Abstract
Background
A well-organized and efficient prehospital transport is associated with improved outcome in trauma patients. In Nigeria, there is paucity of information on prehospital transport of patients with spinal cord injury (SCI) and its relation to mortality.
Objective
To determine if prehospital transportation is a predictor of mortality in patients with SCI in Nigeria.
Design
Prospective cohort study
Methods
Prehospital transport related conditions, injury arrival intervals and persons that brought patients with SCI to the casualty were noted. Data analyzed using descriptive statistics, the chi-square test and multiple logistic regressions.
Main Outcome Measures
Mortality within 6 weeks on admission
Results
168 patients with SCI presented in the casualty during this review period. Majority (67.9%) presented after 24 hrs of the injury. Majority (58.3%) were conveyed into the casualty by their relatives. Salon car (54.2%) was the most common mode of transportation where majority (55.4%) laid on their back during the transfer. Majority (75%) of the patients had multiple hospital presentation before reporting in our casualty.
The mortality observed was 16.7%. Multivariate analysis after adjusting for age, gender, and means of transportation revealed that age (OR= 63.41, 95% CI= 9.24-43.53), crouched position during transfer (OR= 23.52, 95% CI= 7.26-74.53), presentation after 24 hrs (OR=5.48, 95% CI=3.20-16.42) and multiple hospital presentation (OR= 7.94, 95% CI= 1.89-33.43) were associated with mortality within 6 weeks of admission.
Conclusion
A well-organized and efficient prehospital transport would reduce mortality in spinal cord injured patients. Public enlightenment campaign on factors that could reduce road traffic injury would help reduce mortality.
Keywords: Nigeria, Spinal cord injury, Prehospital transport, Mortality, Univariate, Multiple logistic progressions
Introduction
In Nigeria, spinal cord injury (SCI) is associated with significant morbidity and mortality.1–8 The socio-economic realities, inadequate immediate attendant care, and the near-absent rehabilitation of people with SCI may be responsible in the developing countries. Studies9,10 have identified many risk factors10–22 for morbidity and mortality in SCI, but none of these risk factors has been studied in the developing world.
Nigeria is a country without an organized prehospital transport system for trauma patients.23,24 Only 6% of injured individuals were transported to hospitals by ambulance whereas other 94% were taken in private cars and public vehicles.23 Solagberu et al.24 noted that people injured in traffic accidents were transported to the hospital most commonly by their relatives and that transfer of individuals with SCI was not optimal. This may contribute to the high mortality1–8 following SCI.
A well-organized prehospital transport would reduce morbidity and mortality after traffic-related injuries.25 This has also been documented in the literature.23–27 The aim of the present study is to highlight the challenges of prehospital transport of people with SCI and its contribution to mortality in Nigeria.
Patients, materials, and methods
The details of patients with SCI, seen at the casualty of the University of Abuja Teaching Hospital Gwagwalada and National Orthopaedic Hospital Lagos, Nigeria from 1 January 2009 to 31 December 2009 and admitted for 6 weeks, were prospectively recorded.
The casualty officer collected data on a SCI proforma designed for date of injury, age, sex, prehospital transport and related factors, time between injury and presentation, and time of death or discharge from hospital. Mortality was recorded within the first 6 weeks of admission. Three groups of people were identified in the prehospital transport of patients with SCI: relatives, the Police/Federal Road Safety Commission staff, and bystanders (terminologies defined by Solagberu et al.24). Crouch position is defined as near full flexion at the trunk.
General linear model analysis was performed to test the hypothesis that prehospital transportation is a predictor of mortality in patients with SCI, controlling for the following confounding factors that are not affected by mode of transportation to the hospital: age, gender, mechanism of injury, and cause of injury. Multiple logistic regressions were used to estimate the adjusted odds ratios and their 95% CI of OR as measures of associations, including identification and adjustment for confounding variables. Data were analyzed using Statistical Package for Social Sciences (SPSS) 17.0 (SPSS Inc. Chicago, IL, USA); P value ≤0.05 was set as significant.
Results
There were 168 patients with SCI evacuated to the casualty during this period; 149 males and 19 females, M:F ratio 7.8:1. The age range was 14–68 years with mean age of 36.4 ± 12.7 years. Mortality was 16.7% within the first 6 weeks of admission.
Table 1 shows the mode of transportation. One hundred and fourteen (67.9%) patients presented more than 24 hours after injury, whereas 54 (32.1%) presented within the first 24 hours. The relative distribution of groups involved in the prehospital transport of patients before and after 24 hours after injury is presented in Table 2. Ninety-three (55.4%) patients were transported lying flat on their backs, 60 (35.7%) were in crouch position, and the other 15 (8.9%) patients were seated. Forty-two (25%) patients presented directly to our casualty and 126 (75%) patients had multiple prior hospital visits.
Table 1.
Mode of transport | N (%) |
---|---|
Salon car | 91 (54.2) |
Commercial bus | 41 (24.4) |
Open truck | 23 (13.7) |
Ambulance | 9 (5.4) |
Motorcycle | 4 (2.4) |
Total | 168 (100) |
Table 2.
Group of person | Within 24 hours N (%) | After 24 hours N (%) | Total |
---|---|---|---|
Relative | 9 (5.3) | 89 (52.9) | 98 (58.3) |
Police/FRSC staff | 16 (9.5) | Nil | 16 (9.5) |
Bystander | 29 (17.3) | 25 (14.9) | 54 (32.2) |
Total | 54 (32.1) | 114 (67.9) | 168 (100) |
Predictors of mortality
The following prehospital transport and related factors were significantly associated with mortality (Table 3): univariate analysis revealed age, gender, transfer by bystanders, commercial bus transport, crouched position during transfer, presentation after 24 hours, and multiple hospital presentations were significantly associated with mortality within 6 weeks of admission (P < 0.05). Multivariate analysis after adjusting for age, gender, mechanism of injury, and cause of injury, which are not affected by mode of transportation, revealed that crouched position during transfer (OR = 23.52, 95% CI = 7.26–74.53), presentation after 24 hours (OR = 5.48, 95% CI = 3.20–16.42), and multiple hospital presentations (OR = 7.94, 95% CI = 1.89–33.43) were associated with mortality.
Table 3.
Variables | n/N (%) | RR | 95% CI | P value |
---|---|---|---|---|
Crouched position | 16/60 (26.7) | 23.52 | 7.26–74.53 | 0.001 |
Presentation after 24 hours | 19/114 (16.7) | 5.48 | 3.30–16.42 | 0.001 |
Multiple hospital presentation | 21/126 (16.7) | 7.94 | 1.89–33.43 | 0.001 |
RR – relative risk, CI – confidence interval.
Discussion
Majority of the patients with SCI, who presented in our casualty, were young men. These are economically active people with attendant socio-economic problems in a developing country like Nigeria. This finding, consistent with findings in many other reports,2–11 indicates the need to develop more effective prevention measures, especially for this population group.
In this study, the mortality recorded was 16.7% within the first 6 weeks of SCI. This rate corresponds to the findings of Furlan et al.10 and O'Connor22 in the developed countries and Kawu et al.1 and Udosen et al.8 in the developing countries, who noted similar mortality figures within the first 6 weeks of SCI.
Nigeria lacks an organized prehospital transport system for trauma patients.23,24 Ambulance conveyed 5.4% of patients with SCI in this study, which was consistent with the 6% of trauma patients transported by this method as reported by Adeyemi-Doro et al.23 In this study, majority of the patients were transported in a salon car to the casualty. This contradicts the findings in Ghana26 and Kenya27 where commercial vehicle was the most common mode of transport. The reason may be that relatives, who represent the largest category to convey patients to the hospital, usually do so in their vehicles, which are usually salon cars.
Bystanders are the largest category that conveys the patients with SCI to the hospital within the first 24 hours and this may be due to their being the first contact with the patients. Relatives represent the largest category that conveys patients with SCI to the hospital after 24 hours. This agrees with the findings of Solagberu et al.24 1. The relatives of these patients are contacted much later after the patients have been evacuated to primary healthcare facilities and on arrival they often request transfer of such patients to other facilities of their choice which may explain why patients are present in our institution after 24hrs. Relatives form the largest category that convey patients to health facilities in Nigeria overall because they are mostly responsible for the initial hospital bills and also because of the communal nature of our society, where family plays a fundamental role.
The present study shows that prehospital transport-related variables such as age, crouched position during transfer, presentation after 24 hours, and multiple hospital presentations were associated with mortality within 6 weeks of admission. Age is a known risk factor for adverse prognosis in patients with SCI.10,20–22 However, crouched position during transfer of patients, presentation after 24 hours, and multiple hospital presentations have not been described previously as significant risk factors.
Multiple hospital presentations and presentation after 24 hours can be an indicator of quality of trauma care in a country. In Nigeria, the trauma centers are non-existent and where services are available facilities are obsolete; the staff is inexperienced and overworked and there is a lack of a dedicated trauma team. This leads to multiple transfers among health-care centers that lack adequate specialized care. In addition, organized prehospital transport systems are non-existent in Nigeria. Patients often present late to an inadequately equipped trauma center with attendant poor prognosis.23 This may account for the higher mortality seen in this study.
Conclusion
Organizing a prehospital transport system in Nigeria would help reduce mortality. Injury prevention education for high-risk adolescents and young adults should be instituted using public media. Enforcement of the use of safety measures in vehicles and upgrading of the transport system would reduce the number of traffic injuries. Further studies would highlight other agenda items necessary for change in a country like Nigeria.
Acknowledgments
We appreciate the contributions of Dr Baron Lonner (MD) of New York University Hospital for Joint Diseases and his research team for their help in the revision of this manuscript.
References
- 1.Kawu AA, Adebule GT, Gbadegesin SAA, Alimi MF, Salami AO. Outcome of conservative treatment of spinal cord injuries in Lagos, Nigeria. Nig J Orthop Trauma 2010;9(1):21–3 [Google Scholar]
- 2.Solagberu BA. Spinal cord injuries in Ilorin, Nigeria. West Afr J Med 2002;21(3):230–2 [DOI] [PubMed] [Google Scholar]
- 3.Obalum DC, Giwa SO, Adekoya-Cole TO, Enweluzo GO. Profile of spinal injuries in Lagos, Nigeria. Spinal Cord 2009;47(2):134–7 [DOI] [PubMed] [Google Scholar]
- 4.Olasode BJ, Komolafe IE, Komolafe M, Olasode OA. Traumatic spinal cord injuries in Ile-Ife, Nigeria, and its environs. Trop Doct 2006;36(3):181–2 [DOI] [PubMed] [Google Scholar]
- 5.Umaru H, Ahidjo A. Pattern of spinal cord injury in Maiduguri, North Eastern Nigeria. Niger J Med 2005;14(3):276–8 [PubMed] [Google Scholar]
- 6.Nwadinigwe CU, Iloabuchi TC, Nwabude IA. Traumatic spinal cord injuries (SCI): a study of 104 cases. Niger J Med 2004;13(2):161–5 [PubMed] [Google Scholar]
- 7.Igun GO, Obekpa OP, Ugwu BT, Nwadiaro HC. Spinal injuries in Plateau State, Nigeria. East Afr Med J 1999;76(2):75–9 [PubMed] [Google Scholar]
- 8.Udosen AM, Ikpeme AI, Ngim NE. A prospective study of spinal cord injury in the University of Calabar Teaching Hospital Calabar, Nigeria: a preliminary report. Internet J Orthop Surgery 2007. [cited 2010 Aug 14]. Available from: http//www.isup.com/osha/index.php [Google Scholar]
- 9.Bouamra O, Wrotchford A, Hollis S, Vail A, Woodford M, Lecky F. Outcome prediction in trauma. Injury 2006;37(12):1092–7 [DOI] [PubMed] [Google Scholar]
- 10.Furlan JC, Krassioukov AV, Fehlings MG. The effects of gender on clinical and neurological outcomes after acute cervical spinal cord injury. J Neurotrauma 2005;22(3):368–81 [DOI] [PubMed] [Google Scholar]
- 11.Bakers SP, O' Neill B, Haddon W, Jr, Long WB. The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. J Trauma 1974;14(3):187–96 [PubMed] [Google Scholar]
- 12.Coelho DG, Brasil AV, Ferreira NP. Risk factors of neurological lesions in low cervical spine fractures and dislocations. Arq Neuropsiquiatr 2000;58:1030–4 [DOI] [PubMed] [Google Scholar]
- 13.Gabbe BJ, Cameron PA, Wolfe R. TRISS: does it get better than this? Acad Emerg Med 2004;11(2):181–6 [PubMed] [Google Scholar]
- 14.Gabbe BJ, Cameron PA, Wolfe R, Williamson OD, Cameron PA. Predictors of mortality, length of stay and discharge destination in blunt trauma. ANZ J Surg 2005;75(8):650–6 [DOI] [PubMed] [Google Scholar]
- 15.George RL, McGwin G, Jr, Metzger J, Chaudry IH, Rue LW., III The association between gender and mortality among trauma patients as modified by age. J Trauma 2003;54(3):464–71 [DOI] [PubMed] [Google Scholar]
- 16.Liang HW, Wang YH, Lin YN, Wang JD, Jang Y. Impact of age on the injury pattern and survival of people with cervical cord injuries. Spinal Cord 2001;39(7):375–80 [DOI] [PubMed] [Google Scholar]
- 17.Neumann CR, Brasil AV, Albers F. Risk factors for mortality in traumatic cervical spinal cord injury: Brazillian data. J Trauma 2009;67(1):67–70 [DOI] [PubMed] [Google Scholar]
- 18.Claxton AR, Wong DT, Chug F, Fehlings MG. Predictors of hospital mortality and mechanical ventilation in patients with cervical spinal cord injury. Can J Anaesth 1998;45(2):144–9 [DOI] [PubMed] [Google Scholar]
- 19.Pull ter Gunne AF, Aquarius AE, Roukema JA. Risk factors predicting mortality after blunt traumatic cervical fractures. Injury 2008;39(12):1437–41 [DOI] [PubMed] [Google Scholar]
- 20.Cusick JF, Yoganandan N. Biomechanics of the cervical spine 4: major injuries. Clin Biomech (Bristol Avon) 2002;17(1):1–20 [DOI] [PubMed] [Google Scholar]
- 21.Goldberg W, Mueller C, Panacek E, Tigges S, Hoffman JR, Mover WR. Distribution and patterns of blunt traumatic cervical spine injury. Ann Emerg Med 2001;38(1):17–21 [DOI] [PubMed] [Google Scholar]
- 22.O'Connor PJ. Survival after spinal cord injury in Australia. Arch Phys Med Rehabil 2005;86(1):37–47 [PubMed] [Google Scholar]
- 23.Adeyemi-Doro HO, Sowemimo GOA. Optimal care for trauma victims in Nigeria. Trauma Q 1999;14(6):295–300 [Google Scholar]
- 24.Solagberu BA, Ofoegbu CKP, Abdur-Rahman LO, Adekanye AO, Udoffa US, Taiwo J. Pre-hospital care in Nigeria: a country without emergency medical services. Nig J Clin Pract 2009;12(1):29–33 [PubMed] [Google Scholar]
- 25.Mock CN, Jurkovich GJ, nii-Amon-Kotei D, Arreola-Risa C, Maier RV. Trauma mortality patterns in three nations at different economic levels: implications for global trauma system development. J Trauma 1998;44(5):804–12 [DOI] [PubMed] [Google Scholar]
- 26.Forjouh S, Mock C, Friedman D, Quansah R. Transport of the injured to the hospitals in Ghana: the need to strengthen the practice of trauma care. Pre-hospital Immediate Care 1999;3(1):66–70 [Google Scholar]
- 27.Nantulya VM, Reich MR. The neglected epidemic: road traffic injuries in developing countries. BMJ 2002;324(7346):1139–41 [DOI] [PMC free article] [PubMed] [Google Scholar]