Purpose: Disparities in surgical breast cancer care have been documented for racial and ethnic minorities. On average, these minorities are less likely to utilize National Cancer Institute (NCI)-designated cancer centers and travel shorter distances to receive care. With the growing population of Hispanic patients in California, we analyzed the travel distance and surgical care of Hispanic and non-Hispanic patients at our large referral cancer center. Methods: Patients included were those who initiated treatment for a new diagnosis of ductal carcinoma in situ or invasive breast cancer at our NCI-designated cancer center during the period 2010-2014. Ethnicity was dichotomized as Hispanic and non-Hispanic. Google Maps were used to determine the distance from patient zip code to our institution, classified as 0-10, 10-30, 30-60, and >60 miles. Results: A total of 1765 non-Hispanic and 173 Hispanic patients were identified. Clinical stage by tumor size and nodal status were comparable between the two groups. Hispanic patients were younger (p<0.001) and more had Medicaid insurance (p<0.001). Hispanic patients traveled further when compared with non-Hispanics (p<0.001). In non-Hispanics and Hispanics, rates of breast conservation were 57.4% and 52.3% (p=0.30), unilateral mastectomy 34.2% and 36.2% (p=0.44), bilateral mastectomy 8.4% and 11.5% (p=0.24), and immediate postmastectomy reconstruction 42.6% and 50.6% (p=0.34), respectively. Hispanic ethnicity was not associated with different odds of receiving breast conservation (odds ratio [OR] 1.01, confidence interval [CI] 0.73-1.40), unilateral mastectomy (OR 1.05, CI 0.75-1.44), bilateral mastectomy (OR 1.37, CI 0.81-2.31), or immediate postmastectomy breast reconstruction (OR 1.27, CI 0.86-1.88), when compared with non-Hispanic ethnicity, after controlling for patient age, insurance status, and distance traveled. Conclusions: Surgical care was similar for Hispanic and non-Hispanic patients treated at our NCI-designated cancer center. However, this Hispanic population traveled further than non-Hispanic patients. Our findings suggest that accessibility to transportation and institutional practices are instrumental in delivering equitable breast cancer surgical care for Hispanic patients.

Today, colorectal cancer (CRC) diagnosis is performed using colonoscopy, which is the current, most effective screening method. However, colonoscopy poses risks of harm to the patient and is an invasive process. Recent research has proven metabolomics as a potential, non-invasive detection method, which can use identified biomarkers to detect potential cancer in a patients body. The aim of this study is to develop a machine-learning (ML) model based on chemical descriptors that will recognize CRC-associated metabolites. We selected a set of metabolites found as the biomarkers of CRC, confirmed that they participate in cancer-related pathways, and used them for training a machine-learning model for the diagnostics of CRC. Using a set of selective metabolites and random compounds, we developed a range of ML models. The best performing ML model trained on Stage 0-2 CRC metabolite data predicted a metabolite class with 89.55% accuracy. The best performing ML model trained on Stage 3-4 CRC metabolite data predicted a metabolite class with 95.21% accuracy. Lastly, the best-performing ML model trained on Stage 0-4 CRC metabolite data predicted a metabolite class with 93.04% accuracy. These models were then tested on independent datasets, including random and unrelated-disease metabolites. In addition, six pathways related to these CRC metabolites were also distinguished: aminoacyl-tRNA biosynthesis; glyoxylate and dicarboxylate metabolism; glycine, serine, and threonine metabolism; phenylalanine, tyrosine, and tryptophan biosynthesis; arginine biosynthesis; and alanine, aspartate, and glutamate metabolism. Thus, in this research study, we created machine-learning models based on metabolite-related descriptors that may be helpful in developing a non-invasive diagnosis method for CRC.

Background

Many institutions implemented telehealth initiatives to provide social support for patients during the SARS-CoV-2 (COVID-19) pandemic. Little is known about the impact of these programs on patient support persons and the trainees who facilitated them.

Objective

To assess perceptions of a resident physician and medical student-driven video visit program.

Methods

We designed and implemented a trainee-led video visit navigation program across three affiliated urban hospitals to facilitate video visits between patients and their support persons. We used descriptive statistics to understand the patient population served by the program and employed surveys for support persons and trainees to assess attitudes on the program.

Results

From April to June 2020, a total of 443 video visits were completed. Surveys were conducted for 101 out of 184 (54.9%) support persons and 39 out of 65 (60.0%) of medical trainees. Surveys demonstrated that video visits helped alleviate the stress and anxiety of support persons having a hospitalized loved one they could not visit. For trainees, facilitating these connections helped mitigate stress and provided a mechanism to contribute to the pandemic response.

Conclusion

Telehealth navigation programs provide high levels of connection for patients and their support persons during the COVID-19 pandemic and potentially beyond. Residents and medical students involved in these initiatives mobilized telehealth modalities to improve experiences with care delivery.

Objective

Transcatheter aortic valve replacement (TAVR), previously reserved for patients of intermediate to prohibitive surgical risk, has now been expanded to patients of any surgical risk with severe aortic stenosis. Bioprostheses are prone to structural valve degeneration (SVD), a progressive and multifactorial process that limits valve durability. As the population undergoing TAVR shifts toward a lower-risk and younger profile, long-term durability is a crucial determinant for patient outcomes. Our objective was to determine the incidence and risk factors of SVD at midterm follow-up in a veteran TAVR population.

Methods

Patients undergoing TAVR at our federal facility were retrospectively evaluated for SVD and other endpoints with standardized consensus criteria. Multivariable Cox proportional hazards analysis was performed to evaluate risk factors for mortality and SVD.

Results

From 2013 to 2020, 344 patients (median age, 78 years) underwent TAVR. Survival from all-cause mortality was 91.3% at 1 year, 75.1% at 3 years, and 61.7% at 5 years. Cumulative freedom from SVD was 98.2% at 1 year, 96.5% at 3 years, and 93.7% at 5 years. All 13 patients with SVD met hemodynamic criteria, and 1 required intervention. Median time to hemodynamic SVD was 1.04 years. Independent risk factors for SVD included age (hazard ratio [HR] = 0.92, 95% confidence interval [CI]: 0.86 to 0.99) and valve size (HR = 0.19, 95% CI: 0.04 to 0.89).

Conclusions

SVD was evident at a low but detectable rate at 5-year follow-up. Further understanding of TAVR biomechanics as well as continued longer-term follow-up will be essential for informing patient-specific risk of SVD.

Human induced pluripotent stem cell (hiPSC) to cardiomyocyte (CM) differentiation has reshaped approaches to studying cardiac development and disease. In this study, we employed a genome-wide CRISPR screen in a hiPSC to CM differentiation system and reveal here that BRD4, a member of the bromodomain and extraterminal (BET) family, regulates CM differentiation. Chemical inhibition of BET proteins in mouse embryonic stem cell (mESC)-derived or hiPSC-derived cardiac progenitor cells (CPCs) results in decreased CM differentiation and persistence of cells expressing progenitor markers. In vivo, BRD4 deletion in second heart field (SHF) CPCs results in embryonic or early postnatal lethality, with mutants demonstrating myocardial hypoplasia and an increase in CPCs. Single-cell transcriptomics identified a subpopulation of SHF CPCs that is sensitive to BRD4 loss and associated with attenuated CM lineage-specific gene programs. These results highlight a previously unrecognized role for BRD4 in CM fate determination during development and a heterogenous requirement for BRD4 among SHF CPCs.