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Abstract INTRODUCTION The impact of treatment on both the quality and the quantity of life, i.e. the ‘net clinical benefit’, should be considered to facilitate shared decision making. Two methods that combine survival and health-related quality of life (HRQoL) data: Quality Adjusted Effect Sizes (QASES) and Joint Modelling (JM) were applied to gain insight in the net clinical benefit. METHODS The net clinical benefit in one RCT (EORTC 26951 comparing radiotherapy (RT) + PCV chemotherapy versus RT alone) was calculated as a proof of concept for other trials. With the QASES method, effect sizes for differences in survival and HRQoL between treatment arms were calculated. JM allows simultaneous modeling of a longitudinal outcome (HRQoL), and a time-to event outcome (survival). HRQoL scales/items that were selected for primary analysis in the main study were also selected for this analysis: fatigue, global health, social functioning, communication deficit, seizures, physical functioning, and nausea/vomiting. RESULTS 288/386 patients completed baseline HRQoL forms and were included in the analysis. Overall survival (OS) was significantly longer with combined treatment (42.3 vs. 30.6 months). The percentage of patients who experienced a clinically relevant deterioration (≥10 points) in nausea/vomiting, fatigue, social functioning and global health up to one year after treatment compared to baseline was larger in the RT+PCV arm. QASES corresponded to a reduction in the median OS difference from 9.7 months up till 5.5 months, given equal weights to OS and HRQoL. JM analyses resulted in a theoretical loss of treatment effect in OS of 2–6% when adjusting for HRQoL. CONCLUSION Both methods showed that adjusting for the impact of treatment on a relevant HRQoL parameter reduced the survival benefit in the experimental treatment arm compared to standard treatment arm. Applying these methods may facilitate communicating the impact of treatment to patients in clinical practice.

OBJECTIVES: Diabetic gastroparesis (Gp) occurs more often in type 1 diabetes mellitus (T1DM) than in type 2 diabetes mellitus (T2DM). Other diabetic end-organ complications include peripheral neuropathy, nephropathy, and retinopathy (together termed triopathy ). This study determines the prevalence of diabetic complications (retinopathy, nephropathy, and peripheral neuropathy) in diabetic patients with symptoms of Gp, assessing the differences between T1DM and T2DM and delayed and normal gastric emptying (GE). METHODS: Diabetic patients with symptoms of Gp underwent history and physical examination, GE scintigraphy, electrogastrography with water load, autonomic function testing, and questionnaires assessing symptoms and peripheral neuropathy. RESULTS: One hundred thirty-three diabetic patients with symptoms of Gp were studied: 59 with T1DM and 74 with T2DM and 103 with delayed GE and 30 without delayed GE. The presence of retinopathy (37% vs 24%; P = 0.13), nephropathy (19% vs 11%; P = 0.22), and peripheral neuropathy (53% vs 39%; P = 0.16) was not significantly higher in T1DM than in T2DM; however, triopathies (all 3 complications together) were seen in 10% of T1DM and 3% of T2DM ( P = 0.04). Diabetic patients with delayed GE had increased prevalence of retinopathy (36% vs 10%; P = 0.006) and number of diabetic complications (1.0 vs 0.5; P = 0.009); however, 39% of diabetic patients with delayed GE did not have any diabetic complications. DISCUSSION: In diabetic patients with symptoms of Gp, delayed GE was associated with the presence of retinopathy and the total number of diabetic complications. Only 10% of patients with T1DM and 3% of those with T2DM had triopathy of complications, and 39% of diabetic patients with Gp did not have any diabetic complications. Thus, the presence of diabetic complications should raise awareness for Gp in either T1DM or T2DM; however, diabetic Gp frequently occurs without other diabetic complications.

Abstract Objectives Smoking is a major risk factor for the development of both cardiovascular disease (CVD) and RA and may cause attenuated responses to anti-rheumatic treatments. Our aim was to compare disease activity, CVD risk factors and CVD event rates across smoking status in RA patients. Methods Disease characteristics, CVD risk factors and relevant medications were recorded in RA patients without prior CVD from 10 countries (Norway, UK, Netherlands, USA, Sweden, Greece, South Africa, Spain, Canada and Mexico). Information on CVD events was collected. Adjusted analysis of variance, logistic regression and Cox models were applied to compare RA disease activity (DAS28), CVD risk factors and event rates across categories of smoking status. Results Of the 3311 RA patients (1012 former, 887 current and 1412 never smokers), 235 experienced CVD events during a median follow-up of 3.5 years (interquartile range 2.5–6.1). At enrolment, current smokers were more likely to have moderate or high disease activity compared with former and never smokers (P < 0.001 for both). There was a gradient of worsening CVD risk factor profiles (lipoproteins and blood pressure) from never to former to current smokers. Furthermore, former and never smokers had significantly lower CVD event rates compared with current smokers [hazard ratio 0.70 (95% CI 0.51, 0.95), P = 0.02 and 0.48 (0.34, 0.69), P < 0.001, respectively]. The CVD event rates for former and never smokers were comparable. Conclusion Smoking cessation in patients with RA was associated with lower disease activity and improved lipid profiles and was a predictor of reduced rates of CVD events.

Background: Patients with pulmonary hypertension (PH) experience distressing symptoms that can undermine quality of life (QoL) and treatment adherence. Complementary health approaches are known to help manage symptoms of chronic conditions and may have therapeutic benefits in PH. Objective: To explore the impact of Urban Zen Integrative Therapy (UZIT) on PH-related symptoms. Design: A within-subjects, pre-/post-intervention, repeated-measures design. Subjects/Setting: Community-dwelling adults with PH received weekly UZIT sessions in an outpatient setting. Measurements: Participants ( n = 14) rated symptoms before and after each session and before and after the six-week UZIT program. Mixed-effects modeling with repeated measures was used to estimate differences in mean symptom scores before and after individual sessions. Cohen's d effect sizes were used to evaluate the impact of the UZIT program on symptoms. Results: Mean scores for pain ( F (1, 105) = 19.99, p < 0.001), anxiety ( F (1, 96) = 24.64, p < 0.001), fatigue ( F (1, 120) = 15.68, p < 0.001), and dyspnea ( F (1, 68) = 16.69, p < 0.001) were significantly reduced after UZIT sessions. Effects were moderate to large for symptom severity ( d = 0.59–1.32) and moderate for symptom burden ( d = 0.56) and fatigue ( d = 0.62), and small for QoL ( d = 0.33) after the six-week UZIT program. Conclusions: Individualized UZIT sessions were associated with reductions in symptom severity for pain, anxiety, fatigue, and dyspnea. The six-week UZIT program was associated with improvements in symptom burden, activity limitation, and QoL. ClinicalTrial.gov no.: NCT03194438

Abstract Monoclonal gammopathies, including multiple myeloma (MM), represent a group of plasma cell (PC) disorders that comprise of mostly incurable hematopoietic malignancies with an increasing incidence in the US. Previous epidemiological studies demonstrated a 2-3 fold higher incidence of monoclonal gammopathy of undetermined significance (MGUS) and a similarly higher incidence of MM along with a ~4-year younger age of onset among African Americans (AA) compared to European Americans (EAs) (Fonseca, Leukemia, 2017). This suggests a possible ancestral-associated genetic predisposition of AAs to the development of monoclonal gammopathies (Landgren, Blood, 2006). When access to care is equal, AAs have a better overall survival compared to EAs suggesting that AAs may have a genetic predisposition that renders them better responders to treatment or have more favorable cytogenetic subtypes of MM (Waxman, Blood, 2010). Previous efforts to understand this disparity have relied on self-reported race rather than genetic ancestry. We hypothesize that quantifying genetic ancestry is necessary to fully understand the genetic mechanisms of racial disparities of monoclonal gammopathies. We describe our study of 881 patients with monoclonal gammopathies who had undergone uniform testing to identify MM-specific cytogenetic abnormalities. DNA from the bone marrow samples was genotyped on the Precision Medicine Research Array. Biogeographical ancestry was assessed using the Geographic Population Structure Origins tool, which provides the ancestral breakdown of 36 admixture components for each individual representing different geographic regions and outputs admixture proportions corresponding to those ancestries (Elhaik, Nat Commun, 2014). We evaluated whether an increase in the percentage of African Ancestry altered the odds of any primary cytogenetic abnormality. We demonstrated that a 10% increase in the percentage of African ancestry was associated with a 6% increase in the odds of detecting either an t(11;14), t(14;16) or t(14;20) (odds ratio = 1.06, 95% CI: 1.02 - 1.11; p-value = 0.05). Although we observed an increase in the odds of each of the individual translocations with 10% increase in African ancestry, l t(11;14) (OR=1.03) t(14;16) (OR=1.11) and t(14;20) (OR=1.10), these three abnormalities were combined to achieve greater statistical power. The differences in cytogenetic abnormalities were most striking among individuals with ≥80.0% African (n=120) compared to individuals with <0.1% African ancestry (n=235). Using these cutoff values comparing the ≥80.0% and <0.1% African ancestry cohorts, there was a higher prevalence of t(11;14), t(14;16) and t(14;20) (51% vs. 33%, respectively, p-value=0.008) and a lower prevalence of trisomies (with or without IgH translocations) (48.3% vs. 61.3%, respectively, p-value=0.066). In addition, the ≥80% African ancestry cohort also displayed a slightly lower prevalence of monosomy 13/13q deletion compared to the cohort with <0.1% African ancestry (34.2% vs. 38.7%, respectively, p-value=0.021). Further, we observed a significantly higher prevalence in the proportion of females with monoclonal gammopathies among the ≥80% African ancestry cohort compared to the cohort with <0.1% African ancestry (56.7% vs. 42.1%, respectively, p-value=0.028). We complement our past studies that relied on self-reported race and characterized patients' demographic and uniformly collected cytogenetic data in relation to genetically defined African ancestry. We demonstrate the prevalence of having one of three specific subtypes (i.e., t(11;14), t(14;16), or t(14;20)) was significantly higher in those with highest (≥80%) compared to lowest (<0.1%) African ancestry demonstrating African ancestry is associated with a subtype distribution of MM that differs from non-African individuals. These differences were only revealed after analysis of individuals with the highest and lowest percentage of African ancestry. Since 38.3% of the individuals with ≥80% African ancestry have the favorable t(11;14) translocation (in comparison to 26.8% of <0.1% African individuals), this finding may explain improved survival with equal access to care. Understanding the genetic mechanisms of this disparity is a fundamental step to understanding differences in incidence and outcomes of patients with monoclonal gammopathies. Disclosures Elhaik: DNA Diagnostics Center: Consultancy. Baird:DNA Diagnostics Center: Employment. Cerhan:Jannsen: Other: Scientific Advisory Board; Nanostring: Research Funding; Celgene: Research Funding. Stewart:Amgen Inc., BMS, Celgene, Takeda, Roche, Seattle Genetics, Janssen, Ono: Consultancy; Amgen Inc., Celgene, Roche, Seattle Genetics: Research Funding. Dispenzieri:Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Kumar:Novartis: Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Research Funding.

Abstract Abstract 5093 A relative increase in proliferation is now accepted as the most important measure in risk stratification of myeloma. Attempts to include measures of proliferation in different stratification strategies have been met with obstacles largely influenced by their practicality and economic viability in the clinical setting. The plasma cell labelling index (PCLI) is the gold standard used in myeloma; however it is still only used in a minority of centers across the globe. New surrogate markers of proliferation, such as serum biomarkers and transcription-based methods, are under investigation but few have evolved to become part of a uniform strategy in the stratification of myeloma. The gene-expression based proliferation indices (gPI) described by Bergsagel et al, Shaughnessy et al and Hose et al all show similar correlation with PCLI. Studies comparing all currently available methods are lacking. In a cohort of 70 patients, PCLI and gPI were compared with two immunohistochemistry-based methods of measuring proliferation, Ki67 and a more specific measure of S-phase entry – phosphorylation of minichromosome maintenance protein 2 (pMcm2) at serine 40/41, combined with dual staining of CD138. We observed a similar correlation of gPI wth PCLI to that previously reported (r value; CI – 0.43;0.21–0.61). Both Ki67 and pMcm2 staining showed a stronger correlation with PCLI than with gPI and PCLI (r value; CI – 0.81;0.71–0.88 and 0.86; 0.78 – 0.91 respectively). PCLI and gPI have already been shown to be an independent predictor of time to progression and overall survival. Although this sample size was too small to test for time to progression or overall survival and thus independence, a logical extrapolation would indicate similar independence and predictions on survival and time to progression. As Ki67 is routinely used for more proliferative cancers in the clinic, the extension of its use as part of a new stratification system in myeloma provides interesting possibilities for further exploration. Disclosures: O'Dwyer: Novartis: Honoraria, Research Funding.

Abstract Abstract 94 Background: Lymphoma diagnosed during pregnancy is a rare occurrence. Further, there is heterogeneity in clinical presentation and a range of lymphoma histologies resulting in a continued deficiency of lymphoma-specific data in the literature regarding prognosis, optimal therapy, maternal complications, and fetal outcome. Methods: A comprehensive retrospective analysis was completed for patients (pts) diagnosed (dx) with Hodgkin lymphoma (HL) or non-Hodgkin lymphoma (NHL) during pregnancy at 9 large U.S. academic centers over a 13-year period (1998–2011). The vast majority of cases were co-managed with high-risk maternal fetal medicine. Data on maternal disease characteristics, treatment details, obstetric complications, and fetal outcomes were analyzed. Results: 88 cases were identified with complete data available in 82. The median age of pts was 31 yrs (18–40). Lymphoma dx occurred at a median of 24 weeks (wks) gestation (5–40). 15% of pts were dx during the 1st trimester, 46% during the 2nd trimester, 35% during the 3rd trimester, while 4% (n=3) of pts had a pre-existing NHL dx (follicular lymphoma (FL)). 52% (n=43) of pts had NHL and 48% (n=39) HL. Of NHL cases, 83% (n=33) were B-cell and 17% (n=10) T-cell. B-cell histologies were DLBCL n=23 (including 2 primary CNS and 1 'double hit' NHL), FL n=5 (including 1 leukemic phase FL), Burkitt's lymphoma n=3, and mixed histology n=1; T-cell histologies were anaplastic large cell n=6, PTCL not otherwise specified n=2, and T-cell/NK NHL n=2. Pts with B-cell NHL and HL were dx at a median age of 29 yrs (range, 18–40), while T-cell NHL pts were dx at a median of 34 years (19–37). MRI without gadolinium was the most common imaging modality utilized for staging. 63% of NHL and 19% of HL pts had stage III/IV disease (25% of HL with stage IIB). Pregnancy was terminated in 6 pts (n=4 aggressive NHL and n=2 HD) to enable immediate chemotherapy (five in the 1st trimester [at 5, 8, 10, 10, and 12 wks] and 1 pt in the early 2nd trimester who required high-dose methotrexate). 48 pts (63%) initiated anti-lymphoma therapy at a median of 25 wks gestation (range, 13–37) with 79% of pts initiating therapy in the 2nd trimester (see Table 1). The median gestation at time of lymphoma dx for pts who received intra-partum treatment was 20 wks vs 34 wks for pts who had therapy deferred to post-delivery (p<0.0001). The overall response rate among pts who received therapy was 87% (74% complete remission). Notably, gestation went to full-term in 54% with delivery occurring at a median of 37 wks (31–40). Therapy was deferred until post-delivery in 28 pts (37%) and the majority of these pregnancies were also carried to term (median delivery at 38 wks). At a median follow-up of 41 months (6–157), the 3-year PFS and OS for all pts were 79% and 89% respectively. Histology-specific 3-year PFS and OS were: B-cell NHL: 73% and 82%, respectively; T-cell NHL: 50% and 90%, respectively; and HL: 90% and 95%, respectively (Figure 1). Detailed obstetrical information was available in 59 pts. There were minimal pre-term complications, the most common being induction of labor in 45%. Perinatal events included spontaneous rupture of membranes in 5% and pre-eclampsia in 8%. Further, there were no differences in these events detected among pts who received intra-partum treatment vs deferred therapy. No episodes of chorioamnionitis or endometritis were noted. There was 1 stillbirth that occurred at 19 wks gestation in a 34-year-old pt with double-hit NHL following 1 cycle of R-CHOP. The median birth weight of infants was 2427 grams (1005–5262) with no difference among pts who received intra-partum chemotherapy vs not (2637 grams vs 2212 grams, respectively; p=NS). Microcephaly was reported in 1 case following 4 intra-partum cycles of CHOP for DLBCL; there were otherwise no malformations detected. Conclusions: To our knowledge, this represents one of the largest experiences reported of lymphoma in pregnancy. Our data show that standard NHL and HL chemotherapeutic regimens (without anti-metabolites) administered during the 2nd and 3rd trimester, including as early as 13 wks gestation in select cases, is associated with minimal maternal complications or fetal detriment. In addition, pts with low risk clinical scenarios (e.g., indolent NHL and/or late gestational dx) had therapy safely deferred to post-partum. In our experience, this approach was associated with overall expected lymphoma-related survival. Disclosures: No relevant conflicts of interest to declare.