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12?mg/L, respectively [19]. Population incidences of CA and NAC were calculated using denominator data obtained from the 2001 local census. Statistical analyses were performed using spss software, version 15.0 (SPSS Inc., Temozolomide mw Chicago, IL, USA). The results for categorical variables are expressed as a percentage, and numerical data are expressed as the mean (SD), median, and interquartile range for ages. The chi-square test or Fisher��s exact test (two-tailed) were used to compare categorical variables, and an unpaired Student��s t-test was used for continuous variables. Multivariate stepwise logistic regression analysis was carried out to identify predictors of candidaemia due to NAC. p?check details population (2.2 cases per 100?000 population for CA and 2.1 cases per 100?000 population for NAC). Demographics, clinical characteristics, underlying comorbid conditions and the outcome of patients with NAC BSI compared to those with CA BSI are summarized in Table?1. The NAC species isolated included 78 C.?parapsilosis (23%), 34 Candida tropicalis (10%), 29 DDR1 Candida glabrata (8.6%), 12 C.?krusei (3.6%), three Candida kefyr (0.9%), two Candida lusitaniae (0.6%), two Candida guilliermondii (0.6%), one Candida famata (0.3%), one Candida inconspicua (0.3%) and one Candida norvegensis (0.3%). Percentages of in vitro fluconazole and voriconazole resistance among the 339 incident bloodstream isolates of Candida spp. are shown in Table?2. Subgroup analysis for specific Candida spp. showed that patients with C.?albicans fungaemia were admitted more often to surgical wards (25% CA vs. 13.5% NAC; p?0.008), had diabetes mellitus (25% CA vs. 16% NAC; p?0.03) or chronic renal failure (41.5% CA vs. 27.2% NAC; p?0.006) and had been previously colonized with C.?albicans (42.3% CA vs. 20.9% NAC; p?