Frailty is associated with poor prognosis after resection for pancreatic cancer

Int J Clin Oncol. 2021 Oct;26(10):1938-1946. doi: 10.1007/s10147-021-01983-z. Epub 2021 Jul 7.

Abstract

Background: With population aging, the number of frail patients with pancreatic cancer has increased. The Clinical Frailty Scale (CFS) is a simple and validated tool to assess frailty, and higher scores predict worse clinical outcomes after cardiovascular surgery. In this retrospective study, we aimed to examine the association of preoperative frailty with prognosis after resection for pancreatic cancer.

Methods: We retrospectively analyzed data from 142 consecutive patients undergoing resection for pancreatic cancer between April 2010 and December 2018. We used the CFS: 1 (very fit) to 9 (terminally ill) to assess frailty and examined associations of the CFS scores with recurrence-free survival (RFS), cancer-specific survival (CSS), and overall survival (OS). Multivariable Cox proportional hazards models were used to calculate hazard ratios (HRs), controlling for potential confounders.

Results: Of the 142 patients, 113 (80%) had CFS scores of ≤ 3, 13 (9.2%) scores of 4, and 16 (11%) scores of ≥ 5. Scores of ≥ 5 on the CFS were associated with worse CSS (univariable HR: 2.62, 95% confidence interval [CI]: 1.19-5.18, P = 0.019; multivariable HR: 2.49, 95% CI 1.05-5.34, P = 0.039) and OS (univariable HR: 2.42, 95% CI 1.19-4.46, P = 0.016; multivariable HR: 2.25, 95% CI 1.05-4.43, P = 0.038). The association between CFS scores and RFS was not significant in multivariable analysis (univariable HR: 2.11, 95% CI 1.08-3.79, P = 0.030; multivariable HR: 1.47, 95% CI 0.71-2.83, P = 0.29).

Conclusion: Higher scores on the CFS are associated with worse CSS and OS after resection for pancreatic cancer. Preoperative measurement of frailty may improve risk assessment among patients with pancreatic cancer.

Keywords: Geriatrics; Morbidity; Oncology; Pre-habilitation; Rehabilitation.

MeSH terms

  • Frailty*
  • Humans
  • Pancreatic Neoplasms* / surgery
  • Prognosis
  • Proportional Hazards Models
  • Retrospective Studies