Elisa M Müller1, Eva Herrmann2, Thomas Schmandra3, Thomas F Weigel4, Ernst Hanisch1, Alexander Buia5. 1. Department of General, Visceral and Thoracic Surgery, Asklepios Klinik Langen, Academic Teaching Hospital Goethe-University Frankfurt, Röntgenstraße 20, 63225, Langen, Deutschland, Germany. 2. Department of Biostatistics and Mathematical Modeling, Goethe-University Frankfurt, Frankfurt, Germany. 3. Department of Vascular Surgery, Rhön Klinik Bad Neustadt a. d. Saale, Bad Neustadt an der Saale, Germany. 4. Department of General and Visceral Surgery, Heilig-Geist-Hospital Bingen, Bingen am Rhein, Germany. 5. Department of General, Visceral and Thoracic Surgery, Asklepios Klinik Langen, Academic Teaching Hospital Goethe-University Frankfurt, Röntgenstraße 20, 63225, Langen, Deutschland, Germany. a.buia@asklepios.com.
Abstract
PURPOSE: The study investigates whether postoperative complications in elective surgery can be reduced by using a risk calculator via raising the awareness of the surgeon in a preoperative briefing. Postoperative complications like wound infections or pneumonia result in a high burden for healthcare systems. Multiple quality improvement programs address this problem like the ACS NSQIP Surgical Risk Calculator® (SRC). METHODS: To determine whether the preoperative usage of the SRC could reduce inpatient postoperative complications, two groups of 832 patients each were compared using propensity score matching. The SRC was employed retrospectively in the period 2012/2013 in one group ("Retro") and prospectively in the other group ("Prosp") in the period 2014/2015. Actual inpatient postoperative complications were classified by SRC complication categories and compared with the Clavien-Dindo complication classification system (Dindo et al. in Ann Surg 240:205-213, 2004). RESULTS: Comparing SRC "serious complication" and SRC "any complication," a nonsignificant increase in the "Prosp"-group was apparent (serious complication: 6.6% vs. 8.5%, p = 0.164; any complication: 8.5% vs. 9.7%, p = 0.444). CONCLUSION: Use of the SRC neither reduces inpatient postoperative complications nor the severity of complications. The calculations of the SRC rely on a 30-day postoperative follow-up. Poor sensitivity and medium specificity of the SRC showed that the SRC could not make accurate predictions in a short follow-up time averaging 6 days. Alternatively, since the observed complication rate was low in our study, in an environment of already highly implemented risk management tools, reductions in complications are not easily achieved.
PURPOSE: The study investigates whether postoperative complications in elective surgery can be reduced by using a risk calculator via raising the awareness of the surgeon in a preoperative briefing. Postoperative complications like wound infections or pneumonia result in a high burden for healthcare systems. Multiple quality improvement programs address this problem like the ACS NSQIP Surgical Risk Calculator® (SRC). METHODS: To determine whether the preoperative usage of the SRC could reduce inpatient postoperative complications, two groups of 832 patients each were compared using propensity score matching. The SRC was employed retrospectively in the period 2012/2013 in one group ("Retro") and prospectively in the other group ("Prosp") in the period 2014/2015. Actual inpatient postoperative complications were classified by SRC complication categories and compared with the Clavien-Dindo complication classification system (Dindo et al. in Ann Surg 240:205-213, 2004). RESULTS: Comparing SRC "serious complication" and SRC "any complication," a nonsignificant increase in the "Prosp"-group was apparent (serious complication: 6.6% vs. 8.5%, p = 0.164; any complication: 8.5% vs. 9.7%, p = 0.444). CONCLUSION: Use of the SRC neither reduces inpatient postoperative complications nor the severity of complications. The calculations of the SRC rely on a 30-day postoperative follow-up. Poor sensitivity and medium specificity of the SRC showed that the SRC could not make accurate predictions in a short follow-up time averaging 6 days. Alternatively, since the observed complication rate was low in our study, in an environment of already highly implemented risk management tools, reductions in complications are not easily achieved.
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