Publications by authors named "Eric Eisenstein"

Introduction: The value of Source Data Verification (SDV) has been a common theme in the applied Clinical Translational Science literature. Yet, few published assessments of SDV quality exist even though they are needed to design risk-based and reduced monitoring schemes. This review was conducted to identify reports of SDV quality, with a specific focus on accuracy.

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Background: eSource software that transfers patient electronic health record data into a clinical trial electronic case report form holds promise for increasing data quality while reducing data collection, monitoring and source document verification costs. Integrating eSource into multicenter clinical trial start-up procedures could facilitate the use of eSource technologies in clinical trials.

Methods: We conducted a qualitative integrative analysis to identify eSource site start-up key steps, challenges that might occur in executing those steps, and potential solutions to those challenges.

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Article Synopsis
  • The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides updated recommendations for clinicians to evaluate and manage the cardiovascular health of adult patients undergoing noncardiac surgeries.
  • A comprehensive literature search was conducted from August 2022 to March 2023 to gather relevant clinical studies and reviews published in English, ensuring the guidelines are evidence-based.
  • The new guideline replaces the older 2014 version, incorporating updated findings and offering specific strategies for managing cardiovascular disease during the perioperative period, including medication and monitoring techniques.
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Aim: The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides recommendations to guide clinicians in the perioperative cardiovascular evaluation and management of adult patients undergoing noncardiac surgery.

Methods: A comprehensive literature search was conducted from August 2022 to March 2023 to identify clinical studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline.

Structure: Recommendations from the "2014 ACC/AHA Guideline on Perioperative Cardiovascular Evaluation and Management of Patients Undergoing Noncardiac Surgery" have been updated with new evidence consolidated to guide clinicians; clinicians should be advised this guideline supersedes the previously published 2014 guideline.

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While pilots and production use of software based on the Health Level Seven (HL7®) Fast Healthcare Interoperability Resources (FHIR®) standard are increasing in clinical research, we lack consistent evaluative data on important outcomes, such as data accuracy. We compared the accuracy of EHR collected, FHIR® extracted data (called EHR-to-eCRF data collection) to traditional clinical trial data collection. The accuracy rate for EHR-collected data was significantly higher than for the same data collected through traditional methods.

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Background: eSource software that copies patient electronic health record data into a clinical trial electronic case report form holds promise for increasing data quality while reducing data collection, monitoring and source document verification costs. Integrating eSource into multicenter clinical trial start-up procedures could facilitate the use of eSource technologies in clinical trials.

Methods: We conducted a qualitative integrative analysis to identify eSource site start-up key steps, challenges that might occur in executing those steps, and potential solutions to those challenges.

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Article Synopsis
  • The TRANSFORM-HF trial found no significant differences in outcomes between torsemide and furosemide for patients hospitalized with heart failure, with concerns about patient adherence affecting results.
  • This study analyzed on-treatment outcomes, excluding non-adherent patients, assessing 2859 hospitalized heart failure patients over 12 months.
  • The findings showed no notable differences in all-cause mortality or hospitalization rates between the two medications at discharge and 30-day follow-up.
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Background: Machine learning (ML) may cost-effectively direct health care by identifying patients most likely to benefit from preventative interventions to avoid negative and expensive outcomes. System for High-Intensity Evaluation During Radiation Therapy (SHIELD-RT; NCT04277650) was a single-institution, randomized controlled study in which electronic health record-based ML accurately identified patients at high risk for acute care (emergency visit or hospitalization) during radiotherapy (RT) and targeted them for supplemental clinical evaluations. This ML-directed intervention resulted in decreased acute care utilization.

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Aim: Among patients discharged after hospitalization for heart failure (HF), a strategy of torsemide versus furosemide showed no difference in all-cause mortality or hospitalization. Clinicians have traditionally favoured torsemide in the setting of kidney dysfunction due to better oral bioavailability and longer half-life, but direct supportive evidence is lacking.

Methods And Results: The TRANSFORM-HF trial randomized patients hospitalized for HF to a long-term strategy of torsemide versus furosemide, and enrolled patients across the spectrum of renal function (without dialysis).

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Background: The TRANSFORM-HF trial (Torsemide Comparison With Furosemide for Management of Heart Failure) found no significant difference in all-cause mortality or hospitalization among patients randomized to a strategy of torsemide versus furosemide following a heart failure (HF) hospitalization. However, outcomes and responses to some therapies differ by left ventricular ejection fraction (LVEF). Thus, we sought to explore the effect of torsemide versus furosemide by baseline LVEF and to assess outcomes across LVEF groups.

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Background: Registry-based trials have the potential to reduce randomized clinical trial (RCT) costs. However, observed cost differences also may be achieved through pragmatic trial designs. A systematic comparison of trial costs across different designs has not been previously performed.

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Article Synopsis
  • There are notable differences in the clinical profiles and outcomes of patients with de novo heart failure (HF) compared to those with worsening chronic heart failure (WHF), particularly regarding diuretic treatment effects.
  • A study analyzed data from the TRANSFORM-HF trial to compare the effects of torsemide vs furosemide on hospitalized patients with either type of HF, assessing outcomes like mortality and hospitalizations over 12 months.
  • Results showed that patients with de novo HF were generally younger, had better kidney function, lower natriuretic peptide levels, and lower mortality and rehospitalization rates compared to WHF patients, indicating a less severe condition and better treatment response.
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The 21 Century Cures Act allows the US Food and Drug Administration to consider real world data (RWD) for new indications or post approval study requirements. However, there is limited guidance as to the relative quality of different RWD types. The ACE-RWD program will compare the quality of EHR clinical data, EHR billing data, and linked healthcare claims data to traditional clinical trial data collection methods.

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Article Synopsis
  • The TRANSFORM-HF trial studied whether torsemide offers better improvement in symptoms and quality of life for heart failure patients compared to furosemide, involving 2,859 hospitalized patients across 60 U.S. hospitals.
  • It was a randomized trial where patients received either torsemide or furosemide; their health outcomes were measured over 12 months using the Kansas City Cardiomyopathy Questionnaire and the Patient Health Questionnaire-2.
  • Results showed no significant differences in patient-reported outcomes between torsemide and furosemide, indicating both diuretics provided similar benefits in heart failure management over the study period.
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  • - The study aimed to understand site readiness for eSource software, which automates the transfer of patient data into clinical study forms, as there is limited evidence on choosing suitable sites for eSource multi-center studies.
  • - Researchers conducted an eSource site readiness survey with 61 participants from various clinical roles, identifying that key data categories like medication and vital signs were prioritized for automation, yet only 21% of sites utilized certain data exchange standards.
  • - Findings suggest that readiness for eSource studies is influenced by not only technical capabilities but also organizational priorities and the support of clinical research functions, highlighting the need for a comprehensive assessment of site readiness.
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  • This study aimed to compare the effects of torsemide and furosemide on mortality rates among patients hospitalized for heart failure, hypothesizing that torsemide would lead to a 20% reduction in mortality.
  • TRANSFORM-HF involved 2,859 hospitalized heart failure patients, with a follow-up period of up to 30 months, allowing for a thorough assessment of all-cause mortality and hospitalizations.
  • Results showed no significant difference in mortality between the two medications, with both groups having similar death rates (26.1% for torsemide and 26.2% for furosemide), suggesting torsemide does not offer a mortality benefit over furosemide in heart failure patients.
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Background: Single Institutional Review Boards (sIRB) are not achieving the benefits envisioned by the National Institutes of Health. The recently published Health Level Seven (HL7®) Fast Healthcare Interoperability Resources (FHIR®) data exchange standard seeks to improve sIRB operational efficiency.

Methods And Results: We conducted a study to determine whether the use of this standard would be economically attractive for sIRB workflows collectively and for Reviewing and Relying institutions.

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Background: Death ascertainment can be challenging for pragmatic clinical trials that limit site follow-up activities to usual clinical care.

Methods And Results: We used blinded aggregate data from the ongoing ToRsemide comparison with furoSemide FOR Management of Heart Failure (TRANSFORM-HF) pragmatic clinical trial in patients with heart failure to evaluate the agreement between centralized call center death event identification and the United States National Death Index (NDI). Of 2284 total patients randomized through April 12, 2021, 1480 were randomized in 2018-2019 and 804 in 2020-2021.

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Aims: We have shown that chemokines injected into the periaqueductal gray region of the brain blocks opioid-induced analgesia in the rat cold-water tail flick test (CWTF). The present experiments tested whether chemokine receptor antagonists (CRAs), in combination with sub-analgesic doses of morphine, would provide maximal analgesia in the CWTF test and the mouse formalin pain assay. The effect of CRAs on respiratory depression was also evaluated.

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Background: The 21st Century Cures Act allows the US Food and Drug Administration (FDA) to utilize real-world data (RWD) to create real-world evidence (RWE) for new indications or post approval study requirements. We compared central adjudication with two insurance claims data sources to understand how endpoint accuracy differences impact RWE results.

Methods: We developed a decision analytic model to compare differences in efficacy (all-cause death, stroke and myocardial infarction) and safety (bleeding requiring transfusion) results for a simulated acute coronary syndrome antiplatelet therapy clinical trial.

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Direct extraction and use of electronic health record (EHR) data is a long-term and multifaceted endeavor that includes design, development, implementation and evaluation of methods and tools for semi-automating tasks in the research data collection process, including, but not limited to, medical record abstraction (MRA). A systematic mapping of study data elements was used to measure the coverage of the Health Level Seven (HL7®) Fast Healthcare Interoperability Resources (FHIR®) standard for a federally sponsored, pragmatic cardiovascular randomized controlled trial (RCT) targeting adults. We evaluated site-level implementations of the HL7® FHIR® standard to investigate study- and site-level differences that could affect coverage and offer insight into the feasibility of a FHIR-based eSource solution for multicenter clinical research.

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The direct use of EHR data in research, often referred to as 'eSource', has long-been a goal for researchers because of anticipated increases in data quality and reductions in site burden. eSource solutions should rely on data exchange standards for consistency, quality, and efficiency. The utility of any data standard can be evaluated by its ability to meet specific use case requirements.

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Randomized clinical trials are the foundation of evidence-based medicine and central to practice guidelines and patient care decisions. Nonetheless, randomized trials in heart failure (HF) populations have become increasingly difficult to conduct and are frequently associated with slow patient enrollment, highly selected populations, extensive data collection, and high costs. The traditional model for HF trials has become particularly difficult to execute in the United States, where challenges to site-based research have frequently led to modest U.

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Directly extracting data from site electronic health records for updating clinical trial databases (eSource) can reduce site data collection times and errors. We conducted a study to determine clinical trial characteristics that make eSource vs. traditional data collection methods more and less economically attractive.

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