Cumulative risk factors for adolescent alcohol misuse and its perceived consequences among 16 to 20 year old adolescents in Switzerland

Rapport de synthèse : OBJECTIF: évaluer l'impact cumulatif des facteurs individuels et environnementaux associés au mésusage d'alcool chez les adolescents et leurs corrélations avec ses conséquences perçues. METHODE : enquête scolaire transversale d'un échantillon représentatif de la population nationale, incluant 7548 apprentis et élèves ayant terminé l'école obligatoire âgés de 16 à 20 ans, en Suisse, en 2002. Le mésusage de l'alcool est fondé sur les réponses aux questions portant sur la fréquence 1) de sa consommation, 2) des épisodes d'ivresse et 3) de la conduite d'un véhicule sous son emprise. RÉSULTATS : quinze facteurs de risque significatifs ont été identifiés pour les adolescents des deux sexes. Un score individuel de facteurs de risques cumulés a été calculé en les additionnant. L'association entre ce score et la probabilité d'être engagé dans le mésusage d'alcool s'est révélée hautement significative et dose dépendante (p<0.001). Une proportion importante des adolescents rapporte des conséquences subjectives néfastes liées à leur consommation d'alcool. Il existe une corrélation linéaire (p<0.001) entre le score de facteurs de risque et la proportion d'adolescents rapportant des problèmes liés à la consommation d'alcool tels que mauvaises performances scolaires, comportements à risque, problèmes relationnels et comportements sexuels à risques. CONCLUSION : les facteurs de risque du mésusage d'alcool chez les adolescents sont cumulatifs et peuvent être synthétisés par un score individuel corrélé à la tendance à ce mésusage. La relation linéaire de ce score avec des problèmes subjectifs consécutifs à ce mésusage est un indicateur supplémentaire de sa validité.

Entourage des patients âgés avec une pathologie mentale [Carers of elderly patients suffering from mental disorders]

Mental disorders in the elderly lead their families to stand in and adopt a variety of roles before institutional care takes over. These pathologies carry a high risk of suffering for families and distress for professional caregivers. Thus, the psychological burden endured by the proxies of an elderly depressed patient, or of one who has committed suicide, or of patient suffering from dementia needs special attention and, in some cases, professional care. The discussion of these paradigmatic situations in this manuscript will be extended by a paragraph on specific stakes raised by alcoholic patients living in nursing homes. It will stress the complexity and requirements of professionalism when approaching the familial and professional circle of the elderly psychiatric patient.

Variations régionales du recours aux soins: quelques problèmes méthodologiques. [Regional variations in health services: various methodological problems].

Many studies show strong variation of health consumption between regions, suggesting that theses variations are related to the uncertainty of medical practice or to other factors related to health services or patients attitude. However the statistical interpretation of these variations is far from easy: apart from usual and specific information bias, there are statistical problems when observing incidence of events like health care consumption: it is in fact a rare event, which is observed within small population, and among regions with unequal number of person. Therefore, most of the variation reported might be well explained by a purely statistical phenomenon. This paper presents some aspects of this variability for three common indicators of variation, and suggest the use of ad hoc simulation to get statistical criteria.

Effect of various neutrally adjusted ventilator assist (NAVA) gains on the relationship between diaphragmatic activity (Eadi max) and tidal volume

INTRODUCTION. Neurally Adjusted Ventilatory Assist (NAVA) is an assisted ventilatorymode in which the ventilator is driven by the electrical activity of the diaphragm (Eadi).NAVAimproves patient-ventilator synchrony [1] but little is known about how to set the NAVA gaini.e., how to choose the ratio between Eadi and delivered pressure. The aim of the present studywas to assess the relationship between Eadi and tidal volume (Vt) at various NAVA gainsettings and to evaluate whether modifying the gain influenced this relationship in non-invasivelyventilated (NIV) patients.METHODS. Prospective interventional study comparing 3 values of NAVA gain during NIV(20 min each). NAVA100 was set by the clinician according to the manufacturer's recommendations.In NAVA50 and NAVA150 the gain was set as -50% and +50% of NAVA100gain respectively. Vt and maximal Eadi value (Eadi max) were recorded. The ratio Vt/Eadi wasthen assessed for each breath. 5-95% range (range 90) of Vt/Eadi was calculated for eachpatient at each NAVA gain setting. Vt/Eadi ratio has the advantage to give an objectiveassessment Vt/Eadi max relationship independently from the nature of this relationship. Asmaller Range90 indicates a better matching of Vt to Eadi max.RESULTS. 12 patients were included, 5 had obstructive pulmonary disease and 2 mixedobstructive and restrictive disease. For NAVA100, the median [IQR] Range 90 was 32[19-87]. For NAVA150 Range 90 was 37 [20-95] and for NAVA50 Range 90 was 33 [16-92].That means that globally NAVA100 allowed a better match between Eadi max and Vt thanNAVA50 and 150. However, by patient, NAVA100 had the lowest Range 90 value for only 4patients (33%), NAVA150 for 2 (17%) and NAVA50 for 6 (50%) patients, indicating thatNAVA100 was not the best NAVA gain for minimizing Range 90 in every patients.Comparing the lowest Range 90 value to the next lowest for each patient, showed that 3 patientshad differences of less than 10% (one each for NAVA50, NAVA100 and NAVA150). Theremainder had differences from 17 to 24%, indicating that most patients (9/12 or 75%) had aclear better match between Eadi and Vt for one specific NAVA gain.CONCLUSIONS. Different NAVA gains yielded markedly different ability to match Vt toEadi max. This approach could be a new way to determine optimalNAVAgain for each patientbut require further investigations.REFERENCE. Piquilloud L, et al. Intensive Care Med 2011;37:263-71.