Design and analysis of outcomes following SARS-CoV-2 infection in veterans.

BACKGROUND: Understanding how SARS-CoV-2 infection impacts long-term patient outcomes requires identification of comparable persons with and without infection. We report the design and implementation of a matching strategy employed by the Department of Veterans Affairs' (VA) COVID-19 Observational Research Collaboratory (CORC) to develop comparable cohorts of SARS-CoV-2 infected and uninfected persons for the purpose of inferring potential causative long-term adverse effects of SARS-CoV-2 infection in the Veteran population. METHODS: In a retrospective cohort study, we identified VA health care system patients who were and were not infected with SARS-CoV-2 on a rolling monthly basis. We generated matched cohorts within each month utilizing a combination of exact and time-varying propensity score matching based on electronic health record (EHR)-derived covariates that can be confounders or risk factors across a range of outcomes. RESULTS: From an initial pool of 126,689,864 person-months of observation, we generated final matched cohorts of 208,536 Veterans infected between March 2020-April 2021 and 3,014,091 uninfected Veterans. Matched cohorts were well-balanced on all 39 covariates used in matching after excluding patients for: no VA health care utilization; implausible age, weight, or height; living outside of the 50 states or Washington, D.C.; prior SARS-CoV-2 diagnosis per Medicare claims; or lack of a suitable match. Most Veterans in the matched cohort were male (88.3%), non-Hispanic (87.1%), white (67.2%), and living in urban areas (71.5%), with a mean age of 60.6, BMI of 31.3, Gagne comorbidity score of 1.4 and a mean of 2.3 CDC high-risk conditions. The most common diagnoses were hypertension (61.4%), diabetes (34.3%), major depression (32.2%), coronary heart disease (28.5%), PTSD (25.5%), anxiety (22.5%), and chronic kidney disease (22.5%). CONCLUSION: This successful creation of matched SARS-CoV-2 infected and uninfected patient cohorts from the largest integrated health system in the United States will support cohort studies of outcomes derived from EHRs and sample selection for qualitative interviews and patient surveys. These studies will increase our understanding of the long-term outcomes of Veterans who were infected with SARS-CoV-2.

Veterans Health Administration National TeleOncology Service.

PURPOSE: As the largest integrated health care system in the United States, the Veterans Health Administration (VA) is a leader in telehealth-delivered care. All 10 million Veterans cared for within the VA are eligible for telehealth. The VA cares for approximately 46,000 Veteran patients with newly diagnosed cancer and an estimated 400,000 prevalent cases annually. With nearly 38% of VA health care system users residing in rural areas and only 44% of rural counties having an oncologist, many Veterans lack local access to specialized cancer services. METHODS: We describe the VA's National TeleOncology (NTO) Service. NTO was established to provide Veterans with the opportunity for specialized treatment regardless of geographical location. Designed as a hub-and-spoke model, VA oncologists from across the country can provide care to patients at spoke sites. Spoke sites are smaller and rural VA medical centers that are less able to independently provide the full range of services available at larger facilities. In addition to smaller rural spoke sites, NTO also provides subspecialized oncology care to Veterans located in larger VA medical facilities that do not have subspecialties available or that have limited capacity. RESULTS: As of fiscal year 2021, 23 clinics are served by or engaged in planning for delivery of NTO and there are 24 physicians providing care through the NTO virtual hub. Most NTO physicians continue to provide patient care in separate traditional in-person clinics. Approximately 4,300 unique Veterans have used NTO services. Approximately half (52%) of Veterans using NTO lived in rural areas. Most of these Veterans had more than one remote visit through NTO. CONCLUSION: NTO is a state-of-the-art model that has the potential to revolutionize the way cancer care is delivered, which should improve the experience of Veterans receiving cancer care.

Patterns of recurrence after trimodality therapy for esophageal cancer.

BACKGROUND: Patterns of failure after neoadjuvant chemoradiotherapy and surgery for esophageal cancer are poorly defined. METHODS: All patients in the current study were treated with trimodality therapy for nonmetastatic esophageal cancer from 1995 to 2009. Locoregional failure included lymph node failure (NF), anastomotic failure, or both. Abdominal paraaortic failure (PAF) was defined as disease recurrence at or below the superior mesenteric artery. RESULTS: Among 155 patients, the primary tumor location was the upper/middle esophagus in 18%, the lower esophagus in 32%, and the gastroesophageal junction in 50% (adenocarcinoma in 79% and squamous cell carcinoma in 21%) of patients. Staging methods included endoscopic ultrasound (73%), computed tomography (46%), and positron emission tomography/computed tomography (54%). Approximately 40% of patients had American Joint Committee on Cancer stage II disease and 60% had stage III disease. The median follow-up was 1.3 years. The 2-year locoregional control, event-free survival, and overall survival rates were 86%, 36%, and 48%, respectively. The 2-year NF rate was 14%, the isolated NF rate was 3%, and the anastomotic failure rate was 6%. The 2-year PAF rate was 9% and the isolated PAF rate was 5%. PAF was found to be increased among patients with gastroesophageal junction tumors (12% vs 6%), especially for the subset with ≥ 2 clinically involved lymph nodes at the time of diagnosis (19% vs 4%). CONCLUSIONS: Few patients experience isolated NF or PAF as their first disease recurrence. Therefore, it is unlikely that targeting additional regional lymph node basins with radiotherapy would significantly improve clinical outcomes.