Acute Risk Change: An Innovative Measure of Operative Adverse Events and Perioperative Team Performance

Objectives: Cardiac surgical risk models predict mortality preoperatively, whereas intensive care unit (ICU) models predict mortality postoperatively. Finding a large difference between the 2 (an acute risk change [ARC]) may reflect an alteration in the status of the patient related to the surgery....

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Main Authors: Coulson, T., Gregson, B., Sandys, S., Nashef, S., Webb, S., Bailey, M., Reid, Christopher, Pilcher, D.
Format: Journal Article
Published: WB Saunders 2018
Online Access:http://hdl.handle.net/20.500.11937/68035
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author Coulson, T.
Gregson, B.
Sandys, S.
Nashef, S.
Webb, S.
Bailey, M.
Reid, Christopher
Pilcher, D.
author_facet Coulson, T.
Gregson, B.
Sandys, S.
Nashef, S.
Webb, S.
Bailey, M.
Reid, Christopher
Pilcher, D.
author_sort Coulson, T.
building Curtin Institutional Repository
collection Online Access
description Objectives: Cardiac surgical risk models predict mortality preoperatively, whereas intensive care unit (ICU) models predict mortality postoperatively. Finding a large difference between the 2 (an acute risk change [ARC]) may reflect an alteration in the status of the patient related to the surgery. An adverse ARC was associated with morbidity and mortality in an Australian population. The aims of this study were to validate ARC in a UK population and to investigate the possible mechanisms behind ARC. Design: This was a retrospective case-control study. Setting: Single, high-volume cardiothoracic hospital. Participants: Data from 4,842 cardiac surgical patients were collected between 2013 and 2015. Interventions: None. Measurements and main results: EuroSCORE was recalibrated to each preceding year's data. ARC was defined as postoperative minus preoperative percentage mortality risk. Association among ARC, morbidity, and mortality was tested. Cases with large adverse ARC (greater than +15%) were compared with cases with large favorable ARC (less than -10%) with regard to intraoperative adverse events, unmeasured patient risk factors, and postoperative events. Adverse ARC was associated with hospital mortality, ICU stay, ICU readmission, renal support, prolonged intubation and return to the operating room (p < 0.001). Intraoperative adverse events occurred in 23 of 33 patients with adverse ARC; however, only 2 of 17 patients with favorable ARC reported adverse events (p < 0.001). Unmeasured risk factors were present in 48% of patients in the adverse ARC group. Conclusion: ARC is a readily available and sensitive marker that correlates strongly with morbidity and mortality. The use of ARC in local and national quality monitoring could identify areas for improvement of the quality of cardiac surgical care.
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spelling curtin-20.500.11937-680352018-10-18T02:51:32Z Acute Risk Change: An Innovative Measure of Operative Adverse Events and Perioperative Team Performance Coulson, T. Gregson, B. Sandys, S. Nashef, S. Webb, S. Bailey, M. Reid, Christopher Pilcher, D. Objectives: Cardiac surgical risk models predict mortality preoperatively, whereas intensive care unit (ICU) models predict mortality postoperatively. Finding a large difference between the 2 (an acute risk change [ARC]) may reflect an alteration in the status of the patient related to the surgery. An adverse ARC was associated with morbidity and mortality in an Australian population. The aims of this study were to validate ARC in a UK population and to investigate the possible mechanisms behind ARC. Design: This was a retrospective case-control study. Setting: Single, high-volume cardiothoracic hospital. Participants: Data from 4,842 cardiac surgical patients were collected between 2013 and 2015. Interventions: None. Measurements and main results: EuroSCORE was recalibrated to each preceding year's data. ARC was defined as postoperative minus preoperative percentage mortality risk. Association among ARC, morbidity, and mortality was tested. Cases with large adverse ARC (greater than +15%) were compared with cases with large favorable ARC (less than -10%) with regard to intraoperative adverse events, unmeasured patient risk factors, and postoperative events. Adverse ARC was associated with hospital mortality, ICU stay, ICU readmission, renal support, prolonged intubation and return to the operating room (p < 0.001). Intraoperative adverse events occurred in 23 of 33 patients with adverse ARC; however, only 2 of 17 patients with favorable ARC reported adverse events (p < 0.001). Unmeasured risk factors were present in 48% of patients in the adverse ARC group. Conclusion: ARC is a readily available and sensitive marker that correlates strongly with morbidity and mortality. The use of ARC in local and national quality monitoring could identify areas for improvement of the quality of cardiac surgical care. 2018 Journal Article http://hdl.handle.net/20.500.11937/68035 10.1053/j.jvca.2018.01.014 WB Saunders restricted
spellingShingle Coulson, T.
Gregson, B.
Sandys, S.
Nashef, S.
Webb, S.
Bailey, M.
Reid, Christopher
Pilcher, D.
Acute Risk Change: An Innovative Measure of Operative Adverse Events and Perioperative Team Performance
title Acute Risk Change: An Innovative Measure of Operative Adverse Events and Perioperative Team Performance
title_full Acute Risk Change: An Innovative Measure of Operative Adverse Events and Perioperative Team Performance
title_fullStr Acute Risk Change: An Innovative Measure of Operative Adverse Events and Perioperative Team Performance
title_full_unstemmed Acute Risk Change: An Innovative Measure of Operative Adverse Events and Perioperative Team Performance
title_short Acute Risk Change: An Innovative Measure of Operative Adverse Events and Perioperative Team Performance
title_sort acute risk change: an innovative measure of operative adverse events and perioperative team performance
url http://hdl.handle.net/20.500.11937/68035