Temporal Trends in the United States Patent Landscape: Innovation in Cardiology Across Industry and Academia.

Background: Novel approaches to diagnostics and therapeutics in medical care reflect the scientific community's evolving understanding of disease states and their clinical implications. Marketable and valuable innovations are generally patented for protection of intellectual property. Here, we explore the landscape of cardiology-related patents in the United States. Methods: All United States patents granted between 2005 and 2020 were included in this study. Keywords filtering was used to identify patents related to cardiovascular medicine. Statistical inference was conducted with the Mann-Kendall trend and analysis of variance tests. The results in this report are entirely reproducible with Python and R scripts available in a publicly accessible repository. Results: Of the 4,453,733 patents issued by the USPTO between 2005 and 2020, 31,048 (0.7%) were identified as cardiology-related patents. We identified the top 10 institutions within the for-profit and not-for-profit categories that were assigned the most cardiology-related patents in this time period. Distributions of number of patents per inventor were heavily right-skewed, with a small number of inventors responsible for a large number of patents each. Patents in the cardiac imaging subgroup took the longest to gain approval after submission (median delay: 3.6 years). Conclusions: By studying the patent universe, we are able to identify underexplored areas within cardiovascular medicine. Obstacles such as long delays between patent application and approval can hamper innovation within a field. As a next step, we aim to use these results to predict the next area within cardiovascular medicine to undergo explosive research and innovation.

Factors Associated With Maintenance of an Improved Ejection Fraction: An Echocardiogram-Based Registry Study.

Background Heart failure with improved ejection fraction (EF) is increasingly recognized as a sizable and distinct entity. While the features associated with improvedEF have been explored and new guidelines have emerged, factors associated with sustaining an improved EF over time have not been defined. We aimed to assess factors associated with maintenance of an improved EF in a large real-world patient cohort. Methods and Results A total of 7070 participants with heart failure with improved EF and a subsequent echocardiogram performed after at least 9 months of follow-up were included in a retrospective cohort study conducted at the Cleveland Clinic in Cleveland, Ohio. Multiple logistic regression models, adjusted for demographics, comorbidities, and medications were built to identify characteristics and therapeutic interventions associated with maintaining an improved EF. Mean age (SD) was 64.9 (13.8) years, 62.7% were men, and 75.1% were White participants. White race and the use of angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, or angiotensin receptor-neprilysin inhibitors were associated with maintaining the EF at least 9 months after EF improvement. In contrast, male sex or having atrial fibrillation/flutter, coronary artery disease, history of myocardial infarction, presence of an implanted cardioverter-defibrillator, and use of loop diuretics were associated with a decline in EF after previously documented improvement. Conclusions Continued use of renin-angiotensin-aldosterone system inhibitors was associated with maintaining the EF beyond the initial improvement phase.

Outcomes of bariatric surgery in patients with left ventricular assist device.

BACKGROUND: Class II obesity affects 1 in 5 patients with left ventricular assist device (LVAD) and is considered a potential barrier to heart transplantation (HT). Studies about the outcomes of bariatric surgery in this population are scarce. METHODS: We identified Medicare beneficiaries who had an LVAD placed from 2012 to 2019 and had at least class II obesity at the time of LVAD placement and identified patients who underwent bariatric surgery during or after the LVAD implantation admission. The primary outcome was major adverse cardiovascular events (MACE) at 30 days (mortality, cerebral hemorrhage, or ischemic stroke) after bariatric surgery. RESULTS: Among patients who underwent LVAD implantation from 2012 to 2019, 2798 (19.4%) had at least class II obesity, and 198 (7.1%) patients had bariatric surgery (24 on same admission and 174 after a median of 702 days). After bariatric surgery in LVAD patients, 30-day MACE was 6.1%, 30-day mortality was <5.5%, and 1-year mortality was 12.6%. Heart failure readmission burden declined after bariatric surgery (incidence rate ratio 0.20 (95% CI 0.11-0.38), p < 0.001). Thirty-seven patients underwent HT after a median of 371 days (IQR 246-575 days), and 13 patients underwent LVAD explant due to recovery. On time-dependent, competing risk, Cox regression, bariatric surgery was associated with a 3-fold higher probability of HT in follow-up compared to patients who did not get bariatric surgery (sub-distribution HR 2.95, 95% CI 2.09-4.17, p < 0.001). CONCLUSIONS: Bariatric surgery in patients with LVAD support is associated with decreased heart failure events and higher chances of heart transplantation.

Parents of healthy children assign lower quality of life measure to scenarios labeled as cancer than to identical scenarios not labeled as cancer.

BACKGROUND: While it is commonly understood that a cancer diagnosis evokes feelings of fear, the effect of labeling a child's illness as "cancer" remains unstudied. We hypothesized that lower health utility scores would be assigned to disease states labeled as cancer compared to identical disease states without the mention of cancer. METHODS: In this randomized study, caregivers of healthy children were asked to assign health utility values to different scenarios written as improving, stable, or worsening. Participants from general pediatric clinics at Eskenazi Health were randomly assigned to either the scenarios labeled as "cancer" or "a serious illness". Participants then rated the scenarios using the Standard Gamble, with laddering of health utilities between 0 (a painless death) and 1 (perfect health). We also gathered subject demographics and assessed the subject's numeracy. RESULTS: We approached 319 subjects and 167 completed the study. Overall median health utilities of "cancer" scenarios were lower than "serious illness" scenarios (0.61 vs. 0.72, p = 0.018). Multivariate regression (with an outcome of having a utility above the 75th percentile) showed no significant effects by race, ethnicity, numeracy, or income level. "Cancer" scenarios remained significantly lower after adjustment for confounders using logistic regression, but only for the more serious scenarios (OR 0.92, p = 0.048). CONCLUSIONS: On average, caregivers with healthy children were shown to take more risk with their treatment options and view their child as having a worse quality of life when they knew the disease was cancer. Awareness of this bias is important when discussing treatments with families, particularly when a risk of cancer is present.