Risk assessment in acute myeloid leukemia (AML) using pretreatment characteristics may be improved by incorporating parameters of early response to therapy. In the 1992 trial of the German AML Cooperative Group (AMLCG), the amount of residual leukemic blasts in bone marrow was assessed one week after the first induction course (day 16 blasts). A total of 449 patients 16 to 76 years of age (median, 53 years) with de novo AML entered the trial and were evaluable. Treatment included TAD/HAM (thioguanine, cytosine arabinoside, and daunorubicin/high-dose cytosine arabinoside and mitoxantrone) double induction, TAD consolidation, and randomly either maintenance therapy or S-HAM consolidation. Cytogenetics were favorable, intermediate, unfavorable and not available in 10.0%, 48.3%, 13.1%, and 28.5%, respectively. Day 16 blasts ranged from 0% to 100% (median, 5%, mean ± SD, 18.6 ± 28.5%). Complete remission (CR) rate was 72.6%, 17.6% had persistent leukemia (PL), and 9.8% succumbed to hypoplastic death. Median overall survival (OS), event-free survival (EFS), and relapse-free survival (RFS) were 18, 9, and 15 months with 28.4%, 21.6%, and 30.1% at 5 years, respectively. As a continuous variable, day 16 blasts were related to CR rate (P < 0.0001), PL rate (P < 0.0001), OS (P < 0.0001), EFS (P < 0.0001), and RFS (P = 0.0049). Multivariate analyses identified the following parameters to be associated with the respective end points. CR rate: day 16 blasts (P < .0001), age (P = .0036), and LDH (P = .0072); OS: unfavorable cytogenetics (P < .0001), day 16 blasts (P < .0001), age (P < .0001), and LDH (P = .0040); EFS: unfavorable cytogenetics (P < .0001), LDH (P < .0001), day 16 blasts (P < .0001), and age (P = .0061); RFS: unfavorable cytogenetics (P < .0001), LDH (P < .0001), and day 16 blasts (P = .0359). The prognostic significance of day 16 blasts is independent of pretherapeutic parameters and predicts outcome even in patients achieving a CR.

Treatment of patients with newly diagnosed acute myeloid leukemia (AML) has improved during the past decades due to the intensification of induction and postremission chemotherapies and due to the incorporation of autologous and allogeneic transplantation procedures into the first-line management of the disease. Long-term remissions, however, are achieved in a quarter of patients only.1 The prognosis of patients with AML can be estimated based on several patient-specific and disease-related factors among which karyotype abnormalities have the most important independent impact.2,3 Thus, most patients with CBF leukemias including AML associated with t(8;21) and with inv(16)/t(16;16) achieve long-lasting remissions, while in cases with abnormalities of chromosomes 5 and 7 and with complex aberrant karyotypes in particular, the median survival amounts to a few months only. Despite the use of additional prognostic factors such as age and history of preceding hematologic diseases for stratification models, the prognosis of patients within the respective subgroups remains quite heterogeneous and, thus, the prognosis of an individual patient cannot yet be estimated accurately.

To this end a vigorous assessment of treatment effects may further help to define the prognosis of the individual patient and to possibly adapt the intensity of the antileukemic therapy to be applied. Thus, the early quantification of therapy-induced cytoreduction in leukemic bone marrow has been shown to highly correlate with the response to induction therapy in a cohort of patients with newly diagnosed AML.4 Trying to further define the prognosis in individual patients, the quantification of minimal residual disease (MRD) by molecular markers was assessed. However, this approach is limited to cases of AML associated with specific genetic changes such as the translocation PML/RARα in acute promyelocytic leukemia. In these cases, a persisting or recurring positivity for the transcript during remission and the detection of a distinct level of the transcript following consolidation therapy, respectively, are associated with an increased risk of relapse.5-12 Similar approaches are being evaluated for other subgroups of AML, all of which focus on the quantification of the level of disease after patients have achieved a remission.13-17 

In contrast, the early assessment of treatment response of AML has not yet been studied in larger series of AML patients. In childhood acute lymphoblastic leukemia, a rapid decline of leukemic blasts was identified as the most important prognostic factor.18 In AML, however, parameters of responsiveness identified to have a major importance were restricted mainly to the rapidity of achievement of remission19,20 or the achievement of remission by 1 course only,21 while early response to therapy as assessed by residual leukemic bone marrow blasts during aplasia has been shown to have major prognostic impact in 2 reports only.2,22 Thus, the current analysis was aimed at defining the impact of the level of bone marrow blasts 1 week after the end of the first course of induction therapy on the prognosis of patients with de novo AML of all ages treated within the 1992 trial of the German AML Cooperative Group.

Patients

The current analysis is based on patients with newly diagnosed de novo AML who were treated within the prospective randomized multicenter 1992 trial of the German AML Cooperative Group. Patients older than 16 years with newly diagnosed de novo AML were eligible for this trial. Patients with acute promyelocytic leukemia were treated in a separate trial.23 Patients with prior antileukemic treatment, AML secondary to prior chemotherapy, and with AML developing from an antecedent hematologic malignancy were excluded, as were patients with severe comorbidity precluding the initiation of intensive induction chemotherapy (ie, severe uncontrolled infections, coronary heart disease World Health Organization (WHO) grades III°/IV°, congestive heart failure WHO grades III°/IV°, severe hyperbilirubinemia WHO grades III°/IV°, or severe creatinine elevation WHO grades III°/IV° unless due to leukemia). Only patients with both central cytomorphologic review including an evaluation of myelodysplastic features and assessment of residual bone marrow blast cells on day 16 are included in the present analyses.

Antileukemic therapy

Induction.

For remission induction, patients were treated according to the double induction strategy as previously published, with the second course starting on day 21 irrespective of response of the disease to the first course.2 The first course consisted of the TAD combination with standard-dose cytosine arabinoside 100 mg/m2/d continuous infusion on days 1 and 2, 100 mg/m2every 12 hours intravenously as a 1-hour infusion on days 3 to 8, daunorubicin 60 mg/m2 intravenously as a 1-hour infusion on days 3 to 5, and oral thioguanine 100 mg/m2 every 12 hours on days 3 to 9.24 The second course was HAM with high-dose AraC 3 g/m2 (1 g/m2 in patients aged 60 years and older) every 12 hours intravenously as a 3-hour infusion on days 1 to 3 and mitoxantrone 10 mg/m2 intravenously as a 1-hour infusion on days 3 to 5.25 The HAM course was scheduled to be started on day 21 unless patients had severe life-threatening nonhematologic toxicity, in case of which chemotherapy was postponed until resolution of toxicity. The second course of the double induction therapy was applied to patients older than 60 years only if they had residual leukemic blasts of 5% or more in the bone marrow on day 16 (ie, 1 week after completion of the first course).

Consolidation.

Consolidation therapy consisted of 1 course of TAD, which was applied 2 to 4 weeks after achievement of complete remission. Patients with HLA-identical sibling donors subsequently underwent allogeneic bone marrow or peripheral blood stem cell transplantation. All other patients received further treatment according to the randomization performed at study entry. Patients were randomized up-front to 3 years of myelosuppressive maintenance therapy or to a second course of intensive consolidation therapy following TAD consolidation, respectively.

Maintenance.

Maintenance therapy was applied every 4 weeks and consisted of AraC 100 mg/m2 every 12 hours subcutaneously on days 1 to 5 in combination with either daunorubicin 45 mg/m2 on days 2 and 3 (courses 1, 5, 9, etc), thioguanine 100 mg/m2 every 12 hours on days 1 to 5 (courses 2, 4, 6, etc), or cyclophosphamide 1 g/m2 on day 3 (courses 3, 7, 11, etc).20,26Treatment was delayed and doses were reduced for hematologic toxicity according to predefined criteria. Upon achievement of a cumulative dose of daunorubicin of 540 mg/m2, daunorubicin was replaced by thioguanine.

Second course of consolidation.

The second course of consolidation therapy consisted of the sequential high-dose AraC and mitoxantrone (S-HAM) combination27 and was applied 4 to 6 weeks after recovery from hematologic toxicity following TAD consolidation. S-HAM consisted of high-dose AraC (HDAraC) as a 3-hour infusion every 12 hours on days 1, 2, 8, and 9. The dose per application of HDAraC was 1 g/m2 in patients younger than 60 years and 500 mg/m2 in older patients. Mitoxantrone at 10 mg/m2 was applied as a 1-hour infusion on days 3, 4, 10, and 11.

Diagnostics

Cytomorphology.

Cytomorphologic assessment was based on May-Grünwald-Giemsa stains, myeloperoxidase reaction, nonspecific esterase using α-naphtyl-acetate, and chloroacetate-esterase stains. All stainings were performed centrally according to standard procedures.28 AML was diagnosed cytomorphologically according to the criteria of the French-American-British (FAB) classification.29-31 Classification of dysplastic features was performed as described previously in detail.32 The percentage of residual leukemic blasts in the bone marrow was assessed cytomorphologically on day 16 at the respective local institutions (ie, 1 week after completion of the first course of induction therapy).

Cytogenetics.

Cytogenetic analyses were performed centrally according to standard protocols. Cytogenetic data were classified according to the International System for Human Cytogenetic Nomenclature (ISCN).33 Patients were classified into 3 subgroups based on cytogenetics: the group associated with a favorable prognosis included AML with t(8;21), inv(16), or t(16;16); the unfavorable-prognosis group contained AML with aberrations of chromosomes 5 or 7, aberrations of 11q23 or 17p, inv(3), t(3;3), or with a complex aberrant karyotype; the group associated with an intermediate prognosis included AML with other karyotype aberrations as well as AML with a normal karyotype.

Study parameters

Bone marrow examinations were carried out on day 16 (ie, 1 week after the end of chemotherapy) and upon full recovery of peripheral blood counts. Response to therapy was assessed according to Cancer and Leukemia Group B (CALGB) criteria.2,34 Complete remission (CR) was defined by a bone marrow with normal hematopoiesis of all cell lines, fewer than 5% blast cells, and a peripheral blood with at least 1500/μL (1.5 × 109/L) neutrophils and 100 000/μL (100 × 109/L) platelets. Therapeutic failures were classified as persistent leukemia, death fewer than 7 days after completion of the first induction therapy course (early death), and death during treatment-induced bone marrow hypoplasia, irrespective of the time after chemotherapy (hypoplastic death). Cases with early death (death before day 16) were excluded from the present analyses. Relapse was defined as reinfiltration of the bone marrow by 25% or more leukemic blasts or a proven leukemic infiltration at any other site.

Survival was measured by the time from inclusion into the AML Cooperative Group (AMLCG) 1992 study to death, and event-free survival (EFS) was measured by the time from inclusion into the study to death, documentation of persistent leukemia, or relapse, respectively. Relapse-free survival (RFS) was measured by the time from achievement of CR to relapse or death during CR. Freedom from relapse was measured by the time from achievement of CR to relapse. Estimates of time-dependent variables were calculated by the Kaplan-Meier method.35 Patients receiving bone marrow transplantation were censored at the time of transplantation.

Statistics

Univariate and multivariate analyses were performed to evaluate the dependence of the variables CR, persistent leukemia, survival, EFS, and RFS on day 16 blasts as a continuous variable as well as on pretreatment factors that were previously shown to have independent prognostic significance on a similar population (favorable/intermediate/unfavorable cytogenetics as dichotomous covariates; age and lactate dehydrogenase [LDH] as continuous covariates).32 

Univariate and multivariate analyses were performed for time-dependent variables by a proportional hazards model and for dichotomous variables by a logistic regression model using SAS 6.12.36 AllP values reported are 2-sided.

Because the application of the second course of double induction therapy to patients older than 60 years was dependent on achievement of fewer than 5% day 16 blasts, these analyses were performed for the total study population as well as for patients younger than 60 years only to prove the significance of the results in a most homogeneously treated group.

Study conduct

Prior to therapy all patients gave their informed consent for participation in the current evaluation after having been advised about the purpose and investigational nature of the study as well as of potential risks. The study design adhered to the declaration of Helsinki and was approved by the ethics committees of the participating institutions prior to its initiation.

Patients

A total of 787 patients with AML were entered into the German AML Cooperative Group 1992 Trial between December 1992 and May 1999, 449 of whom are fully evaluable for the present analysis. In 152 patients the day 16 marrow was not available due to early death (n = 50) or due to lack of assessment because of reasons not specified (n = 102). In a further 186 patients the bone marrow evaluation at diagnosis had not been centrally reviewed, and these cases are not included in the present analysis. The patients' ages ranged from 16 to 76 years (median, 53 years), and the ratio of male-to-female was 1.02:1.00 (Table 1). Cytogenetic data were available from 321 of 449 patients (71.5%) and were rated favorable in 45 (10.0%) cases, prognostically intermediate in 217 (48.3%), unfavorable in 59 (13.1%), and were not available in 128 (28.5%). The amount of residual leukemic blasts in the bone marrow on day 16 blasts ranged from 0% to 100% (median, 5%; mean ± SD, 18.6% ± 28.5%). The distribution of the percentages of day 16 blasts is shown in Figure 1. AML subtypes according to the FAB classification are listed in Table 1. LDH in serum ranged from 98 U/L to 5220 U/L (median, 422 U/L).

Table 1.

Patient characteristics

Characteristicsn
Sex, M/F 227/222  
Median age, y (range) 53 (16-76) 
Cytogenetics  
 Favorable 45 (10.0%) 
 Intermediate 217 (48.3%)  
 Unfavorable 59 (13.1%) 
 NA 128 (28.5%)  
FAB subtype  
 M0 17 (3.8%) 
 M1 95 (21.2%)  
 M2 151 (33.6%) 
 M4 77 (17.1%)  
 M4Eo 31 (6.9%) 
 M5a 24 (5.3%)  
 M5b 33 (7.3%) 
 M6 16 (3.6%)  
 M7 2 (0.4%)  
 NA 3 (0.7%) 
Median LDH, U/L (range) 422 (98-5220)  
Median bone marrow blasts day 16, % (range) 5% (0%-100%) 
Characteristicsn
Sex, M/F 227/222  
Median age, y (range) 53 (16-76) 
Cytogenetics  
 Favorable 45 (10.0%) 
 Intermediate 217 (48.3%)  
 Unfavorable 59 (13.1%) 
 NA 128 (28.5%)  
FAB subtype  
 M0 17 (3.8%) 
 M1 95 (21.2%)  
 M2 151 (33.6%) 
 M4 77 (17.1%)  
 M4Eo 31 (6.9%) 
 M5a 24 (5.3%)  
 M5b 33 (7.3%) 
 M6 16 (3.6%)  
 M7 2 (0.4%)  
 NA 3 (0.7%) 
Median LDH, U/L (range) 422 (98-5220)  
Median bone marrow blasts day 16, % (range) 5% (0%-100%) 

NA indicates not available.

Fig. 1.

Distribution of the percentages of day 16 blasts.

Fig. 1.

Distribution of the percentages of day 16 blasts.

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Treatment outcome

Of all 449 patients, 326 (72.6%) achieved CR, 79 (17.6%) had persistent leukemia, and 44 (9.8%) died from hypoplastic deaths. The median overall survival (OS) was 18 months (28.4% at 5 years), the median EFS was 9 months (21.6% at 5 years), and the median RFS was 15 months (30.1% at 5 years).

Prognostic impact of day 16 bone marrow blasts

Univariate analyses.

For the total study population, the percentage of day 16 blasts as a continuous variable significantly influenced both response rates and long-term outcome (Table 2). Even in patients having achieved CR, the percentage of day 16 blasts had impact on the prognosis and was significantly associated with the durations of RFS (P = .0049) and of OS (P = .0068).

Table 2.

Association of day 16 residual leukemic bone marrow blasts with response to therapy and long-term outcome

End pointP
Complete remission < .0001  
Persistent leukemia < .0001 
Overall survival < .0001  
Event-free survival < .0001 
Relapse-free survival .0049 
End pointP
Complete remission < .0001  
Persistent leukemia < .0001 
Overall survival < .0001  
Event-free survival < .0001 
Relapse-free survival .0049 

Separation of patients into 2 groups according to day 16 blasts was performed for cutoff values of 5%, 10%, 15%, 20%, and 40%. In all analyses the respective subgroups differed significantly in all end points assessed (data not shown). Separation according to a cutoff of 10% day 16 blasts resulted in a balanced distribution between both subgroups (283 vs 166). The subgroups with fewer than 10% and with 10% or more day 16 blasts had significant differences in response rates and long-term outcome (Table 3 and Figure 2). Also, in cases having achieved CR, the separation of patients according to a cutoff of 10% day 16 blasts resulted in a significantly different long-term outcome. The day 16 blasts had prognostic impact within patients receiving either maintenance therapy or S-HAM as second course of consolidation therapy. Thus, in both study arms day 16 blasts were significantly related to EFS (P < .0001 and P < .0001, respectively), OS (P < .0001 and P < .0001, respectively), and RFS (P = .0994 andP = .0454, respectively). Furthermore, there is no indication that there were differences between patients with fewer than 10% day 16 blasts and those with 10% or more day 16 blasts in the types of second-line therapy (specified in 85.9% vs 78.2%), which possibly could have affected overall survival. Thus, regimens applied included high-dose cytosine arabinoside plus anthracycline with or without fludarabine (51.2% vs 51.4%), standard-dose cytosine arabinoside plus anthracycline with or without etoposide (21.1% vs 21.6%), anthracycline with or without etoposide (12.7% vs 10.8%), and supportive therapy only without antileukemic therapy (15.1% vs 16.2%).

Table 3.

Outcome of patients separated according to a cutoff level of 10% day 16 blasts

Patients with fewer than 10% day 16 blastsPatients with 10% or more day 16 blastsP
Complete remission 83.75% 53.61% < .0001 
Persistent leukemia 2.83% 32.53% < .0001  
Overall survival    
Median, mo 27 11 < .0001  
5-y survival 35.4% 13.7%  
Event-free survival    
Median, mo 14 < .0001  
5-y EFS 27.4% 10.9%  
Overall survival in patients with CR    
Median, mo 37 18 .01972  
5-y survival 40.6% 25.4%  
Relapse-free survival in patients with CR    
Median, mo 19 10 .01035  
5-y RFS 32.9% 20.8%  
Freedom from relapse in patients with CR    
Median, mo 21 10 .01523  
5-y FR 37.1% 27.4%  
Patients with fewer than 10% day 16 blastsPatients with 10% or more day 16 blastsP
Complete remission 83.75% 53.61% < .0001 
Persistent leukemia 2.83% 32.53% < .0001  
Overall survival    
Median, mo 27 11 < .0001  
5-y survival 35.4% 13.7%  
Event-free survival    
Median, mo 14 < .0001  
5-y EFS 27.4% 10.9%  
Overall survival in patients with CR    
Median, mo 37 18 .01972  
5-y survival 40.6% 25.4%  
Relapse-free survival in patients with CR    
Median, mo 19 10 .01035  
5-y RFS 32.9% 20.8%  
Freedom from relapse in patients with CR    
Median, mo 21 10 .01523  
5-y FR 37.1% 27.4%  
Fig. 2.

Overall survival in patients with fewer than 10% and 10% or more day 16 blasts.

Tick marks indicate patients who were alive at last follow-up. Patients undergoing allogeneic transplantation are censored at the time of transplantation.

Fig. 2.

Overall survival in patients with fewer than 10% and 10% or more day 16 blasts.

Tick marks indicate patients who were alive at last follow-up. Patients undergoing allogeneic transplantation are censored at the time of transplantation.

Close modal

Multivariate analyses.

The day 16 blasts were entered into a multivariate model in addition to previously defined independent prognostic factors—that is, unfavorable cytogenetics, intermediate cytogenetics, favorable cytogenetics, age (continuous variable), and LDH (continuous variable).32The day 16 blasts were independently associated with all analyzed end points (Table 4). The day 16 blasts were the parameter resulting in the strongest association with the CR rate (P < .0001). The day 16 blasts had independent prognostic significance even in patients achieving a CR—that is, the day 16 blasts were an independent prognostic parameter for RFS (P = .0359).

Table 4.

Multivariate analysis of associations between prognostic parameters and outcome

End pointParameterP
Complete remission   
 Day 16 blasts < .0001  
 Age .0036 
 LDH .0072  
Overall survival   
 Unfavorable cytogenetics < .0001  
 Day 16 blasts < .0001 
 Age < .0001  
 LDH .0040  
Event-free survival   
 Unfavorable cytogenetics < .0001 
 LDH < .0001  
 Day 16 blasts < .0001 
 Age .0061  
Relapse-free survival   
 Unfavorable cytogenetics < .0001 
 LDH < .0001  
 Day 16 blasts .0359 
End pointParameterP
Complete remission   
 Day 16 blasts < .0001  
 Age .0036 
 LDH .0072  
Overall survival   
 Unfavorable cytogenetics < .0001  
 Day 16 blasts < .0001 
 Age < .0001  
 LDH .0040  
Event-free survival   
 Unfavorable cytogenetics < .0001 
 LDH < .0001  
 Day 16 blasts < .0001 
 Age .0061  
Relapse-free survival   
 Unfavorable cytogenetics < .0001 
 LDH < .0001  
 Day 16 blasts .0359 

Only independent parameters are shown; parameters are sorted in order of significance.

Analyses in cytogenetically defined subgroups.

Within the cytogenetically defined subgroups of patients with prognostically intermediate and unfavorable karyotypes, respectively, day 16 blasts as a continuous variable were significantly associated with CR rate, rate of persistent leukemia, OS, and EFS (Table5). There were no associations between the respective end points and the day 16 blasts within the group of patients with favorable cytogenetics. As depicted in Figures3 and 4, 81 of 217 patients out of the group with prognostically intermediate karyotypes have 10% or more day 16 blasts. The prognosis of these patients is most similar to those cases with prognostically unfavorable karyotypes and fewer than 10% day 16 blasts. In addition, 29 of 59 patients out of the group with prognostically unfavorable karyotypes have 10% or more day 16 blasts and are prone to a particularly dismal prognosis.

Table 5.

Association of day 16 residual leukemic bone marrow blasts with response to therapy and long-term outcome in cytogenetically defined subgroups

End pointCytogenetics
Favorable (n = 45)Intermediate (n = 217)Unfavorable (n = 59)
Complete remission NS P < .0001 P = .0034  
Event-free survival NS P < .0001 P = .0061 
Overall survival NS P = .0002 P = .0418  
Median event-free survival, fewer than 10% versus 10% or more day 16 blasts 25 mo vs NR, NS 14 mo vs 5 mo, P = .00031 6 mo vs 2 mo, P = .00768 
Median overall survival, fewer than 10% versus 10% or more day 16 blasts NR vs NR, NS 26 mo vs 12 mo, P = .00263 11 mo vs 4 mo, P = .02095 
End pointCytogenetics
Favorable (n = 45)Intermediate (n = 217)Unfavorable (n = 59)
Complete remission NS P < .0001 P = .0034  
Event-free survival NS P < .0001 P = .0061 
Overall survival NS P = .0002 P = .0418  
Median event-free survival, fewer than 10% versus 10% or more day 16 blasts 25 mo vs NR, NS 14 mo vs 5 mo, P = .00031 6 mo vs 2 mo, P = .00768 
Median overall survival, fewer than 10% versus 10% or more day 16 blasts NR vs NR, NS 26 mo vs 12 mo, P = .00263 11 mo vs 4 mo, P = .02095 

Univarite analyses for correlation of day 16 blasts as a continuous variable with the respective end points were performed within the respective groups with favorable, prognostically intermediate, and unfavorable cytogenetics. In addition, median event-free survival and median overall survival are shown for the respective cyogenetically defined risk groups as separated according to fewer than 10% versus 10% or more day 16 blasts. NS indicates not significant; NR, not reached.

Fig. 3.

EFS in patients with the respective cytogenetically defined risk group separated according to day 16 blasts fewer than 10% versus 10% or more.

I indicates favorable cytogenetics and day 16 blasts fewer than 10% (n = 39, censored = 18; median, 25 months); II, favorable cytogenetics and day 16 blasts 10% or more (n = 6, censored = 5; median, not reached); III, prognostically intermediate cytogenetics and day 16 blasts fewer than 10% (n = 136, censored = 56; median, 14 months); IV, prognostically intermediate cytogenetics and day 16 blasts 10% or more (n = 81, censored = 24; median, 5 months); V, unfavorable cytogenetics and day 16 blasts fewer than 10% (n = 30, censored = 1; median, 6 months); VI, unfavorable cytogenetics and day 16 blasts 10% or more (n = 29, censored = 3; median, 2 months). The level of significance of the respective differences according to fewer than 10% versus 10% or more day 16 blasts within the groups with favorable, prognostically intermediate, and unfavorable cytogenetics are nonsignificant (ns),P = .00031 and P = .00768, respectively.

Fig. 3.

EFS in patients with the respective cytogenetically defined risk group separated according to day 16 blasts fewer than 10% versus 10% or more.

I indicates favorable cytogenetics and day 16 blasts fewer than 10% (n = 39, censored = 18; median, 25 months); II, favorable cytogenetics and day 16 blasts 10% or more (n = 6, censored = 5; median, not reached); III, prognostically intermediate cytogenetics and day 16 blasts fewer than 10% (n = 136, censored = 56; median, 14 months); IV, prognostically intermediate cytogenetics and day 16 blasts 10% or more (n = 81, censored = 24; median, 5 months); V, unfavorable cytogenetics and day 16 blasts fewer than 10% (n = 30, censored = 1; median, 6 months); VI, unfavorable cytogenetics and day 16 blasts 10% or more (n = 29, censored = 3; median, 2 months). The level of significance of the respective differences according to fewer than 10% versus 10% or more day 16 blasts within the groups with favorable, prognostically intermediate, and unfavorable cytogenetics are nonsignificant (ns),P = .00031 and P = .00768, respectively.

Close modal
Fig. 4.

OS in patients with the respective cytogenetically defined risk group separated according to day 16 blasts less than 10% versus 10% or more.

I indicates favorable cytogenetics and day 16 blasts fewer than 10% (n = 39, censored = 26; median, nr); II, favorable cytogenetics and day 16 blasts 10% or more (n = 6, censored = 5; median, nr); III, prognostically intermediate cytogenetics and day 16 blasts fewer than 10% (n = 136, censored = 64; median, 26 months); IV, prognostically intermediate cytogenetics and day 16 blasts 10% or more (n = 81, censored = 33; median, 12 months); V, unfavorable cytogenetics and day 16 blasts fewer than 10% (n = 30, censored = 10; median, 11 months); VI, unfavorable cytogenetics and day 16 blasts 10% or more (n = 29, censored = 7; median, 4 months). The level of significance of the respective differences according to fewer than 10% versus 10% or more day 16 blasts within the groups with favorable, prognostically intermediate, and unfavorable cytogenetics are ns,P = .00263 and P = .02095, respectively.

Fig. 4.

OS in patients with the respective cytogenetically defined risk group separated according to day 16 blasts less than 10% versus 10% or more.

I indicates favorable cytogenetics and day 16 blasts fewer than 10% (n = 39, censored = 26; median, nr); II, favorable cytogenetics and day 16 blasts 10% or more (n = 6, censored = 5; median, nr); III, prognostically intermediate cytogenetics and day 16 blasts fewer than 10% (n = 136, censored = 64; median, 26 months); IV, prognostically intermediate cytogenetics and day 16 blasts 10% or more (n = 81, censored = 33; median, 12 months); V, unfavorable cytogenetics and day 16 blasts fewer than 10% (n = 30, censored = 10; median, 11 months); VI, unfavorable cytogenetics and day 16 blasts 10% or more (n = 29, censored = 7; median, 4 months). The level of significance of the respective differences according to fewer than 10% versus 10% or more day 16 blasts within the groups with favorable, prognostically intermediate, and unfavorable cytogenetics are ns,P = .00263 and P = .02095, respectively.

Close modal

Analysis of patients younger than 60 years only.

In patients younger than 60 years who were treated with both courses of double induction therapy independent of the percentage of day 16 blasts, the prognostic significance of day 16 blasts was proved. Thus, the day 16 blasts as a continuous variable were highly correlated with response to therapy as well as long-term outcome in univariate analyses (Table 6) and prove to be of independent and major prognostic significance for all end points in multivariate analyses (Table 7).

Table 6.

Association of day 16 residual leukemic bone marrow blasts with response to therapy and long-term outcome in patients younger than 60 years only

End pointP
Complete remission < .0001  
Persistent leukemia < .0001 
Overall survival < .0001  
Event-free survival < .0001 
Relapse-free survival .0029 
End pointP
Complete remission < .0001  
Persistent leukemia < .0001 
Overall survival < .0001  
Event-free survival < .0001 
Relapse-free survival .0029 
Table 7.

Multivariate analysis of associations between prognostic parameters and outcome in patients younger than 60 years only

End pointParameterP
Complete remission   
 Day 16 blasts < .0001  
 Age .0096  
Overall survival   
 Day 16 blasts .0016  
 Age .0030 
 Unfavorable cytogenetics .0037  
 LDH .0064 
Event-free survival   
 Unfavorable cytogenetics < .0001  
 Day 16 blasts < .0001 
 LDH .0002  
Relapse-free survival   
 Unfavorable cytogenetics < .0001 
 LDH < .0001  
 Day 16 blasts .0416 
End pointParameterP
Complete remission   
 Day 16 blasts < .0001  
 Age .0096  
Overall survival   
 Day 16 blasts .0016  
 Age .0030 
 Unfavorable cytogenetics .0037  
 LDH .0064 
Event-free survival   
 Unfavorable cytogenetics < .0001  
 Day 16 blasts < .0001 
 LDH .0002  
Relapse-free survival   
 Unfavorable cytogenetics < .0001 
 LDH < .0001  
 Day 16 blasts .0416 

Only independent parameters are shown; parameters are sorted in order of significance.

Despite the use of stratification models for the treatment of patients with AML that are based mainly on pretherapeutic prognostic parameters such as cytogenetics and age, the prognosis of patients within the respective groups remains heterogeneous. In contrast, the early assessment of response to therapy represents an in vivo assessment of chemosensitivity and may be a powerful tool to delineate the prognosis in individual patients, as has been demonstrated for childhood acute lymphoblastic leukemias and osteosarcomas.18,37 As a consequence, this measure may be implemented into treatment decision strategies. Accordingly, to improve the stratification models used in AML, the current study aimed at defining therapy-dependent prognostic parameters. Along this line, the amount of residual leukemic blasts 1 week after the end of the first course of induction therapy (ie, on day 16) proved to be of major prognostic significance with regard to all analyzed end points independently of previously defined pretherapeutic prognostic parameters. Thus, highly significant correlations exist between day 16 blasts and CR rate, rate of persistent leukemia, OS, EFS, and RFS. As might have been anticipated, day 16 blasts were the factor having the strongest association with the CR rate and with the rate of persistent leukemia. In contrast, with regard to end points reflecting the long-term outcome (ie, OS, EFS, and RFS), unfavorable cytogenetics was the most important factor. However, day 16 blasts still had independent prognostic significance. In particular, the influence of day 16 blasts was not limited to the initial treatment phase but was also demonstrated for the long-term outcome. Thus, besides the influence on OS and EFS, both being closely connected with the CR rate, day 16 blasts also affected the outcome of patients having achieved a CR as demonstrated by the independent impact on the RFS. Furthermore, univariate and multivariate analyses limited to patients younger than 60 years who were uniformly treated by 2 courses of double induction therapy irrespective of response to the first course proved the significant correlation of day 16 blasts with all end points analyzed as well as the independent prognostic significance of day 16 blasts. These results are in accordance with analyses performed during a previous trial of the German AMLCG demonstrating an independent prognostic significance of day 16 blasts on OS and on RFS in patients 16 to 60 years of age.2 

The present analyses are based on a large study population with no upper age limit (median age, 53 years). Besides the diagnosis of de novo AML there were no further limitations to the eligibility of the patients. Thus, the distribution of cytogenetically defined subgroups rather reflects the pattern observed in population-based analyses38,39 and suggests that the prognostic significance of day 16 blasts applies generally to patients with de novo AML. In fact, analyses within cytogenetically defined subgroups confirm the importance of day 16 blasts. The day 16 blasts had no impact on the outcome of patients with favorable karyotype abnormalities; however, due to the overall superior outcome of these patients, the identification of an additional prognostic parameter is rather unlikely. Underlining the importance for the patients with de novo AML in general, the day 16 blasts were significantly associated with all analyzed end points within both the prognostically intermediate and the prognostically unfavorable subgroups. Thus, even in the group of 59 patients with unfavorable cytogenetics the prognosis was heterogeneous and was related to day 16 blasts not only with regard to the CR rate (P = .0034) but also with regard to OS and EFS (P = .0418 and P = .0061, respectively).

Previous analyses dealing with the leukemic cell mass have focused on the prognostic relevance of the white blood cell (WBC) count at presentation of the patients. However, only limited efforts were made to characterize the dynamics of their elimination. Thus, a hyperleukocytosis has been identified to be associated with a higher early death rate and an inferior OS.40-44 These associations have been confirmed in some multivariate analyses.45-48 

In contrast, there are only a few studies addressing issues similar to those in the present analysis. The rapidity of achievement of CR has been identified to influence the patients' outcome in 2 studies. Thus, it was demonstrated that patients achieving a CR within 30 days of the start of antileukemic therapy had a superior remission duration compared with other patients (n = 156;P = .017).20 Similarly, there was a strong inverse correlation between time to achievement of CR and RFS (n = 1101; P < .001), and a duration to achievement of CR of more than 50 days was associated with a long-term outcome resembling that of patients with resistant disease, while other patients had a strikingly superior outcome (n = 1101).19 

The present data are in agreement with those reported from the Medical Research Council (MRC) AML 10 trial49 where the response to the first course of induction therapy has been identified as an independent prognostic factor in a large study population of 1711 patients up to 55 years of age. The MRC therefore incorporated early response together with cytogenetics into a prognostic test discriminating 3 subgroups with highly differing outcomes.21 In the MRC AML 10 trial, the response had been categorized into 3 groups according to bone marrow blast counts of fewer than 5%, 5% to 15%, and more than 15% as assessed 2 weeks after completion of induction therapy. As in the present analysis, these categories did not influence the outcome of patients with prognostically favorable cytogenetics but affected the outcome of patients within both the intermediate and unfavorable groups.

Based on the current data, the day 16 blasts represent a highly independent and sensitive prognostic factor and may be used for the stratification of treatment early enough before the second course of a double induction regimen. Clearly, this parameter allows the refinement but not the replacement of the most important system for a prognostically based classification of patients with AML (ie, the grouping according to karyotype abnormalities).3,33,50 The monitoring of early reduction of the leukemic cell burden may be further improved by methods more sensitive and reproducible than cytomorphology, such as immunopenotyping using multiparameter flow cytometry.51,52 Both methods are applied in parallel within the ongoing trial of the German AMLCG to accomplish a comparative analysis.

Appendix: Centers participating in the German AML Cooperative Group

University Hospital Aachen: T. H. Ittel; University Hospital Berlin-Buch: W. D. Ludwig; University Hospital Berlin-Steglitz: E. Thiel; Krankenhaus Neukölln, Berlin: A. Grüneisen; Franziskus-Hospital Bielefeld: H. J. Weh; Zentralkrankenhaus St. Jürgens, Bremen: U. Kubica; Krankenhaus Düren: J. Karow; University Hospital Düsseldorf: C. Aul; St.-Antonius-Hospital Eschweiler: R. Fuchs; University Hospital Göttingen: W. Hiddemann; Städtisches Krankenhaus Gütersloh: R. Depenbusch; Katholisches Krankenhaus Hagen: H. Eimermacher; Städtisches Krankenhaus Martha-Maria, Halle: U. Haak; Allgemeines Krankenhaus Altona, Hamburg: D. Braumann; Evangelisches Krankenhaus Hamm: A. Grote-Metke; Kreiskrankenhaus Herford: U. Schmitz-Hübner; Städtische Kliniken Kassel: W. D. Hirschmann; University Hospital Kiel: H. Löffler; University Hospital Köln: P. Staib; Städtische Krankenanstalten Krefeld: M. Planker; Dreifaltigkeits-Hospital Lippstadt: K. A. Jost; Städtisches Krankenhaus Süd, Lübeck: H. Bartels; Klinikum der Stadt Ludwigshafen: M. Baldus; University Hospital Mannheim: E. Lengfelder; Krankenhaus Maria Hilf, Mönchengladbach: H. E. Reis; University Hospital Münster: T. Büchner; Paracelsusklinik Osnabrück: O. M. Koch; Städtisches Krankenhaus Osnabrück: T. Hegge; University Hospital Regensburg: A. Reichle; Klinikum Landeshauptstadt Wiesbaden: H. G. Fuhr; St-Willehad-Hospital Wilhelmshaven W. Augener; Heinrich-Braun-Krankenhaus Zwickau: G. Schott.

Prepublished online as Blood First Edition Paper, June 28, 2002; DOI 10.1182/blood-2002-02-0532.

A complete list of the members of the German AML Cooperative Group appears in the “Appendix.”

W.K. and T.H. contributed equally to this work.

The publication costs of this article were defrayed in part by page charge payment. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 U.S.C. section 1734.

1
Burnett
AK
Tailoring the treatment of acute myeloid leukemia.
Curr Opin Hematol.
6
1999
247
252
2
Buchner
T
Hiddemann
W
Wormann
B
et al
Double induction strategy for acute myeloid leukemia: the effect of high-dose cytarabine with mitoxantrone instead of standard-dose cytarabine with daunorubicin and 6-thioguanine: a randomized trial by the German AML Cooperative Group.
Blood.
93
1999
4116
4124
3
Grimwade
D
Walker
H
Oliver
F
et al
The importance of diagnostic cytogenetics on outcome in AML: analysis of 1,612 patients entered into the MRC AML 10 trial. The Medical Research Council Adult and Children's Leukaemia Working Parties.
Blood.
92
1998
2322
2333
4
Hiddemann
W
Clarkson
BD
Buchner
T
Melamed
MR
Andreeff
M
Bone marrow cell count per cubic millimeter bone marrow: a new parameter for quantitating therapy-induced cytoreduction in acute leukemia.
Blood.
59
1982
216
225
5
Burnett
AK
Grimwade
D
Solomon
E
Wheatley
K
Goldstone
AH
Presenting white blood cell count and kinetics of molecular remission predict prognosis in acute promyelocytic leukemia treated with all-trans retinoic acid: result of the Randomized MRC Trial.
Blood.
93
1999
4131
4143
6
Sanz
MA
Martin
G
Rayon
C
et al
A modified AIDA protocol with anthracycline-based consolidation results in high antileukemic efficacy and reduced toxicity in newly diagnosed PML/RARα-positive acute promyelocytic leukemia. PETHEMA group.
Blood.
94
1999
3015
3021
7
Koller
E
Karlic
H
Krieger
O
et al
Early detection of minimal residual disease by reverse transcriptase polymerase chain reaction predicts relapse in acute promyelocytic leukemia.
Ann Hematol.
70
1995
75
78
8
Ikeda
K
Sasaki
K
Tasaka
T
et al
PML-RAR α fusion transcripts by RNA PCR in acute promyelocytic leukemia in remission and its correlation with clinical outcome.
Int J Hematol.
60
1994
197
205
9
Korninger
L
Knobl
P
Laczika
K
et al
PML-RAR α PCR positivity in the bone marrow of patients with APL precedes haematological relapse by 2-3 months.
Br J Haematol.
88
1994
427
431
10
Laczika
K
Mitterbauer
G
Korninger
L
et al
Rapid achievement of PML-RAR α polymerase chain reaction (PCR)-negativity by combined treatment with all-trans-retinoic acid and chemotherapy in acute promyelocytic leukemia: a pilot study.
Leukemia.
8
1994
1
5
11
Miller
WH
Jr
Levine
K
DeBlasio
A
Frankel
SR
Dmitrovsky
E
Warrell
RP
Jr
Detection of minimal residual disease in acute promyelocytic leukemia by a reverse transcription polymerase chain reaction assay for the PML/RAR-α fusion mRNA.
Blood.
82
1993
1689
1694
12
de The
H
Lavau
C
Marchio
A
Chomienne
C
Degos
L
Dejean
A
The PML-RAR α fusion mRNA generated by the t(15;17) translocation in acute promyelocytic leukemia encodes a functionally altered RAR.
Cell.
66
1991
675
684
13
Krauter
J
Wattjes
MP
Nagel
S
et al
Real-time RT-PCR for the detection and quantification of AML1/MTG8 fusion transcripts in t(8;21)-positive AML patients.
Br J Haematol.
107
1999
80
85
14
Mitterbauer
G
Zimmer
C
Fonatsch
C
et al
Monitoring of minimal residual leukemia in patients with MLL-AF9 positive acute myeloid leukemia by RT-PCR.
Leukemia.
13
1999
1519
1524
15
Elmaagacli
AH
Beelen
DW
Kroll
M
Trzensky
S
Stein
C
Schaefer
UW
Detection of CBFβ/MYH11 fusion transcripts in patients with inv(16) acute myeloid leukemia after allogeneic bone marrow or peripheral blood progenitor cell transplantation.
Bone Marrow Transplant.
21
1998
159
166
16
Kwong
YL
Chan
V
Wong
KF
Chan
TK
Use of the polymerase chain reaction in the detection of AML1/ETO fusion transcript in t(8;21).
Cancer.
75
1995
821
825
17
Nucifora
G
Larson
RA
Rowley
JD
Persistence of the 8;21 translocation in patients with acute myeloid leukemia type M2 in long-term remission.
Blood.
82
1993
712
715
18
Panzer-Grumayer
ER
Schneider
M
Panzer
S
Fasching
K
Gadner
H
Rapid molecular response during early induction chemotherapy predicts a good outcome in childhood acute lymphoblastic leukemia.
Blood.
95
2000
790
794
19
Estey
EH
Shen
Y
Thall
PF
Effect of time to complete remission on subsequent survival and disease-free survival time in AML, RAEB-t, and RAEB.
Blood.
95
2000
72
77
20
Buchner
T
Urbanitz
D
Hiddemann
W
et al
Intensified induction and consolidation with or without maintenance chemotherapy for acute myeloid leukemia (AML): two multicenter studies of the German AML Cooperative Group.
J Clin Oncol.
3
1985
1583
1589
21
Wheatley
K
Burnett
AK
Goldstone
AH
et al
A simple, robust, validated and highly predictive index for the determination of risk-directed therapy in acute myeloid leukaemia derived from the MRC AML 10 trial. United Kingdom Medical Research Council's Adult and Childhood Leukaemia Working Parties.
Br J Haematol.
107
1999
69
79
22
Preisler
HD
Priore
R
Azarnia
N
et al
Prediction of response of patients with acute nonlymphocytic leukaemia to remission induction therapy: use of clinical measurements.
Br J Haematol.
63
1986
625
636
23
Lengfelder
E
Reichert
A
Schoch
C
et al
Double induction strategy including high dose cytarabine in combination with all-trans retinoic acid: effects in patients with newly diagnosed acute promyelocytic leukemia. German AML Cooperative Group.
Leukemia.
14
2000
1362
1370
24
Buchner
T
Urbanitz
D
Emmerich
B
et al
Multicentre study on intensified remission induction therapy for acute myeloid leukemia.
Leuk Res.
6
1982
827
831
25
Hiddemann
W
Kreutzmann
H
Straif
K
et al
High-dose cytosine arabinoside and mitoxantrone: a highly effective regimen in refractory acute myeloid leukemia.
Blood.
69
1987
744
749
26
Buchner
T
Hiddemann
W
Wormann
B
et al
Longterm effects of prolonged maintenance and of very early intensification chemotherapy in AML: data from AMLCG.
Leukemia.
6(suppl 2)
1992
68
71
27
Kern
W
Schleyer
E
Unterhalt
M
Wormann
B
Buchner
T
Hiddemann
W
High antileukemic activity of sequential high dose cytosine arabinoside and mitoxantrone in patients with refractory acute leukemias: results of a clinical phase II study.
Cancer.
79
1997
59
68
28
Loffler
H
Kayser
W
Schmitz
N
et al
Morphological and cytochemical classification of adult acute leukemias in two multicenter studies in the Federal Republic of Germany.
Hamatol Bluttransfus.
30
1987
21
27
29
Bennett
JM
Catovsky
D
Daniel
MT
et al
Proposal for the recognition of minimally differentiated acute myeloid leukaemia (AML-MO) [see comments].
Br J Haematol.
78
1991
325
329
30
Bennett
JM
Catovsky
D
Daniel
MT
et al
Proposed revised criteria for the classification of acute myeloid leukemia: a report of the French-American-British Cooperative Group.
Ann Intern Med.
103
1985
620
625
31
Bennett
JM
Catovsky
D
Daniel
MT
et al
Proposals for the classification of the acute leukaemias. French- American-British (FAB) co-operative group.
Br J Haematol.
33
1976
451
458
32
Haferlach
T
Schoch
C
Loffler
H
et al
Cytomorphology and cytogenetics in de novo AML: importance for the definition of biological entities [abstract].
Blood.
94
1999
291a
33
Schoch
C
Haferlach
T
Haase
D
et al
Patients with de novo acute myeloid leukaemia and complex karyotype aberrations show a poor prognosis despite intensive treatment: a study of 90 patients.
Br J Haematol.
112
2001
118
126
34
Mayer
RJ
Davis
RB
Schiffer
CA
et al
Intensive postremission chemotherapy in adults with acute myeloid leukemia: Cancer and Leukemia Group B.
N Engl J Med.
331
1994
896
903
35
Kaplan
EL
Meier
P
Nonparametric estimation from incomplete observations.
J Am Stat Assoc.
53
1958
457
481
36
SAS/STAT User's Guide, Version 6. Vol 1.2. 4th ed.
1989
SAS Institute
Cary, NC
37
Bacci
G
Ferrari
S
Delepine
N
et al
Predictive factors of histologic response to primary chemotherapy in osteosarcoma of the extremity: study of 272 patients preoperatively treated with high-dose methotrexate, doxorubicin, and cisplatin.
J Clin Oncol.
16
1998
658
663
38
Proctor
SJ
Taylor
PR
Age cohort subgroups in adult acute myeloid leukaemia studies—the population perspective.
Leukemia.
15
2001
188
189
39
Mauritzson
N
Johansson
B
Albin
M
et al
Survival time in a population-based consecutive series of adult acute myeloid leukemia—the prognostic impact of karyotype during the time period 1976-1993.
Leukemia.
14
2000
1039
1043
40
Tucker
J
Thomas
AE
Gregory
WM
et al
Acute myeloid leukemia in elderly adults.
Hematol Oncol.
8
1990
13
21
41
O'Brien
S
Kantarjian
HM
Keating
M
et al
Association of granulocytosis with poor prognosis in patients with acute myelogenous leukemia and translocation of chromosomes 8 and 21.
J Clin Oncol.
7
1989
1081
1086
42
Ventura
GJ
Hester
JP
Smith
TL
Keating
MJ
Acute myeloblastic leukemia with hyperleukocytosis: risk factors for early mortality in induction.
Am J Hematol.
27
1988
34
37
43
Dutcher
JP
Schiffer
CA
Wiernik
PH
Hyperleukocytosis in adult acute nonlymphocytic leukemia: impact on remission rate and duration, and survival.
J Clin Oncol.
5
1987
1364
1372
44
Estey
EH
Keating
MJ
McCredie
KB
Bodey
GP
Freireich
EJ
Causes of initial remission induction failure in acute myelogenous leukemia.
Blood.
60
1982
309
315
45
Ferrara
F
Mirto
S
Serum LDH value as a predictor of clinical outcome in acute myelogenous leukaemia of the elderly.
Br J Haematol.
92
1996
627
631
46
Melillo
L
Cascavilla
N
Lombardi
G
Carotenuto
M
Musto
P
Prognostic relevance of serum β 2-microglobulin in acute myeloid leukemia.
Leukemia.
6
1992
1076
1078
47
Slingerland
JM
Minden
MD
Benchimol
S
Mutation of the p53 gene in human acute myelogenous leukemia.
Blood.
77
1991
1500
1507
48
Geller
RB
Zahurak
M
Hurwitz
CA
et al
Prognostic importance of immunophenotyping in adults with acute myelocytic leukaemia: the significance of the stem-cell glycoprotein CD34 (My10) [see comments].
Br J Haematol.
76
1990
340
347
49
Burnett
AK
Goldstone
AH
Stevens
RM
et al
Randomised comparison of addition of autologous bone-marrow transplantation to intensive chemotherapy for acute myeloid leukaemia in first remission: results of MRC AML 10 trial: UK Medical Research Council Adult and Children's Leukaemia Working Parties.
Lancet.
351
1998
700
708
50
Slovak
ML
Kopecky
KJ
Cassileth
PA
et al
Karyotypic analysis predicts outcome of preremission and postremission therapy in adult acute myeloid leukemia: a Southwest Oncology Group/Eastern Cooperative Oncology Group Study.
Blood.
96
2000
4075
4083
51
Kern
W
Danhauser-Riedl
S
Schnittger
S
et al
Identification of leukemia-associated immunophenotypes in 100 percent of patients with acute myeloid leukemia by multiparameter flow cytometry and follow-up assessment of minimal residual disease [abstract].
Blood.
98
2001
583a
52
San Miguel
JF
Vidriales
MB
Lopez-Berges
C
et al
Early immunophenotypical evaluation of minimal residual disease in acute myeloid leukemia identifies different patient risk groups and may contribute to postinduction treatment stratification.
Blood.
98
2001
1746
1751

Author notes

Wolfgang Kern, Ludwig-Maximilians-University, University Hospital Grosshadern, Department of Internal Medicine III, 81366 Muenchen, Germany; e-mail:wolfgang.kern@med3.med.uni-muenchen.de.

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