Faculty Collaboration Database

Cardiac complications and failure to rescue after injury in a mature state trauma system: Towards identifying opportunities for improvement. Injury 2020 May;51(5):1216-1223

Date

03/04/2020

Pubmed ID

32122623

DOI

10.1016/j.injury.2020.02.003

Scopus ID

2-s2.0-85080114207 (requires institutional sign-in at Scopus site)   2 Citations

Abstract

INTRODUCTION: Cardiac complications (CC) after injury are rare but contribute disproportionately to mortality. Variability in rates of CC and failure to rescue (FTR) after CC (FTR-C) within trauma systems may suggest opportunities for improvement, but we have not yet demonstrated the ability to identify high and low performers. We examined center-level rates of CC and FTR-C in a mature trauma system with the hypothesis that high-performing centers for each of these outcomes could be identified.

METHODS: Using a statewide trauma registry from 2007-2015, we developed multivariable logistic regression models on CC and FTR-C including patient demographics, physiology, comorbidity, and injury data. Predicted probabilities of each outcome were summed to generate expected event rates, which were compared to observed event rates to generate centerlevel observed-to-expected (O:E) ratios. We measured internal consistency between CC and FTR-C for centers using Cronbach's alpha.

RESULTS: Cardiac complications occurred in 5,079/278,042 (1.8%; center-level range: 0.9-3.8%) of included patients (median age 55 (IQR 34-76), 84% Caucasian, 60% male, 92% blunt, median ISS 9 (IQR5-16)). Death after CC occurred in 982/5,097 patients for an FTR-C rate of 19.3% (center-level range: 7.8-30.4%). 10/27 centers were high-performers (95% confidence interval for O:E ratio <1) for CC and 2/27 centers were high-performers for FTR-C, but internal consistency between these metrics was poor (alpha = 0.31).

CONCLUSION: Rates of CC and FTR-C vary significantly between hospitals in mature trauma systems but high-performing centers can be identified. Inconsistent performance between metrics suggests unknown institutional factors underlie performance for CC and FTR.

Author List

Scantling D, Hatchimonji J, Kaufman EJ, Xiong A, Yang P, Christie JD, Reilly PM, Holena DN

Author

Daniel N. Holena MD Professor in the Surgery department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Adult
Aged
Aged, 80 and over
Comorbidity
Failure to Rescue, Health Care
Female
Heart Diseases
Hospital Mortality
Humans
Logistic Models
Male
Middle Aged
Pennsylvania
ROC Curve
Registries
Retrospective Studies
Trauma Centers
Wounds and Injuries