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Original Papers

Usefulness of scoring systems in outcome prediction for older cancer patients undergoing abdominal surgery

, , , , &
Pages 383-389 | Received 17 Jun 2019, Accepted 08 Jul 2019, Published online: 19 Jul 2019
 

Abstract

Background

Several postoperative outcome scoring systems have been developed and validated, combining both pre- and intraoperative factors. Among others are the Portsmouth Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (P-POSSUM), the Estimation of Physiologic Ability and Stress (E-PASS) and the Surgical Apgar Score combined with the American Society of Anesthesiologists physical status classification (SASA). The aim of this study was to compare the above scoring systems in the prediction of 30-day postoperative outcome in older patients with cancer undergoing abdominal surgery.

Methods

Consecutive patients ≥70 years were prospectively enrolled. Pre- and intraoperative variables were used to calculate the scores, the ROC and perform logistic regression analysis.

Results

The study sample comprised 201 patients with a median age of 77 (range 70–93) years. The most common surgical procedure was for colorectal (75%), followed by gastric (10.4%) pancreas (7.0%), gall bladder (3.5%), small bowel (2.5%), and other (1.5%) types of cancer. All scores were independent predictors of 30-day postoperative mortality. In case of 30-day morbidity only SASA turned to be significant. The ROC curves were highly valid and area under the curve showed fair to good discriminatory ability (0.60–0.77) for 30-day postoperative mortality and fair (AUC 0.6) in case of SASA for the 30-day postoperative.

Conclusion

The SASA, E-PASS, and P-POSSUM were confirmed to be predictive of 30-day postoperative mortality in older patients undergoing abdominal elective cancer surgery. Only SASA demonstrated as independent factor predicting postoperative 30-day major morbidity.

Disclosure statement

The authors of the manuscript certify that all authors of the article do not have commercial associations (e.g. consultancies, stock ownership, equity interests, patent-licensing arrangements, etc.) that might pose a conflict of interest in connection with the submitted article.

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