Hiv/Aids prevalence at the accident & emergency centre of a tertiary and referral health institution in Ghana

Background: Ghana has an estimated HIV prevalence of 1.4%, but the HIV prevalence of patients presenting at emergency departments in Ghana is not well documented in published literature. This study evaluated the prevalence of HIV infection at the Accident & Emergency Department, Komfo Anokye Teaching Hospital (KATH A&E), Kumasi, Ghana.Methods: A descriptive cross-sectional survey was carried out on patients aged 18 and above presenting to KATH A&E. An opt-in testing approach was used; consenting patients were screened for HIV using rapid HIV finger-stick testing with HIV 1-2 STAT-PAK. Sero-positivity was confirmed by OraQuick HIV 1-2 test. Data was analysed using multivariate logistic regression.Results: 1125 patients presenting at the KATH A&E during the study period were offered the Rapid HIV test. 667 of these patients consented to have the test. HIV prevalence was 13.5% (90/667). 53 females (58.9%) were HIV positive compared to 37 males (41.1%). The age group 30-50 years had the highest risk of being HIV-positive. Other socio-demographic variables such as educational level and occupation were significantly associated with HIV-infection (Pvalue = 0.001 at 95% CI).Conclusion: This study shows that emergency department HIV testing in Ghana is feasible. The prevalence of HIV sero-positive patients presenting at KATH A&E was tenfold higher than national estimates. We conclude that this study showed a high prevalence among patients seeking emergency care in our setting. Testing in the emergency department could lead to early detection of HIV-infected patients for linkage to care.Keywords: HIV Infections; HIV Screening; Prevalence, Diagnosis, Emergency Departmen

Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis.

The criteria for defining severe malaria have evolved over the last 20 years. We aimed to assess the strength of association of death with features currently characterizing severe malaria through a systematic review and meta-analysis. Electronic databases (Medline, Embase, Cochrane Database of Systematic Reviews, Thomson Reuters Web of Knowledge) were searched to identify publications including African children with severe malaria. PRISMA guidelines were followed. Selection was based on design (epidemiological, clinical and treatment studies), setting (Africa), participants (children < 15 years old with severe malaria), outcome (survival/death rate), and prognostic indicators (clinical and laboratory features). Quality assessment was performed following the criteria of the 2011 Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). Odds ratios (ORs) were calculated for each study and prognostic indicator, and, when a test was assessed in at least two studies, pooled estimates of ORs were computed using fixed- or random-effects meta-analysis. A total of 601 articles were identified and screened and 30 publications were retained. Features with the highest pooled ORs were renal failure (5.96, 95% CI 2.93-12.11), coma score (4.83, 95% CI 3.11-7.5), hypoglycemia (4.59, 95% CI 2.68-7.89), shock (4.31, 95% CI 2.15-8.64), and deep breathing (3.8, 95% CI 3.29-4.39). Only half of the criteria had an OR > 2. Features with the lowest pooled ORs were impaired consciousness (0.58, 95% CI 0.25-1.37), severe anemia (0.76, 95% CI 0.5- 1.13), and prostration (1.12, 95% CI 0.45-2.82). The findings of this meta-analysis show that the strength of association between the criteria defining severe malaria and death is quite variable for each clinical and/or laboratory feature (OR ranging from 0.58 to 5.96). This ranking allowed the identification of features weakly associated with death, such as impaired consciousness and prostration, which could assist to improve case definition, and thus optimize antimalarial treatment

The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project

The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity