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The prognostic value of preoperative Neutrophil-to-Albumin ratio (NPAR) for postoperative complications and survival in colorectal cancer patients undergoing robot-assisted surgery: a retrospective cohort study.

Journal of robotic surgery 2025 Vol.20(1) p. 69

Wang J, Chen F, Hu T, Yu N

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This study aimed to evaluate the prognostic value of the preoperative neutrophil percentage-to-albumin ratio (NPAR) in predicting postoperative complications and long-term survival in patients undergo

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • p-value P < 0.001
  • 95% CI 2.10-7.61
  • OR 4.00
  • HR 1.60
  • 연구 설계 cohort study

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BibTeX ↓ RIS ↓
APA Wang J, Chen F, et al. (2025). The prognostic value of preoperative Neutrophil-to-Albumin ratio (NPAR) for postoperative complications and survival in colorectal cancer patients undergoing robot-assisted surgery: a retrospective cohort study.. Journal of robotic surgery, 20(1), 69. https://doi.org/10.1007/s11701-025-02966-2
MLA Wang J, et al.. "The prognostic value of preoperative Neutrophil-to-Albumin ratio (NPAR) for postoperative complications and survival in colorectal cancer patients undergoing robot-assisted surgery: a retrospective cohort study.." Journal of robotic surgery, vol. 20, no. 1, 2025, pp. 69.
PMID 41364248

Abstract

This study aimed to evaluate the prognostic value of the preoperative neutrophil percentage-to-albumin ratio (NPAR) in predicting postoperative complications and long-term survival in patients undergoing Da Vinci robot-assisted laparoscopic radical resection for colorectal cancer. A retrospective cohort study was conducted, including 230 patients with stage I-III colorectal cancer who underwent robotic-assisted radical surgery at Second Xiangya Hospital of Central South University.from January 2016 to October 2020. Preoperative laboratory parameters within 7 days before surgery were collected to calculate NPAR. Restricted cubic spline (RCS) regression was used to assess the nonlinear association between NPAR and complication risk, with the optimal cutoff value (14.649) determined via the Youden index and validated through 5-fold cross-validation. Postoperative complications were defined as Clavien-Dindo grade ≥ II events within 30 days post-surgery. Firth's penalized logistic regression and ridge regression models, coupled with internal validation, evaluated predictive performance, while Cox proportional hazards and Kaplan-Meier analyses assessed long-term survival. RCS analysis revealed a significant nonlinear positive relationship between NPAR and postoperative complication risk (P < 0.001, P for nonlinearity = 0.002). Patients with NPAR ≥ 14.649 exhibited significantly higher odds of complications (adjusted OR = 4.00, 95% CI: 2.10-7.61, P < 0.001). The ridge-penalized model demonstrated excellent discrimination (AUC = 0.913; optimism-corrected AUC = 0.903) and calibration (Brier score = 0.086; slope = 1.020). Subgroup and sensitivity analyses confirmed robustness across age, sex, tumor location, and comorbidity strata. Elevated NPAR independently predicted poor overall survival (HR = 1.60, 95% CI: 1.21-2.12, P < 0.001), with Kaplan-Meier analysis showing reduced survival in the high-NPAR group (P < 0.001). Preoperative NPAR is a robust and accessible biomarker for predicting short-term complications and long-term outcomes in robotic colorectal cancer surgery. Its integration into preoperative risk assessment can facilitate individualized management and optimize postoperative care.

MeSH Terms

Humans; Retrospective Studies; Male; Female; Colorectal Neoplasms; Robotic Surgical Procedures; Neutrophils; Middle Aged; Postoperative Complications; Prognosis; Aged; Serum Albumin; Adult; Preoperative Period

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