ABSTRACT
Heart disease is the number one cause of death in the United States. Advanced cardiac conditions, such as heart failure, are characterized by severe symptoms, recurrent hospitalizations, limited/uncertain prognosis, decreased quality of life, and high levels of caregiver burden. The burden of heart failure is highest in older adults, for whom cardiovascular symptoms are layered on existing age-related problems such as geriatric syndromes, polypharmacy, depression, frailty, inadequate social support, decreased representation in clinical trials, and aging caregivers. Deliberate integration of outpatient and interdisciplinary geriatrics, palliative care, and cardiovascular care are essential for this special population. Life-prolonging and quality of life-focused approaches to managing cardiovascular disease are not mutually exclusive; many cardiology medications and treatments prolong life while also improving symptom burden. Symptom management, a cornerstone of palliative care, is therefore not only complementary to life-prolonging cardiology treatments, but also integral to optimized daily cardiovascular care. In this review, we aim to summarize relevant literature and provide practical tools that can be used by primary care clinicians, geriatricians, cardiologists and palliative care clinicians to optimize holistic outpatient care for adults who are aging with heart disease. While palliative care is appropriate for any age or stage of illness, we will focus on older adults with heart disease, and the nuances of managing their symptoms, goals of care, and quality of life.
ABSTRACT
OBJECTIVES: Ultrasound (US) is an essential component of emergency department patient care. US machines have become smaller and more affordable. Handheld ultrasound (HUS) machines are even more portable and easy to use at the patient's bedside. However, miniaturization may come with consequences. The ability to accurately interpret ultrasound on a smaller screen is unknown. This pilot study aims to assess how screen size affects the ability of emergency medicine clinicians to accurately interpret US videos. METHODS: This pilot study enrolled a prospective convenience sample of emergency medicine physicians. Participants completed a survey and were randomized to interpret US videos starting with either a phone-sized screen or a laptop-sized screen, switching to the other device at the halfway point. 50 unique US videos depicting right upper quadrant (RUQ) views of the Focused Assessment with Sonography in Trauma (FAST) examination were chosen for inclusion in the study. There were 25 US videos per device. All of the images were previously obtained on a cart-based machine (Mindray M9) and preselected by the study authors. Participants answered "Yes" or "No" in response to whether they identified free fluid. The time that each participant took to interpret each video was also recorded. Following the assessment, participants completed a post-interpretation survey. The goal of the pilot was to determine the accuracy of image interpretation on a small screen as compared to a laptop-sized screen. Statistical analyses were performed using MATLAB (The MathWorks, Inc., Natick, MA). Nonparametric statistical tests were utilized to compare subgroups, with a Wilcoxon signed rank test used for paired data and a Wilcoxon rank sum test for unpaired data. RESULTS: 52 emergency medicine physicians were enrolled in the study. The median accuracy of US interpretation for phone versus laptop image screen was 88.0% and 87.6% (p = 0.67). The mean time to interpret with phone versus laptop screen was 293 and 290 s (p = 0.66). CONCLUSIONS: The study found no statistically significant difference in the accuracy of US interpretation nor time spent interpreting when the pre-selected RUQ videos generated on a cart-based ultrasound machine were reviewed on a phone-sized versus a laptop-sized screen. This pilot study suggests that the accuracy of US interpretation may not be dependent upon the size of the screen utilized.
