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The causes of a pyrexia of unknown origin (PUO) are broadly spread across infectious, malignant, or inflammatory conditions. The authors report a case of a 43-year-old female who initially presented with hypoxia and fevers secondary to a presumed acute viral or bacterial infectious pulmonary insult. However, fevers persisted despite pulmonary imaging remaining normal. The case subsequently evolved into a PUO with multiple lines of investigation proving inconclusive. No definitive diagnosis was made at the time of discharge; however, cessation of hydralazine was noted to coincide with the last of the patient’s fevers. Following the discharge, her anti-histone antibodies returned a positive result, and the diagnosis of drug-induced lupus was made with hydralazine as the presumed trigger.

Abstract Background In 2017, Australia experienced its highest levels of influenza virus activity since the 2009 pandemic. This allowed detailed comparison of the characteristics of patients with community and hospital-acquired influenza, and infection control factors that contributed to influenza spread. Methods A surveillance based study was conducted on hospitalised patients with laboratory-confirmed influenza at the Canberra Hospital during April–October 2017. Differences between the hospital-acquired and community-acquired patient characteristics and outcomes were assessed by univariate analysis. Epidemiologic curves were developed and cluster distribution within the hospital was determined. Results Two hundred and ninety-two patients were included in the study. Twenty-eight (9.6%) acquired influenza in hospital, representing a higher proportion than any of the previous 5 years (range 0.9–5.8%). These patients were more likely to have influenza A (p = 0.021), had higher rates of diabetes (p = 0.015), malignancy (p = 0.046) and chronic liver disease (p = 0.043). Patients acquiring influenza in hospital met clinical criteria for influenza like illness in 25% of cases, compared with 64.4% for community-acquired cases (p

We describe a young man who initially presented with stroke and febrile illness. He was eventually diagnosed with Tropheryma whipplei endocarditis. This is a very rare condition and to the best of our knowledge, this is the first documented case of T. whipplei endocarditis in Australia and New Zealand regions. This report aims to increase awareness of clinicians of this very rare but potentially treatable condition. It is reasonable to exclude T. whipplei endocarditis when dealing with high-risk patients who are suspected for “culture-negative” endocarditis.

ObjectivesTo determine how important governmental, social, and economic factors are in driving antibiotic resistance compared to the factors usually considered the main driving factors-antibiotic usage and levels of economic development.DesignA retrospective multivariate analysis of the variation of antibiotic resistance in Europe in terms of human antibiotic usage, private health care expenditure, tertiary education, the level of economic advancement (per capita GDP), and quality of governance (corruption). The model was estimated using a panel data set involving 7 common human bloodstream isolates and covering 28 European countries for the period 1998-2010.ResultsOnly 28% of the total variation in antibiotic resistance among countries is attributable to variation in antibiotic usage. If time effects are included the explanatory power increases to 33%. However when the control of corruption indicator is included as an additional variable, 63% of the total variation in antibiotic resistance is now explained by the regression. The complete multivariate regression only accomplishes an additional 7% in terms of goodness of fit, indicating that corruption is the main socioeconomic factor that explains antibiotic resistance. The income level of a country appeared to have no effect on resistance rates in the multivariate analysis. The estimated impact of corruption was statistically significant (p< 0.01). The coefficient indicates that an improvement of one unit in the corruption indicator is associated with a reduction in antibiotic resistance by approximately 0.7 units. The estimated coefficient of private health expenditure showed that one unit reduction is associated with a 0.2 unit decrease in antibiotic resistance.ConclusionsThese findings support the hypothesis that poor governance and corruption contributes to levels of antibiotic resistance and correlate better than antibiotic usage volumes with resistance rates. We conclude that addressing corruption and improving governance will lead to a reduction in antibiotic resistance.