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Age adjusted Charlson comorbidity index (a-CCI) AS a tool to predict 30-day post-operative outcome in general surgery patients.
Bhattacharjee, Hemanga Kumar; Kaviyarasan, M P; Singh, Kh Jitenkumar; Don Jose, K; Suhani, Suhani; Joshi, Mohit; Parshad, Rajinder.
Afiliação
  • Bhattacharjee HK; Department of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, India.
  • Kaviyarasan MP; Department of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, India.
  • Singh KJ; Scientist-D, National Institute of Medical Statistics (ICMR-NIMS), Indian Council of Medical Research, New Delhi, India.
  • Don Jose K; Department of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, India.
  • Suhani S; Department of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, India.
  • Joshi M; Department of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, India.
  • Parshad R; Department of Surgical Disciplines, All India Institute of Medical Sciences, New Delhi, India.
ANZ J Surg ; 93(1-2): 132-138, 2023 01.
Article em En | MEDLINE | ID: mdl-36444872
ABSTRACT

INTRODUCTION:

Age adjusted Charlson comorbidity index (a-CCI) is an established scoring system to predict long-term mortality. However, its role in predicting 30-day post-operative outcome in general surgery patients is not well elucidated.

METHODS:

This was a prospective observational study. Consecutive patients operated under general anaesthesia between January 2019 and December 2020 were enrolled. Their a-CCI was calculated and stratified as Grade 0 comorbidities (a-CCI score = 0), Grade A comorbidities (a-CCI score = 1 and 2) and Grade B comorbidities (a-CCI score ≥ 3). Post-operative complications were graded according to Clavien Dindo (CD) grading system and classified as minor complications (CD Grades I and II), major complications (CD Grades III-IV) and mortality (CD Grade V). Binary logistic regression and multi-nominal logistic regression analysis were done and relative risk ratios were calculated.

RESULT:

A total of 925 patients were enrolled. The mean age was 42.75 (14-85 ± 10) years. 31% of our patients had complications within 30 days of surgery which included mortality in 2.7%. Compared with patients with Grade 0 comorbidities, the odds of getting complications is 1.2 times more in patients with Grade A comorbidities and 1.84 times more in patients with Grade B comorbidities (P = 0.205, 0.001 respectively). In comparison to patients with Grade 0 co-morbidities, risk of mortality is 3 and 17.86 times more in patients with Grade A and Grade B comorbidities (P = 0.121 and < 0.001 respectively).

CONCLUSION:

a-CCI has clinical relevance in general surgical patients and can predict early post-operative outcome. It should be a part of our armamentarium for pre-operative assessment of surgical patients.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: ANZ J Surg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Complicações Pós-Operatórias Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: ANZ J Surg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Índia