Central Nervous System Infections Clinical Trial
Official title:
Singapore Neurologic Infections Program
Worldwide, central nervous system infections such as inflammation of brain (encephalitis),
inflammation of meninges (meningitis) and sudden onset of weakness of muscles which maybe
infectious in origin result in significant illness and death and healthcare costs. Vast
majority of central nervous system infections remain without an identifiable cause. There is
also concern about new and emerging infections.
This study thus intends to fill in the gaps in knowledge with regards to central nervous
system infections in Singapore to give a thorough description of burden of causes of central
nervous system infections and detection of outbreaks of new pathogens. Patients suspected of
central nervous system infection will be recruited from 5 restructured Singapore hospitals
and their blood and other clinical specimens will be sent for testing. Patients will also be
followed up to assess long term outcomes and socio-economic costs of these infections. This
will help clinicians, policymakers and public health officials in estimating financial and
societal costs of CNs infections in Singapore.
The study aims to:
1. To describe the epidemiology of CNS infections in Singapore.
2. To improve the diagnosis of aetiologies of CNS infections through a systematic
clinical, laboratory and neuro-radiological evaluation and extensive diagnostic
testing.
3. To evaluate the prognosis, long-term outcomes and socio-economic costs of CNS
infections.
4. To establish an archive of biological tissues from patients with encephalitis and CNS
infections that can be utilized for future testing for emerging novel pathogens or
non-infectious aetiologies.
The study will recruit 400 patients over 2 years from 5 restructured hospitals in Singapore.
As this is not a comparative study, sample size was not determined.
The study involves clinical and laboratory data collection. Data will also be collected on
quality of life and for health economic analysis. The quality of data and its integrity will
be periodically reviewed by the Principal Investigator and members of the study team. All
samples stored will be de-identified and all data will be de-identified during analysis.
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