Prognostic Significance of Ventricular Arrhythmias in 13 444 Patients With Acute Coronary Syndrome: A Retrospective Cohort Study Based on Routine Clinical Data (NIHR Health Informatics Collaborative VA-ACS Study).
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SUBMITTER: Sau A
PROVIDER: S-EPMC9075290 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background Patients presenting with atrial fibrillation (AF) often undergo a blood test to measure troponin, but interpretation of the result is impeded by uncertainty about its clinical importance. We investigated the relationship between troponin level, coronary angiography, and all-cause mortality in real-world patients presenting with AF. Methods and Results We used National Institute of Health Research Health Informatics Collaborative data to identify patients admitted between 2010 and 2017 at 5 tertiary centers in the United Kingdom with a primary diagnosis of AF. Peak troponin results were scaled as multiples of the upper limit of normal. A total of 3121 patients were included in the analysis. Over a median follow-up of 1462 (interquartile range, 929-1975) days, there were 586 deaths (18.8%). The adjusted hazard ratio for mortality associated with a positive troponin (value above upper limit of normal) was 1.20 (95% CI, 1.01-1.43; P<0.05). Higher troponin levels were associated with higher risk of mortality, reaching a maximum hazard ratio of 2.6 (95% CI, 1.9-3.4) at ≈250 multiples of the upper limit of normal. There was an exponential relationship between higher troponin levels and increased odds of coronary angiography. The mortality risk was 36% lower in patients undergoing coronary angiography than in those who did not (adjusted hazard ratio, 0.61; 95% CI, 0.42-0.89; P=0.01). Conclusions Increased troponin was associated with increased risk of mortality in patients presenting with AF. The lower hazard ratio in patients undergoing invasive management raises the possibility that the clinical importance of troponin release in AF may be mediated by coronary artery disease, which may be responsive to revascularization.
| S-EPMC7428631 | biostudies-literature
Project description:Fluoxetine, paroxetine, sertraline, topiramate, and venlafaxine have previously shown efficacy for posttraumatic stress disorder (PTSD). One prior study using US Department of Veterans Affairs (VA) medical records data to compare these agents found no differences in symptom reduction in clinical practice. The current study addresses several weaknesses in that study, including limited standardization of treatment duration, inability to account for prior treatment receipt, use of an outdated symptomatic assessment for PTSD, and lack of functional outcome. A total of 834 VA outpatients were identified with DSM-5 clinical diagnoses of PTSD between October 2016 and March 2018 who initiated one of the medications and met prespecified criteria for treatment duration and dose, combined with baseline and endpoint DSM-5 PTSD Checklist (PCL-5) measurements. Twelve-week acute-phase changes in PCL-5 score and remission of PTSD symptoms were compared among patients receiving the different medications, as was use of acute psychiatric services in the subsequent 6-month continuation phase. In the acute phase, patients improved by a mean of 6.8-10.1 points on the PCL-5 and 0.0%-10.9% achieved remission of PTSD symptoms. Those taking venlafaxine were significantly more likely to achieve remission (P = .008 vs fluoxetine and P < .0001 vs paroxetine, sertraline, and topiramate). In the continuation phase, there were no differences in acute psychiatric care use between medications. Those who continued their medication were less likely to use acute psychiatric services (HR = 0.55; P = .03). There may be an advantage to venlafaxine over other agents in achieving acute-phase remission for DSM-5 PTSD in routine clinical practice, but this finding requires further study. Regardless of the agent chosen, medication cessation during the continuation phase is associated with a higher risk of acute psychiatric care use.
| S-EPMC7669235 | biostudies-literature
Project description:BackgroundVeterans Health Administration (VHA) seeks to improve the delivery of patient-centered care. A Patient-Centered Medical Home (PCMH) Model, named Patient Aligned Care Team (PACT), was implemented to transform the VHA primary care delivery process. VHA used a collaborative learning model as a key approach to disseminate PACT concepts and changes.ObjectiveTo describe and examine VHA's experience disseminating PACT transformation using a Breakthrough Series Collaborative method.DesignObservational study.ParticipantsApproximately 250-350 individuals from 141 teams participated in six face-to-face learning sessions across 21 months.Main measures1) PACT Collaborative participant surveys; 2) Coach Assessment Scores and Plan-Do-Study-Act (PDSA) data; and 3) PACT Compass (national measures to assess PACT implementation within VA healthcare system).Key resultsA majority of the participants indicated that the PACT Collaborative was necessary to implement PACT. The number of PDSAs increased steadily during the Collaborative period; 93 % (n = 1,547) of PDSAs were successfully implemented. Teams successfully achieved over 80 % of their aims, which were highly correlated with PDSAs implemented (R(2) = 0.88). The most successful aims achieved were offering same-day appointments, increasing non-face-to-face care, and improving team communication. PACT Compass indicated an improvement after the Collaborative (p-value < .000), and providers observed differences in their care practice (p-value < 0.002). This positive impact may be due to the spread of the PACT Model through the PACT Collaborative, among other learning initiatives.ConclusionsFor complex collaborative models such as PACT, more than three learning sessions may be required. As VHA continues to disseminate the PACT Model through primary care, into specialty/surgical care and beyond, the Collaborative Learning Model may continue to be an effective way to leverage a small number of faculty, coaches, and industrial engineers across an extremely large population.
| S-EPMC4070243 | biostudies-literature
Project description:BackgroundHealth Information Management (HIM) and Health Informatics (HI) were very separate professions when they were first formed. However, with the increasing adoption of electronic health records, the interests of the two fields have become more aligned.ObjectivesTo describe the evolution of a joint master's program in health informatics(HI) and health information management (HIM).MethodsAfter analyzing workforce needs, and reviewing both CAHIIM accreditation requirements and existing curricular offerings in separate programs in HIM and HI, a joint program was developed.ResultsAn HI master's program with a core curriculum for all students and tracks in Data Analytics, User Experience and Advanced Practice HIM was developed. A model for a comprehensive examination, based on the CAHIIM competencies, to be administered prior to and after the core curriculum was also developed.ConclusionsA core and track curriculum that incorporates HIM education as part of the Master of Science of Health Informatics provides a feasible roadmap for the future as HIM and HI become more closely aligned.
| S-EPMC4493326 | biostudies-literature
Project description:BackgroundRandomized clinical trials are the gold standard for evaluating healthcare interventions and, more generally, add to the medical knowledge related to the treatment, diagnosis and prevention of diseases and conditions. Recent literature continues to identify health informatics methods that can help improve study efficiency throughout the life cycle of a clinical trial. Electronic medical record (EMR) data provides a mechanism to facilitate clinical trial research during the study planning and execution phases, and ultimately, can be utilized to enhance recruitment. The Department of Veterans Affairs (VA) has a strong history of clinical and epidemiological research with over four decades of data collected from Veterans it has served nationwide. The VA Informatics and Computing Infrastructure (VINCI) provides VA research investigators with a nationwide view of high-value VA patient data. Within VA, the Cooperative Studies Program (CSP) Network of Dedicated Enrollment Sites (NODES) is a consortium of nine sites that are part of an embedded clinical research infrastructure intended to provide systematic site-level solutions to issues that arise during the conduct of VA CSP clinical research. This paper describes the collaboration initiated by the Salt Lake City (SLC) node site to bring informatics and clinical trials together to enhance study planning and recruitment within the VA.MethodsThe SLC VA Medical Center physically houses both VINCI and a node site and the co-location of these two groups prompted a natural collaboration on both a local and national level. One of the functions of the SLC NODES is to enhance recruitment and promote the success of CSP projects. VINCI supports these efforts by providing VA researchers access to potential population pools. VINCI can provide 1) feasibility data during study planning, and 2) active patient lists during recruitment. The process for CSP study teams to utilize these services involves regulatory documentation, development of queries, revisions to the initial data request, and ongoing communications with several key study personnel including the requesting research team, study statisticians, and VINCI data managers.ResultsThe early efforts of SLC NODES and VINCI aimed to provide patient lists exclusively to the SLC CSP study teams for the following purposes: 1) increasing recruitment for trials that were struggling to meet their respective enrollment goals, and 2) decreasing the time required by study coordinators to complete chart review activities. This effort was expanded to include multiple CSP sites and studies. To date, SLC NODES has facilitated the delivery of these VINCI services to nine active CSP studies.ConclusionThe ability of clinical trial study teams to successfully plan and execute their respective trials is contingent upon their proficiency in obtaining data that will help them efficiently and effectively recruit and enroll eligible participants. This collaboration demonstrates that the utilization of a model that partners two distinct entities, with similar objectives, was effective in the provision of feasibility and patient lists to clinical trial study teams and facilitation of clinical trial research within a large, integrated healthcare system.
| S-EPMC6052195 | biostudies-literature
Project description:Background Sinus tachycardia during exercise attenuates ST-segment elevation in patients with Brugada syndrome, whereas ST-segment augmentation after an exercise test is a high-risk sign. Some patients have premature ventricular contractions (PVCs) related to exercise, but the significance of exercise-related PVCs in patients with Brugada syndrome is still unknown. The objective of this study was to determine the significance of exercise-related PVCs for predicting occurrence of ventricular fibrillation (VF) in patients with Brugada syndrome. Methods and Results The subjects were 307 patients with Brugada syndrome who performed a treadmill exercise test. We evaluated the occurrence of PVCs at rest, during exercise and at the peak of exercise, and during recovery after exercise (0-5 minutes). We followed the patients for 92±68 months and evaluated the occurrence of VF. PVCs occurred in 82 patients (27%) at the time of treadmill exercise test: PVCs appeared at rest in 14 patients (4%), during exercise in 60 patients (20%), immediately after exercise (0-1.5 minutes) in 28 patients (9%), early after exercise (1.5-3 minutes) in 18 patients (6%), and late after exercise (3-5 minutes) in 12 patients (4%). Thirty patients experienced VF during follow-up. Multivariable analysis including symptoms, spontaneous type 1 ECG, and PVCs in the early recovery phase showed that these factors were independently associated with VF events during follow-up. Conclusions PVCs early after an exercise test are associated with future occurrence of VF events. Rebound of vagal nerve activity at the early recovery phase would promote ST-segment augmentation and PVCs in high-risk patients with Brugada syndrome.
| S-EPMC7763771 | biostudies-literature
Project description:There is an emergent and intensive dialogue in the United States with regard to the accessibility, reproducibility, and rigor of health research. This discussion is also closely aligned with the need to identify sustainable ways to expand the national research enterprise and to generate actionable results that can be applied to improve the nation's health. The principles and practices of Open Science offer a promising path to address both goals by facilitating (1) increased transparency of data and methods, which promotes research reproducibility and rigor; and (2) cumulative efficiencies wherein research tools and the output of research are combined to accelerate the delivery of new knowledge in proximal domains, thereby resulting in greater productivity and a reduction in redundant research investments.AcademyHealth's Electronic Data Methods (EDM) Forum implemented a proof-of-concept open science platform for health research called the Collaborative Informatics Environment for Learning on Health Outcomes (CIELO).The EDM Forum conducted a user-centered design process to elucidate important and high-level requirements for creating and sustaining an open science paradigm.By implementing CIELO and engaging a variety of potential users in its public beta testing, the EDM Forum has been able to elucidate a broad range of stakeholder needs and requirements related to the use of an open science platform focused on health research in a variety of "real world" settings.Our initial design and development experience over the course of the CIELO project has provided the basis for a vigorous dialogue between stakeholder community members regarding the capabilities that will add the greatest value to an open science platform for the health research community. A number of important questions around user incentives, sustainability, and scalability will require further community dialogue and agreement.
| S-EPMC5556258 | biostudies-other
Project description:Glioblastoma multiforme (GBM) remains one of the most lethal primary brain tumors despite surgical and therapeutic advancements. Targeted therapies of neoplastic diseases, including GBM, have received a great deal of interest in recent years. A highly studied target of GBM is interleukin-13 receptor ? chain variant 2 (IL13R?2). Targeted therapies against IL13R?2 in GBM include fusion chimera proteins of IL-13 and bacterial toxins, nanoparticles, and oncolytic viruses. In addition, immunotherapies have been developed using monoclonal antibodies and cell-based strategies such as IL13R?2-pulsed dendritic cells and IL13R?2-targeted chimeric antigen receptor-modified T cells. Advanced therapeutic development has led to the completion of phase I clinical trials for chimeric antigen receptor-modified T cells and phase III clinical trials for IL-13-conjugated bacterial toxin, with promising outcomes. Selective expression of IL13R?2 on tumor cells, while absent in the surrounding normal brain tissue, has motivated continued study of IL13R?2 as an important candidate for targeted glioma therapy. Here, we review the preclinical and clinical studies targeting IL13R?2 in GBM and discuss new advances and promising applications.
| S-EPMC4165413 | biostudies-literature
Project description:ObjectiveTo describe a framework for leveraging big data for research and quality improvement purposes and demonstrate implementation of the framework for design of the Department of Veterans Affairs (VA) Colonoscopy Collaborative.MethodsWe propose that research utilizing large-scale electronic health records (EHRs) can be approached in a 4 step framework: 1) Identify data sources required to answer research question; 2) Determine whether variables are available as structured or free-text data; 3) Utilize a rigorous approach to refine variables and assess data quality; 4) Create the analytic dataset and perform analyses. We describe implementation of the framework as part of the VA Colonoscopy Collaborative, which aims to leverage big data to 1) prospectively measure and report colonoscopy quality and 2) develop and validate a risk prediction model for colorectal cancer (CRC) and high-risk polyps.ResultsExamples of implementation of the 4 step framework are provided. To date, we have identified 2,337,171 Veterans who have undergone colonoscopy between 1999 and 2014. Median age was 62 years, and 4.6 percent (n = 106,860) were female. We estimated that 2.6 percent (n = 60,517) had CRC diagnosed at baseline. An additional 1 percent (n = 24,483) had a new ICD-9 code-based diagnosis of CRC on follow up.ConclusionWe hope our framework may contribute to the dialogue on best practices to ensure high quality epidemiologic and quality improvement work. As a result of implementation of the framework, the VA Colonoscopy Collaborative holds great promise for 1) quantifying and providing novel understandings of colonoscopy outcomes, and 2) building a robust approach for nationwide VA colonoscopy quality reporting.
| S-EPMC5983017 | biostudies-literature
Project description: Not available
| S-EPMC1463958 | biostudies-literature