The Many Faces of the Interatrial Septum: A Diagnostic Dilemma and Considerations for Defect Closure Device Selection.

PATENT FORAMEN ovales (PFOs) and atrial septal defects (ASDs) are 2 examples of interatrial septal pathology.1 The presence of a PFO is a well-known risk factor for cryptogenic stroke.1,2 Newer evidence over the course of the last decade suggests percutaneous device closure of PFOs significantly reduces the subsequent risk of recurrent stroke.2 Among ASDs, the ostium secundum type is the most common pathology and, due to its anatomy, is most amenable to transcatheter closure.1 The tools that are available to percutaneously close these different pathologies vary, and choosing the correct device for the procedure can have significant impact on the clinical outcome. The authors here present a case that highlights how the differentiation of an ASD from a PFO using 2-dimensional (2D) and 3-dimensional (3D) echocardiography can affect the clinical decision-making and outcome in a challenging structural heart disease case.

Fluoroscopic Imaging for the Interventional Echocardiographer.

Procedural guidance during structural heart disease (SHD) interventions is achieved with both two-dimensional and three-dimensional transesophageal echocardiography as well as real-time fluoroscopic imaging. Although both image the cardiac anatomy, they are based on different principles of image acquisition. In the era of multimodality imaging with coregistration of anatomic landmarks and simultaneous real-time display, it is essential to have cross-disciplinary imaging knowledge. Besides improving communication, it also enhances patient care and, possibly, outcomes. In this study, the authors used a novel fluoroscopic phantom cardiac model with enhanced structural markers to display the basic fluoroscopic images used during SHD interventions. The projected images enhance the understanding of the orientation and relationship among intracardiac structures as seen on fluoroscopy. In this study, the authors present the basic fluoroscopic views for SHD interventions and the anatomic relationship for intracardiac structures using a custom-made phantom fluoroscopic heart model.

Something new and different: The Unified Medical Language System.

Donald A.B. Lindberg M.D. arrived at the U.S. National Library of Medicine in 1984 and quickly launched the Unified Medical Language System (UMLS) research and development project to help computers understand biomedical meaning and to enable retrieval and integration of information from disparate electronic sources, e.g., patient records, biomedical literature, knowledge bases. This chapter focuses on how Lindberg's thinking, preferred ways of working, and decision-making guided UMLS goals and development and on what made the UMLS markedly "new and different" and ahead of its time.

CoreValve bioprosthesis dysfunction treated with a Sapien 3 valve-in-valve transcatheter aortic valve replacement and BASILICA technique.

Structural deterioration of transcatheter heart valve (THV) has been previously described. With the expansion of transcatheter aortic valve replacement (TAVR) indications toward treating lower risk patients with longer life expectancy, there will be increased necessity of managing the patients with THV dysfunction including those at risk for coronary obstruction or sinus sequestration. Coronary access also remains a challenge in such cases with THV dysfunction undergoing valve-in-transcatheter heart valve (ViTHV) TAVR. A unique and first reported case of THV deterioration treated with Sapien 3 ViTHV-TAVR inside a 31 mm CoreValve bioprosthesis along with left coronary leaflet laceration using the BASILICA technique has been presented.

A baseline structure inventory with critical attribution for the US and its territories.

Leveraging high performance computing, remote sensing, geographic data science, machine learning, and computer vision, Oak Ridge National Laboratory has partnered with Federal Emergency Management Agency (FEMA) to build a baseline structure inventory covering the US and its territories to support disaster preparedness, response, and recovery. The dataset contains more than 125 million structures with critical attribution, and is ready to be used by federal agencies, local government and first responders to accelerate on-the-ground response to disasters, further identify vulnerable areas, and develop strategies to enhance the resilience of critical structures and communities. Data can be freely and openly accessed through Figshare data repository, ESRI's Living Atlas or FEMA's Geodata platform.

Something New and Different: The Unified Medical Language System.

Donald A.B. Lindberg M.D. arrived at the U.S. National Library of Medicine in 1984 and quickly launched the Unified Medical Language System (UMLS) research and development project to help computer understand biomedical meaning and to enable retrieval and integration of information from disparate electronic sources, e.g., patient records, biomedical literature, knowledge bases. This chapter focuses on how Lindberg's thinking, preferred ways of working, and decision-making guided UMLS goals and development and on what made the UMLS markedly "new and different" and ahead of its time.

Clinical management of conduction abnormalities following transcatheter aortic valve replacement: prospective evaluation of a standardized management pathway.

PURPOSE: Limited evidence guides management of conduction abnormalities following TAVR. Standardized clinical pathways may reduce variability in care while minimizing bradyarrhythmic morbidity, length of stay (LOS), and pacemaker (PPM) implantation rates. METHODS: A multidisciplinary consensus pathway to standardize post-TAVR management was developed. We evaluated (1) pathway adherence; (2) LOS; (3) PPM implantation rates; (4) 1-month survival, and (5) late heart block. Exploratory analyses evaluated factors associated with PPM implantation. RESULTS: A total of 181 consecutive patients without prior PPM who underwent TAVR between February 2020 and February 2021 (mean age 77.9 ± 9.1, 38% women) were included. Average LOS was 3.0 days (± 2.7), and no deaths related to syncope/bradyarrhythmia were reported by 1 month. Overall, 93% of the 181 patients were managed by pathway; deviations were due to failure of discharge with a heart monitor when it was clinically indicated for either pre-existing RBBB or new PR prolongation/new LBBB. PPM implantation occurred in 19 patients by discharge, and 21 by 1-month (13%). In our exploratory analysis, pre-existing RBBB, transient peri-procedural heart block, and LOTUS valves were associated with pacemaker implantation: OR (CI) of 8.16 (3.06-21.78), 6.83 (1.94-24.03), and 8.32 (1.11-62.49), respectively. CONCLUSIONS: This report illustrates that a standardized protocol for the management of conduction abnormalities after TAVR can be implemented with high compliance, safe management of conduction disturbance, and relatively short LOS with discharge supported by ambulatory monitoring.

Functional Status After Transcatheter and Surgical Aortic Valve Replacement: 2-Year Analysis From the SURTAVI Trial.

OBJECTIVES: This study sought to evaluate patient-centered metrics in intermediate-surgical-risk aortic stenosis patients enrolled in the SURTAVI (Surgical Replacement and Transcatheter Aortic Valve Implantation) trial treated with self-expanding transcatheter aortic valve replacement (TAVR) or surgery. BACKGROUND: Studies have shown TAVR to be an alternative to surgery in patients with severe symptomatic aortic stenosis but have focused on "hard endpoints," including all-cause mortality and stroke, rather than on comparative patient-centered metrics, such as functional status and symptom burden. METHODS: The study analyzed functional status (6-minute walk test [6MWT]) and symptom burden (Kansas City Cardiomyopathy Questionnaire) in 1,492 patients from the SURTAVI trial at baseline, 30 days, 1 year, and 2 years. Patients were categorized by baseline functional status into tertiles of slow, medium, and fast walkers. RESULTS: Patients with lowest capacity baseline functional status were commonly women, had higher Society of Thoracic Surgeons scores, and had more New York Heart Association functional class III or IV symptoms; reduced baseline functional status was associated with higher aortic valve- and heart failure-related hospitalization at 2 years. There was greater improvement in 6MWT distance in TAVR compared with surgery patients at 30 days (P < 0.001) and 1 year (P = 0.012), but at 2 years, both groups had similar improvement (P = 0.091). The percentage of patients with large improvement in 6MWT was greatest in patients categorized as slow walkers and lowest in fast walkers. Symptom burden improved after TAVR at 30 days and after both procedures at 1 and 2 years. CONCLUSIONS: In this substudy of patients from the SURTAVI trial, patients receiving TAVR demonstrated a more rapid improvement in functional status and symptom burden compared with patients undergoing surgery; however, both groups had similar improvements in long-term follow-up. (Safety and Efficacy Study of the Medtronic CoreValve® System in the Treatment of Severe, Symptomatic Aortic Stenosis in Intermediate Risk Subjects Who Need Aortic Valve Replacement [SURTAVI]; NCT01586910).

Categorizing metadata to help mobilize computable biomedical knowledge.

INTRODUCTION: Computable biomedical knowledge artifacts (CBKs) are digital objects conveying biomedical knowledge in machine-interpretable structures. As more CBKs are produced and their complexity increases, the value obtained from sharing CBKs grows. Mobilizing CBKs and sharing them widely can only be achieved if the CBKs are findable, accessible, interoperable, reusable, and trustable (FAIR+T). To help mobilize CBKs, we describe our efforts to outline metadata categories to make CBKs FAIR+T. METHODS: We examined the literature regarding metadata with the potential to make digital artifacts FAIR+T. We also examined metadata available online today for actual CBKs of 12 different types. With iterative refinement, we came to a consensus on key categories of metadata that, when taken together, can make CBKs FAIR+T. We use subject-predicate-object triples to more clearly differentiate metadata categories. RESULTS: We defined 13 categories of CBK metadata most relevant to making CBKs FAIR+T. Eleven of these categories (type, domain, purpose, identification, location, CBK-to-CBK relationships, technical, authorization and rights management, provenance, evidential basis, and evidence from use metadata) are evident today where CBKs are stored online. Two additional categories (preservation and integrity metadata) were not evident in our examples. We provide a research agenda to guide further study and development of these and other metadata categories. CONCLUSION: A wide variety of metadata elements in various categories is needed to make CBKs FAIR+T. More work is needed to develop a common framework for CBK metadata that can make CBKs FAIR+T for all stakeholders.

Drug knowledge expressed as computable semantic triples.

The majority of questions that arise in the practice of medicine relate to drug information. Additionally, adverse reactions account for as many as 98,000 deaths per year in the United States. Adverse drug reactions account for a significant portion of those errors. Many authors believe that clinical decision support associated with computerized physician order entry has the potential to decrease this adverse drug event rate. This decision support requires knowledge to drive the process. One important and rich source of drug knowledge is the DailyMed product labels. In this project we used computationally extracted SNOMED CT™ codified data associated with each section of each product label as input to a rules engine that created computable assertional knowledge in the form of semantic triples. These are expressed in the form of "Drug" HasIndication "SNOMED CT™". The information density of drug labels is deep, broad and quite substantial. By providing a computable form of this information content from drug labels we make these important axioms (facts) more accessible to computer programs designed to support improved care.

A bottom-up approach to creating an ontology for medication indications.

OBJECTIVES: The study sought to learn if it were possible to develop an ontology that would allow the Food and Drug Administration approved indications to be expressed in a manner computable and comparable to what is expressed in an electronic health record. MATERIALS AND METHODS: A random sample of 1177 of the 3000+ extant, distinct medical products (identified by unique new drug application numbers) was selected for investigation. Close manual examination of the indication portion of the labels for these drugs led to the development of a formal model of indications. RESULTS: The model represents each narrative indication as a disjunct of conjuncts of assertions about an individual. A desirable attribute is that each assertion about an individual should be testable without reference to other contextual information about the situation. The logical primitives are chosen from 2 categories (context and conditions) and are linked to an enumeration of uses, such as prevention. We found that more than 99% of approved label indications for treatment or prevention could be so represented. DISCUSSION: While some indications are straightforward to represent, difficulties stem from the need to represent temporal or sequential references. In addition, there is a mismatch of terminologies between what is present in an electronic health record and in the label narrative. CONCLUSIONS: A workable model for formalizing drug indications is possible. Remaining challenges include designing workflow to model narrative label indications for all approved drug products and incorporation of standard vocabularies.

Prevalence and Risk Factors for Preprocedural Medication Errors in Patients With Atrial Fibrillation and Atrial Flutter.

Perfect adherence to anticoagulant medications is an important aspect of care for patients with atrial fibrillation undergoing cardiac electrophysiology procedures to minimize the risk of stroke. Despite this, adherence remains imperfect as is associated with added cost of additional procedures (e.g., transesophageal echocardiography) and administrative burden. We sought to identify characteristics of such patients and predictors of medication errors at Beth Israel Deaconess Medical Center.

Quality and diagnostic performance of coronary computed tomography angiogram (CCTA): A comparison between pre-liver and pre-kidney transplant patients.

PURPOSE: Assess and compare the quality and diagnostic performance of CCTA between pre-liver and pre-kidney transplant patients, and gauge impact of CCTA on ICA requirements. METHODS: Patients without known coronary artery disease (CAD) were selected for CCTA if considered high-risk or after abnormal stress testing. All pre-liver and pre-kidney CCTAs between March 2018 and August 2020 were retrospectively included. CCTA quality was qualitatively graded as excellent/good/fair/poor, and CAD graded as < or ≥50% stenosis. Heart rate, coronary artery calcium (CAC) scores, and fractional flow reserve CT (FFRCT) results were collected. CAD stenosis was graded on invasive coronary angiogram (ICA) images, with ≥50% stenosis defined as significant. RESULTS: 162 pre-transplant patients (91 pre-liver, 71 pre-kidney). Pre-kidney patients had poorer CCTA quality (p = 0.04) and higher heart rate (median: 65 bpm vs 60 bpm, p < 0.001). Out of 147 diagnostic CCTAs (pre-liver: 84, pre-kidney: 63), 73 (49.7%) had a ≥50% stenosis (pre-liver: 38 (45.2%), pre-kidney:35 (55.6%)). 12/38 (31.6%) had a significantly reduced FFRCT, and 19/53 (35.8%) had ≥50% stenosis on ICA. Among patients whose CCTA was diagnostic and had ICA, stenosis severity was concordant in 10/23 (43.5%) pre-liver and 10/25 (40%) pre-kidney patients. All discordant cases had stenosis 'over-called' on CCTA. CONCLUSION: Diagnostic-quality CCTAs in high-risk pre-transplant patients are achievable and can greatly reduce ICA requirements by excluding significant CAD. CCTA quality is poorer in pre-kidney transplant patients compared to pre-liver, possibly due to higher heart rate.

Lessons for Treating Structural Heart Patients during the COVID-19 Pandemic and Beyond.

Background: We sought to compare characteristics and outcomes of structural heart disease (SHD) patients treated during the regional peak of the Coronavirus Disease 2019 (COVID-19) pandemic ("COVID era") compared with historical controls. During the COVID era, elective SHD procedures at Beth Israel Deaconess Medical Center were canceled but urgent cases were still performed. We enacted several practice changes in an effort to minimize complications, prevent COVID transmission, and decrease hospital stay during the pandemic. Methods: Baseline characteristics and outcomes were collected on all patients who underwent SHD procedures during the COVID era and compared with patients treated during the same time period in 2019. Results: Compared with SHD patients treated during 2019 (N = 259), those treated during the COVID era (N = 26) had higher left ventricular end diastolic pressure (LVEDP; 28 vs. 21 mmHg, p = 0.001), and were more likely New York Heart Association class IV (26.9% vs. 10.0%, p = 0.019), but had a lower rate of bleeding/vascular complications (0% vs. 16.2%, p = 0.013), a lower rate of permanent pacemaker implantation (0% vs. 17.4%, p = 0.019), and a greater proportion of patients were discharged on post-operative day 1 (POD#1; 68.2% vs. 22.2%, p < 0.001). Conclusion: Practice changes employed for patients treated during the COVID era were associated with fewer vascular complications, a greater proportion of patients discharged on POD#1, and a lower rate of pacemaker implantation despite more severe illness. As a result, we plan to continue these practices in the post-COVID era.

Are posttraumatic stress disorder mental health terms found in SNOMED-CT medical terminology.

The authors sought to evaluate how well the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) controlled vocabulary represents terms commonly used clinically when documenting posttraumatic stress disorder (PTSD). A list was constructed based on the PTSD criteria in the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV; American Psychiatric Association, 1994), symptom assessment instruments, and publications. Although two teams mapping the terms to SNOMED-CT differed in their approach, the consensus mapping accounted for 91% of the 153 PTSD terms. They found that the words used by clinicians in describing PTSD symptoms are represented in SNOMED-CT. These results can be used to codify mental health text reports for health information technology applications such as automated chart abstraction, algorithms for identifying documentation of symptoms representing PTSD in clinical notes, and clinical decision support.

Secondary use of clinical data.

Clinicians involved in clinical care generate daily volumes of important data. This data is important for continuity of care, referrals to specialists and back to the patient's medical home. The same data can be used to generate alerts to improve the practice and to generate care activities to ensure that all appropriate care services are provided for the patient given their known medical histories using electronic quality (eQuality) monitoring. For many years we have used patient records as a data source for human abstraction of clinical research data. With the advent of electronic health record (EHR) data we can now make use of computable EHR data that can perform retrospective research studies more rapidly and lower the activation energy necessary to ask the next important question using electronic studies (eStudies). Barriers to these eStudies include: the lack of interoperable data between and among practices, the lack of computable definitions of measures, the lack of training of health professionals to use Ontology based Informatics tools that allow the execution of this type of logic, common methods need to be developed to distribute computable best practice rules to ensure rapid dissemination of evidence, better translating research into practice.

Percutaneous Management of a Contained Annular Rupture Occurring With Self-Expanding Transcatheter Aortic Valve Replacement.

Annular rupture is a rare catastrophic event during transcatheter aortic valve replacement, often life threatening and requiring emergent surgical repair. We describe, herein, a case of contained annular rupture successfully managed percutaneously with coiling and polymer injection. This is a novel technique to manage this complication. (Level of Difficulty: Advanced.).

BioProspecting: novel marker discovery obtained by mining the bibleome.

BioProspecting is a novel approach that enabled our team to mine data related to genetic markers from the New England Journal of Medicine (NEJM) utilizing SNOMED CT and the Human Gene Onotology (HUGO). The Biomedical Informatics Research Collaborative was able to link genes and disorders using the Multi-threaded Clinical Vocabulary Server (MCVS) and natural language processing engine, whose output creates an ontology-network using the semantic encodings of the literature that is organized by these two terminologies. We identified relationships between (genes or proteins) and (diseases or drugs) as linked by metabolic functions and identified potentially novel functional relationships between, for example, genes and diseases (e.g. Article #1 ([Gene - IL27] = > {Enzyme - Dipeptidyl Carboxypeptidase 1}) and Article #2 ({Enzyme - Dipeptidyl Carboxypeptidase 1} < = [Disorder - Type II DM]) showing a metabolic link between IL27 and Type II DM). In this manuscript we describe our method for developing the database and its content as well as its potential to assist in the discovery of novel markers and drugs.

Safety and efficacy of damage control external fixation versus early definitive stabilization for femoral shaft fractures in the multiple-injured patient.

BACKGROUND: Optimal timing and treatment of patients with concomitant head, thoracic, or abdominal injury and femoral shaft fracture remain controversial. This study examines acute patient outcomes associated with early total care with intramedullary nailing (ETC group) versus damage control external fixation (DCO group) for multiple-injured patients with femoral shaft fractures. We propose DCO as a safe initial treatment for the multiple-injured patient with femur shaft fractures. METHODS: This study was a retrospective review of the trauma registry and multisystem organ failure registry data at a Level I trauma center. Two cohorts were identified to compare multiple-injured patients with femoral shaft fractures treated with early total care and damage control orthopaedic surgery. Primary outcome measures included mortality, pulmonary complications (adult respiratory distress syndrome [ARDS] score), transfusion requirements, and multiple organ failure (MOF score). Operative time, estimated blood loss, intensive care unit length of stay (LOS), and hospital length of stay (LOS) were also compared. RESULTS: During the study period, 462 patients with 481 femoral shaft fractures were identified. Of 462 patients with femoral shaft fractures, 97 met the inclusion criteria (42 ETC and 55 DCO). The DCO group had a significantly shorter operative time (22 minutes vs. 125 minutes) and less estimated blood loss from their operative procedure (37 mL vs. 330 mL). There was no significant difference between the groups for ARDS, lung scores, MOF, MOF score, intensive care unit LOS, or hospital LOS. CONCLUSION: Fracture fixation method did not have an impact on the incidence of systemic complications in multiple-injured patients with femoral shaft fractures. Although minimal differences were noted between DCO and ETC groups regarding systemic complications, DCO is a safer initial approach, significantly decreasing the initial operative exposure and blood loss.