Daniel N Holena1, Elinore J Kaufman, M Kit Delgado, Douglas J Wiebe, Brendan G Carr, Jason D Christie, Patrick M Reilly. 1. From the Division of Traumatology (D.N.H., P.M.R.), Surgical Critical Care and Emergency Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; The Penn Injury Science Center at the University of Pennsylvania (D.N.H., M.K.D., D.J.W., P.M.R.), Philadelphia, Pennsylvania; Department of Surgery (E.J.K.), Weill-Cornell School of Medicine, New York, New York; Department of Emergency Medicine (M.K.D.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics (D.J.W.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania; and Department of Emergency Medicine (B.G.C.), Jefferson University School of Medicine, Philadelphia, Pennsylvania.
Abstract
BACKGROUND: Failure to rescue (FTR) is defined as death after an adverse event. The original metric was derived in elective surgical populations and reclassifies deaths not preceded by recorded adverse events as FTR cases under the assumption these deaths resulted from missed adverse events. This approach lacks face validity in trauma because patients often die without adverse events as a direct result of injury. Another common approach simply excludes deaths without recorded adverse events, but this approach reduces the reliability of the FTR metric. We hypothesized that a hybrid metric excluding expected deaths but otherwise including patients without recorded adverse events in FTR analysis would improve face validity and reliability relative to existing methods. METHODS: Using 3 years of single-state adult trauma registry data from 30 trauma centers, we constructed 3 FTR metrics: (1) excluding deaths not preceded by adverse events (FTR-E), (2) reclassifying deaths not preceded by adverse events (FTR-R), and (3) including deaths not preceded by adverse events in FTR analysis except those with predicted mortality or greater than 50% (FTR-T). Mortality, adverse event, and FTR rates were calculated under each method, and reliability was tested using Spearman correlation for split-sample center rankings. RESULTS: A total of 89,780 patients were included (median age, 57 years [interquartile range, 26-73 years]; 85% were white; 59% were male; 92% had blunt mechanism of injury; median Injury Severity Score, 9 [interquartile range, 5-14]). The FTR rates varied by metric (FTR-E, 11.2%; FTR-R, 31.2%; FTR-T, 21.4%), as did the proportion of deaths preceded by adverse events (FTR-E, 28%; FTR-R, 100%; FTR-T, 60%). Spit-sample reliability was higher FTR-T than FTR-E (ρ = 0.59 vs. = 0.27, p < 0.001). CONCLUSIONS: A trauma-specific FTR metric increases face validity and reliability relative to other FTR methods that may be used in trauma populations. Future trauma outcomes studies examining FTR rates should use a metric designed for this cohort. LEVEL OF EVIDENCE: Retrospective cohort study, outcomes, level III.
BACKGROUND: Failure to rescue (FTR) is defined as death after an adverse event. The original metric was derived in elective surgical populations and reclassifies deaths not preceded by recorded adverse events as FTR cases under the assumption these deaths resulted from missed adverse events. This approach lacks face validity in trauma because patients often die without adverse events as a direct result of injury. Another common approach simply excludes deaths without recorded adverse events, but this approach reduces the reliability of the FTR metric. We hypothesized that a hybrid metric excluding expected deaths but otherwise including patients without recorded adverse events in FTR analysis would improve face validity and reliability relative to existing methods. METHODS: Using 3 years of single-state adult trauma registry data from 30 trauma centers, we constructed 3 FTR metrics: (1) excluding deaths not preceded by adverse events (FTR-E), (2) reclassifying deaths not preceded by adverse events (FTR-R), and (3) including deaths not preceded by adverse events in FTR analysis except those with predicted mortality or greater than 50% (FTR-T). Mortality, adverse event, and FTR rates were calculated under each method, and reliability was tested using Spearman correlation for split-sample center rankings. RESULTS: A total of 89,780 patients were included (median age, 57 years [interquartile range, 26-73 years]; 85% were white; 59% were male; 92% had blunt mechanism of injury; median Injury Severity Score, 9 [interquartile range, 5-14]). The FTR rates varied by metric (FTR-E, 11.2%; FTR-R, 31.2%; FTR-T, 21.4%), as did the proportion of deaths preceded by adverse events (FTR-E, 28%; FTR-R, 100%; FTR-T, 60%). Spit-sample reliability was higher FTR-T than FTR-E (ρ = 0.59 vs. = 0.27, p < 0.001). CONCLUSIONS: A trauma-specific FTR metric increases face validity and reliability relative to other FTR methods that may be used in trauma populations. Future trauma outcomes studies examining FTR rates should use a metric designed for this cohort. LEVEL OF EVIDENCE: Retrospective cohort study, outcomes, level III.
Authors: Jeffrey H Silber; Sean K Kennedy; Orit Even-Shoshan; Wei Chen; Rachel E Mosher; Ann M Showan; David E Longnecker Journal: Anesthesiology Date: 2002-05 Impact factor: 7.892
Authors: Lindsay E Kuo; Elinore Kaufman; Rebecca L Hoffman; Jose L Pascual; Niels D Martin; Rachel R Kelz; Daniel N Holena Journal: Surgery Date: 2016-10-25 Impact factor: 3.982
Authors: Daniel N Holena; Emily Earl-Royal; M Kit Delgado; Carrie A Sims; Jose L Pascual; Jesse Y Hsu; Brendan G Carr; Patrick M Reilly; Douglas Wiebe Journal: Injury Date: 2015-10-28 Impact factor: 2.586
Authors: Mark R Hemmila; Jill L Jakubus; Wendy L Wahl; Saman Arbabi; William G Henderson; Shukri F Khuri; Paul A Taheri; Darrell A Campbell Journal: Surgery Date: 2007-10 Impact factor: 3.982
Authors: Lucy W Ma; Justin S Hatchimonji; Elinore J Kaufman; Catherine E Sharoky; Brian P Smith; Daniel N Holena Journal: Surgery Date: 2019-05-07 Impact factor: 3.982
Authors: Justin S Hatchimonji; Elinore J Kaufman; Catherine E Sharoky; Lucy Ma; Anna E Garcia Whitlock; Daniel N Holena Journal: J Trauma Acute Care Surg Date: 2019-09 Impact factor: 3.313
Authors: Anders Winther Voldby; Anders Watt Boolsen; Anne Albers Aaen; Jakob Burcharth; Sarah Ekeløf; Roberto Loprete; Simon Jønck; Hassan Ali Eskandarani; Lau Caspar Thygesen; Ann Merete Møller; Birgitte Brandstrup Journal: J Gastrointest Surg Date: 2022-05-23 Impact factor: 3.267
Authors: Michael L O'Byrne; Kevin F Kennedy; Natalie Jayaram; Lisa J Bergersen; Matthew J Gillespie; Yoav Dori; Jeffrey H Silber; Steven M Kawut; Jonathan J Rome; Andrew C Glatz Journal: J Am Heart Assoc Date: 2019-10-17 Impact factor: 5.501
Authors: Randeep S Jawa; Mathew A Tharakan; Chaowei Tsai; Victor L Garcia; James A Vosswinkel; Daniel N Rutigliano; Jerry A Rubano Journal: JAMIA Open Date: 2020-12-05