Volume 23 Issue 9
Sep.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(9): 1470-1474
YU Shuju, ZHANG Chaonan, TENG Zhimin. A longitudinal study on the trajectory of frailty and its influencing factors in elderly patients with gynecological malignancies[J]. Chinese Journal of General Practice, 2025, 23(9): 1470-1474. doi: 10.16766/j.cnki.issn.1674-4152.004157
Citation: YU Shuju, ZHANG Chaonan, TENG Zhimin. A longitudinal study on the trajectory of frailty and its influencing factors in elderly patients with gynecological malignancies[J]. Chinese Journal of General Practice, 2025, 23(9): 1470-1474. doi: 10.16766/j.cnki.issn.1674-4152.004157
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A longitudinal study on the trajectory of frailty and its influencing factors in elderly patients with gynecological malignancies

doi: 10.16766/j.cnki.issn.1674-4152.004157

  • Department of Gynecology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China

Funds:

 2023KY142

 Y2020485

  • Received Date: 2025-01-13
    Available Online: 2025-11-17
    Abstract
  •   Objective  To explore the changes in frailty levels among patients diagnosed with gynecological malignancies by following up and provide a valuable reference point for the clinical management of frailty.  Methods  A total of 223 gynecological malignancies patients were collected from the First Affiliated Hospital of Wenzhou Medical University between November 2022 and April 2024, through the utilization of convenience sampling. Demographic data, frailty, nutritional status and depression assessment was conducted on the 1st or 2nd day following hospitalization (T0). At one month (T1), three months (T2) and six months (T3) after T0, patients were re-evaluated for frailty through outpatient or inpatient visits.  Results  The incidence of frailty at the four respective time points was found to be 33.2% (74/223), 35.0% (78/223), 36.3% (81/223) and 31.8% (71/223), respectively. It is possible to categorize the data into four potential trajectory categories: "low level frailty-stable group" (24.2%), "low level frailty-first rise then decline group" (4.9%), "moderate level frailty-slow decline group" (39.9%), and "moderate level frailty e-slow rise group" (30.9%). Religious beliefs, the number of chronic diseases comorbidity, nutritional status and depressive symptoms were the influencing factors of potential trajectory categories of frailty changes.  Conclusion  Health workers should judge the trajectory of the patient' s decline as early as possible, fully respect for patients' beliefs, guidance towards positive changes in life and behavior, regularly conduct psychological and nutritional assessments and interventions, and manage comorbidities is also crucial to prevent the continuous progression of frailty.

     

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