1.The utility of physician-staffed helicopters for managing individuals who experience severe isolated head trauma
Soichiro OTA ; Kei JITSUIKI ; Ken-ichi MURAMATSU ; Yoshihiro KUSHIDA ; Hiroki NAGASAWA ; Hiromichi OHSAKA ; Kazuhiko OMORI ; Youichi YANAGAWA
Journal of Rural Medicine 2021;16(4):245-249
Objective: The authors retrospectively investigated prognostic factors for severe isolated head trauma in patients evacuated by a physician-staffed helicopter emergency medical service (HEMS) or ground ambulance using data from the Japan Trauma Data Bank (JTDB).Patients and Methods: This study was a retrospective analysis of data housed in the JTDB database. The study period was from January 2004 to May 2019. Subjects were divided into two groups according to the method of transportation: helicopter (i.e., HEMS), which included patients transported by a physician-staffed helicopter; and ambulance, which included patients transported by ground ambulance.Results: A total of 41,358 patients were enrolled in the study, including 2,029 in the helicopter group and 39,329 in the ambulance group. The ratio of males, median head Abbreviated Injury Scale and Injury Severity Scale (ISS) scores were significantly greater in the helicopter group than in the ambulance group, while the average age, median Glasgow Coma Scale, average Revised Trauma Score (RTS), and survival rate were significantly lower in the helicopter group than in the ambulance group. Of the variables that demonstrated statistical significance in the univariate analysis and classification of transportation and included in the multivariate analysis, the following were identified as significant predictors of survival outcomes: younger age, lower ISS, female sex, and greater RTS. HEMS was not a significant predictor of survival.Conclusion: The present study revealed no effect of HEMS transport on the outcomes of patients who experienced severe isolated head trauma compared with ground ambulance transportation. Further prospective studies, including an analysis of the operation time or distance traveled by the HEMS and the functional outcome(s) of patients with severe head injury transported by HEMS, are warranted.
2.Clinical significance of the level of fibrin degradation products in drowning patients without cardiac arrest
Ken-ichi MURAMATSU ; Kazuhiko OMORI ; Yoshihiro KUSHIDA ; Hiroki NAGASAWA ; Ikuto TAKEUCHI ; Kei JITSUIKI ; Jun SHITARA ; Hiromichi OHSAKA ; Yasumasa OODE ; Youichi YANAGAWA
Journal of Rural Medicine 2020;15(4):201-203
Objective: This study aimed to retrospectively investigate the clinical significance of the level of fibrin degradation products in drowning patients without cardiac arrest.Patients and Methods: All drowning patients who were transported to our department from January 2011 to December 2019 were retrospectively investigated through a medical chart review and included as subjects in the present study. The exclusion criteria were the occurrence of cardiac arrest before patient arrival to our department and lack of measurement of the fibrin degradation product level on arrival. The subjects were divided into two groups: early discharge group, which included patients who were discharged within 3 days, and late discharge group, which included patients who were discharged after 3 days.Results: The early discharge group included 10 subjects and the late discharge group included 39 subjects. No significant differences were observed in age, sex, proportion of freshwater drowning cases, proportion of alcohol drinkers, vital signs, blood gas analysis findings, proportion of lung lesions, or survival rate between the two groups. The levels of glucose and fibrin degradation products on arrival were significantly greater in the early discharge group than in the late discharge group. A multivariate analysis showed that the only significant predictor of early discharge was the fibrin degradation product level among variables identified in a univariate analysis.Conclusion: This is the first study to show that the level of fibrin degradation products on arrival can predict early or late discharge in drowning patients without cardiac arrest before arriving to the hospital.