Risk Factors and a Predictive Model for the Co-Occurrence of Endometrial Polyps in Patients with Endometriosis: A Retrospective Study
Background: The incidence of endometrial polyps (EPs) is higher in patients with endometriosis (EM) compared to the general population. This study aims to analyze the various indices in EM patients with and without EPs and to establish an effective combined prediction model to pre...
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| Format: | Article |
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IMR Press
2024-11-01
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| Series: | Clinical and Experimental Obstetrics & Gynecology |
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| Online Access: | https://www.imrpress.com/journal/CEOG/51/11/10.31083/j.ceog5111248 |
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| author | Zhi-Min Song Xiao-Jie Wan Jian-Peng Chen Tao Zhang Jie Luo Jian-Hong Zhou Jing-Yi Li |
| author_facet | Zhi-Min Song Xiao-Jie Wan Jian-Peng Chen Tao Zhang Jie Luo Jian-Hong Zhou Jing-Yi Li |
| author_sort | Zhi-Min Song |
| collection | DOAJ |
| description | Background: The incidence of endometrial polyps (EPs) is higher in patients with endometriosis (EM) compared to the general population. This study aims to analyze the various indices in EM patients with and without EPs and to establish an effective combined prediction model to predict the presence of EPs in EM patients. Method: This retrospective study included 1250 EM patients. Logistic regression analysis was employed to develop a combined diagnostic model. Results: Compared to EM patients without EPs, those with EPs had significantly higher age, gravidity, parity, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), luteinizing hormone (LH), estradiol (E2), platelet (PLT), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), fasting plasma glucose (FPG), and significantly lower hemoglobin (HGB) and white blood cells (WBCs) (p < 0.05). After adjusting for potential confounding factors, a prediction model for the presence of EPs in EM patients was developed based on BMI, DBP, gravidity, parity, LH, WBCs, HGB, TC, and FPG. The receiver operating characteristic (ROC) area under the curve (AUC) for the combined diagnostic model was 0.78 (95% confidence interval (95% CI): 0.75–0.82, p < 0.001). The sensitivity, specificity, cut-off value, and Youden index of the model were 77.6%, 66.1%, 0.159, and 0.437, respectively. Conclusions: Metabolic alterations were found to be associated with the presence of EPs in EM patients. The diagnostic model based on these potential risk factors may offer a novel approach for the early diagnosis and targeted treatment of EPs in EM patients. |
| format | Article |
| id | doaj-art-b99da12a05554c088e41156697f1bd7e |
| institution | OA Journals |
| issn | 0390-6663 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | IMR Press |
| record_format | Article |
| series | Clinical and Experimental Obstetrics & Gynecology |
| spelling | doaj-art-b99da12a05554c088e41156697f1bd7e2025-08-20T02:00:29ZengIMR PressClinical and Experimental Obstetrics & Gynecology0390-66632024-11-01511124810.31083/j.ceog5111248S0390-6663(24)02495-3Risk Factors and a Predictive Model for the Co-Occurrence of Endometrial Polyps in Patients with Endometriosis: A Retrospective StudyZhi-Min Song0Xiao-Jie Wan1Jian-Peng Chen2Tao Zhang3Jie Luo4Jian-Hong Zhou5Jing-Yi Li6Department of Obstetrics and Gynecology, Women’s Hospital, Zhejiang University School of Medicine, 310006 Hangzhou, Zhejiang, ChinaDepartment of Obstetrics and Gynecology, Women’s Hospital, Zhejiang University School of Medicine, 310006 Hangzhou, Zhejiang, ChinaDepartment of Obstetrics and Gynecology, Women’s Hospital, Zhejiang University School of Medicine, 310006 Hangzhou, Zhejiang, ChinaDepartment of Obstetrics and Gynecology, Women’s Hospital, Zhejiang University School of Medicine, 310006 Hangzhou, Zhejiang, ChinaDepartment of Obstetrics and Gynecology, Women’s Hospital, Zhejiang University School of Medicine, 310006 Hangzhou, Zhejiang, ChinaDepartment of Obstetrics and Gynecology, Women’s Hospital, Zhejiang University School of Medicine, 310006 Hangzhou, Zhejiang, ChinaDepartment of Obstetrics and Gynecology, Women’s Hospital, Zhejiang University School of Medicine, 310006 Hangzhou, Zhejiang, ChinaBackground: The incidence of endometrial polyps (EPs) is higher in patients with endometriosis (EM) compared to the general population. This study aims to analyze the various indices in EM patients with and without EPs and to establish an effective combined prediction model to predict the presence of EPs in EM patients. Method: This retrospective study included 1250 EM patients. Logistic regression analysis was employed to develop a combined diagnostic model. Results: Compared to EM patients without EPs, those with EPs had significantly higher age, gravidity, parity, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), luteinizing hormone (LH), estradiol (E2), platelet (PLT), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), fasting plasma glucose (FPG), and significantly lower hemoglobin (HGB) and white blood cells (WBCs) (p < 0.05). After adjusting for potential confounding factors, a prediction model for the presence of EPs in EM patients was developed based on BMI, DBP, gravidity, parity, LH, WBCs, HGB, TC, and FPG. The receiver operating characteristic (ROC) area under the curve (AUC) for the combined diagnostic model was 0.78 (95% confidence interval (95% CI): 0.75–0.82, p < 0.001). The sensitivity, specificity, cut-off value, and Youden index of the model were 77.6%, 66.1%, 0.159, and 0.437, respectively. Conclusions: Metabolic alterations were found to be associated with the presence of EPs in EM patients. The diagnostic model based on these potential risk factors may offer a novel approach for the early diagnosis and targeted treatment of EPs in EM patients.https://www.imrpress.com/journal/CEOG/51/11/10.31083/j.ceog5111248endometrial polypsendometriosisprediction model |
| spellingShingle | Zhi-Min Song Xiao-Jie Wan Jian-Peng Chen Tao Zhang Jie Luo Jian-Hong Zhou Jing-Yi Li Risk Factors and a Predictive Model for the Co-Occurrence of Endometrial Polyps in Patients with Endometriosis: A Retrospective Study Clinical and Experimental Obstetrics & Gynecology endometrial polyps endometriosis prediction model |
| title | Risk Factors and a Predictive Model for the Co-Occurrence of Endometrial Polyps in Patients with Endometriosis: A Retrospective Study |
| title_full | Risk Factors and a Predictive Model for the Co-Occurrence of Endometrial Polyps in Patients with Endometriosis: A Retrospective Study |
| title_fullStr | Risk Factors and a Predictive Model for the Co-Occurrence of Endometrial Polyps in Patients with Endometriosis: A Retrospective Study |
| title_full_unstemmed | Risk Factors and a Predictive Model for the Co-Occurrence of Endometrial Polyps in Patients with Endometriosis: A Retrospective Study |
| title_short | Risk Factors and a Predictive Model for the Co-Occurrence of Endometrial Polyps in Patients with Endometriosis: A Retrospective Study |
| title_sort | risk factors and a predictive model for the co occurrence of endometrial polyps in patients with endometriosis a retrospective study |
| topic | endometrial polyps endometriosis prediction model |
| url | https://www.imrpress.com/journal/CEOG/51/11/10.31083/j.ceog5111248 |
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