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Derivation and Validation of a Novel Severity Classification for Intraoperative Adverse Events

Authors :
Hasan B. Alam
Peter J. Fagenholz
Marc DeMoya
George C. Velmahos
Donna Antonelli
John O. Hwabejire
Alice Gervasini
Matthew M. Hutter
Michael N. Mavros
Yuchiao Chang
Haytham M.A. Kaafarani
D. Dante Yeh
David R. King
Source :
Journal of the American College of Surgeons. 218:1120-1128
Publication Year :
2014
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2014.

Abstract

There is currently no systematic approach to evaluating the severity of intraoperative adverse events (iAEs).A 3-phase project was designed to develop and validate a novel severity classification scheme for iAEs. Phase 1 created the severity classification using a modified Delphi process. Phase 2 measured the classification's internal consistency by calculating inter-rater reliability among 91 surgeons using standardized iAEs scenarios. Phase 3 measured the classification's construct validity by testing whether major iAEs (severity class ≥3) correlated with worse 30-day postoperative outcomes compared with minor iAEs (severity class3). This was achieved by creating a matched database using American College of Surgeons NSQIP and administrative data, querying for iAEs using the Patient Safety Indicator #15 (Accidental Puncture/Laceration), and iAE confirmation by chart review.Phase 1 resulted in a 6-point severity classification scheme. Phase 2 revealed an inter-rater reliability of 0.882. Of 9,292 patients, phase 3 included 181 confirmed with iAEs. All preoperative/intraoperative variables, including demographics, comorbidities, type of surgery performed, and operative length, were similar between patients with minor (n = 110) vs major iAEs (n = 71). In multivariable logistic analysis, severe iAEs correlated with higher risks of any postoperative complication (odds ratio [OR] = 3.8; 95% CI, 1.9-7.4; p0.001), surgical site infections (OR = 3.7; 95% CI, 1.7-8.2; p = 0.001), systemic sepsis (OR = 6.0; 95% CI, 2.1-17.2; p = 0.001), failure to wean off the ventilator (OR = 3.2; 95% CI, 1.2-8.9; p = 0.022), and postoperative length of stay ≥7 days (OR = 3.0; 95% CI, 1.5-5.9; p = 0.002). Thirty-day mortalities were similar (4.5% vs 7.1%; p = 0.46).We propose a novel iAE severity classification system with high internal consistency and solid construct validity. Our classification scheme might prove essential for benchmarking quality of intraoperative care across hospitals and/or individual surgeons.

Details

ISSN :
10727515
Volume :
218
Database :
OpenAIRE
Journal :
Journal of the American College of Surgeons
Accession number :
edsair.doi.dedup.....76ec435c5174ac8647103ac6b26bcf87
Full Text :
https://doi.org/10.1016/j.jamcollsurg.2013.12.060