Optimizing timing for elective surgery in cancer patients following COVID-19 infection; a post-pandemic analysis

Abstract

Introduction

The COVID-19 pandemic introduced challenges including delaying elective surgery. For cancer patients, reducing delays is preferred to prevent unfavorable outcomes. there is a lack of consensus regarding the optimal timing of elective surgery following a SARS-CoV-2. This study aimed to find the optimal time to elective surgery to minimize 30-day postoperative morbidity and mortality.

Methods

This is a retrospective chart review of all adult patients who underwent elective surgery with a confirmed preoperative COVID-19 diagnosis between September 2020 and April 2023. Patients’ elective surgeries delays were examined to determine the optimal time to surgery in terms of postoperative complications. Analysis was controlled for age, ASA score, comorbidities, and smoking status.

Results

358 records examined, 94.7% had delayed surgery and 5.3% had cancelled surgery. The optimal time to surgery was ≥ 17 days to minimize postoperative pulmonary complications [OR: 0.299, p = 0.048], other postoperative complications [OR: 0.459, p = 0.01], and a decrease in length of hospital stay. In multivariate analysis, the only significant predictors for postoperative complications were time to surgery; surgery ≥ 17 days after diagnosis had better postoperative outcomes [p < 0.001], and COVID-19 symptoms status [p = 0.019].

Conclusion

The best time to surgery in this cohort is at least 17 days (or a range of 2–3 weeks) for optimal results. Further research is needed to investigate the effect of such delays on oncological outcomes in this cohort.