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Shih RD, Alter SM, Wells M, Solano JJ, Engstrom G, Clayton LM, Hughes PG, Goldstein L, Lottenberg L, Ouslander JG. The Florida Geriatric Head Trauma CT Clinical Decision Rule. J Am Geriatr Soc 2024. [PMID: 38959158 DOI: 10.1111/jgs.19057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 05/24/2024] [Accepted: 06/05/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Several clinical decision rules have been devised to guide head computed tomography (CT) use in patients with minor head injuries, but none have been validated in patients 65 years or older. We aimed to derive and validate a head injury clinical decision rule for older adults. METHODS We conducted a secondary analysis of an existing dataset of consecutive emergency department (ED) patients >65 years old with blunt head trauma. The main predictive outcomes were significant intracranial injury and Need for Neurosurgical Intervention on CT. The secondary outcomes also considered in the model development and validation were All Injuries and All Intracranial Injuries. Predictor variables were identified using multiple variable logistic regression, and clinical decision rule models were developed in a split-sample derivation cohort and then tested in an independent validation cohort. RESULTS Of 5776 patients, 233 (4.0%) had significant intracranial injury and an additional 104 (1.8%) met CT criteria for Need for Neurosurgical Intervention. The best performing model, the Florida Geriatric Head Trauma CT Clinical Decision Rule, assigns points based on several clinical variables. If the points totaled 25 or more, a CT scan is indicated. The included predictors were arrival via Emergency Medical Services (+30 points), Glasgow Coma Scale (GCS) <15 (+20 points), GCS <14 (+50 points), antiplatelet medications (+17 points), loss of consciousness (+16 points), signs of basilar skull fracture (+50 points), and headache (+20 points). Utilizing this clinical decision rule in the validation cohort, a point total ≥25 had a sensitivity and specificity of 100.0% (95% CI: 96.0-100) and 12.3% (95% CI: 10.9-13.8), respectively, for significant intracranial injury and Need for Neurosurgical Intervention. CONCLUSIONS The Florida Geriatric Head Trauma CT Clinical Decision Rule has the potential to reduce unnecessary CT scans in older adults, without compromising safe emergency medicine practice.
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Affiliation(s)
- Richard D Shih
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA
- Depatment of Emergency Medicine, Delray Medical Center, Delray Beach, Florida, USA
| | - Scott M Alter
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA
- Depatment of Emergency Medicine, Delray Medical Center, Delray Beach, Florida, USA
- Depatment of Emergency Medicine, Bethesda Hospital East, Boynton Beach, Florida, USA
| | - Mike Wells
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA
| | - Joshua J Solano
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA
- Depatment of Emergency Medicine, Delray Medical Center, Delray Beach, Florida, USA
- Depatment of Emergency Medicine, Bethesda Hospital East, Boynton Beach, Florida, USA
| | - Gabriella Engstrom
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA
| | - Lisa M Clayton
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA
- Depatment of Emergency Medicine, Delray Medical Center, Delray Beach, Florida, USA
- Depatment of Emergency Medicine, Bethesda Hospital East, Boynton Beach, Florida, USA
| | - Patrick G Hughes
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA
- Depatment of Emergency Medicine, Delray Medical Center, Delray Beach, Florida, USA
- Depatment of Emergency Medicine, Bethesda Hospital East, Boynton Beach, Florida, USA
| | - Lara Goldstein
- Department of Emergency Medicine, Memorial Healthcare System, Hollywood, Florida, USA
| | - Lawrence Lottenberg
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA
- Department of Surgery, St. Mary's Medical Center, West Palm Beach, Florida, USA
| | - Joseph G Ouslander
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA
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Ha NT, Abdullah L, Bulsara M, Celenza A, Doust J, Fatovich D, McRobbie D, Mountain D, O’Leary P, Slavotinek J, Wright C, Youens D, Moorin R. The use of computed tomography in the management of injury in tertiary emergency departments in Western Australia: Evidence of overtesting? Acad Emerg Med 2022; 29:193-205. [PMID: 34480498 DOI: 10.1111/acem.14385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 08/29/2021] [Accepted: 09/01/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND This study investigated trends in computed tomography (CT) utilization across different triage categories of injury presentations to tertiary emergency departments (EDs) and associations with diagnostic yield measured by injury severity, hospitalization and length of stay (LOS), and mortality. METHODS A total of 411,155 injury-related ED presentations extracted from linked records from Western Australia from 2004 to 2015 were included in the retrospective study. The use of CT scanning and diagnostic yield measured by rate of diagnosis with severe injury, hospitalizations and LOS, and mortality were captured annually for injury-related ED presentations. Multivariable regression models were used to calculate the annual adjusted rate of CT scanning for injury presentations and hospitalizations across triage categories, diagnosis with severe injury, LOS, and mortality. The significance of changes observed was compared among patients with CT imaging relative to those without CT. RESULTS While the number of ED presentations with injury increased by 65% from 2004 to 2015, the use of CT scanning in these presentations increased by 176%. The largest increase in CT use was among ED presentations triaged as semi-/nonurgent (+256%). Injury presentations with CT, compared to those without, had a higher rate of diagnosis with moderate/severe injury and hospitalization but no difference in LOS and mortality. The probability/rate observed in the outcomes of interest had a greater decrease over time in those with CT scanning compared with those without CT scanning across triage categories. CONCLUSIONS The reduction in diagnostic yield in terms of injury severity and hospitalization found in our study might indicate a shift toward overtesting using CT in ED for injury or a higher use of CT to assist in the management of injuries. This helps health care policymakers consider whether the current increase in CT use meets the desired levels of quality and efficient care.
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Affiliation(s)
- Ninh T. Ha
- Health Economics and Data Analytics Curtin School of Population Health Faculty of Health Sciences Curtin University Perth Western Australia Australia
| | - Lana Abdullah
- Health Economics and Data Analytics Curtin School of Population Health Faculty of Health Sciences Curtin University Perth Western Australia Australia
| | - Max Bulsara
- Institute for Health Research University of Notre Dame Fremantle Western Australia Australia
- Centre for Health Services Research School of Population and Global Health The University of Western Australia Perth Western Australia Australia
| | - Antonio Celenza
- Department of Emergency Medicine Sir Charles Gairdner Hospital Nedlands Western Australia Australia
- Division of Emergency Medicine Medical School University of Western Australia Perth Western Australia Australia
| | - Jenny Doust
- Centre for Longitudinal and Life Course Research Faculty of Medicine University of Queensland Brisbane Queensland Australia
| | - Daniel Fatovich
- Division of Emergency Medicine Medical School University of Western Australia Perth Western Australia Australia
- Emergency Department Royal Perth Hospital Perth Western Australia Australia
- Centre for Clinical Research in Emergency Medicine Harry Perkins Institute of Medical Research Perth Western Australia Australia
| | - Donald McRobbie
- School of Physical Sciences University of Adelaide Adelaide South Australia Australia
| | - David Mountain
- Department of Emergency Medicine Sir Charles Gairdner Hospital Nedlands Western Australia Australia
- Division of Emergency Medicine Medical School University of Western Australia Perth Western Australia Australia
- Curtin University Medical School Faculty of Health Sciences Curtin University Perth Western Australia Australia
| | - Peter O’Leary
- Health Economics and Data Analytics Curtin School of Population Health Faculty of Health Sciences Curtin University Perth Western Australia Australia
- Obstetrics and Gynaecology Medical School Faculty of Health and Medical Sciences The University of Western Australia Perth Western Australia Australia
- PathWest Laboratory Medicine QE2 Medical Centre Nedlands Western Australia Australia
| | - John Slavotinek
- SA Medical Imaging SA Health and College of Medicine and Public Health Flinders University Adelaide South Australia Australia
| | - Cameron Wright
- Health Economics and Data Analytics Curtin School of Population Health Faculty of Health Sciences Curtin University Perth Western Australia Australia
- Fiona Stanley Hospital Murdoch Western Australia Australia
- Division of Internal Medicine Medical School Faculty of Health and Medical Sciences University of Western Australia Perth Western Australia Australia
- School of Medicine College of Health and Medicine University of Tasmania Hobart Tasmania Australia
| | - David Youens
- Health Economics and Data Analytics Curtin School of Population Health Faculty of Health Sciences Curtin University Perth Western Australia Australia
| | - Rachael Moorin
- Health Economics and Data Analytics Curtin School of Population Health Faculty of Health Sciences Curtin University Perth Western Australia Australia
- Centre for Health Services Research School of Population and Global Health The University of Western Australia Perth Western Australia Australia
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