The First COVID-19 Pandemic Wave and the Effect on Health Care Trainees: A National Survey Study.

BACKGROUND: This study observes the trends and patterns among trainees during the coronavirus disease 2019 (COVID-19) pandemic and their response to resident education and hospital/program support. METHODS: An anonymous online 31-question survey was distributed to medical students and postgraduate year residents. Topics included were demographics, clinical responsibilities, educational/curricula changes, and trainee wellness. Descriptive analysis was performed for each set of demographic groupings as well as 2 and 3 group comparisons. RESULTS: Total 1051 surveys collected, 930 used for analysis: 373 (40.1%) male, 434 (46.6%) aged 30-34 years, 588 (63.2%) white, 417 (44.8%) married, 168 (18%) with children, and 323 (34.7%) from the Northeast region. The Northeast experienced difficulty sleeping, feelings of guilt, hopelessness, and changes in appetite (P = .0077). The pandemic interfered significantly with relationships and living situations (P < .0001). Trainees 18-34 years believed the pandemic affected residency training (P < .0001). Surgical residents were concerned about reaching numbers of operative procedures to graduate (P < .0001). Residency programs adhered to ACGME work restrictions (P < .0001). CONCLUSION: We aim to provide continued educational support for our trainees' clinical development and well-being during the COVID-19 pandemic.

Hyperbaric oxygen therapy for COVID-19 patients with respiratory distress: treated cases versus propensity-matched controls.

Objective: Given the high mortality and prolonged duration of mechanical ventilation of COVID-19 patients, we evaluated the safety and efficacy of hyperbaric oxygen for COVID-19 patients with respiratory distress. Methods: This is a single-center clinical trial of COVID-19 patients at NYU Winthrop Hospital from March 31 to April 28, 2020. Patients in this trial received hyperbaric oxygen therapy at 2.0 atmospheres of pressure in monoplace hyperbaric chambers for 90 minutes daily for a maximum of five total treatments. Controls were identified using propensity score matching among COVID-19 patients admitted during the same time period. Using competing-risks survival regression, we analyzed our primary outcome of inpatient mortality and secondary outcome of mechanical ventilation. Results: We treated 20 COVID-19 patients with hyperbaric oxygen. Ages ranged from 30 to 79 years with an oxygen requirement ranging from 2 to 15 liters on hospital days 0 to 14. Of these 20 patients, two (10%) were intubated and died, and none remain hospitalized. Among 60 propensity-matched controls based on age, sex, body mass index, coronary artery disease, troponin, D-dimer, hospital day, and oxygen requirement, 18 (30%) were intubated, 13 (22%) have died, and three (5%) remain hospitalized (with one still requiring mechanical ventilation). Assuming no further deaths among controls, we estimate that the adjusted subdistribution hazard ratios were 0.37 for inpatient mortality (p=0.14) and 0.26 for mechanical ventilation (p=0.046). Conclusion: Though limited by its study design, our results demonstrate the safety of hyperbaric oxygen among COVID-19 patients and strongly suggests the need for a well-designed, multicenter randomized control trial.

Effect of Aromatase Inhibitor Therapy on Sleep and Activity Patterns in Early-stage Breast Cancer.

INTRODUCTION: Adherence to aromatase inhibitor (AI) therapy is poor, often because of treatment-emergent side effects, including musculoskeletal symptoms, fatigue, and insomnia. In the present analysis, we examined the sleep patterns and daytime function both objectively using actigraphy and subjectively using validated questionnaires in women initiating AI therapy. PATIENTS AND METHODS: Postmenopausal women with stage 0-III hormone receptor-positive breast cancer who were initiating AI therapy were eligible. The patients wore actigraphy devices for 10 consecutive days and completed questionnaires at baseline before the initiation of AI and after 3 months of AI therapy. Associations between the baseline demographics and symptoms, changes in patient-reported outcomes and actigraphy measures from baseline to 3 months of AI therapy and discontinuation of AI therapy were examined using sign tests, logistic regression models, Spearman's correlation, and linear mixed models. RESULTS: Forty-two patients (86%) completed the baseline assessments and 23 patients (47%) completed both the baseline and the 3-month assessments. Objectively measured daytime function as measured by total daytime activity decreased during the 3 months after starting AI (232,566 activity count vs. 204,205 activity count; P = .023), and the decrease was more evident in women with higher baseline physical function. Reduced daytime activity correlated with increased fatigue (ρ = -0.49; P = .017). CONCLUSION: Daytime function decreased after initiation of AI therapy and correlated moderately with increased fatigue, although no association was identified with changes in pain or sleep quality. Additional studies are required to understand why function is reduced, which could have implications for interventions to improve patient tolerance of, and persistence with, AI therapy.

Pilot Study of an Internet-Based Self-Management Program for Symptom Control in Patients With Early-Stage Breast Cancer.

PURPOSE: Many survivors of breast cancer experience an array of chronic symptoms, including pain, insomnia, and fatigue. Few effective therapies have been identified. Behavioral management programs to address similar symptom clusters in other chronic conditions have been effective. The objective of this study was to determine the effect of an Internet-based lifestyle and behavioral self-management program on cancer-related symptoms. PATIENTS AND METHODS: Women with stage 0 to 3 breast cancer who reported insomnia, pain, or fatigue as their primary symptom of concern during the 7 days before enrollment were enrolled. Local therapies and/or chemotherapy were completed at least 3 months before enrollment. Patients were assessed at baseline and after 8 weeks, and they completed the Patient-Reported Outcomes Measurement Information System (PROMIS)-29 Profile and Patient Global Impression of Change (PGIC) questionnaire electronically. Change in each of the eight symptom domains was assessed. RESULTS: Fifty patients enrolled. In the 45 patients with both baseline and 8-week PROMIS data, statistically significant improvements in anxiety, sleep, fatigue, activity level, and pain severity were reported. Of the 35 patients who responded to the PGIC, 62.9% reported improvement in their primary symptom. Those who reported fatigue as their primary symptom reported greatest overall benefit in multiple symptom improvement, including improvements in fatigue, anxiety, pain severity, pain interference, and participation in social activities. CONCLUSIONS: These findings suggest that this lifestyle and behavioral management program may improve multiple symptoms in breast cancer survivors when delivered via the Internet. Randomized studies are warranted to evaluate the efficacy of the online intervention compared with standard symptom management approaches and to identify patients most likely to benefit.