Literature DB >> 28920949

Autologous hematopoietic cell transplantation for multiple myeloma patients with renal insufficiency: a center for international blood and marrow transplant research analysis.

A Mahindra1, P Hari2, R Fraser2,3, M Fei2, J Huang2, J Berdeja4, N Callander5, L Costa6, M A Diaz7, C Freytes8, R P Gale9, S Girnius10, L Holmberg11, M Kharfan-Dabaja12, S Kumar13, R Kyle13, H Lazarus14, C Lee15, A Maiolino16, J Moreb17, T Nishihori12, A Pawarode18, A Saad6, B N Savani19, J Schriber20,21, B William22, B M Wirk23, A Krishnan24, Y Nieto25, A D'Souza2.   

Abstract

Autologous hematopoietic cell transplantation (AHCT) in multiple myeloma (MM) patients with renal insufficiency (RI) is controversial. Patients who underwent AHCT for MM between 2008 and 2013 were identified (N=1492) and grouped as normal/mild (⩾60 mL/min), N=1240, moderate (30-59), N=185 and severe RI (<30), N=67 based on Modification of Diet in Renal Disease. Multivariate analyses of non-relapse mortality (NRM), relapse, PFS and overall survival (OS) were performed. Of the 67 patients with severe RI, 35 were on dialysis prior to AHCT. Patients received melphalan 200 mg/m2 (Mel 200) in 92% (normal/mild), 75% (moderate) and 33% (severe) RI; remainder received 140 mg/m2 (Mel 140). Thirty four of 35 patients with severe RI achieved post-AHCT dialysis independence. The 5-year PFS for normal, moderate and severe RI was 35 (95% CI, 31-38)%, 40 (31-49)% and 27 (15-40)%, respectively, (P=0.42); 5-year OS for normal, moderate and severe RI was 68 (65-71)%, 68 (60-76)% and 60 (46-74)%, respectively, (P=0.69). With moderate RI, 5-year PFS for high-dose melphalan 140 mg/m2 was 18 (6-35)% and for Mel 200 was 46 (36-57)% (P=0.009). With severe RI, 5-year PFS Mel 140 was 25 (11-41) % and for Mel 200 was 32 (11-58)% (P=0.37). We conclude that AHCT is safe and effective in patients with MM with RI.

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Year:  2017        PMID: 28920949      PMCID: PMC5859934          DOI: 10.1038/bmt.2017.198

Source DB:  PubMed          Journal:  Bone Marrow Transplant        ISSN: 0268-3369            Impact factor:   5.483


Background

Renal insufficiency (RI) is a common complication of multiple myeloma (MM) present in approximately 20-50% of patients.(1) Approximately 5% of MM patients are dialysis dependent· Factors contributing to RI in patients with MM include light chain-induced proximal tubular damage, cast nephropathy, interstitial nephritis, hypercalcemia, dehydration, hyperuricemia, amyloid deposition and plasma cell infiltration.(1) Renal dysfunction at presentation is considered a risk factor for early death and has traditionally been associated with an unfavorable prognosis. This may be due to its reflection of advanced disease, lack of effective treatments previously and perhaps an arbitrary cutoff for using high dose chemotherapy due to a perception of increased morbidity and mortality. High dose melphalan (HDM) with autologous hematopoietic cell transplantation (AHCT) is considered an effective therapy for MM, both, in the upfront and in the salvage setting.(2–4) The decision to perform an AHCT depends on the physician assessment of patients’ eligibility, which typically involves the evaluation of co-morbidities, performance status and the age of patients. Several reports have shown that both the use of aggressive induction regimens incorporating the proteasome inhibitors and the use of AHCT is safe and effective in patients with myeloma presenting with renal insufficiency.(5–13) Patients generally are treated with dose reductions in HDM although there is single institutional data that HDM at 200 mg/m2 is safe and effective in patients with RI with creatinine clearance 30 to 60 ml/min.(14) The International Myeloma Working Group recommends restricting the dose of melphalan to 100-140 mg/m2 as grade C evidence.(15) We undertook this analysis to study RI at the time of AHCT in a contemporaneous cohort of MM patients reported to the Center for International Blood and Marrow Transplant Research (CIBMTR®) from 2008-2013 in order to analyze the impact of the severity of RI on AHCT outcomes.

Methods

Data source

The CIBMTR registry is a prospectively maintained transplant database that collects transplant data from over 450 centers worldwide. Data are submitted to the Statistical Center at the Medical College of Wisconsin in Milwaukee, where computerized checks for discrepancies, physicians’ review of submitted data, and on-site audits of participating centers ensure data quality· Data are collected pre-transplantation, 100 days and 6 months post-transplantation, and annually thereafter until death or last follow up. Observational studies conducted by the CIBMTR are performed with approval of the institutional review boards of the National Marrow Donor Program and the Medical College of Wisconsin.

Patients

All patients from US/Canada who underwent AHCT for MM and reported to the CIBMTR between 2008 and 2013 and had a reported creatinine at AHCT were included in this study (N =1492). Patients were grouped by GFR using the Modification of Diet in Renal Disease (MDRD) equation at AHCT as Normal/Mild (≥60 ml/min), moderate (30-60) and severe RI (<30).

Statistical Analysis

Patient-, disease- and treatment-related factors were compared using the Chi-square test for categorical and the Kruskall-Wallis test for continuous variables. Outcomes analyzed included non-relapse mortality (NRM), relapse/progression, progression-free survival (PFS) and overall survival (OS). Estimates of outcomes were reported as probabilities with 95% confidence intervals (CI). The probability of OS was calculated with the Kaplan-Meier estimator, with the variance estimated by Greenwood formula. Comparison of survival curves was done with the log-rank test. Multivariate analysis of NRM, relapse/progression, PFS and OS was performed using Cox proportional hazards models with RI as the main effect. Other variables tested in the multivariate analysis included age, gender, race, Karnofsky performance score (KPS), hematopoietic cell transplant-comorbidity index (HCT-CI) adjusted to remove renal comorbidity, myeloma immunoglobulin subtype, International Staging System (ISS) stage, high risk status, lines of chemotherapy prior to transplant, induction chemotherapy, chemosensitivity, disease status prior to transplant, year of transplant and post-transplant therapy (consolidation/maintenance). Cumulative incidence curves and probabilities for NRM were calculated by treating relapse as a competing risk. The pointwise comparison was used to analyze outcomes of different interested groups. All the tests are two-sided with a significant level of 0·05. A retrospective power analysis was done in order to ensure we had sufficient power in this study. Since it is known that RI would be associated with lower survival probability, we considered a one-sided test. With a 5% significance level and 80% power, our analysis would be able to detect at least a 20% difference and a 10% difference in the 5-year survival probability between severe/RF (N=67) vs normal/mild (N=1240) and moderate (N=185) vs normal/mild (N=1240), respectively.

Results

Baseline characteristics

Of the cohort, 1240 patients had normal/mild, 185 patients had moderate and 67 patients had severe RI (Table 1). Thirty five patients were on dialysis prior to AHCT. Karnofsky performance status was ≥90% in 56% of patients with normal/mild RI, 57% in patients with moderate RI and 37% in patients with severe RI. Light chain MM was more frequent in severe RI (55%) compared to 30% (moderate) and 18% (normal/mild). There was no difference in high-risk versus non-high risk cytogenetic abnormalities between the three groups. Induction chemotherapies included bortezomib based treatments in 73% of normal/mild, 81% of moderate and 80% of severe RI and ≥2 lines of chemotherapy in 20% normal/mild, 22% moderate and 45% severe RI. Pre-transplant disease status was similar between the groups with ≥VGPR in 49% normal/mild, 49% moderate and 50% severe RI. The median time from diagnosis to AHCT was <6 months in 38% of normal/mild, 36% of moderate and 25% of patients with severe RI. Melphalan dose was 200mg/m2 in 92% patients with normal/mild, 75% patients with moderate and 33% patients with severe RI. Remaining patients received Melphalan 140 mg/m2
Table 1

Characteristics of patients who underwent first auto transplant for MM in 2008-2013 and reported with CIBMTR

Renal function at HCT1
VariableNormal/MildModerateSevere/RI
Number of patients124018567
Age at transplant, years
 median age (range)59 (28-78)62 (33-75)60 (23-74)
 18-3939 (3)6 (3)5 (7)
 40-49189 (15)20 (11)7 (10)
 50-59463 (37)46 (25)22 (33)
 60-69474 (38)97 (52)27 (40)
 70+75 (6)16 (9)6 (9)
Gender, Male741 (60)97 (52)36 (54)
Race
 Caucasian938 (76)145 (78)53 (79)
 African American226 (18)30 (16)10 (15)
 Others238 (3)4 (2)3 (4)
 Missing38 (3)6 (3)1 (1)
Karnofsky Score, ≥ 90%700 (56)106 (57)25 (37)
Adjusted HCTCI scores (Renal comorbidity excluded)
 0505 (41)62 (34)29 (43)
 1188 (15)28 (15)11 (16)
 2192 (15)26 (14)9 (13)
 3175 (14)32 (17)8 (12)
 >3158 (13)36 (19)9 (13)
 Missing22 (2)1 (<1)1 (1)
Disease-related
Immunochemical subtype
 IgG722 (58)96 (52)21 (31)
 IgA259 (21)27 (15)7 (10)
 Light chain only219 (18)56 (30)37 (55)
 Others315 (1)4 (2)2 (3)
 Non-secretory25 (2)2 (1)0
ISS Stage III at diagnosis326 (26)84 (45)43 (64)
Cytogenetic abnormality (FISH and/or karyotype)
 High risk (HR)4151 (12)27 (15)13 (19)
 Non-HR876 (71)125 (68)45 (67)
 Missing5213 (17)33 (18)9 (13)
Serum creatinine at diagnosis
 median (range)1 (<1-14)2 (<1-18)5 (2-17)
 < 2 mg/dl926 (75)77 (42)1 (1)
 ≥ 2 mg/dl94 (8)72 (39)48 (72)
 Missing220 (18)36 (19)18 (27)
Serum creatinine prior to transplant
 median (range)1 (<1-2)1 (1-2)3 (2-12)
 < 2 mg/dL1240166 (90)2 (3)
 ≥ 2 mg/dL019 (10)65 (97)
GFR at transplant (mL/min per 1·73m2), median(range)97 (60-222)49 (31-60)19 (5-29)
Transplant-related
Lines of chemotherapy
 1988 (80)144 (78)37 (55)
 2199 (16)32 (17)22 (33)
 >253 (4)9 (5)8 (12)
Chemotherapy
 VTD84 (6)25 (14)15 (22)
 RVD516 (42)59 (32)15 (22)
 CVD154 (12)31 (17)12 (18)
 VD6146 (12)33 (18)12 (18)
 RD230 (19)31 (17)4 (6)
 TD87 (7)5 (2)4 (6)
 VAD/similar23 (2)1 (<1)5 (8)
Mobilization strategy
 GCSF761 (61)104 (56)50 (75)
 GCSF+chemo307 (25)45 (24)16 (24)
 GCSF+pleraxifor172 (14)36 (19)1 (1)
Disease status at transplant
 sCR/CR228 (18)37 (20)11 (16)
 VGPR385 (31)53 (29)23 (34)
 PR534 (43)82 (44)29 (43)
 SD62 (5)8 (4)3 (4)
 Rel/Prog31 (3)5 (3)1 (1)
Melphalan dose, mg/m2
 14098 (8)47 (25)45 (67)
 2001142 (92)138 (75)22 (33)
Time from diagnosis to transplant
 < 6 months474 (38)66 (36)17 (25)
 6 - 12 months766 (62)119 (64)50 (75)
Year of transplant
 2008356 (29)58 (31)26 (39)
 2009135 (11)22 (12)10 (15)
 2010127 (10)17 (9)6 (9)
 2011178 (14)19 (10)6 (9)
 2012173 (14)32 (17)5 (7)
 2013271 (22)37 (20)14 (21)
Median follow-up of survivors (range), months48 (3-97)48 (4-96)60 (6-75)

Evaluated by glomerular filtration rate (GFR), mL/min per 1·73m2· Abbreviated MDRD study equation is: GFR (mL/min per 1·73m2) = 186 × (SCr)−1·154 × (Age)−0·203 × (0·742 if female) × (1·210 if African-American)· SCr is serum creatinine concentration at transplant in mg/dL.

Definition of renal function group:

Normal/Mild – GFR score≥60

Moderate - GFR score (30-59)

Severe/Renal Failure – GFR score <30

Asian (30), American Indian (12), Islander (3).

IgD (16), IgE (1), IgM (4).

High risk genomic abnormalities consist of t(4;14), t(14;16), del17p, hypodiploidy and any abnormality in chromosome 1· All other cytogenetic lesions are considered non high-risk.

Including No metaphases (9), Cytogenetics not tested (157) and Unknown (89).

Including Bortezomib +Doxil+Dexamethasone (2).

HCT-CI, hematopoietic cell transplantation-comorbidity index; ISS, International Staging System; FISH, fluorescence in situ hybridization; MM, multiple myeloma; CIBMTR, Center for International Blood and Marrow Transplantation; VTD, bortezomib, thalidomide, dexamethasone; RVD, lenalidomide, bortezomib, dexamethasone; VD, bortezomib, dexamethasone; RD, lenalidomide dexamethasone; TD, thalidomide, dexamethasone; VAD, vincristine, doxorubicin, dexamethasone; GCSF, granulocyte-colony stimulating factor; sCR, stringent complete response; CR, complete response; VGPR, very good partial response; PR, partial response; SD, stable disease; RI, renal insufficiency

Response

The probability of PFS at 5 years for patients with normal, moderate and severe RI was 35% (95% CI, 31-38%), 40% (95% CI, 31-49) and 27% (95% CI, 15-40%) respectively, (p=0·42). The probability of OS at 5 years for patients with normal, moderate and severe RI was 68% (95% CI, 65-71%), 68% (95% CI, 60-76) and 60% (95% CI, 46-74%) respectively, (p=0·69). (Figure 1) For patients with moderate RI, probability of PFS at 5 years for patients receiving Melphalan 140 mg/m2 was 18% (95% CI, 6-35%) and for patients receiving Mel 200 mg/m2 was 46% (95% CI, 36-57) (p=0·009); probability of OS at 5 years for patients receiving Mel 140 mg/m2 was 67% (95% CI, 51-82%) and for patients receiving Mel 200 mg/m2 was 68% (95% CI, 58-78) (p=0·52). For patients with severe RI, probability of PFS at 5 years for patients receiving Mel 140 mg/m2 was 25% (95% CI,11-41%) and for patients receiving Mel 200 mg/m2 was 32% (95% CI, 11-58) (p=0·37); probability of OS at 5 years for patients receiving Mel 140 mg/m2 was 63% (95% CI, 46-80%) and for patients receiving Mel 200 mg/m2 was 55% (95% CI, 31-77) (p=0·65).
Figure 1

Kaplan-Meier survival curve of PFS and OS of pts with Normal/mild, moderate and severe renal insufficiency

The median (range) inpatient hospital stay was 14 days (1-90) in patients with normal/mild, 16 (3-77) in patients with moderate and 17 (4-70) in patients with severe RI. The TRM at day 100 was 0% in patients with moderate and severe RI. Time to neutrophil and platelet engraftment, NRM, day 100 responses, relapse, PFS and OS were not statistically different between the three groups (Table 2, 3).
Table 2

Post-transplant characteristics

Renal function at HCT
VariableNormal/MildModerateSevere/RI
Number of patients124018567
Inpatient hospital stay
 N evaluable (%)1133 (91)174 (94)65 (97)
 median (range), days14 (1-90)16 (3-77)17 (4-70)
Day-100 response after transplant
 sCR/CR394 (32)65 (35)23 (34)
 VGPR378 (30)56 (30)16 (24)
 PR287 (23)42 (23)16 (24)
 MR/NR/SD111 (9)15 (8)5 (7)
 Rel/Prog30 (2)2 (1)3 (4)
 Missing40 (3)5 (3)4 (6)
Planned post-HCT therapy
 Planned/completed therapy801 (65)104 (56)30 (45)
  Lenalidomide + Bortezomib ± dexamethasone211 (17)17 (9)7 (10)
  Lenalidomide ± dexamethasone492 (40)75 (41)12 (18)
  Bortezomib ± dexamethasone47 (4)10 (5)7 (10)
  Thalidomide ± dexamethasone21 (2)1 (<1)3 (4)
  Others*30 (2)1 (<1)1 (1)
 No post-HCT therapy431 (35)80 (43)37 (55)
 Missing8 (<1)1 (<1)0

HCT, hematopoietic cell transplantation; N, number; sCR, stringent complete response; CR, complete response; PR, partial response; VGPR, very good partial response; MR, minimal response; SD, stable disease; NR, no response; RI, renal insufficiency

Table 3

Multivariate Analysis of outcomes

NRMRelapsePFSOS
HR(95% CI)p-valueHR(95% CI)p-valueHR(95% CI)p-valueHR(95% CI)p-value
RI0·220·2
Normal/Mild1111
Moderate1·3(0·6-3·2)0·50·8(0·7-1)0·090·8(0·7-1)0·060·9(0·7-1·2)0·4
Severe2·5(0·9-7·1)0·090·9(0·6-1·2)0·50·8(0·6-1·2)0·30·9(0·5-1·3)0·5
Ig subtypeNS0·01NS<0·0001
IgG subtype (N=830)11
IgA subtype (N=289)1·2(1·0-1·5)0·031·6(1·2-2)<0·0001
Light chain (N=311)0·9(0·7-1)0·090·8(0·6-1)0·07
Non-secretory/others (N=48)1·1(0·8-1·6)0·61(0·6-1·8)0·9
ISS at diagnosis, III vs othersNS1·5(1·3-1·7)<0·00011·4(1·2-1·7)<0·00011·9(1·6-2·4)<0·0001
Lines of chemotherapy ≥2 vs 1NS1·3(1·1-1·5)0·0071·2(1·1-1·5)0·0091·4(1·1-1·7)0·009
Chemo-sensitivity versus chemo-resistantNS0·6(0·5-0·8)<0·00010·6(0·5-0·8)<0·00010·6(0·5-0·9)0·007
Planned post-transplant treatment, no versus yesNS1·6(1·4-1·8)<0·00011·6(1·4-1·8)<0·00012(1·6-2·5)<0·0001

NRM, non-relapse mortality; PFS, progression-free survival; OS, overall survival; CI, confidence interval; NS, not significant; Ig, immunoglobulin; ISS, International Staging System

Multivariate analysis of outcomes

On multivariate analysis, IgA or light chain subtypes, ISS Stage III, ≥2 lines of chemotherapy, lack of sensitivity to therapy and lack of planned post-transplant therapy were significantly associated with higher relapse. Renal function at AHCT was not a significant factor for predicting higher frequency of relapse. IgA subtype, ISS stage III at diagnosis, lack of planned post-transplant therapy post-AHCT, ≥2 lines of pre-AHCT therapy were associated with lower PFS and OS. (Table 3)

Patients on hemodialysis at the time of transplant (N=35)

Thirty four of 35 patients with severe RI who were on dialysis at the time of transplant achieved post-transplant dialysis independence. All patients on dialysis at time of transplant received Melphalan 140 mg/m2. The TRM at day 100 was 0%. Median CD34+ cell transfused was 4·59×106/kg CD34 dose (2·59-11·91). Median time (range) to platelet engraftment was 18 days (11-37) and time to neutrophil engraftment was 11·5 days (11–15). Average length of hospital stay was 18 days (0-63). The probability of PFS at 1 year was 70% (95% CI, 53-84) and at 5 years was 26% (95% CI, 11-44%). The probability of OS at 1 year was 88% (95% CI, 76-97) and at 5 years was 49% (95% CI, 29-68%).

Impact of post-transplant therapies

The probability of PFS at 5 years for patients who received maintenance therapy (n=935) was 40% (95% CI, 36-44%) and for those who did not receive maintenance therapy (n=548) was 26% (95% CI, 22-31%) (p<0·001). The probability of OS at 5 years for patients who received maintenance therapy was 74% (95% CI, 69-78%) and for those who did not receive maintenance therapy was 58% (95% CI, 53-63%) (p<0·001).

Cause of death

In this cohort, 386 deaths were seen during follow up. Causes of death appeared similar between the 3 groups with relapse as the cause of death in 255 (81%), 36 (73%) and 16 (73%) in the normal/mild, moderate and severe RI respectively. Other pertinent causes of death included infection in 8 (3%) of normal/mild, 2 (4%) of moderate, 0 of severe, second malignancy in 5 (1%) of normal/mild, 1 (2%) of moderate and 1 (5%) of severe, organ failure in 9 (3%) of normal/mild (including 2 renal), 3 (6%) of moderate and 2 (9%) of severe (including 1 renal). (Table 4)
Table 4

Cause of Death

Renal function at HCT
Normal/MildModerateSevere/RI
Number of patients124018567
Number of death3154922
Cause of death
 Primary disease255 (81)36 (73)16 (73)
 Infection8 (3)2 (4)0
 Organ failure19 (3)3 (6)2 (9)
 Secondary malignancy5 (2)1 (2)1 (5)
 Other28 (3)2 (4)0
 Unknown30 (9)5 (10)3 (14)

Organ failure: Normal/Mild: ARDS (2), Cardiac (2), Renal (2), TTP/HUS (1), Not specified (2); Moderate: ARDS (2), Cardiac (1); Severe/RF: Pulmonary Edema (1), Renal (1)·

Intracranial (1), subarachnoid hemorrhage (1), accidental death (1), thromboembolic (1), prior malignancy (1), hypoxemia, sepsis, hypotension, neutropenia (1), perforated viscus (1), respiratory failure (1), septic shock (1), severe metabolic acidosis (1).

(severe metabolic acidosis: Moderate renal function at HCT)

HCT, hematopoietic cell transplantation; RI, renal insufficiency

Discussion

In this large database study, we make the following observations: 1) High dose melphalan and AHCT is safe in patients with moderate and severe RI at the time of transplant, 2) Dose of melphalan matters and patients with moderate RI who received Mel 200 mg/m2 had improved outcomes, 3) adjusted analysis failed to show independent impact of RI at transplant on 5-year outcomes and 4) a significant portion of patients on dialysis pre-transplant were reported to achieve dialysis independence subsequently Renal impairment is a frequent problem at diagnosis in patients with myeloma and is associated with adverse prognostic consequences. Renal recovery is associated with improved outcomes in patients with myeloma. Improvement in supportive care practices has permitted AHCT to be used in patients traditionally considered to be high risk. Transplant related mortality has varied widely after single transplant in dialysis-dependent patients, with reports of 15% by St Bernard et al., 2·6% by Badros et al. and 12% by Lee et al.(7, 10, 12) In contrast, there was no TRM at day 100 in our analysis in patients with moderate or severe RI, including patients who were dialysis-dependent. There is conflicting data as to whether melphalan dose reduction is required prior to AHCT in patients with renal failure including those requiring dialysis. Knudsen et al. reported a TRM of 50% in dialysis dependent myeloma patients who received Melphalan 200 mg/m2 (9) Badros et al. reported on 81 myeloma patients in renal failure, including 38 on dialysis.(7) Melphalan dose was reduced to 140 mg/m2 from 200 mg/m2 in the last 21 patients due to excessive toxicity. In a matched pair analysis by Raab et al., toxicity, TRM and survival were similar in dialysis dependent myeloma patients who received melphalan 100 mg/m2 compared to patients without renal failure who received melphalan 200 mg/m2 (11) In the study by Fakih et al analyzing outcome of 24 patients who were dialysis dependent, the TRM was 0% at 12-months regardless of melphalan dose used – 14 patients received Mel 200, 7 patients received Mel 140 and 3 patients received Mel 180. Dialysis independence was seen in 3 patients (13%).(8) In a large scale pharmacodynamic analysis of high dose melphlan, melphalan exposure above the median (12·84 mg l(−1) h) was associated with improved survival, with an acceptable increase in transplant toxicity. (16) In our study, improved PFS was noted among patients with moderate RI receiving Mel 200 mg/m2 compared to Mel 140 mg/m2. This difference was not noted in patients with severe RI. All patients who were dialysis-dependent received Mel 140 mg/m2 and dialysis independence was seen in the majority of patients in our study. Additionally, patients on dialysis had adequate hematopoietic cell collection and the engraftment kinetics were similar to patients who were not on dialysis. If performance status permits, our analysis leads us to recommend a possible dose of Mel 200 mg/m2 in patients with moderate renal insufficiency and a dose of Mel 140 mg/m2 in patients with severe RI, including patients on dialysis dependence. Perhaps a PK-guided dose may help better determine optimum dose of melphalan in an individual patient in the future.(17) Our data did not show an effect of RI on 5-year outcomes on multivariate analysis. Factors well reported to affect long term outcomes such as IgA subtype, ISS III at diagnosis, number of pre-transplant chemotherapies, disease status prior to transplant and use of post-transplant treatment were significant. Maintenance treatment has been shown to improve PFS and OS in patients with normal renal function.(18, 19) Raab et al. compared the data of 10 patients with RI who did not receive maintenance treatment with those who either received thalidomide (n = 10), IFN (n = 3) or bortezomib (n = 4) and found a significantly longer event-free survival (median, 29·9 vs 47 months, p = 0·006) in favor of patients on maintenance therapy, whereas OS was not found to be significantly different (median, 28·7 vs 37 months, P = 0·16).(11) In our analysis, post-transplant maintenance treatment was associated with improved outcomes. However, our study was limited by the absence of detailed data on consolidation/maintenance post-transplant therapies and the duration of use. Of note, 55% of patients with severe RI at AHCT did not receive post-AHCT maintenance treatment. Our study also demonstrates that relapse/progressive disease remains the primary cause of death for MM patients, regardless of the degree of RI. Thus, measures to sustain post-AHCT responses are important. The retrospective nature and reliance on center-reported data reported to the CIBMTR for our analysis is a limitation of our study. In particular, our data would have been further strengthened by having more detailed information on the 35 patients reported to be on dialysis at transplant. Without having confirmed the data on each of these individuals from the individual center, we hesitate to unequivocally conclude that AHCT was the reason for dialysis dependence. The improved outcomes of patients with RI in our analysis compared to historical data may be reflective of the improved outcomes seen in patients with MM in general in recent years, with improvement in supportive care during AHCT and the use of novel agents as part of induction and maintenance. Reporting bias however cannot be excluded. Lastly, additional comorbidities can also factor into decisions for adjusting the dose of high dose melphalan. Our study however outlines that in the real world setting, AHCT can be performed safely in patients with severe RI including those on dialysis with good outcomes. In conclusion, our analysis indicates that high dose melphalan with AHCT is safe and effective in patients with MM with RI at the time of transplant with 0 TRM at 100 days in patients with moderate and severe RI. Patients with moderate RI appear to benefit from Mel 200 mg/m2. Post-transplant therapies improve outcomes, and a high proportion of patients are reported to achieve dialysis independence.
  18 in total

1.  Dialysis-dependent renal failure in patients with myeloma can be reversed by high-dose myeloablative therapy and autotransplant.

Authors:  C-K Lee; M Zangari; B Barlogie; A Fassas; F van Rhee; R Thertulien; G Talamo; F Muwalla; E Anaissie; K Hollmig; G Tricot
Journal:  Bone Marrow Transplant       Date:  2004-04       Impact factor: 5.483

2.  High melphalan exposure is associated with improved overall survival in myeloma patients receiving high dose melphalan and autologous transplantation.

Authors:  Christa E Nath; Judith Trotman; Campbell Tiley; Peter Presgrave; Douglas Joshua; Ian Kerridge; Yiu Lam Kwan; Howard Gurney; Andrew J McLachlan; John W Earl; Ian Nivison-Smith; Lihua Zeng; Peter J Shaw
Journal:  Br J Clin Pharmacol       Date:  2016-04-27       Impact factor: 4.335

3.  Autologous Hematopoietic Stem Cell Transplantation in Dialysis-Dependent Myeloma Patients.

Authors:  Riad El Fakih; Patricia Fox; Uday Popat; Yago Nieto; Nina Shah; Simrit Parmar; Betul Oran; Stephan Ciurea; Partow Kebriaei; Chitra Hosing; Sairah Ahmed; Jatin Shah; Robert Orlowski; Richard Champlin; Muzaffar Qazilbash; Qaiser Bashir
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2015-03-27

4.  Results of autologous stem cell transplant in multiple myeloma patients with renal failure.

Authors:  A Badros; B Barlogie; E Siegel; J Roberts; C Langmaid; M Zangari; R Desikan; M J Shaver; A Fassas; S McConnell; F Muwalla; Y Barri; E Anaissie; N Munshi; G Tricot
Journal:  Br J Haematol       Date:  2001-09       Impact factor: 6.998

5.  The role of novel agents on the reversibility of renal impairment in newly diagnosed symptomatic patients with multiple myeloma.

Authors:  M A Dimopoulos; M Roussou; M Gkotzamanidou; N Nikitas; E Psimenou; D Mparmparoussi; C Matsouka; M Spyropoulou-Vlachou; E Terpos; E Kastritis
Journal:  Leukemia       Date:  2012-07-05       Impact factor: 11.528

6.  Autologous stem cell transplantation in multiple myeloma: outcome in patients with renal failure.

Authors:  Lene M Knudsen; Bendt Nielsen; Peter Gimsing; Christian Geisler
Journal:  Eur J Haematol       Date:  2005-07       Impact factor: 2.997

7.  The outcome of autologous stem cell transplantation in patients with plasma cell disorders and dialysis-dependent renal failure.

Authors:  Marc S Raab; Iris Breitkreutz; Michael Hundemer; Axel Benner; Jens Klaus; Ute Hegenbart; Thomas Moehler; Anthony D Ho; Martin Zeier; Hartmut Goldschmidt
Journal:  Haematologica       Date:  2006-11       Impact factor: 9.941

8.  High-dose chemotherapy with hematopoietic stem-cell rescue for multiple myeloma.

Authors:  J Anthony Child; Gareth J Morgan; Faith E Davies; Roger G Owen; Susan E Bell; Kim Hawkins; Julia Brown; Mark T Drayson; Peter J Selby
Journal:  N Engl J Med       Date:  2003-05-08       Impact factor: 91.245

9.  Efficacy, toxicity and mortality of autologous SCT in multiple myeloma patients with dialysis-dependent renal failure.

Authors:  R St Bernard; L Chodirker; E Masih-Khan; H Jiang; N Franke; V Kukreti; R Tiedemann; S Trudel; D Reece; C I Chen
Journal:  Bone Marrow Transplant       Date:  2014-10-06       Impact factor: 5.483

10.  Lenalidomide after stem-cell transplantation for multiple myeloma.

Authors:  Philip L McCarthy; Kouros Owzar; Craig C Hofmeister; David D Hurd; Hani Hassoun; Paul G Richardson; Sergio Giralt; Edward A Stadtmauer; Daniel J Weisdorf; Ravi Vij; Jan S Moreb; Natalie Scott Callander; Koen Van Besien; Teresa Gentile; Luis Isola; Richard T Maziarz; Don A Gabriel; Asad Bashey; Heather Landau; Thomas Martin; Muzaffar H Qazilbash; Denise Levitan; Brian McClune; Robert Schlossman; Vera Hars; John Postiglione; Chen Jiang; Elizabeth Bennett; Susan Barry; Linda Bressler; Michael Kelly; Michele Seiler; Cara Rosenbaum; Parameswaran Hari; Marcelo C Pasquini; Mary M Horowitz; Thomas C Shea; Steven M Devine; Kenneth C Anderson; Charles Linker
Journal:  N Engl J Med       Date:  2012-05-10       Impact factor: 91.245

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  13 in total

1.  Twenty-year Follow-up of Histocompatibility Leukocyte Antigen-matched Kidney and Bone Marrow Cotransplantation for Multiple Myeloma With End-stage Renal Disease: Lessons Learned.

Authors:  Thomas R Spitzer; Nina Tolkoff-Rubin; A Benedict Cosimi; Steven McAfee; Bimalangshu R Dey; Yi-Bin Chen; Francis Delmonico; Megan Sykes; David H Sachs; Tatsuo Kawai
Journal:  Transplantation       Date:  2019-11       Impact factor: 4.939

Review 2.  The evolution of stem-cell transplantation in multiple myeloma.

Authors:  Sarakshi Mahajan; Nidhi Tandon; Shaji Kumar
Journal:  Ther Adv Hematol       Date:  2018-03-05

3.  Impact of Induction Therapy with VRD versus VCD on Outcomes in Patients with Multiple Myeloma in Partial Response or Better Undergoing Upfront Autologous Stem Cell Transplantation.

Authors:  Surbhi Sidana; Shaji Kumar; Raphael Fraser; Noel Estrada-Merly; Sergio Giralt; Vaibhav Agrawal; Larry D Anderson; Mahmoud Aljurf; Rahul Banerjee; Asad Bashey; Minoo Battiwalla; Amer Beitinjaneh; Rajshekhar Chakraborty; Saurabh Chhabra; Binod Dhakal; Bhagirathbhai Dholaria; Shahrukh Hashmi; Murali Janakiram; Cindy Lee; Lazaros Lekakis; Hemant S Murthy; Ricardo Parrondo; Tamna Wangjam; Saad Usmani; Nina Shah; Muzaffar Qazilbash; Anita D'Souza
Journal:  Transplant Cell Ther       Date:  2021-11-12

4.  Lower glomerular filtration rate predicts increased hepatic and mucosal toxicity in myeloma patients treated with high-dose melphalan.

Authors:  Masaharu Tamaki; Hideki Nakasone; Ayumi Gomyo; Jin Hayakawa; Yu Akahoshi; Naonori Harada; Machiko Kusuda; Yuko Ishihara; Koji Kawamura; Aki Tanihara; Miki Sato; Kiriko Terasako-Saito; Kazuaki Kameda; Hidenori Wada; Misato Kikuchi; Shun-Ichi Kimura; Shinichi Kako; Yoshinobu Kanda
Journal:  Int J Hematol       Date:  2018-07-23       Impact factor: 2.490

5.  Autologous stem cell transplantation for multiple myeloma patients with chronic kidney disease: a safe and effective option.

Authors:  I Lazana; L Floro; T Christmas; S Shah; K Bramham; K Cuthill; P Bassett; S Schey; M Kazmi; V Potter; A Pagliuca; M Streetly; R Benjamin
Journal:  Bone Marrow Transplant       Date:  2022-04-12       Impact factor: 5.174

6.  Impact of autologous stem cell transplantation on long term renal function and associated progression-free and overall survival in multiple myeloma.

Authors:  Ala Abudayyeh; Heather Lin; Omar Mamlouk; Maen Abdelrahim; Rima Saliba; Gabriela Rondon; Charles S Martinez; Ruby Delgado; Valda Page; Arun Rajasekaran; Paul W Sanders; Muzaffar Qazilbash
Journal:  Leuk Lymphoma       Date:  2020-07-29

Review 7.  Utilization of hematopoietic stem cell transplantation for the treatment of multiple myeloma: a Mayo Stratification of Myeloma and Risk-Adapted Therapy (mSMART) consensus statement.

Authors:  Wilson I Gonsalves; Francis K Buadi; Sikander Ailawadhi; P Leif Bergsagel; Asher A Chanan Khan; David Dingli; Angela Dispenzieri; Rafael Fonseca; Susan R Hayman; Prashant Kapoor; Taxiarchis V Kourelis; Martha Q Lacy; Jeremy T Larsen; Eli Muchtar; Craig B Reeder; Taimur Sher; A Keith Stewart; Rahma Warsame; Ronald S Go; Robert A Kyle; Nelson Leung; Yi Lin; John A Lust; Stephen J Russell; Stephen R Zeldenrust; Amie L Fonder; Yi L Hwa; Miriam A Hobbs; Angela A Mayo; William J Hogan; S Vincent Rajkumar; Shaji K Kumar; Morie A Gertz; Vivek Roy
Journal:  Bone Marrow Transplant       Date:  2018-07-09       Impact factor: 5.483

Review 8.  Current status of autologous stem cell transplantation for multiple myeloma.

Authors:  Rama Al Hamed; Abdul Hamid Bazarbachi; Florent Malard; Jean-Luc Harousseau; Mohamad Mohty
Journal:  Blood Cancer J       Date:  2019-04-08       Impact factor: 11.037

Review 9.  From transplant to novel cellular therapies in multiple myeloma: European Myeloma Network guidelines and future perspectives.

Authors:  Francesca Gay; Monika Engelhardt; Evangelos Terpos; Ralph Wäsch; Luisa Giaccone; Holger W Auner; Jo Caers; Martin Gramatzki; Niels van de Donk; Stefania Oliva; Elena Zamagni; Laurent Garderet; Christian Straka; Roman Hajek; Heinz Ludwig; Herman Einsele; Meletios Dimopoulos; Mario Boccadoro; Nicolaus Kröger; Michele Cavo; Hartmut Goldschmidt; Benedetto Bruno; Pieter Sonneveld
Journal:  Haematologica       Date:  2017-12-07       Impact factor: 9.941

10.  Impact of renal impairment on outcomes after autologous stem cell transplantation in multiple myeloma: a multi-center, retrospective cohort study.

Authors:  Marlies Antlanger; Tobias Dust; Thomas Reiter; Alexandra Böhm; Wolfgang W Lamm; Max Gornicec; Ella Willenbacher; David Nachbaur; Roman Weger; Werner Rabitsch; Susanne Rasoul-Rockenschaub; Nina Worel; Daniel Lechner; Hildegard Greinix; Felix Keil; Heinz Gisslinger; Hermine Agis; Maria-Theresa Krauth
Journal:  BMC Cancer       Date:  2018-10-20       Impact factor: 4.430

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