An automated, broad-based, near real-time public health surveillance system using presentations to hospital Emergency Departments in New South Wales, Australia

BACKGROUND: In a climate of concern over bioterrorism threats and emergent diseases, public health authorities are trialling more timely surveillance systems. The 2003 Rugby World Cup (RWC) provided an opportunity to test the viability of a near real-time syndromic surveillance system in metropolitan Sydney, Australia. We describe the development and early results of this largely automated system that used data routinely collected in Emergency Departments (EDs). METHODS: Twelve of 49 EDs in the Sydney metropolitan area automatically transmitted surveillance data from their existing information systems to a central database in near real-time. Information captured for each ED visit included patient demographic details, presenting problem and nursing assessment entered as free-text at triage time, physician-assigned provisional diagnosis codes, and status at departure from the ED. Both diagnoses from the EDs and triage text were used to assign syndrome categories. The text information was automatically classified into one or more of 26 syndrome categories using automated "naïve Bayes" text categorisation techniques. Automated processes were used to analyse both diagnosis and free text-based syndrome data and to produce web-based statistical summaries for daily review. An adjusted cumulative sum (cusum) was used to assess the statistical significance of trends. RESULTS: During the RWC the system did not identify any major public health threats associated with the tournament, mass gatherings or the influx of visitors. This was consistent with evidence from other sources, although two known outbreaks were already in progress before the tournament. Limited baseline in early monitoring prevented the system from automatically identifying these ongoing outbreaks. Data capture was invisible to clinical staff in EDs and did not add to their workload. CONCLUSION: We have demonstrated the feasibility and potential utility of syndromic surveillance using routinely collected data from ED information systems. Key features of our system are its nil impact on clinical staff, and its use of statistical methods to assign syndrome categories based on clinical free text information. The system is ongoing, and has expanded to cover 30 EDs. Results of formal evaluations of both the technical efficiency and the public health impacts of the system will be described subsequently

Tumor markers of uterine cervical cancer: a new scenario to guide surgical practice?

Since the introduction of Pap smear screening, the incidence and mortality of cervical cancer (CC) have been reduced drastically in USA and in other western states. Nevertheless, CC still remains the main cause of death from gynecological cancer in developing countries where screening programs are scant or inexistent. This evidence highlights the efficacy of screening, and the wide use of Human Papilloma Viruses (HPV) vaccines in developed countries. More and more people are, consequentially, undergoing a screening procedure, usually combined with HPV DNA test, increasing the early diagnosis of intraepithelial HPV-related lesions. The long transit time from early cervical lesion to invasive cancer provides an opportunity to identify pre-cancerous lesions where treatment result is maximum. In fact, when an invasive CC occurs, the overall survival rate strictly depends on stage of disease with an average survival of 70% at 5 years. Under the pressure of this reality, researches have made efforts to individuate cancer markers as indicator of specific cancer events. Some markers were showed to be able to detect those intraepithelial lesions have more chance to evolve to invasive forms (p16ink4a, p16, E-cadherin, Ki67, pRb, p53). Markers such as CEA, SCC-Ag, CD44, have been developed to detect invasive forms. Although cancer markers actually are not used only for early diagnosis, they may be useful in others fields of application such as evaluation and monitoring of treatments to improve diagnosis and treatment of CC

Pharmacological Management of Anxiety Disorders in the Elderly

Anxiety disorders are common in the elderly. Additionally, anxiety symptoms often accompany co-morbid psychiatric, medical, as well as neurodegenerative diseases in the older population. Anxiety in the elderly, often accompanied by depression, can lead to worsening physical, cognitive and functional impairments in this vulnerable population. Antidepressants are considered first line treatment. Both SSRIs and SNRIs are efficacious and well-tolerated in the elderly. Some SSRIs are strong inhibitors of the cytochrome P450 hepatic pathway whereas others have less potential for drug interaction. Those antidepressants with more favorable pharmacokinetic profiles should be considered first-line in the treatment of anxiety. Mirtazapine and vortioxetine are also considered safe treatment options. Buspirone may have benefit, but lacks studies in elderly populations. Although tricyclic/tetracyclic antidepressants (TCAs) and monoamine oxidase inhibitors (MAOIs) may be effective in the elderly, their side effect and safety profiles are suboptimal and thus are not recommended in late-life. Benzodiazepines and beta blockers should generally be avoided when treating anxiety in the elderly. There is not enough evidence to support the use of antipsychotics or mood stabilizers given their risk of problems in both the long and short term. In addition, antipsychotics have a black box warning for increased mortality in elderly patients with dementia