Identifying symptom clusters associated with acute and chronic fatigue in patients with breast cancer treated with neoadjuvant therapy on the I-SPY 2 trial.
271 Background: Many studies have shown that fatigue is associated with poor outcomes such as quality of life and physical function in breast cancer survivors.Early treatment of symptoms that result in persistent fatigue may be a strategy to mitigate long-term fatigue.As a result, we studied symptoms and developed risk estimates for patients that are most likely to develop fatigue by pre-surgery and follow up among patients treated on the I-SPY 2 neoadjuvant trial. I-SPY 2 is a phase-II adaptive trial for high-risk early-stage breast cancer patients. Methods: In this retrospective cohort study of 306 women undergoing neoadjuvant chemotherapy +/- targeted therapy, patients complete electronic surveys of symptoms via 34 PRO-CTCAE items and QOL via 9 PROMIS instruments. Fatigue is collected as part of the PROMIS survey and scored using Health Measures. Study timepoints are screening (SC), weekly study treatment (ST), 12 weeks (12w), pre-surgery (PS) and at 1, 6, 12 and 24 months (FU1-FU4) following surgery. Correlation between symptoms and fatigue at equal timepoints was quantified using spearman correlations and BH-adjusted p-values. For symptom odds analysis, symptoms were binarized such that those that had an average grade of mild or above (severity), rarely or above (frequency) or a little bit or above (interference) between ST weeks 1-6 were considered present. Clinically significant (CS) increase in fatigue was defined as an increase >=0.5 standard deviation (SD) in mean from baseline. Logistic regression was used to determine odds ratios of factors associated with fatigue. Results: Baseline PROMIS fatigue mean score was 47.14 (SD 9.31) with a median of 47.45. A CS increase in fatigue from baseline was seen in 55% of patients at 12w, and 61% of patients pre-surgery. Of the patients that had a CS increase in fatigue at any point prior to surgery, 45.7% had persistent fatigue through FU1-4. Symptoms associated with Fatigue at 12w were shortness of breath, headache, and nausea (P< 0.03). At PS, fatigue was significantly correlated with GI symptoms, neuropathy, and shortness of breath (P< 0.03). Risk estimates for patients that filled out symptom surveys at early timepoints (weeks 1-6) and also had fatigue were evaluated. Patients with early GU (genitourinary) symptoms had higher risk of fatigue at IR (OR=9.33, p=0.02, 88.9% in cases vs 33.3% in controls). Patients with early GI symptoms at PS (OR=8.56, p=0.03, 90.1% vs 50%), or FU2-4 (OR= 5.88 and 7.36, p= 0.04 and 0.02, 80% vs 39.1% and 81.8% vs 36.3%) also had a higher risk of developing fatigue. Conclusions: A CS increase in fatigue during treatment and follow up is seen in the majority of patients and is associated with a large number of persistent symptoms.
Evaluation of drug tolerability as a function of toxicity and quality of life in patients enrolled on I-SPY2.
11113 Background: Patient-reported outcomes (PROs) are valuable for understanding treatment tolerability and toxicity. I-SPY2 is a phase-II neoadjuvant clinical trial for breast cancer with electronic PROs and quality of life (QOL) assessments. We sought to understand how well the GP5 self-reported tolerability item reflected toxicity burden and QOL during treatment and follow-up in I-SPY 2 participants. Methods: Our study included 306 patients who completed the FACIT Item GP5 and answered PROMIS surveys at two or more timepoints. Analysis timepoints included screening (SC), inter-regimen (IR), pre-surgery (PS), 1-month post-surgery (FU1), and 6-months post-surgery (FU2). Symptoms were assessed weekly using PRO-CTCAE and CTCAEv4.0. QOL was evaluated using PROMIS. The GP5: “I am bothered by side effects of treatment,” was used to estimate tolerability, where worse tolerability is a higher score. Odds ratios, Spearman correlation, and regularized multi-variate regression were used to evaluate the associations between individual symptoms and adverse events with GP5 scores. Results: Demographic information was available for 243 of the 306 (70.2%) participants (median age=47,73.7% white). In the 306, tolerability scores worsened over study treatment, with a maximum mean score of 1.71 at Cycle 11. Tolerability improved after treatment cessation at FU1(1.09). Mean tolerability at week 6 was 1.53. The only clinical factor that was associated with early change in tolerability (week 6 to PS) was age >50 (mean score ranged from 1.55-1.70 vs 1.29-1.45 (age<50), p<0.05). PRO-CTCAE and GP5 correlative analysis suggested that higher grade abdominal pain, decreased appetite, dizziness and blurry vision significantly associated with higher GP5 scores at multiple timepoints (p<0.05). Symptoms not associated with tolerability were nail loss, acne, hair loss, and rash (p>0.05). Additionally, the total number of low-grade (mild to moderate) symptoms a patient experienced during study treatment was significantly correlated to poor tolerability (p<0.00001). Among patients with CTCAE data, 9% had adrenal insufficiency, and higher GP5 was found across all study timepoints in those with (compared to without) adrenal insufficiency (mean GP5 = [1.7-1.9] vs [1.3-1.5] respectively). Similarly, among patients with neuropathy (14%), higher GP5 scores were reported across all study timepoints (mean GP5 = [1.8-2.3] vs [1.3-1.5] respectively). Higher GP5 scores during treatment were correlated with higher fatigue scores at PS and FU1 (p<0.02 and p<0.001) and lower physical functioning at PS (p<0.01). Conclusions: TheGP5 measure is associated with self-reported symptoms, higher grade adverse events and quality of life scores. Furthermore, greater accumulation of lower grade symptoms can lead to poor tolerability. The single measure GP5 composite score reflects multiple components of treatment toxicity.