[Show abstract][Hide abstract] ABSTRACT: Patients with neutropenic fever after 4-7 days of broad-spectrum antibiotics are given antifungals empirically. This strategy may lead to over-treatment.
Patients with hematological malignancies undergoing intensive chemotherapy or hematopoietic stem cell transplantation were randomized to two arms. Patients in the 'preemptive' arm had regular galactomannan (GM) assays, and received caspofungin, amphotericin or voriconazole (CAV) for persistent febrile neutropenia if they had two positive GM results, or a positive GM result and a computed tomography (CT) of the thorax suggestive of invasive pulmonary aspergillosis (IPA). Patients in the 'empirical' arm received CAV in accordance with established guidelines.
Of 27 episodes in the preemptive arm, two cases of IPA were picked up by monitoring. In six episodes, CAV was started despite persistently negative GM readings. One additional patient received CAV for a false-positive GM. Of 25 episodes in the empirical arm, CAV was started empirically in 10, one of whom had CT features of IPA. By intent-to-treat and evaluable-episode analyses, respectively, the preemptive approach saved 11% and 14% of patients from empirical antifungals. Twelve-week survival was 85.2% in the preemptive arm and 84% in the empirical arm.
A preemptive approach may reduce empirical antifungal use without compromising survival in persistently febrile neutropenic patients.
International journal of infectious diseases: IJID: official publication of the International Society for Infectious Diseases 03/2011; 15(5):e350-6. · 2.17 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: To the Editor: In the past few years, several publications have reported that Internet search queries may usefully supplement other, traditional surveillance programs for infectious diseases (1-3). The philanthropic arm of Google offers Flu Trends, a site that provides up-to-date estimates of influenza activity in 20 countries of the Pacific Rim and Europe (4) by using data mining techniques to find good predictors of historic influenza indicators (1).
[Show abstract][Hide abstract] ABSTRACT: The antimicrobial activities of tetracycline, mupirocin, and fusidic acid are tested in combination with Epicatechin Gallate (ECG), and Ethyl Gallate (EG) using 2 Methicillin resistant (MRSA) and 2 Methicillin sensitive (MSSA) strains of Staphylococcus aureus. Sub-inhibitory concentration of EG at 256 mg l-1 is found to be synergistic when used in combination with tetracycline, mupirocin, and fusidic acid; and a sub-inhibitory concentration of ECG at 32 mg l-1 is found to be synergistic with tetracycline in all the four Staphylococcus aureus strains tested. The synergistic combinations reduce the MICs of all the above three antibiotics by 4 fold. Combining ECG at 32 mg l-1 with mupirocin, reduces the MIC of mupirocin by four fold in MSSA C1 strain. 74 per cent of the combinations show consistent results in both time-kill assay and checkerboard method. The identified combinations may lead towards novel therapeutic interventions for treating MRSA infections.
Frontiers in bioscience (Elite edition) 01/2010; 2:668-72.
[Show abstract][Hide abstract] ABSTRACT: Reporting of influenza-like illness (ILI) from general practice/family doctor (GPFD) clinics is an accurate indicator of real-time epidemic activity and requires little effort to set up, making it suitable for developing countries currently experiencing the influenza A (H1N1-2009) pandemic or preparing for subsequent epidemic waves.
We established a network of GPFDs in Singapore. Participating GPFDs submitted returns via facsimile or e-mail on their work days using a simple, standard data collection format, capturing: gender; year of birth; "ethnicity"; residential status; body temperature (degrees C); and treatment (antiviral or not); for all cases with a clinical diagnosis of an acute respiratory illness (ARI). The operational definition of ILI in this study was an ARI with fever of 37.8 degrees C or more. The data were processed daily by the study co-ordinator and fed into a stochastic model of disease dynamics, which was refitted daily using particle filtering, with data and forecasts uploaded to a website which could be publicly accessed. Twenty-three GPFD clinics agreed to participate. Data collection started on 2009-06-26 and lasted for the duration of the epidemic. The epidemic appeared to have peaked around 2009-08-03 and the ILI rates had returned to baseline levels by the time of writing.
This real-time surveillance system is able to show the progress of an epidemic and indicates when the peak is reached. The resulting information can be used to form forecasts, including how soon the epidemic wave will end and when a second wave will appear if at all.
PLoS ONE 01/2010; 5(4):e10036. · 3.73 Impact Factor