Citations

Abstract Context A national assessment of osteoporosis drug therapy (ODT) use can inform the extent of underdiagnosis and undertreatment of osteoporosis. Objective The aim was to describe trends in ODT use by age, sex, fragility fracture, and documented osteoporosis. Methods This was a retrospective analysis of patient-quarter observations for adults aged ≥50 years with commercial or Medicare Advantage health insurance in the OptumLabs Data Warehouse between 2011 and 2022. The primary outcome was the proportion of patient-quarter observations with ODT use stratified by age, sex, fragility fracture, and documented osteoporosis. Cuzick tests were performed to assess trends ODT use. Results Analysis of 166 673 420 patient-quarter observations revealed that over 70% of patients with fragility fractures did not have documented osteoporosis. Among women aged ≥65 years with documented osteoporosis, ODT fill rates increased between 2011 and 2022 from 36.3% to 50.1% for women without fragility fractures (P < .001) and from 30.8% to 43.7% for women with fragility fractures (P < .001). However, ODT fill rates declined (9.2% to 7.4% between 2011 and 2022) for women with fragility fractures and no documented osteoporosis (P = .015). Similar trends were observed among women aged 50-64 years and men. Conclusion ODT use for patients with documented osteoporosis has increased but remains low. Low rates of ODT use for patients with fragility fractures in the absence of documented osteoporosis suggests that underdiagnosis of osteoporosis contributes to underuse of ODTs.

Bioprosthetic aortic valve degeneration (BAVD) is a significant clinical concern following both transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR). The increasing use of bioprosthetic valves in aortic valve replacement in younger patients and the subsequent rise in cases of BAVD are acknowledged in this review which aims to provide a comprehensive overview of the incidence, diagnosis, predictors, and management of BAVD. Based on a thorough review of the existing literature, this article provides an updated overview of the biological mechanisms underlying valve degeneration, including calcification, structural deterioration, and inflammatory processes and addresses the various risk factors contributing to BAVD, such as patient demographics, comorbidities, and procedural variables. The difficulties in early detection and accurate diagnosis of BAVD are discussed with an emphasis on the need for improved imaging techniques. The incidence and progression of BAVD in patients undergoing TAVR versus SAVR are compared, providing insights into the differences and similarities between the two procedures and procedural impacts on valve longevity. The current strategies for managing BAVD, including re-intervention options of redo surgery and valve-in-valve TAVR, along with emerging treatments are discussed. The controversies in the existing literature are highlighted to offer directions for future investigations to enhance the understanding and management of BAVD.

Abstract Introduction: Patient and stakeholder involvement enhances the conduct and applicability of comparative effectiveness research (CER). However, examples of engagement practices for CER leveraging real-world data (i.e., data from routine clinical practice) are scarce. Notably, these studies differ from traditional clinical trials in their technical complexity and minimal prospective data collection, posing unique challenges for stakeholder involvement. This paper describes patient and stakeholder engagement in a CER study of type 2 diabetes (T2D) medications using real-world data from a large administrative claims database. Methods: A Patient and Stakeholder Advisory Group (PSAG) was formed to guide study design, conduct, and dissemination. The PSAG (n = 12) included individuals with T2D, clinicians, health systems leaders, professional society representatives, and a payer representative. Members were surveyed post-study initiation to assess their participation goals and experiences to date. Results: PSAG members influenced key design and methodological decisions, including cohort selection and adding an aim focused on patient preference elicitation. Survey results indicated high satisfaction with engagement processes and a desire for ongoing involvement. Most PSAG members cited their main goals as impacting the lives of people with T2D and ensuring the research’s relevance to clinicians. Conclusions: Best practices for engaging stakeholders in CER using real-world data are underdeveloped. Our experience suggests that an inclusive, stakeholder-engaged approach enriches the research process and ensures diverse perspectives are integrated into study design and conduct. Ongoing efforts will focus on assessing long-term engagement outcomes and PSAG member satisfaction.

Abstract Critical findings in radiology reports are life threatening conditions that need to be communicated promptly to physicians (“critical findings”) for timely man-agement of patients. Flagging radiology reports of such incidents could facilitate opportune communication of critical findings. With advancements in natural language processing (NLP), large language models (LLMs) can be trained with task-specific instructions and examples to mine information from narrative texts. We believe that similar methods can be applied to radiology reports to identify and extract critical findings from these reports. However, due to the rarity of such critical events, there is a dearth of manually labeled datasets of critical findings in radiology reports. To overcome this limitation, we train instruction-tuned MISTRAL-based language models in a two-phase weakly supervised fine-tuning setup on unlabeled radiology reports from Mayo Clinic (n=15000). The weakly fine-tuned model is then used to automatically extract critical terms from both internal and external test datasets - Mayo Clinic (n=80) and MIMIC-III (n=123) 1 respectively against the expert-annotation. We also evaluated performance of the models on a large-scale MIMIC-IV reports (n=5000) using automated LLM-aided evaluation metrics - G-eval and Prometheus. We observe that, for both manual and LLM-based evaluations, weakly supervised fine-tuning improves model performance, showing successful task-specific alignment. For community use, we released the trained model with open-source academic license∗

AimThis study aimed to evaluate the impact of intraoperative direct sonication on the yield of traditional culture and the time to positivity (TTP) of cultures obtained for periprosthetic joint infection (PJI), thereby assessing its potential to improve diagnostic efficiency and reduce contamination risk.MethodA prospective cohort study was conducted at a tertiary care center, involving 190 patients undergoing revision surgery for PJI from August 2021 to January 2024. Patients were included based on the 2018 International Consensus Meeting definition of PJI. The study utilized a novel sonication protocol, which involved direct intraoperative sonication of the implant and tissue, followed by incubation in a BACT/ALERT 3D system. The primary outcomes measured were the number and percentage of positive culture samples, identified microorganisms, and the TTP of each culture. Statistical analysis was performed using R software, with various tests applied to assess the significance of findings.ResultsThe study included 510 positive cultures from 190 patients, demonstrating that sonication significantly improved the positivity rate for both tissue and prosthesis specimens (p < 0.05). The median TTP for all samples was 3.13 days, with sonicated samples showing a significantly shorter TTP compared to non-sonicated samples (p < 0.05). Specifically, the shortest median TTP was observed in prosthesis post-sonication samples. Furthermore, the study found that Gram-positive organisms had a shorter TTP than gram-negative organisms, and specific microorganisms like Staphylococcus aureus and MRSE showed the fastest TTP. The analysis also revealed higher positivity rates in chronic PJIs compared to acute PJIs for sonicated tissue samples.ConclusionsThe study demonstrates that intraoperative direct sonication combined with the BACT/ALERT 3D system can significantly enhance the diagnostic yield of cultures and reduce the TTP for common PJI pathogens. This novel technique not only improves pathogen detection, facilitating the tailoring of antibiotic therapy, but also potentially reduces the risk of contamination associated with sonication. These findings suggest that direct intraoperative sonication could be a valuable addition to the current diagnostic protocols for PJI, contributing to more effective management and treatment of this complex condition. Further research is necessary to explore the clinical significance of TTP and its correlation with patient outcomes in PJI.

Background Lipoprotein(a) [Lp(a)] is an independent, causal risk factor for cardiovascular disease. However, it is still unclear whether controlling low-density lipoprotein cholesterol (LDL-C) to optimal levels can attenuate cardiovascular risk mediated by elevated Lp(a), especially in the setting of secondary prevention. Methods Adult patients with a baseline Lp(a) measurement who underwent percutaneous coronary intervention (PCI) and reached their LDL-C target levels (<70 mg/dl) at Mayo Clinic sites between 2006 and 2017 were included. Primary outcomes included major adverse cardiovascular events (MACE) and all-cause mortality. Kaplan–Meier curves were created to compare the survival probabilities among patients with Lp(a) ≥ 50 mg/dl compared with Lp(a) < 50 mg/dl. Multivariable Cox regression analyses were performed to quantify the association of elevated Lp(a) with our relevant outcomes and to control for possible confounders. Results In total, 878 patients (median age: 68 years, and 74% males) who underwent PCI were included for analysis. Of them, 29.7% had elevated Lp(a) ≥ 50 mg/dl. Kaplan–Meier curves did not reveal any significant difference in survival probabilities for elevated Lp(a) for any outcome including MACE (P = 0.91), all-cause mortality (P = 0.26), or the separate MACE components. Similarly, the multivariable analysis showed no significant association for MACE (hazard ratio: 1.07, 95% confidence interval: 0.84–1.37) or all-cause mortality (hazard ratio: 0.98, 95% confidence interval: 0.74–1.30). Conclusion In patients who underwent PCI and have their LDL-C controlled below 70 mg/dl, no significant association was found between elevated Lp(a) ≥ 50 mg/dl and risk for MACE or all-cause mortality.

Introduction: Endothelin receptor antagonists (ERAs) are the mainstay therapy for pulmonary arterial hypertension (PAH). However, there is limited data on cardiac adverse drug events (ADEs) associated with ERA medications. We performed a pharmacovigilance study comparing bosentan and ambrisentan using the FDA Adverse Event Reporting System (FAERS) data. Methods: Cardiac ADE data for bosentan and ambrisentan from January 1, 2004, to December 31, 2023, in the FAERS database were retrieved. Disproportionality analysis was performed by calculating the reporting odds ratio (ROR) aligned with p-values. The following cardiac ADEs were included: atrial fibrillation (AF), right ventricular failure (RVF), and cardiac arrest (CA). Results: For adults ≥ 18 years, a total of 12,058 cardiac ADEs were reported for both bosentan (38%) and ambrisentan (62%). Among the selected cardiac ADEs, AF was more frequently reported with bosentan (ROR 3.99, 95% CI: 3.62-4.40) than ambrisentan (ROR 1.91, 95% CI: 1.77-2.07). RVF showed a significantly higher ROR for bosentan (73.60, 95% CI: 66.68-81.25) than ambrisentan (23.11, 95% CI: 20.99-25.46). CA was also more commonly associated with bosentan (ROR 2.25, 95% CI: 1.98-2.55) than with ambrisentan (ROR 0.69, 95% CI: 0.61-0.78), with all comparisons showing p-values < 0.001. Conclusion: Our study identifies a significantly higher frequency of cardiac ADEs, particularly AF, RVF, and CA, in patients treated with bosentan compared to ambrisentan. This finding corroborates previous literature that has suggested differential safety profiles among ERAs, emphasizing the need for vigilant cardiac monitoring. Clinicians should integrate these insights into their practice, potentially favoring ambrisentan in patients with elevated cardiac risk, thus optimizing the management of PAH and improving patient outcomes.

Introduction/Background: Patients with heart failure and those waiting for a heart transplant often experience a significant decrease in their ability to perform daily activities and exercise, leading to a lower quality of life. Although exercise-based cardiac rehabilitation (EBCR) is a possible treatment option, its effectiveness has not been well measured, resulting in limited adoption. Research Questions/Hypothesis: Could physical rehabilitation before receiving a heart transplant improve functional status and better outcomes? Goals/Aims: Our objective is to evaluate the effect of pre-transplant physical therapy on the standardized improvement of AM-PAC scores, measured from the earliest pre-transplant assessment to the most recent pre-transplant evaluation. Our second objective is to assess the impact of the latest Pre-Transplant AM-PAC Score on the number of hospital-free days following transplantation. Methods: We conducted a retrospective study on 91 heart transplant patients who received Impella support from January 2019 to April 2023, approved by the Mayo Clinic Institutional Review Board. We collected data on demographics, AMPAC scores, and outcomes at three time points. Continuous variables were compared using the T-test or Mann-Whitney test, and categorical variables using the Chi-square or Fisher's exact test. We used a linear regression model to investigate the relationship between rehabilitation duration and AMPAC scores. Quantile regression was preferred due to the non-normal distribution of the outcome, hospital-free days. Results: We conducted a linear regression analysis and found a statistically significant association between increased hours spent in PT and greater improvement. After one hour of physical therapy, there was an average increase of 1.07 (95% CI 0.1, 2; p=0.03) in AMPAC scoore. We also compared the change in the AMPAC score with hospital-free days, and it was statistically significant in quantile regression analysis, indicating an increase of 0.28 (95% CI 0.2, 0.55; P=0.03) points in the AMPAC Score, corresponding to an additional hospital-free day. Conclusion: Increased hours spent in physical therapy show a significant positive association with greater improvement in standardized AM-PAC Mobility scores and hospital-free days. These findings encourage increasing uptake and support of cardiac rehabilitation programs.

Introduction: Pulmonary hypertension (PHTN) is common in patients with chronic kidney disease (CKD), however categorization as precapillary or postcapillary is challenging due to the need for invasive right heart catheterization (RHC). Studies have validated transthoracic echocardiography (TTE) to characterize PHTN and ECG-artificial intelligence (AI) to predict diastolic dysfunction risk. The utility of these noninvasive tools in patients with CKD is unknown. Methods: Retrospective analysis of patients with end stage CKD who underwent RHC between 2011 and 2021. Patients with PHTN (pulmonary artery pressure >20mmHg on RHC) were categorized as having precapillary (pulmonary capillary wedge pressure, PCWP, ≤15mmHg and pulmonary vascular resistance, PVR, >2WU) or postcapillary PHTN (PCWP >15mmHg and PVR ≤2WU for isolated postcapillary or PVR >2WU for combined). TTE and ECG within 3 months of RHC were obtained. TTE measurements were used to calculate ePLAR (echocardiographic pulmonary to left atrial ratio); tricuspid regurgitant peak velocity (TRV max ) divided by mitral E/e’. ECGs were analyzed with an AI risk tool for diastolic dysfunction (score 0-3, increasing with increasing risk). Receiver operating curves (ROC) evaluated the performance of these tests. Results: 60 patients were included; 16 (27%) with precapillary and 44 (73%) with postcapillary PHTN. ROC analysis found good accuracy for both ECG-AI diastolic dysfunction risk score to predict precapillary PHTN with AUC 0.724 (sensitivity=60% and specificity=88% for an ECG score value ≤1) and ePLAR with AUC 0.715 (sensitivity=75% and specificity=70% for ePLAR >0.17m/sec). Highest accuracy for detection of precapillary PHTN was reached by combination of ePLAR and ECG-AI tool, with AUC 0.756 (sensitivity=73%, accuracy of 86% for a value ≤1.17). Conclusions: ECG-AI generated diastolic risk score of 0-1 (low risk) and high ePLAR showed good accuracy in characterizing precapillary PHTN in patients with end stage CKD. The combination of these noninvasive tools further increased the diagnostic accuracy, reflecting its potential utility in classification of patients with CKD and PHTN, a crucial determinant of the ideal therapeutic plan in kidney transplant candidates.

Background: ICI-related myocarditis is challenging to diagnose and associated with adverse cardiovascular events and mortality. ICI therapy has also been associated with acute coronary events. There is limited data regarding cardiac troponin T (cTnT) and its association with these cardiovascular outcomes. Methods: All patients treated with ICI at a tertiary institution from 2011 to 2022 were identified, and the charts of those with cTnT measurements were reviewed. In patients with cTnT elevation (cutoff of >14 ng/L), if the Bonaca criteria for myocarditis were met, these patients were labeled as cTnT+/myocarditis+, otherwise as cTnT+/myocarditis-. Patients with non-elevated cTnT values were labeled cTnT-. Medical records were reviewed for baseline characteristics and long-term outcomes, including cardiac death, new heart failure (HF) diagnosis, and MACE (myocardial infarction, TIA/stroke, new HF diagnosis). Kaplan-Meier curves were created to plot the comparison between the three groups. Results: A total of 1669 cancer patients who received ICI therapy had post-ICI cTnT measurements. Mean age was 68.7±11.3, 58.3% were male, with follow-up at 1 year post ICI administration. Of these, 59 patients were cTnT+/myocarditis+, 1077 patients were cTnT+/myocarditis-, and 533 were cTnT-. Survival free of cardiac death, MACE and new HF diagnosis showed a graded response from worst in cTnT+/myocarditis+ patients and best in cTnT- patients; cTnT+/myocarditis- patients had a more favorable but still worse prognosis than cTnT- patients (Figure 1). A cTnT value of 95 ng/L was identified as the best cutoff for the diagnosis of ICI-related myocarditis (AUC 0.82, sensitivity 81.36%, specificity 81.62%). The optimal cTnT cutoff for cardiac death was 576 ng/L (0.70, sensitivity 72%, specificity of 61%) and for MACE 319 ng/L (AUC 0.61, sensitivity 70%, specificity of 52%). Conclusion: In cancer patients receiving ICI therapy cTnT elevations indicate a higher risk of MACE, HF, and cardiac mortality even in patients without myocarditis. Although worst outcomes are seen in those meeting diagnostic criteria for myocarditis.