Summaryobjective To identify risk factors for in-hospital mortality in patients treated for visceral leishmaniasis (VL) in Uganda. results Between 2000 and 2005, of 3483 clinically suspect patients, 53% were confirmed with primary VL. Sixty-two per cent were children <16 years of age with a male ⁄ female ratio of 2.2. The overall case-fatality rate during pentavalent antimonial (n = 1641) or conventional amphotericin B treatment (n = 217) was 3.7%. There was no difference in the case-fatality rate between treatment groups (P > 0.20). The main risk factors for in-hospital death identified by a multivariate analysis were age <6 years and >15 years, concomitant tuberculosis or hepatopathy, and drug-related adverse events. The case-fatality rate among patients >45 years of age was strikingly high (29.0%).

There is little evidence about the effects of most types of biomedical tests for risk assessment on smoking cessation. Of the fifteen included studies, only two detected a significant effect of the intervention. Spirometry combined with an interpretation of the results in terms of 'lung age' had a significant effect in a single good quality trial but the evidence is not optimal. A trial of carotid plaque screening using ultrasound also detected a significant effect, but a second larger study of a similar feedback mechanism did not detect evidence of an effect. Only two pairs of studies were similar enough in terms of recruitment, setting, and intervention to allow meta-analyses; neither of these found evidence of an effect. Mixed quality evidence does not support the hypothesis that other types of biomedical risk assessment increase smoking cessation in comparison to standard treatment. There is insufficient evidence with which to evaluate the hypothesis that multiple types of assessment are more effective than single forms of assessment.

The development of an accurate, practical, and affordable diagnostic test is essential to improve the management of visceral leishmaniasis (VL) in remote health centers. We evaluated the Formol Gel test (

Background The medical field causes significant environmental impact. Reduction of the primary care practice carbon footprint could contribute to decreasing global carbon emissions. This study aims to quantify the average carbon footprint of a primary care consultation, describe differences between primary care practices (best, worst and average performing) in western Switzerland and identify opportunities for mitigation. Methods We conducted a retrospective carbon footprint analysis of ten private practices over the year 2018. We used life-cycle analysis to estimate carbon emissions of each sector, from manufacture to disposal, expressing results as CO2 equivalents per average consultation and practice. We then modelled an average and theoretical best- case and worst-case practices. Collected data included invoices, medical and furniture inventories, heating and power supply, staff and patient transport, laboratory analyses (in/out-house) waste quantities and management costs. Results An average medical consultation generated 4.8 kg of CO2eq and overall, an average practice produced 30 tons of CO2eq per year, with 45.7% for staff and patient transport and 29.8% for heating. Medical consumables produced 5.5% of CO2eq emissions, while in-house laboratory and X-rays contributed less than 1% each. Emergency analyses requiring courier transport caused 5.8% of all emissions. Support activities generated 82.6% of the total CO2eq. Simulation of best- and worst-case scenarios resulted in a ten-fold variation in CO2eq emissions. Conclusion Optimizing structural and organisational aspects of practice work could have a major impact on the carbon footprint of primary care practices without large-scale changes in medical activities.