Surgical Aortic Valve Replacement to Treat Prosthetic Valve Endocarditis After Valve-in-Valve Transcatheter Aortic Valve Replacement.

Prosthetic valve endocarditis (PVE) is an uncommon complication after heart valve replacement surgery that can result in increased morbidity and mortality. Current guidelines for management of PVE recommend antibiotic therapy followed by surgical valve replacement. The number of aortic valve replacements is expected to rise in the coming years with the expanded indications for use of transcatheter aortic valve replacement (TAVR) in patients with low, intermediate, and high surgical risk, as well as in patients with a failed aortic bioprosthetic valve. Current guidelines do not address the use of valve-in-valve (ViV) TAVR for management of PVE in patients who are at high risk for surgical intervention. The authors present a case of a patient with aortic valve PVE after surgical aortic valve replacement (SAVR); he was treated with valve-in-valve (ViV) TAVR due to the high surgical risk. The patient was discharged, but he returned to the hospital with PVE and valve dehiscence 14 months after ViV TAVR, after which he successfully underwent re-operative SAVR.

SARS-COV-ATE risk assessment model for arterial thromboembolism in COVID-19.

Patients with SARS-CoV-2 infection are at an increased risk of cardiovascular and thrombotic complications conferring an extremely poor prognosis. COVID-19 infection is known to be an independent risk factor for acute ischemic stroke and myocardial infarction (MI). We developed a risk assessment model (RAM) to stratify hospitalized COVID-19 patients for arterial thromboembolism (ATE). This multicenter, retrospective study included adult COVID-19 patients admitted between 3/1/2020 and 9/5/2021. Among 3531 patients from the training cohort, 15.5% developed acute in-hospital ATE, including stroke, MI, and other ATE, compared to 13.4% in the validation cohort. The 16-item final score was named SARS-COV-ATE (Sex: male = 1, Age [40-59 = 2, > 60 = 4], Race: non-African American = 1, Smoking = 1 and Systolic blood pressure elevation = 1, Creatinine elevation = 1; Over the range: leukocytes/lactate dehydrogenase/interleukin-6, B-type natriuretic peptide = 1, Vascular disease (cardiovascular/cerebrovascular = 1), Aspartate aminotransferase = 1, Troponin-I [> 0.04 ng/mL = 1, troponin-I > 0.09 ng/mL = 3], Electrolytes derangement [magnesium/potassium = 1]). RAM had a good discrimination (training AUC 0.777, 0.756-0.797; validation AUC 0.766, 0.741-0.790). The validation cohort was stratified as low-risk (score 0-8), intermediate-risk (score 9-13), and high-risk groups (score ≥ 14), with the incidence of ATE 2.4%, 12.8%, and 33.8%, respectively. Our novel prediction model based on 16 standardized, commonly available parameters showed good performance in identifying COVID-19 patients at risk for ATE on admission.

3D-PAST: Risk Assessment Model for Predicting Venous Thromboembolism in COVID-19.

Hypercoagulability is a recognized feature in SARS-CoV-2 infection. There exists a need for a dedicated risk assessment model (RAM) that can risk-stratify hospitalized COVID-19 patients for venous thromboembolism (VTE) and guide anticoagulation. We aimed to build a simple clinical model to predict VTE in COVID-19 patients. This large-cohort, retrospective study included adult patients admitted to four hospitals with PCR-confirmed SARS-CoV-2 infection. Model training was performed on 3531 patients hospitalized between March and December 2020 and validated on 2508 patients hospitalized between January and September 2021. Diagnosis of VTE was defined as acute deep vein thrombosis (DVT) or pulmonary embolism (PE). The novel RAM was based on commonly available parameters at hospital admission. LASSO regression and logistic regression were performed, risk scores were assigned to the significant variables, and cutoffs were derived. Seven variables with assigned scores were delineated as: DVT History = 2; High D-Dimer (>500−2000 ng/mL) = 2; Very High D-Dimer (>2000 ng/mL) = 5; PE History = 2; Low Albumin (<3.5 g/dL) = 1; Systolic Blood Pressure <120 mmHg = 1, Tachycardia (heart rate >100 bpm) = 1. The model had a sensitivity of 83% and specificity of 53%. This simple, robust clinical tool can help individualize thromboprophylaxis for COVID-19 patients based on their VTE risk category.

Venous thromboembolism in COVID-19 patients and prediction model: a multicenter cohort study.

BACKGROUND: Patients with COVID-19 infection are commonly reported to have an increased risk of venous thrombosis. The choice of anti-thrombotic agents and doses are currently being studied in randomized controlled trials and retrospective studies. There exists a need for individualized risk stratification of venous thromboembolism (VTE) to assist clinicians in decision-making on anticoagulation. We sought to identify the risk factors of VTE in COVID-19 patients, which could help physicians in the prevention, early identification, and management of VTE in hospitalized COVID-19 patients and improve clinical outcomes in these patients. METHOD: This is a multicenter, retrospective database of four main health systems in Southeast Michigan, United States. We compiled comprehensive data for adult COVID-19 patients who were admitted between 1st March 2020 and 31st December 2020. Four models, including the random forest, multiple logistic regression, multilinear regression, and decision trees, were built on the primary outcome of in-hospital acute deep vein thrombosis (DVT) and pulmonary embolism (PE) and tested for performance. The study also reported hospital length of stay (LOS) and intensive care unit (ICU) LOS in the VTE and the non-VTE patients. Four models were assessed using the area under the receiver operating characteristic curve and confusion matrix. RESULTS: The cohort included 3531 admissions, 3526 had discharge diagnoses, and 6.68% of patients developed acute VTE (N = 236). VTE group had a longer hospital and ICU LOS than the non-VTE group (hospital LOS 12.2 days vs. 8.8 days, p < 0.001; ICU LOS 3.8 days vs. 1.9 days, p < 0.001). 9.8% of patients in the VTE group required more advanced oxygen support, compared to 2.7% of patients in the non-VTE group (p < 0.001). Among all four models, the random forest model had the best performance. The model suggested that blood pressure, electrolytes, renal function, hepatic enzymes, and inflammatory markers were predictors for in-hospital VTE in COVID-19 patients. CONCLUSIONS: Patients with COVID-19 have a high risk for VTE, and patients who developed VTE had a prolonged hospital and ICU stay. This random forest prediction model for VTE in COVID-19 patients identifies predictors which could aid physicians in making a clinical judgment on empirical dosages of anticoagulation.

Data of atrial arrhythmias in hospitalized COVID-19 and influenza patients.

Atrial arrhythmias (AA) are common in hospitalized COVID-19 patients with limited data on their association with COVID-19 infection, clinical and imaging outcomes. In the related research article using retrospective research data from one quaternary care and five community hospitals, patients aged 18 years and above with positive SARS-CoV-2 polymerase chain reaction test were included. 6927 patients met the inclusion criteria. The data in this article provides demographics, home medications, in-hospital events and COVID-19 treatments, multivariable generalized linear regression regression models using a log link with a Poisson distribution (multi-parameter regression [MPR]) to determine predictors of new-onset AA and mortality in COVID-19 patients, computerized tomography chest scan findings, echocardiographic findings, and International Classification of Diseases-Tenth Revision codes. The clinical outcomes were compared to a propensity-matched cohort of influenza patients. For influenza, data is reported on baseline demographics, comorbid conditions, and in-hospital events. Generalized linear regression models were built for COVID-19 patients using demographic characteristics, comorbid conditions, and presenting labs which were significantly different between the groups, and hypoxia in the emergency room. Statistical analysis was performed using R programming language (version 4, ggplot2 package). Multivariable generalized linear regression model showed that, relative to normal sinus rhythm, history of AA (adjusted relative risk [RR]: 1.38; 95% CI: 1.11-1.71; p = 0.003) and newly-detected AA (adjusted RR: 2.02 95% CI: 1.68-2.43; p < 0.001) were independently associated with higher in-hospital mortality. Age in increments of 10 years, male sex, White race, prior history of coronary artery disease, congestive heart failure, end-stage renal disease, presenting leukocytosis, hypermagnesemia, and hypomagnesemia were found to be independent predictors of new-onset AA in the MPR model. The dataset reported is related to the research article entitled "Incidence, Mortality, and Imaging Outcomes of Atrial Arrhythmias in COVID-19" [Jehangir et al. Incidence, Mortality, and Imaging Outcomes of Atrial Arrhythmias in COVID-19, American Journal of Cardiology] [1].

Incidence, Mortality, and Imaging Outcomes of Atrial Arrhythmias in COVID-19.

Atrial arrhythmias (AAs) are common in hospitalized patients with COVID-19; however, it remains uncertain if AAs are a poor prognostic factor in SARS-CoV-2 infection. In this retrospective cohort study from 2014 to 2021, we report in-hospital mortality in patients with new-onset AA and history of AA. The incidence of new-onset congestive heart failure (CHF), hospital length of stay and readmission rate, intensive care unit admission, arterial and venous thromboembolism, and imaging outcomes were also analyzed. We further compared the clinical outcomes with a propensity-matched influenza cohort. Generalized linear regression was performed to identify the association of AA with mortality and other outcomes, relative to those without an AA diagnosis. Predictors of new-onset AA were also modeled. A total of 6,927 patients with COVID-19 were included (626 with new-onset AA, 779 with history of AA). We found that history of AA (adjusted relative risk [aRR] 1.38, confidence interval [CI], 1.11 to 1.71, p = 0.003) and new-onset AA (aRR 2.02, 95% CI 1.68 to 2.43, p <0.001) were independent predictors of in-hospital mortality. The incidence of new-onset CHF was 6.3% in history of AA (odds ratio 1.91, 95% CI 1.30 to 2.79, p <0.001) and 11.3% in new-onset AA (odds ratio 4.01, 95% CI 3.00 to 5.35, p <0.001). New-onset AA was shown to be associated with worse clinical outcomes within the propensity-matched COVID-19 and influenza cohorts. The risk of new-onset AA was higher in patients with COVID-19 than influenza (aRR 2.02, 95% CI 1.76 to 2.32, p <0.0001), but mortality associated with new-onset AA was higher in influenza (aRR 12.58, 95% CI 4.27 to 37.06, p <0.0001) than COVID-19 (aRR 1.86, 95% CI 1.55 to 2.22, p <0.0001). In a subset of the patients with COVID-19 for which echocardiographic data were captured, abnormalities were common, including valvular abnormalities (40.9%), right ventricular dilation (29.6%), and elevated pulmonary artery systolic pressure (16.5%); although there was no evidence of a difference in incidence among the 3 groups. In conclusion, new-onset AAs are associated with poor clinical outcomes in patients with COVID-19.

A case report of successful intravascular shockwave lithotripsy and ad hoc directional venous atherectomy of extensive chronic femoral deep venous thrombosis.

BACKGROUND: Conventional treatment for chronic deep venous thrombosis (DVT) is anticoagulation. However, limited interventional endovascular options exist for patients with non-healing venous ulcers secondary to chronic DVT. CASE SUMMARY: We present a case of 67-year-old man with severely symptomatic post-thrombotic syndrome (PTS) with persistent high-grade femoral DVT despite prior compressive therapy and chronic oral anticoagulation. It has been successfully treated with intravascular shockwave lithotripsy and ad hoc directional venous atherectomy facilitating subsequent mechanical thrombectomy and venoplasty. The procedure was without complication and resulted in significant clinical improvement. DISCUSSION: We believe our novel endovascular interventional approach represents a unique modality of intervention for patients with chronic DVT and PTS resistant to conventional venoplasty.

Impella-Assisted Intracoronary Lithotripsy of Severely Calcified Left Main Coronary Artery Bifurcation for NSTEMI With Cardiogenic Shock.

High calcification of coronary artery plaque is a frequent cause of suboptimal stent expansion, which can result in stent thrombosis and restenosis. Shockwave intravascular lithotripsy (S-IVL) represents a new frontier in the treatment of highly calcified coronary lesions. It can be an excellent alternative to intracoronary atherectomy in extremely high-risk lesions. We present a case of a 57-year-old man with known severe coronary artery disease (CAD) who presented with non-ST segment elevation myocardial infarction (NSTEMI), cardiogenic shock and was successfully treated with impella-assisted shockwave-intravascular lithotripsy permitting successful percutaneous intervention of a high-risk left main coronary artery (LMCA) bifurcation in-stent restenosis.

Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use.

Coronary computed tomography angiography (CCTA) evaluation of chest pain patients in an emergency department (ED) is considered appropriate. While a "negative" CCTA interpretation supports direct patient discharge from an ED, labor-intensive analyses are required, with accuracy in jeopardy from distractions. We describe the development of an artificial intelligence (AI) algorithm and workflow for assisting qualified interpreting physicians in CCTA screening for total absence of coronary atherosclerosis. The two-phase approach consisted of (1) phase 1-development and preliminary testing of an algorithm for vessel-centerline extraction classification in a balanced study population (n = 500 with 50% disease prevalence) derived by retrospective random case selection, and (2) phase 2-simulated clinical Trialing of developed algorithm on a per-case (entire coronary artery tree) basis in a more "real-world" study population (n = 100 with 28% disease prevalence) from an ED chest pain series. This allowed pre-deployment evaluation of the AI-based CCTA screening application which provides vessel-by-vessel graphic display of algorithm inference results integrated into a clinically capable viewer. Algorithm performance evaluation used area under the receiver operating characteristic curve (AUC-ROC); confusion matrices reflected ground truth vs AI determinations. The vessel-based algorithm demonstrated strong performance with AUC-ROC = 0.96. In both phase 1 and phase 2, independent of disease prevalence differences, negative predictive values at the case level were very high at 95%. The rate of completion of the algorithm workflow process (96% with inference results in 55-80 s) in phase 2 depended on adequate image quality. There is potential for this AI application to assist in CCTA interpretation to help extricate atherosclerosis from chest pain presentations.

A Single Coronary Artery Anomaly: Right Coronary Artery as a Branch From the Left Anterior Descending Artery.

An anomalous origin of the right coronary artery (RCA) from the left anterior descending artery (LAD), also known as a single coronary artery, is an extremely rare finding in clinical practice. It is usually a benign anomaly; however, symptoms are highly dependent on the course that the anomalous RCA takes after branching off of the LAD. We present a case of a patient who had decompensated heart failure and was detected to have a single coronary artery. The patient was treated with guideline-directed medical therapy with notable improvement in clinical status in the following days. Enhanced awareness of congenital cardiac anomalies may help guide management.

A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence.

PURPOSE: To delineate image data curation needs and describe a locally designed graphical user interface (GUI) to aid radiologists in image annotation for artificial intelligence (AI) applications in medical imaging. MATERIALS AND METHODS: GUI components support image analysis toolboxes, picture archiving and communication system integration, third-party applications, processing of scripting languages, and integration of deep learning libraries. For clinical AI applications, GUI components included two-dimensional segmentation and classification; three-dimensional segmentation and quantification; and three-dimensional segmentation, quantification, and classification. To assess radiologist engagement and performance efficiency associated with GUI-related capabilities, image annotation rate (studies per day) and speed (minutes per case) were evaluated in two clinical scenarios of varying complexity: hip fracture detection and coronary atherosclerotic plaque demarcation and stenosis grading. RESULTS: For hip fracture, 1050 radiographs were annotated over 7 days (150 studies per day; median speed: 10 seconds per study [interquartile range, 3-21 seconds per study]). A total of 294 coronary CT angiographic studies with 1843 arteries and branches were annotated for atherosclerotic plaque over 23 days (15.2 studies [80.1 vessels] per day; median speed: 6.08 minutes per study [interquartile range, 2.8-10.6 minutes per study] and 73 seconds per vessel [interquartile range, 20.9-155 seconds per vessel]). CONCLUSION: GUI-component compatibility with common image analysis tools facilitates radiologist engagement in image data curation, including image annotation, supporting AI application development and evolution for medical imaging. When complemented by other GUI elements, a continuous integrated workflow supporting formation of an agile deep neural network life cycle results.Supplemental material is available for this article.© RSNA, 2019.

Association Between Pulmonary Hypertension and Transcatheter Aortic Valve Replacement: Analysis of a Nationwide Inpatient Sample Database.

INTRODUCTION: This study was done to review the association of pulmonary hypertension (PH) with Transcatheter Aortic Valve Replacement (TAVR) procedures done in the US for years 2010 to 2012. METHODS: We used Nationwide Inpatient Sample (NIS) data to extract data for patients who were hospitalized with a primary/secondary diagnosis of TAVR as specified by International Classification of Disease (ICD-9) codes 35.05 and 35.06. PH was identified with ICD-9 codes 416.0 and 416.8. Logistic regression models were used to analyze the association between PH and clinical outcomes of TAVR. RESULTS: A total of 8,824 weighted discharges were identified with a primary/secondary diagnosis of TAVR, of which 1,976 (22.4%) also had PH. Mean age of patients undergoing TAVR with and without PH was 81.4 and 81.1 years, respectively. More females had a diagnosis of PH with TAVR when compared to males, (56.9% vs. 43.1). When controlling for demographics, diabetes and hypertension; the association between PH and TAVR was statistically significant (p<.0001). Estimated odds of TAVR with PH was 5.46 (95% CI: 4.63, 6.41) times greater than for TAVR without PH. Similarly, the estimated odds for a length of stay greater than 1 week for TAVR with PH was 1.43 (95% CI: 1.12, 1.82; p=.0034) times greater than odds for TAVR without PH. PH was not statistically significant for in-hospital mortality in patients receiving TAVR (p=0.7067). CONCLUSION: This study suggests that underlying PH does not influence the immediate mortality of patients underlying TAVR. Further studies are needed to delve into the bearing of PH on TAVR.

Periprocedural and long-term outcomes of endovascular abdominal aortic aneurysm repair in cardiology practice.

BACKGROUND: Endovascular repair of abdominal aortic aneurysm (AAA) has recently been made a class I indication in the treatment of AAA. In comparison to the conventional open surgical treatment, endovascular AAA repair (EVAR) is associated with equivalent long-term morbidity and mortality rates. Vascular surgeons perform majority of EVAR. There are no reports for the long-term results of this intervention performed by interventional cardiologists. We present one of the first reports of periprocedural and long-term outcomes of EVAR performed by interventional cardiologists. METHODS: Retrospective chart review on patients with attempted EVAR between September 2005 and January 2011 was performed. Included cases were all consecutive patients who had attempted EVAR by interventional cardiologists. RESULTS: During the study period EVAR was attempted in 170 patients, with 27% being women. The mean age was 74 years (range 52-93). The endovascular graft placement was successful in 96% (163/170) of patients. Procedure failures were more common in women (6 of 46 vs 1 of 124, P = 0.003). The 30-day mortality was 1.8 % (3 of 170). In patients with successful EVAR the mean follow-up was 30 months and mean length of hospital stay was 3.5 ± 3.2 days. Major periprocedural complications were noted in 9% patients (15 of 167). During follow-up, six patients (3.5%) required re-intervention and additional 16 patients died with no aneurysm related deaths. CONCLUSION: EVAR primarily performed by interventional cardiologists demonstrates high periprocedural and long-term success rates. A higher EVAR failure rate has been observed in women.

Decreased readmissions and improved quality of care with the use of an inexpensive checklist in heart failure.

Providing effective discharge instructions, appropriate dose uptitration, education regarding heart failure (HF) monitoring, and strict follow-up have all been shown to decrease readmissions for HF but are all underutilized. The authors developed and evaluated the impact of a quality-improvement HF checklist as a tool to remind physicians to improve quality of care in HF patients. The checklist was used in randomly selected patients admitted with a primary diagnosis of acute decompensated HF. It included documentation regarding medications and dose uptitration, relevant counseling, and follow-up instructions at discharge. The checklist was used in 48 patients, and this checklist group was compared with 48 patients as a randomly selected control group. Higher proportions of patients were taking angiotensin-converting enzyme (ACE) inhibitors or angiotensin receptor blockers (ARBs) in the checklist group compared with the control group (40 of 48 vs 23 of 48, P<.001). Compared with the controls, the rate of dose uptitration for ß-blockers and/or ACE inhibitors/ARBs was more common in the checklist group (4 of 48 vs 21 of 48, P<.001). Both 30-day (19% to 6%) and 6-month (42% to 23%) readmissions were lower in the checklist group. The use of an HF checklist was associated with better quality of care and decreased readmission rates for patients admitted with HF.

No Racial Disparities in the Treatment of ST Elevation Myocardial Infarction - A Community-based Experience.

Whether racial disparities exist in the treatment of ST elevation myocardial infarction (STEMI) is not exactly known. We report a retrospective chart review of patients with first event of STEMI, in two groups separated by one decade. Results revealed that hospital mortality in the 2007 and 1997 groups for African Americans versus Caucasians was one of 22 versus 21 of 170, 95 % confidence interval (CI) -0.178 to 0.022, p=0.48 and four of 41 versus 39 of 402, 95 % CI -0.095 to 0.096, p=1.00, respectively. The mean length of stay (LOS) for African Americans and Caucasians in the 2007 and 1997 groups was 5.7 versus 4.1 days (p=0.09) and 7.3 versus 6.6 days (p=0.42), respectively. During follow-up, a total of 40 patients needed re-intervention in the 2007 group. The re-intervention rate in African American patients being 13.6 % (three of 22) versus 21.2 % (36 of 170) in Caucasians, 95 % CI -0.231 to 0.081, with p=0.57. In conclusion, there was no evidence of racial disparity in the treatment of STEMI in terms of hospital mortality, length of hospital stay and re-intervention rate.

Rare manifestation of Behcet's syndrome: insight from multimodality cardiovascular imaging.

A young Jordanian man was hospitalised with fever of 2 months duration. Preadmission diagnostic assessment including CT thorax and abdomen were inconclusive. Right-sided pleuritic chest pain was present on admission. Pulmonary embolism was suspected on a ventilation/perfusion lung scan. Lower-extremity deep venous thrombosis was, however, absent. Echocardiogram to exclude a cardiac source of pulmonary embolism showed a right ventricle mass which was also present on retrospective review of prehospitalisation CT thorax. Tissue characterisation of this mass on cardiac MRI was not helpful. Empiric anticoagulation was started without reduction in size at 3 weeks. Due to ongoing diagnostic uncertainty, surgical resection was performed. Histopathology confirmed this mass to be a thrombus. With unabated fever, right ventricular thrombosis with pulmonary embolism and cutaneous and scrotal ulceration which evolved later in the hospital course, a diagnosis of Bechet's syndrome was considered and subsequently confirmed. Response to immunosuppressive therapy was prompt.