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A retrospective study on influencing factors of postoperative hospital stay and development of a predictive scoring

Jinyi Zhou1, Dongyang He1, Hui Yao2

  • 1Department of Gastrointestinal Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China.

Frontiers in Surgery
|December 15, 2025
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Summary

A new scoring model predicts hospital stay for elderly colorectal cancer (CRC) patients after laparoscopic surgery. This tool helps manage resources by identifying patients at higher risk for prolonged stays due to complications or comorbidities.

Keywords:
Cox regression analysiselderly colorectal cancerlaparoscopic radical resectionpostoperative hospital staypredictive model

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Area of Science:

  • Geriatric Medicine
  • Surgical Oncology
  • Health Services Research

Background:

  • The global population is aging, leading to an increase in elderly patients undergoing colorectal cancer (CRC) surgery.
  • Laparמושפעות radical resection is a common procedure for CRC in older adults.
  • Predicting postoperative hospital stay duration in this demographic remains challenging due to significant individual variations.

Purpose of the Study:

  • To develop and validate a simplified predictive scoring model for postoperative hospital stay.
  • To aid in clinical decision-making and resource allocation for elderly CRC patients.
  • To identify key factors influencing hospital stay after laparoscopic CRC surgery.

Main Methods:

  • Retrospective analysis of 205 elderly CRC patients (≥70 years) who underwent laparoscopic radical resection.
  • Collected data included patient demographics, tumor characteristics, surgical parameters, and laboratory markers.
  • Multivariate linear regression identified independent risk factors for prolonged hospital stay, forming the basis of the predictive model.

Main Results:

  • Postoperative complications, ≥2 comorbidities, and operative time >180 minutes were identified as independent risk factors.
  • A scoring model (0-5 points) was developed based on these factors.
  • Risk stratification indicated prolonged hospital stays for patients in the higher-risk groups (3-5 points).

Conclusions:

  • A simplified scoring model effectively predicts postoperative hospital stay in elderly CRC patients.
  • This tool facilitates clinical risk stratification and early intervention planning.
  • The model supports optimized healthcare resource management for this patient population.