Pharmacokinetically Targeted Intravenous Busulfan Combined with Fludarabine (BuFlu) as Conditioning Prior to Allogeneic Peripheral Blood Hematopoietic Cell Transplant: Pretransplant Predictors of Outcomes.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 3347-3347
Author(s):  
Janelle Perkins ◽  
Jongphil Kim ◽  
Claudio Anasetti ◽  
Mohamed A Kharfan-Dabaja ◽  
Ernesto Ayala ◽  
...  

Abstract Abstract 3347 Poster Board III-235 We report here our experience with 145 consecutive patients (pts) treated with IV busulfan and fludarabine (BuFlu) as conditioning prior to allogeneic hematopoietic cell transplant (HCT). Bu was dosed at 130mg/m2/day on days 1 and 2 with pharmacokinetic (PK) targeting for days 3 and 4; the dose of Flu was 40mg/m2/day for 4 days. The median age was 48 (range 22-68) years. Median HCT Comorbidity Index (HCT-CI) was 3 (range 0-9) and median Karnofsky performance status (KPS) was 100% (60-100%). Sixty-two pts received grafts from HLA matched siblings, 61 from matched unrelated donors (MUD), and 22 from 1 antigen/allele mismatched MUD (mMUD). Disease status was categorized in 50 pts as standard risk (acute leukemia in CR1 or CML in CP1) and in 91 pts as high risk (including acute leukemias > CR1, CML.>.CP1, MDS, MPD, lymphoma, myeloma, and CLL). 4 pts had aplastic anemia. Bu doses were targeted to a daily area under the concentration time curve (AUC) value of 5300 uM*min. Median actual AUC after the first dose was 5002 uM*min (range 3609-8190 uM*min) and doses 3 and 4 were adjusted in 92 pts (63%) to achieve the overall target AUC. Median total Bu dose to achieve AUC target was 520 mg/m2 (range 332-1040 mg/m2). Median Bu clearance (Cl) was 2.7 ml/min/kg (range 1.5-5.2 ml/min/kg). Maximum Bu concentrations (Cmax) after the first dose was 3315 ng/ml (range 1135-4848 ng/ml). First dose Bu AUC, Cmax, and Cl were not correlated with age, race, ethnicity, KPS, or HCT-CI. Women had significantly higher Cl than men (median 2.9 vs 2.6 ml/min/kg; p=0.001). Grade 3 or 4 elevations in hepatic transaminases occurred in 15 pts (10%), hepatic VOD/SOS in 6 pts (4%), and interstitial pneumonitis in 4 pts (3%). None of these toxicities were associated with any of the PK parameters measured. 100 day and 1 year non-relapse mortality (NRM) were 7% and 23% respectively. In multivariable analyses, neither first dose Bu AUC nor Bu Cl were associated with NRM. Having an unrelated donor (MUD: HR 2.68; p=0.025 and mMUD: HR 3.64; p=0.009) and a diagnosis of CML (HR 3.82; p<0.001) or lymphoma (HR 5.15; p=0.005) were associated with increased NRM. In multivariable analyses of relapse, only first dose AUC was significantly associated, with >6000 uM*min predictive of an increased risk of relapse (HR 2.66; p=0.007). The only significant predictor of overall and progression-free survival in multivariable analysis was disease risk. Overall and progression -free survivals at 2 years for the standard risk vs high risk groups were 61% and 57% vs 39% and 32% (p=0.04 and p=0.03, respectively). The increased risk of relapse in the high first dose AUC group may be related to an association between Bu Cl and uptake into malignant cells or the presence of a larger proportion of patients in this group with high risk features other than the predefined disease risk. We conclude that PK targeting of Bu provides a safe method of delivering high doses given that increased toxicity and NRM were not seen in pts with high first dose AUC due to dose adjustment. Disclosures: Perkins: PDL BioPharma: Research Funding. Off Label Use: IV Busulfan and Fludarabine for pre-transplant conditioning. Fernandez:Otsuka: Consultancy. Field:PDL BioPharma: Research Funding.

Leukemia ◽  
2020 ◽  
Vol 34 (7) ◽  
pp. 1898-1906 ◽  
Author(s):  
Mina D. Aziz ◽  
Jay Shah ◽  
Urvi Kapoor ◽  
Christina Dimopoulos ◽  
Sarah Anand ◽  
...  

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2141-2141
Author(s):  
Piyanuch Kongtim ◽  
Simrit Parmar ◽  
Denái R. Milton ◽  
Jorge M. Ramos Perez ◽  
Gabriela Rondon ◽  
...  

Abstract Introduction Outcomes after allogeneic stem cell transplant (AHSCT) are influenced by both disease and patient related factors. We hypothesized that combining hematopoietic stem cell transplant comorbidity-age index (HCT-CI/Age) and the refined disease risk index (DRI-R) would better predict survival post-transplant and developed a hematopoietic cell Transplant-composite risk (HCT-CR) model, which we tested in a group of patients with acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) treated at MD Anderson Cancer Center (MDACC). Methods The study included consecutively treated patients, 18 years of age or older, with AML and MDS who received first AHSCT at MDACC between 2005-2016. Donors were HLA-matched related (MRD), HLA-matched unrelated (MUD), 9/10 MUD (MMUD), haploidentical (HAPLO) and 9/10 MRD (MMRD). To develop this model, patients were assigned into 4 groups: 1. Patients with low/intermediate DRI-R and HCT-CI/Age </=3 (low-risk); 2. Patients with low/intermediate DRI-R and HCT-CI/Age >3 (intermediate-risk); 3. Patients with high/very high DRI-R and HCT-CI/Age </=3 (high-risk); and 4. Patients with high/very high DRI-R and HCT-CI/Age >3 (very high-risk). Primary endpoint was 5-year overall survival (OS); other outcomes assess were progression-free survival (PFS), non-relapse mortality (NRM) and relapse rate. The stability of the HCT-CR model was tested by bootstrap resampling. The discrimination power of the HCT-CR model on OS was compared with that of the DRI-R, HCT-CI/Age and cytogenetic risk model by the Harrell C-concordance index. Results The analysis included 942 patients (492 male and 450 female) with a median age of 53 years (range 18-65 years). Cytogenetic data at diagnosis was available in 928 (98.5%) patients and was favorable, intermediate and adverse cytogenetic risk in 63 (7%), 523 (56%) and 342 (37%), respectively. Fifty-five (6%), 399 (43%), 392 (42%) and 82 (9%) patients had low, intermediate, high and very high DRI-R, respectively. The HCT-CI/Age was available in 922 (98%) patients with the median score of 3 (range 0-18). Donor types included MRD (n=377), MUD (n=416), MMUD (n=68), HAPLO (n=73) and MMRD (N=8). Using the HCT-CR model, patients were stratified into 4 risk groups: low (N=272), intermediate (N=168), high (N=284) and very high-risk (N=184), with significantly different survival. The 5-year OS rates for patients in low, intermediate, high and very high-risk group were 57%, 48%, 34%, and 26%, respectively (P<0.001) (Figure 1). The probability of 5-year PFS rates were 55%, 46%, 30% and 23% for these 4 risk groups, respectively (P<0.001). Post-transplant outcomes of all 4 HCR-CR groups are summarized in Table 1. Compared with the low HCT-CR risk group, patients with intermediate, high and very high-risk group had a significantly increased risk of death with HR of 1.42 (95%CI 1.06-1.91; P=0.02), 2.11 (95%CI 1.65-2.70; P<0.001), and 3.02 (95%CI 2.32-3.92; P<0.001), respectively. The significant association between OS and the HCT-CR groups persisted after adjusting for potential confounders with adjusted HR of 1.37 (95%CI 1.02-1.85) for intermediate, 2.08 (95%CI 1.62-2.67) for high and 2.92 (95%CI 2.23-3.82) for very high-risk group when compared with low risk group. The stability of the hematopoietic cell transplant - composite risk model was confirmed in a bootstrap resampling procedure. Among 500 new datasets, on average, patients in intermediate, high and very high-risk group had significantly increased risk of death after transplant when compared with low risk group with HR of 1.39, 2.11 and 2.98, respectively. Results from the concordance test showed that the HCT-CR model provided better discriminative capacity for prediction of OS when compared with DRI-R, HCT-CI/Age and cytogenetic risk group models with C-index of 0.62 versus 0.60, 0.54 and 0.55, respectively. The goodness of fit test showed that the HCT-CR model fit the data significantly better than the other models (P<0.001). Conclusion Combining disease and patient-related factors provides better survival stratification for patients with AML/MDS receiving AHSCT. This novel HCT-CR model will be validated in patients with all diseases undergoing allogeneic hematopoietic stem cell transplantation and results will be presented at the meeting. Disclosures Oran: ASTEX: Research Funding; Celgene: Consultancy, Research Funding; AROG pharmaceuticals: Research Funding. Champlin:Otsuka: Research Funding; Sanofi: Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4606-4606 ◽  
Author(s):  
Rebecca L. Olin ◽  
Caitrin Fretham ◽  
Marcelo C. Pasquini ◽  
Mukta Arora ◽  
Vijaya R. Bhatt ◽  
...  

Introduction: Use of alloHCT is increasing in older patients, but the best means of determining alloHCT candidacy is uncertain. Geriatric assessment (GA), including validated geriatric metrics such as Instrumental Activities of Daily Living (IADL), offers promise to improve prognostication and decision making. We identified a multicenter retrospective cohort of older patients (pts) with pre-alloHCT GA data and examined the impact of GA impairments on post-alloHCT outcomes as reported to the Center for International Blood and Marrow Transplant (CIBMTR) registry. Methods: Pts across 6 participating centers were included in the cohort who met the following inclusion criteria: first alloHCT performed in the U.S. from 2011-2017; age ≥50 years; consented to CIBMTR registry study; and GA incorporating an IADL score collected within 3 months prior to transplant. Additional pre-alloHCT geriatric metrics were collected where available and included: Medical Outcomes Study Physical Health score (MOS-PH), Timed Up and Go (TUG), and Blessed Orientation Memory Concentration (BOMC). Univariate regression analyses examined the effect of demographic, clinical, and geriatric covariates on overall survival (OS), progression-free survival (PFS) and non-relapse mortality (NRM). Variables significant at p<0.1 were included in multivariate models. Results: Among 330 pts meeting inclusion criteria, median age was 63 (range 50-77), 60% were male, and 89% were Caucasian. AML and MDS accounted for 79% of transplant indications (46% and 33% respectively). Conditioning was myeloablative in 32%. Karnofsky performance status (KPS) was ≤ 80 in 27%, and 51% of patients had Hematopoietic Cell Transplant Comorbidity Index (HCTCI) ≥3. Median follow up was 24 months (range 3-61). GA metrics available for analysis included IADL in 100% of pts, MOS-PH in 70%, TUG in 83%, and BOMC in 71%. GA impairments, using published cutoffs, were frequent: of evaluable pts, 36% had IADL impairment (score <14), 57% had MOS-PH ≤ the cohort median of 80, 14% had TUG ≥ 13.5 seconds and 17% had cognitive impairment (BOMC score ≥7). In multivariate analysis (MVA), only BOMC ≥7 was significantly associated with inferior 1-year OS (hazard ratio [HR] 1.94, 95% confidence interval [CI] 1.14-3.31, p=0.01). IADL impairment was of marginal significance (HR 1.41, 95% CI 0.96-2.08, p=0.08). Similar findings were seen for 2-year OS (BOMC ≥7 HR 1.60, 95% CI 0.99-2.56, p=0.05; and IADL HR 1.33, 95% CI 0.96-1.86, p=0.09). With respect to PFS, high/very high Disease Risk Index score (HR 1.62, 95% CI 1.17-2.24, p=0.004) and BOMC ≥7 (HR 1.79, 95% CI 1.14-2.81, p=0.01) both were associated with inferior 2-year PFS. With respect to NRM, HCTCI ≥3 and BOMC ≥7 were the only significant predictors of increased NRM at both 1 and 2 years (subdistribution HR [SHR] 1.82, 95% CI 1.07-3.09, p=0.03 and SHR 2.41, 95% CI 1.29-4.53, p=0.006 respectively for 2-year NRM). Figure 1A and 1B show unadjusted OS and NRM according to the presence of cognitive impairment by BOMC ≥7. No GA metrics were predictive of relapse risk, and age was not associated with any post-alloHCT outcomes. In a pre-planned subgroup analysis of GA metrics in 224 patients aged ≥60 years, impaired cognition by BOMC ≥7 was the sole geriatric metric predictive of 2-year NRM (SHR 2.72, 95% CI 1.32-5.63, p=0.007). Conclusion: In this multicenter study of patients ≥50 years undergoing alloHCT, pre-alloHCT cognitive impairment was significantly associated with inferior OS due to increased NRM. In contrast to prior single center studies, IADL impairment was not significantly associated with outcomes. GA validation studies, integrating more refined cognitive testing, should be pursued both to determine candidacy for alloHCT and to identify those likely to benefit from strategies to reduce NRM. Figure 1 Disclosures Olin: Daiichi Sankyo: Research Funding; Astellas: Research Funding; Genentech: Consultancy, Research Funding; Pfizer: Research Funding; Jazz Pharmaceuticals: Consultancy, Honoraria; Revolution Medicine: Consultancy; AstraZeneca: Research Funding; Clovis: Research Funding; Ignyta: Research Funding; MedImmune: Research Funding; Mirati Therapeutics: Research Funding; Novartis: Research Funding; Spectrum: Research Funding. Pasquini:Kite Pharmaceuticals: Research Funding; Novartis: Research Funding; BMS: Research Funding; Medigene: Consultancy; Amgen: Consultancy; Pfizer: Consultancy. Bhatt:Agios: Consultancy; Abbvie: Consultancy; Partner therapeutics: Consultancy; Incyte: Consultancy, Research Funding; Tolero Pharmaceuticals: Research Funding; National Marrow Donor Program: Consultancy; CSL Behring: Consultancy; Pfizer: Consultancy. Giralt:Celgene: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Novartis: Consultancy; Actinium: Consultancy, Research Funding; Miltenyi: Research Funding; Johnson & Johnson: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy; Kite: Consultancy; Spectrum Pharmaceuticals: Consultancy. Popat:Jazz: Consultancy; Bayer: Research Funding; Incyte: Research Funding. Weisdorf:Fate Therapeutics: Consultancy; Pharmacyclics: Consultancy; Incyte: Research Funding. Artz:Miltenyi: Research Funding.


Blood ◽  
2019 ◽  
Vol 133 (7) ◽  
pp. 754-762 ◽  
Author(s):  
Monica S. Thakar ◽  
Larisa Broglie ◽  
Brent Logan ◽  
Andrew Artz ◽  
Nancy Bunin ◽  
...  

Abstract Despite improvements, mortality after allogeneic hematopoietic cell transplantation (HCT) for nonmalignant diseases remains a significant problem. We evaluated whether pre-HCT conditions defined by the HCT Comorbidity Index (HCT-CI) predict probability of posttransplant survival. Using the Center for International Blood and Marrow Transplant Research database, we identified 4083 patients with nonmalignant diseases transplanted between 2007 and 2014. Primary outcome was overall survival (OS) using the Kaplan-Meier method. Hazard ratios (HRs) were estimated by multivariable Cox regression models. Increasing HCT-CI scores translated to decreased 2-year OS of 82.7%, 80.3%, 74%, and 55.8% for patients with HCT-CI scores of 0, 1 to 2, 3 to 4, and ≥5, respectively, regardless of conditioning intensity. HCT-CI scores of 1 to 2 did not differ relative to scores of 0 (HR, 1.12 [95% CI, 0.93-1.34]), but HCT-CI of 3 to 4 and ≥5 posed significantly greater risks of mortality (HR, 1.33 [95% CI, 1.09-1.63]; and HR, 2.31 [95% CI, 1.79-2.96], respectively). The effect of HCT-CI differed by disease indication. Patients with acquired aplastic anemia, primary immune deficiencies, and congenital bone marrow failure syndromes with scores ≥3 had increased risk of death after HCT. However, higher HCT-CI scores among hemoglobinopathy patients did not increase mortality risk. In conclusion, this is the largest study to date reporting on patients with nonmalignant diseases demonstrating HCT-CI scores ≥3 that had inferior survival after HCT, except for patients with hemoglobinopathies. Our findings suggest that using the HCT-CI score, in addition to disease-specific factors, could be useful when developing treatment plans for nonmalignant diseases.


2019 ◽  
Vol 25 (10) ◽  
pp. 2031-2039 ◽  
Author(s):  
Vanessa P. Tolbert ◽  
Christopher C. Dvorak ◽  
Carla Golden ◽  
Madhav Vissa ◽  
Nura El-Haj ◽  
...  

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