Browsing Centre for Primary Care & Mental Health by Author "Marincowitz, C"
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4 The risk of deterioration in CT identified mild traumatic brain injury: a systematic review and meta-analysis
Marincowitz, C; Lecky, F; Townend, W; Borakati, A; Sheldon, T (2017-12-01)© 2017, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. BACKGROUND: The optimal management ... -
Can patient frailty be estimated from inpatient records? A prospective cohort study
Marincowitz, C; Turner, V; Allgar, VL; Bellwood, J; Wheeler, A; Hale, M; Callaghan, H; Clegg, A; Sheldon, TA (2019) -
Development of a Clinical Decision Rule for the Early Safe Discharge of Patients with Mild Traumatic Brain Injury and Findings on Computed Tomography Brain Scan: A Retrospective Cohort Study.
Marincowitz, C; Lecky, FE; Allgar, V; Hutchinson, P; Elbeltagi, H; Johnson, F; Quinn, E; Tarantino, S; Townend, W; Kolias, AG (2020-01-15)International guidelines recommend routine hospital admission for all patients with mild traumatic brain injury (TBI) who have injuries on computed tomography (CT) brain scan. Only a small proportion of these patients ... -
Evaluation of the impact of the NICE head injury guidelines on inpatient mortality from traumatic brain injury: an interrupted time series analysis.
Marincowitz, C; Lecky, F; Allgar, V; Sheldon, T (2019-06-04)OBJECTIVE: To evaluate the impact of National Institute for Health and Care Excellence (NICE) head injury guidelines on deaths and hospital admissions caused by traumatic brain injury (TBI). SETTING: All hospitals in England ... -
External validation of the Dutch prediction model for prehospital triage of trauma patients in South West region of England, United Kingdom.
Shanahan, TAG; Fuller, GW; Sheldon, T; Turton, E; Quilty, FMA; Marincowitz, C (2021-01-28)IMPORTANCE: This paper investigates the use of a major trauma prediction model in the UK setting. We demonstrate that application of this model could reduce the number of patients with major trauma being incorrectly sent ... -
Impact of the SIGN head injury guidelines and NHS 4-hour emergency target on hospital admissions for head injury in Scotland: an interrupted times series.
Marincowitz, C; Lecky, FE; Morris, E; Allgar, V; Sheldon, TA (2018-12-22)OBJECTIVES: Head injury is a common reason for emergency department (ED) attendance. Around 1% of patients have life-threatening injuries, while 80% of patients are discharged. National guidelines (Scottish Intercollegiate ... -
Performance of the Hull Salford Cambridge Decision Rule (HSC DR) for early discharge of patients with findings on CT scan of the brain: a CENTER-TBI validation study.
Marincowitz, C; Gravesteijn, B; Sheldon, T; Steyerberg, E; Lecky, F (2021-07-27)BACKGROUND: There is international variation in hospital admission practices for patients with mild traumatic brain injury (TBI) and injuries on CT scan. Only a small proportion of patients require neurosurgical intervention, ... -
A protocol for the development of a prediction model in mild traumatic brain injury with CT scan abnormality: which patients are safe for discharge?
Marincowitz, C; Lecky, FE; Townend, W; Allgar, V; Fabbri, A; Sheldon, TA (2018)Background: Head injury is an extremely common clinical presentation to hospital emergency departments (EDs). Ninety-five percent of patients present with an initial Glasgow Coma Scale (GCS) score of 13-15, indicating a ... -
The Risk of Deterioration in GCS13-15 Patients with Traumatic Brain Injury Identified by Computed Tomography Imaging: A Systematic Review and Meta-Analysis
Marincowitz, C; Lecky, FE; Townend, W; Borakati, A; Fabbri, A; Sheldon, TA (Mary Ann Liebert, 2018-03-01)