Suzy Morton1, Mallika Sekhar2, Heather Smethurst3, Ana Mora3, Renate L Hodge4, Cara L Hudson5, Joseph Parsons6, Valerie Hopkins3, Simon J Stanworth7. 1. Department of Clinical Haematology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom. B15 2WB; Medical Department, NHS Blood and Transplant, Birmingham, United Kingdom. B15 2SG. suzy.morton@nhsbt.nhs.uk. 2. Department of Haematology, University College London Hospitals NHS Foundation Trust, London, United Kingdom. NW1 2BU; Royal Free London NHS Foundation Trust, Department of Haematology, London, United Kingdom. NW3 2QG. 3. Clinical Trials Unit, NHS Blood and Transplant, Cambridge, United Kingdom. CB2 0PT. 4. Clinical Trials Unit, NHS Blood and Transplant, Cambridge, . 5. Clinical Trials Unit, NHS Blood and Transplant, Bristol,. 6. Clinical Trials Unit, NHS Blood and Transplant, Bristol, United Kingdom. BS34 8RR. 7. Department of Clinical Haematology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom. OX3 9BQ; Clinical Department, NHS Blood and Transplant, Oxford, United Kingdom. OX3 9BQ; Radcliffe Department of Medicine, University of Oxford, and NIHR Oxford Biomedical Research Centre.
Patients with acute myeloid leukemia (AML) on intensive treatment are dependent on red blood cell (RBC) transfusion, but the evidence base defining optimal transfusion threshold support in AML is very weak. We conducted a multicenter, randomized controlled feasibility trial in patients transfused below 70 (restrictive, R) or 90g/L (liberal, L) hemoglobin. The aim of the study was to assess the feasibility of randomizing to two hemoglobin thresholds in the setting of AML and assessing quality of life (QoL) among participants. We incorporated a novel crossover design between cycles of intensive chemotherapy, thus allowing patients to serve as their own control, and assessed QoL at multiple intervals.Patients were eligible if ≥18 years, and treated with curative intent for newly diagnosed or relapsed AML, or myelodysplasia with excess of blasts (MDS-EB). Patients with prior MDS were excluded. Participants were randomized (1:1, web-based service, stratified by center) by day 5 of chemotherapy in cycle 1, to restrictive transfusion (threshold 70 g/L; target 71-80 g/L) or liberal transfusion (threshold 90 g/L, target 91-100 g/L); participants then crossed over to the alternative policy for the second cycle (groups R/L and L/R, respectively). Follow-up was until the end of the second cycle, or 42 days from start of cycle two, whichever was earlier.Baseline characteristics.Pretransfusion hemoglobin.Primary outcomes were: i) percentage pretransfusion hemoglobins below threshold of the assigned strategy (predefined compliance ≥70%); and ii) difference of at least 15g/L between mean pretransfusion hemoglobin in the two strategies.Secondary outcomes included adherence to protocol and QoL; survival at 3 months; transfusion related adverse events. QoL questionnaires EORTC QLQ-C30 and EQ-5D-5L were administered before, during and following each cycle. Participants also completed daily QoL scores (adapted from ECOG score[1] and from EQ 5D-5L[2]). Participants were blinded.The sample size was 36, based on 10% attrition and the need for 31 patients to detect 15g/L difference between the two strategies (estimated group standard deviation 20 g/L, 90% power, intraclass correlation coefficient 0.25 and significance level 0.05; t-test). The analysis was intention to treat. A mixed linear regression model, with a random participant and period effect, was used to test for a difference between the groups and for evidence of a period effect. Secondary outcomes were analyzed using summary statistics. All participants completing at least one QoL questionnaire at baseline and at least one other were included in QoL analysis.43 patients were randomized from 84 eligible (51.2%), receiving 75 chemotherapy cycles at eight UK hospitals between May 2017 to August 2018 (Online Supplementary Figure S1). Twenty-one participants were allocated to group R/L and 22 to group L/R. Overall, 37 participants followed the restrictive strategy and 38 the liberal strategy. Baseline characteristics were similar between the two groups (Table 1).
Table 1.
Baseline characteristics.
Pretransfusion hemoglobin was below threshold in 91% of all transfusion episodes; 77.2% for transfusions in restrictive (95% confidence interval [CI]: 70.7-82.8) and 99.3% in liberal (95% CI: 97.6-99.9) cycles. As both groups had compliance ≥70%, this demonstrates predefined feasibility.The unadjusted mean pretransfusion hemoglobin was 68.7 g/L and 83.4 g/L for the restrictive and liberal strategies respectively. After adjusting for participant as a random effect and the period effect (which was found to be significant (P=0.01), with hemoglobin values lower in cycle 1 than 2) the adjusted mean difference was 15.1 g/L (95% CI: 13.9-16.2; P<0.001) (Figure 1). No statistically significant carry-over effect was found (P=0.2).
Figure 1.
Pretransfusion hemoglobin.
Greater numbers of transfusions were required in the liberal arm to maintain the higher hemoglobin compared to restrictive arm. Median RBC units transfused per participant over all cycles was 13 (inter quartile range [IQR], 10-17), with six units (IQR, 4-9) for the restrictive strategy and nine (IQR, 7-11) liberal. Fourteen transfusions were given for symptoms above the designated hemoglobin threshold during the restrictive strategy and none during the liberal strategy. Numbers of transfusions given according to protocol, based on hemoglobin, were 447 of 537 (83.2%); 152 (70.7%) for the restrictive strategy and 295 (91.6%) liberal.Secondary outcomes.When the hemoglobin was below threshold, transfusions were given on 152 of 187 (81.3%) and 295 of 447 (66.0%) occasions for the restrictive and liberal strategies respectively.Completion rate for QoL questionnaires was high but reduced over time; 93.0% participants completed both questionnaires at the start and 55.2% at the end. Compliance was similar for both questionnaires. Daily visual analogue scores were completed on 70.3% occasions. No clear overall correlations between daily hemoglobin and daily QoL scores were found, although in an exploratory analysis, QoL scores appeared to favor the liberal threshold in the second treatment cycle (Online Supplementary Figure S2). There was little change in the self-evaluated visual analogue score prior to and post symptom-triggered transfusion; median score 52 (IQR, 40.0-65.0) pre and 55 (IQR, 42.5-65.0) post. For non-symptomatic transfusions the score was 60 (IQR, 42-80) pre and 60 (IQR, 40-80) post (see Table 1).Safety and other secondary outcomes are reported in Table 2. Numerically higher numbers of culture-verified infections, thrombotic events and grade 3 or 4 bleeding were seen during liberal cycles, although numbers are small.
Table 2.
Secondary outcomes.
We have previously identified the need for further trials to identify optimal transfusion support for patients with AML.[3] In our study, we have successfully recruited patients with AML to follow liberal or restrictive transfusion strategies and demonstrated feasibility of a randomized crossover trial. Only two earlier small randomized trials to date have explored the impact of transfusion thresholds on outcomes in AML. A feasibility trial of patients with acute leukemia compared thresholds of 80 g/L versus 120 g/L, but no QoL measures were compared, and the liberal thresholds would be considered high by current standards.[4] Another small study compared 70 g/L versus 80 g/L, but the hemoglobin differences between arms appeared too small to generate separation between arms.[5] The TRIST study examined hemoglobin thresholds of 70 g/L versus 90 g/L in 300 patients undergoing stem cell transplantation, but the findings cannot be extrapolated to patients with AML.[6]Recommendations in guidelines generally advocate for restrictive transfusion policies[7,8,9] but QoL is a critical outcome in transfusion-dependent patients with bone marrow failure. Risks including bleeding, thrombosis and immunomodulatory effects need to be weighed against potential QoL benefits for higher hemoglobin thresholds. The numerically higher rate of culture-verified infections in patients on the liberal transfusion strategy needs to be assessed in further studies applying consistent definitions, and of note, in one previously published meta-analysis of health-care associated infection, rates were also reported to be higher in liberal transfusion threshold arms.[10]A number of additional learning points were identified that may help inform the design of further studies based on our results. We anticipated some hesitancy to consent and hence allowed 5 days from the start of treatment until randomization; 60.9% declined consent at the outset, the reasons reflecting the burden of decisions at diagnosis (Online Supplementary Table S1). Four participants declined to continue with the study after recruitment, most commonly following at least one cycle of chemotherapy, at one recruiting site, and seemingly because of a perception that the 70 g/L threshold was too difficult to tolerate. Our study re-iterates the importance of support for clinical teams and close monitoring to support protocol adherence. Our study also supports a need for economic evaluations in larger studies. Numerically the excess transfusions in the liberal arm exceeded the two units that may have been anticipated to initially raise the hemoglobin from 70 g/L to 90 g/L, suggesting there may be other on-going contributing factors to RBC requirements. This observation is a recurrent finding,[11] and requires investigation regarding RBC loss and/or suppression of erythropoiesis when the hemoglobin is maintained at a higher level.In summary, we have demonstrated the feasibility of randomizing to two hemoglobin thresholds in patients with AML treated with intensive chemotherapy. Given the subjectivity of QoL measurement, the ability for each participant to serve as their own control was an advantage of our study. The findings from our crossover study may be used to inform a larger definitive threshold study addressing QoL as a primary outcome.
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