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Development and internal validation of a risk prediction model for oral frailty in hospitalized older adults with chronic diseases  期刊论文  

  • 编号:
    08D8FA91BF0052827FEFC1650AE5A000
  • 作者:
    Liu, Huan#[1]Hu, Xinyu[2];Liu, Qingwei[3];Shao, Ming[4];Huang, Xiaohua[4];Gu, Junzhuo[4];Luo, Jingjing(罗菁菁)[5]Fang, Shichang(方世昌)[5]Tao, Xiubin(陶秀彬)[6]Lin, Jiating(林家婷)*[5]Zhang, Ming*[7,8]Dou, Junkai*[9]
  • 语种:
    英文
  • 期刊:
    FRONTIERS IN PUBLIC HEALTH ISSN:2296-2565 2026 年 14 卷 ; JAN 19
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  • 关键词:
  • 摘要:

    Background: This study aimed to investigate the prevalence and influencing factors of oral frailty, a significant geriatric syndrome, among hospitalized older adults with chronic diseases, and to develop a corresponding risk prediction model to facilitate early screening and intervention. Methods: From September 2024 to May 2025, we recruited 443 older adult patients with chronic diseases from two tertiary grade A hospitals in Wuhu City, Anhui Province, using a convenience sampling method. Data were collected using a general information questionnaire, the Oral Frailty Index-8 (OFI-8), the FRAIL scale, the Appetite Scale, and the Clinical Physiological Resilience Scale. Binary logistic regression analysis was conducted to identify factors associated with oral frailty. Results: The prevalence of oral frailty among hospitalized older adult patients with chronic diseases was 69.3%(307/443). Appetite, employment status, age, Clinical physiological resilience, and frailty were the best predictors of oral frailty in hospitalized older adult patients with chronic diseases. These influencing factors were utilized to construct a nomogram model, which demonstrated excellent consistency and accuracy. The area under the curve (AUC) in the training set was 0.805 (95% confidence interval [CI] = 0.753-0.857). In the validation set, the AUC was 0.900 (95% CI = 0.843-0.957). The Hosmer-Lemeshow test values were p = 0.465 and p = 0.161 (both > 0.05). The calibration curve indicated a significant agreement between the nomogram model and the actual observations. Both the ROC curve and decision curve analysis (DCA) demonstrated that the nomogram possesses outstanding risk predictive performance. Conclusion: The prevalence of oral frailty is notably high among hospitalized older adult patients with chronic diseases, with key influencing factors including age, employment status, appetite, and clinical physiological resilience. The developed risk prediction model demonstrates good calibration and discriminative ability, supporting its potential use in early screening and targeted intervention of oral frailty in this population.

  • 推荐引用方式
    GB/T 7714:
    Liu Huan,Hu Xinyu,Liu Qingwei, et al. Development and internal validation of a risk prediction model for oral frailty in hospitalized older adults with chronic diseases [J].FRONTIERS IN PUBLIC HEALTH,2026,14.
  • APA:
    Liu Huan,Hu Xinyu,Liu Qingwei,Shao Ming,&Dou Junkai.(2026).Development and internal validation of a risk prediction model for oral frailty in hospitalized older adults with chronic diseases .FRONTIERS IN PUBLIC HEALTH,14.
  • MLA:
    Liu Huan, et al. "Development and internal validation of a risk prediction model for oral frailty in hospitalized older adults with chronic diseases" .FRONTIERS IN PUBLIC HEALTH 14(2026).
  • 入库时间:
    2/19/2026 9:24:22 PM
  • 更新时间:
    2/19/2026 9:24:23 PM
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