Dataset Information

Severity and injury characteristics among matched hospitalized motorcycle drivers and their passengers.

ABSTRACT: PURPOSE:After car accident, motorcycle accident ranks as the second leading cause of traffic fatality in Iran. This study aimed to compare the severity and clinical presentations between drivers and passengers under the same injury circumstance. METHODS:This study was conducted in the trauma center of Shiraz, Iran in 2017. Data on demographics, triage level, blood pressure, respiratory rate, Glasgow coma scale (GCS), injured body region, injury severity score (ISS), revised trauma score (RTS), and result of accident were compared between pairs of drivers and passengers. The agreement of any type of injury between drivers and passengers evaluated by Kappa test. RESULTS:This study included 143 matched pairs of drivers and passengers. Most of the pairs (84.5%) did not use helmet and 77.2% of the riders do not have driving license. ISS was significantly higher in drivers than passengers. In the unmatched pairs, drivers and passengers showed no difference in sustaining injuries in the face, head & neck, chest and soft tissue, but drivers were found more likely to suffer from injuries in the abdomen, extremities, pelvis and spine than passengers. Once one part of the matched pair suffered injury in the head & neck, face, chest, abdomen, extremities and soft tissue & skin injury, the probability that the other part had an injury in the same region was 50%, 9%, 13%, 7%, 22% and 34% respectively. Kappa value for these body regions was 0.006, 0.009, -0.006, 0.068, 0.063 and 0.001, respectively, which was significant in abdomen and extremities. CONCLUSION:Although drivers had higher level of injury severity and some different injury distributions, we recommend equal treatment to drivers and passengers. We also recommend related authorities to develop policies on helmet use, driving license and third-party insurance.

SUBMITTER: Yadollahi M

PROVIDER: S-EPMC6667746 | biostudies-other | 2019 Aug

REPOSITORIES: biostudies-other

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Severity and injury characteristics among matched hospitalized motorcycle drivers and their passengers.

Yadollahi Mahnaz M Jamali Babak B

Chinese journal of traumatology = Zhonghua chuang shang za zhi 20190502 4

<h4>Purpose</h4>After car accident, motorcycle accident ranks as the second leading cause of traffic fatality in Iran. This study aimed to compare the severity and clinical presentations between drivers and passengers under the same injury circumstance.<h4>Methods</h4>This study was conducted in the trauma center of Shiraz, Iran in 2017. Data on demographics, triage level, blood pressure, respiratory rate, Glasgow coma scale (GCS), injured body region, injury severity score (ISS), revised trauma ...[more]

PMID: 31235286

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Project description:BackgroundThe coronavirus disease 2019 (COVID-19) has become a global pandemic, with 10%-20% of severe cases and over 508 000 deaths worldwide.ObjectiveThis study aims to address the risk factors associated with the severity of COVID-19 patients and the mortality of severe patients.Methods289 hospitalized laboratory-confirmed COVID-19 patients were included in this study. Electronic medical records, including patient demographics, clinical manifestation, comorbidities, laboratory tests results, and radiological materials, were collected and analyzed. According to the severity and outcomes of the patients, they were divided into three groups: nonsurvived (n = 49), survived severe (n = 78), and nonsevere (n = 162) groups. Clinical, laboratory, and radiological data were compared among these groups. Principal component analysis (PCA) was applied to reduce the dimensionality and visualize the patients on a low-dimensional space. Correlations between clinical, radiological, and laboratory parameters were investigated. Univariate and multivariate logistic regression methods were used to determine the risk factors associated with mortality in severe patients. Longitudinal changes of laboratory findings of survived severe cases and nonsurvived cases during hospital stay were also collected.ResultsOf the 289 patients, the median age was 57 years (range, 22-88) and 155 (53.4%) patients were male. As of the final follow-up date of this study, 240 (83.0%) patients were discharged from the hospital and 49 (17.0%) patients died. Elder age, underlying comorbidities, and increased laboratory variables, such as leukocyte count, neutrophil count, neutrophil-to-lymphocyte ratio (NLR), C-reactive protein (CRP), procalcitonin (PCT), D-dimer, alanine aminotransferase (ALT), aspartate aminotransferase (AST), and blood urea nitrogen (BUN) on admission, were found in survived severe cases compared to nonsevere cases. According to the multivariate logistic regression analysis, elder age, a higher number of affected lobes, elevated CRP levels on admission, increased prevalence of chest tightness/dyspnea, and smoking history were independent risk factors for death of severe patients. A trajectory in PCA was observed from "nonsevere" toward "nonsurvived" via "severe and survived" patients. Strong correlations between the age of patients, the affected lobe numbers, and laboratory variables were identified. Dynamic changes of laboratory findings of survived severe cases and nonsurvived cases during hospital stay showed that continuing increase of leukocytes and neutrophil count, sustained lymphopenia and eosinopenia, progressing decrease in platelet count, as well as high levels of NLR, CRP, PCT, AST, BUN, and serum creatinine were associated with in-hospital death.ConclusionsSurvived severe and nonsurvived COVID-19 patients had distinct clinical and laboratory characteristics, which were separated by principle component analysis. Elder age, increased number of affected lobes, higher levels of serum CRP, chest tightness/dyspnea, and smoking history were risk factors for mortality of severe COVID-19 patients. Longitudinal changes of laboratory findings may be helpful in predicting disease progression and clinical outcome of severe patients.

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Severity and injury characteristics among matched hospitalized motorcycle drivers and their passengers.

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Severity and injury characteristics among matched hospitalized motorcycle drivers and their passengers.

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