Analysis of the Trajectory of Psychological Resilience in Patients After Transurethral Resection of Bladder Tumor (TURBT)
Abstract：Objective To analyze the trajectory of psychological resilience in patients after transurethral resection of bladder tumor (TURBT) using latent class growth modeling (LCGM). Methods A total of 214 bladder cancer patients treated at the First Affiliated Hospital of Soochow University from January 2020 to August 2024 were selected. All patients received TURBT and the Connor-Davidson Resilience Scale (CD-RISC) assessment. LCGM was used to analyze the trajectory of psychological resilience, and multiple linear regression was used to identify factors influencing psychological resilience. Results The total scores of CD-RISC before surgery and at 1, 3, and 6 months post-surgery were (54.76±4.78), (60.78±6.69), (55.74±5.47), and (53.32±4.31) points, respectively. LCGM identified three classification trajectories as the optimal model, divided into the vulnerable group, stable group, and growth group. There were statistically significant differences in the total CD-RISC scores among the three groups before and after surgery at 1, 3, and 6 months (P < 0.05). At 6 months post-surgery, there were statistically significant differences in CD-RISC scores among patients with different levels of education, metastasis, social support, and family function (P < 0.05). Education level, social support, and family function were protective factors for psychological resilience after bladder cancer surgery, while metastasis was a risk factor (P < 0.05). Conclusion The evolution of psychological resilience after TURBT for bladder cancer shows group differences. Clinically, dynamic assessment should be used to promptly identify individual trajectory types (vulnerable/stable/growth) and implement tailored psychological intervention plans.
Keywords：Bladder tumor%Transurethral resection of bladder tumor%Psychological resilience%Latent class growth model
Publication Date：2025-10-15
Online Publishing Date：2025-11-27(First online date of this platform, not the publication date of the document)
Pages：4( 18-21 )