role of rapid testing and clinical decision in the diagnosis of human influenza A H1N1 infection

To evaluate the role of the rapid influenza diagnostic test [RIDT] and clinical decision in the diagnosis of H1N1. In November 2009, 290 suspected influenza patients were examined for H1N1 during an outbreak in Riyadh, Saudi Arabia. Nasopharyngeal swabs were analyzed using Directigen EZ Flu A+B kit. Monoclonal anti-human influenza A/B and reverse transcription- polymerase chain reaction [RT-PCR] were used. Positive and negative controls were used in each run of specimens. Validity indices were calculated for RIDT and clinical diagnostic criteria. The sensitivity and specificity of RIDT were 40.5% [95% confidence interval [CI]: 33.0-48.5], and 94.5% [95% CI: 88.6-97.6]. The sensitivity of clinical decision was 66.3% [95% CI: 58.4-73.4], and the specificity was 65.4% [95% CI: 56.3-73.4]. The sensitivity of clinical decision was higher in early presenters [79.2%; 95% CI: 57.3-92.1]. The RIDT sensitivity was higher in younger patients [48.4%; 95% CI: 35.7-61.3]. The positive predictive value [PPV] was 90.4% [95% CI: 80.7-95.7] for RIDT, and 71.1% [95% CI: 63.1-78.0] for clinical decision. The PPV for RIDT was greater for older [94.7%; 95% CI: 80.9-99.1] and late [90.7%; 95% CI: 76.9-97.0] presenters. The adjusted odds ratio for clinical decision was significant for cough, headache, and fatigue. The RIDT can be useful in epidemics and high prevalence areas, whereas clinical decision, and RT-PCR complement the diagnosis of H1N1 in any setting

Epidemiological and sociocultural study of burn patients in Alexandria, Egypt

All burn cases admitted to the burns unit of Alexandria Main University Hospital over a period of one year were investigated. Burns were found to occur in younger age groups. There was an almost equal distribution of cases by sex, but when stratified by age, more females were found in most age groups. Most burns were domestic, with cooking being the most prevalent activity. Flame was the most common agent. Death occurred in about one-third of cases; when using logistic regression analysis, the outcome of the burn injury was significantly associated with age, sex, total surface area burnt and degree and depth of the burn