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Rethinking our definition of operative success: predicting early mortality after emergency general surgery colon resection
BACKGROUND: The postoperative outcomes of emergency general surgery patients can be fraught with uncertainty. Although surgical risk calculators exist to predict 30-day mortality, they are often of limited utility in preparing patients and families for immediate perioperative complications. Examinat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560481/ https://www.ncbi.nlm.nih.gov/pubmed/31245613 http://dx.doi.org/10.1136/tsaco-2018-000244 |
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author | DeWane, Michael P Davis, Kimberly A Schuster, Kevin M Maung, Adrian A Becher, Robert D |
author_facet | DeWane, Michael P Davis, Kimberly A Schuster, Kevin M Maung, Adrian A Becher, Robert D |
author_sort | DeWane, Michael P |
collection | PubMed |
description | BACKGROUND: The postoperative outcomes of emergency general surgery patients can be fraught with uncertainty. Although surgical risk calculators exist to predict 30-day mortality, they are often of limited utility in preparing patients and families for immediate perioperative complications. Examination of trends in mortality after emergent colectomy may help inform complex perioperative decision-making. We hypothesized that risk factors could be identified to predict early mortality (before postoperative day 5) to inform operative decisions. METHODS: This analysis was a retrospective cohort study using the American College of Surgeons National Surgical Quality Improvement Program database (2012–2014). Patients were stratified into three groups: early death (postoperative day 0–4), late death (postoperative day 5–30), and those who survived. Multivariable logistic regression was used to explore characteristics associated with early death. Kaplan-Meier models and Cox regression were used to further characterize their impact. RESULTS: A total of 18 803 patients were analyzed. Overall 30-day mortality was 12.5% (3316); of these, 37.1% (899) were early deaths. The preoperative factors most predictive of early death were septic shock (OR 3.62, p<0.001), ventilator dependence (OR 2.81, p<0.001), and ascites (OR 1.63, p<0.001). Postoperative complications associated with early death included pulmonary embolism (OR 5.78, p<0.001), presence of new-onset or ongoing postoperative septic shock (OR 4.45, p<0.001) and new-onset renal failure (OR 1.89, p<0.001). Patients with both preoperative and postoperative shock had an overall mortality rate of 47% with over half of all deaths occurring in the early period. CONCLUSIONS: Nearly 40% of patients who die after emergent colon resection do so before postoperative day 5. Early mortality is heavily influenced by the presence of both preoperative and new or persistent postoperative septic shock. These results demonstrate important temporal trends of mortality, which may inform perioperative patient and family discussions and complex management decisions. LEVEL OF EVIDENCE: Level III. Study type: Prognostic. |
format | Online Article Text |
id | pubmed-6560481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-65604812019-06-26 Rethinking our definition of operative success: predicting early mortality after emergency general surgery colon resection DeWane, Michael P Davis, Kimberly A Schuster, Kevin M Maung, Adrian A Becher, Robert D Trauma Surg Acute Care Open Original Article BACKGROUND: The postoperative outcomes of emergency general surgery patients can be fraught with uncertainty. Although surgical risk calculators exist to predict 30-day mortality, they are often of limited utility in preparing patients and families for immediate perioperative complications. Examination of trends in mortality after emergent colectomy may help inform complex perioperative decision-making. We hypothesized that risk factors could be identified to predict early mortality (before postoperative day 5) to inform operative decisions. METHODS: This analysis was a retrospective cohort study using the American College of Surgeons National Surgical Quality Improvement Program database (2012–2014). Patients were stratified into three groups: early death (postoperative day 0–4), late death (postoperative day 5–30), and those who survived. Multivariable logistic regression was used to explore characteristics associated with early death. Kaplan-Meier models and Cox regression were used to further characterize their impact. RESULTS: A total of 18 803 patients were analyzed. Overall 30-day mortality was 12.5% (3316); of these, 37.1% (899) were early deaths. The preoperative factors most predictive of early death were septic shock (OR 3.62, p<0.001), ventilator dependence (OR 2.81, p<0.001), and ascites (OR 1.63, p<0.001). Postoperative complications associated with early death included pulmonary embolism (OR 5.78, p<0.001), presence of new-onset or ongoing postoperative septic shock (OR 4.45, p<0.001) and new-onset renal failure (OR 1.89, p<0.001). Patients with both preoperative and postoperative shock had an overall mortality rate of 47% with over half of all deaths occurring in the early period. CONCLUSIONS: Nearly 40% of patients who die after emergent colon resection do so before postoperative day 5. Early mortality is heavily influenced by the presence of both preoperative and new or persistent postoperative septic shock. These results demonstrate important temporal trends of mortality, which may inform perioperative patient and family discussions and complex management decisions. LEVEL OF EVIDENCE: Level III. Study type: Prognostic. BMJ Publishing Group 2019-05-15 /pmc/articles/PMC6560481/ /pubmed/31245613 http://dx.doi.org/10.1136/tsaco-2018-000244 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Original Article DeWane, Michael P Davis, Kimberly A Schuster, Kevin M Maung, Adrian A Becher, Robert D Rethinking our definition of operative success: predicting early mortality after emergency general surgery colon resection |
title | Rethinking our definition of operative success: predicting early mortality after emergency general surgery colon resection |
title_full | Rethinking our definition of operative success: predicting early mortality after emergency general surgery colon resection |
title_fullStr | Rethinking our definition of operative success: predicting early mortality after emergency general surgery colon resection |
title_full_unstemmed | Rethinking our definition of operative success: predicting early mortality after emergency general surgery colon resection |
title_short | Rethinking our definition of operative success: predicting early mortality after emergency general surgery colon resection |
title_sort | rethinking our definition of operative success: predicting early mortality after emergency general surgery colon resection |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6560481/ https://www.ncbi.nlm.nih.gov/pubmed/31245613 http://dx.doi.org/10.1136/tsaco-2018-000244 |
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