Complete remission and early death after intensive chemotherapy in patients aged 60 years or older with acute myeloid leukaemia: a web-based application for prediction of outcomes.

Krug U, Röllig C, Koschmieder A, Heinecke A, Sauerland MC, Schaich M, Thiede C, Kramer M, Braess J, Spiekermann K, Haferlach T, Haferlach C, Koschmieder S, Rohde C, Serve H, Wörmann B, Hiddemann W, Ehninger G, Berdel WE, Büchner T, Müller-Tidow C, German Acute Myeloid Leukaemia Cooperative Group, Study Alliance Leukemia Investigators

Research article (journal)

Abstract

About 50% of patients (age >=60 years) who have acute myeloid leukaemia and are otherwise medically healthy (ie, able to undergo intensive chemotherapy) achieve a complete remission (CR) after intensive chemotherapy, but with a substantially increased risk of early death (ED) compared with younger patients. We verified the association of standard clinical and laboratory variables with CR and ED and developed a web-based application for risk assessment of intensive chemotherapy in these patients.Multivariate regression analysis was used to develop risk scores with or without knowledge of the cytogenetic and molecular risk profiles for a cohort of 1406 patients (aged >>=60 years) with acute myeloid leukaemia, but otherwise medically healthy, who were treated with two courses of intensive induction chemotherapy (tioguanine, standard-dose cytarabine, and daunorubicin followed by high-dose cytarabine and mitoxantrone; or with high-dose cytarabine and mitoxantrone in the first and second induction courses) in the German Acute Myeloid Leukaemia Cooperative Group 1999 study. Risk prediction was validated in an independent cohort of 801 patients (aged >60 years) with acute myeloid leukaemia who were given two courses of cytarabine and daunorubicin in the Acute Myeloid Leukaemia 1996 study.Body temperature, age, de-novo leukaemia versus leukaemia secondary to cytotoxic treatment or an antecedent haematological disease, haemoglobin, platelet count, fibrinogen, and serum concentration of lactate dehydrogenase were significantly associated with CR or ED. The probability of CR with knowledge of cytogenetic and molecular risk (score 1) was from 12% to 91%, and without knowledge (score 2) from 21% to 80%. The predicted risk of ED was from 6% to 69% for score 1 and from 7% to 63% for score 2. The predictive power of the risk scores was confirmed in the independent patient cohort (CR score 1, from 10% to 91%; CR score 2, from 16% to 80%; ED score 1, from 6% to 69%; and ED score 2, from 7% to 61%).The scores for acute myeloid leukaemia can be used to predict the probability of CR and the risk of ED in older patients with acute myeloid leukaemia, but otherwise medically healthy, for whom intensive induction chemotherapy is planned. This information can help physicians with difficult decisions for treatment of these patients.Deutsche Krebshilfe and Deutsche Forschungsgemeinschaft.

Details about the publication

JournalLancet
Volume376
Issue9757
Page range2000-2008
StatusPublished
Release year2010
Language in which the publication is writtenEnglish
KeywordsMale; Risk Factors; Germany; Questionnaires; Aged 80 and over; Time Factors; Aged; Regression Analysis; Prognosis; Mitoxantrone; Female; Antineoplastic Combined Chemotherapy Protocols; Internet; Middle Aged; Risk Assessment; Multivariate Analysis; Predictive Value of Tests; Humans; Cytarabine; Remission Induction; Leukemia Myeloid Acute; Daunorubicin; Male; Risk Factors; Germany; Questionnaires; Aged 80 and over; Time Factors; Aged; Regression Analysis; Prognosis; Mitoxantrone; Female; Antineoplastic Combined Chemotherapy Protocols; Internet; Middle Aged; Risk Assessment; Multivariate Analysis; Predictive Value of Tests; Humans; Cytarabine; Remission Induction; Leukemia Myeloid Acute; Daunorubicin

Authors from the University of Münster

Berdel, Wolfgang Eduard
Medical Clinic of Internal Medicine A (Hematology, Oncology, and Oneumology) (Med A)
Koschmieder, Steffen
Medical Clinic of Internal Medicine A (Hematology, Oncology, and Oneumology) (Med A)
Koschmieder, Anja
Medical Clinic of Internal Medicine A (Hematology, Oncology, and Oneumology) (Med A)
Krug, Utz
Medical Clinic of Internal Medicine A (Hematology, Oncology, and Oneumology) (Med A)
Müller-Tidow, Carsten
Medical Clinic of Internal Medicine A (Hematology, Oncology, and Oneumology) (Med A)
Rohde, Christian
Medical Clinic of Internal Medicine A (Hematology, Oncology, and Oneumology) (Med A)
Sauerland, Maria Cristina
Institute of Medical Informatics
Institute of Biostatistics and Clinical Research (IBKF)