dysfunction (AUB-O) is a typical gynecological disease that can affect women of various ages. Being able to identify women at risk of AUB-O could allow physicians to take timely action. This study aimed to identify the influencing factors of AUB-O in Chinese women, and then develop and validate a predictive model. Methods In this multicenter case–control study, 391 women with AUB-O and 838 controls who came from nine hospitals in Zhejiang province were recruited between April 2019 and January 2022. All the participants completed a structured questionnaire including general characteristics, lifestyle and habits, menstrual and reproductive history, and previous diseases. The predictive model was developed on a group of 822 women and validated on a group of 407 women. Logistic regression was adopted to investigate the influencing factors and develop the model, and validation was then performed. Results The independent predictive factors of AUB-O were age (OR 1.073, 95% CI 1.046—1.102, P < 0.001), body mass index (OR 1.081, 95% CI 1.016—1.151, P = 0.015), systolic blood pressure (OR 1.016, 95% CI 1.002—1.029, P = 0.023), residence (OR 2.451, 95% CI 1.727—3.478, P < 0.001), plant-based diet (OR 2.306, 95% CI 1.415—3.759, P < 0.001), fruits eating (OR 1.887, 95% CI 1.282—2.776, P = 0.001), daily sleep duration (OR 0.819; 95% CI 0.708—0.946, P = 0.007), multiparous (parity = 1, OR 0.424, 95% CI 0.239—0.752, P = 0.003; parity > 1, OR 0.450, 95% CI 0.247—0.822, P = 0.009), and history of ovarian cyst (OR 1.880, 95% CI 1.305—2.710, P < 0.001). The predictive ability (area under the curve) in the development group was 0.77 (95% CI 0.74—0.81), while in the validation group it was 0.73 (95% CI 0.67—0.79). The calibration curve was in high coincidence with the standard curve in the development group, and similar to the validation group. A tool for AUB-O risk calculation was created. Conclusions Nine influencing factors and a predictive model were proposed in this study, which could identify women who are at high risk of developing AUB-O. This finding highlights the importance of early screening and the lifelong management of ovulatory disorders for women. |
| first_indexed | 2024-03-10T17:07:06Z |
| format | Article |
| id | doaj.art-a398bfb63c8848db996fbd9389b35632 |
| institution | Directory Open Access Journal |
| issn | 1472-6874 |
| language | English |
| last_indexed | 2024-03-10T17:07:06Z |
| publishDate | 2023-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Women's Health |
| spelling | doaj.art-a398bfb63c8848db996fbd9389b356322023-11-20T10:46:59ZengBMCBMC Women's Health1472-68742023-10-012311910.1186/s12905-023-02589-5Development and validation of a predictive model of abnormal uterine bleeding associated with ovulatory dysfunction: a case-control studyYue Zhang0Zhou Luo1Yingxian Jia2Yunxiu Zhao3Yizhou Huang4Fei Ruan5Qian Ying6Linjuan Ma7Jie Luo8Jianhong Zhou9Women’s Hospital, Zhejiang University School of MedicineWomen’s Hospital, Zhejiang University School of MedicineGuizhou Provincial People’s HospitalWomen’s Hospital, Zhejiang University School of MedicineWomen’s Hospital, Zhejiang University School of MedicineWomen’s Hospital, Zhejiang University School of MedicineZhejiang Cancer HospitalWomen’s Hospital, Zhejiang University School of MedicineWomen’s Hospital, Zhejiang University School of MedicineWomen’s Hospital, Zhejiang University School of MedicineAbstract Background Abnormal uterine bleeding associated with ovulatory dysfunction (AUB-O) is a typical gynecological disease that can affect women of various ages. Being able to identify women at risk of AUB-O could allow physicians to take timely action. This study aimed to identify the influencing factors of AUB-O in Chinese women, and then develop and validate a predictive model. Methods In this multicenter case–control study, 391 women with AUB-O and 838 controls who came from nine hospitals in Zhejiang province were recruited between April 2019 and January 2022. All the participants completed a structured questionnaire including general characteristics, lifestyle and habits, menstrual and reproductive history, and previous diseases. The predictive model was developed on a group of 822 women and validated on a group of 407 women. Logistic regression was adopted to investigate the influencing factors and develop the model, and validation was then performed. Results The independent predictive factors of AUB-O were age (OR 1.073, 95% CI 1.046—1.102, P < 0.001), body mass index (OR 1.081, 95% CI 1.016—1.151, P = 0.015), systolic blood pressure (OR 1.016, 95% CI 1.002—1.029, P = 0.023), residence (OR 2.451, 95% CI 1.727—3.478, P < 0.001), plant-based diet (OR 2.306, 95% CI 1.415—3.759, P < 0.001), fruits eating (OR 1.887, 95% CI 1.282—2.776, P = 0.001), daily sleep duration (OR 0.819; 95% CI 0.708—0.946, P = 0.007), multiparous (parity = 1, OR 0.424, 95% CI 0.239—0.752, P = 0.003; parity > 1, OR 0.450, 95% CI 0.247—0.822, P = 0.009), and history of ovarian cyst (OR 1.880, 95% CI 1.305—2.710, P < 0.001). The predictive ability (area under the curve) in the development group was 0.77 (95% CI 0.74—0.81), while in the validation group it was 0.73 (95% CI 0.67—0.79). The calibration curve was in high coincidence with the standard curve in the development group, and similar to the validation group. A tool for AUB-O risk calculation was created. Conclusions Nine influencing factors and a predictive model were proposed in this study, which could identify women who are at high risk of developing AUB-O. This finding highlights the importance of early screening and the lifelong management of ovulatory disorders for women.https://doi.org/10.1186/s12905-023-02589-5Abnormal uterine bleeding associated with ovulatory dysfunctionHeavy menstrual bleedingInfluencing factorsPredictive model |
| spellingShingle | Yue Zhang Zhou Luo Yingxian Jia Yunxiu Zhao Yizhou Huang Fei Ruan Qian Ying Linjuan Ma Jie Luo Jianhong Zhou Development and validation of a predictive model of abnormal uterine bleeding associated with ovulatory dysfunction: a case-control study BMC Women's Health Abnormal uterine bleeding associated with ovulatory dysfunction Heavy menstrual bleeding Influencing factors Predictive model |
| title | Development and validation of a predictive model of abnormal uterine bleeding associated with ovulatory dysfunction: a case-control study |
| title_full | Development and validation of a predictive model of abnormal uterine bleeding associated with ovulatory dysfunction: a case-control study |
| title_fullStr | Development and validation of a predictive model of abnormal uterine bleeding associated with ovulatory dysfunction: a case-control study |
| title_full_unstemmed | Development and validation of a predictive model of abnormal uterine bleeding associated with ovulatory dysfunction: a case-control study |
| title_short | Development and validation of a predictive model of abnormal uterine bleeding associated with ovulatory dysfunction: a case-control study |
| title_sort | development and validation of a predictive model of abnormal uterine bleeding associated with ovulatory dysfunction a case control study |
| topic | Abnormal uterine bleeding associated with ovulatory dysfunction Heavy menstrual bleeding Influencing factors Predictive model |
| url | https://doi.org/10.1186/s12905-023-02589-5 |
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