000			04395nam a22007097a 4500
008			210218s20212021 xxu||||| |||| 00| 0 eng d
022			_a1559-047X
024			_a10.1093/jbcr/irab020 [doi]
024			_a6126773 [pii]
040			_aOvid MEDLINE(R)
099			_a33530107
245			_aInstitutional Experience Using a Treatment Algorithm for Electrical Injury.
251			_aJournal of Burn Care & Research. 42(3):351-356, 2021 05 07.
252			_aJ Burn Care Res. 42(3):351-356, 2021 05 07.
252			_zJ Burn Care Res. 2021 Feb 02
253			_aJournal of burn care & research : official publication of the American Burn Association
260			_c2021
260			_fFY2021
265			_saheadofprint
265			_sppublish
266			_d2021-02-18
268			_aJournal of Burn Care & Research. 2021 Feb 02
269			_fFY2021
501			_aAvailable online through MWHC library: 2006 - present, Available in print through MWHC library: 2006 - present
520			_aElectrical injury has low incidence but is associated with high morbidity and mortality. Variability in diagnosis and management among clinicians can lead to unnecessary testing. This study examines the utility of an electrical injury treatment algorithm by comparing the incidence of testing done on a cohort of patients before and after implementation. Demographics, injury characteristics, and treatment information were collected for patients arriving to a regional burn center with the diagnosis of electrical injury from January 2013 to September 2018. Results were compared for patients admitted before and after the implementation of an electrical injury treatment algorithm in July 2015. There were 56 patients in the pre-algorithm cohort and 38 in the post-algorithm cohort who were of similar demographics. The proportion of creatine kinase (82% vs. 47%, p<0.0006), troponin (79% vs. 34%, p<0.0001), and urinary myoglobin (80% vs. 45%, p<0.0007) testing in the pre-algorithm cohort was significantly higher compared to post-algorithm cohort. There were more days of telemetry monitoring (median (IQR), 1 (1-5) vs. 1 (1-1) days, p=0.009) and greater ICU length of stays (4 (1-5) vs. 1 (1-1) days, p=0.009), prior to algorithm implementation. There were no significant differences in total hospital lengths of stay, incidence of ICU admissions, in-hospital mortality, or 30-day readmissions. This study demonstrates an electrical injury evaluation and treatment algorithm suggests a mode of triage to cardiac monitoring and hospital admission where necessary. Use of this algorithm allowed for reduction in testing and health care costs without increasing mortality or readmission rates. Copyright (c) The Author(s) 2021. Published by Oxford University Press on behalf of the American Burn Association. All rights reserved. For permissions, please e-mail: [email protected].
546			_aEnglish
650			_a*Algorithms
650			_a*Burns, Electric/th [Therapy]
650			_a*Outcome Assessment, Health Care
650			_aAdult
650			_aBiomarkers/me [Metabolism]
650			_aBurn Units
650			_aBurns, Electric/mo [Mortality]
650			_aFemale
650			_aHealth Care Costs
650			_aHospital Mortality
650			_aHumans
650			_aIntensive Care Units/sn [Statistics & Numerical Data]
650			_aLength of Stay/sn [Statistics & Numerical Data]
650			_aMale
650			_aPatient Readmission/sn [Statistics & Numerical Data]
650			_aRetrospective Studies
650			_aTelemetry
650			_aTriage
651			_aMedStar Health Research Institute
651			_aMedStar Washington Hospital Center
656			_aFirefighters' Burn and Surgical Research Laboratory
656			_aMedStar Health Research Institut
656			_aSurgery/Burn Services
657			_aJournal Article
700			_aJohnson, Laura
700			_aKeyloun, John Wilkerson
700			_aKolachana, Sindhura
700			_aMcLawhorn, Melissa M
700			_aMoffatt, Lauren T
700			_aNisar, Saira
700			_aShupp, Jeffrey W
700			_aTravis, Taryn E
790			_aJohnson LS, Keyloun JW, Kolachana S, McLawhorn MM, Moffatt LT, Nisar S, Shupp JW, Travis TE
856			_uhttps://dx.doi.org/10.1093/jbcr/irab020 _zhttps://dx.doi.org/10.1093/jbcr/irab020
942			_cART _dArticle
999			_c6153 _d6153