Hashmi, Sharukh

7094 Background: Obesity is associated with comorbidities that could cause negative outcome upon delivering intensive care. In pediatric AML patients (pts), obesity was associated with more toxicity and worse prognosis. Here, we study Body-Mass Index (BMI) impact on clinical outcome of adult AML pts. Methods: A total of 180 adult pts with AML between 2003-2011 were enrolled. Retrospective data included demographics, labs, cytogenetics and outcome. LeukemiaNET Standardization (LNS), complete remission (CR), overall survival (OS) and relapse free survival (RFS) were obtained (Dohner E, Blood 2010). BMI of 25-30 was defined as overweight, while >30 as obesity. Fischer’s and Wilcoxon tests were used for comparatives between groups, cox proportional hazards and logistic regression for associations for OS/RFS and CR, Kaplan-Meier test for OS and RFS estimates via JMP software V9.0. IRB approval was obtained according to Helsinki declaration. Results: The median age was 63 years, with 115 (64%) were men. Of 159 pts, karyotype was favorable, Intermediate I, II and adverse in 21 (13%), 76 (48%), 23 (%14) and 39 (25%) pts respectively. Median BMI was 28.2 (range 16.8-47.8). 48 (26%) had normal BMI, 62 (34%) were overweight, and 70 (38%) were obese. At diagnosis, BMI classes were not associated with age, sex, glucose, white blood count (WBC), platelets, blasts, ECOG status, LNS, FLT3/NPM1 status; nor treatment toxicities, CR rates, or relapse after CR. BMI classes were associated with presence of concomitant comorbidities (p=0.047) and glucose levels (p=0.044). In univariate analysis, overweight (OR=1.8, p=0.16) and obesity (OR=1.9, p=0.13) did not affect CR rates. On adjusting for age, sex, LNS, WBC and blast count at diagnosis, only overweight pts had a significant higher CR (76% vs 63%) rates (OR=2.99, p=0.043). OS and RFS were not associated with BMI in univariate (p=0.51) and multivariate (p=0.32) models. Median OS and RFS were not different across BMI subgroups (p=0.52 and 0.59). Conclusions: BMI subgroups showed no correlation with treatment toxicity, LNS, relapse rates, OS or RFS. This should encourage giving therapy to pts regardless of their BMI status. Overweight was associated with better CR rates despite increased concomitant morbidities.

7064 Background: Obesity is a growing medical challenge that has strong association with many comorbid diseases. Body mass index (BMI) is used as one indicator for obesity. A few papers have linked hematological cancers with a worse prognosis if obesity was present. Aim: to study the influence of obesity clinical outcome in patients (pts) with CMML. Methods: A retrospective chart review of pts with CMML at Mayo Clinic Rochester between 1994–2011 was done. BMI was calculated at diagnosis or first time visit. Overweight was defined as BMI ≥25, while obesity as BMI >30. IRB approval was obtained. Comparison between medians was done using Wilcoxon test, while survival estimates were calculated using Kaplan-Meier estimates via JMP software v.9. Results: We found227 pts with a median follow-up of 311 days, 68% of which weremales. Median age was 71 years, hemoglobin 11 gm/dL, white blood cells (WBC) 12x 109/L, and platelets 90x 109/L. Obese pts had a median age of 68 (p=0.0058), hemoglobin 11 gm/dL (p=0.0018), WBC 13.5 x 109/L, platelets 115x109/L (p=0.012), PB blasts 0, bone marrow (BM) blasts 3.5% compared to non-obese pts (73, 10, 11, 78, 0, 3%, respectively). Diploid cytogenetics were similar in both groups (68% vs 64%, respectively, p=0.54). Leukemic transformation into acute myeloid leukemia (LT) was found in 13% vs 10% (p=0.83). Overall response (OR) was 24% and 23%, respectively (p=0.2), when limited to hypomethylating agents OR was 33% vs 27%, respectively (p=0.62). Median OS was found to be similar (571 day vs 569 days, respectively, p=0.56). When compared, overweight pts had similar outcome to non-overweight. Median LT was 11% vs 15% respectively, OR was 21% vs 28% respectively (p=0.5), and OS was 571 days vs 549 days respectively (p=0.21). On a multivariate analysis age, hemoglobin, platelets, BM blasts%, gender, and obesity (p=0.048) were of a significant value for OS. Conclusions: When compared, both obesity and overweight did not affect demographic characteristics, overall response, or transformation into AML. When comparing median overall survival, obesity was not a significant factor, possibly due to short follow-up. However, on multivariate analysis obesity did have a negative impact on overall survival.