Clinical outcomes of hypomethylating agents plus Venetoclax as frontline treatment in patients 75 years and older with acute myeloid leukemia: Real-world data from eight US academic centers.

Venetoclax (VEN) combined with hypomethylating agents (HMAs) is the standard of care for the treatment of patients with newly diagnosed acute myeloid leukemia (AML) unfit for intensive chemotherapy. To date, real-world data published on HMAs plus VEN have been either single-center studies or using community-based electronic databases with limited details on mutational landscape, tolerability, and treatment patterns in elderly patients. Therefore, we conducted a multicenter retrospective study to assess the real-world experience of 204 elderly patients (≥75 years) with newly diagnosed AML treated with HMAs plus VEN from eight academic centers in the United States. Overall, 64 patients achieved complete remission (CR; 38%) and 43 CR with incomplete count recovery (CRi; 26%) for a CR/CRi rate of 64%, with a median duration of response of 14.2 months (95% CI: 9.43, 22.1). Among responders, 63 patients relapsed (59%) with median overall survival (OS) after relapse of 3.4 months (95% CI, 2.4, 6.7). Median OS for the entire population was 9.5 months (95% CI, 7.85-13.5), with OS significantly worse among patients with TP53-mutated AML (2.5 months) and improved in patients harboring NPM1, IDH1, and IDH2 mutations (13.5, 18.3, and 21.1 months, respectively). The 30-day and 60-day mortality rates were 9% and 19%, respectively. In conclusion, HMAs plus VEN yielded high response rates in elderly patients with newly diagnosed AML. The median OS was inferior to that reported in the VIALE-A trial. Outcomes are dismal after failure of HMAs plus VEN, representing an area of urgent unmet clinical need.

Institution of Standardized Consultation Criteria to Increase Early Palliative Care Utilization in Older Patients With Acute Leukemia.

PURPOSE: Older patients with acute leukemia (AL) have a high symptom burden and poor prognosis. Although integration of palliative care (PC) with oncologic care has been shown to improve quality-of-life and end-of-life care in patients with AL, the malignant hematologists at our tertiary care hospital make limited use of PC services and do so late in the disease course. Using the Plan-Do-Study-Act (PDSA) methodology, we aimed to increase early PC utilization by older patients with newly diagnosed AL. METHODS: We instituted the following standardized criteria to trigger inpatient PC consultation: (1) age 70 years and older and (2) new AL diagnosis within 8 weeks. PC consultations were tracked during sequential PDSA cycles in 2021 and compared with baseline rates in 2019. We also assessed the frequency of subsequent PC encounters in patients who received a triggered inpatient PC consult. RESULTS: The baseline PC consultation rate before our intervention was 55%. This increased to 77% and 80% during PDSA cycles 1 and 2, respectively. The median time from diagnosis to first PC consult decreased from 49 days to 7 days. Among patients who received a triggered PC consult, 43% had no subsequent inpatient or outpatient PC encounter after discharge. CONCLUSION: Although standardized PC consultation criteria led to earlier PC consultation in older patients with AL, it did not result in sustained PC follow-up throughout the disease trajectory. Future PDSA cycles will focus on identifying strategies to maintain the integration of PC with oncologic care over time, particularly in the ambulatory setting.

Effects of a personal trainer-led exercise intervention on physical activity, physical function, and quality of life of breast cancer survivors.

PURPOSE: Exercise is important to address physical and emotional effects of breast cancer treatment. This study examines effects of a personal trainer led exercise intervention on physical activity levels, physical function and quality of life (QoL) in breast cancer survivors. METHODS: Women post active breast cancer treatment were recruited from 2015 to 2017, randomized to immediate exercise or wait-list control, and received three personal training sessions for up to 30 weeks. Physical activity and function were assessed by pedometer, and tests of endurance, strength, and flexibility. Self-reported physical activity, physical activity self-efficacy, and QoL were also assessed. RESULTS: 60 women were randomized to immediate intervention (n = 31) or wait-list control (n = 29). Subjects were aged (mean ± SD) 56 ± 10 years. On the endurance test, the exercise group significantly improved (increase of 18 ± 20 steps vs control 9 ± 12 steps) (p = 0.036). On the strength test, the exercise group significantly improved (increase of 4 ± 3 curls vs control 1 ± 3 curls) (p = 0.002). After intervention, change (mean ∆ ± SD) in the FACT-ES physical well-being subscale score was 1 ± 2 in the exercise group and - 1 ± 2 in the control group (p = 0.023). Improvement in Self-efficacy and Physical Activity (SEPA) score was significant with a change (mean ∆ ± SD) of 2 ± 5 for exercise vs 0 ± 5 for control (p = 0.047). The number of steps/day, back scratch test, weight, and self-reported physical activity did not significantly improve with intervention. CONCLUSIONS: The intervention yielded significant improvements in endurance and strength but not physical activity or quality of life. IMPLICATIONS FOR CANCER SURVIVORS: Future efforts to explore feasible ways to support patient's physical activity efforts need to be undertaken.

Changes in Disparities in Stage of Breast Cancer Diagnosis in Pennsylvania After the Affordable Care Act.

Background: This study sought to determine if increased access to health insurance following the Affordable Care Act (ACA) resulted in an increased proportion of early-stage breast cancer diagnosis among women in Pennsylvania, particularly minorities, rural residents, and those of lower socioeconomic status. Materials and Methods: Data on 35,735 breast cancer cases among women 50-64 and 68-74 years of age in Pennsylvania between 2010 and 2016 were extracted from the Pennsylvania Cancer Registry and analyzed in 2019. Women 50-64 years of age were subdivided by race/ethnicity, area of residence, and socioeconomic status as measured by area deprivation index (ADI). We compared the proportions of early-stage breast cancer diagnosis pre-ACA (2010-2013) and post-ACA (2014-2016) for all women 50-64 years of age to all women 68-74 years of age. This comparison was also made between paired sociodemographic subgroups for women 50-64 years of age. Multivariable logistic regression models were constructed to assess how race, area of residence, ADI, and primary care physician (PCP) density interacted to impact breast cancer diagnosis post-ACA. Results: The proportion of early-stage breast cancer diagnosis increased by 1.71% post-ACA among women 50-64 years of age (p < 0.01), whereas women 68-74 years of age saw no change. Multivariable logistic regression analysis demonstrated that minority women had lower odds of early-stage breast cancer diagnosis pre-ACA, but not post-ACA, when controlling for ADI. Meanwhile, increased area-level socioeconomic advantage was associated with higher odds of being diagnosed with early-stage breast cancer pre- and post-ACA irrespective of controlling for race, area of residence, or PCP density. Conclusions: Enhanced access to health insurance under the ACA was associated with an increased proportion of early-stage breast cancer diagnosis in Pennsylvanian women 50-64 years of age and may have reduced racial, but not socioeconomic, disparities in breast cancer diagnosis.

Impact of a Mobile Health Intervention on Long-term Nonadherence After Lung Transplantation: Follow-up After a Randomized Controlled Trial.

BACKGROUND: In a randomized controlled trial, lung transplant recipients (LTRs) using a mobile health intervention, Pocket Personal Assistant for Tracking Health (Pocket PATH), showed better adherence to the medical regimen than LTRs receiving usual care during the first year posttransplant. We examined whether these effects were maintained beyond the end of the trial and evaluated other potential risk factors for long-term nonadherence. METHODS: Adherence in 8 areas was evaluated at follow-up in separate LTR and family caregiver (collateral) assessments. Pocket PATH and usual care groups' nonadherence rates were compared; multivariable regression analyses then examined and controlled for other patient characteristics' associations with nonadherence. RESULTS: One hundred five LTRs (75% of survivors) were assessed (M = 3.9 years posttransplant, SD = 0.8). Nonadherence rates in the past month were 23%-81% for self-care and lifestyle requirements (diet, exercise, blood pressure monitoring, spirometry), 13%-23% for immunosuppressants and other medications, and 4% for tobacco use, with 31% clinic appointment nonadherence in the past year. In multivariable analysis, the Pocket PATH group showed lower risk of nonadherence to lifestyle requirements (diet/exercise) than the usual care group (P < 0.05). Younger age and factors during the first year posttransplant (acute graft rejection, chronically elevated anxiety, less time rehospitalized, nonadherence at the final randomized controlled trial assessment) were each associated with nonadherence in at least 1 area at follow-up (P < 0.05). CONCLUSIONS: Pocket PATH did not have sustained impact on most areas of the regimen, although we identified other risk factors for long-term nonadherence. Future work should explore strategies to facilitate sustained effects of mobile health interventions.

Primary Care Providers' Knowledge, Attitudes, Beliefs, and Practices Regarding Their Preparedness to Provide Cancer Survivorship Care.

Recent cancer care delivery models and clinical practice guidelines have expanded the role of primary care providers (PCPs) in routine follow-up of cancer survivors. We conducted a cross-sectional survey of PCPs affiliated with a large healthcare system to (1) examine practices, attitudes, and beliefs regarding preparedness to provide survivorship care and (2) explore predictors of confidence managing cancer survivors. We distributed a self-administered online survey to 1069 clinical affiliates providing primary care services within the University of Pittsburgh Medical Center system. Associations between PCPs' professional characteristics and attitudes and preparedness were evaluated. Multiple logistic regression explored predictors of confidence monitoring common cancer treatment-related symptoms. One hundred twenty-seven eligible PCPs responded. The sample was split between academic and community practice (48.0% vs. 52.0%, respectively), predominantly comprised of physicians (81.8%), and 64.6% had > 15 years direct patient care experience. The majority agreed that PCPs play a valuable role in surveillance and adverse event monitoring in survivors, though less than 25% felt their professional training prepared them to perform each of these domains. Physicians were significantly more likely than advanced practice providers to be among the 65% of PCPs who were confident monitoring ≥ 1 symptom in each of the 5 evaluated symptom clusters (OR 3.6, 95% CI 1.2-10.8). PCPs appear willing to assume an enhanced role in cancer survivorship care but feel unprepared to do so. Enhanced training and dissemination of clinical practice guidelines are needed to facilitate effective implementation of PCP-delivered survivorship care.

The Association Between Increased Levels of Patient Engagement With an Internet Support Group and Improved Mental Health Outcomes at 6-Month Follow-Up: Post-Hoc Analyses From a Randomized Controlled Trial.

BACKGROUND: We recently reported that depressed and anxious primary care patients randomized to a moderated internet support group (ISG) plus computerized cognitive behavioral therapy (cCBT) did not experience improvements in depression and anxiety over cCBT alone at 6-month follow-up. OBJECTIVE: The 1% rule posits that 1% of participants in online communities generate approximately 90% of new user-created content. The aims of this study were to apply the 1% rule to categorize patient engagement with the ISG and identify whether any patient subgroups benefitted from ISG use. METHODS: We categorized the 302 patients randomized to the ISG as: superusers (3/302, 1.0%), top contributors (30/302, 9.9%), contributors (108/302, 35.8%), observers (87/302, 28.8%) and those who never logged in (74/302, 24.5%). We then applied linear mixed models to examine associations between engagement and 6-month changes in health-related quality of life (HRQoL; Short Form Health Survey Mental Health Component, SF-12 MCS) and depression and anxiety symptoms (Patient-Reported Outcomes Measurement Information System, PROMIS). RESULTS: At baseline, participant mean age was 42.6 years, 81.1% (245/302) were female, and mean Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder scale (GAD-7), and SF-12 MCS scores were 13.4, 12.6, and 31.7, respectively. Of the 75.5% (228/302) who logged in, 61.8 % (141/228) created ≥1 post (median 1, interquartile range, IQR 0-5); superusers created 42.3 % (630/1488) of posts (median 246, IQR 78-306), top contributors created 34.6% (515/1488; median 11, IQR 10-18), and contributors created 23.1 % (343/1488; median 3, IQR 1-5). Compared to participants who never logged in, the combined superuser + top contributor subgroup (n=33) reported 6-month improvements in anxiety (PROMIS: -11.6 vs -7.8; P=.04) and HRQoL (SF-12 MCS: 16.1 vs 10.1; P=.01) but not in depression. No other subgroup reported significant symptom improvements. CONCLUSIONS: Patient engagement with the ISG was more broadly distributed than predicted by the 1% rule. The 11% of participants with the highest engagement levels reported significant improvements in anxiety and HRQoL. TRIAL REGISTRATION: ClinicalTrials.gov NCT01482806; https://clinicaltrials.gov/ct2/show/NCT01482806 (Archived by WebCite at http://www.webcitation.org/708Bjlge9).