Wysokiński, Waldemar E.

Introduction: Right ventricle (RV) dysfunction linked with acute Pulmonary embolism (PE) is associated with significant mortality. Several studies have documented use of RV free wall strain (RVS) for assessing mortality, but RV free wall systolic (RVSRs) and early diastolic strain rate (RVSRe) have not been explored. Hypothesis: The study aims to assess the RV function in longitudinal domain of contractility using 2 D speckle tracking echocardiography and evaluate if it was able to predict all-cause mortality at 30 days. Methods: This is a single center prospective study done between November 2012 to June 2020. 293 adult patients with acute PE having echocardiogram performed within 24 hours were enrolled and baseline comorbidities were recorded. 2 D Speckle tracking echocardiography was performed offline. Multiple logistic regression analyses and ROC were performed to evaluate if RV Strain (RVS) and strain rate (systolic-SRs, early diastolic-SRe) were able to predict all-cause mortality at 30 days. Results: Mean age was 65 ± 15 years, 60.7 % males and 41% had coronary artery disease, 29% had cancer and 11% had COPD. Mean free wall (FW) RVS was -19.7±7.7%, FW RV SRs was -0.9±0.4 s -1 , FW RV SRe was 0.8±0.3 s -1 . (Figure A) All-cause mortality was present in 11 patients (3.8%) at 30 days, 17 (5.8%) at 3 months and 29 (9.9%) at 6 months. In the Univariate analysis, FW RVS and FW RVSRs were significantly associated with 30 days all-cause, but after adjusting for age, cancer, and COPD, only FW RVSRs remains significant (p=0.02) with an AUC to predict 30-day all-cause mortality of 0.73 (95% CI 0.54-0.88) a cut-off value of -0.7 had a sensitivity of 73% and specificity of 64% (Figure B) Conclusions: The study demonstrated that RV Free wall SRs measured by 2 D STE is a good prognostic indicator for 30 days all-cause mortality in patients with acute PE. This novel modality could be used for risk stratification in the setting of acute PE.

Introduction: Segmental arterial mediolysis (SAM) is nonatherosclerotic and noninflammatory arteriopathy. It commonly affects the abdominal vasculature. There is uncertainty about its presentation, radiological findings, prognosis and management. Hypothesis: The goal of this study is to describe the clinical course and evaluate risk factors for disease progression. Method: Retrospective review of all cases diagnosed with SAM at the Mayo clinic between 2001 and 2014. Medical records were reviewed for demographics, risk factors, laboratory, imaging findings and treatment options at presentation and during follow-up visits. A non-parametric Wilcoxon-rank-sum test and the Chi-Square test were used. Results: Out of 247 reviewed cases, 114 patients were confirmed with SAM and included in the analysis. (69%) were male and a majority (84%) had no other connective tissue disorder. Mean age was (52) years old. Pre-existing hypertension was identified in (48%), hyperlipidemia (31%), migraine (11%) and smoking (32%). The most common symptoms at presentation were abdominal pain (70%), flank pain (21%), back pain (8%) and chest pain (5%). Only (30%) of patients had recurrent symptoms and most (89%) had negative inflammatory markers. On angiography the following arteries were commonly affected: renal (51%), celiac (43%), superior mesenteric (49%), and iliac (18%). At presentation (85%) of patients were found to have mesenteric arterial dissection; (45%) aneurysms; (14%) wind or wall thickening; (21%) occlusion; and (38%) with evidence of end organ ischemia or infarct. 82 patients were followed up with a CT angiogram for an average of 19 months, 17 (20.73%) had evidence of disease progression. (22%) required revascularization. Aspirin (47%) was the most common treatment used followed by anticoagulation (38%), beta blocker (35%) and ACEI/ARB (29%). Risk factors for disease progression are being male (P<0.0173), Hypertension (P<0.0128), hyperlipidemia (P<= 0.0044). The use of antiplatelets and ACEI/ARB was not associated with disease stability. Conclusion: SAM is an arteriopathy that affects the mesenteric arteries in middle age men. Conservative management with control of risk factors and close follow up are preferred approach.

AbstractAimsThe non-invasive calculation of right ventricular (RV) haemodynamics as pulmonary artery (PA) capacitance (PAC) and pulmonary vascular resistance (PVR) have proved to be feasible, easy to perform, and of high prognostic value. We, therefore, evaluated whether baseline PAC and PVR could predict clinical outcomes for patients with acute pulmonary embolism (PE).Methods and resultsWe prospectively followed 373 patients [mean (standard deviation) age, 64.1 (14.9) years; 58.4% were men, and 27.9% had cancer] who had acute PE and transthoracic echocardiography within 1 day of diagnosis from 1 March 2013 through 30 June 2020. Pulmonary artery capacitance was calculated as left ventricular stroke volume/(PA systolic pressure − PA diastolic pressure). Pulmonary vascular resistance was calculated as (tricuspid regurgitant velocity/RV outflow tract velocity time integral) × 10 + 0.16. These two variables were calculated retrospectively from the values obtained with transthoracic echocardiography. Pulmonary artery capacitance was acquired in 99 (27%) patients and PVR in 65 (17%) patients. Univariable and bivariable logistic regression analyses, and receiver operating characteristic curves were used to evaluate the ability of these haemodynamic measurements to predict mortality up to 6 months. After using bivariable models to adjust individually for age, cancer, and pulmonary hypertension. Pulmonary vascular resistance was associated with all-cause mortality at 3 months [area under the curve (AUC) 0.75, 95% confidence interval (CI) 0.61–0.86; P = 0.01], and 6 months (AUC 0.81; 95% CI 0.69–0.91; P≤ 0.03). Pulmonary artery capacitance was associated with all-cause mortality at 30 days (AUC 0.95; 95% CI 0.82–0.99; P &lt; 0.001) and 3 months (AUC 0.84; 95% CI 0.65–0.99; P = 0.003).ConclusionNon-invasive measurement of RV haemodynamics could provide prognostic information of patients with acute PE. Pulmonary artery capacitance and PVR are potentially important predictors of all-cause mortality in these patients and should be explored in future studies.

Objective To investigate the association of mitral regurgitation (MR) on thromboembolic risk of patients with non-valvular atrial fibrillation (NVAF) undergoing transoesophageal echocardiography (TEE)-guided cardioversion. Methods Data for consecutive patients who underwent TEE-guided cardioversion for NVAF between 2000 and 2012 were analysed. MR severity was assessed by Doppler echocardiography and classified as ≤mild, moderate or severe. Left atrial appendage emptying velocities were averaged for five consecutive cycles. Multivariable regression models were used to identify independent predictors of left atrial appendage thrombus (LAAT) and stroke. Results 2950 patients (age, 69.3±12.2 years, 67% men) were analysed. 2173 (73.7%) had ≤mild MR; 631 (21.4%), moderate MR; and 146 (4.9%), severe MR. Patients with moderate (age, 72.4±10.7 years) and severe (age, 72.8±12.1 years) MR were older than those with ≤mild MR (age, 68.2±12.5 years). The prevalence of LAAT was 1.5% (n=43). CHA 2 DS 2 -VASc scores (≤mild MR, 3.0±1.6; moderate MR, 3.5±1.5; severe MR, 3.9±1.5; p<0.001) and heart failure frequency (≤mild MR, 38.4%; moderate MR, 48.0%; severe MR, 69.2%; p<0.001) were increasingly higher with greater MR severity. Multivariable logistic regression analysis showed no association of moderate MR (OR 0.77, 95% CI 0.38 to 1.56) or severe MR (OR 0.55, 95% CI 0.21 to 1.49) with LAAT. During a mean follow-up of 7.3±5.1 years (median 7.5, IQR, 2.7–10.9), 216 patients had an ischaemic stroke. Adjusted Cox regression analysis showed no significant association of moderate MR (HR 1.22, 95% CI 0.88 to 1.68) or severe MR (HR 0.73, 95% CI 0.31 to 1.46) with stroke. Conclusions Among patients with NVAF, the presence or severity of MR was not associated with a decreased risk of LAAT or stroke.

Abstract Background: Reduced or low-dose direct oral anticoagulants (DOACs) have been studied in randomized control trials for the extended prevention of venous thromboembolism (VTE) after 6 months of treatment at the therapeutic doses. The real-world effectiveness as well as utilization of this approach in clinical practice compared to continuing at therapeutic doses is unknown. Aims: Evaluate the efficacy of reduced-dose DOACs compared to standard therapeutic anticoagulation in patients with extended anticoagulation. Methods: Consecutive patients with VTE were identified using the Mayo Clinic VTE Registry from March 1st , 2013 to December 31st, 2020. Patients were followed prospectively for outcomes of VTE recurrence, death, major bleeding and clinically relevant non major bleeding (CRNMB) either in person or by survey. Type of anticoagulation and dose changes were recorded, and progressing to a low dose was treated as an endpoint. In the models relating it to the outcome, it was treated as a time-dependent covariate in the cox models. After completing standard anticoagulation treatment for 3 months with any anticoagulant, patients continuing anticoagulation were divided into two groups: standard therapeutic anticoagulation (any drug) vs those who transitioned to rivaroxaban 10 mg daily or apixaban 2.5mg twice daily any time after 3 months. Patients with recurrent VTE, major or CRNMB during the first 3 months were excluded from further analysis. Results: 219 patients (153 on Apixaban and 66 on Rivaroxaban) were identified in the low dose DOAC and 2521 in the standard anticoagulation group. The mean age was 60.7 years, mean weight was 93.2 Kg and 55.9% were males (Table 1). Patients on low dose DOACs were about the same age and weight compared to standard anticoagulation group. Among all diagnosis categories, patients with active cancer were less likely to be prescribed low dose DOACs (HR 0.56; 95%CI 0.42-0.73; P&lt;0.001), while low dose DOACs prescription was more likely in patients with pulmonary embolism (HR 1.45; 95%CI 1.11-1.89; P=0.007). The median months to start a low dose DOAC after completing the 3 months was 3.1 months with standard deviation of 6.6 months and interquartile range 2.8 months. There was no statistically significant association in the likelihood of going to a low dose group in relation to VTE recurrence (HR 1.36; 95%CI 0.42-4.45; P=0.61) or major bleeding (HR 0.59; 95%CI 0.08-4.37; P=0.61). However, transitioning to low dose DOAC was associated with reduced mortality (HR 0.53; 95%CI 0.35-0.80; P=0.003). Also, patients on low dose DOACs were more likely to have a CRNMB (HR 2.76; 95%CI 1.15-6.62; P=0.02). Conclusion: In this study of patients continuing anticoagulation past 3 months for an initial acute venous thromboembolic event, transitioning to low dose DOACs was not associated with any statistically significant association with VTE recurrence or major bleeding. However, mortality was lower and CRNMB was higher in this unadjusted analysis. Our results show that physicians are not always waiting until 6 months to transition to low doses and low doses are being utilized in cancer patients. Further research is needed to better understand the higher risk for CRNMB identified in this group. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Abstract Introduction: Patients with coronavirus disease 2019 (COVID-19) have an increased risk for venous thromboembolic events. Thrombotic events contribute to the morbidity and mortality associated with COVID-19 infection, and have prompted investigation into strategies for mitigating thrombosis risk in patients hospitalized with COVID-19 infection. Our team reviewed the charts of patients hospitalized with COVID-19 pneumonia at a tertiary hospital in metropolitan Phoenix Arizona between 2020-2021, to assess frequency and efficacy of utilizing a VTE prophylaxis algorithm designed to prevent thrombosis in patients infected with COVID-19. Methods: A total of 846 patients were retrospectively evaluated to determine if they were treated with guideline-appropriate anticoagulation while hospitalized with COVID-19, as well as if they developed venous or arterial thrombotic events, or major or minor bleeds. 317 patients were excluded for taking therapeutic anticoagulation prior to admission, or for having a COVID-19 diagnosis &gt;7 days after admission. Appropriate anticoagulation was determined by an institutionally designed COVID-19 thromboprophylaxis algorithm, based on platelet count, d-dimer, bleeding risk, and level of medical care required. Regimen options included: no anticoagulation, prophylactic enoxaparin (40 mg SQ daily) or heparin in the setting of kidney dysfunction, weight-based dosing of enoxaparin (40 mg SQ BID if BMI&gt;40), intermediate intensity enoxaparin without thrombus (30 mg BID if BMI&lt;40, or 40 mg BID if BMI&gt;40), and therapeutic anticoagulation (for example enoxaparin 1 mg/kg BID) with thrombus. Demographics: Demographic data and clinical characteristics were collected for 529 patients. Average age was 59 years old, and the majority were men (58.4%). Most patients were White (58.3%), followed by Hispanic (17.8%), or Native American (15.7%). Fewer patients had a normal BMI (21.3%; BMI 18.5 - 24.9) compared to those who were overweight (31.2%; BMI 25-29.9) or obese (43.1% BMI &gt; 30). Other comorbidities included Type 1 or Type 2 diabetes mellitus (N= 172, 32.5%), hypertension (N = 271, 51.2%), and hyperlipidemia (N = 176, 33.3%). Results: A total of 42 patients (8%), were diagnosed with a venous thrombosis during hospitalization. Patients admitted to the ICU were significantly more likely to have a thrombotic event of any type compared to non-ICU patients (21.6% to 5.7%; p &lt; 0.001). Specifically, critically ill patients had higher incidences of deep vein thrombosis (9.5% to 0.7%), pulmonary emboli (8.1% to 4.8%), and superficial thrombi (2.7% to 0.2%). Only 1.1% of patients (6/529) experienced any bleeding, of which 3 were classified as a major bleed. Discussion: Among patients hospitalized at our institution with COVID-19, the majority were anticoagulated appropriately according to the COVID-19 thromboprophylaxis algorithm. Overall incidence of thrombosis in the study population was 8%. A significantly higher percent of critically ill patients had thrombi, supporting reports of correlation between severity of illness and thrombosis risk. The two regimens of anticoagulation least adhered to were weight-based and intermediate-based dosing, likely reflecting a departure from the hospital's thromboprophylaxis regimens prior to COVID-19 pandemic. Further studies are needed to characterize whether identifiable risk factors correlate with the incidence of thrombosis, and whether treatment with lower than recommended doses of anticoagulation, based on the COVID-19 thromboprophylaxis algorithm, were associated with thrombosis. Disclosures No relevant conflicts of interest to declare.

Abstract Background: COVID-19 vaccinations in the United States (Janssen, Moderna, and Pfizer) have been deemed generally safe and effective. Rare thrombotic events, now termed vaccine-induced thrombotic thrombocytopenia (VITT), have been reported after the Janssen and Moderna vaccinations. With millions of vaccinations being administered to adults, it is expected that some deep vein thrombosis (DVT) will occur coincidentally with vaccination. Whether COVID-19 vaccinations may contribute to DVT risk more generally (outside of VITT) has not been well studied outside of the initial clinical trials. Aims: Evaluate trends in DVT diagnosis before and after COVID-19 vaccination Methods: Vaccinated patients ≥ 18 years between 11/6/2020 through 6/1/2021 were analyzed using electronic medical records across the Mayo Clinic enterprise. Upper and lower DVT venous Duplex ultrasound (DUS) reports occurring 90 days before and after vaccination date (first dose for Pfizer and Moderna vaccines) were extracted and analyzed with a highly accurate, previously validated, Natural Language Processing (NLP) algorithm for acute DVT. Results: 382,527 patients with at least 1 COVID-19 vaccination were identified. The median age was 61 (IQR 44-72) and 55.3% were male. Pfizer was the most common vaccine administered (n=245,572, 64.2%), followed by Moderna (n=120,683, 31.6%) and Janssen (n=16,272, 4.3%). Most patients (91.5%) receiving vaccinations were from states with Mayo Clinic health services (Minnesota, n=197,834; Wisconsin, n=80,720; Florida, n=42,391; Arizona, n=28,882). The mean age at vaccination was 61.0 (SD 17.7), 56.5 (SD 19.1), and 54.7 (SD 16.3) for Moderna, Pfizer, and Janssen vaccines respectively. Women were most likely to receive the Pfizer (56.3%) compared to Moderna (54.1%) and Janssen (49.5%) vaccines. Non-white patients were most likely to receive Janssen (21%) compared to Moderna (7.7%) and Pfizer (8.2%) vaccines. Among all patients, 7,265 upper and lower venous DUS were performed in 5,960 patients. Figure 1 shows the utilization of DUS before and after COVID-19 vaccination and shows that more patients underwent DUS in the 90 days after vaccination compared to 90 days pre-vaccination. Acute DVT was identified by the NLP algorithm in 808 (714 patients) ultrasounds (11.1%); 656 out of 6136 lower extremity DUS (10.7%) and 152 out of 1129 upper extremity DUS (13.5%). The overall rate of acute DVT (upper and lower) was 1.86 per 1000 patients, consistent with the expected background epidemiologic rate. Figure 2 shows the daily probability of acute DVT by ultrasound report in the 90 days before and after vaccination with a linear regression best fit line showing no overall correlation (R 2 = 0.0). Overall acute DVT post-vaccination occurred on 10.8% of DUS compared to 11.6% pre-vaccination (p=0.28). Among ultrasound reports in Janssen vaccinated patients, 7.0% of post-vaccination compared to 18.0% of pre-vaccination were positive for acute DVT (p=0.003). Among ultrasound reports in Moderna vaccinated patients, 11.0% of post-vaccination compared to 12.7% of pre-vaccination were positive for acute DVT (p=0.15). Among ultrasound reports in Pfizer vaccinated patients, 11.0% of post-vaccination compared to 10.4% of pre-vaccination were positive for acute DVT (p=0.56). Using a Cox proportional hazard model, pre vs post-vaccination time among the same patient cohort was compared for each vaccine. The hazard ratio for DVT post-vaccination was 0.68 (95% CI 0.34-1.38) for Janssen, 1.08 (95% CI 0.86-1.35) for Moderna, and 1.20 (95% CI 0.99-1.46) for Pfizer. After adjusting for age and sex, Pfizer and Janssen's vaccines did not have different risks for DVT compared to Moderna in the 90 days post-vaccination (HR 0.80, 95% CI 0.98-1.25 and HR 0.75, 95% CI 0.42-1.32 respectively). Conclusions: In this large cohort of COVID-19 vaccinated patients, no increased risk for acute DVT post-vaccination was identified for any of the approved vaccinations in the United States. Additionally, no significant difference was seen in the risk for DVT post-vaccination when comparing each vaccine to each other. The probability of acute DVT on ultrasounds in the 90 days post-vaccination was lower than the pre-vaccination period with the Janssen vaccine possibly indicating over-testing in this group. These results provide additional reassurance of the safety of approved COVID-19 vaccines. Figure 1 Figure 1. Disclosures Padmanabhan: Veralox Therapeutics: Membership on an entity's Board of Directors or advisory committees. Pruthi: HEMA Biologics: Honoraria; CSL Behring: Honoraria; Genentech: Honoraria; Instrumentation Laboratory: Honoraria; Bayer Healthcare AG: Honoraria; Merck: Honoraria.

Abstract Background The non-invasive calculation of right ventricular hemodynamics such as the pulmonary artery capacitance (PAC) has proven to be feasible and easy to perform. The simplified pulmonary embolism severity index (sPESI) and pulmonary vascular resistance (PVR) are other prognostic tools that have been used in the past. Purpose To evaluate if baseline PAC can outperform PVR and sPESI to predict all-cause short-term mortality in patients with acute pulmonary embolism (PE). Methods 373 patients with acute PE and a transthoracic echocardiogram performed within one day of diagnosis from March 2013 through June 2020 were followed prospectively. PAC was calculated as: Left ventricular stroke volume/ (Pulmonary artery systolic pressure – Pulmonary artery diastolic pressure). PVR was calculated as: Tricuspid regurgitant velocity / Right ventricular outflow tract velocity time integral x 10 + 0.16. The sPESI was used to evaluate prognosis by categorizing patients into low and high-risk categories. Multiple logistic regression analyses and receiver-operating characteristic curves were used to evaluate the ability of PAC, PVR, and sPESI to predict all-cause mortality up to six months. The Youden index was used to determine the cut-off value with the highest sensitivity and specificity. Kaplan–Meier curves were performed to determine event-free survival rate, differences between groups were assessed using the Wilcoxon Test. Results Mean age was 64±15 years (58% male, 28% cancer). PAC was associated with mortality at thirty days (p 0.0003), three months (p 0.003), and six months (p 0.011) (Table). PVR was associated with mortality at thirty days, three months, and six months (p 0.045, 0.012, and 0.031 respectively). The sPESI score ≥1 (high risk) was associated with all-cause mortality at three months and six months (p 0.0136 and &lt;0.0001 respectively). PAC was the strongest predictor of all-cause mortality with an AUC of 0.95 (CI 0.82- 0.99) at thirty days, 0.84 (CI 0.65–0.99) at three months, and 0.77 (CI 0.57–0.96) for six months. Corresponding Kaplan-Meier survival curve of PAC and thirty days all-cause mortality is presented in the Figure. PVR had an AUC of 0.75 (CI 0.48–0.95) at thirty days, 0.79 (CI 0.58–0.94) at three months, and 0.72 (CI 0.50–0.90) at six months. The sPESI had an AUC of 0.62 (CI 0.54–0.66) at three months and 0.64 (CI 0.59–0.67) at six months. Conclusion In patients with acute PE, PAC outperforms sPESI and PVR as a predictor of short-term all-cause mortality at thirty days, three months, and six months. These three variables should be explored head to head prospectively for their utility to predict short term all-cause mortality. Funding Acknowledgement Type of funding sources: None.