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The Journal of Spinal Cord Medicine logoLink to The Journal of Spinal Cord Medicine
. 2019 Oct 1;42(Suppl 1):10–20. doi: 10.1080/10790268.2019.1607055

Sex-related discrepancies in the epidemiology, injury characteristics and outcomes after acute spine trauma: A retrospective cohort study

Julio C Furlan 1,2,, B Catharine Craven 1,2, Michael G Fehlings 3,4
PMCID: PMC6781464  PMID: 31573442

Abstract

Context/Objective: The potential effects of sex on injury severity and outcomes after acute spine trauma (AST) have been reported in pre-clinical and clinical studies, even though the data are conflicting. This study compared females and males regarding the epidemiology, injury characteristics, and clinical outcomes of AST.

Design: Retrospective cohort study.

Setting: Acute spine care quaternary center.

Participants: All consecutive cases of AST admitted from January/1996 to December/2007 were included.

Interventions: None.

Outcome Measures: The potential effects of sex on the epidemiology, injury characteristics, and clinical outcomes of AST were studied.

Results: There were 504 individuals with AST (161 females, 343 males; mean age of 49.44 ± 0.92 years). Sex was not associated with age or pre-existing co-morbidities as assessed using the Charlson Co-morbidity Index, however, females had a greater number of International Classifications of Diseases (ICD) codes at admission and higher Cumulative Illness Rating Scale (CIRS) than males. Over the 12-year period, the male-to-female ratio has not significantly changed. Although there were significant sex-related discrepancies regarding injury etiology, level and severity of AST, males and females had similar lengths of stay in the acute spine center, in-hospital survival post-AST, and need for mechanical ventilation and tracheostomy.

Conclusion: This study suggests that females with AST present with a greater number of pre-existing co-morbidities, a higher frequency of thoraco-lumbar trauma, less severe neurological impairment and a greater proportion of MVA-related injuries. However, females and males have a similar length of stay in the acute spine center, and comparable in-hospital survival, need for mechanical ventilation, and tracheostomy after AST.

Keywords: Spinal cord injury, Acute spine trauma, Neurotrauma, Age, Sex

Introduction

The incidence and prevalence of acute spine trauma (AST) remain relatively modest, despite its significant personal impact and its substantial economic impact upon society.1,2 In the United States, the estimated lifetime costs per individual with traumatic spinal cord injury (SCI) onset at the age of 25 years, vary from $1.65 million (incomplete paraplegia) to $4.7 million (complete high tetraplegia) in 2017 USD.3 Moreover, the epidemiology of traumatic SCI has been changing over the past three decades.4,5 The aging of the population has resulted in a boom of fall-related SCIs in the geriatric population around world.2,4–8 Nonetheless, traumatic SCI continues to predominantly affect males with male-to-female ratios varying from 1.6:1 to 8.1:1 across the world.2

The effect of sex on outcomes after traumatic SCI remains unclear. Most prior pre-clinical experimental and clinical studies have shown conflicting findings as to whether females have more favorable outcomes in terms of locomotor recovery than males.9–11 In a recent preclinical experimental study, Datto et al. concluded that female sex favors better tissue preservation and functional recovery over males after studying a larger sample size of animals, adjusting the data analysis for weight and age, and using a wide variety of locomotion tests.9 However, clinical studies have not shown a convincing female sex advantage over males. A retrospective study of individuals in the acute stage after SCI documented that females may be more susceptible to post-traumatic depression and deep venous thrombosis, but there were no other significant sex-related disparities with regards to clinical outcomes, including other clinical secondary complications, length of stay, mortality, and discharge disposition from an acute spine center.12 Using data from 14,433 individuals with traumatic SCI who were registered in a large database in the United States, Sipski et al. reported that females and males had slight differences in neurologic and functional recovery following SCI, but both sexes had some distinct advantages.10 For instance, females were more likely to improve neurologically based on changes in the initial AIS; however, for a given level and severity of SCI, males tend to have better functional performance than females at time of discharge from rehabilitation.10 Cardenas et al. studied 7,379 people with traumatic SCI who mostly developed persistent pain (81% at 1 year post-injury and 82.7% at 25 years), but there were no significant sex-related differences noted.11 Although there is no definite explanation for the sex-related discrepancies in prior studies, the current understanding is that multiple factors related to female sex beyond estrogen are involved.9

Given this background, we examined a single-institution large database in order to test the hypothesis that individual’s sex can influence injury characteristics (i.e. causes, level and severity of AST), and clinical outcomes (i.e. length of stay in the acute spine trauma center, in-hospital survival, need for mechanical ventilation and need for tracheostomy) after AST when data analyses are adjusted for major potential confounders (i.e. age at the time of AST, pre-existing medical co-morbidities, and injury characteristics). Because the performance of the measures of pre-existing co-morbidities varies according to the outcome of interest, we used multiple evaluations of the pre-existing co-morbidities in order to clarify which one(s) are more sensitive to the AST population.13–16 While the data used in this study were collected between 1996 and 2007, this represents a large case series from a single institution where the treatment protocol has not significantly changed when compared to the current practice. Therefore, the results are still relevant and valid for comparisons with current management of AST after accounting for potential epidemiological differences in other jurisdictions.

Methods

This retrospective cohort study included all consecutive adults with AST who were admitted to an acute spine trauma center (Level I center that has 12 beds for AST) in Canada from January 1996 to December 2007 inclusive. Relevant clinical data were retrieved including demographics (age and sex), injury characteristics (cause, level and severity of injury), pre-existing medical co-morbidities, and clinical outcomes (survival and length of stay in the acute spine center). Data used in this research project were collected according to a protocol approved by the Research Ethics Board from University Health Network.

For the purpose of this study, AST was defined as a trauma at any level of the spine (C1 to S5) that resulted in hospital admission regardless of the severity of the spine trauma. Severity of AST was classified according to the American Spinal Injury Association [ASIA] Impairment Scale (AIS) as follows: (i) motor and sensory complete SCI (AIS A); (ii) motor complete but sensory incomplete SCI (AIS B); (iii) motor incomplete SCI where the majority of the key muscles below the neurological level have muscle grade < 3 (AIS C); and (iv) motor incomplete SCI where the majority of the key muscles below the neurological level have muscle grade ≥ 3 (AIS D).17 For the purpose of data analyses using multiple logistic regression, the individuals were further grouped into motor complete SCI (AIS A or B), motor incomplete SCI (AIS C or D), and normal neurological examination or minor neurological deficits after spine trauma (AIS E) according to severity of AST. Additionally, the study population was grouped into individuals with tetraplegia (cervical AST) and individuals with paraplegia (thoracic, lumbar or sacral AST).

Pre-existing medical co-morbidities at admission were quantified according to their severity as assessed using the Charlson Co-morbidity Index and Cumulative Illness Rating Scale (CIRS), as well as the number of codes from the International Classifications of Diseases (ICD), 9th revision.18–20

The standard of care in this acute spine trauma center at the time of data collection included: (i) the administration of methylprednisolone as a neuroprotective agent according to recommendations of the Second National Acute Spinal Cord Injury Study;21 (ii) hemodynamic and cardiac monitoring with intravenous administration of crystalloids (i.e. 0.9% NaCl solution) and vasopressive agents (i.e. dopamine) as required to maintain a mean blood pressure at 85–90 mmHg as a neuroprotective measure;22 and, (3) spinal cord decompression and spine stabilization with realignment at the earliest feasible time according to the clinical conditions.23

Data analysis

The appropriate parametric or nonparametric descriptive statistics were used to characterize the demographics and injury characteristics of the cohort. Data were analyzed using the Mann Whitney U test for continuous variables, and Fisher exact test for categorical variables. Survival data were analyzed using a Kaplan-Meier curve and log-rank test. Multiple logistic regression analysis was used to examine the potential associated or confounding factors associated with binary clinical outcomes. All data analyses were performed using SAS version 9.4 (SAS Institute Inc., NC, USA). Significance level of 5% was assumed for univariate analysis with a minimum power level of 80%. Bonferroni correction was used for multiple comparisons.

Results

There were 504 individuals with AST (161 females and 343 males; age range from 15 to 102 years with a mean age of 49.44 ± 0.92 years) who were admitted to the acute spine trauma center. The majority of the individuals (55.02%) had minor or no spinal cord impairment (AIS E), followed by incomplete, milder impairment (AIS D) SCI (30.12%) complete (AIS A) SCI (7.63%), incomplete moderate impairment (AIS C) SCI (4.82%), and motor complete (AIS B) SCI (2.41%). Most of the individuals sustained a cervical spine trauma (58.98%) followed by lumbar spine trauma (28.60%), thoracic spine trauma (11.75%) and sacral spine trauma (0.67%). Falls were the most common cause of AST (54.17%) followed by motor vehicle accidents (25.60%), sports-related accidents (8.73%), diving accidents (4.17%), bicycle accidents (2.98%), assaults (1.79%), work-related accidents (0.98%), self-inflicted injuries (0.60%), and unknown (0.98%).

Sex-related differences in the epidemiology of acute spine trauma

The male-to-female ratio has not significantly changed over the 12-year period (Fig. 1). There were no significant differences between males and females with regards to their age at the time of injury and major pre-existing medical co-morbidities as assessed using the Charlson Co-morbidity Index (Table 1). However, females had a greater number of ICD codes and more often had major pre-existing medical co-morbidities as assessed using CIRS than males (Table 1). Females most often sustained a thoracic or lumbar AST, whereas a higher frequency of cervical AST was observed in males (Table 1). With respect to the causes of AST, motor vehicle accidents were more often seen among females than males, while sports-related accidents and bicycle accidents were more common causes of AST among males than females (Table 1). Furthermore, there was a trend towards sex-related discrepancies in terms of the severity of AST. Overall, females appeared to have had less severe AST than males (Table 1).

Figure 1.

Figure 1

Comparison of male-to-female ratios over the 12-year period among the triennia (P = 0.1423).

Table 1. Comparison between females and males with regards to baseline data.

Feature Females Males P value
Mean age ± SEM 51.81 ± 1.74 years 48.32 ± 1.08 years 0.1299
Age range 16–91 years 15–102 years  
Level of spine trauma      
 Cervical 73 (44.99%) 193 (63.91%)  
 Thoracic 23 (15.44%) 30 (9.93%)  
 Lumbar 52 (34.90%) 77 (25.50%)  
 Sacral 1 (0.67%) 2 (0.66%) 0.0155
Severity of spine trauma      
 AIS A 10 (6.37%) 28 (8.21%)  
 AIS B 1 (0.64%) 11 (3.23%)  
 AIS C 3 (1.91%) 21 (6.16%)  
 AIS D 51 (32.48%) 99 (29.03%)  
 AIS E 92 (58.60%) 182 (53.37%) 0.0735
Cause of spine trauma      
 Fall 86 (53.42%) 187 (55.33%)  
 Motor vehicle accident 55 (34.16%) 74 (21.89%)  
 Sports-related accident 10 (6.21%) 34 (10.06%)  
 Diving accident 5 (3.11%) 16 (4.73%)  
 Bicycle accident 1 (0.62%) 14 (4.14%)  
 Other causes 4 (2.48%) 13 (3.85%) 0.0154
Charlson Co-morbidity Index      
 0 110 (68.32%) 251 (73.39%)  
 1 32 (19.88%) 56 (16.37%)  
 2 12 (7.45%) 18 (5.26%)  
 3 or higher 7 (5.35%) 17 (4.97%) 0.5392
Number of ICD codes      
 Mean ± SEM 2.12 ± 0.18 1.50 ± 0.12 0.0003
 Range 0–11 0–15  
Cumulative Illness Rating Scale      
 Mean ± SEM 4.21 ± 0.38 3.12 ± 0.28 0.0005
 Range 0–22 0–42  

SEM, standard error of mean; AIS, ASIA Impairment Scale; ICD, International Classification of Diseases.

Outcomes after acute spine trauma: females versus males

Females did not significantly differ from males with regards to the length of stay in the acute spine trauma center (Fig. 2.A). Similarly, there were no significant sex-related discrepancies in the in-hospital survival after AST (Fig. 2.B). The need for mechanical ventilation was associated with a greater number of major pre-existing medical co-morbidities (as assessed using the number of ICD codes) and tetraplegia, but not related to individuals’ sex and age at the time of trauma onset (Table 2). A tracheostomy was more often required in those individuals with a motor complete (AIS A or B) SCI, but was not related to the individuals’ sex or age at the time of trauma onset (Table 3).

Figure 2.

Figure 2

Comparisons between females and males regarding the outcomes after acute spine trauma: (A) Length of stay in the acute spine trauma center; (B) In-hospital survival using Kaplan–Meier curves.

Table 2. Results of the multiple logistic regression analysis on the need for mechanical ventilation after acute spine trauma.

Model 1: Need for mechanical ventilation
Model fit statistics: −2 log L = 162.35
Likelihood ratio (chi-square): 72.85 P < 0.001
c statistics: 0.882
Co-variants
Odds ratio
95% confidence interval
P value
Age at the time of trauma 0.993 0.970, 1.016 0.532
Sex
 Females vs. males 2.033 0.688, 6.006 0.199
Number of ICD codes 0.835 0.707, 0.985 0.032
Level of spine trauma
 Paraplegia vs. tetraplegia 4.576 1.265, 16.554 0.020
Severity of spine trauma
 Incomplete vs. minor or normal 0.358 0.107, 1.205 0.122
 Motor complete vs. minor or normal
0.031
0.009, 0.104
< 0.001 (*)
Model 2: Need for mechanical ventilation
Model fit statistics: −2 log L = 163.64
Likelihood ratio (chi-square): 71.55 P < 0.001
c statistics: 0.879
Co-variants
Odds ratio
95% confidence interval
P value
Age at the time of trauma 0.991 0.968, 1.014 0.449
Sex
 Females vs. males 2.031 0.685, 6.020 0.201
Cumulative Illness Rating Scale (CIRS) 0.939 0.877, 1.006 0.073
Level of spine trauma
 Paraplegia vs. tetraplegia 7.731 1.310, 17.089 0.018
Severity of spine trauma      
 Incomplete vs. minor or normal 0.327 0.096, 1.111 0.178
 Motor complete vs. minor or normal
0.031
0.009, 0.105
< 0.001 (*)
Model 3: Need for mechanical ventilation
Model fit statistics: −2 log L = 165.97
Likelihood ratio (chi-square): 69.22 P < 0.001
c statistics: 0.871
 
 
 
Co-variants
Odds ratio
95% confidence interval
P value
Age at the time of trauma 0.978 0.958, 1.001 0.060
Sex
 Females vs. males 2.000 0.682, 5.857 0.207
Charlson Co-morbidity Index 1.135 0.811, 1.589 0.459
Level of spine trauma
 Paraplegia vs. tetraplegia 5.183 1.442, 18.639 0.012
Severity of spine trauma
 Incomplete vs. minor or normal 0.350 0.106, 1.157 0.135
 Motor complete vs. minor or normal 0.031 0.009, 0.104 < 0.001 (*)

ICD, International Classification of Diseases; Bonferroni corrections: * p < 0.025.

Table 3. Results of the multiple logistic regression analysis on the need for tracheostomy after acute spine trauma.

Model 1: Need for tracheostomy
Model fit statistics: −2 log L = 90.96
Likelihood ratio (chi-square): 33.45 P <0.001
c statistics: 0.883
Co-variants
Odds ratio
95% confidence interval
P value
Age at the time of trauma 0.993 0.961, 1.026 0.667
Sex
 Females vs. males 1.838 0.370, 9.134 0.457
Number of ICD codes 0.895 0.689, 1.163 0.407
Level of spine trauma
 Paraplegia vs. tetraplegia 4.989 0.603, 41.277 0.136
Severity of spine trauma
 Incomplete vs. minor or normal 0.231 0.025, 2.122 0.625
 Motor complete vs. minor or normal
0.026
0.003, 0.215
< 0.001 (*)
Model 2: Need for tracheostomy
Model fit statistics: −2 log L = 91.526
Likelihood ratio (chi-square): 32.88 P < 0.001
c statistics: 0.879
 
 
 
Co-variants
Odds ratio
95% confidence interval
P value
Age at the time of trauma 0.989 0.957, 1.021 0.496
Sex
 Females vs. males 1.875 0.378, 9.299 0.442
Cumulative Illness Rating Scale (CIRS) 0.984 0.870, 1.112 0.794
Level of spine trauma
 Paraplegia vs. tetraplegia 5.226 0.638, 42.823 0.123
Severity of spine trauma
 Incomplete vs. minor or normal 0.225 0.025, 2.057 0.661
 Motor complete vs. minor or normal
0.026
0.003, 0.218
< 0.001 (*)
Model 3: Need for tracheostomy
Model fit statistics: −2 log L = 91.585
Likelihood ratio (chi-square): 32.82 P < 0.001
c statistics: 0.880
Co-variants
Odds ratio
95% confidence interval
P value
Age at the time of trauma 0.986 0.955, 1.019 0.397
Sex
 Females vs. males 1.866 0.375, 9.294 0.446
Charlson Co-morbidity Index 1.018 0.667, 1.556 0.933
Level of spine trauma
 Paraplegia vs. tetraplegia 5.338 0.652, 43.713 0.119
Severity of spine trauma
 Incomplete vs. minor or normal 0.225 0.025, 2.061 0.656
 Motor complete vs. minor or normal 0.026 0.003, 0.220 < 0.001 (*)

ICD, International Classification of Diseases; Bonferroni corrections: * p < 0.025.

Discussion

The results of this retrospective cohort study in 504 individuals with AST suggest that sex was not associated with age at the time of trauma or major pre-existing medical co-morbidities as assessed using Charlson Co-morbidity Index. However, females presented with a greater number of ICD codes and more often had major pre-existing medical co-morbidities as assessed using CIRS than males with AST. While females most often had a thoracic or lumbar AST, males showed a higher frequency of cervical AST than their female counterparts. Motor vehicle accidents as a cause of AST were more often seen among females than males, while sports-related accidents and bicycle accidents were less common causes of AST among females. Also, females appeared to have had less severe AST than males. Over the 12-year period, the ratio of males to females has not significantly changed. Females did not significantly differ from males with regards to the length of stay in the acute spine trauma center and in-hospital survival after AST. The need for mechanical ventilation was significantly associated with greater number of major pre-existing medical co-morbidities (as assessed using the number of ICD codes) and tetraplegia, but not related to individuals’ sex and age. A tracheostomy was more often required in those individuals with a motor complete (AIS A or B) SCI, but was not related to the individuals’ sex and age.

Sex and epidemiology of acute spine trauma

The results of our study revealed no significant changes in the male-to-female ratio over the 12-year period. Similarly, the vast majority of the prior studies have shown no significant changes in the male-to-female ratio over the past two decades, even though the results of a few population-based studies suggested that the proportion of females has increased relative to the proportion of males in some jurisdictions.2,4–8

In our study, sex distribution was found to be unrelated to the age at the time of trauma. Contrary to the belief that elderly patients inevitably have poorer recovery than younger adults after traumatic SCI, the most recent clinical studies suggest that age at the onset of SCI is not certainly associated with less favorable outcomes.24,25 It is commonly reported that, survival in the elderly with SCI is lesser than their younger adult counterparts, even though a prior study indicated that pre-existing medical co-morbidities can have a confounding effect on the reduced survival in the elderly following SCI.24–27 Among survivors, age at onset of SCI did not significantly influence motor and sensory recovery as well as pain scores within the first year following acute traumatic SCI after adjusting data analyses for major potential confounders.24,25 However, the potential of elderly individuals to neurologically improve within the first year post-SCI did not translate into functional recovery similar to younger individuals.24,25,28

In our study, sex was not associated with major pre-existing medical co-morbidities as assessed using Charlson Co-morbidity Index. However, females had greater number of ICD codes and more often had major pre-existing medical co-morbidities as assessed using CIRS than males. Alike our study, a prior investigation indicated that males with SCI did not differ from females with SCI in terms of the frequency of pre-existing medical comorbidities.12 The discrepancies of the results on different measures of pre-existing co-morbidities in our study remain to be elucidated. However, several prior studies suggest that the performance of the measures of pre-existing co-morbidities varies according to the outcome of interest.13–16 This is important because a growing body of evidence has indicated that pre-existing medical co-morbidities can affect the clinical outcomes of individuals with AST.29–31

In our study, females most often sustained thoracic or lumbar AST, whereas males had a greater frequency of cervical AST than females. Also, there was a trend for females to have less severe AST than males. Furthermore, females were more likely to be injured by motor vehicle accidents than males, while sports-related accidents and bicycle accidents were less common causes of AST among females. Those sex-related differences in the distribution of mechanisms of injury at least partially explain the discrepancies seen in the level and severity of AST between males and females. For example, incomplete tetraplegia was the top neurological outcome after ASTs related to sports (47.7%), motor vehicle accidents (32.8%), and falls (41.1%) according to most recent data from the National Spinal Cord Injury Statistical Center.32 Of note, 84.9% of all sports-related injuries resulted in tetraplegia.32 In addition, the survival after motor accidents in the United States is greater among female drivers in comparison with their counterparts, which could explain the higher frequency of AST related to motor vehicle accidents in the female group. According to recent data from the Fatality Analysis Reporting System from the U.S. Department of Transportation, male drivers were responsible for 71% of all motor vehicle crash deaths in 2017, and males had 1.8–2.6 times per capita passenger vehicle occupant death rates from 1975 to 2017 than females.33

Similar to our results, most recent data from the National Spinal Cord Injury Statistical Center documented that motor vehicle accident was a more common cause of SCI among females (47.1%) than males (28.9%), as well as sports-related accidents and bicycle accidents were less common causes of AST in females (5.6% and 1.0%, respectively) when compared with males (11.2% and 1.8%, respectively).32 In contrast, Scivoletto et al. found no sex-related differences in the distribution of levels and causes of traumatic SCI.34 The authors also reported no significant sex-related discrepancies in the distribution of severity of SCI regarding AIS A, B and D, but the frequency of AIS-C injuries was significantly greater in males than females.34 In a retrospective case series in Australia, New et al. reported no significant correlation of sex with injury severity and neurological level of non-traumatic SCI.35 Analyzing US data from 1,074 individuals with traumatic SCI, Greenwald et al. found no significant sex-related differences in the Functional Independence Measure (FIM) motor scores and ASIA motor scores on admission to the acute spine trauma center and discharge from rehabilitation center.36

Sex and outcomes after acute spine trauma

There was no sex-related discrepancy in the length of stay in the acute spine trauma center and in-hospital survival following AST in our study. Similarly, prior studies on unmatched groups of individuals with SCI showed no significant differences between males and females with regards to the mean length of stay.12,37–39 Greenwald et al. documented that females did not differ from males with regards to the length of stay in the acute care facility.36 By analyzing many predictive variables for a longer stay in the acute care unit, Mylotte et al. identified SCI and development of a nosocomial infection as key predictive factors, but sex was not associated with the length of stay in the acute care unit.40 Scivoletto et al. found no significant sex-related differences in terms of the length of stay in a Spinal Cord Unit for rehabilitation of individuals with traumatic or non-traumatic SCI.34 In contrast, Herren et al. reported that males had a longer hospital of stay after lumbar spine surgery for spinal disc herniation, lumbar spinal stenosis and spondylolisthesis than females.41 Although there is no obvious explanation for the differences in the results between the study by Herren et al. and former investigations, one may speculate that methodological differences such as variations in the definition of length of stay may account for those discrepancies.42

The results of our study also suggest that females had similar survival to males after AST. Similarly, New and Epi reported no sex-related differences in survival after initial rehabilitation of 70 adult inpatients with nontraumatic SCI in an Australian retrospective case series.35 In a retrospective cohort study at Spinal Cord Injury Centre of Western Denmark including 665 cases, Noe et al. found no significant sex-related differences in mortality at 2, 5 and 10 years after traumatic SCI.43 In a Swiss observational cohort study including 2,421 individuals with traumatic SCI, Chamberlain et al. reported that males had a greater mortality rate than females using Kaplan-Meier curve analysis with univariate analysis hazard ratio of 1.38 (95% CI: 1.10, 1.74).44 However, sex was not significantly associated with survival after traumatic SCI when using a multivariable analysis with a hazard ratio of 1.0 (95% CI: 0.79, 1.10).44 In contrast, Hatch et al. documented greater mortality among males (hazard ratio: 1.3 [95% CI: 1.0, 1.6]) in an analysis with multiple-variable Cox proportional hazards model in an American retrospective cohort study that included 535 individuals with nontraumatic SCI and 221 individuals with traumatic SCI.45 Of note, survival was higher in the group of individuals with traumatic SCI than the group of individuals with nontraumatic SCI, and the latter group had greater number of younger males than the former group.45 In a recent retrospective cohort study including data of 8,069 cases of traumatic SCI from the Japan Trauma Data Bank, Shibahashi et al. documented a significantly greater mortality among males (odds ratio: 2.06 [95% CI: 1.44–2.93]) than females using a multivariate logistic regression analysis.46 Therefore, the results of our study are consistent with many of the prior publications but other investigators found significant sex-related differences in survival after AST. The reasons for those discrepancies may include differences among the studies (e.g. methodological variances), among jurisdictions (e.g. differences in healthcare systems, healthcare access, and population profile), and others.

Furthermore, our results suggest that individual’s sex and age do not influence the need for mechanical ventilation and tracheostomy after AST. In a Spanish retrospective cohort study including 146 individuals, Montoto-Marques et al. documented that males more often need mechanical ventilation after traumatic cervical SCI, but the only factor that significantly determined the need for mechanical ventilation was the ASIA motor score at admission.47

In a meta-analysis of previous studies on the factors that influence the need for tracheostomy after traumatic cervical SCI, Wang et al. reported that males are at a greater risk for prolonged intubation requiring tracheostomy (odds ratio: 1.29 [95%CI: 1.12, 1.49]).48 However, major potential confounders such as pre-existing medical co-morbidities were apparently excluded from their data analysis.

Overall, the results of our study indicate that sex does no significant influence on length of stay in the acute spine trauma center and in-hospital survival after AST. While those results are consistent with several of the aforementioned prior studies, there are conflicting results in the literature suggesting that males may have a longer stay in the hospital, and a higher mortality after SCI. Furthermore, individuals’ sex does not influence their need for mechanical ventilation and tracheostomy after AST.

Study limitations

This original retrospective cohort study compared females and males with respect to the epidemiology of AST, injury characteristics, and clinical outcomes. However, there are a few limitations that should be considered prior to interpreting and generalizing the results. First, selection bias may occur in any retrospective cohort study. Second, the Spinal Cord Database includes only data with regards to admissions at an acute spine trauma center from January/1996 to December/2007. Given that treatment protocol has not substantially changed in that institution since 1996, this large case series can be considered relevant and valid for comparisons with current management of AST after accounting for potential epidemiological differences. Although the management protocol did not change since 2007, we could not verify whether there has been any significant change over the past 12 years in terms of the sex distribution of individuals with AST. According to the results of a recent study on the epidemiology of traumatic SCI, Jain et al. reported an increase of the mean age of individuals with acute traumatic SCI but the sex distribution did not significantly changed from 1993 to 2012 in the United States.4 Third, this study is based on data from a single institution where four spine surgeons utilize the same treatment protocol and principles that may differ from other jurisdictions. Fourth, data on other potential confounding factors such as secondary complications of AST were not available for further adjusted analyses. Finally, there are likely some important health system confounders we were unable to adjust for using the current model.

Conclusions

This retrospective cohort study using a large single-institution database examined the potential influence of sex on the epidemiology of AST, injury characteristics, and clinical outcomes. Our results suggest that sex is not associated with age at the time of AST and pre-existing medical co-morbidities as assessed using Charlson Co-morbidity Index, but females had greater number of ICD codes and higher CIRS than males. Over the 12-year period, the male-to-female ratio has not significantly changed. Also, there were significant sex-related discrepancies with regards to cause, level and severity of AST. However, there were no significant sex-related differences in terms of length of stay in the acute spine trauma center and in-hospital survival after AST. The need for mechanical ventilation was significantly associated with greater number of major pre-existing medical co-morbidities (as assessed using the number of ICD codes) and tetraplegia, but not related to individuals’ sex and age. A tracheostomy was more often required in those individuals with a motor complete (AIS A or B) SCI, but was not related to the individuals’ sex and age. Overall, there were some significant differences between females and males with regards to the injury characteristics that did not adversely affect their survival, length of stay in the acute spine trauma center, need for mechanical ventilation and need for tracheostomy after AST. Those results reinforce the current guidelines for acute spine trauma care where individuals’ sex is not accounted for as a key determinant of patients’ outcomes including in-hospital survival, length of stay in the acute spine trauma center, need for mechanical ventilation and need for tracheostomy after AST for patients with AST. While the severity of neurological impairment is less in females at outset, the greater number of medical co-morbidities (as assessed using CIRS) can challenge the management. It is noteworthy to mention that our data from an acute spine trauma center may not represent the reality of the rehabilitation centers where other outcomes may be affected by the individuals’ sex. For instance, sex-related differences in the management of neurogenic bladder after SCI were reported to influence patients’ satisfaction and functional outcomes.49 Further investigations are necessary to determine which measures of pre-existing medical co-morbidities have the best performance when evaluating outcomes after AST.

Disclaimer statement

Contributors None.

Conflicts of interest The authors report no conflict of interest.

Funding Statement

Dr. Furlan receives salary support from the Wings for Life Spinal Cord Research Foundation. Dr. Craven acknowledges support from the Toronto Rehab Foundation as the Toronto Rehabilitation Institute Chair in Spinal Cord Injury Rehabilitation. Dr. Fehlings acknowledges support from the Halbert Chair in Neural Repair and Regeneration.

*

This paper is directly related to the theme of the 8th National Spinal Cord Injury Conference – Sex and Gender, and Health of Women.

ORCID

Julio C. Furlan http://orcid.org/0000-0002-2038-0018

B. Catharine Craven http://orcid.org/0000-0001-8234-6803

Michael G. Fehlings http://orcid.org/0000-0002-5722-6364

References

  • 1.Furlan JC, Sakakibara BM, Miller WC, Krassioukov AV.. Global incidence and prevalence of traumatic spinal cord injury. Can J Neurol Sci. 2013;40:456–64. doi: 10.1017/S0317167100014530 [DOI] [PubMed] [Google Scholar]
  • 2.Furlan JC, Tator CH.. Global epidemiology of traumatic spinal cord injury. In: Morganti-Kossman C, Raghupathi R, Maas A, (ed). Traumatic Brain and Spinal Cord Injury: Challenges and Developments. First edition Cambridge: Cambridge University Press; 2012. p. 216–23. [Google Scholar]
  • 3.NSCIC Spinal Cord Injury: Facts and Figures at Glace. Birmingham (AL: ): National Spinal Cord Injury Statistical Center; 2016. [Google Scholar]
  • 4.Jain NB, Ayers GD, Peterson EN, et al. . Traumatic spinal cord injury in the United States, 1993-2012. JAMA. 2015;313:2236–43. doi: 10.1001/jama.2015.6250 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Chen Y, He Y, DeVivo MJ.. Changing demographics and injury profile of new traumatic spinal cord injuries in the United States, 1972–2014. Arch Phys Med Rehabil. 2016;97:1610–9. doi: 10.1016/j.apmr.2016.03.017 [DOI] [PubMed] [Google Scholar]
  • 6.McCammon JR, Ethans K.. Spinal cord injury in Manitoba: a provincial epidemiological study. J Spinal Cord Med. 2011;34:6–10. doi: 10.1179/107902610X12923394765733 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.McCaughey EJ, Purcell M, McLean AN, et al. . Changing demographics of spinal cord injury over a 20-year period: a longitudinal population-based study in Scotland. Spinal Cord. 2016;54:270–6. doi: 10.1038/sc.2015.167 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Van Den Berg M, Castellote JM, Mahillo-Fernandez I, de Pedro-Cuesta J.. Incidence of traumatic spinal cord injury in Aragon, Spain (1972–2008). J Neurotrauma. 2011;28:469–77. doi: 10.1089/neu.2010.1608 [DOI] [PubMed] [Google Scholar]
  • 9.Datto JP, Yang J, Dietrich WD, Pearse DD.. Does being female provide a neuroprotective advantage following spinal cord injury? Neural Regen Res. 2015;10:1533–6. doi: 10.4103/1673-5374.165213 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sipski ML, Jackson AB, Gomez-Marin O, Estores I, Stein A.. Effects of gender on neurologic and functional recovery after spinal cord injury. Arch Phys Med Rehabil. 2004;85:1826–36. doi: 10.1016/j.apmr.2004.04.031 [DOI] [PubMed] [Google Scholar]
  • 11.Cardenas DD, Bryce TN, Shem K, Richards JS, Elhefni H.. Gender and minority differences in the pain experience of people with spinal cord injury. Arch Phys Med Rehabil. 2004;85:1774–81. doi: 10.1016/j.apmr.2004.04.027 [DOI] [PubMed] [Google Scholar]
  • 12.Furlan JC, Krassioukov AV, Fehlings MG.. The effects of gender on clinical and neurological outcomes after acute cervical spinal cord injury. J Neurotrauma. 2005;22:368–81. doi: 10.1089/neu.2005.22.368 [DOI] [PubMed] [Google Scholar]
  • 13.Quail JM, Lix LM, Osman BA, Teare GF.. Comparing comorbidity measures for predicting mortality and hospitalization in three population-based cohorts. BMC Health Serv Res. 2011;11(146):1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.New PW, Earnest A, Scroggie GD.. A comparison of two comorbidity indices for predicting inpatient rehabilitation outcomes. Eur J Phys Rehabil Med. 2017;53:493–500. [DOI] [PubMed] [Google Scholar]
  • 15.Huntley AL, Johnson R, Purdy S, Valderas JM, Salisbury C.. Measures of multimorbidity and morbidity burden for use in primary care and community settings: a systematic review and guide. Ann Fam Med. 2012;10:134–41. doi: 10.1370/afm.1363 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Farley JF, Harley CR, Devine JW.. A comparison of comorbidity measurements to predict healthcare expenditures. Am J Manag Care. 2006;12:110–9. [PubMed] [Google Scholar]
  • 17.Furlan JC, Fehlings MG, Tator CH, Davis AM.. Motor and sensory assessment of patients in clinical trials for pharmacological therapy of acute spinal cord injury: psychometric properties of the ASIA Standards. J Neurotrauma. 2008;25:1273–301. doi: 10.1089/neu.2008.0617 [DOI] [PubMed] [Google Scholar]
  • 18.Deyo RA, Cherkin DC, Ciol MA.. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol. 1992;45:613–9. doi: 10.1016/0895-4356(92)90133-8 [DOI] [PubMed] [Google Scholar]
  • 19.Charlson ME, Pompei P, Ales KL, MacKenzie CR.. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–83. doi: 10.1016/0021-9681(87)90171-8 [DOI] [PubMed] [Google Scholar]
  • 20.Linn BS, Linn MW, Gurel L.. Cumulative illness rating scale. J Am Geriatr Soc. 1968;16:622–6. doi: 10.1111/j.1532-5415.1968.tb02103.x [DOI] [PubMed] [Google Scholar]
  • 21.Bracken MB, Shepard MJ, Collins WF, et al. . A randomized, controlled trial of methylprednisolone or naloxone in the treatment of acute spinal-cord injury. Results of the second National acute Spinal Cord injury study. N Engl J Med. 1990;322:1405–11. doi: 10.1056/NEJM199005173222001 [DOI] [PubMed] [Google Scholar]
  • 22.Hadley MN, Walters BC, Grabb PA, et al. . Blood pressure management after acute spinal cord injury. Neurosurgery. 2002;50:S58–62. doi: 10.1097/00006123-200203001-00012 [DOI] [PubMed] [Google Scholar]
  • 23.Furlan JC, Noonan V, Cadotte DW, Fehlings MG.. Timing of decompressive surgery of spinal cord after traumatic spinal cord injury: an evidence-based examination of pre-clinical and clinical studies. J Neurotrauma. 2011;28:1371–99. doi: 10.1089/neu.2009.1147 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Furlan JC, Fehlings MG.. The impact of age on mortality, impairment, and disability among adults with acute traumatic spinal cord injury. J Neurotrauma. 2009;26:1707–17. doi: 10.1089/neu.2009.0888 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Furlan JC, Bracken MB, Fehlings MG.. Is age a key determinant of mortality and neurological outcome after acute traumatic spinal cord injury? Neurobiol Aging. 2010;31:434–46. doi: 10.1016/j.neurobiolaging.2008.05.003 [DOI] [PubMed] [Google Scholar]
  • 26.Kattail D, Furlan JC, Fehlings MG.. Epidemiology and clinical outcomes of acute spine trauma and spinal cord injury: experience from a specialized spine trauma center in Canada in comparison with a large national registry. J Trauma. 2009;67:936–43. doi: 10.1097/TA.0b013e3181a8b431 [DOI] [PubMed] [Google Scholar]
  • 27.Furlan JC, Kattail D, Fehlings MG.. The impact of co-morbidities on age-related differences in mortality after acute traumatic spinal cord injury. J Neurotrauma. 2009;26:1361–7. doi: 10.1089/neu.2008.0764 [DOI] [PubMed] [Google Scholar]
  • 28.Furlan JC, Hitzig SL, Craven BC.. The influence of age on functional recovery of adults with spinal cord injury or disease after inpatient rehabilitative care: a pilot study. Aging Clin Exp Res. 2013;25:463–71. doi: 10.1007/s40520-013-0066-1 [DOI] [PubMed] [Google Scholar]
  • 29.Yekutiel M, Brooks ME, Ohry A, Yarom J, Carel R.. The prevalence of hypertension, ischaemic heart disease and diabetes in traumatic spinal cord injured patients and amputees. Paraplegia. 1989;27:58–62. [DOI] [PubMed] [Google Scholar]
  • 30.Imai K, Kadowaki T, Aizawa Y, Fukutomi K.. Problems in the health management of persons with spinal cord injury. J Clin Epidemiol. 1996;49:505–10. doi: 10.1016/0895-4356(95)00576-5 [DOI] [PubMed] [Google Scholar]
  • 31.Krassioukov AV, Furlan JC, Fehlings MG.. Medical co-morbidities, secondary complications, and mortality in elderly with acute spinal cord injury. J Neurotrauma. 2003;20:391–9. doi: 10.1089/089771503765172345 [DOI] [PubMed] [Google Scholar]
  • 32.NSCISC Annual Statistical report for the Spinal Cord injury Model systems Public version. Birmingham (AL: ): National Spinal Cord Injury Statistical Center; 2017. [Google Scholar]
  • 33.Unpublished analysis of 2017 data from the US Department of Transportation’s Fatality Analysis Reporting System and the National Household Travel Survey. Available from https://www.iihs.org/iihs/topics/t/general-statistics/fatalityfacts/gender.
  • 34.Scivoletto G, Morganti B, Molinari M.. Sex-related differences of rehabilitation outcomes of spinal cord lesion patients. Clin Rehabil. 2004;18:709–13. doi: 10.1191/0269215504cr749oa [DOI] [PubMed] [Google Scholar]
  • 35.New PW, Epi MC.. Influence of age and gender on rehabilitation outcomes in nontraumatic spinal cord injury. J Spinal Cord Med. 2007;30:225–37. doi: 10.1080/10790268.2007.11753930 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Greenwald BD, Seel RT, Cifu DX, Shah AN.. Gender-related differences in acute rehabilitation lengths of stay, charges, and functional outcomes for a matched sample with spinal cord injury: a multicenter investigation. Arch Phys Med Rehabil. 2001;82:1181–7. doi: 10.1053/apmr.2001.24891 [DOI] [PubMed] [Google Scholar]
  • 37.Charles ED, Fine PR, Stover SL, Wood T, Lott AF, Kronenfeld J.. The costs of spinal cord injury. Paraplegia. 1978;15:302–10. [DOI] [PubMed] [Google Scholar]
  • 38.Fine PR, Stover SL, DeVivo MJ.. A methodology for predicting lengths of stay for spinal cord injury patients. Inquiry. 1987;24:147–56. [PubMed] [Google Scholar]
  • 39.Eastwood EA, Hagglund KJ, Ragnarsson KT, Gordon WA, Marino RJ.. Medical rehabilitation length of stay and outcomes for persons with traumatic spinal cord injury–1990-1997. Arch Phys Med Rehabil. 1999;80:1457–63. doi: 10.1016/S0003-9993(99)90258-7 [DOI] [PubMed] [Google Scholar]
  • 40.Mylotte JM, Graham R, Kahler L, Young BL, Goodnough S.. Impact of nosocomial infection on length of stay and functional improvement among patients admitted to an acute rehabilitation unit. Infect Control Hosp Epidemiol. 2001;22:83–7. doi: 10.1086/501868 [DOI] [PubMed] [Google Scholar]
  • 41.Herren C, Aghayev E, Kaulhausen T, et al. . Influencing factors on the length of stay in lumbar spine surgery: analysis of the German spine registry. Orthopade. 2014;43:1043–51. doi: 10.1007/s00132-014-3033-4 [DOI] [PubMed] [Google Scholar]
  • 42.Burns AS, Santos A, Cheng CL, et al. . Understanding length of stay after Spinal Cord injury: Insights and limitations from the access to care and Timing project. J Neurotrauma. 2017;34(20):2910–6. doi: 10.1089/neu.2016.4935 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Noe BB, Stapelfeldt CM, Parner ET, Mikkelsen EM.. Survival after traumatic spinal cord injury in Denmark: a hospital-based study among patients injured in 1990–2012. Spinal Cord. 2017;55:373–7. doi: 10.1038/sc.2016.154 [DOI] [PubMed] [Google Scholar]
  • 44.Chamberlain JD, Deriaz O, Hund-Georgiadis M, et al. . Epidemiology and contemporary risk profile of traumatic spinal cord injury in Switzerland. Inj Epidemiol. 2015;2(28):1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Hatch BB, Wood-Wentz CM, Therneau TM, Walker MG, Payne JM, Reeves RK.. Factors predictive of survival and estimated years of life lost in the decade following nontraumatic and traumatic spinal cord injury. Spinal Cord. 2017;55:540–4. doi: 10.1038/sc.2016.182 [DOI] [PubMed] [Google Scholar]
  • 46.Shibahashi K, Nishida M, Okura Y, Hamabe Y. Epidemiological state, predictors of early mortality, and predictive models for traumatic spinal cord injury: a multicenter nationwide cohort study. Spine (Phila Pa 1976). 2019;44(7):479–87. doi: 10.1097/BRS.0000000000002871 [DOI] [PubMed] [Google Scholar]
  • 47.Montoto-Marques A, Trillo-Dono N, Ferreiro-Velasco ME, et al. . Risks factors of mechanical ventilation in acute traumatic cervical spinal cord injured patients. Spinal Cord. 2018;56:206–11. doi: 10.1038/s41393-017-0005-7 [DOI] [PubMed] [Google Scholar]
  • 48.Wang Y, Guo Z, Fan D, et al. . A meta-analysis of the Influencing factors for tracheostomy after cervical Spinal Cord injury. Biomed Res Int. 2018;5895830:1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Hagen EM, Rekand T.. Management of bladder dysfunction and satisfaction of life after spinal cord injury in Norway. J Spinal Cord Med. 2014;37:310–6. doi: 10.1179/2045772313Y.0000000171 [DOI] [PMC free article] [PubMed] [Google Scholar]

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