Current Oncology (Aug 2024)

A Novel Frailty Index Can Predict the Short-Term Outcomes of Esophagectomy in Older Patients with Esophageal Cancer

  • Thomas Boerner,
  • Marisa Sewell,
  • Amy L. Tin,
  • Andrew J. Vickers,
  • Caitlin Harrington-Baksh,
  • Manjit S. Bains,
  • Matthew J. Bott,
  • Bernard J. Park,
  • Smita Sihag,
  • David R. Jones,
  • Robert J. Downey,
  • Armin Shahrokni,
  • Daniela Molena

DOI
https://doi.org/10.3390/curroncol31080349
Journal volume & issue
Vol. 31, no. 8
pp. 4685 – 4694

Abstract

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Background: Frailty, rather than age, is associated with postoperative morbidity and mortality. We sought to determine whether preoperative frailty as defined by a novel scoring system could predict the outcomes among older patients undergoing esophagectomy. Methods: We identified patients 65 years or older who underwent esophagectomy between 2011 and 2021 at our institution. Frailty was assessed using the MSK-FI, which consists of 1 component related to functional status and 10 medical comorbidities. We used a multivariable logistic regression model to test for the associations between frailty and short-term outcomes, with continuous frailty score as the predictor and additionally adjusted for age and Eastern Cooperative Oncology Group performance status. Results: In total, 447 patients were included in the analysis (median age of 71 years [interquartile range, 68–75]). Most of the patients underwent neoadjuvant treatment (81%), an Ivor Lewis esophagectomy (86%), and minimally invasive surgery (55%). A total of 22 patients (4.9%) died within 90 days of surgery, 144 (32%) had a major complication, 81 (19%) were readmitted, and 31 (7.2%) were discharged to a facility. Of the patients who died within 90 days, 19 had a major complication, yielding a failure-to-rescue rate of 13%. The risk of 30-day major complications (OR, 1.24 [95% CI, 1.09–1.41]; p = 0.001), readmissions (OR, 1.31 [95% CI, 1.13–1.52]; p p Conclusions: Frailty assessment during surgery decision-making can identify patients with a high risk of morbidity.

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