299 resultados para Calcimeter (Bernard)


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ABSTRACT: BACKGROUND: The incidence of ventilator-associated pneumonia (VAP) within the first 48 hours of intensive care unit (ICU) stay has been poorly investigated. The objective was to estimate early-onset VAP occurrence in ICUs within 48 hours after admission. METHODS: We analyzed data from prospective surveillance between 01/01/2001 and 31/12/2009 in 11 ICUs of Lyon hospitals (France). The inclusion criteria were: first ICU admission, not hospitalized before admission, invasive mechanical ventilation during first ICU day, free of antibiotics at admission, and ICU stay >=48 hours. VAP was defined according to a national protocol. Its incidence was the number of events per 1,000 invasive mechanical ventilation-days. The Poisson regression model was fitted from day 2 (D2) to D8 to incident VAP to estimate the expected VAP incidence from D0 to D1 of ICU stay. RESULTS: Totally, 367 (10.8%) of 3,387 patients in 45,760 patient-days developed VAP within the first 9 days. The predicted cumulative VAP incidence at D0 and D1 was 5.3 (2.6-9.8) and 8.3 (6.1-11.1), respectively. The predicted cumulative VAP incidence was 23.0 (20.8-25.3) at D8. The proportion of missed VAP within 48 hours from admission was 11% (9%-17%). CONCLUSIONS: Our study indicates underestimation of early-onset VAP incidence in ICUs, if only VAP occurring [greater than or equal to]48 hours is considered to be hospital-acquired. Clinicians should be encouraged to develop a strategy for early detection after ICU admission.

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Post-prescription review of hospital antibiotic therapy may contribute to more appropriate use. We estimated the impact of a standardised review of intravenous antibiotic therapy three days after prescription in two internal medicine wards of a university hospital. In one ward, we assessed the charts of patients under intravenous antibiotic therapy using a standardised review process and provided feedback to the prescriber. There was no intervention in the other ward. After six months we crossed the allocation between the two wards. In all, 204 courses of antibiotic therapy were included in the intervention periods and 226 in the control periods. Post-prescription review led to proposals for modification in 46% of antibiotic courses. Time to treatment modification was 22% shorter in the intervention periods compared with the control periods (3.9+/-5.2 days vs 5.0+/-6.0 days, P=0.007). Patients included in the intervention group had lower antibiotic consumption than patients in the control group, but the intervention had no significant impact on the overall antibiotic consumption of the two wards.

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OBJECTIVE: To describe chronic disease management programs active in Switzerland in 2007, using an exploratory survey. METHODS: We searched the internet (Swiss official websites and Swiss web-pages, using Google), a medical electronic database (Medline), reference lists of pertinent articles, and contacted key informants. Programs met our operational definition of chronic disease management if their interventions targeted a chronic disease, included a multidisciplinary team (>/=2 healthcare professionals), lasted at least six months, and had already been implemented and were active in December 2007. We developed an extraction grid and collected data pertaining to eight domains (patient population, intervention recipient, intervention content, delivery personnel, method of communication, intensity and complexity, environment, clinical outcomes). RESULTS: We identified seven programs fulfilling our operational definition of chronic disease management. Programs targeted patients with diabetes, hypertension, heart failure, obesity, psychosis and breast cancer. Interventions were multifaceted; all included education and half considered planned follow-ups. The recipients of the interventions were patients, and healthcare professionals involved were physicians, nurses, social workers, psychologists and case managers of various backgrounds. CONCLUSIONS: In Switzerland, a country with universal healthcare insurance coverage and little incentive to develop new healthcare strategies, chronic disease management programs are scarce. For future developments, appropriate evaluations of existing programs, involvement of all healthcare stakeholders, strong leadership and political will are, at least, desirable.

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BACKGROUND: Sequence data from resistance testing offer unique opportunities to characterize the structure of human immunodeficiency virus (HIV) infection epidemics. METHODS: We analyzed a representative set of HIV type 1 (HIV-1) subtype B pol sequences from 5700 patients enrolled in the Swiss HIV Cohort Study. We pooled these sequences with the same number of sequences from foreign epidemics, inferred a phylogeny, and identified Swiss transmission clusters as clades having a minimal size of 10 and containing >or=80% Swiss sequences. RESULTS: More than one-half of Swiss patients were included within 60 transmission clusters. Most transmission clusters were significantly dominated by specific transmission routes, which were used to identify the following patient groups: men having sex with men (MSM) (38 transmission clusters; average cluster size, 29 patients) or patients acquiring HIV through heterosexual contact (HETs) and injection drug users (IDUs) (12 transmission clusters; average cluster size, 144 patients). Interestingly, there were no transmission clusters dominated by sequences from HETs only. Although 44% of all HETs who were infected between 1983 and 1986 clustered with injection drug users, this percentage decreased to 18% for 2003-2006 (P<.001), indicating a diminishing role of injection drug users in transmission among HETs over time. CONCLUSIONS: Our analysis suggests (1) the absence of a self-sustaining epidemic of HIV-1 subtype B in HETs in Switzerland and (2) a temporally decreasing clustering of HIV infections in HETs and IDUs.

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QUESTION UNDER STUDY: To assess how important the possibility to choose specialist physicians is for Swiss residents and to determine which variables are associated with this opinion. METHODS: This cross-sectional study used data from the 2007 Swiss population-based health survey and included 13,642 non-institutionalised adults who responded to the telephone and paper questionnaires. The dependent variable included answers to the question "How important is it for you to be able to choose the specialist you would like to visit?" Independent variables included socio-demographics, health and past year healthcare use measures. Crude and adjusted logistic regressions for the importance of being able to choose specialist physicians were performed, accounting for the survey design. RESULTS: 45% of participants found it very important to be able to choose the specialist physician they wanted to visit. The answers "rather important", "rather not important" and "not important" were reported by 28%, 20% and 7% of respondents. Women, individuals in middle/high executive position, those with an ordinary insurance scheme, those reporting ≥2 chronic conditions or poorer subjective health, or those who had had ≥2 outpatient visits in the preceding year were more likely to find this choice very important. CONCLUSIONS: In 2007, almost half of all Swiss residents found it very important to be able to choose his/her specialist physician. The further development of physician networks or other chronic disease management initiatives in Switzerland, towards integrated care, need to pay attention to the freedom of choice of specialist physicians that Swiss residents value. Future surveys should provide information on access and consultations with specialist physicians.