Treatment of illicit opioid and γ-hydroxybutyrate overdose by Helsinki emergency medical services

Aims: To examine the characteristics, incidence, treatment and outcome of presumed opioid, γ-hydroxybutyrate (GHB) and γ-butyrolactone (GBL) overdoses involving users of illicit drugs in Helsinki. GHB/GBL were included in this study, despite not being opioids, due to the relative ease with which they can cause potentially fatal respiratory depression. The incidence and time interval of recurrent opioid toxicity after prehospital administration of naloxone, an opioid antagonist, was studied in presumed heroin overdose patients. Naloxone has been reported to have many adverse effects and the effects of naloxone administered during an opioid overdose on the cardiovascular system and catecholamine levels in piglets were studied. Materials and methods: Patients included in these published retrospective studies were from the following time periods: Study I: 1995-2002, II: 1997-2000, III: 1995-2000, V: 2006-2007. Presumed opioid overdose patients were examined in studies I, II and III. GHB/GBL overdoses among injecting drug users was examined in study V. Recurrent opioid toxicity after prehospital naloxone administration in heroin overdose patients was examined in study III. The effects of naloxone (80 μg/kg i.v.) on the cardiovascular system and catecholamine levels administered during morphine overdose (8mg/kg i.v.) and under propofol anesthesia with spontaneous breathing were studied in eight piglets (IV). In this thesis, previously unpublished data on the incidence of opioid overdose between 2001-2007 and comparison of the characteristics of buprenorphine and heroin overdose patients encountered in 1995-2005 are also included. Results: Helsinki Emergency Medical Service (EMS) ambulances were dispatched annually to 34,153- 45,118 calls from 1995 to 2007. Of them, 7-8% were coded as intoxications or overdoses. During this time, 436 patients were treated by the EMS for presumed opioid overdose. The peak incidence of opioid overdoses was in the year 2000 (113 cases), after which they declined to 6-26 cases annually. The annual incidence of buprenorphine related overdoses increased from 4 (4% of opioid overdoses) in the year 2000 to 8 (30% of opioid overdoses) in 2007. The annual number of GHB related overdose patients treated by Helsinki EMS increased from 21 to 73 between 2004-2007. There appeared to be a peak in the incidence of both GHB/GBL and opioid related overdoses on Saturdays. Characteristics of opioid overdose patients The median age of opioid overdose patients was 28 years (22;33, 25- and 75-percentiles), and 84% were male. Buprenorphine overdose patients had more polydrug, such as alcohol and/or benzodiazepines, use in comparison with heroin overdose patients, 70% versus 33%, respectively. Severe respiratory depression was reported less often with buprenorphine overdoses compared to heroin overdoses, in 67.0% versus 85.4%, respectively. Outcome of heroin overdose patients with cardiac arrest Ninety four patients suffered cardiac arrest due to acute drug poisoning/overdose and were thus considered for resuscitation. Resuscitation was attempted in 72 cases. Cardiac arrest was caused by heroin overdose for 19 patients of which three (16%) were discharged alive. Other agents also induced cardiac arrest in 53 patients, of which six (11%) were discharged alive. The arrest was either EMS witnessed or occurring after the emergency call for all survivors of heroin induced cardiac arrest. Characteristics of GHB/GBL overdose patients The records of 100 GHB/GBL related overdose patients from 2006-2007 were retrieved. The median age of GHB/GBL overdose patients encountered on weekend nights was 24 years (22;27, 25- and 75-percentiles) and 49% were male. Polydrug use was reported in 62-80% of the cases. Thirty nine patients were encountered on Friday-Saturday or Saturday-Sunday night between 11 pm-6 am. The remaining sixty one patients were outside this time frame. There was a statistically significant difference between these two groups in history of chronic injecting drug use (33% vs. 59%, respectively, p=0.012). Recurrent heroin toxicity after prehospital naloxone administration Study III included 145 presumed heroin overdose patients. After prehospital care, 84 patients refused further care and were not transported to an Emergency Department (ED). Seventy one (85%) of them were administered naloxone by the EMS. During a 12-h follow up period, none of these patients developed severe recurrent opioid toxicity. The remaining 61 patients were transported to an ED. Prior to transportation, 52 (85%) patients were administered naloxone by the EMS. Fifteen of them were administered naloxone also in the ED and recurrent opioid toxicity was evident either on arrival at the ED or shortly thereafter. Prehospital naloxone was administered either intravenously, intramuscularly (i.m.) or subcutaneously (s.c.). There was a tendency for more frequent recurrent heroin toxicity among the patients with only intravenous administration of prehospital naloxone (13/36) compared with the patients with intramuscular or subcutaneous prehospital naloxone (2/16), p=0.106. The effects of naloxone on the cardiovascular system and catecholamine levels in piglets The administration of morphine to piglets resulted in an obvious respiratory depression, which was reversed by naloxone. Two severely hypoxemic piglets developed cardiac arrest after naloxone administration. In the other six animals, the administration of naloxone did not provoke arrhythmias, cardiac ischemia or visible evidence of pulmonary edema. There was a statistically significant (p=0.012) increase in norepinephrine levels after morphine administration and before naloxone administration: from 1.9 (1.3-2.3) ng/ml at baseline, to 31.7 (8.3-83.0) ng/ml (median, 25 and 75 percentiles parentheses) after morphine administration. After the administration of naloxone, the catecholamine levels continued to increase in only one of the animals. Conclusions: The incidence of buprenorphine related overdoses increased during the study period, but was still lower in comparison to those involving heroin. Injecting drug users have also started to use GHB/GBL. While recreational drug users use GHB/GBL during weekend nights, a GHB/GBL overdose patient encounter during weekdays has a more probable history of injecting drug use. Patients with cardiac arrest after heroin overdose have a poor prognosis. It appears to be safe to leave heroin overdose patients on scene after prehospital treatment with naloxone. Although no statistically significant difference was observed, it seems prudent to administer part of the total naloxone dose s.c. or i.m. to reduce the risk of recurrent respiratory depression. If transported to an ED, an observation period of one to two hours after the last naloxone dose seems adequate. The treating physician must be vigilant, however, due to the high prevalence of polydrug use and high morbidity after non fatal heroin overdose. Furthermore, care should be taken regarding possible chronic disorders and drug rehabilitation should be addressed. In the experimental animal study, two animals developed cardiac arrest after receiving naloxone while in hypoxemia and bradycardia. Further studies are required to assess the effect of naloxone during opioid-induced hypercapnia and hypoxemia in animals addicted to opioids.

Social networks for volunteered geographic information - A case study of OpenStreetMap

The world of mapping has changed. Earlier, only professional experts were responsible for map production, but today ordinary people without any training or experience can become map-makers. The number of online mapping sites, and the number of volunteer mappers has increased significantly. The development of the technology, such as satellite navigation systems, Web 2.0, broadband Internet connections, and smartphones, have had one of the key roles in enabling the rise of volunteered geographic information (VGI). As opening governmental data to public is a current topic in many countries, the opening of high quality geographical data has a central role in this study. The aim of this study is to investigate how is the quality of spatial data produced by volunteers by comparing it with the map data produced by public authorities, to follow what occurs when spatial data are opened for users, and to get acquainted with the user profile of these volunteer mappers. A central part of this study is OpenStreetMap project (OSM), which aim is to create a map of the entire world by volunteers. Anyone can become an OpenStreetMap contributor, and the data created by the volunteers are free to use for anyone without restricting copyrights or license charges. In this study OpenStreetMap is investigated from two viewpoints. In the first part of the study, the aim was to investigate the quality of volunteered geographic information. A pilot project was implemented by following what occurs when a high-resolution aerial imagery is released freely to the OpenStreetMap contributors. The quality of VGI was investigated by comparing the OSM datasets with the map data of The National Land Survey of Finland (NLS). The quality of OpenStreetMap data was investigated by inspecting the positional accuracy and the completeness of the road datasets, as well as the differences in the attribute datasets between the studied datasets. Also the OSM community was under analysis and the development of the map data of OpenStreetMap was investigated by visual analysis. The aim of the second part of the study was to analyse the user profile of OpenStreetMap contributors, and to investigate how the contributors act when collecting data and editing OpenStreetMap. The aim was also to investigate what motivates users to map and how is the quality of volunteered geographic information envisaged. The second part of the study was implemented by conducting a web inquiry to the OpenStreetMap contributors. The results of the study show that the quality of OpenStreetMap data compared with the data of National Land Survey of Finland can be defined as good. OpenStreetMap differs from the map of National Land Survey especially because of the amount of uncertainty, for example because of the completeness and uniformity of the map are not known. The results of the study reveal that opening spatial data increased notably the amount of the data in the study area, and both the positional accuracy and completeness improved significantly. The study confirms the earlier arguments that only few contributors have created the majority of the data in OpenStreetMap. The inquiry made for the OpenStreetMap users revealed that the data are most often collected by foot or by bicycle using GPS device, or by editing the map with the help of aerial imageries. According to the responses, the users take part to the OpenStreetMap project because they want to make maps better, and want to produce maps, which have information that is up-to-date and cannot be found from any other maps. Almost all of the users exploit the maps by themselves, most popular methods being downloading the map into a navigator or into a mobile device. The users regard the quality of OpenStreetMap as good, especially because of the up-to-dateness and the accuracy of the map.

Professional Driving : An Emphasis on Organizational Safety Climate

According to the literature and statistical figures, professional drivers constitute a high-risk group in traffic and should be investigated in connection with the factors related to safe driving. However, safety-related behaviours and outcomes among professional drivers have attracted very little attention from safety researchers. In addition, comparing different professional and non-professional driver groups in terms of critical on-the-road characteristics and outcomes has been indicated in the literature as being necessary for a more comprehensive understanding of driver groups and the nature of driving itself. The aim of the present study was to investigate professional driving from a safety climate stand point in relation to predominant driving-related factors and by considering the differences between driver groups. Hence, four Sub-studies were conducted according to a framework emphasizing the relationships between safety climate, driver groups, driver stress, human factors (i.e., driver behaviour and performance) and accidents. Demographic information, as well as data for driver behaviour, performance, and driver stress was collected by questionnaire. The data was analysed using factor analysis, analysis of covariance as well as hierarchical and logistic regression analysis. The results revealed multi-dimensional factor structures for the safety climate measures. Considering the relationships between variables, differences were evidenced regarding on-the-road stress reactions, risky driver behaviours and penalties, between the various professional and non-professional driver groups. Driver stress was found to be related to accidents. The results also indicated that the safety climate has positive relationships with both driver behaviour and performance, and as well as involvement in accidents. The present study has a number of critical implications resulting from the fact that the way in which the effects of safety climate on professional driving were investigated, as well as the differences between professional and non-professional driver groups, was unique. Additionally, for the first time, a safety climate scale was developed specifically for professional drivers. According to the results of the study and to previous literature, a tentative model was proposed representing a possible route for the relationships between safety climate, human factors, driver stress, driver groups and accidents, by emphasizing the effects of safety climate.

Mapping Road Infrastructure in Developing Countries Applying Remote Sensing and GIS - The Case of the Taita Hills, Kenya

Road transport and infrastructure has a fundamental meaning for the developing world. Poor quality and inadequate coverage of roads, lack of maintenance operations and outdated road maps continue to hinder economic and social development in the developing countries. This thesis focuses on studying the present state of road infrastructure and its mapping in the Taita Hills, south-east Kenya. The study is included as a part of the TAITA-project by the Department of Geography, University of Helsinki. The road infrastructure of the study area is studied by remote sensing and GIS based methodology. As the principal dataset, true colour airborne digital camera data from 2004, was used to generate an aerial image mosaic of the study area. Auxiliary data includes SPOT satellite imagery from 2003, field spectrometry data of road surfaces and relevant literature. Road infrastructure characteristics are interpreted from three test sites using pixel-based supervised classification, object-oriented supervised classifications and visual interpretation. Road infrastructure of the test sites is interpreted visually from a SPOT image. Road centrelines are then extracted from the object-oriented classification results with an automatic vectorisation process. The road infrastructure of the entire image mosaic is mapped by applying the most appropriate assessed data and techniques. The spectral characteristics and reflectance of various road surfaces are considered with the acquired field spectra and relevant literature. The results are compared with the experimented road mapping methods. This study concludes that classification and extraction of roads remains a difficult task, and that the accuracy of the results is inadequate regardless of the high spatial resolution of the image mosaic used in this thesis. Visual interpretation, out of all the experimented methods in this thesis is the most straightforward, accurate and valid technique for road mapping. Certain road surfaces have similar spectral characteristics and reflectance values with other land cover and land use. This has a great influence for digital analysis techniques in particular. Road mapping is made even more complicated by rich vegetation and tree canopy, clouds, shadows, low contrast between roads and surroundings and the width of narrow roads in relation to the spatial resolution of the imagery used. The results of this thesis may be applied to road infrastructure mapping in developing countries on a more general context, although with certain limits. In particular, unclassified rural roads require updated road mapping schemas to intensify road transport possibilities and to assist in the development of the developing world.