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February 7, 2014Colorectal Disease32 citations

Predicting postoperative mortality after colorectal surgery: a novel clinical model

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FSFrederik J. van der SluisEEEloy EspínFVFrancesc Vallribera

Key Result

The Identification of Risk in Colorectal Surgery (IRCS) score predicted in-hospital mortality with an AUC of 0.83 (95% CI 0.79-0.87), compared to 0.76 (95% CI 0.71-0.81) for the CR-POSSUM score.

Study Design

Type

Cohort

Multicenter

Yes

Structured PICO

Does the IRCS score accurately predict in-hospital mortality in patients undergoing colorectal surgery?

P
Population
Consecutive patients undergoing elective or emergency colorectal surgery from 1990 to 2005 in The Netherlands (development cohort) and 2005 to 2011 in Spain (validation cohort).
E
Exposure
Identification of Risk in Colorectal Surgery (IRCS) score
C
Comparator
CR-POSSUM score
O
Outcome
In-hospital mortalityhard clinical

The IRCS score is a practical and discriminative prediction model for estimating in-hospital mortality after colorectal surgery, outperforming the CR-POSSUM score in external validation.

Main Result

Effect estimate: AUC 0.83 (95% CI 0.79-0.87)

Absolute Event Rate: 0.83% vs 0.76%

Abstract

AIM: The aim of this study was to develop and externally validate a clinically, practical and discriminative prediction model designed to estimate in-hospital mortality of patients undergoing colorectal surgery. METHOD: All consecutive patients who underwent elective or emergency colorectal surgery from 1990 to 2005, at the Zaandam Medical Centre, The Netherlands, were included in this study. Multivariate logistic regression analysis was performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs) linking the explanatory variables to the outcome variable in-hospital mortality, and a simplified Identification of Risk in Colorectal Surgery (IRCS) score was constructed. The model was validated in a population of patients who underwent colorectal surgery from 2005 to 2011 in Barcelona, Spain. Predictive performance was estimated by calculating the area under the receiver operating characteristic curve. RESULTS: The strongest predictors of in-hospital mortality were emergency surgery (OR = 6.7, 95% CI 4.7-9.5), tumour stage (OR = 3.2, 95% CI 2.8-4.6), age (OR = 13.1, 95% CI 6.6-26.0), pulmonary failure (OR = 4.9, 95% CI 3.3-7.1) and cardiac failure (OR = 3.7, 95% CI 2.6-5.3). These parameters were included in the prediction model and simplified scoring system. The IRCS model predicted in-hospital mortality and demonstrated a predictive performance of 0.83 (95% CI 0.79-0.87) in the validation population. In this population the predictive performance of the CR-POSSUM score was 0.76 (95% CI 0.71-0.81). CONCLUSIONS: The results of this study have shown that the IRCS score is a good predictor of in-hospital mortality after colorectal surgery despite the relatively low number of model parameters.

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Cite This Study

Sluis et al. (2014) conducted a cohort in colorectal surgery. Identification of Risk in Colorectal Surgery (IRCS) score vs. CR-POSSUM score was evaluated on predictive performance (AUC) for in-hospital mortality (AUC 0.83, 95% CI 0.79-0.87). The Identification of Risk in Colorectal Surgery (IRCS) score predicted in-hospital mortality with an AUC of 0.83 (95% CI 0.79-0.87), compared to 0.76 (95% CI 0.71-0.81) for the CR-POSSUM score.

synapsesocial.com/papers/6a230f70bfbb7e141bcb218chttps://doi.org/10.1111/codi.12580
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