Casanegra, Ana I.

Background: Whether oral anticoagulation (OAC) can be discontinued after the resolution of left ventricular thrombus (LVT) remains controversial, particularly in patients without risk factors such as left ventricular aneurysms. This study aimed to identify patients who may safely discontinue OAC. Methods: We conducted a retrospective cohort study of patients with LVT resolution who completed their anticoagulation course and excluded patients with left ventricular (LV) aneurysm. Clinical and echocardiographic factors were compared between patients who experienced LVT recurrence (n = 22) and those without recurrence during follow-up (n = 94). Results: The cohort had a mean age of 64.5 ± 15.0 years, and half (50%) were male. Most had an ischemic cardiomyopathy (64.6%). LVT recurred in 19% (22/116) of patients following initial resolution. Patients with recurrence were older (mean age 71.3 ± 11.9 vs. 63.4 ± 15.7 years, p = 0.03) and were more likely to have prior ischemic stroke and arterial thromboembolism (18.2% vs. 4.3%, p = 0.02 for both). At the time of thrombus resolution, LVEF was significantly lower among patients who had recurrence (33.4 ± 13.6% vs. 42.5 ± 15.5%, p = 0.012). Stroke, systemic embolism, and mortality rates were similar regardless of recurrence status. Recurrence risk by presence or absence of stroke and LEVF >50% on the LVT resolution echocardiogram is shown in Figure 1. Notably, no recurrences were observed among patients with both LVEF > 50% and no history of stroke (0/32), which was statistically significant compared to each other category. Conclusion: Among patients without left ventricular aneurysm who discontinued oral anticoagulation after LVT resolution, those with preserved LVEF (>50%) and no prior history of stroke had a very low risk of recurrence, with no events observed in this subgroup. These findings suggest that some patients may safely discontinue anticoagulation after LVT resolution.

Abstract Patients with cancer and venous thromboembolism (VTE) have higher complication rates of anticoagulation. However, studies supporting this data are relatively old reflecting the era of vitamin K inhibitors. To assess VTE recurrence, major bleeding, and clinically relevant non-major bleeding (CRNMB) in patients (March 1, 2013 to April 30, 2023) with cancer-associated VTE and patients without cancer, the prospective Mayo Clinic Thrombophilia Clinic Registry was analyzed. Over the study period, 4,711 patients with acute VTE were enrolled including 2,064 patients with cancer (mean age 62.5 ± 12.4, 46% female) and 2,647 patients without cancer (mean age 59.4 ± 16.0, 45% female). The most common cancers were gastrointestinal (n = 423, 21%), pancreatic (n = 287, 14%), and genitourinary (n = 198, 10%). Direct oral anticoagulants were used in 1,339 (65%) cancer and in 1,952 (74%) non-cancer patients. Among cancer patients, 12-month Kaplan–Meier probability of VTE recurrence was 2.4-fold greater (7.1% vs. 2.9%, p < 0.001) compared with the non-cancer group, including higher recurrent leg deep vein thrombosis (3.0% vs. 1.4%; p = 0.002) and pulmonary embolism (3.5% vs. 1.0%, p < 0.001). Patients with cancer also had 2.1-fold greater risk of major bleeding (6.3% vs. 3.0%; p < 0.001) including bleeding from the gastrointestinal tract (3.0 vs. 1.4, p = 0.01) compared with patients without cancer. Clinically relevant non-major bleeding events were similar between the groups. In this large prospective registry of VTE management, patients with cancer had significantly higher rates of VTE recurrence and major bleeding compared with patients without cancer, yet the rate of complications are substantially smaller relative to historic values of a prior vitamin K antagonist era.

Ankle brachial index (ABI) can be unreliable in patients with non-compressible vessels. Our aim is to determine the feasibility of toe brachial index (TBI) and reporting criteria in a large population. We evaluated Doppler waveforms and segmental pressures in 26,719 limbs. TBI was obtained in 92.7%, mean TBI = 0.61 ± 0.25. TBI was obtained in 82%of limbs with unobtainable ABI. In hemodynamically normal subgroup (defined as those with normal ankle-brachial indices at rest and after exercise) the mean TBI was 0.84 ± 0.14. In severe PAD subgroup (defined as ABI < 0.5 and monophasic waveforms) the mean TBI was 0.16 ± 0.12. Limbs with a diagnosis of a PAD (ABI ≤ 0.9) had a TBI <0.8 in 99.5% of the cases, and <0.6 in 90% of the cases. A TBI of 0.8 had a negative predictive value for PAD of 0.99. A TBI cutoff of 0.6 had a positive predictive value for PAD of 0.95. Based on these results we propose defining normal TBI above 0.8, borderline between 0.8 and 0.61, abnormal TBI ≤ 0.6 and severe PAD as TBI ≤ 0.2. In conclusion TBI can be reliably measured in patients with PAD and offer valuable information when diagnosing PAD. We present our diagnostic criteria based on clinical data.

Background The vitamin K antagonist, warfarin, is the preferred anticoagulant in patients with antiphospholipid syndrome (APS). Direct oral anticoagulant (DOAC) use in APS is associated with inferior outcomes, including significantly increased odds of arterial thrombotic events, particularly cerebrovascular accidents (CVA). Despite growing evidence supporting warfarin as the preferred first-line agent, DOACs continue to be utilized by providers in the management of APS. The primary aim of this analysis was to scrutinize the patients with a diagnosis of APS and their anticoagulant choices, to identify quality gaps such as unconfirmed diagnosis (with the need for further testing), lack of awareness of the evidence by the prescribing provider or inadequate documentation of risk benefit conversation, versus patient preference and then systematically intervene to reduce the utilization of DOACS in this patient population. Methods We retrospectively reviewed 100 patients with an ICD code diagnosis of APS documented in the electronic health record (EHR) who were recently prescribed a DOAC within Mayo Clinic enterprise. These cases were assessed for appropriateness of the diagnosis (defined as having at least one clinical manifestation of APS, including venous/arterial thrombosis and/or adverse pregnancy outcome in the setting of persistent antiphospholipid antibody (aPL) positivity by Sapporo criteria). aPL positivity was defined as having positive tests on two occasions with a minimum of 12 weeks apart. Antiphospholipid antibody testing included anticardiolipin (aCL) antibodies (IgG and IgM), anti-beta2 glycoprotein I antibodies (IgG and IgM) and lupus anticoagulant (LA). If the patient met diagnostic criteria, they were then risk stratified to identify high-risk cases. High-risk profile was defined as persistently positive levels of all three aPL (triple-positive). Following review for the appropriate diagnosis, intervention gaps were identified, including the need for additional diagnostic testing, provider education, documenting risk-benefits discussion, and removal of APS from the patient's problem list in the EHR. Clinical intervention was done by sending an EHR message to the prescribing provider which included reason for communication, intervention and recommendation. Reminders were sent every 2 weeks to providers who did not respond, with maximum of 3 messages per provider. Results Of the 100 patients, 60/100 (60%) did not meet criteria for APS, as either initial or repeat aPL testing was negative, and therefore were excluded from this project. Within the remaining 40 patients, 17/100 (17%) had thrombotic APS and 23/100 (23%) had unconfirmed diagnosis Reasons for no intervention (20/40) included not meeting criteria for APS, no longer on a DOAC, and risk versus benefits discussion documented. After adjudication only 20 patients qualified for intervention, 10/20 (50%) patients required additional testing due to lack of repeat testing or referral to a specialist, 7/20 (35%) required removal of APS from problem list, and 3/20 (15%) needed provider. Only 12/20 (65%) of providers accepted the recommendation, 7/20 (35%) did not, and 1/20 (5%) did not respond. Conclusions Despite syndrome-defining criteria, APS remains a commonly misdiagnosed condition. Our QI analysis found that more than half of patients in our cohort with HER documented diagnosis of APS did not meet the Sapporo diagnostic criteria. The tested intervention was time-intensive and prospective, which may have contributed to limited provider acceptance. We propose a robust system-based intervention to remedy this quality issue, which will leverage the EHR to create smart tools in the form of order sets and a passive Our Best Practice Advisory alert to highlight incomplete testing or suggest follow up lab testing at 12 weeks. We will also integrate just in time provider education resources and material embedded in the orders. Our future goal is to assess the impact of this intervention with a similarly sampled cohort.

Background: Risk stratification for suspected pulmonary emboli (PE) remains an area of active research. Current risk stratification algorithms have moderate discriminatory capabilities and are guideline-recommended, but they are poorly utilized in practice, with most clinicians relying predominantly on their clinical training and personal “gestalt.” Our group recently derived an Artificial Intelligence (AI) algorithm using electrocardiograms (ECG) to predict the presence of PE (AUC 0.69) on computed tomography scans of the pulmonary arteries (CTPA) in a cohort of 79K patients. Aim: Validate the AI-ECG algorithm in a contemporary dataset of patients with suspected PE. Methods: Emergency Department (ED) visits between 9/1/2022 and 12/31/2023 across the Mayo Clinic Enterprise were searched using a unified data platform. ED visits in patients over 18 years of age with a discretely documented Wells' PE or PERC Rule, a D-dimer result, or a CTPA were included. Only CTPA imaging and D-dimers performed within 48 hours of ED admission were eligible to be included. Patients were included in the final cohort if an ECG was performed within 6 hours of ED admission, D-dimer testing, or CTPA. Patients were considered negative for PE if CTPA was negative, and when this wasn't performed, a negative D-dimer (high sensitivity) or PERC rule of 0 was considered negative. A previously derived Artificial Neural Network algorithm to analyze the ECG to predict PE was applied to the dataset for validation. Results: A total of 27,028 ED visits in 24,288 unique patients meet inclusion criteria. Among this group, the first ED visit with a CTPA and an ECG within 6 hours was included, leaving 18,936 patients for the final validation cohort. The mean age of the cohort was 54.7 (SD 18.7), and 57% were male. Among the entire cohort, 13,573 underwent D-dimer testing for which 4,895 (36%) were positive at standard thresholds. A total of 10,486 patients underwent CTPA (55% of patients evaluated), of which 455 were positive for PE (4.3%). Using the AI-ECG model from the derivation cohort applied to this validation cohort resulted in an AUC of 0.69, identical to the derivation cohort. Using ECG model estimates alone, low (0.74%, n=2447, NPV 99.3%), elevated (2.27%, n=15404, NPV, 97.72%), and high-risk (8.02%, n=1085, NPV 91.98%) categories for PE can be created. A negative D-dimer in the elevated risk group increased the negative predictive value (NPV) to &gt;99.9% and could be used to reduce imaging in this group further. Using the proposed ECG to D-dimer cascade risk stratification could further reduce the need for PE imaging for an overall NPV of 99.9% and sensitivity of 95.2%. We then used additional clinical parameters to train a new algorithm with additional clinical data and the AI-ECG algorithm estimates. Multiple machine learning algorithms were then evaluated in a dataset divided into training (2/3) and testing (1/3) datasets, after downsampling (to address class imbalance). The best results were obtained with AI-ECG results and D-dimer: Ada Boost (AUC 0.93, F1 score 0.895) compared to standard logistic regression (AUC 0.79, F1 score 0.746). The addition of age, sex, and oxygen saturation did not improve model performance. Conclusion: We have now validated the previously derived AI-ANN ECG algorithm for PE in a contemporary and independent cohort and demonstrate potential for integration into clinical PE assessment algorithms. Unlike prior risk stratification processes, ECGs are invariably performed in patients with cardiopulmonary symptoms and have the potential to prevent missed or delayed PE diagnosis by proactively identifying high-risk patients. Additionally, we demonstrate that the results of this algorithm can be combined with D-dimer values, resulting in a simple, powerful, predictive algorithm (AUC 0.93) that pairs cardiovascular electrophysiology with laboratory biomarkers and could lead to a new paradigm in clinical risk stratification for PE.

According to the World Health Organization, cardiovascular disease (CVD) is the leading cause of death among women worldwide, yet its magnitude is often underestimated. Biological and gender differences affect health, diagnosis, and healthcare in numerous ways. The lack of sex and gender awareness in health research and healthcare is an ongoing issue that affects not only research but also treatment and outcomes. The importance of recognizing the impacts of both sex and gender on health and of knowing the differences between the two in healthcare is beginning to gain ground. There is more appreciation of the roles that biological differences (sex) and sociocultural power structures (gender) have, and both sex and gender affect health behavior, the development of diseases, their diagnosis, management, and the long-term effects of an illness. An important issue is the knowledge and awareness of women about vascular diseases. The risk of cardiovascular events is drastically underestimated by women themselves, as well as by those around them. The purpose of this review is to draw attention to improving the medical care and treatment of women with vascular diseases.

Abstract VEXAS (vacuoles, E1 enzyme, X-linked, autoinflammatory, somatic) syndrome, caused by somatic mutations in UBA1, is an autoinflammatory disorder with diverse systemic manifestations. Thrombosis is a prominent clinical feature of VEXAS syndrome. The risk factors and frequency of thrombosis in VEXAS syndrome are not well described, due to the disease’s recent discovery and the paucity of large databases. We evaluated 119 patients with VEXAS syndrome for venous and arterial thrombosis and correlated their presence with clinical outcomes and survival. Thrombosis occurred in 49% of patients, mostly venous thromboembolism (VTE; 41%). Almost two-thirds of VTEs were unprovoked, 41% were recurrent, and 20% occurred despite anticoagulation. The cumulative incidence of VTE was 17% at 1 year from symptom onset and 40% by 5 years. Cardiac and pulmonary inflammatory manifestations were associated with time to VTE. M41L was positively associated specifically with pulmonary embolism by univariate (odds ratio [OR]: 4.58, confidence interval [CI] 1.28-16.21, P = .02) and multivariate (OR: 16.94, CI 1.99-144.3, P = .01) logistic regression. The cumulative incidence of arterial thrombosis was 6% at 1 year and 11% at 5 years. The overall survival of the entire patient cohort at median follow-up time of 4.8 years was 88%, and there was no difference in survival between patients with or without thrombosis (P = .8). Patients with VEXAS syndrome are at high risk of VTE; thromboprophylaxis should administered be in high-risk settings unless strongly contraindicated.