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Treatment Disparities in Traumatic Upper Extremity Nerve Injuries A. Peymani 1,2 , A.R. Johnson 2 , A.S. Dowlatshahi 2 , S.D. Strackee 1 , S.J. Lin 2 (1) Department of Plastic, Reconstructive and Hand Surgery, University of Amsterdam, Amsterdam, The Netherlands (2) Division of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA Background Early recognition and treatment of traumatic upper extremity nerve injuries are paramount to optimize patient outcomes. Currently, a knowledge gap remains in regards to classification, distribution and variations in care delivery of nerve injuries treated in the emergency department (ED). The aim of this study is to evaluate patient demographics, injury characteristics, care delivery, and resource utilization in traumatic upper extremity nerve injuries in the acute setting in the United States. Methods We queried the National Trauma Data Bank (NTDB), the largest aggregation of U.S. trauma registry data, to identify all patients with nerve injuries of the upper extremity presenting to the ED in 2015. Patient sociodemographic information, injury specifics, and hospital characteristics were extracted for each patient. Multivariate regression analyses were performed to identify and quantify risk factors affecting ED time and hospital length of stay. Results A total of 5,742 patients with upper extremity nerve injuries were identified. Distribution of most commonly injured nerve in order of decreasing frequency included: ulnar (28%), radial (22%), median (20%) and digital nerves (19%). Total ED time was significantly higher in females (P=0.002) and patients with increased age (P=0.004). Hospital stay was longer for females (P=0.004), patients of increased age (P<0.001), and those with a higher injury severity score (P<0.001). Conclusion Our study identified specific patient and hospital-level factors associated with increased wait time and length of the stay in the hospital setting for acute peripheral nerve injuries. Future studies, particularly those with longer follow-up time that describe patient outcomes, are needed to facilitate better understanding of the interplay of these identified factors and how they effect initial management and treatment. nerve injuries 11% 19% 22% 28% 20% median ulnar radial digital other Patients (n=5,742) Age 35.5 ± 17.8 Female 1346 (23.4%) Race - White 3564 (64.4%) - Black 1149 (20.8%) - Other 819 (14.8%) Insurance - Medicaid 1247 (21.7%) - Medicare 436 (7.6%) - Private 2373 (41.3%) - Self Pay 1067 (18.6%) - Other 619 (10.8%) Work-related injury 775 (14.3%) Alcohol use 364 (6.5%) Drug use 775 (17.0%) Injury Severity Score 7.4 ± 6.6 Total ED time, minutes 182 (99-305) Length-of-stay, days 4.9 ± 7.1 ED time (minutes) P Age (per SD increase) +25.2 0.004 Female +35.3 0.002 Caucasian -48.3 <0.001 Private Insurance +4.7 0.626 Injury Severity Score -4.1 <0.001 Trauma Center Level -50.1 <0.001 Hospital Size -15.7 0.002 Length of stay (days) P Age (per SD increase) +0.9 <0.001 Female +0.7 0.001 Caucasian -0.2 0.423 Private Insurance +0.1 0.419 Injury Severity Score +0.6 <0.001 Trauma Center Level -0.5 <0.001 Hospital Size +0.0 0.902

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Page 1: Treatment Disparities in Traumatic Upper Extremity Nerve Injuriesfessh2018.com › posterview › posterlist › down › A-0996.pdf · nerve injuries. Future studies, particularly

Treatment Disparities in Traumatic Upper Extremity Nerve InjuriesA. Peymani1,2, A.R. Johnson2, A.S. Dowlatshahi2, S.D. Strackee1, S.J. Lin2

(1) Department of Plastic, Reconstructive and Hand Surgery, University of Amsterdam, Amsterdam, The Netherlands (2) Division of Plastic and Reconstructive Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA

Background

Early recognition and treatment of traumatic upper extremity nerve injuries are paramount to optimize patient outcomes. Currently, a knowledge gap remains in regards to classification, distribution and variations in care delivery of nerve injuries treated in the emergency department (ED). The aim of this study is to evaluate patient demographics, injury characteristics, care delivery, and resource utilization in traumatic upper extremity nerve injuries in the acute setting in the United States.

Methods

We queried the National Trauma Data Bank (NTDB), the largest aggregation of U.S. trauma registry data, to identify all patients with nerve injuries of the upper extremity presenting to the ED in 2015. Patient sociodemographic information, injury specifics, and hospital characteristics were extracted for each patient. Multivariate regression analyses were performed to identify and quantify risk factors affecting ED time and hospital length of stay.

Results

A total of 5,742 patients with upper extremity nerve injuries were identified. Distribution of most commonly injured nerve in order of decreasing frequency included: ulnar (28%), radial (22%), median (20%) and digital nerves (19%). Total ED time was significantly higher in females (P=0.002) and patients with increased age (P=0.004). Hospital stay was longer for females (P=0.004), patients of increased age (P<0.001), and those with a higher injury severity score (P<0.001).

Conclusion

Our study identified specific patient and hospital-level factors associated with increased wait time and length of the stay in the hospital setting for acute peripheral nerve injuries.

Future studies, particularly those with longer follow-up time that describe patient outcomes, are needed to facilitate better understanding of the interplay of these identified factors and how they effect initial management and treatment.

nerve injuries

11%

19%

22%

28%

20%

median ulnar radialdigital other

Patients (n=5,742) Age 35.5 ± 17.8 Female 1346 (23.4%)

Race - White 3564 (64.4%) - Black 1149 (20.8%)

- Other 819 (14.8%) Insurance - Medicaid 1247 (21.7%)

- Medicare 436 (7.6%) - Private 2373 (41.3%) - Self Pay 1067 (18.6%) - Other 619 (10.8%) Work-related injury 775 (14.3%) Alcohol use 364 (6.5%) Drug use 775 (17.0%) Injury Severity Score 7.4 ± 6.6 Total ED time, minutes 182 (99-305) Length-of-stay, days 4.9 ± 7.1

ED time(minutes)

P

Age (per SD increase) +25.2 0.004 Female +35.3 0.002 Caucasian -48.3 <0.001 Private Insurance +4.7 0.626 Injury Severity Score -4.1 <0.001 Trauma Center Level -50.1 <0.001 Hospital Size -15.7 0.002

Length of stay(days)

P

Age (per SD increase) +0.9 <0.001 Female +0.7 0.001 Caucasian -0.2 0.423 Private Insurance +0.1 0.419 Injury Severity Score +0.6 <0.001 Trauma Center Level -0.5 <0.001 Hospital Size +0.0 0.902