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Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality

BACKGROUND: To validate and recalibrate the CR- POSSUM model and compared its discriminatory capacity with other European models such as POSSUM, P-POSSUM, AFC or IRCS to predict operative mortality in surgery for colorectal cancer. METHODS: Prospective multicenter cohort study from 22 hospitals in S...

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Autores principales: Baré, Marisa, Alcantara, Manuel Jesús, Gil, Maria José, Collera, Pablo, Pont, Marina, Escobar, Antonio, Sarasqueta, Cristina, Redondo, Maximino, Briones, Eduardo, Dujovne, Paula, Quintana, Jose Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789585/
https://www.ncbi.nlm.nih.gov/pubmed/29378647
http://dx.doi.org/10.1186/s12913-018-2839-x
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author Baré, Marisa
Alcantara, Manuel Jesús
Gil, Maria José
Collera, Pablo
Pont, Marina
Escobar, Antonio
Sarasqueta, Cristina
Redondo, Maximino
Briones, Eduardo
Dujovne, Paula
Quintana, Jose Maria
author_facet Baré, Marisa
Alcantara, Manuel Jesús
Gil, Maria José
Collera, Pablo
Pont, Marina
Escobar, Antonio
Sarasqueta, Cristina
Redondo, Maximino
Briones, Eduardo
Dujovne, Paula
Quintana, Jose Maria
author_sort Baré, Marisa
collection PubMed
description BACKGROUND: To validate and recalibrate the CR- POSSUM model and compared its discriminatory capacity with other European models such as POSSUM, P-POSSUM, AFC or IRCS to predict operative mortality in surgery for colorectal cancer. METHODS: Prospective multicenter cohort study from 22 hospitals in Spain. We included patients undergoing planned or urgent surgery for primary invasive colorectal cancers between June 2010 and December 2012 (N = 2749). Clinical data were gathered through medical chart review. We validated and recalibrated the predictive models using logistic regression techniques. To calculate the discriminatory power of each model, we estimated the areas under the curve - AUC (95% CI). We also assessed the calibration of the models by applying the Hosmer-Lemeshow test. RESULTS: In-hospital mortality was 1.5% and 30-day mortality, 1.7%. In the validation process, the discriminatory power of the CR-POSSUM for predicting in-hospital mortality was 73.6%. However, in the recalibration process, the AUCs improved slightly: the CR-POSSUM reached 75.5% (95% CI: 67.3–83.7). The discriminatory power of the CR-POSSUM for predicting 30-day mortality was 74.2% (95% CI: 67.1–81.2) after recalibration; among the other models the POSSUM had the greatest discriminatory power, with an AUC of 77.0% (95% CI: 68.9–85.2). The Hosmer-Lemeshow test showed good fit for all the recalibrated models. CONCLUSION: The CR-POSSUM and the other models showed moderate capacity to discriminate the risk of operative mortality in our context, where the actual operative mortality is low. Nevertheless the IRCS might better predict in-hospital mortality, with fewer variables, while the CR-POSSUM could be slightly better for predicting 30-day mortality. TRAIL REGISTRATION: Registered at: ClinicalTrials.gov Identifier: NCT02488161 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-2839-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-57895852018-02-08 Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality Baré, Marisa Alcantara, Manuel Jesús Gil, Maria José Collera, Pablo Pont, Marina Escobar, Antonio Sarasqueta, Cristina Redondo, Maximino Briones, Eduardo Dujovne, Paula Quintana, Jose Maria BMC Health Serv Res Research Article BACKGROUND: To validate and recalibrate the CR- POSSUM model and compared its discriminatory capacity with other European models such as POSSUM, P-POSSUM, AFC or IRCS to predict operative mortality in surgery for colorectal cancer. METHODS: Prospective multicenter cohort study from 22 hospitals in Spain. We included patients undergoing planned or urgent surgery for primary invasive colorectal cancers between June 2010 and December 2012 (N = 2749). Clinical data were gathered through medical chart review. We validated and recalibrated the predictive models using logistic regression techniques. To calculate the discriminatory power of each model, we estimated the areas under the curve - AUC (95% CI). We also assessed the calibration of the models by applying the Hosmer-Lemeshow test. RESULTS: In-hospital mortality was 1.5% and 30-day mortality, 1.7%. In the validation process, the discriminatory power of the CR-POSSUM for predicting in-hospital mortality was 73.6%. However, in the recalibration process, the AUCs improved slightly: the CR-POSSUM reached 75.5% (95% CI: 67.3–83.7). The discriminatory power of the CR-POSSUM for predicting 30-day mortality was 74.2% (95% CI: 67.1–81.2) after recalibration; among the other models the POSSUM had the greatest discriminatory power, with an AUC of 77.0% (95% CI: 68.9–85.2). The Hosmer-Lemeshow test showed good fit for all the recalibrated models. CONCLUSION: The CR-POSSUM and the other models showed moderate capacity to discriminate the risk of operative mortality in our context, where the actual operative mortality is low. Nevertheless the IRCS might better predict in-hospital mortality, with fewer variables, while the CR-POSSUM could be slightly better for predicting 30-day mortality. TRAIL REGISTRATION: Registered at: ClinicalTrials.gov Identifier: NCT02488161 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12913-018-2839-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-29 /pmc/articles/PMC5789585/ /pubmed/29378647 http://dx.doi.org/10.1186/s12913-018-2839-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Baré, Marisa
Alcantara, Manuel Jesús
Gil, Maria José
Collera, Pablo
Pont, Marina
Escobar, Antonio
Sarasqueta, Cristina
Redondo, Maximino
Briones, Eduardo
Dujovne, Paula
Quintana, Jose Maria
Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality
title Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality
title_full Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality
title_fullStr Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality
title_full_unstemmed Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality
title_short Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality
title_sort validity of the cr-possum model in surgery for colorectal cancer in spain (ccr-caress study) and comparison with other models to predict operative mortality
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789585/
https://www.ncbi.nlm.nih.gov/pubmed/29378647
http://dx.doi.org/10.1186/s12913-018-2839-x
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