Machine learning for geospatial data : algorithms, software tools and case studies

Résumé Cette thèse est consacrée à l'analyse, la modélisation et la visualisation de données environnementales à référence spatiale à l'aide d'algorithmes d'apprentissage automatique (Machine Learning). L'apprentissage automatique peut être considéré au sens large comme une sous-catégorie de l'intelligence artificielle qui concerne particulièrement le développement de techniques et d'algorithmes permettant à une machine d'apprendre à partir de données. Dans cette thèse, les algorithmes d'apprentissage automatique sont adaptés pour être appliqués à des données environnementales et à la prédiction spatiale. Pourquoi l'apprentissage automatique ? Parce que la majorité des algorithmes d'apprentissage automatiques sont universels, adaptatifs, non-linéaires, robustes et efficaces pour la modélisation. Ils peuvent résoudre des problèmes de classification, de régression et de modélisation de densité de probabilités dans des espaces à haute dimension, composés de variables informatives spatialisées (« géo-features ») en plus des coordonnées géographiques. De plus, ils sont idéaux pour être implémentés en tant qu'outils d'aide à la décision pour des questions environnementales allant de la reconnaissance de pattern à la modélisation et la prédiction en passant par la cartographie automatique. Leur efficacité est comparable au modèles géostatistiques dans l'espace des coordonnées géographiques, mais ils sont indispensables pour des données à hautes dimensions incluant des géo-features. Les algorithmes d'apprentissage automatique les plus importants et les plus populaires sont présentés théoriquement et implémentés sous forme de logiciels pour les sciences environnementales. Les principaux algorithmes décrits sont le Perceptron multicouches (MultiLayer Perceptron, MLP) - l'algorithme le plus connu dans l'intelligence artificielle, le réseau de neurones de régression généralisée (General Regression Neural Networks, GRNN), le réseau de neurones probabiliste (Probabilistic Neural Networks, PNN), les cartes auto-organisées (SelfOrganized Maps, SOM), les modèles à mixture Gaussiennes (Gaussian Mixture Models, GMM), les réseaux à fonctions de base radiales (Radial Basis Functions Networks, RBF) et les réseaux à mixture de densité (Mixture Density Networks, MDN). Cette gamme d'algorithmes permet de couvrir des tâches variées telle que la classification, la régression ou l'estimation de densité de probabilité. L'analyse exploratoire des données (Exploratory Data Analysis, EDA) est le premier pas de toute analyse de données. Dans cette thèse les concepts d'analyse exploratoire de données spatiales (Exploratory Spatial Data Analysis, ESDA) sont traités selon l'approche traditionnelle de la géostatistique avec la variographie expérimentale et selon les principes de l'apprentissage automatique. La variographie expérimentale, qui étudie les relations entre pairs de points, est un outil de base pour l'analyse géostatistique de corrélations spatiales anisotropiques qui permet de détecter la présence de patterns spatiaux descriptible par une statistique. L'approche de l'apprentissage automatique pour l'ESDA est présentée à travers l'application de la méthode des k plus proches voisins qui est très simple et possède d'excellentes qualités d'interprétation et de visualisation. Une part importante de la thèse traite de sujets d'actualité comme la cartographie automatique de données spatiales. Le réseau de neurones de régression généralisée est proposé pour résoudre cette tâche efficacement. Les performances du GRNN sont démontrées par des données de Comparaison d'Interpolation Spatiale (SIC) de 2004 pour lesquelles le GRNN bat significativement toutes les autres méthodes, particulièrement lors de situations d'urgence. La thèse est composée de quatre chapitres : théorie, applications, outils logiciels et des exemples guidés. Une partie importante du travail consiste en une collection de logiciels : Machine Learning Office. Cette collection de logiciels a été développée durant les 15 dernières années et a été utilisée pour l'enseignement de nombreux cours, dont des workshops internationaux en Chine, France, Italie, Irlande et Suisse ainsi que dans des projets de recherche fondamentaux et appliqués. Les cas d'études considérés couvrent un vaste spectre de problèmes géoenvironnementaux réels à basse et haute dimensionnalité, tels que la pollution de l'air, du sol et de l'eau par des produits radioactifs et des métaux lourds, la classification de types de sols et d'unités hydrogéologiques, la cartographie des incertitudes pour l'aide à la décision et l'estimation de risques naturels (glissements de terrain, avalanches). Des outils complémentaires pour l'analyse exploratoire des données et la visualisation ont également été développés en prenant soin de créer une interface conviviale et facile à l'utilisation. Machine Learning for geospatial data: algorithms, software tools and case studies Abstract The thesis is devoted to the analysis, modeling and visualisation of spatial environmental data using machine learning algorithms. In a broad sense machine learning can be considered as a subfield of artificial intelligence. It mainly concerns with the development of techniques and algorithms that allow computers to learn from data. In this thesis machine learning algorithms are adapted to learn from spatial environmental data and to make spatial predictions. Why machine learning? In few words most of machine learning algorithms are universal, adaptive, nonlinear, robust and efficient modeling tools. They can find solutions for the classification, regression, and probability density modeling problems in high-dimensional geo-feature spaces, composed of geographical space and additional relevant spatially referenced features. They are well-suited to be implemented as predictive engines in decision support systems, for the purposes of environmental data mining including pattern recognition, modeling and predictions as well as automatic data mapping. They have competitive efficiency to the geostatistical models in low dimensional geographical spaces but are indispensable in high-dimensional geo-feature spaces. The most important and popular machine learning algorithms and models interesting for geo- and environmental sciences are presented in details: from theoretical description of the concepts to the software implementation. The main algorithms and models considered are the following: multi-layer perceptron (a workhorse of machine learning), general regression neural networks, probabilistic neural networks, self-organising (Kohonen) maps, Gaussian mixture models, radial basis functions networks, mixture density networks. This set of models covers machine learning tasks such as classification, regression, and density estimation. Exploratory data analysis (EDA) is initial and very important part of data analysis. In this thesis the concepts of exploratory spatial data analysis (ESDA) is considered using both traditional geostatistical approach such as_experimental variography and machine learning. Experimental variography is a basic tool for geostatistical analysis of anisotropic spatial correlations which helps to understand the presence of spatial patterns, at least described by two-point statistics. A machine learning approach for ESDA is presented by applying the k-nearest neighbors (k-NN) method which is simple and has very good interpretation and visualization properties. Important part of the thesis deals with a hot topic of nowadays, namely, an automatic mapping of geospatial data. General regression neural networks (GRNN) is proposed as efficient model to solve this task. Performance of the GRNN model is demonstrated on Spatial Interpolation Comparison (SIC) 2004 data where GRNN model significantly outperformed all other approaches, especially in case of emergency conditions. The thesis consists of four chapters and has the following structure: theory, applications, software tools, and how-to-do-it examples. An important part of the work is a collection of software tools - Machine Learning Office. Machine Learning Office tools were developed during last 15 years and was used both for many teaching courses, including international workshops in China, France, Italy, Ireland, Switzerland and for realizing fundamental and applied research projects. Case studies considered cover wide spectrum of the real-life low and high-dimensional geo- and environmental problems, such as air, soil and water pollution by radionuclides and heavy metals, soil types and hydro-geological units classification, decision-oriented mapping with uncertainties, natural hazards (landslides, avalanches) assessments and susceptibility mapping. Complementary tools useful for the exploratory data analysis and visualisation were developed as well. The software is user friendly and easy to use.

Effect of a national primary care pay for performance scheme on emergency hospital admissions for ambulatory care sensitive conditions: controlled longitudinal study.

OBJECTIVE: To estimate the impact of a national primary care pay for performance scheme, the Quality and Outcomes Framework in England, on emergency hospital admissions for ambulatory care sensitive conditions (ACSCs). DESIGN: Controlled longitudinal study. SETTING: English National Health Service between 1998/99 and 2010/11. PARTICIPANTS: Populations registered with each of 6975 family practices in England. MAIN OUTCOME MEASURES: Year specific differences between trend adjusted emergency hospital admission rates for incentivised ACSCs before and after the introduction of the Quality and Outcomes Framework scheme and two comparators: non-incentivised ACSCs and non-ACSCs. RESULTS: Incentivised ACSC admissions showed a relative reduction of 2.7% (95% confidence interval 1.6% to 3.8%) in the first year of the Quality and Outcomes Framework compared with ACSCs that were not incentivised. This increased to a relative reduction of 8.0% (6.9% to 9.1%) in 2010/11. Compared with conditions that are not regarded as being influenced by the quality of ambulatory care (non-ACSCs), incentivised ACSCs also showed a relative reduction in rates of emergency admissions of 2.8% (2.0% to 3.6%) in the first year increasing to 10.9% (10.1% to 11.7%) by 2010/11. CONCLUSIONS: The introduction of a major national pay for performance scheme for primary care in England was associated with a decrease in emergency admissions for incentivised conditions compared with conditions that were not incentivised. Contemporaneous health service changes seem unlikely to have caused the sharp change in the trajectory of incentivised ACSC admissions immediately after the introduction of the Quality and Outcomes Framework. The decrease seems larger than would be expected from the changes in the process measures that were incentivised, suggesting that the pay for performance scheme may have had impacts on quality of care beyond the directly incentivised activities.

Emergency department visits for non-life-threatening conditions : evolution over 13 years in a Swiss urban teaching hospital

INTRODUCTION: A large proportion of visits to our Emergency Department (ED) are for non-life-threatening conditions. We investigated whether patients' characteristics and reasons for consultation had changed over 13 years. METHODS: Consecutive adult patients with non-life-threatening conditions at triage were included in the spring of 2000 and in the summer of 2013. In both years patients completed a similar questionnaire, which addressed their reasons for consultation and any previous consultation with a general practitioner (GP). RESULTS: We included 581 patients in 2013 vs 516 in 2000, with a mean age of 44.5 years vs 46.4 years (p=0.128). Of these patients, 54.0% vs 57.0% were male (p=0.329), 55.5% vs 58.7% were Swiss (p=0.282), 76.4% were registered with a GP in both periods, but self-referral increased from 52.0% to 68.8% (p<0.001); 57.7% vs., 58.3% consulted during out-of- hours (p=0.821). Trauma-related visits decreased from 34.2% to 23.7% (p<0.001). Consultations within 12 hours of onset of symptoms dropped from 54.5% to 30.9%, and delays of ≥1 week increased from 14.3% to 26.9% (p<0.001). The primary motive for self-referral remained unawareness of an alternative, followed in 2013 by dissatisfaction with the GP's treatment or appointment. Patients who believed that their health problem would not require hospitalisation increased from 52.8% to 74.2% and those who were actually hospitalised decreased from 24.9% to 13.9% (all p<0.001). CONCLUSION: The number of visits for non-life-threatening consultations continue to increase. Our ED is used by a large proportion of patients as a convenient alternative source of primary care.

Engorgement des centres d'urgences: une raison légitime de refuser l'accès aux patients non urgents [Emergency department overcrowding: a legitimate reason to refuse access to urgent care for non-urgent patients?].

Non-urgent cases represent 30-40% of all ED consults; they contribute to overcrowding of emergency departments (ED), which could be reduced if they were denied emergency care. However, no triage instrument has demonstrated a high enough degree of accuracy to safely rule out serious medical conditions: patients suffering from life-threatening emergencies have been inappropriately denied care. Insurance companies have instituted financial penalties to discourage the use of ED as a source of non-urgent care, but this practice mainly restricts access for the underprivileged. More recent data suggest that in fact most patients consult for appropriate urgent reasons, or have no alternate access to urgent care. The safe reduction of overcrowding requires a reform of the healthcare system based on patients' needs rather than access barriers.

Médecine d'urgence [Emergency medicine: update 2009].

Emergency medicine is a cross-discipline characterized by its ability to identify critical threats, as well as its ability to prioritize investigations and identify appropriate treatments. Recent publications have been published on upper gastrointestinal haemorrhage, elbow fracture or brain haemorrhage, to optimize and standardize the investigations. In parallel, conditions such as cardiopulmonary arrest, spontaneous pneumothorax or stroke, benefit from recent therapeutic advances. However, emergency physicians and primary care physicians must remain critical of the numerous medical publications, as evidenced by the contradictory results concerning the interaction between proton pump inhibitors and clopidogrel.

Taking care of the most vulnerable : a descriptive study of patients with 12 attendances or more at a Swiss university hospital emergency department in 2009

Introduction: Patients who repeatedly attend the Emergency Department (ED) often have a distinct and complex vulnerability profile that includes poor somatic, psychological, and social indicators. This profile has an impact on the patients' well-being as well as on hospital costs. The objective of the study was to specify the characteristics of hyper users (HU) and explore the connection with ED care and hospital costs. Methods: The study sample comprised all adult patients with 12 or more attendances at the ED of the Lausanne University Hospital in 2009. The data were collected by retrospectively searching internal databases to identify the patients concerned and then analysing the profiles of these patients. Information gathered included demographic, somatic, psychological, at-risk behaviour, and social indicators, and health system consumption including costs. Results: In 2009, 23 patients (0.1%) attended 12 times or more (425 attendances, 0.8%). The average age was about 43 years, 60.9% were female, and 47.8% single. Of these 95.7% had basic insurance, 87.0% had a general practitioner, and 30.4% were under legal guardianship. The majority attended in the evening or at night (67.1%), and almost one quarter of these attendances resulted in inpatient treatment (24.0%). Most HU had attended the ED in previous years too (95.7% in 2008). The most prevalent diagnoses concerned 'mental disorders' (87.0%). About 30.4% of patients had attempted suicide (all were female patients). Other frequent diagnoses concerned 'trauma' (65.2%), and the 'digestive' and the 'nervous system' (each 56.5%). At-risk behaviour such as severe alcohol consumption (34.8%), or excessive use of medicines (26.1%) was very frequent, and some patients used illicit drugs (21.7%). There was only a weak association between the number of ED attendances and the resulting costs. However, a reduction of one outpatient visit per patient would have decreased ED outpatient costs by 8.5%. Conclusions: HU often have a particularly vulnerable profile. Mental problems are prevalent among them, as are at-risk behaviour and severe somatic conditions. The complexity of the patients' profiles demands specific care that cannot be guaranteed within an everyday ED routine. The use of an interdisciplinary case management team might be a promising approach in diminishing the number of attendances and the associated costs, although the profiles of HU are such that they probably cannot completely give up ED attendance.

Emergency Department use by patients aged 85 years and over, between 2005 and 2010 in a Swiss university hospital

Introduction: Population ageing challenges Emergency Departments (ED) with a population shift toward higher age groups. People over 65 years are heterogenous with respect to polymorbidity and functional capacity. Complex situations become more prevalent among patients aged 85+, the fastest growing segment of the elderly population (+72% between 2010 and 2030). Objectives: To identify the trend of ED admission rates for patients aged 85+ and to compare the characteristics of their ED visits with the one of patients aged 65-84. Method: Retrospective analysis of 56162 ED admissions of patients aged 65+ at the University of Lausanne Medical Center (CHUV), from 2005 to 2010. All visits of patients aged 65+ at the time of admission were considered. Analyses focus on demographic characteristics, living arrangement, hospital admission, and median Length of Stay (LOS) in the ED. Data from 2010 were examined for the degree of emergency (DE), the main reason for visiting the ED (Swiss triage scale) and readmission at 30 days. Results: Between 2005 and 2010, ED visits of patients aged 65 years and over increased from 8228 to 10390/year (with a slight decrease of women from 56% to 54%). This is an increment of +26% i.e. 5.9 patients/day more. Patients aged 85+ increased by +46% vs +20% for the 65-84. ED visits of people aged 18-64 years raised by +20%. Among patients over 65 years, the proportion of patients aged 85 and more increased from 23% in 2005 to 27% in 2010. In 2010, 85+ patients were more likely than 65-84 patients to come from a NH setting (13% vs 4%), to be hospitalised (70% vs 59%) and to stay longer in the ED (median LOS 9 hours vs 7 hours). Readmission to ED within 30 days after discharge did not differ (85+: 14% vs 65-84: 12%) (similar proportions in 2005). In 2010, the first reason for patients 85+ to visit ED was fall/injury (27% vs 18% by 65-84), whereas the main cause for patients aged 65-84 years was a cardiovascular disorder (18% vs 16% by 85+). The part of high emergency cases was similar for patients 85+ and 65-84 (42%). Conclusion: Among aged patients those aged 85 and over are the fastest growing group admitted to ED. Compared to their younger counterparts, their reason to visit ED and their pattern of health services utilization differ due to specific epidemiological conditions. ED addressing specific needs of geriatric patients would improve their care and lead to a better use of available resources.

Médecine d'urgence [Emergency medicine: update 2008]

The emergency medicine appears more and more as a transversal discipline, leaning on specific competences regularly updated with evidence-based medicine concepts. This selection of recent articles presents an update on frequent conditions, including the place of neuroimaging for patients with seizures or minor head injuries, the management of acute cocaine intoxications, the diagnosis of aortic dissections, or the management of cardiopulmonary arrest. The primary care physician will find elements of diagnostic or therapeutic strategies. This selection reflects the dynamism of emergency medicine.

Preserving the health of ambulance personnel : some preliminary results from a study of pre-hospital emergency interventions

Little is known about the health of ambulance personnel, especially in Switzerland. This lack of knowledge is particularly striking in the specific field of occupational health. This study aims to identify and better understand protective and risk factors affecting the health of ambulance personnel. Both mental and physical health are considered. The approach used comprised two steps. The first step began in July 2008 and consisted in a qualitative study of real work activities performed by ambulance crews involved in pre-hospital emergency interventions. Researchers shadowed ambulance personnel for the duration of their entire work shift, in average for one week. The paper-pen technique was used to note dialogues, interactions, postural aspects, etc. When the situation allowed it, interventions were filmed. Some selected video sequences were used as a support for selfconfrontation interviews. Observations were performed by three researchers and took place in eleven services, for a total of 416 hours of observations (including 72 interventions + waiting time). Analysis, conducted by a multidisciplinary team (an ergonomist, an occupational therapist and a health psychologist), focused on individual and collective strategies used by ambulance personnel to protect their health. The second step, which is currently ongoing, aims to assess global health of ambulance personnel. A questionnaire is used to gather information about musculoskeletal complaints (Nordic questionnaire), mental health (GHQ-12), stress (Effort-Reward imbalance questionnaire), strategies implemented to cope with stress (Brief COPE), and working conditions. Specific items on strategies were developed based on observational data. It will be sent to all ambulance personnel employed in the French-speaking part of Switzerland. Preliminary analyses show different types of strategies used by ambulance personnel to preserve their health. These strategies involve postural aspects (e.g. use doorframe as a support to ease delicate manipulations), work environment adaptations (e.g. move furniture to avoid awkward postures), coping strategies (e.g. humor), as well as organisational (e.g. formal and informal debriefing) and collective (e.g. cooperation) mechanisms. In-depth analysis is still ongoing. However, patient safety and comfort, work environment and available resources appear to influence the choice of strategies ambulance personnel use. As far as possible, the strategies identified will be transformed into educational materials for professional ambulance personnel.

Stab wounds in a Swiss emergency department: a series of 80 consecutive cases.

Background: Interpersonal violence is a worldwide social reality which seems to increasingly affect even the safest of countries, such as Switzerland. In this country, road traffic accidents, as well as professional and recreational activities, are the main providers of trauma-related injuries. The incidence of penetrative trauma related to stab wounds seems to be regularly increasing in our ED. The question arises of whether our strategies in trauma management are adapted to deal efficiently with these injuries.Methods: To answer this question, the study analysed patients admitted for intentional penetrative injuries in a tertiary urban emergency department (ED) during a 23 month period. Demographics, conditions of the assault, injury type and treatments applied were analysed.Results: Eighty patients admitted due to an intentional penetrating trauma accounted for 0.2% of the surgical practice of our ED. The assault occurred equally in a public or a private context, mainly affecting young males during the night and the weekend. Sixty six patients (83%) were treated as out-patients. Only 10 patients needed surgery. None of them required damage control surgery. No patient died and the mean hospital stay was 5.5 days.Conclusions: The prevalence of stab wounds in Switzerland is low. These injuries rarely need complex, surgical procedures. Observational strategies should be considered according to the patient status.

Phenotypic heterogeneity of antigen-specific CD4 cells under different conditions of antigen persistence and antigen load

RESUME Nous n'avons pas de connaissance précise des facteurs à l'origine de l'hétérogénéité phénotypique des cellules T CD4 mémoires. Une troisième population phénotypique des cellules T CD4 mémoires, caractérisée par les marqueurs CD45RA+CCR7- a été identifiée dans cette étude. Cette population présente un état de différentiation avancée, comme en témoigne son histoire de réplication, ainsi que sa capacité de prolifération homéostatique. Les réponses des cellules T CD4 mémoires à différentes conditions de persistance et charge antigénique ont trois patterns phénotypiques différents, caractérisés par les marqueurs CD45RA et CCR7. La réponse CD4 mono -phénotypique CD45RA-CCR7+ ou CD45RA- CCR7- est associée à des conditions d'élimination de l'antigène (telle la réponse CD4 tétanos spécifique) ou à des conditions de persistance antigénique et de virémie élevée (telle la réponse HIV chronique ou la primo-infection CMV) respectivement. D'autre part, les réponses T CD4 multi -phénotypiques CD45RA-CCR7+ sont associées à des conditions d'exposition antigénique prolongée et de faible virémie (telles les infections CMV, EBV et HSV ou les infections HIV chez les long term non progressons). La réponse mono -phénotypique CD45RA- CCR7+ est propre aux cellules T CD4 secrétant de IL2, définies également comme centrales mémoires, la réponse CD45RA- CCR7- aux cellules T CD4 secrétant de l'IFNγ et finalement la réponse mufti-phénotypique aux cellules T CD4 secrétant à la fois de l'IL2 et de l' IFNγ. En conclusion, ces résultats témoignent d'une régulation de l'hétérogénéité phénotypique par l'exposition et la charge antigénique. ABSTRACT The factors responsible for the phenotypic heterogeneity of memory CD4 T cells are unclear. In the present study, we have identified a third population of memory CD4 T cells characterized as CD45RA+CCRT that, based on its replication history and the homeostatic proliferative capacity, was at an advanced stage of differentiation. Three different phenotypic patterns of memory CD4 T cell responses were delineated under different conditions of antigen (Ag) persistence and load using CD45RA and CCR7 as markers of memory T cells. Mono-phenotypic CD45RA'CCR7+ or CD45RA'CCR7' CD4 T cell responses were associated with conditions of Ag clearance (tetanus toxoid-specific CD4 T cell response) or Ag persistence and high load (chronic HIV-1 and primary CMV infections), respectively. Multi-phenotypic CD45RA CCR7+, CD45RA'CCRT and CD45RA+CCRT CD4 T cell responses were associated with protracted Ag exposure and low load (chronic CMV, EBV and HSV infections and HIV-1 infection in long-term nonprogressors). The mono-phenotypic CD45RA'CCR7+ response was typical of central memory (TCM) IL-2-secreting CD4 T cells, the mono-phenotypic CD45RA CCRT response of effector memory (TEM) IFN-γ -secreting CD4 T cells and the multi-phenotypic response of both IL-2- and IFN-γ -secreting cells. The present results indicate that the heterogeneity of different Ag-specific CD4 T cell responses is regulated by Ag exposure and Ag load.

Percutaneous drainage versus emergency cholecystectomy for the treatment of acute cholecystitis in critically ill patients : does it matter ?

RESUME DE THESEContexte de l'étudeLe but de cette étude est de comparer le drainage percutané (DP) et la chirurgie d'urgence (CU) de la vésicule biliaire (VB) pour le traitement de la cholécystite aiguë lithiasique/alithiasique dans un groupe homogène de patients gravement malades et hospitalisés aux soins intensifs (SI).Patients et méthodeEntre les années 2001 et 2007, tous les patients successivement traités par DP ou CU pour cholécystite aiguë aux SI ont été rétrospectivement analysés. Les cas ont été collectés à partir d'une base de données prospective. Le DP était effectué par voie trans-hépatique et la chirurgie par voie ouverte ou laparoscopique. L'état général des patients et la dysfonction des organes étaient évalués par deux scores validés (SAPS Π et SOFA, respectivement). L'analyse des données s'est portée sur les complications à court terme (morbidité, mortalité hospitalière) et à long terme (récurrence des symptômes) après drainage ou chirurgie en urgence.RésultatsQuarante-deux patients (âge médian 65 ans, 32-94 ans) ont été inclus dans l'étude ; 45% ont eu une CU (10 laparoscopics, 9 voies ouvertes) et 55% un DP (n=23) de la vésicule biliaire. Le DP et la CU ont eu des taux de succès respectifs de 91 et 100% pour la résolution du sepsis lié à la cholécystite aigiie. Après drainage et chirurgie de la VB, la dysfonction des organes secondaire au sepsis s'est résolue dans les 3 jours. Malgré le drainage, deux patients ont nécessité une cholécystectomie en urgence pour cholécystite gangréneuse. Le taux de conversion de la laparoscopic à la voie ouverte était de 20%. La morbidité majeure était de 0% après drainage et 21% après chirurgie en urgence (p=0.034). Finalement, la mortalité hospitalière était similaire (13% après DP vs. 16% après CU, p=1.0) et uniquement liée aux co-morbidités des patients. La récurrence des symptômes liés à la VB n'est apparue que chez des patients initialement drainés pour cholécystite lithiasique.ConclusionsChez les patients gravement malades des soins intensifs, le drainage percutané et la chirurgie en urgence de la VB sont tous deux efficaces pour la résolution d'un sepsis lié à une cholécystite aigiie. Cependant, la chirurgie d'urgence est associée à une morbidité majeure accrue et l'approche par laparoscopic n'est pas toujours réalisable. Le drainage percutané de la VB est donc une modalité de traitement valable, mais nécessite à distance de l'épisode aigu une cholécystectomie par laparoscopic, surtout après une cholécystite lithiasique.

Trends of pre-hospital emergency medical services activity over 10 years : a population-based registry analysis

BACKGROUND: The number of requests to pre-hospital emergency medical services (PEMS) has increased in Europe over the last 20 years, but epidemiology of PEMS interventions has little be investigated. The aim of this analysis was to describe time trends of PEMS activity in a region of western Switzerland. METHODS: Use of data routinely and prospectively collected for PEMS intervention in the Canton of Vaud, Switzerland, from 2001 to 2010. This Swiss Canton comprises approximately 10% of the whole Swiss population. RESULTS: We observed a 40% increase in the number of requests to PEMS between 2001 and 2010. The overall rate of requests was 35/1000 inhabitants for ambulance services and 10/1000 for medical interventions (SMUR), with the highest rate among people aged ≥ 80. Most frequent reasons for the intervention were related to medical problems, predominantly unconsciousness, chest pain respiratory distress, or cardiac arrest, whereas severe trauma interventions decreased over time. Overall, 89% were alive after 48 h. The survival rate after 48 h increased regularly for cardiac arrest or myocardial infarction. CONCLUSION: Routine prospective data collection of prehospital emergency interventions and monitoring of activity was feasible over time. The results we found add to the understanding of determinants of PEMS use and need to be considered to plan use of emergency health services in the near future. More comprehensive analysis of the quality of services and patient safety supported by indicators are also required, which might help to develop prehospital emergency services and new processes of care.