Age adjusted Charlson comorbidity index (a-CCI) AS a tool to predict 30-day post-operative outcome in general surgery

Hemanga Kumar Bhattacharjee1, M P Kaviyarasan1, Kh Jitenkumar Singh2

  • 1Department of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, India.

ANZ Journal of Surgery
|November 29, 2022
PubMed

Insights

The age-adjusted Charlson Comorbidity Index (a-CCI) effectively predicts 30-day post-operative complications and mortality in general surgery. Higher a-CCI scores correlate with increased risks, highlighting its value in pre-operative assessment.

Area of Science:

  • General Surgery
  • Surgical Outcomes
  • Comorbidity Assessment

Background:

  • The age-adjusted Charlson Comorbidity Index (a-CCI) is established for long-term mortality prediction.
  • Its utility in predicting short-term (30-day) post-operative outcomes in general surgery remains unclear.

Purpose of the Study:

  • To evaluate the role of the a-CCI in predicting 30-day post-operative complications and mortality.
  • To assess the clinical relevance of a-CCI in pre-operative evaluations for general surgery patients.

Main Methods:

  • Prospective observational study of consecutive general surgery patients (January 2019 - December 2020).
  • a-CCI calculated and stratified into Grade 0 (score=0), Grade A (score=1-2), and Grade B (score≥3).
  • Post-operative complications graded using Clavien-Dindo (CD) system; analyzed using logistic regression.

Main Results:

  • 31% of 925 patients experienced 30-day post-operative complications, including 2.7% mortality.
  • Patients with Grade A and B a-CCI scores showed significantly higher odds of complications (1.2x and 1.84x, respectively) compared to Grade 0.
  • Mortality risk was substantially increased in Grade A (3x) and Grade B (17.86x) a-CCI groups.

Conclusions:

  • The a-CCI demonstrates significant clinical relevance for predicting early post-operative outcomes in general surgery.
  • Incorporating a-CCI into pre-operative assessments can aid in risk stratification and patient management.
Abstract

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