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Wang X, Du J, Jiang C, Zhang YY, Tian F, Chen Z, Zhang Y, Zhang Y, Yan L, Hao D. Epidemiological characteristics of traumatic spinal cord injuries in a multicenter retrospective study in northwest China, 2017-2020. Front Surg 2022; 9:994536. [PMID: 36299569 PMCID: PMC9589158 DOI: 10.3389/fsurg.2022.994536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 09/12/2022] [Indexed: 11/05/2022] Open
Abstract
Background Traumatic spinal cord injuries (TSCIs) are worldwide public health problems that are difficult to cure and impose a substantial economic burden on society. There has been a lack of extensive multicenter review of TSCI epidemiology in northwest China during the Corona Virus Disease 2019 (COVID-19) pandemic. Method A multicenter retrospective study of 14 selected hospitals in two provinces in northwest China was conducted on patients admitted for TSCI between 2017 and 2020. Variables assessed included patient demographics, etiology, segmental distribution, treatment, waiting time for treatment, and outcomes. Results The number of patients with TSCI showed an increasing trend from 2017 to 2019, while there were 12.8% fewer patients in 2020 than in 2019. The male-to-female ratio was 3.67:1, and the mean age was 48 ± 14.9 years. The primary cause of TSCI was high falls (38.8%), slip falls/low falls (27.7%), traffic accidents (23.9%), sports (2.6%), and other factors (7.0%). The segmental distribution showed a bimodal pattern, peak segments were C6 and L1 vertebra, L1 (14.7%), T12 (8.2%), and C6 (8.2%) were the most frequently injured segments. In terms of severity, incomplete injury (72.8%) occurred more often than complete injury (27.2%). The American Spinal Injury Association impairment scale of most patients did not convert before and after treatment in the operational group (71.6%) or the conservative group (80.6%). A total of 975 patients (37.2%) from urban and 1,646 patients (62.8%) from rural areas were included; almost all urban residents could rush to get treatment after being injured immediately (<1 h), whereas most rural patients get the treatment needed 4-7 h after injury. The rough annual incidence from 2017 to 2020 is 112.4, 143.4, 152.2, and 132.6 per million people, calculated by the coverage rate of the population of the sampling hospital. Conclusion The incidence of TSCI in northwest China is high and on the rise. However, due to pandemic policy reasons, the incidence of urban residents decreased in 2020. The promotion of online work may be an effective primary prevention measure for traumatic diseases. Also, because of the further distance from the good conditional hospital, rural patients need to spend more time there, and the timely treatment of patients from remote areas should be paid attention to.
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Affiliation(s)
- Xiaohui Wang
- Department of Spinal Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi'an, China,Department of Orthopaedic, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China
| | - Jinpeng Du
- Department of Spinal Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi'an, China
| | - Chao Jiang
- Department of Spinal Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi'an, China
| | - Yong-yuan Zhang
- Department of Spinal Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi'an, China
| | - Fang Tian
- Department of Spinal Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi'an, China,Department of Orthopaedic, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China
| | - Zhe Chen
- Department of Spinal Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi'an, China,Department of Orthopaedic, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China
| | - Yuyang Zhang
- Department of Spinal Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi'an, China,Department of Orthopaedic, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China
| | - Ying Zhang
- Orthopaedic Third Ward, Yulin No. 2 Hospital, Yulin, China
| | - Liang Yan
- Department of Spinal Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi'an, China
| | - Dingjun Hao
- Department of Spinal Surgery, Honghui Hospital, Xi’an Jiaotong University, Xi'an, China,Department of Orthopaedic, The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China,Correspondence: Ding-jun Hao
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2
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Tommila M, Pappinen J, Raatiniemi L, Saviluoto A, Toivonen T, Björkman J, Nurmi J. Standardised data collection in prehospital critical care: a comparison of medical problem categories and discharge diagnoses. Scand J Trauma Resusc Emerg Med 2022; 30:26. [PMID: 35413859 PMCID: PMC9006464 DOI: 10.1186/s13049-022-01013-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/31/2022] [Indexed: 11/23/2022] Open
Abstract
Background Prehospital medical problem reporting is essential in the management of helicopter emergency medical services (HEMS) operations. The consensus-based template for reporting and documenting in physician-staffed prehospital services exists and the classification of medical problems presented in the template is widely used in research and quality improvement. However, validation of the reported prehospital medical problem is lacking. This study aimed to describe the in-hospital diagnoses, patient characteristics and medical interventions in different categories of medical problems. Methods This retrospective, observational registry study examined the 10 most common in-hospital International Statistical Classification of Disease (ICD-10) diagnoseswithin different prehospital medical problem categories, defined by the HEMS physician/paramedic immediately after the mission was completed. Data were gathered from a national HEMS quality registry and a national hospital discharge registry. Patient characteristics and medical interventions related to different medical problem categories are also described. Results A total of 33,844 patients were included in the analyses. All the medical problem categories included a broad spectrum of ICD-10 diagnoses (the number of diagnosis classes per medical problem category ranged from 73 to 403). The most frequent diagnoses were mainly consistent with the reported medical problems. Overlapping of ICD-10 diagnoses was mostly seen in two medical problem categories: stroke and acute neurology excluding stroke. Additionally, typical patient characteristics and disturbances in vital signs were related to adequate medical problem categories. Conclusions Medical problems reported by HEMS personnel have adequate correspondence to hospital discharge diagnoses. However, the classification of cerebrovascular accidents remains challenging.
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Affiliation(s)
- Miretta Tommila
- Department of Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital and University of Turku, Turku, Finland
| | | | - Lasse Raatiniemi
- Centre for Prehospital Emergency Care, Oulu, Finland.,Research Group of Surgery, Anaesthesiology and Intensive Care, Division of Anesthesiology Oulu University Hospital, Medical Research Centre, University of Oulu, Oulu, Finland
| | - Anssi Saviluoto
- FinnHEMS Ltd, HEMS Operations, Vantaa, Finland.,University of Eastern Finland, Kuopio, Finland
| | | | - Johannes Björkman
- FinnHEMS Ltd, HEMS Operations, Vantaa, Finland.,Emergency Medicine and Services, Helsinki University Hospital and University of Helsinki, FinnHEMS 10, Vesikuja 9, 01530, Vantaa, Finland
| | - Jouni Nurmi
- FinnHEMS Ltd, HEMS Operations, Vantaa, Finland. .,Emergency Medicine and Services, Helsinki University Hospital and University of Helsinki, FinnHEMS 10, Vesikuja 9, 01530, Vantaa, Finland.
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Pedersen HB, Pedersen BB, Biilmann M, Møller M, Lohse N, Vedsted P, Mikkelsen S. Medical evacuations in Greenland in 2018: a descriptive study. Int J Circumpolar Health 2021; 81:2014634. [PMID: 34939902 PMCID: PMC8725698 DOI: 10.1080/22423982.2021.2014634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
Information regarding medical evacuations in Greenland is sparse. This study provides an overview of incidence, costs, and diagnoses leading to medical evacuations in Greenland in 2018. This is a retrospective, observational study. Patients with a valid Danish civil personal registration number were included. Data were obtained by scrutinising the itinerary of the Greenland travel coordination office and the medical records. 481 patients were identified. Forty-nine patients were excluded. 432 patients were analysed. Two-thirds of the evacuations were carried out within Greenland. The overall incidence of evacuations was 7.7 evacuations per 1,000 inhabitants per year. This differed, however, between the five different health regions. The cost of a medical evacuation ranged from less than 4,800 US dollars to more than 50,000 US dollars per case. Pregnancy and childbirth accounted for the majority of evacuations in women (31.2%) while diseases within the circulatory system and digestive tract accounted for the majority of evacuations in men (39.8%). The costs of medical evacuations may be reduced when combining evacuations of more than one patient. This indicates that combining evacuations of multiple patients from one health region by applying mandatory use of a central coordinating service may be beneficial.
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Affiliation(s)
- Helena Breum Pedersen
- The Prehospital Research Unit, Region of Southern Denmark, Odense University Hospital, Odense, Denmark.,Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Bastian Breum Pedersen
- The Prehospital Research Unit, Region of Southern Denmark, Odense University Hospital, Odense, Denmark
| | - Mark Biilmann
- The Prehospital Research Unit, Region of Southern Denmark, Odense University Hospital, Odense, Denmark
| | - Malik Møller
- Department of Emergency Medicine, Holbæk Hospital, Holbæk, Denmark
| | - Nicolai Lohse
- Department of Clinical Medicine, Copenhagen University, Copenhagen, Denmark.,Department of Emergency Medicine, Copenhagen University Hospital Nordsjælland, Hillerød, Denmark
| | - Peter Vedsted
- Ilulissat Hospital, Ilulissat, Greenland.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Søren Mikkelsen
- The Prehospital Research Unit, Region of Southern Denmark, Odense University Hospital, Odense, Denmark.,Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
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Hoshiyama E, Noguchi T, Wake K, Zaitsu M, Hishinuma H, Sunaga J, Haruyama Y, Takahashi K, Kobashi G, Ono K. Characteristics of Emergency Neurological Patients Who Were Transported by Helicopter Emergency Medical Services in Tochigi, Japan. TOHOKU J EXP MED 2021; 255:79-89. [PMID: 34588376 DOI: 10.1620/tjem.255.79] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
In Japan, reports on the association of individual characteristics, and geographical distance and time with clinical outcomes for neurological emergencies involving helicopter emergency medical services (HEMS) are scarce. Using Tochigi HEMS data (2010-2018), we assessed the characteristics of 1,170 emergency neurological patients (e.g., stroke, neurotrauma, and seizure) at the base hospital, which covered 58% of all HEMS patients in the prefecture. After initial treatment in the emergency room, emergency physicians confirmed the clinical outcomes of each patient compared to those at the incident sites (recovery/non-recovery). We calculated the geographic distance from the base hospital to each incident site, and estimated and adjusted odds ratios (aOR) and 95% confidence intervals (CI) for non-recovery against distance. The mean distance between the incident site and base hospital was 22.0 ± 11.7 km, and 77.4% of patients recovered following initial treatment. Two peak age groups were observed among emergency neurological diseases, including seizures in patients who were aged < 5 years and stroke and neurotrauma in patients who were aged 70-80 years. The percentages of stroke, traumatic head and brain injury, and seizure were 35.8%, 29.2%, and 22.8%, respectively. The incidence of stroke (aOR = 11.8, 95% CI 6.86-20.3) and neurotrauma (aOR = 4.86, 95% CI 2.78-8.51) independently predicted a poor prognosis. However, no significant association was observed with the distance from the base hospital. Therefore, in the Tochigi prefecture, geographical disparities may not affect the short-term prognosis of patients with neurological emergencies who were transported by HEMS.
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Affiliation(s)
- Eisei Hoshiyama
- Department of Emergency and Critical Care Medicine, Dokkyo Medical University School of Medicine
| | - Takafumi Noguchi
- Department of Public Health, Dokkyo Medical University School of Medicine.,Department of Adult Nursing, Dokkyo Medical University School of Nursing
| | - Koji Wake
- Department of Emergency and Critical Care Medicine, Dokkyo Medical University School of Medicine
| | - Masayoshi Zaitsu
- Department of Public Health, Dokkyo Medical University School of Medicine
| | - Hidekazu Hishinuma
- Department of Public Health, Dokkyo Medical University School of Medicine.,Department of Adult Nursing, Dokkyo Medical University School of Nursing
| | - Junri Sunaga
- Department of Emergency and Critical Care Medicine, Dokkyo Medical University School of Medicine.,Department of Public Health, Dokkyo Medical University School of Medicine
| | - Yasuo Haruyama
- Integrated Research Faculty for Advanced Medical Sciences, Dokkyo Medical University School of Medicine
| | - Kyo Takahashi
- Department of Public Health, Dokkyo Medical University School of Medicine
| | - Gen Kobashi
- Department of Public Health, Dokkyo Medical University School of Medicine
| | - Kazuyuki Ono
- Department of Emergency and Critical Care Medicine, Dokkyo Medical University School of Medicine
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Genowska A, Jamiołkowski J, Szafraniec K, Fryc J, Pająk A. Health Care Resources and 24,910 Deaths Due to Traffic Accidents: An Ecological Mortality Study in Poland. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18115561. [PMID: 34067502 PMCID: PMC8197000 DOI: 10.3390/ijerph18115561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 05/19/2021] [Accepted: 05/20/2021] [Indexed: 11/16/2022]
Abstract
Background: Deaths due to traffic accidents are preventable and the access to health care is an important determinant of traffic accident case fatality. This study aimed to assess the relation between mortality due to traffic accidents and health care resources (HCR), at the population level, in 66 sub-regions of Poland. Methods: An area-based HCR index was delivered from the rates of physicians, nurses, and hospital beds. Associations between mortality from traffic accidents and the HCR index were tested using multivariate Poisson regression models. Results: In the sub-regions studied, the average mortality from traffic accidents was 11.7 in 2010 and 9.3/100.000 in 2015. After adjusting for sex, age and over time trends in mortality, out-of-hospital deaths were more frequently compared to hospitalized fatal cases (incidence rate ratio (IRR) = 1.68, 95% CI 1.45–1.93). Compared to sub-regions with high HCR, mortality from traffic accidents was higher in sub-regions with low and moderate HCR (IRR = 1.25, 95% CI 1.11–1.42 and IRR = 1.19, 95% CI 1.02–1.38, respectively), which reflected the differences in out-of-hospital mortality most pronounced in car accidents. Conclusions: Poor HCR is an important factor that explains the territorial differentiation of mortality due to traffic accidents in Poland. The high percentage of out-of-hospital deaths indicates the importance of preventive measures and the need for improvement in access to health care to reduce mortality due to traffic accidents.
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Affiliation(s)
- Agnieszka Genowska
- Department of Public Health, Medical University of Bialystok, 15-295 Bialystok, Poland
- Correspondence: (A.G.); (J.F.)
| | - Jacek Jamiołkowski
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, 15-269 Bialystok, Poland;
| | - Krystyna Szafraniec
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, 31-066 Krakow, Poland; (K.S.); (A.P.)
| | - Justyna Fryc
- Faculty of Medicine, Medical University of Bialystok, 15-540 Bialystok, Poland
- Correspondence: (A.G.); (J.F.)
| | - Andrzej Pająk
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, 31-066 Krakow, Poland; (K.S.); (A.P.)
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Saviluoto A, Jäntti H, Holm A, Nurmi JO. Does experience in prehospital post-resuscitation critical care affect outcomes? A retrospective cohort study. Resuscitation 2021; 163:155-161. [PMID: 33811958 DOI: 10.1016/j.resuscitation.2021.03.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 02/20/2021] [Accepted: 03/21/2021] [Indexed: 12/12/2022]
Abstract
AIMS OF THE STUDY Helicopter Emergency Medical Services (HEMS) often provide post-resuscitation care. Our aims were to investigate whether physicians' frequent exposure to prehospital post-resuscitation care is associated with differences in (1) medical management, (2) achieving treatment targets recommended by resuscitation guidelines, (3) survival. METHODS We conducted a retrospective cohort study using data from a national HEMS quality register. We included patients between January 1st, 2012 and September 9th, 2019 who received post-resuscitation care by a HEMS physician. We excluded patients <16 years old. For each patient we determined the number of post-resuscitation cases the physician had attended in the previous 12 months. Patients were divided in to three groups: low (0-5), intermediate (6-11) and high exposure (≥12 cases). Medical management and proportions within treatment targets were compared. Survival at 30-days and 1-year was analysed by multivariate logistic regression analysis, controlling for known prognostic factors. RESULTS 2272 patients were analysed. Patients in the high exposure group had mechanical ventilation and vasoactive medications initiated more often (P < 0.001 and P = 0.008, respectively) and on-scene times were longer (P < 0.001). The target for blood pressure was achieved more often in this group (P = 0.026), but targets for oxygenation and ventilation were not. We did not see an association between survival and physicians' exposure to post-resuscitation care (odds ratio 0.96, 95% confidence interval 0.70-1.33 for low and 0.78, 0.56-1.08 for intermediate, compared to high exposure). CONCLUSIONS Physicians with more, frequent exposure take a more active approach to post-resuscitation care, but this does not seem to improve survival.
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Affiliation(s)
- Anssi Saviluoto
- Research and Development Unit, FinnHEMS, WTC Helsinki Airport, Lentäjäntie 3, FI-01530 Vantaa, Finland; University of Eastern Finland, Kuopio, Finland
| | - Helena Jäntti
- Kuopio University Hospital, Center for Prehospital Emergency Care, P.O. Box 100, FI-70029 Kuopio, Finland
| | - Aki Holm
- Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jouni O Nurmi
- Research and Development Unit, FinnHEMS, WTC Helsinki Airport, Lentäjäntie 3, FI-01530 Vantaa, Finland; Emergency Medicine and Services, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
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7
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Saviluoto A, Björkman J, Olkinuora A, Virkkunen I, Kirves H, Setälä P, Pulkkinen I, Laukkanen-Nevala P, Raatiniemi L, Jäntti H, Iirola T, Nurmi J. The first seven years of nationally organized helicopter emergency medical services in Finland - the data from quality registry. Scand J Trauma Resusc Emerg Med 2020; 28:46. [PMID: 32471467 PMCID: PMC7260827 DOI: 10.1186/s13049-020-00739-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 05/20/2020] [Indexed: 12/28/2022] Open
Abstract
Background Helicopter Emergency Medical Services (HEMS) play an important role in prehospital care of the critically ill. Differences in funding, crew composition, dispatch criteria and mission profile make comparison between systems challenging. Several systems incorporate databases for quality control, performance evaluation and scientific purposes. FinnHEMS database was incorporated for such purposes following the national organization of HEMS in Finland 2012. The aims of this study are to describe information recorded in the database, data collection, and operational characteristics of Finnish HEMS during 2012–2018. Methods All dispatches of the six Finnish HEMS units recorded in the national database from 2012 to 2018 were included in this observational registry study. Five of the units are physician staffed, and all are on call 24/7. The database follows a template for uniform reporting in physician staffed pre-hospital services, exceeding the recommended variables of relevant guidelines. Results The study included 100,482 dispatches, resulting in 33,844 (34%) patient contacts. Variables were recorded with little or no missing data. A total of 16,045 patients (16%) were escorted by HEMS to hospital, of which 2239 (2%) by helicopter. Of encountered patients 4195 (4%) were declared deceased on scene. The number of denied or cancelled dispatches was 66,638 (66%). The majority of patients were male (21,185, 63%), and the median age was 57.7 years. The median American Society of Anesthesiologists Physical Scale classification was 2 and Eastern Cooperative Oncology Group performance class 0. The most common reason for response was trauma representing 26% (8897) of the patients, followed by out-of-hospital cardiac arrest 20% (6900), acute neurological reason excluding stroke 13% (4366) and intoxication and related psychiatric conditions 10% (3318). Blunt trauma (86%, 7653) predominated in the trauma classification. Conclusions Gathering detailed and comprehensive data nationally on all HEMS missions is feasible. A national database provides valuable insights into where the operation of HEMS could be improved. We observed a high number of cancelled or denied missions and a low percentage of patients transported by helicopter. The medical problem of encountered patients also differs from comparable systems.
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Affiliation(s)
- Anssi Saviluoto
- Research and Development Unit, FinnHEMS, WTC Helsinki Airport, Lentäjäntie 3, FI-01530, Vantaa, Finland. .,University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland.
| | - Johannes Björkman
- Research and Development Unit, FinnHEMS, WTC Helsinki Airport, Lentäjäntie 3, FI-01530, Vantaa, Finland.,University of Helsinki, PO Box 4, FI-00014, Helsinki, Finland
| | - Anna Olkinuora
- Research and Development Unit, FinnHEMS, WTC Helsinki Airport, Lentäjäntie 3, FI-01530, Vantaa, Finland
| | - Ilkka Virkkunen
- Research and Development Unit, FinnHEMS, WTC Helsinki Airport, Lentäjäntie 3, FI-01530, Vantaa, Finland
| | - Hetti Kirves
- Prehospital Emergency Care, Hyvinkää hospital area, Hospital District of Helsinki and Uusimaa, PO Box 585, FI-05850, Hyvinkää, Finland
| | - Piritta Setälä
- Emergency Medical Services, Tampere University Hospital, PO Box 2000, FI-33521, Tampere, Finland
| | - Ilkka Pulkkinen
- Research and Development Unit, FinnHEMS, WTC Helsinki Airport, Lentäjäntie 3, FI-01530, Vantaa, Finland
| | - Päivi Laukkanen-Nevala
- Research and Development Unit, FinnHEMS, WTC Helsinki Airport, Lentäjäntie 3, FI-01530, Vantaa, Finland
| | - Lasse Raatiniemi
- Centre for Prehospital Emergency Care, Oulu University Hospital, PO Box 50, FI-90029, Oulu, Finland
| | - Helena Jäntti
- University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland.,Center for Prehospital Emergency Care, Kuopio University Hospital, PO Box 100, FI-70029, Kuopio, Finland
| | - Timo Iirola
- Emergency Medical Services, Turku University Hospital and University of Turku, PO Box 52, FI-20521, Turku, Finland
| | - Jouni Nurmi
- Research and Development Unit, FinnHEMS, WTC Helsinki Airport, Lentäjäntie 3, FI-01530, Vantaa, Finland.,Emergency Medicine and Services, Helsinki University Hospital and Emergency Medicine, University of Helsinki, PO Box 100, FI-00029, Helsinki, Finland
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