TY - JOUR
T1 - A predictive model for the detection of tumor lysis syndrome during AML induction therapy
AU - Mato, Anthony R.
AU - Riccio, Brett E.
AU - Qin, Li
AU - Heitjan, Daniel F.
AU - Carroll, Martin
AU - Loren, Alison
AU - Porter, David L.
AU - Perl, Alexander
AU - Stadtmauer, Edward
AU - Tsai, Donald
AU - Gewirtz, Alan
AU - Luger, Selina M.
PY - 2006/5
Y1 - 2006/5
N2 - Tumor lysis syndrome (TLS) is defined by metabolic derangements occurring in the setting of rapid tumor destruction. In acute myelogenous leukemia (AML), TLS frequency, risk stratification, monitoring, and management strategies are based largely on case series and data from other malignancies. A single-center, retrospective cohort study was conducted to estimate TLS incidence and identify TLS predictive factors in a patient population undergoing myeloid leukemia induction chemotherapy. This study included 194 patients, aged 18-86 years, with AML or advanced myelodysplastic syndrome undergoing primary myeloid leukemia induction chemotherapy. Nineteen patients (9.8%) developed TLS. In univariate analysis, elevated pre-chemotherapy values for uric acid (P < 0.0001), creatinine (P = 0.0025), lactate dehydrogenase (LDH) (P = 0.0001), white blood cell (P = 0.0058), gender (P = 0.0064) and chronic myelomonocytic leukemia history (P = 0.0292) were significant predictors. In multivariate analysis, LDH (P=0.0042), uric acid (P < 0.0001) and gender (P = 0.0073) remained significant TLS predictors. A predictive model was then designed using a scoring system based on these factors. This analysis may lay the groundwork for the development of the first evidence-based guidelines for TLS monitoring and management in this patient population.
AB - Tumor lysis syndrome (TLS) is defined by metabolic derangements occurring in the setting of rapid tumor destruction. In acute myelogenous leukemia (AML), TLS frequency, risk stratification, monitoring, and management strategies are based largely on case series and data from other malignancies. A single-center, retrospective cohort study was conducted to estimate TLS incidence and identify TLS predictive factors in a patient population undergoing myeloid leukemia induction chemotherapy. This study included 194 patients, aged 18-86 years, with AML or advanced myelodysplastic syndrome undergoing primary myeloid leukemia induction chemotherapy. Nineteen patients (9.8%) developed TLS. In univariate analysis, elevated pre-chemotherapy values for uric acid (P < 0.0001), creatinine (P = 0.0025), lactate dehydrogenase (LDH) (P = 0.0001), white blood cell (P = 0.0058), gender (P = 0.0064) and chronic myelomonocytic leukemia history (P = 0.0292) were significant predictors. In multivariate analysis, LDH (P=0.0042), uric acid (P < 0.0001) and gender (P = 0.0073) remained significant TLS predictors. A predictive model was then designed using a scoring system based on these factors. This analysis may lay the groundwork for the development of the first evidence-based guidelines for TLS monitoring and management in this patient population.
KW - Acute myeloid leukemia
KW - Acute renal failure
KW - Hyperuricemia
KW - Tumor lysis syndrome
KW - Urate nephropathy
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U2 - 10.1080/10428190500404662
DO - 10.1080/10428190500404662
M3 - Article
C2 - 16753873
AN - SCOPUS:33744924241
SN - 1042-8194
VL - 47
SP - 877
EP - 883
JO - Leukemia and Lymphoma
JF - Leukemia and Lymphoma
IS - 5
ER -