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Journal Article

Citation

Konda SR, Seymour R, Manoli A, Gales J, Karunakar MA. Bull. Hosp. Jt. Dis. (2013) 2016; 74(4): 298-305.

Copyright

(Copyright © 2016, J. Michael Ryan Publishing)

DOI

unavailable

PMID

27815954

Abstract

INTRODUCTION: This study aimed to develop a tool to quantify risk of inpatient mortality among geriatric and middleaged trauma patients. This study sought to demonstrate the ability of the novel risk score in the early identification of high risk trauma patients for resource-sparing interventions, including referral to palliative medicine.

MATERIALS AND METHODS: This retrospective cohort study utilized data from a single level 1 trauma center. Regression analysis was used to create a novel risk of inpatient mortality score. A total of 2,387 low energy and 1,201 high-energy middle-aged (range: 55 to 64 years of age) and geriatric (65 years of age or odler) trauma patients comprised the study cohort. Model validation was performed using 37,474 lowenergy and 97,034 high-energy patients from the National Trauma Databank (NTDB). Potential hospital cost reduction was calculated for early referral of high risk trauma patients to palliative medicine services in comparison to no palliative medicine referral.

RESULTS: Factors predictive of inpatient mortality among the study and validation patient cohorts included; age, Glasgow Coma Scale, and Abbreviated Injury Scale for the head and neck and chest. Within the validation cohort, the novel mortality risk score demonstrated greater predictive capacity than existing trauma scores [STTGMALE-AUROC: 0.83 vs. TRISS 0.80, (p < 0.01), STTGMAHE-AUROC: 0.86 vs. TRISS 0.85, (p < 0.01)]. Our model demonstrated early palliative medicine evaluation could produce $1,083,082 in net hospital savings per year.

CONCLUSION: This novel risk score for older trauma patients has shown fidelity in prediction of inpatient mortality; in the study and validation cohorts. This tool may be used for early intervention in the care of patients at high risk of mortality and resource expenditure.


Language: en

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