Literature DB >> 25589900

Alcohol-related hospitalizations of adult motorcycle riders.

Hang-Tsung Liu1, Chi-Cheng Liang1, Cheng-Shyuan Rau2, Shiun-Yuan Hsu1, Ching-Hua Hsieh1.   

Abstract

OBJECTIVE: To provide an overview of the demographic characteristics of adult motorcycle riders with alcohol-related hospitalizations.
METHODS: Data obtained from the Trauma Registry System were retrospectively reviewed for trauma admissions at a level I trauma center between January 1, 2009 and December 31, 2013. Out of 16,548 registered patients, detailed information was retrieved regarding 1,430 (8.64%) adult motorcycle riders who underwent a blood alcohol concentration (BAC) test. A BAC level of 50 mg/dL was defined as the cut-off value for alcohol intoxication.
RESULTS: In this study, alcohol consumption was more frequently noted among male motorcycle riders, those aged 30-49 years, those who had arrived at the hospital in the evening or during the night, and those who did not wear a helmet. Alcohol consumption was associated with a lower percentage of sustained severe injury (injury severity score ≥25) and lower frequencies of specific body injuries, including cerebral contusion (0.6; 95% confidence interval [CI] = 0.42-0.80), lung contusion (0.5; 95% CI = 0.24-0.90), lumbar vertebral fracture (0.1; 95% CI = 0.01-0.80), humeral fracture (0.5; 95% CI = 0.27-0.90), and radial fracture (0.6; 95% CI = 0.40-0.89). In addition, alcohol-intoxicated motorcycle riders who wore helmets had significantly lower frequencies of cranial fracture (0.4; 95% CI = 0.29-0.67), epidural hematoma (0.5; 95% CI = 0.29-0.79), subdural hematoma (0.4; 95% CI = 0.28-0.64), subarachnoid hemorrhage (0.5; 95% CI = 0.32-0.72), and cerebral contusion (0.4; 95% CI = 0.25-0.78).
CONCLUSIONS: Motorcycle riders who consumed alcohol presented different characteristics and bodily injury patterns relative to sober patients, suggesting the importance of helmet use to decrease head injuries in alcohol-intoxicated riders.

Entities:  

Keywords:  Blood alcohol concentration (BAC); Helmet; Injury severity score (ISS); Motorcycle; Trauma

Year:  2015        PMID: 25589900      PMCID: PMC4293814          DOI: 10.1186/1749-7922-10-2

Source DB:  PubMed          Journal:  World J Emerg Surg        ISSN: 1749-7922            Impact factor:   5.469


Background

Motorcyclists are extremely vulnerable road participants who are exposed to severe and often fatal injuries. They are reportedly 8 times more likely to be injured per vehicle mile and 35 times more likely to die in a motor vehicle traffic crash than are automobile passengers [1]. These findings are of particular concern because the average age of motorcyclists is increasing [2]. In Taiwan, motorcyclists comprise a major portion of the trauma population; nearly 60% of all driving fatalities involve motorcycles [3]. Therefore, the identification of high-risk injury patterns may be beneficial in terms of improving the care and final outcomes of trauma patients admitted to hospitals [4]. Risky drinking has been consistently and strongly associated with higher frequencies of emergency department visits and hospitalizations [5, 6]. In trauma patients, alcohol intoxication may lead to a higher preclinical mortality, impact of speed differences, and injury severity [7]. At lower blood alcohol concentration (BAC) levels, motorcyclists are more often involved in crashes than are car drivers [8]. Nearly 60% and 40% of car and motorcycle driver fatalities, respectively, involved alcohol consumption [9], which even at doses as low as 10–40 mg/dL can impair driving performance [10]. Furthermore, the risk of involvement in a fatal accident increases exponentially with the driver’s BAC level [11]. However, Mann et al. explained that higher BAC levels might lead to less severe injuries without impacting mortality or the length of hospital stay (LOS) [12]. The odds ratio (OR) of collision between motorcyclists and unexpected pedestrians in an urban scenario increased 3-fold at a BAC of 0.02% relative to sobriety [13]. Furthermore, hazard perception ability, measured by responses to a peripheral detection task, was impaired following alcohol consumption [13]. Riding performance and hazard perception ability were shown to be impaired at a BAC of 0.05% [13]. Considering that almost all motorcycles are forbidden on highways in Taiwan and other Asian cities and that most traffic accidents occur in relatively crowded streets and at low velocities in these cities, the impact of alcohol intoxication on motorcycle injuries in Taiwan differs from that observed in Western countries and should be re-evaluated. Therefore, the purpose of this epidemiologic study was to investigate the injury patterns, severity, and mortality of adult patients hospitalized for alcohol-related injuries sustained in motorcycle accidents at a level I trauma center in southern Taiwan.

Methods

Study design

The study was conducted at Kaohsiung Chang Gung Memorial Hospital, a 2400-bed facility and level I regional trauma center that provides care to trauma patients primarily from the southern region of Taiwan. The Chang Gung Medical Foundation Institutional Review Board approved this study prior to its commencement (approval number 103-3628B). A retrospective study was designed to review all patients whose data were entered into the Trauma Registry System between January 1, 2009 and December 31, 2013. Out of 16,548 registered patients, 1,430 (8.64%) adult motorcycle riders and passengers (both referred to as riders hereafter) underwent a BAC test. Patients who did not undergo the BAC test were excluded from the study. A BAC level of 50 mg/dL, the legal limit for drivers in Taiwan, was defined as the cut-off value. Therefore, patients with a BAC level ≥50 mg/dL at the time of arrival at the hospital were considered intoxicated and were included in the study for further analysis. Detailed patient information was retrieved from the Trauma Registry System of our institution and included the following variables: age, gender, vital signs upon admission, arrival time at the hospital, injury mechanism, BAC levels upon arrival, Glasgow coma scale (GCS), abbreviated injury scale (AIS) of each body region, injury severity score (ISS), new injury severity score (NISS), trauma-injury severity score (TRISS), associated injuries, LOS, length of intensive care unit stay (LICUS), and in-hospital mortality rate. The first GCS score recorded in the emergency department was used in the analysis to minimize the effect of alcohol metabolism over time. Data collected regarding the populations of motorcycle riders with a positive BAC (n = 601, 42.0%) were compared to data from those with a negative BAC (n = 829, 58.0%) using SPSS v.20 statistical software (IBM Corporation, Armonk, NY, USA), and Pearson’s chi-squared test, Fisher’s exact test, or the independent Student’s t-test was used as appropriate. All results are presented as means ± standard errors. A p-value <0.05 was considered statistically significant.

Results

The mean ages of patients with positive and negative BAC levels were 39.2 ± 11.7 years and 39.5 ± 14.1 years, respectively (Table 1). After age stratification (by decade), a positive BAC was more frequently observed among patients aged 30–49 years and a negative BAC was more frequently observed among those aged 20–29 years and ≥50 years. A positive BAC was significantly associated with gender and the time of arrival at the hospital. Of the 601 patients with a positive BAC, 89.4% (n = 537) were men and 10.6% (n = 64) were women. Of the 829 patients with a negative BAC, 64.7% (n = 536) were men and 35.3% (n = 293) were women. Most patients with a positive BAC arrived at the hospital in the evening (17:00–23:00) and during the night (23:00–7:00); most patients with a negative BAC arrived during the daytime (7:00–17:00). When patients were analyzed with respect to helmet use, for which data were recorded for 96.3% of patients with a positive BAC and 95.1% of patients with a negative BAC, the percentage of drivers who wore a helmet was significantly higher among those with a negative BAC than among those with a positive BAC (78.2% vs. 68.4%; p = 0.000). In addition, the percentage of riders who had not worn a helmet was significantly higher among drivers with a positive BAC than among those with a negative BAC (24.1% vs. 13.0%; p = 0.000). In contrast, no significant difference regarding helmet use was observed between motorcycle passengers with positive and negative BAC levels. The mean BAC levels of injured adult motorcycle riders admitted to the trauma center with negative and positive BAC levels were 6.4 mg/dL (range: 0–49.8 mg/dL) and 193.1 mg/dL (range: 50–443.1 mg/dL), respectively. The mean BAC level among patients with a positive BAC was nearly 4 times the legal limit permitted for drivers in Taiwan.
Table 1

Demographics and characteristics of adult motorcycle riders with positive and negative blood alcohol concentration

VariablesBAC+, n (%)BAC-, n (%) p
N = 601N = 829
Age (years)39.2 ±11.739.5 ±14.10.000
Age category
  20-29 years148 (24.6%)278 (33.5%)0.000
  30-39 years169 (28.1%)142 (17.1%)0.000
  40-49 years153 (25.5%)147 (17.7%)0.000
  50-59 years102 (17.0%)190 (22.9%)0.006
  ≥60 years29 (4.8%)72 (8.7%)0.005
Gender0.000
  Male537 (89.4%)536 (64.7%)
  Female64 (10.6%)293 (35.3%)
Time
  7:00-17:00112 (18.6%)384 (46.3%)0.000
  17:00-23:00252 (41.9%)280 (33.8%)0.002
  23:00-7:00237 (39.4%)165 (19.9%)0.000
Helmet
  Drivers(+)411 (68.4%)648 (78.2%)0.000
  Drivers(-)145 (24.1%)108 (13.0%)0.000
  Passengers(+)13 (2.2%)25 (3.0%)0.322
  Passengers(-)10 (1.7%)7 (0.8%)0.158
  Unknown22 (3.7%)41 (4.9%)0.242
BAC level (mg/dL)
  Mean193.1 ±72.66.4 ±6.60.000
  Range50-443.10-49.8
Demographics and characteristics of adult motorcycle riders with positive and negative blood alcohol concentration As shown in Table 2, the GCS score was significantly lower among patients with a positive BAC than among those with a negative BAC (12.1 ± 3.9 vs. 12.9 ± 3.6; p = 0.003); however, the difference was <1 point. The incidence of unclear consciousness (GCS score ≤8) was significantly higher among patients with a positive BAC than among those with a negative BAC (20.3% vs. 16.2%; p = 0.004). The percentage of patients with a GCS score of 9–12 was also significantly higher among patients with a positive BAC than among those with a negative BAC (15.8% vs. 10.0%; p = 0.001). In contrast, the percentage of patients with a GCS score ≥13 was significantly higher among those with a negative BAC than among those with a positive BAC (73.8% vs. 63.9%; p = 0.000). According to the AIS, patients with a positive BAC had a higher rate of facial injury than did those with a negative BAC ((45.6% vs. 39.7%; p = 0.026). The frequencies of injuries to the head/neck, thorax, abdomen, and extremities did not significantly differ between these 2 groups. Alcohol consumption was associated with a lower ISS (12.9 ± 9.3 vs. 14.1 ± 10.0; p = 0.059) and NISS (15.4 ± 11.1 vs. 16.5 ± 11.9; p = 0.052) than was sobriety, although these difference were not significant. However, no differences were observed between the positive and negative BAC groups in terms of the TRISS (0.933 ± 0.155 and 0.931 ± 0.157, respectively; p = 0.910) or in-hospital mortality rate (3.2% and 4.9%, respectively; p = 0.097). When the patients were stratified according to the ISS (i.e., <16, 16–24, and ≥25), an ISS ≥25 was more common among patients with a negative BAC than among those with a positive BAC (15.3% vs. 10.1%; p = 0.004).
Table 2

Glasgow coma scale and injury-related characteristics of adult motorcycle riders with positive and negative blood alcohol concentration

VariablesBAC + N = 601BAC-N = 829 p
GCS12.1±3.912.9 ±3.60.003
GCS, n (%)
  ≤8122 (20.3%)134 (16.2%)0.004
  9-1295 (15.8%)83 (10.0%)0.001
  ≥13384 (63.9%)612 (73.8%)0.000
AIS, n (%)
  Head/Neck352 (58.6%)492 (59.3%)0.767
  Face274 (45.6%)329 (39.7%)0.026
  Thorax123 (20.5%)164 (19.8%)0.750
  Abdomen69 (11.5%)98 (11.8%)0.843
  Extremity353 (58.7%)504 (60.8%)0.432
ISS12.9 ±9.314.1 ±10.00.059
  <16387 (64.4%)503 (60.7%)0.152
  16-24153 (25.5%)199 (24.0%)0.529
  ≥2561 (10.1%)127 (15.3%)0.004
NISS15.4 ±11.116.5 ±11.90.052
TRISS0.933 ±0.1550.931 ±0.1570.910
Mortality, n (%)19 (3.2%)41 (4.9%)0.097
Glasgow coma scale and injury-related characteristics of adult motorcycle riders with positive and negative blood alcohol concentration Alcohol use was not associated with the LOS in patients with a positive or negative BAC (12.0 days and 13.2 days, respectively; p = 0.183) regardless of their ISS (i.e., <16, 16–24, and ≥25; Table 3). In addition, alcohol use was not associated with the percentage of patients admitted to the ICU in the positive or negative BAC group (36.8% vs. 40.9%, respectively; p = 0.115); however, in the subgroup of patients with an ISS of ≥25, patients with a negative BAC had a longer LICUS than did those with a positive BAC ((13.0 days vs. 9.9 days; p = 0.029). No difference in the LICUS was observed between these 2 groups for the ISS <16 and 16–24 categories. To summarize, there were more patients with a negative BAC and ISS ≥25, and these patients had a longer LICUS. In addition, no significant difference was observed in mortality between the positive and negative BAC groups, regardless of injury severity.
Table 3

Hospital and ICU length of stay (LOS) and mortality rates in patients stratified by the injury severity score

VariablesISSBAC + N = 601BAC-N = 829 p
LOS12.0 ±11.313.2 ±14.40.183
  n (%)<16387 (64.4%)503 (60.7%)0.152
16-24153 (25.5%)199 (24.0%)0.529
≥2561 (10.1%)127 (15.3%)0.004
  days<169.5 ±9.19.9 ±7.70.176
16-2414.7±11.715.2 ±12.60.816
≥2521.4 ±15.923.7 ±26.70.085
LICUS221 (36.8%)339 (40.9%)0.115
  n (%)<1659 (26.7%)93 (27.4%)0.848
16-24106 (48.0%)139 (41.0%)0.105
≥2556 (25.3%)107 (31.6%)0.113
  days<164.4 ±3.95.0 ±3.50.973
16-245.7 ±4.86.3 ±5.70.497
≥259.9 ±8.313.0 ±15.70.029
Mortality
  n (%)<163 (0.8%)3 (0.6%)0.747
16-245 (3.3%)6 (3.0%)0.892
≥2511 (18.0%)32 (25.2%)0.274
Hospital and ICU length of stay (LOS) and mortality rates in patients stratified by the injury severity score Injuries associated with motorcycle accidents are shown in Table 4. Significantly lower ORs were observed among adult motorcycle riders with a positive BAC who experienced cerebral contusion (0.6; 95% confidence interval [CI] = 0.42–0.80; p = 0.001), lung contusion (0.5; 95% CI = 0.24–0.90; p = 0.020), lumbar vertebral fracture (0.1; 95% CI = 0.01–0.80; p = 0.008), humeral fracture (0.5; 95% CI = 0.27–0.90; p = 0.018), and radial fracture (0.6; 95% CI = 0.40–0.89; p = 0.012; Figure 1).
Table 4

Associated injuries of the adult motorcycle riders with positive and negative blood alcohol concentration

VariableBAC + N = 601BAC- N = 829 Odds ratio (95% CI) p
Head trauma, n(%)
  Neurologic deficit13 (2.2)21 (2.5)0.9 (0.42-1.71)0.650
  Cranial fracture130 (21.6)149 (18.0)1.3 (0.97-1.64)0.085
  Epidural hematoma (EDH)82 (13.6)109 (13.1)1.0 (0.77-1.42)0.786
  Subdural hematoma (SDH)126 (21.0)185 (22.3)0.9 (0.72-1.19)0.541
  Subarachnoid hemorrhage (SAH)142 (23.6)231 (27.9)0.8 (0.63-1.02)0.072
  Intracerebral hematoma (ICH)34 (5.7)54 (6.5)0.9 (0.55-1.34)0.506
  Cerebral contusion60 (10.0)134 (16.2)0.6 (0.42-0.80)0.001
  Cervical vertebral fracture9 (1.5)13 (1.6)1.0 (0.41-2.25)0.915
Maxillofacial trauma, n(%)
  Maxillary fracture110 (18.3)125 (15.1)1.3 (0.95-1.67)0.104
  Mandibular fracture50 (8.3)53 (6.4)1.3 (0.89-1.99)0.164
  Orbital fracture39 (6.5)38 (4.6)1.4 (0.91-2.29)0.115
  Nasal fracture20 (3.3)22 (2.7)1.3 (0.68-2.34)0.456
Thoracic trauma, n(%)
  Rib fracture86 (14.3)99 (11.9)1.2 (0.90-1.68)0.188
  Hemothorax16 (2.7)22 (2.7)1.0 (0.52-1.93)0.992
  Pneumothorax18 (3.0)28 (3.4)0.9 (0.48-1.61)0.686
  Hemopneumothorax12 (2.0)25 (3.0)0.7 (0.33-1.32)0.231
  Lung contusion12 (2.0)35 (4.2)0.5 (0.24-0.90)0.020
  Thoracic vertebral fracture5 (0.8)7 (0.8)1.0 (0.31-3.12)0.980
Abdominal trauma, n(%)
  Intra-abdominal injury13 (2.2)27 (3.3)0.7 (0.34-1.28)0.216
  Hepatic injury35 (5.8)50 (6.0)1.0 (0.62-1.50)0.870
  Splenic injury16 (2.7)21 (2.5)1.1 (0.54-2.03)0.879
  Retroperitoneal injury2 (0.3)4 (0.5)0.7 (0.13-3.77)0.665
  Renal injury6 (1.0)9 (1.1)0.9 (0.33-2.60)0.873
  Urinary bladder injury2 (0.3)1 (0.1)2.8 (0.25-30.56)0.387
  Lumbar vertebral fracture1 (0.2)13 (1.6)0.1 (0.01-0.80)0.008
Extremity trauma, n(%)
  Scapular fracture25 (4.2)19 (2.3)1.9 (1.01-3.39)0.044
  Clavicle fracture96 (16.0)105 (12.7)1.3 (0.97-1.77)0.076
  Humeral fracture15 (2.5)41 (4.9)0.5 (0.27-0.90)0.018
  Radial fracture37 (6.2)82 (9.9)0.6 (0.40-0.89)0.012
  Ulnar fracture25 (4.2)43 (5.2)0.8 (0.48-1.31)0.368
  Metacarpal fracture15 (2.5)21 (2.5)1.0 (0.50-1.93)0.965
  Pelvic fracture20 (3.3)34 (4.1)0.8 (0.46-1.41)0.449
  Femoral fracture57 (9.5)87 (10.5)0.9 (0.63-1.27)0.531
  Patella fracture21 (3.5)27 (3.3)1.1 (0.60-1.92)0.806
  Tibia fracture57 (9.5)78 (9.4)1.0 (0.71-1.44)0.962
  Fibular fracture31 (5.2)52 (6.3)0.8 (0.51-1.28)0.374
  Calcaneal fracture17 (2.8)26 (3.1)0.9 (0.48-1.67)0.737
  Metatarsal fracture6 (1.0)18 (2.2)0.5 (0.18-1.15)0.088
Figure 1

Odds ratio (OR) of associated injuries in the adult motorcycle riders with positive or negative BAC.

Associated injuries of the adult motorcycle riders with positive and negative blood alcohol concentration Odds ratio (OR) of associated injuries in the adult motorcycle riders with positive or negative BAC. In subsequent analyses, we focused on accidents associated with helmet use among motorcycle riders with a positive BAC (Table 5). We found that 424 patients did and 155 patients did not wear a helmet in these alcohol-related motorcycle accidents. Motorcycle riders who had worn a helmet had significantly lower ORs for cranial fracture (0.4; 95% CI = 0.29–0.67; p = 0.000), epidural hematoma (0.5; 95% CI = 0.29–0.79; p = 0.003), subdural hematoma (0.4; 95% CI = 0.28–0.64; p = 0.000), subarachnoid hemorrhage (0.5; 95% CI = 0.32–0.72; p = 0.000), and cerebral contusion (0.4; 95% CI = 0.25–0.78; p = 0.004; Figure 2) than those who had not worn a helmet.
Table 5

Associated injuries of the alcohol-intoxicated adult motorcycle riders with or without helmet-wearing

VariablesHelmet + N = 424Helmet-N = 155 Odds ratio (95% CI) p
Head/Neck trauma, n(%)
  Neurologic deficit9 (2.1%)4 (2.6%)0.8 (0.25-2.70)0.742
  Cranial fracture73 (17.2%)50 (32.3%)0.4 (0.29-0.67)0.000
  Epidural hematoma (EDH)47 (11.1%)32 (20.6%)0.5 (0.29-0.79)0.003
  Subdural hematoma (SDH)71 (16.7%)50 (32.3%)0.4 (0.28-0.64)0.000
  Subarachnoid hemorrhage (SAH)84 (19.8%)53 (34.2%)0.5 (0.32-0.72)0.000
  Intracerebral hematoma (ICH)21 (5.0%)10 (6.5%)0.8 (0.35-1.64)0.478
  Cerebral contusion32 (7.5%)24 (15.5%)0.4 (0.25-0.78)0.004
  Cervical vertebral fracture6 (1.4%)3 (1.9%)0.7 (0.18-2.94)0.654
Maxillofacial trauma, n(%)
  Maxillary fracture73 (17.2%)34 (21.9%)0.7 (0.47-1.17)0.195
  Mandibular fracture34 (8.0%)13 (8.4%)1.0 (0.49-1.86)0.886
  Orbital fracture28 (6.6%)10 (6.5%)1.0 (0.49-2.16)0.948
  Nasal fracture13 (3.1%)5 (3.2%)0.9 (0.33-2.71)0.922
Thoracic trauma, n(%)
  Rib fracture66 (15.6%)16 (10.3%)1.6 (0.90-2.86)0.109
  Hemothorax11 (2.6%)4 (2.6%)1.0 (0.32-3.21)0.993
  Pneumothorax11 (2.6%)5 (3.2%)0.8 (0.27-2.34)0.682
  Hemopneumothorax9 (2.1%)2 (1.3%)1.7 (0.35-7.77)0.516
  Lung contusion6 (1.4%)6 (3.9%)0.4 (0.11-1.12)0.066
  Thoracic vertebral fracture3 (0.7%)2 (1.3%)0.5 (0.09-3.29)0.502
Figure 2

Odds ratio (OR) of associated injuries in the alcohol-intoxicated adult motorcycle riders with or without helmet-wearing.

Associated injuries of the alcohol-intoxicated adult motorcycle riders with or without helmet-wearing Odds ratio (OR) of associated injuries in the alcohol-intoxicated adult motorcycle riders with or without helmet-wearing.

Discussion

In this study, we analyzed the demographics and characteristics of alcohol-related motorcycle injuries in a population of adult patients at a level I trauma center. As expected, a positive BAC was more frequently noted among male patients, those aged 30–49 years, those who arrived at the hospital in the evening or during the night, and those who did not wear a helmet. In addition, patients who consumed alcohol before their injury were more likely to suffer a facial injury and have a lower initial GCS as determined upon presentation at the emergency department. Motorcycle riders with a positive BAC had less severe injuries (ISS ≥25) than did riders with a negative BAC. In addition, alcohol-intoxicated motorcycle riders had decreased ORs for cerebral contusion, lung contusion, lumbar vertebral fracture, humeral fracture, and radial fracture when compared with sober patients. However, this does not mean that alcohol consumption protects patients from sustaining severe injuries. Although the legal BAC limits differ from country to country, motorcycle riders are typically subjected to the same limits as car drivers [13]; however, the level of skill required to ride a motorcycle or drive a motor vehicle under the influence of the same alcohol concentration should also be considered. Alcohol-related accidents differ distinctly from non-alcohol-related crashes, and inattention is the strongest contributing factor to these accidents [14]. Motorcycle riding performance and hazard perception were shown to be impaired at a BAC of 0.05% [13]. Riders who consume alcohol are more likely to lose control of the motorcycle by driving off the road, be involved in a single vehicle accident, violate traffic control signals, and be involved in non-intersection collisions [14]. Although the relationship between a low BAC and riding performance is reported to be complex, evident impairment of some riding performance measures has been observed at a BAC of 0.02% but no effects, even positive ones, were demonstrated for other riding performance measures [13]. In this study, the mean BAC among patients with a positive BAC was nearly 4 times the legal limit permitted for driving in Taiwan, indicating that the riding performance in these patients was obviously impaired relative to patients with a negative BAC. Therefore, motorcycle riders who consume alcohol may tend to be involved in accidents in crowded cities and have a lower percentage of severe injury and lower frequency of specific body injuries when compared with sober motorcycle riders. Alcohol consumption is among the most important personal risk factors for serious and fatal injuries and contributes to approximately one-third of all deaths due to alcohol-intoxicated trauma accidents [15]. Alcohol intoxication has also been described as resulting in increased mortality during the clinical course [15, 16]. Motorcycle riders have an estimated 3-fold higher fatality risk at a BAC of 0.03% (95% CI = 2.8–3.5) and a 20-fold higher fatality risk at a BAC of 0.08% (95% CI = 15.0–27.3), compared with sober riders [17]. An age >60 years, lack of a helmet, driving after alcohol consumption, and driving without a valid license have been determined as factors influencing the high frequency and risk of motorcycle death [3]. Head trauma was found to be the most frequent and severe injury type among motorcycle accident cases in which alcohol consumption was the most significant factor [18]. Traumatic brain injury (67%) and hypovolemic shock (38%) have been reported as the most frequent causes of death in such cases [18]. The present study further revealed that a significant percentage of alcohol-intoxicated motorcycle riders did not wear a helmet, leaving them at an increased risk of head region injury. Although the serum ethanol level has been shown to be associated independently with either increased [19, 20] or decreased mortality in patients with traumatic brain injuries [21, 22], some authors have reported that the risk of fatality among patients with a brain injury was significantly reduced if the patients were intoxicated (BAC ≥200 mg/dL) before the injury [23]. In the present study, the mortality rates of patients with positive and negative BAC levels did not significantly differ, regardless of the ISS (i.e., <16, 16–24, and ≥25). Our study observation was similar to that of a previous report in which the mortality risk was not higher in patients with a positive BAC [23]. Although there a mandatory law for the motorcycle rider to wear a helmet in Taiwan, the motorcyclists or passengers who are intoxicated and uninsured are less likely to wear a helmet [24]. In Los Angeles, motorcyclists who consumed alcohol were half as likely to wear a helmet, compared with nondrinkers [25]. Similar results were also observed in the present study, in which sober motorcycle drivers were significantly more likely to wear a helmet than were alcohol-intoxicated drivers. However, the helmet status did not significantly differ among motorcycle passengers. The effectiveness of helmets for reducing the risk of crash-related severe head injury in motorcyclists is well established [26]. In addition, an increased risk of adverse facial injury outcomes were observed for riders with non-fixed helmets relative to those with fixed helmets (adjusted OR = 2.10; 95% CI = 1.41–3.13) [26]. According to our analyses regarding helmet status among motorcycle riders with a positive BAC, alcohol-intoxicated riders who wore a helmet had a significantly lower OR for sustaining a cranial fracture, epidural hematoma, subdural hematoma, subarachnoid hemorrhage, or cerebral contusion. Although several preventive measures exist, wearing a helmet has particularly been shown to protect against head injuries and can be cost-effective if proposed as a regulated bylaw for motorcyclists [27-29]. In an analysis of 858,741 traffic deaths in the United States during a 20-year period, the mortality rates attributed to each of the following risk factors decreased by the corresponding percentages: no motorcycle helmet, 74%; alcohol, 53%; not wearing a seat belt, 49%; and lack of an air bag, 17% [30]. Therefore, education and prevention strategies may provide benefits by targeting high-risk populations [24]. The limitations of this study include the use of a retrospective design and the lack of data regarding the circumstances of the injury mechanism and the decision-making in dealing with the associated injuries [31]. The lack of data regarding the motorcycle speed during accidents, type of motorcycle, type of helmet material, and use of any other protective materials prevented an analysis of motorcycle-related hospitalization according to exposure-based risks. Furthermore, although rare in Taiwan, the combination of psychoactive drug and alcohol use may further increase the risk of an accident. BAC measurements are the most commonly used method to determine whether trauma patients have consumed alcohol, and all drivers involved in traffic accidents are legally compelled to undergo a test to estimate their BAC; however, a few patients may have refused to undergo an actual BAC test after alcohol consumption was confirmed using a breathalyzer. Accordingly, these patients might have been included in an incorrect analytical category because the breathalyzer results had not been noted in the medical records; however, in our experience, such cases are rare.

Conclusion

In summary, alcohol consumption was more frequently noted among male motorcycle riders, those aged 30–49 years, those who arrived at the hospital in the evening or during the night, and those who did not wear a helmet. Patients who had consumed alcohol had a lower likelihood of sustaining a severe injury (ISS ≥25) and a lower frequency of specific body injuries. In addition, alcohol-intoxicated motorcycle riders who wore helmets had significantly lower frequencies of cranial fracture, epidural hematoma, subdural hematoma, subarachnoid hemorrhage, and cerebral contusion.
  31 in total

Review 1.  An evidence-based review: helmet efficacy to reduce head injury and mortality in motorcycle crashes: EAST practice management guidelines.

Authors:  Jana B A MacLeod; J Christopher Digiacomo; Glen Tinkoff
Journal:  J Trauma       Date:  2010-11

2.  Intoxication and injury.

Authors:  S E Pories; R L Gamelli; P Vacek; G Goodwin; T Shinozaki; F Harris
Journal:  J Trauma       Date:  1992-01

3.  The aging road warrior: national trend toward older riders impacts outcome after motorcycle injury.

Authors:  Joshua B Brown; Paul E Bankey; John T Gorczyca; Julius D Cheng; Nicole A Stassen; Mark L Gestring
Journal:  Am Surg       Date:  2010-03       Impact factor: 0.688

4.  Helmet use and risk compensation in motorcycle accidents.

Authors:  James V Ouellet
Journal:  Traffic Inj Prev       Date:  2011-02       Impact factor: 1.491

5.  Alcohol intoxication in road traffic accidents leads to higher impact speed difference, higher ISS and MAIS, and higher preclinical mortality.

Authors:  Timo Stübig; Maximilian Petri; Christian Zeckey; Stephan Brand; Christian Müller; Dietmar Otte; Christian Krettek; Carl Haasper
Journal:  Alcohol       Date:  2012-07-21       Impact factor: 2.405

6.  Alcohol-related relative risk of driver fatalities and driver involvement in fatal crashes in relation to driver age and gender: an update using 1996 data.

Authors:  P L Zador; S A Krawchuk; R B Voas
Journal:  J Stud Alcohol       Date:  2000-05

7.  Does alcohol intoxication protect patients from severe injury and reduce hospital mortality? The association of alcohol consumption with the severity of injury and survival in trauma patients.

Authors:  Chi-Hsun Hsieh; Li-Ting Su; Yu-Chun Wang; Chih-Yuan Fu; Hung-Chieh Lo; Chiu-Hsiu Lin
Journal:  Am Surg       Date:  2013-12       Impact factor: 0.688

Review 8.  Effects of alcohol and other drugs on driver performance.

Authors:  E J D Ogden; H Moskowitz
Journal:  Traffic Inj Prev       Date:  2004-09       Impact factor: 1.491

9.  Is blood alcohol level a good predictor for injury severity outcomes in motor vehicle crash victims?

Authors:  Bikaramjit Mann; Ediriweera Desapriya; Takeo Fujiwara; Ian Pike
Journal:  Emerg Med Int       Date:  2011-09-14       Impact factor: 1.112

10.  The effect of motorcycle helmet type, components and fixation status on facial injury in Klang Valley, Malaysia: a case control study.

Authors:  Roszalina Ramli; Jennifer Oxley; Peter Hillard; Ahmad Farhan Mohd Sadullah; Roderick McClure
Journal:  BMC Emerg Med       Date:  2014-08-03
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  11 in total

1.  Obese motorcycle riders have a different injury pattern and longer hospital length of stay than the normal-weight patients.

Authors:  Hang-Tsung Liu; Cheng-Shyuan Rau; Shao-Chun Wu; Yi-Chun Chen; Shiun-Yuan Hsu; Hsiao-Yun Hsieh; Ching-Hua Hsieh
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-04-14       Impact factor: 2.953

2.  Characteristics and Outcomes of Patients Injured in Road Traffic Crashes and Transported by Emergency Medical Services.

Authors:  Chun-Ying Huang; Cheng-Shyuan Rau; Jung-Fang Chuang; Pao-Jen Kuo; Shiun-Yuan Hsu; Yi-Chun Chen; Hsiao-Yun Hsieh; Ching-Hua Hsieh
Journal:  Int J Environ Res Public Health       Date:  2016-02-19       Impact factor: 3.390

3.  Traumatic injuries among adult obese patients in southern Taiwan: a cross-sectional study based on a trauma registry system.

Authors:  Jung-Fang Chuang; Cheng-Shyuan Rau; Pao-Jen Kuo; Yi-Chun Chen; Shiun-Yuan Hsu; Hsiao-Yun Hsieh; Ching-Hua Hsieh
Journal:  BMC Public Health       Date:  2016-03-18       Impact factor: 3.295

4.  Influence of alcohol use on mortality and expenditure during hospital admission: a cross-sectional study.

Authors:  Shu-Hui Peng; Shiun-Yuan Hsu; Pao-Jen Kuo; Cheng-Shyuan Rau; Ya-Ai Cheng; Ching-Hua Hsieh
Journal:  BMJ Open       Date:  2016-11-01       Impact factor: 2.692

5.  Derivation and validation of different machine-learning models in mortality prediction of trauma in motorcycle riders: a cross-sectional retrospective study in southern Taiwan.

Authors:  Pao-Jen Kuo; Shao-Chun Wu; Peng-Chen Chien; Cheng-Shyuan Rau; Yi-Chun Chen; Hsiao-Yun Hsieh; Ching-Hua Hsieh
Journal:  BMJ Open       Date:  2018-01-05       Impact factor: 2.692

6.  Patterns Associated with Adult Mandibular Fractures in Southern Taiwan-A Cross-Sectional Retrospective Study.

Authors:  Ko-Chien Lin; Shu-Hui Peng; Pao-Jen Kuo; Yi-Chun Chen; Cheng-Shyuan Rau; Ching-Hua Hsieh
Journal:  Int J Environ Res Public Health       Date:  2017-07-24       Impact factor: 3.390

7.  Trauma injury in adult underweight patients: A cross-sectional study based on the trauma registry system of a level I trauma center.

Authors:  Ching-Hua Hsieh; Wei-Hung Lai; Shao-Chun Wu; Yi-Chun Chen; Pao-Jen Kuo; Shiun-Yuan Hsu; Hsiao-Yun Hsieh
Journal:  Medicine (Baltimore)       Date:  2017-03       Impact factor: 1.889

Review 8.  Revisiting delayed appendectomy in patients with acute appendicitis.

Authors:  Jian Li
Journal:  World J Clin Cases       Date:  2021-07-16       Impact factor: 1.337

9.  How Does the Severity of Injury Vary between Motorcycle and Automobile Accident Victims Who Sustain High-Grade Blunt Hepatic and/or Splenic Injuries? Results of a Retrospective Analysis.

Authors:  Ting-Min Hsieh; Tsung-Cheng Tsai; Yueh-Wei Liu; Ching-Hua Hsieh
Journal:  Int J Environ Res Public Health       Date:  2016-07-21       Impact factor: 3.390

10.  Location of Femoral Fractures in Patients with Different Weight Classes in Fall and Motorcycle Accidents: A Retrospective Cross-Sectional Analysis.

Authors:  Meng-Wei Chang; Hang-Tsung Liu; Chun-Ying Huang; Peng-Chen Chien; Hsiao-Yun Hsieh; Ching-Hua Hsieh
Journal:  Int J Environ Res Public Health       Date:  2018-05-27       Impact factor: 3.390

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