Outcomes of traumatic brain injury patients in an adult intensive care unit of a South African regional hospital, without on-site neurosurgical service: A retrospective quantitative study on the neurological improvement at discharge
Main Article Content
Abstract
Background. Traumatic brain injury (TBI) is a major cause of mortality and disability. The South African (SA) province of Kwazulu-Natal faces challenges in providing appropriate care for TBI patients owing to limited resources and delayed access to healthcare services. We aimed to assess the outcomes of patients with TBI who were treated at a hospital without a neurosurgical unit (NSU).
Objectives. The primary objective was to compare the Glasgow Coma Scale (GCS) scores at admission and discharge from the intensive care unit (ICU) for patients with TBI receiving neuroprotection. Secondary objectives included analysing demographics and identifying predictive factors associated with GCS score improvement.
Methods. This retrospective study analysed data from the already established ICU Integrated Critical Care Electronic Database. Data on patient demographics, mechanisms of injury and GCS scores were collected and analysed.
Results. The analysis included 95 TBI patients, most of whom were young males. Interpersonal violence and transport-related trauma were the main causes of injury among patients. Approximately 63% of patients had a GCS score improvement >1 upon discharge from the ICU. Patients who received >12 hours of neuroprotection in the emergency department had significantly lower rates of improvement.
Conclusion. Sixty-three percent of TBI patients had improved GCS scores by >1 on discharge from the ICU, but outcomes varied. Delayed ICU admission from the emergency department of >12 hours might contribute to worse outcomes. Timely neuroprotection, improved access to neurosurgical care and better understanding of the factors affecting outcomes are needed.
Article Details
Issue
Section

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The SAJCC is published under an Attribution-Non Commercial International Creative Commons Attribution (CC-BY-NC 4.0) License. Under this license, authors agree to make articles available to users, without permission or fees, for any lawful, non-commercial purpose. Users may read, copy, or re-use published content as long as the author and original place of publication are properly cited.
Exceptions to this license model is allowed for UKRI and research funded by organisations requiring that research be published open-access without embargo, under a CC-BY licence. As per the journals archiving policy, authors are permitted to self-archive the author-accepted manuscript (AAM) in a repository.
How to Cite
References
Murray CJ, Lopez AD, Jamison DT. The global burden of disease in 1990: summary results, sensitivity analysis and future directions. Bulletin of the World Health Organization 1994;72(3):495-509.
Rizoli S, Petersen A, Bulger E, et al. Early prediction of outcome after severe traumatic brain injury: a simple and practical model. BMC Emerg Med 2016;16(1):32. https://doi.org/10.1016/ s1073-5437(08)70092-5
Patel HC, Bouamra O, Woodford M, King AT, Yates DW, Lecky FE. Trends in head injury outcome from 1989 to 2003 and the effect of neurosurgical care: an observational study. Lancet 2005;366(9496):1538-1544. https://doi.org/10.1016/s0140-6736(05)67626-x
Mid-year population estimates 2020 [press release]. http://www.statssa.gov.za/?p=13453 (accessed November 2023).
Hardcastle T, Oosthuizen G, Clarke D, Lutge E. Trauma, a preventable burden of disease in South Africa: review of the evidence, with a focus on KwaZulu-Natal. Health Systems Trust 2016:179-189. https://www.hst.org.za/publications/South%20African%20Health%20 Reviews/15%20Trauma%20a%20preventable%20burden%20of%20disease%20in%20South%20 Africa%20Review%20of%20the%20evidence%20with%20a%20focus%20on%20KZN.pdf
Gordon K, Allorto N, Wise R. Analysis of referrals and triage patterns in a South African metropolitan adult intensive care service. S Afr Med J 2015;105(6):491-495. https//doi. org/10.7196/samj.9007
Singh M, Maharaj R, Allorto N, Wise R. Profile of referrals to an intensive care unit from a regional hospital emergency centre in KwaZulu-Natal. Afr J Emerg Med 2021;11(4):471-476. https://doi.org/10.1016/j.afjem.2021.07.006
Lulla A, Lumba-Brown A, Totten AM, et al. Prehospital Guidelines for the Management of Traumatic Brain Injury – 3rd Edition. Prehospital Emerg Care 2023:1-32. https://doi.org/10.10 80/10903127.2023.2187905
Jacobs B, Beems T, Stulemeijer M, et al. Outcome prediction in mild traumatic brain injury: age and clinical variables are stronger predictors than CT abnormalities. J Neurotrauma 2010;27(4):655-668. https://doi.org/10.1089/neu.2009.1059
Zulu BMW, Mulaudzi TV, Madiba TE, Muckart DJJ. Outcome of head injuries in general surgical units with an off-site neurosurgical service. Injury 2007;38(5):576-583. https://doi.org/10.1016/j. injury.2007.01.002
Alexander T, Fuller G, Hargovan P, Clarke D, J Muckart D, Thomson S. An audit of the quality of care of traumatic brain injury at a busy regional hospital in South Africa. S Afr J Surg 2009;47(4):120-122, 124-126. https://pubmed.ncbi.nlm.nih.gov/20141069/
Allorto NL, Wise RD. Development and evaluation of an integrated electronic data management system in a South African metropolitan critical care service. Southern Afr J Anaesthesia Analg 2015;21(6):173-177. https://doi.org/10.1080/22201181.2015.1115607
Butcher I, McHugh GS, Lu J, et al. Prognostic Value of Cause of Injury in Traumatic Brain Injury: Results from The IMPACT Study. J Neurotrauma 2007;24(2):281-286. https://doi.org/10.1089/ neu.2006.0030
MRC CRASH Trial Collaborators. Perel P AM, Clayton T, Edwards P, et al. Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients. BMJ 2008;336(7641):425-429. https://doi.org/10.1136/bmj.39461.643438.25
Brennan PM, Murray GD, Teasdale GM. Simplifying the use of prognostic information in traumatic brain injury. Part 1: The GCS-Pupils score: an extended index of clinical severity. J Neurosurg 2018;128(6):1612-1620. https://doi.org/10.3171/2017.12.jns172780
Edwards P, Arango M, Balica L, et al. Final results of MRC CRASH, a randomised placebo- controlled trial of intravenous corticosteroid in adults with head injury-outcomes at 6 months. Lancet 2005;365(9475):1957-1959. https://doi.org/10.1016/s0140-6736(05)66552-x
Steyerberg EW, Mushkudiani N, Perel P, et al. Predicting Outcome after Traumatic Brain Injury: Development and International Validation of Prognostic Scores Based on Admission Characteristics. PLoS Med 2008;5(8):e165. https://doi.org/10.1371/journal.pmed.0050165
Sobuwa S, Hartzenberg HB, Geduld H, Uys C. Predicting outcome in severe traumatic brain injury using a simple prognostic model. S Afr Med J 2014;104(7):492-494. https://doi. org/10.7196/samj.7720
Moodley NB, Clarke DL, Aldous C. Current trauma patterns in Pietermaritzburg. S Afr J Surg 2015;53:37-39. https://pubmed.ncbi.nlm.nih.gov/28240482/
Murray GD, Butcher I, McHugh GS, et al. Multivariable prognostic analysis in traumatic brain injury: results from the IMPACT study. J Neurotrauma 2007;24(2):329-337. https://doi. org/10.1089/neu.2006.0035
Mushkudiani NA, Engel DC, Steyerberg EW, et al. Prognostic Value of Demographic Characteristics in Traumatic Brain Injury: Results from The IMPACT Study. J Neurotrauma 2007;24(2):259-269. https://doi.org/10.1089/neu.2006.0028