Uric Acid and the Prediction Models of Tumor Lysis Syndrome in AML

A Ahsan Ejaz, Negiin Pourafshar, Rajesh Mohandas, Bryan A Smallwood, Richard J Johnson and Jack W Hsu

PLOS ONE, 2015, vol. 10, issue 3, 1-11

Abstract: We investigated the ability of serum uric acid (SUA) to predict laboratory tumor lysis syndrome (LTLS) and compared it to common laboratory variables, cytogenetic profiles, tumor markers and prediction models in acute myeloid leukemia patients. In this retrospective study patients were risk-stratified for LTLS based on SUA cut-off values and the discrimination ability was compared to current prediction models. The incidences of LTLS were 17.8%, 21% and 62.5% in the low, intermediate and high-risk groups, respectively. SUA was an independent predictor of LTLS (adjusted OR 1.12, CI95% 1.0–1.3, p = 0.048). The discriminatory ability of SUA, per ROC curves, to predict LTLS was superior to LDH, cytogenetic profile, tumor markers and the combined model but not to WBC (AUCWBC 0.679). However, in comparisons between high-risk SUA and high-risk WBC, SUA had superior discriminatory capability than WBC (AUCSUA 0.664 vs. AUCWBC 0.520; p

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0119497

DOI: 10.1371/journal.pone.0119497

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