Lay Wai Khin

National University of Singapore, Tumasik, Singapore

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Publications (2)9.57 Total impact

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    ABSTRACT: OBJECTIVES: The underlying mechanism for amphotericin B-induced acute kidney injury (AKI) remains poorly understood and may be immunologically mediated. We assessed whether the development of nephrotoxicity is linked to a distinct cytokine profile in patients receiving amphotericin B deoxycholate (AmBD). PATIENTS AND METHODS: In 58 patients who received AmBD, circulating serum interleukin (IL)-6, IL-8 and IL-10 were measured at baseline, week 1 and week 2 of antifungal treatment and correlated to the development of renal impairment. The Cox proportional hazards model approach was adopted for analysis. RESULTS: The P value was 0.026 for the overall effect of IL-6 on time to development of AKI. An increasing or non-receding IL-6 trend by week 1 of AmBD treatment (followed by a decreasing or non-receding IL-6 trend from week 1 to week 2) correlated with an increased likelihood of nephrotoxicity [hazard ratio (HR) 6.93, P value 0.005 and HR 3.46, P value 0.035, respectively]. Similarly, persistently increasing IL-8 levels were linked to a 3.84-fold increased likelihood of AKI. CONCLUSIONS: In patients receiving AmBD, persistence of an elevated pro-inflammatory cytokine milieu is associated with a predisposition to drug-related kidney injury.
    Journal of Antimicrobial Chemotherapy 04/2013; 68(7). DOI:10.1093/jac/dkt055 · 5.34 Impact Factor
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    ABSTRACT: The monitoring and prediction of treatment responses to invasive aspergillosis (IA) are difficult. We determined whether serum galactomannan index (GMI) trends early in the course of disease may be useful in predicting eventual clinical outcomes. For the subjects recruited into the multicenter Global Aspergillosis Study, serial GMIs were measured at baseline and at weeks 1, 2, and 4 following antifungal treatment. Clinical response and survival at 12 weeks were the outcome measures. GMI trends were analyzed by using the generalized estimation equation approach. GMI cutoffs were evaluated by using receiver-operating curve analyses incorporating pre- and posttest probabilities. Of the 202 study patients diagnosed with IA, 71 (35.1%) had a baseline GMI of ≥ 0.5. Week 1 GMI was significantly lower for the eventual responders to treatment at week 12 than for the nonresponders (GMIs of 0.62 ± 0.12 and 1.15 ± 0.22, respectively; P = 0.035). A GMI reduction of >35% between baseline and week 1 predicted a probability of a satisfactory clinical response. For IA patients with pretreatment GMIs of <0.5 (n = 131; 64.9%), GMI ought to remain low during treatment, and a rising absolute GMI to >0.5 at week 2 despite antifungal treatment heralded a poor clinical outcome. Here, every 0.1-unit increase in the GMI between baseline and week 2 increased the likelihood of an unsatisfactory clinical response by 21.6% (P = 0.018). In summary, clinical outcomes may be anticipated by charting early GMI trends during the first 2 weeks of antifungal therapy. These findings have significant implications for the management of IA.
    Journal of clinical microbiology 05/2012; 50(7):2330-6. DOI:10.1128/JCM.06513-11 · 4.23 Impact Factor