Preoperative risk stratification models after radical cystectomy for bladder cancer: A multi‐center study

Objective We investigated preoperative patient factors associated with prognosis in 263 bladder cancer (BC) patients undergoing radical cystectomy (RC). We also developed new risk stratification models for prognosis. Methods This retrospective study included patients treated at Tottori University Ho...

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Veröffentlicht in:International journal of urology 2024-11, Vol.31 (11), p.1278-1287
Hauptverfasser: Yamane, Hiroshi, Morizane, Shuichi, Honda, Masashi, Muraoka, Kuniyasu, Oono, Hirofumi, Isoyama, Tadahiro, Ono, Koji, Sejima, Takehiro, Kadowaki, Hiroyuki, Takenaka, Atsushi
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Sprache:eng
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Zusammenfassung:Objective We investigated preoperative patient factors associated with prognosis in 263 bladder cancer (BC) patients undergoing radical cystectomy (RC). We also developed new risk stratification models for prognosis. Methods This retrospective study included patients treated at Tottori University Hospital and affiliated hospitals between January 2010 and December 2019. The relationship between preoperative patient factors and overall recurrence‐free and cancer‐specific survival (CSS) was analyzed. The modified Glasgow prognosis score (mGPS) was calculated using serum albumin and C‐reactive protein (CRP) levels. Statistical analyses included the log‐rank test and Cox proportional hazards regression. Results Eastern Cooperative Oncology Group performance status (ECOG‐PS), mGPS, and clinical tumor stage independently predicted CSS in multivariate analysis. A new risk stratification model included ECOG‐PS ≥2, clinical tumor stage ≥3, serum albumin 0.5 mg/dL. Risk groups were defined as 0 factors (low risk), 1–2 factors (intermediate risk), and 3–4 factors (high risk). High‐risk patients showed significantly poorer 3‐year cancer‐free survival: 86.9% (low risk), 76.7% (intermediate risk), and 50.0% (high risk). Conclusions ECOG‐PS, clinical tumor stage, and mGPS are predictive of poor cancer‐free survival post‐RC for BC. Our model offers the potential for prognostic prediction in these patients.
ISSN:0919-8172
1442-2042
1442-2042
DOI:10.1111/iju.15560