Can helmet decrease mortality of craniocerebral trauma patients in a motorcycle accident?: A propensity score matching
Woo Sung Choi aff001; Jin-Seong Cho aff002; Yeon Sik Jang aff001; Yong Su Lim aff002; Hyuk Jun Yang aff002; Jae-Hyug Woo aff002
Působiště autorů: Department of Emergency Medicine, Gachon University Gil Medical Center, Incheon, Republic of Korea aff001; Department of Emergency Medicine, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea aff002
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
A helmet is critical for preventing head injuries during motorcycle accidents. However, South Korean motorcyclists have a lower prevalence of wearing a helmet, compared to developed countries. Therefore, we aimed to evaluate whether helmet wearing was associated with the clinical outcomes in Korean motorcycle accidents. Data were obtained from the Emergency Department-based Injury In-depth Surveillance database 2011–2015. We considered the patients had experienced a motorcycle accident and were only diagnosed with a craniocerebral trauma (CCT). The primary outcome was mortality and the secondary outcomes were the severity and hospitalization duration. The patients were separated whether they were wearing a helmet and the outcomes were compared using multivariate logistic regression after propensity score matching (PSM). Among 1,254,250 patients in the database, 2,549 patients were included. After PSM, 1,016 patients in each group were matched. The univariate analyses revealed that helmet wearing was associated with lesser severity (P < 0.001) and shorter hospitalization (P < 0.001). The regression analysis revealed that mortality was also lower in a helmet-wearing group (odds ratio: 0.34, 95% confidence interval: 0.21–0.56). In conclusion, wearing a helmet may reduce the mortality from a CCT after a motorcycle accident and associated with lesser severity and shorter hospitalization.
Alcohol consumption – Ambulances – Critical care and emergency medicine – Death rates – Health insurance – Hospitals – Patients – Schools
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