BACKGROUND/AIM: Postoperative complications have a tremendous impact on in-hospital costs. The novel Comprehensive Complication Index® (CCI®) summarizes all complications together and is more sensitive than existing morbidity endpoints. The purpose of this study was to assess the correlation of CCI® with in-hospital costs and externally validate a novel cost prediction calculator. PATIENTS AND METHODS: This was a prospective study including consecutive patients undergoing elective major hepatopancreaticobiliary (HPB) surgery for malignancy at a London tertiary referral hospital. A priori sample size and post-hoc power calculations were performed. RESULTS: Thirty patients were included in the analysis, 14 were female, and the median age was 67 [interquartile range (IQR)=54-74] years. The median Charlson Comorbidity Index was 6 (IQR=5-8). Eighteen patients underwent liver, 9 pancreatic surgery and three a palliative bypass; 11 patients had a major complication (≥grade 3a) according to the Clavien-Dindo classification. The median CCI® was 30.2 (IQR=12.18-39.5). The mean cost per case was 13,908 (SD=4,600) GBP. There was no correlation between the Charlson Comorbidity Index or age with actual cost. However, there was very good correlation of actual cost with the CCI® (r=0.77, 95% confidence interval=0.57-0.89, p<0.001) as well as with the predicted cost (Clavien Cost Prediction Calculator) (r=0.70, 95% confidence interval=0.44-0.85, p<0.001). CONCLUSION: These findings support the hypothesis that complications are the most important predictor of overall cost in the setting of elective major HPB surgery for malignancy. Furthermore, CCI® and the novel Cost Prediction Calculator can be used in this setting to accurately predict costs using no additional resources. Copyright
BACKGROUND/AIM: Postoperative complications have a tremendous impact on in-hospital costs. The novel Comprehensive Complication Index® (CCI®) summarizes all complications together and is more sensitive than existing morbidity endpoints. The purpose of this study was to assess the correlation of CCI® with in-hospital costs and externally validate a novel cost prediction calculator. PATIENTS AND METHODS: This was a prospective study including consecutive patients undergoing elective major hepatopancreaticobiliary (HPB) surgery for malignancy at a London tertiary referral hospital. A priori sample size and post-hoc power calculations were performed. RESULTS: Thirty patients were included in the analysis, 14 were female, and the median age was 67 [interquartile range (IQR)=54-74] years. The median Charlson Comorbidity Index was 6 (IQR=5-8). Eighteen patients underwent liver, 9 pancreatic surgery and three a palliative bypass; 11 patients had a major complication (≥grade 3a) according to the Clavien-Dindo classification. The median CCI® was 30.2 (IQR=12.18-39.5). The mean cost per case was 13,908 (SD=4,600) GBP. There was no correlation between the Charlson Comorbidity Index or age with actual cost. However, there was very good correlation of actual cost with the CCI® (r=0.77, 95% confidence interval=0.57-0.89, p<0.001) as well as with the predicted cost (Clavien Cost Prediction Calculator) (r=0.70, 95% confidence interval=0.44-0.85, p<0.001). CONCLUSION: These findings support the hypothesis that complications are the most important predictor of overall cost in the setting of elective major HPB surgery for malignancy. Furthermore, CCI® and the novel Cost Prediction Calculator can be used in this setting to accurately predict costs using no additional resources. Copyright
Authors: Pierre A Clavien; Jeffrey Barkun; Michelle L de Oliveira; Jean Nicolas Vauthey; Daniel Dindo; Richard D Schulick; Eduardo de Santibañes; Juan Pekolj; Ksenija Slankamenac; Claudio Bassi; Rolf Graf; René Vonlanthen; Robert Padbury; John L Cameron; Masatoshi Makuuchi Journal: Ann Surg Date: 2009-08 Impact factor: 12.969
Authors: René Vonlanthen; Ksenija Slankamenac; Stefan Breitenstein; Milo A Puhan; Markus K Muller; Dieter Hahnloser; Dimitri Hauri; Rolf Graf; Pierre-Alain Clavien Journal: Ann Surg Date: 2011-12 Impact factor: 12.969
Authors: Dimitri Aristotle Raptis; Tobias Mettler; Michael Alexander Fischer; Michael Patak; Mickael Lesurtel; Dilmurodjon Eshmuminov; Olivier de Rougemont; Rolf Graf; Pierre-Alain Clavien; Stefan Breitenstein Journal: Inform Health Soc Care Date: 2014-03 Impact factor: 2.439