Protocol for development and validation of a prediction model for 5-year risk of incident overactive bladder in the general population: the Nagahama study.

Background: An accurate prediction model could identify high-risk subjects of incident Overactive bladder (OAB) among the general population and enable early prevention which may save on the related medical costs. However, no efficient model has been developed for predicting incident OAB. In this st...

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Publicado en:BMC Urology Vol. 21; no. 1; pp. 1 - 7
Autores principales: Funada, Satoshi, Luo, Yan, Yoshioka, Takashi, Setoh, Kazuya, Tabara, Yasuharu, Negoro, Hiromitsu, Akamatsu, Shusuke, Yoshimura, Koji, Matsuda, Fumihiko, Furukawa, Toshi A., Efthimiou, Orestis, Ogawa, Osamu
Formato: Journal Article
Publicado: BioMed Central 5/13/2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 5/13/2021
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      pub: BioMed Central
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        10.1186/s12894-021-00848-x
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        atl: Protocol for development and validation of a prediction model for 5-year risk of incident overactive bladder in the general population: the Nagahama study.
      aug:
        au:
          Funada, Satoshi
          Luo, Yan
          Yoshioka, Takashi
          Setoh, Kazuya
          Tabara, Yasuharu
          Negoro, Hiromitsu
          Akamatsu, Shusuke
          Yoshimura, Koji
          Matsuda, Fumihiko
          Furukawa, Toshi A.
          Efthimiou, Orestis
          Ogawa, Osamu
        affil: Department of Urology, Faculty of Medicine, Kyoto University Graduate School of Medicine, 54 Shogoinkawahara-cho, Sakyo-ku, 606-8507, Kyoto, Japan
      sug:
        subj:
          Study Design
          Validation Studies
          Models, Statistical
          Overactive Bladder Epidemiology
          Risk Assessment
          Male
          Time Factors
          Prospective Studies
          Incidence
          Prognosis
          Female
          Scales
          Male
          Female
      ab: Background: An accurate prediction model could identify high-risk subjects of incident Overactive bladder (OAB) among the general population and enable early prevention which may save on the related medical costs. However, no efficient model has been developed for predicting incident OAB. In this study, we will develop a model for predicting the onset of OAB at 5-year in the general population setting.Methods: Data will be obtained from the Nagahama Cohort Project, a longitudinal, general population cohort study. The baseline characteristics were measured between Nov 28, 2008 and Nov 28, 2010, and follow-up was performed every 5 years. From the total of 9,764 participants (male: 3,208, female: 6,556) at baseline, we will exclude participants who could not attend the follow-up assessment and those who were defined as having OAB at baseline. The outcome will be incident OAB defined using the Overactive Bladder Symptom Score (OABSS) at follow-up assessment. Baseline questionnaires (demographic, health behavior, comorbidities and OABSS) and blood test data will be included as predictors. We will develop a logistic regression model utilizing shrinkage methods (LASSO penalization method). Model performance will be evaluated by discrimination and calibration. Net benefit will be evaluated by decision curve analysis. We will perform an internal validation and a temporal validation of the model. We will develop a web-based application to visualize the prediction model and facilitate its use in clinical practice.Discussion: This will be the first study to develop a model to predict the incidence of OAB.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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