Prospective Evaluation of In-hospital Mortality with the P-POSSUM Scoring System in Patients Undergoing Major Digestive Surgery

Background The P-POSSUM score, the most well known of predictive scores for postoperative mortality, requires validation for population and setting. Methods Validation methods included discrimination ( C -index statistic), observed:expected ( O : E ) ratio, calibration with the Hosmer-Lemeshow test,...

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Veröffentlicht in:World journal of surgery 2012-10, Vol.36 (10), p.2320-2327
Hauptverfasser: Merad, Féthi, Baron, Gabriel, Pasquet, Blandine, Hennet, Henry, Kohlmann, Gérard, Warlin, Fred, Desrousseaux, Bruno, Fingerhut, Abe, Ravaud, Philippe, Hay, Jean-Marie
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container_issue 10
container_start_page 2320
container_title World journal of surgery
container_volume 36
creator Merad, Féthi
Baron, Gabriel
Pasquet, Blandine
Hennet, Henry
Kohlmann, Gérard
Warlin, Fred
Desrousseaux, Bruno
Fingerhut, Abe
Ravaud, Philippe
Hay, Jean-Marie
description Background The P-POSSUM score, the most well known of predictive scores for postoperative mortality, requires validation for population and setting. Methods Validation methods included discrimination ( C -index statistic), observed:expected ( O : E ) ratio, calibration with the Hosmer-Lemeshow test, and subgroup analysis (emergency surgery, cancer, age, organs). The study included 3,881 multisite patients undergoing major digestive surgery in France. Results Discrimination via the receiver operating characteristic curve was good ( C -index = 0.87). The overall O : E ratio was 1 (95% confidence interval ([95 % CI]: 0.88–1.13), and therefore the quality of the surgical performance is within normal ranges. The O : E ratio, calculated by risk ranges, showed overestimation in the low risk range, especially in the 3 % to 6 % and 6 % to 10 % ranges. Calibration was poor ( p  
doi_str_mv 10.1007/s00268-012-1683-0
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Methods Validation methods included discrimination ( C -index statistic), observed:expected ( O : E ) ratio, calibration with the Hosmer-Lemeshow test, and subgroup analysis (emergency surgery, cancer, age, organs). The study included 3,881 multisite patients undergoing major digestive surgery in France. Results Discrimination via the receiver operating characteristic curve was good ( C -index = 0.87). The overall O : E ratio was 1 (95% confidence interval ([95 % CI]: 0.88–1.13), and therefore the quality of the surgical performance is within normal ranges. The O : E ratio, calculated by risk ranges, showed overestimation in the low risk range, especially in the 3 % to 6 % and 6 % to 10 % ranges. Calibration was poor ( p  &lt; 0.001). The model deviated from the normal pattern of calibration, with mortality lower than expected in the high-risk range. Subgroup analysis found reasonable to good discrimination of populations ( C -index ranging from 0.78 to 0.93 except for liver surgery [0.67]) while calibration of individuals remained poor ( p  &lt; 0.001 to 0.02). Conclusions Good discrimination, as well as nonsignificant overall O : E values, makes P-POSSUM a valuable tool when it is used for surgical audit to compare mortality between populations for major digestive surgery. Conversely, poor calibration (goodness-of-fit), especially in subgroup analysis, and underestimation or overestimation of O : E ratios considerably limits the value of P-POSSUM for prediction of mortality in individuals. 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Methods Validation methods included discrimination ( C -index statistic), observed:expected ( O : E ) ratio, calibration with the Hosmer-Lemeshow test, and subgroup analysis (emergency surgery, cancer, age, organs). The study included 3,881 multisite patients undergoing major digestive surgery in France. Results Discrimination via the receiver operating characteristic curve was good ( C -index = 0.87). The overall O : E ratio was 1 (95% confidence interval ([95 % CI]: 0.88–1.13), and therefore the quality of the surgical performance is within normal ranges. The O : E ratio, calculated by risk ranges, showed overestimation in the low risk range, especially in the 3 % to 6 % and 6 % to 10 % ranges. Calibration was poor ( p  &lt; 0.001). The model deviated from the normal pattern of calibration, with mortality lower than expected in the high-risk range. Subgroup analysis found reasonable to good discrimination of populations ( C -index ranging from 0.78 to 0.93 except for liver surgery [0.67]) while calibration of individuals remained poor ( p  &lt; 0.001 to 0.02). Conclusions Good discrimination, as well as nonsignificant overall O : E values, makes P-POSSUM a valuable tool when it is used for surgical audit to compare mortality between populations for major digestive surgery. Conversely, poor calibration (goodness-of-fit), especially in subgroup analysis, and underestimation or overestimation of O : E ratios considerably limits the value of P-POSSUM for prediction of mortality in individuals. 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Methods Validation methods included discrimination ( C -index statistic), observed:expected ( O : E ) ratio, calibration with the Hosmer-Lemeshow test, and subgroup analysis (emergency surgery, cancer, age, organs). The study included 3,881 multisite patients undergoing major digestive surgery in France. Results Discrimination via the receiver operating characteristic curve was good ( C -index = 0.87). The overall O : E ratio was 1 (95% confidence interval ([95 % CI]: 0.88–1.13), and therefore the quality of the surgical performance is within normal ranges. The O : E ratio, calculated by risk ranges, showed overestimation in the low risk range, especially in the 3 % to 6 % and 6 % to 10 % ranges. Calibration was poor ( p  &lt; 0.001). The model deviated from the normal pattern of calibration, with mortality lower than expected in the high-risk range. Subgroup analysis found reasonable to good discrimination of populations ( C -index ranging from 0.78 to 0.93 except for liver surgery [0.67]) while calibration of individuals remained poor ( p  &lt; 0.001 to 0.02). Conclusions Good discrimination, as well as nonsignificant overall O : E values, makes P-POSSUM a valuable tool when it is used for surgical audit to compare mortality between populations for major digestive surgery. Conversely, poor calibration (goodness-of-fit), especially in subgroup analysis, and underestimation or overestimation of O : E ratios considerably limits the value of P-POSSUM for prediction of mortality in individuals. Therefore P-POSSUM should not be used to predict outcomes for one particular patient.</abstract><cop>New York</cop><pub>Springer-Verlag</pub><pmid>22722672</pmid><doi>10.1007/s00268-012-1683-0</doi><tpages>8</tpages></addata></record>
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subjects Abdominal Surgery
Cardiac Surgery
Digestive System Surgical Procedures
Expect Mortality Rate
Female
Forecasting
General Surgery
Hospital Mortality
Humans
Male
Medicine
Medicine & Public Health
Middle Aged
Operative Severity Score
Possum Score
Postoperative Complications - mortality
Predictive Score
Prognosis
Prospective Studies
Risk Assessment - methods
Risk Range
Surgery
Thoracic Surgery
Vascular Surgery
title Prospective Evaluation of In-hospital Mortality with the P-POSSUM Scoring System in Patients Undergoing Major Digestive Surgery
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