Association between remotely-monitored activity, patient-reported outcomes, and physical function in patients with advanced pancreatic cancer.

Abstract

1572 Background: Patients with pancreatic ductal adenocarcinoma (PDAC) experience significant functional decline over the course of their treatment, which can negatively impact their quality of life (QOL) and clinical outcomes. There are currently no standardized methods to monitor physical function (PF) in PDAC patients outside the clinic setting. The use of wearable technology to obtain continuous and objective activity data combined with routine collection of patient-reported outcomes (PROs) provides an opportunity to monitor PF and intervene in a timely matter. Methods: We conducted a single-site, single-arm prospective study in advanced stage 3 and 4 PDAC patients between 2019 and 2/2022. Patients used a wrist-worn wearable activity monitor (Fitbit) continuously for 8 weeks and completed NIH PROMIS surveys (PF, pain, fatigue, sleep disturbance, and emotional distress) at baseline, week 4 and week 8. ECOG performance status (PS), hand grip strength, and timed 15-foot walk test were also assessed at each timepoint. Pearson correlation coefficients were calculated for activity data (step counts, distance, stairs, time spent sedentary and in light, moderate, or vigorous activity, sleep), PROs, and functional outcomes. Multivariable regression models, adjusted for age, sex, and cancer stage, were fit to evaluate associations between activity metrics, PROs, and functional outcomes. Multivariable cox proportional hazard models were fit to evaluate the impact of activity levels on survival. Results: A total of 40 patients consented onto study: 50% female, median age: 67 years (range 47-85), 92% ECOG 1. Baseline activity data are summarized in Table. Statistically significant correlations between step counts and PF T-scores (coeff: 0.6, p = 0.001) and lower pain scores (coeff: -0.53, p = 0.002) were observed. Increased stairs count and time spent in moderate and high physical activity were also positively correlated with increased PF (p<0.001). No statistically significant correlations were observed between hand grip strength, activity metrics or PROs. Fewer average step counts and worse PF scores were significantly associated with poor survival with hazard ratios (HR) of 1.44 per 1000 steps (95% CI 1.06, 1.97, p = 0.02) and 1.69 (95% CI 1.1-2.56, p = 0.017), respectively, after adjusting for age, sex, stage, and ECOG PS. Conclusions: Findings from this research suggest that the use of wearable technology for remote monitoring of daily activity is feasible and may be used to supplement functional assessment and predict outcomes in PDAC patients. Larger trials are needed to validate findings. [Table: see text]