Citations

AbstractThe impact of physical activity (PA) on lymphoma survival is not known. The association of PA and change in PA with overall (OS), lymphoma‐specific (LSS) and event‐free (EFS) survival was evaluated in a prospective cohort of newly diagnosed lymphoma patients (2002‐2012). We calculated Leisure Score Indexes (mLSI) from the self‐reported usual adult PA (baseline) and at 3‐years post‐diagnosis (FU3), grouping patients by active vs insufficiently active by the American Cancer Society PA guidelines. Associations of PA with survival were assessed using hazard ratios (HRs) and 95% confidence intervals (CI) from Cox models stratified by lymphoma subtype, adjusted for age, sex, baseline BMI, and comorbidity score with change scores further adjusted for baseline PA. Three thousand sixty participants were evaluable at baseline and 1371 at FU3. Active patients had superior survival from baseline [HR (CI): OS 0.82 (0.72‐0.94); LSS 0.74 (0.61‐0.90); EFS 0.92 (0.82‐1.02)] and FU3 [HR (CI): OS 0.64 (0.46‐0.88); LSS 0.32 (0.18‐0.59); EFS 0.82 (0.61‐1.10)] compared to insufficiently active. An increase in mLSI from baseline to FU3 (vs stable mLSI) was associated with superior OS (HR = 0.70, CI 0.49‐1.00) and LSS (HR = 0.49, CI 0.26‐0.94).The continuous change in mLSI at FU3 was significantly associated with OS, LSS and EFS; maintained across subgroups and appeared linear. Higher PA among lymphoma patients at diagnosis and 3 years is significantly associated with OS, LSS, and EFS. Increasing PA after diagnosis is significantly associated with improved OS and LSS supporting an important role for PA in lymphoma survivorship and the need for intervention trials.

95 Background: While PA is known to improve quality of life in lymphoma pts, its impact on OS is not known. We studied the effect of PA on OS in lymphoma pts enrolled at diagnosis in the Iowa/Mayo Molecular Epidemiology Resource. Methods: Godin Leisure Score Index (LSI; Range 0-50) was calculated based on level of PA pre-diagnosis (baseline) and 3 years post diagnosis (FU3), with pts grouped by tertile into high, moderate, or low PA. At FU3, pts also reported perceived change in PA since diagnosis. OS was measured as time from assessment (baseline or FU3) until death from any cause. Associations between LSI tertiles and OS were assessed using Cox models adjusted for lymphoma subtype, age and sex. Results: PA level was available for 3060 pts at baseline and 1371 pts at FU3. 95% had an ECOG performance status < 2, 37% had an aggressive subtype, 29% had BMI ≥ 30, and 54% were age > 60. Indolent lymphoma pts with higher PA at baseline had no difference in OS. Higher PA at FU3 had improved OS (moderate vs low HR 0.63, CI 0.42-0.93; high vs low HR 0.53, CI 0.33-0.86). Pts with BMI < 30 who had higher PA at baseline showed no difference in OS. Higher PA at FU3 had improved OS for pts with BMI < 30 (moderate vs low HR 0.68 CI, 0.48-0.98; high vs low HR = 0.41, CI 0.26-0.64). For pts > 60 years, high vs low baseline PA showed improved OS (HR 0.77, CI 0.63-0.93). Higher PA at FU3 (moderate vs low HR 0.68 CI 0.48-0.96, high vs low HR 0.53 CI 0.34-0.83) was associated with OS. At FU3, compared to no change, perceived reduction of PA was associated with worse OS for indolent lymphoma (HR 2.13, CI 1.56-2.91), BMI < 30 (HR 1.95, CI 1.45-2.62), BMI > 30 (HR 2.00, CI 1.21-3.30), age ≤ 60 (HR 3.06, CI 1.72-5.46), and age > 60 (HR 1.98, CI 1.52-2.58). Perceived increase in PA was not associated with OS. Higher PA in pts with aggressive lymphoma, BMI ≥30, and age < 60 was not significantly associated with OS but trended similarly. All results were similar when analyzing by continuous LSI score. Conclusions: Higher levels of PA, especially at FU3, were associated with superior OS. The effect was more pronounced in pts with indolent lymphoma, BMI < 30, or age > 60. Perceived reduction in PA was associated with worse outcomes. PA should be incorporated into lymphoma survivorship plans.

Abstract Up to 50% of patients with Hodgkin lymphoma and diffuse large B-cell lymphoma will relapse, requiring additional therapy. Although surveillance imaging is commonly performed in clinical practice, its ability to identify asymptomatic relapses and improve survival for patients is not well defined. We evaluated the surveillance imaging role in relapse detection and reviewed its impact on survival for relapsed patients, and found that current imaging approaches do not detect most relapses prior to clinical signs and symptoms or improve survival.