ABSTRACT
This is the second Cancer Morbidity, Mortality, and Improvement Rounds, a series of articles intended to explore the unique safety risks experienced by oncology patients through the lens of quality improvement, systems and human factors engineering, and cognitive psychology. This case describes the care of a patient who was diagnosed with locally advanced lung cancer during the COVID-19 pandemic; it highlights how gaps in communication and care coordination caused the patient to receive care that did not reflect the consensus of his multidisciplinary team. The discussion highlights the importance of multidisciplinary care, particularly for patients with stage III non-small-cell lung cancer, discusses factors that led to communication gaps, and examines how we should assign accountability across dispersed health care systems.Cancer Morbidity, Mortality, and Improvement Rounds is a series of articles intended to explore the unique safety risks experienced by oncology patients through the lens of quality improvement, systems and human factors engineering, and cognitive psychology. For purposes of clarity, each case focuses on a single theme, although, as is true for all medical incidents, there are almost always multiple, overlapping, contributing factors. The quality improvement paradigm used here, which focuses on root cause analyses and opportunities to improve care delivery systems, was previously outlined in this journal.
Subject(s)
Clinical Decision-Making , Lung Neoplasms/therapy , Palliative Care , Physician-Patient Relations , Quality of Life , Aged, 80 and over , Attitude of Health Personnel , Decision Making, Shared , Female , Health Status , Humans , Lung Neoplasms/pathology , Lung Neoplasms/psychology , Mental HealthABSTRACT
The novel coronavirus SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) continues to pose a substantial global health threat. Along with vaccines and targeted therapeutics, there is a critical need for rapid diagnostic solutions. In this work, we use computational protein modeling tools to suggest molecular beacon architectures that function as conformational switches for high-sensitivity detection of the SARS-CoV-2 spike protein receptor binding domain (S-RBD). Integrating these beacons on a miniaturized total internal reflection fluorescence (mini-TIRF) microscope, we detect the S-RBD and pseudotyped SARS-CoV-2 with limits of detection in the femtomolar range. We envision that our designed mini-TIRF platform will serve as a robust platform for point-of-care diagnostics for SARS-CoV-2 and future emergent viral threats.
Subject(s)
COVID-19/epidemiology , Lung Neoplasms/psychology , Lung Neoplasms/therapy , Female , Humans , Middle Aged , Narration , Palliative Care , Patient-Centered Care , TelemedicineABSTRACT
The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has elicited a global health crisis of catastrophic proportions. With only a few vaccines approved for early or limited use, there is a critical need for effective antiviral strategies. In this study, we report a unique antiviral platform, through computational design of ACE2-derived peptides which both target the viral spike protein receptor binding domain (RBD) and recruit E3 ubiquitin ligases for subsequent intracellular degradation of SARS-CoV-2 in the proteasome. Our engineered peptide fusions demonstrate robust RBD degradation capabilities in human cells and are capable of inhibiting infection-competent viral production, thus prompting their further experimental characterization and therapeutic development.