scholarly journals Hematopoietic cell transplantation-comorbidity index and Karnofsky performance status are independent predictors of morbidity and mortality after allogeneic nonmyeloablative hematopoietic cell transplantation

Cancer ◽  
2008 ◽  
Vol 112 (9) ◽  
pp. 1992-2001 ◽  
Author(s):  
Mohamed Sorror ◽  
Barry Storer ◽  
Brenda M. Sandmaier ◽  
David G. Maloney ◽  
Thomas R. Chauncey ◽  
...  
2016 ◽  
Vol 34 (16) ◽  
pp. 1864-1871 ◽  
Author(s):  
Brian C. Shaffer ◽  
Kwang Woo Ahn ◽  
Zhen-Huan Hu ◽  
Taiga Nishihori ◽  
Adriana K. Malone ◽  
...  

Purpose To develop a system prognostic of outcome in those undergoing allogeneic hematopoietic cell transplantation (allo HCT) for myelodysplastic syndrome (MDS). Patients and Methods We examined 2,133 patients with MDS undergoing HLA-matched (n = 1,728) or -mismatched (n = 405) allo HCT from 2000 to 2012. We used a Cox multivariable model to identify factors prognostic of mortality in a training subset (n = 1,151) of the HLA-matched cohort. A weighted score using these factors was assigned to the remaining patients undergoing HLA-matched allo HCT (validation cohort; n = 577) as well as to patients undergoing HLA-mismatched allo HCT. Results Blood blasts greater than 3% (hazard ratio [HR], 1.41; 95% CI, 1.08 to 1.85), platelets 50 × 109/L or less at transplantation (HR, 1.37; 95% CI, 1.18 to 1.61), Karnofsky performance status less than 90% (HR, 1.25; 95% CI, 1.06 to 1.28), comprehensive cytogenetic risk score of poor or very poor (HR, 1.43; 95% CI, 1.14 to 1.80), and age 30 to 49 years (HR, 1.60; 95% CI, 1.09 to 2.35) were associated with increased hazard of death and assigned 1 point in the scoring system. Monosomal karyotype (HR, 2.01; 95% CI, 1.65 to 2.45) and age 50 years or older (HR, 1.93; 95% CI, 1.36 to 2.83) were assigned 2 points. The 3-year overall survival after transplantation in patients with low (0 to 1 points), intermediate (2 to 3), high (4 to 5) and very high (≥ 6) scores was 71% (95% CI, 58% to 85%), 49% (95% CI, 42% to 56%), 41% (95% CI, 31% to 51%), and 25% (95% CI, 4% to 46%), respectively (P < .001). Increasing score was predictive of increased relapse (P < .001) and treatment-related mortality (P < .001) in the HLA-matched set and relapse (P < .001) in the HLA-mismatched cohort. Conclusion The proposed system is prognostic of outcome in patients undergoing HLA-matched and -mismatched allo HCT for MDS.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 1119-1119
Author(s):  
O. Frankfurt ◽  
J. Altman ◽  
J. Krishnamurthy ◽  
Andrew M Evens ◽  
L. Gordon ◽  
...  

Abstract The hematopoietic cell transplantation-comorbidity index (HCT-CI) has been proposed as a means to estimate the risk of transplant-related mortality (TRM) and the likelihood of overall survival (OS) after allogeneic HSCT. However, its value and applicability remain unclear; in a 2-center study, it was predictive of outcome at one but not at the other in multivariate analysis (Blood2007;110:4606). We investigated the effect of HCT-CI in 130 adult patients with hematologic malignancies undergoing reduced-intensity HSCT after 100 mg/m2 melphalan (+ 50 mg/kg cyclophosphamide if no prior autograft). GVHD prophylaxis comprised cyclosporine/tacrolimus and MMF. 18% of the donor-patient pairs were 1 antigen/allele-mismatched. 57% had refractory disease. 45% had failed an autograft. ECOG performance status (PS) was 0–34%, 1–48%, 2–14%, and 3–4%. The HCT-CI score distribution was 0–10%, 1–4%, 2–28%, 3–24%, 4–15%, 5–10%, 6–8%, and ≥7–2%. Overall, the patient population had higher HCT-CI scores than described in other studies (Cancer2008;112:1992). In multivariate analysis, TRM was higher with HLA mismatch and PS 2-3, and OS was lower with PS 2-3, HLA mismatch, refractory disease, donor age &gt;45 y, elevated LDH, and platelets &lt;100. HCT-CI 0 vs 1-2 vs ≥3 had no effect on TRM or OS. HCT-CI 0-2 vs ≥3 had a borderline effect on TRM (P=0.09) and OS (P=0.15) in univariate analysis, but no effect in multivariate analysis when forced into the model with factors known to be significant. No significant correlation was seen between HCT-CI and any of the factors found to be predictive of outcome. Figure Figure Because serum albumin is a powerful non-specific predictor of general health and outcome in all clinical situations, we hypothesized that it would correlate with the PS. As shown in the figure below, it did. We expected that it would correlate with HCT-CI because increasing comorbidity should theoretically be associated with declining albumin. However, it did not. Figure Figure In our experience, HCT-CI does not correlate with outcome – especially when other pertinent factors are taken into account. Since most data supporting HCT-CI have originated from a single center, it is possible that its applicability depends on individual centers and the treatment protocols employed. However, lack of correlation of HCT-CI with albumin does call its biological plausibility into some question. HCT-CI cannot be employed unless refined and validated prospectively in multi-center studies.


Blood ◽  
2007 ◽  
Vol 110 (13) ◽  
pp. 4606-4613 ◽  
Author(s):  
Mohamed L. Sorror ◽  
Sergio Giralt ◽  
Brenda M. Sandmaier ◽  
Marcos De Lima ◽  
Munir Shahjahan ◽  
...  

A new hematopoietic cell transplantation–specific comorbidity index (HCT-CI) was effective in predicting outcomes among patients with hematologic malignancies who underwent HCT at Fred Hutchinson Cancer Research Center (FHCRC). Here, we compared the performance of the HCT-CI to 2 other indices and then tested its capacity to predict outcomes among 2 cohorts of patients diagnosed with a single disease entity, acute myeloid leukemia in first complete remission, who underwent transplantation at either FHCRC or M. D. Anderson Cancer Center (MDACC). FHCRC patients less frequently had unfavorable cytogenetics (15% versus 36%) and HCT-CI scores of 3 or more (21% versus 58%) compared with MDACC patients. We found that the HCT-CI had higher sensitivity and outcome predictability compared with the other indices among both cohorts. HCT-CI scores of 0, 1 to 2, and 3 or more predicted comparable nonrelapse mortality (NRM) among FHCRC and MDACC patients. In multivariate models, HCT-CI scores were associated with the highest hazard ratios (HRS) for NRM and survival among each cohort. The 2-year survival rates among FHCRC and MDACC patients were 71% versus 56%, respectively. After adjustment for risk factors, including HCT-CI scores, no difference in survival was detected (HR: 0.98, P = .94). The HCT-CI is a sensitive and informative tool for comparing trial results at different institutions. Inclusion of comorbidity data in HCT trials provides valuable, independent information.


Blood ◽  
2011 ◽  
Vol 117 (9) ◽  
pp. 2728-2734 ◽  
Author(s):  
Angela R. Smith ◽  
Navneet S. Majhail ◽  
Margaret L. MacMillan ◽  
Todd E. DeFor ◽  
Sonata Jodele ◽  
...  

Abstract Quantifying the risk of hematopoietic cell transplantation (HCT)–related mortality for pediatric patients is challenging. The HCT-specific comorbidity index (HCT-CI) has been confirmed as a useful tool in adults, but has not yet been validated in children. We conducted a retrospective cohort study of 252 pediatric patients undergoing their first allogeneic HCT between January 2008 and May 2009. Pretransplantation comorbidities were scored prospectively using the HCT-CI. Median age at transplantation was 6 years (range, 0.1-20) and median follow-up was 343 days (range, 110-624). HCT-CI scores were distributed as follows: 0, n = 139; 1-2, n = 52; and 3+, n = 61. The 1-year cumulative incidence of nonrelapse mortality (NRM) increased (10%, 14%, and 28%, respectively; P < .01) and overall survival (OS) decreased (88%, 67%, and 62%, respectively; P < .01) with increasing HCT-CI score. Multivariate analysis showed that compared with score 0, those with scores of 1-2 and 3+ had relative risks of NRM of 1.5 (95% confidence interval, 0.5-4.3, P = .48) and 4.5 (95% confidence interval, 1.7-12.1, P < .01), respectively. These results indicate that the HCT-CI score predicts NRM and OS in pediatric patients undergoing HCT and is a useful tool to assess risk, guide counseling in the pretransplantation setting, and devise innovative therapies for the highest risk groups.


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