Analysis of factors associated with lower urinary tract symptoms in middle-aged and elderly women and the construction of a nomogram model for risk prediction
10.3760/cma.j.issn.0254-9026.2022.09.013
- VernacularTitle:中老年女性下尿路症状相关因素分析及风险列线图模型的构建
- Author:
Jishi LIU
1
;
Shiqi PAN
;
Yisu LI
;
Nannan LI
;
Min LU
;
Yumeng LEI
;
Kaiqian ZHANG
;
Xue HE
Author Information
1. 中南大学湘雅三医院健康管理中心，长沙 410083
- Keywords:
Lower urinary tract symptoms;
Risk factors;
Nomograms
- From:
Chinese Journal of Geriatrics
2022;41(9):1081-1086
- CountryChina
- Language:Chinese
-
Abstract:
Objective:By analyzing factors associated with lower urinary tract symptoms in middle-aged and elderly women aged 55-65 years old, a nomogram model for lower urinary tract symptoms was constructed to assist the clinical development of targeted interventions to reduce the incidence of lower urinary tract symptoms in this population.Methods:In the cross-sectional study, 798 middle-aged and elderly women aged 55-65 years receiving physical examination in the Health Management Center of Third Xiangya Hospital from November 2013 to December 2020 were selected as research participants.Univariate regression analysis was used to compare differences in the basic data related to lower urinary tract symptoms in the population.Multivariate Logistic regression analysis was used to identify related influencing factors, and a nomogram model for lower urinary tract symptoms in the population was established.Results:Among 798 middle-aged and elderly women surveyed, the prevalence of lower urinary tract symptoms was 81.08 %(647 cases), and the rate of urinary tract infections was 21.48 %(139 cases). Variables with statistical significance in univariate regression analysis were included in multivariate Logistic regression analysis.The results showed that body mass index, vaginal delivery, strength of pelvic floor type Ⅱ fiber muscle, pelvic and abdominal coordination and mental health were independent influencing factors for lower urinary tract symptoms in middle-aged and elderly women aged 55-65 years( OR=1.099, 2.681, 0.895, 0.658, 1.057, P=0.010, 0.030, 0.040, 0.010, 0.038). The monogram model based on the five risk prediction indexes produced a consistency index(C-index)of 0.651 and a diagnostic sensitivity and specificity of 66.9% and 58.9%, respectively.The correction curve showed that the predicted results of the model were essentially the same as the actual probability of condition. Conclusions:In this study, the independent influencing factors for lower urinary tract symptoms in middle-aged and elderly women aged 55-65 years were screened by univariate regression and multivariate Logistic regression analysis and a nomogram model for risk prediction of the population was constructed, was proved to have a good ability for accurately and effectively predicting the risk of lower urinary tract symptoms in middle-aged and elderly women aged 55-65 years, and will assist clinicians to screen for high-risk patients, formulate targeted interventions, and reduce the incidence of lower urinary tract symptoms in middle-aged and elderly women aged 55-65 years.
