Impact of clinical practice guidelines on priorisation for intensive care beds allocation in high-risk acute coronary syndrome patients: does age play a role?

QUESTION UNDER STUDY: To assess which high-risk acute coronary syndrome (ACS) patient characteristics played a role in prioritising access to intensive care unit (ICU), and whether introducing clinical practice guidelines (CPG) explicitly stating ICU admission criteria altered this practice. PATIENTS AND METHODS: All consecutive patients with ACS admitted to our medical emergency centre over 3 months before and after CPG implementation were prospectively assessed. The impact of demographic and clinical characteristics (age, gender, cardiovascular risk factors, and clinical parameters upon admission) on ICU hospitalisation of high-risk patients (defined as retrosternal pain of prolonged duration with ECG changes and/or positive troponin blood level) was studied by logistic regression. RESULTS: Before and after CPG implementation, 328 and 364 patients, respectively, were assessed for suspicion of ACS. Before CPG implementation, 36 of the 81 high-risk patients (44.4%) were admitted to ICU. After CPG implementation, 35 of the 90 high-risk patients (38.9%) were admitted to ICU. Male patients were more frequently admitted to ICU before CPG implementation (OR=7.45, 95% CI 2.10-26.44), but not after (OR=0.73, 95% CI 0.20-2.66). Age played a significant role in both periods (OR=1.57, 95% CI 1.24-1.99), both young and advanced ages significantly reducing ICU admission, but to a lesser extent after CPG implementation. CONCLUSION: Prioritisation of access to ICU for high-risk ACS patients was age-dependent, but focused on the cardiovascular risk factor profile. CPG implementation explicitly stating ICU admission criteria decreased discrimination against women, but other factors are likely to play a role in bed allocation.

Rockfall hazard and risk assessments along roads at a regional scale: Example in Swiss Alps

Unlike fragmental rockfall runout assessments, there are only few robust methods to quantify rock-mass-failure susceptibilities at regional scale. A detailed slope angle analysis of recent Digital Elevation Models (DEM) can be used to detect potential rockfall source areas, thanks to the Slope Angle Distribution procedure. However, this method does not provide any information on block-release frequencies inside identified areas. The present paper adds to the Slope Angle Distribution of cliffs unit its normalized cumulative distribution function. This improvement is assimilated to a quantitative weighting of slope angles, introducing rock-mass-failure susceptibilities inside rockfall source areas previously detected. Then rockfall runout assessment is performed using the GIS- and process-based software Flow-R, providing relative frequencies for runout. Thus, taking into consideration both susceptibility results, this approach can be used to establish, after calibration, hazard and risk maps at regional scale. As an example, a risk analysis of vehicle traffic exposed to rockfalls is performed along the main roads of the Swiss alpine valley of Bagnes.

Clinical follow-up of women infected with human papillomavirus-16, either alone or with other human papillomavirus types: identification of different risk groups.

OBJECTIVES: Evaluation of the clinical impact of multiple infections of the cervix by human papillomavirus, including human papillomavirus-16, compared with single human papillomavirus-16 infection. STUDY DESIGN: One hundred sixty-nine women were classified in 3 categories depending on their human papillomavirus profile: human papillomavirus-16 only, human papillomavirus-16 and low-risk type(s), and human papillomavirus-16 and other high-risk type(s). Cervical brush samples were analyzed for human papillomavirus DNA by polymerase chain reaction and reverse line blot hybridization. All women were evaluated with colposcopy during 24 months or more. Management was according to the Bethesda recommendations. RESULTS: Women infected with human papillomavirus-16 and other high-risk human papillomavirus type(s) presented more progression or no change in the grade of dysplasia, compared with women of the other groups (relative risk [RR], 1.39; 95% confidence interval [CI], 1.07-1.82; P = .02 at 6 months; RR, 2.10; 95% CI, 1.46-3.02; P < .001 at 12 months; RR, 1.82; 95% CI, 1.21-2.72; P = .004 at 24 months). CONCLUSION: Coinfection of women with human papillomavirus-16 and other high-risk human papillomavirus type(s) increases the risk of unfavorable evolution.

Differences in self-reported prevalence and management of cardiovascular risk factors in Switzerland, 2007

Purpose: To assess the prevalence of four self-reported cardiovascular risk factors (CV RFs: smoking, hypertension, dyslipidaemia and diabetes) and their reported management in seven Swiss regions (Léman, MiUelland, Zurich, North-West Switzerland, Oriental Switzerland, Central Switzerland and Tessin). Methods: National health interview survey conducted in 2007 in a representative sample of the Swiss population (17,879 subjects). Age-adjusted data on prevalence of self-reported CV RFs, treatment among participants reporting a RF, control of RFs among treated participants and CV RF screening in the last 12 months levels were computed after weighting. Results: The prevalence of hypertension was highest in North-West Switzerland (27.3%) and lowest in Central Switzerland (21.0%, p<0.001). Antihypertensive treatment was highest in Léman region (62.7%) and lowest in Oriental Switzerland (55.2%, p<0.001). Screening was higher in Tessin (89.3%) and lowest in Léman region (81.8%, p<0.001). Prevalence of dyslipidaemia was highest in Tessin and Léman region (20.7% and 20.1 %, respectively) and lowest in Oriental Switzerland (14.5%, p<0.001). Lipid-Iowering treatment was highest in Tessin and Léman region (44.3% each) and lowest in Central Switzerland (30.7%, p<0.001). Dyslipidaemia screening was highest in Tessin (76.6%) and lowest in Central Switzerland (58.6%, p<0.001). Prevalence of diabetes was highest in North-West Switzerland (5.4%) and lowest in Central Switzerland (3.3%, p<0.05). Diabetes screening was highest in Tessin (78.1%) and lowest in Oriental Switzerland (64.0%, p<0.001). Conversely, no between-region differences were found for hypertension or dyslipidaemia control (see table). Conclusion: there are significant differences between the Swiss regions in self-reported prevalence and management of CV RFs. Screening is beUer in Tessin than in the other regions.