Early C-reactive protein as a predictive biomarker for postoperative complications following robot-assisted surgery for rectal cancer

  • 0Department of Surgery, NHO Fukuyama Medical Center, Hiroshima, 720-8520, Japan. teraishi.fuminori.lw@mail.hosp.go.jp.

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Summary

This summary is machine-generated.

Early postoperative C-reactive protein (CRP) levels on postoperative day 1 can predict complications after robot-assisted rectal surgery for rectal cancer. This biomarker aids in identifying high-risk patients for timely intervention.

Area Of Science

  • Surgical Oncology
  • Gastroenterology
  • Biomarker Discovery

Background

  • Robot-assisted rectal surgery (RARS) is increasingly used for rectal cancer treatment.
  • Postoperative complications can significantly impact patient outcomes after RARS.
  • Identifying reliable predictors of complications is crucial for optimizing patient care.

Purpose Of The Study

  • To evaluate the predictive value of early postoperative C-reactive protein (CRP) levels for complications following RARS.
  • To determine if CRP levels on postoperative days 1 and 4 can predict overall complications within 30 days post-surgery.

Main Methods

  • Retrospective cohort study of 117 patients undergoing elective RARS.
  • Analysis of serum CRP levels measured preoperatively and on postoperative days (POD) 1 and 4.
  • Statistical analysis including univariate and multivariate logistic regression, and ROC analysis.

Main Results

  • Postoperative complications occurred in 22.2% of patients.
  • Elevated CRP levels on POD1 and POD4 were associated with complications.
  • POD1 CRP was an independent predictor of overall complications (aOR 0.77, p<0.01) with an AUC of 0.735.
  • Optimal POD1 CRP cutoff of 5.63 mg/dl showed 61.5% sensitivity and 86.8% specificity.

Conclusions

  • Early postoperative CRP measurement on POD1 is a valuable independent biomarker for predicting complications after RARS for rectal cancer.
  • Incorporating POD1 CRP into postoperative surveillance can help identify high-risk patients.
  • Early identification facilitates timely interventions, potentially improving surgical outcomes.