基于盆底压力评估构建中重度阴道松弛症的预测模型.pdf
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1、中国医疗美容第14卷 第2期(总第126期)2024年2月中国医疗美容第14卷 第2期(总第126期)2024年2月中国医疗美容中国医疗美容第14卷 第2期(总第126期)2024第14卷 第2期(总第126期)2024年2月年2月China Medical Cosmetology China Medical Cosmetology Vol.14 No.2(Total No.126Vol.14 No.2(Total No.126)FebFeb.20242024China Medical Cosmetology China Medical Cosmetology Vol.14 No.2(Tota
2、l No.126Vol.14 No.2(Total No.126)FebFeb.20242024整形修复基于盆底压力评估构建中重度阴道松弛症的预测模型基于盆底压力评估构建中重度阴道松弛症的预测模型杜俊晓杜俊晓1 1,史雅静,史雅静1 1,屈 敏,屈 敏2 2,李 蕾,李 蕾1 1,王俊耐,王俊耐1 1,奈嫚嫚,奈嫚嫚1 1,王鲁文,王鲁文1,21,2(1.1.郑州大学第三附属医院盆底重建科,河南郑州大学第三附属医院盆底重建科,河南 郑州,郑州,450052450052;2.2.郑州大学第三附属医院医疗美容科,河南郑州大学第三附属医院医疗美容科,河南 郑州,郑州,450052)450052)【摘
3、【摘 要】要】目的目的 探讨发生中重度阴道松弛综合症(Vaginal Laxity syndrome,VLS)的危险因素并构建预测模型。探讨发生中重度阴道松弛综合症(Vaginal Laxity syndrome,VLS)的危险因素并构建预测模型。方法方法 收集郑 收集郑州大学第三附属医院 2021 年 5 月至 2023 年 5 月期间盆底重建门诊及住院部患者的盆底压力评估数据(共 948 例),采用单州大学第三附属医院 2021 年 5 月至 2023 年 5 月期间盆底重建门诊及住院部患者的盆底压力评估数据(共 948 例),采用单因素分析及 logistic 回归分析发生中重度阴道松弛
4、的影响因素,构建中重度 VLS 预测模型并进行内部验证。另外收集 2023 年因素分析及 logistic 回归分析发生中重度阴道松弛的影响因素,构建中重度 VLS 预测模型并进行内部验证。另外收集 2023 年6月至8月的数据(共143例)进行外部验证。6月至8月的数据(共143例)进行外部验证。结果结果 纳入发生中度及重度阴道松弛综合征的患者共534例。其中年龄(OR=0.951,纳入发生中度及重度阴道松弛综合征的患者共534例。其中年龄(OR=0.951,95%CI:0.9350.967,P0.001)、有一次或多次顺娩史的女性(OR=7.419,95%CI:4.71911.692,P0
5、.001;OR=12.329,95%CI:0.9350.967,P0.001)、有一次或多次顺娩史的女性(OR=7.419,95%CI:4.71911.692,P0.001;OR=12.329,95%CI:7.32420.754,P0.001)、有一次或多次剖娩史的女性(OR=1.697,95%CI:1.0832.659,P=0.021;OR=3.136,95%CI:7.32420.754,P0.001)、有一次或多次剖娩史的女性(OR=1.697,95%CI:1.0832.659,P=0.021;OR=3.136,95%CI:1.7385.659,P0.001)、POP(OR=2.845,9
6、5%CI:2.0293.987,P0.001)、子宫切除术(OR=0.094,95%CI:0.0250.352,95%CI:1.7385.659,P0.001)、POP(OR=2.845,95%CI:2.0293.987,P0.001)、子宫切除术(OR=0.094,95%CI:0.0250.352,P0.001);后静息阶段平均值(OR=1.135,95%CI:1.0851.219,P=0.002)与是否发生中重度 VLS 有关,基于以上因素构建P0.001);后静息阶段平均值(OR=1.135,95%CI:1.0851.219,P=0.002)与是否发生中重度 VLS 有关,基于以上因素构
7、建了中度以上 VLS 的风险预测模型。建模组经内部验证的校正 C index 为 0.729,建模组和验证组的 ROC 曲线的 C index 分别了中度以上 VLS 的风险预测模型。建模组经内部验证的校正 C index 为 0.729,建模组和验证组的 ROC 曲线的 C index 分别为 0.788 和 0.807。两组的 DCA 曲线分析显示该模型在建模组中的阈值概率 20%90%,在验证组中从 40%100%受益,提示为 0.788 和 0.807。两组的 DCA 曲线分析显示该模型在建模组中的阈值概率 20%90%,在验证组中从 40%100%受益,提示该模型具有良好的区分度和一
8、致性,有较好的临床价值。该模型具有良好的区分度和一致性,有较好的临床价值。结论结论 本研究构建的中度及重度 VLS 发生的风险预测模型,可在一定 本研究构建的中度及重度 VLS 发生的风险预测模型,可在一定程度指导临床实际工作,给予患者相应的诊疗建议,为 VLS 的预防提供了理论支持。程度指导临床实际工作,给予患者相应的诊疗建议,为 VLS 的预防提供了理论支持。【关键词】【关键词】阴道松弛综合症;盆底器官脱垂;列线图;预测模型;验证阴道松弛综合症;盆底器官脱垂;列线图;预测模型;验证DOI:DOI:10.19593/j.issn.2095-0721.2024.02.01310.19593/j
9、.issn.2095-0721.2024.02.013Constructing a predictive model for moderate to severe Vaginal Laxity syndrome based on Constructing a predictive model for moderate to severe Vaginal Laxity syndrome based on pelvic floor pressure assessmentpelvic floor pressure assessmentDU Jun-xiaoDU Jun-xiao1 1,SHI Ya-
10、jing,SHI Ya-jing1 1,QU Min,QU Min2 2,LI Lei,LI Lei1 1,WANG Jun-nai,WANG Jun-nai1 1,NAI Man-man,NAI Man-man1 1,WANG Lu-wen,WANG Lu-wen1 1,2 2(1 1.Department of Pelvic Floor Reconstruction,the Third Affiliated Hospital of Zhengzhou University,Henan Province,450052,Department of Pelvic Floor Reconstruc
11、tion,the Third Affiliated Hospital of Zhengzhou University,Henan Province,450052,ChinaChina;2.Medical Beauty Department of the Third Affiliated Hospital of Zhengzhou University,Henan Province,450052,China2.Medical Beauty Department of the Third Affiliated Hospital of Zhengzhou University,Henan Provi
12、nce,450052,China)ABSTRACTABSTRACT Objective Objective To explore the risk factors for moderate to severe vaginal laxity syndrome(VLS)and build a prediction To explore the risk factors for moderate to severe vaginal laxity syndrome(VLS)and build a prediction model.model.MethodsMethods The pelvic floo
13、r pressure assessment data of patients in the pelvic floor reconstruction outpatient and inpatient The pelvic floor pressure assessment data of patients in the pelvic floor reconstruction outpatient and inpatient departments of the Third Affiliated Hospital of Zhengzhou University from May 2021 to M
14、ay 2023 were collected(a total of 948 departments of the Third Affiliated Hospital of Zhengzhou University from May 2021 to May 2023 were collected(a total of 948 cases),and univariate analysis and logistic regression were used to analyze the occurrence of moderate to severe cases.Factors cases),and
15、 univariate analysis and logistic regression were used to analyze the occurrence of moderate to severe cases.Factors affecting vaginal laxity,a prediction model for moderate to severe VLS was constructed and internally verified.In addition,data from affecting vaginal laxity,a prediction model for mo
16、derate to severe VLS was constructed and internally verified.In addition,data from June to August 2023(143 cases in total)were collected for external verification.June to August 2023(143 cases in total)were collected for external verification.ResultsResults Moderate and severe vaginal relaxation Mod
17、erate and severe vaginal relaxation syndrome occurred in 534 cases.Among them,women with age(OR=0.951,95%CI;0.9350.967,P0.001)and women with one or syndrome occurred in 534 cases.Among them,women with age(OR=0.951,95%CI;0.9350.967,P0.001)and women with one or more vaginal births(OR=7.419,95%CI:4.719
18、11.692,P0.001;OR=12.329,95%CI:7.32420.754,P0.001),women with one or more more vaginal births(OR=7.419,95%CI:4.71911.692,P0.001;OR=12.329,95%CI:7.32420.754,P0.001),women with one or more cesarean deliveries(OR=1.697,95%CI:1.0832.659,P=0.021;OR=3.136,95%CI:1.7385.659,P0.001),POP(OR=2.845,95%CI:2.0cesa
19、rean deliveries(OR=1.697,95%CI:1.0832.659,P=0.021;OR=3.136,95%CI:1.7385.659,P0.001),POP(OR=2.845,95%CI:2.0293.987,P0.001),hysterectomy(OR=0.094,95%CI:0.0250.352,P0.001);the average value of the post-resting phase(OR=1.135,293.987,P0.001),hysterectomy(OR=0.094,95%CI:0.0250.352,P0.001);the average val
20、ue of the post-resting phase(OR=1.135,95%CI;1.0851.219,P=0.002)is related to whether moderate to severe VLS occurs.Based on the above factors,a risk prediction model 95%CI;1.0851.219,P=0.002)is related to whether moderate to severe VLS occurs.Based on the above factors,a risk prediction model for mo
21、derate or above VLS was constructed,and the modeling team was internally verified The corrected C index is 0.729,and the C for moderate or above VLS was constructed,and the modeling team was internally verified The corrected C index is 0.729,and the C index of the ROC curves of the modeled group and
22、 the modeled group are 0.788 and 0.807 respectively.DCA curve analysis of the two index of the ROC curves of the modeled group and the modeled group are 0.788 and 0.807 respectively.DCA curve analysis of the two groups shows that the model has a threshold probability of 20%to 90%in the modeling grou
23、p and benefits from 40%to 100%in the groups shows that the model has a threshold probability of 20%to 90%in the modeling group and benefits from 40%to 100%in the validation group,suggesting that the model has good discrimination and consistency.It has good clinical value.validation group,suggesting
24、that the model has good discrimination and consistency.It has good clinical value.ConclusionConclusion The risk The risk prediction model for moderate and severe VLS constructed in this study can guide clinical practice to a certain extent,provide patients prediction model for moderate and severe VL
25、S constructed in this study can guide clinical practice to a certain extent,provide patients with corresponding diagnosis and treatment suggestions,and provide theoretical support for the prevention of VLS.with corresponding diagnosis and treatment suggestions,and provide theoretical support for the
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- 基于 压力 评估 构建 重度 阴道 松弛 预测 模型
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