Dr Carl Marincowitz
MSc, PhD, FRCEM, MB, BChir
Population Health, School of Medicine and Population Health
Senior Clinical Lecturer
Honorary Consultant Emergency Medicine Sheffield Teaching Hospitals
Full contact details
Population Health, School of Medicine and Population Health
Regent Court (ScHARR)
30 Regent Street
Sheffield
S1 4DA
- Profile
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I am currently completing an NIHR Advanced Fellowship. I have also completed an NIHR Clinical Lectureship, an NIHR Doctoral Research Fellowship, and speciality training in Emergency Medicine.
My research uses routinely collected healthcare data to evaluate and develop systems-based interventions in urgent, emergency, and wider health and social care. I have a clinical research interest in Traumatic Brain Injury.
- Research interests
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- Routinely collected healthcare data
- Systematic reviews
- Quasi-experimental methods
- Mixed methods
- Prognostic modelling and risk prediction
- Publications
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Show: Featured publications All publications
Featured publications
Journal articles
- External validation of the Dutch prediction model for prehospital triage of trauma patients in South West region of England, United Kingdom. Injury. View this article in WRRO
- Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study. PLoS ONE, 16(1). View this article in WRRO
- 59 Performance of the mTBI decision rule for early discharge of patients with findings on CT: a center-TBI validation study. Emergency Medicine Journal, 37(12), 824-825. View this article in WRRO
- Development of a clinical decision rule for the early safe discharge of patients with mild traumatic brain injury and findings on CT brain scan : a retrospective cohort study. Journal of Neurotrauma. View this article in WRRO
- Evaluation of the impact of the NICE head injury guidelines on inpatient mortality from traumatic brain injury: an interrupted time series analysis.. BMJ Open, 9(6). View this article in WRRO
- The Risk of Deterioration in GCS13–15 Patients with Traumatic Brain Injury Identified by Computed Tomography Imaging: A Systematic Review and Meta-Analysis. Journal of Neurotrauma, 35(5), 703-718. View this article in WRRO
All publications
Journal articles
- Prognostic accuracy of eight triage scores in suspected COVID-19 in an Emergency Department low-income setting: An observational cohort study. African Journal of Emergency Medicine, 14(1), 51-57.
- Reducing unplanned hospital admissions from care homes: a systematic review. Health and Social Care Delivery Research, 11(18). View this article in WRRO
- Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting. PLOS Digital Health, 2(9). View this article in WRRO
- Major trauma presentations and patient outcomes in English hospitals during the COVID-19 pandemic: An observational cohort study.. PLoS Med, 20(6), e1004243.
- An Unusual cause of Endocarditis. BMJ Case Reports, 15(12), e249214-e249214.
- What influences decisions to transfer older care-home residents to the emergency department? A synthesis of qualitative reviews. Age and Ageing, 51(11).
- Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19 : development, application and comparison of machine learning and deep learning methods. Computers in Biology and Medicine. View this article in WRRO
- Factors associated with increased Emergency Department transfer in older long-term care residents: a systematic review. The Lancet Healthy Longevity, 3(6), e437-e447.
- Accuracy of emergency medical service telephone triage of need for an ambulance response in suspected COVID-19: an observational cohort study.. BMJ Open, 12(5), e058628.
- Accuracy of telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study. BMJ Quality and Safety. View this article in WRRO
- 965 Accuracy of emergency (999) telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study. Emergency Medicine Journal, 39(3), 250.1-250. View this article in WRRO
- 798 Accuracy of telephone triage for predicting adverse outcomes in suspected COVID-19: an observational cohort study. Emergency Medicine Journal, 39(3), 256-256. View this article in WRRO
- 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. Emergency Medicine Journal.
- Prognostic accuracy of emergency department triage tools for adults with suspected COVID-19: the PRIEST observational cohort study.. Emerg Med J.
- Predicting need for hospital admission in patients with traumatic brain injury or skull fractures identified on CT imaging : a machine learning approach. Emergency Medicine Journal.
- External validation of the Dutch prediction model for prehospital triage of trauma patients in South West region of England, United Kingdom. Injury. View this article in WRRO
- Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study. PLoS ONE, 16(1). View this article in WRRO
- 59 Performance of the mTBI decision rule for early discharge of patients with findings on CT: a center-TBI validation study. Emergency Medicine Journal, 37(12), 824-825. View this article in WRRO
- Electrocardiographic characteristics in patients with heart failure and normal ejection fraction: A systematic review and meta‐analysis. Annals of Noninvasive Electrocardiology, 25(1).
- Development of a clinical decision rule for the early safe discharge of patients with mild traumatic brain injury and findings on CT brain scan : a retrospective cohort study. Journal of Neurotrauma. View this article in WRRO
- Evaluation of the impact of the NICE head injury guidelines on inpatient mortality from traumatic brain injury: an interrupted time series analysis.. BMJ Open, 9(6). View this article in WRRO
- 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. BMJ Open, 8(12). View this article in WRRO
- A protocol for the development of a prediction model in mild traumatic brain injury with CT scan abnormality: which patients are safe for discharge?. Diagnostic and Prognostic Research, 2. View this article in WRRO
- Postmortem ICD interrogation in mode of death classification. Journal of Cardiovascular Electrophysiology, 29(4), 573-583.
- The Risk of Deterioration in GCS13–15 Patients with Traumatic Brain Injury Identified by Computed Tomography Imaging: A Systematic Review and Meta-Analysis. Journal of Neurotrauma, 35(5), 703-718. View this article in WRRO
- 4 The risk of deterioration in CT identified mild traumatic brain injury: a systematic review and meta-analysis. Emergency Medicine Journal, 34(12), A862-A863.
- CT head imaging in patients with head injury who present after 24 h of injury: a retrospective cohort study. Emergency Medicine Journal, 33(8), 538-542.
- The risk of intra-cranial haemorrhage in those presenting late to the ED following a head injury: a systematic review. Systematic Reviews, 4(1).
- External validation of triage tools for adults with suspected COVID-19 in a middle-income setting: an observational cohort study. Emergency Medicine Journal.
- LMIC-PRIEST: Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19 in a middle-income setting. PLoS ONE.
- Prognostic accuracy of triage tools for adults with suspected COVID-19 in a prehospital setting: an observational cohort study. Emergency Medicine Journal.
- The burden of traumatic brain injury from low-energy falls among patients from 18 countries in the CENTER-TBI Registry: A comparative cohort study. PLOS Medicine, 18(9), e1003761-e1003761.
- Post-exertion oxygen saturation as a prognostic factor for adverse outcome in patients attending the emergency department with suspected COVID-19: a substudy of the PRIEST observational cohort study. Emergency Medicine Journal.
- Characterisation of 22446 patients attending UK emergency departments with suspected COVID-19 infection: Observational cohort study. View this article in WRRO
- Characterisation of 22445 patients attending UK emergency departments with suspected COVID-19 infection: Observational cohort study. PLOS ONE, 15(11), e0240206-e0240206.
- Prognostic accuracy of triage tools for adults with suspected COVID-19 in a pre-hospital setting: an observational cohort study.
Conference proceedings papers
- 1482 Prognostic accuracy of triage tools for adults with suspected COVID-19 in a middle-income setting. Emergency Medicine Journal, Vol. 39(12) (pp A976-A977)
- 049 Development of a clinical decision rule for the early safe discharge of patients with mild traumatic brain injury and findings on CT brain scan: a retrospective cohort study. Emergency Medicine Journal, Vol. 36(12) (pp 808)
- 016 An evaluation of the impact of the NICE head injury guidelines on inpatient mortality from traumatic brain injury: an interrupted time series analysis. Emergency Medicine Journal, Vol. 36(12) (pp 782)
- The Risk of Deterioration in GCS13-15 Patients with Traumatic Brain Injury Identified by CT Imaging. A Systematic Review and Meta-Analysis. BRAIN INJURY, Vol. 33 (pp 68-68)
- The Development of a Prediction Model in Mild Traumatic Brain Injury with CT Scan Abnormality: Preliminary Findings of A Multi-Centre Cohort Study. BRAIN INJURY, Vol. 33 (pp 67-67)
- The Impact of the NICE/SIGN Head Injury Guidelines on Deaths and Hospital Admissions in England and Scotland: An Interrupted Times Series. BRAIN INJURY, Vol. 33 (pp 67-68)
Other
- Response to performance of the Hull Salford Cambridge Decision Rule: the start of the traumatic brain injury (TBI) assessment and recovery journey. Emergency Medicine Journal.
Preprints
- LMIC-PRIEST: Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19 in a middle-income setting, Cold Spring Harbor Laboratory.
- A study protocol for a retrospective cohort study and interrupted time series analysis to assess the effect of the COVID-19 pandemic on major trauma presentations and patient outcomes in English hospitals, medRxiv.
- Prognostic accuracy of triage tools for adults with suspected COVID-19 in a middle-income setting: an observational cohort study, Cold Spring Harbor Laboratory.
- Pre-Hospital Prediction of Adverse Outcomes in Patients with Suspected COVID-19: Development, Application and Comparison of Machine Learning and Deep Learning Methods.
- Accuracy of emergency medical service telephone triage of need for an ambulance response in suspected COVID-19: An observational cohort study.
- Accuracy of telephone triage for predicting adverse outcome in suspected COVID-19: An observational cohort study.
- Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study, Cold Spring Harbor Laboratory.
- Prognostic accuracy of emergency department triage tools for adults with suspected COVID-19: The PRIEST observational cohort study, Cold Spring Harbor Laboratory.
- Prognostic accuracy of emergency department triage tools for children with suspected COVID-19: The PRIEST observational cohort study, Cold Spring Harbor Laboratory.
- Research group
- Grants
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2024
National Institute for Health Research Advanced Fellowship. Understanding and addressing variation in Emergency Department attendances and inpatient admissions from care homes: a mixed methods study. £837,968 (Personal Award).
2021
Reducing unplanned hospital admissions from care homes: an updated and extended systematic review, NIHR, HS&DR. £94,859 (Co-applicant).
The PRIEST (Pandemic Respiratory Infection Emergency System Triage) Study for Low and Middle-Income Countries, International COVID-19 Data Alliance (Bill and Melinda Gates Foundation). £71,747 (Chief Investigator).
2020
Pandemic Respiratory Infection Emergency System Triage, National Institute for Health Research, contract variation. £250,000 (Co-Chief Investigator).
University of Sheffield Clinical Academic Training Pump-priming Awards for Clinical Lecturers: Exploring reasons for variability in Emergency Department Attendances between care homes in the Yorkshire and Humber region. £4000 (Personal Award).
CENTER-TBI Scholarship £1200 (Personal Award).
2016
National Institute for Health Research Doctoral Research Fellowship. The Management of Traumatic Brain Injury: An Impact Assessment and Further Development. £337,530 (Personal Award).