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Showing papers by "Fred H. Edwards published in 2008"


Journal ArticleDOI
TL;DR: Patients who undergo CABG within 5 days of receiving clopidogrel are at increased risk for reoperation, major bleeding, and increased length of stay, and these risks must be balanced by the clinical benefits of clopIDogrel use demonstrated in randomized clinical trials.

194 citations


Journal ArticleDOI
TL;DR: The current state of analysis of outcomes is considered, some principles which might make it possible to achieve life-long monitoring and follow-up using databases are laid out, and the next steps those involved in the care of these patients need to take are described.
Abstract: This review discusses the historical aspects, current state of the art, and potential future advances in the areas of nomenclature and databases for the analysis of outcomes of treatments for patients with congenitally malformed hearts. We will consider the current state of analysis of outcomes, lay out some principles which might make it possible to achieve life-long monitoring and follow-up using our databases, and describe the next steps those involved in the care of these patients need to take in order to achieve these objectives. In order to perform meaningful multi-institutional analyses, we suggest that any database must incorporate the following six essential elements: use of a common language and nomenclature, use of an established uniform core dataset for collection of information, incorporation of a mechanism of evaluating case complexity, availability of a mechanism to assure and verify the completeness and accuracy of the data collected, collaboration between medical and surgical subspecialties, and standardised protocols for life-long follow-up. During the 1990s, both The European Association for Cardio-Thoracic Surgery and The Society of Thoracic Surgeons created databases to assess the outcomes of congenital cardiac surgery. Beginning in 1998, these two organizations collaborated to create the International Congenital Heart Surgery Nomenclature and Database Project. By 2000, a common nomenclature, along with a common core minimal dataset, were adopted by The European Association for Cardio-Thoracic Surgery and The Society of Thoracic Surgeons, and published in the Annals of Thoracic Surgery. In 2000, The International Nomenclature Committee for Pediatric and Congenital Heart Disease was established. This committee eventually evolved into the International Society for Nomenclature of Paediatric and Congenital Heart Disease. The working component of this international nomenclature society has been The International Working Group for Mapping and Coding of Nomenclatures for Paediatric and Congenital Heart Disease, also known as the Nomenclature Working Group. By 2005, the Nomenclature Working Group crossmapped the nomenclature of the International Congenital Heart Surgery Nomenclature and Database Project of The European Association for Cardio-Thoracic Surgery and The Society of Thoracic Surgeons with the European Paediatric Cardiac Code of the Association for European Paediatric Cardiology, and therefore created the International Paediatric and Congenital Cardiac Code, which is available for free download from the internet at [http://www.IPCCC.NET]. This common nomenclature, the International Paediatric and Congenital Cardiac Code, and the common minimum database data set created by the International Congenital Heart Surgery Nomenclature and Database Project, are now utilized by both The European Association for Cardio-Thoracic Surgery and The Society of Thoracic Surgeons. Between 1998 and 2007 inclusive, this nomenclature and database was used by both of these two organizations to analyze outcomes of over 150,000 operations involving patients undergoing surgical treatment for congenital cardiac disease. Two major multi-institutional efforts that have attempted to measure the complexity of congenital heart surgery are the Risk Adjustment in Congenital Heart Surgery-1 system, and the Aristotle Complexity Score. Current efforts to unify the Risk Adjustment in Congenital Heart Surgery-1 system and the Aristotle Complexity Score are in their early stages, but encouraging. Collaborative efforts involving The European Association for Cardio-Thoracic Surgery and The Society of Thoracic Surgeons are under way to develop mechanisms to verify the completeness and accuracy of the data in the databases. Under the leadership of The MultiSocietal Database Committee for Pediatric and Congenital Heart Disease, further collaborative efforts are ongoing between congenital and paediatric cardiac surgeons and other subspecialties, including paediatric cardiac anaesthesiologists, via The Congenital Cardiac Anesthesia Society, paediatric cardiac intensivists, via The Pediatric Cardiac Intensive Care Society, and paediatric cardiologists, via the Joint Council on Congenital Heart Disease and The Association for European Paediatric Cardiology. In finalizing our review, we emphasise that analysis of outcomes must move beyond mortality, and encompass longer term follow-up, including cardiac and non cardiac morbidities, and importantly, those morbidities impacting health related quality of life. Methodologies must be implemented in these databases to allow uniform, protocol driven, and meaningful, long term follow-up.

91 citations


Journal ArticleDOI
TL;DR: In patients aged 40 to 59 years, the mortality of mitral valve operation is approximately 2.5 times higher in women compared with men with similar risk factors and this survival disadvantage diminishes with further aging.

48 citations


Journal ArticleDOI
TL;DR: Efforts to measure educational quality, incorporating measurable patient-care outcomes to guide improvement are described, with a tiered framework for selecting clinical indicators whose outcomes would illustrate integration of the ACGME competencies and their assessment with learning and clinical care.
Abstract: The latest phase of the Accreditation Council for Graduate Medical Education (ACGME) Outcome Project challenges graduate medical education (GME) programs to select meaningful clinical quality indicators by which to measure trainee performance and progress, as well as to assess and improve educational effectiveness of programs. The authors describe efforts to measure educational quality, incorporating measurable patient-care outcomes to guide improvement. University of Florida College of Medicine-Jacksonville education leaders developed a tiered framework for selecting clinical indicators whose outcomes would illustrate integration of the ACGME competencies and their assessment with learning and clinical care. In order of preference, indicators selected should align with a specialty's (1) national benchmarked consensus standards, (2) national specialty society standards, (3) standards of local, institutional, or regional quality initiatives, or (4) top-priority diagnostic and/or therapeutic categories for the specialty, based on areas of high frequency, impact, or cost. All programs successfully applied the tiered process to clinical indicator selection and then identified data sources to track clinical outcomes. Using clinical outcomes in resident evaluation assesses the resident's performance as reflective of his or her participation in the health care delivery team. Programmatic improvements are driven by clinical outcomes that are shown to be below benchmark across the residents. Selecting appropriate clinical indicators-representative of quality of care and of graduate medical education-is the first step toward tracking educational outcomes using clinical data as the basis for evaluation and improvement. This effort is an important aspect of orienting trainees to using data for monitoring and improving care processes and outcomes throughout their careers.

46 citations


Journal ArticleDOI
TL;DR: This poster presents a poster presented at the 2016 American College of Cardiology Congress, entitled “Cardiac Surgical Associates: Foundations of Cardiac Rhythm Management, 2nd Ed.” (June 22-23, 2016).

44 citations


Journal ArticleDOI
TL;DR: The introduction of objective data in assessment of mortality and morbidity in congenital cardiac surgery is a significant step forward, which should allow a better evaluation of the complexity of the operations performed by a given centre or surgeon.
Abstract: When designed in 2000, the Aristotle Complexity Score was entirely based on subjective probability. This approach, based on the opinion of experts, was considered a good solution due to the limited amount of data available. In 2008, the next generation of the complexity score will be based on observed data available from over 100,000 congenital cardiac operations currently gathered in the congenital cardiac surgery databases of the Society of Thoracic Surgeons and the European Association for Cardio-Thoracic Surgery. A mortality score is created based on 70,000 surgeries harvested in the congenital databases of The Society of Thoracic Surgeons and The European Association for Cardio-Thoracic Surgery. It is derived from 118 congenital cardiovascular operations, representing 91% of the operations and including 97% of the patients. This Mortality Index of the new Aristotle Complexity Score could further be stratified into 5 levels with minimal within-group variation and maximal between-group variation, and may contribute to the planned unification of the Aristotle Complexity Score with the Risk Adjustment for Congenital Heart Surgery system. Similarly, a score quantifying morbidity risk is created. Due to the progress of congenital cardiac surgery, the mortality is today reduced to an average of 4%. No instrument currently exists to measure the quality of care delivered to the survivors representing 96% of the patients. An objective assessment of morbidity was needed. The Morbidity Index, based on 50,000 operations gathered in the congenital databases of The Society of Thoracic Surgeons and The European Association for Cardio-Thoracic Surgery, is derived from 117 congenital cardiovascular operations representing 90% of the operations and including 95% of the patients. This morbidity indicator is calculated on an algorithm based on length of stay in the hospital and time on the ventilator. The mortality and morbidity indicators will be part of the next generation of the complexity score, which will be named the Aristotle Average Complexity Score. It will be based on the sum of mortality, morbidity, and subjective technical difficulty. The introduction of objective data in assessment of mortality and morbidity in congenital cardiac surgery is a significant step forward, which should allow a better evaluation of the complexity of the operations performed by a given centre or surgeon.

36 citations


Journal ArticleDOI
TL;DR: Shahian et al. as discussed by the authors proposed statistical and clinical aspects of hospital outcomes profiling, including risk adjustment for measuring health care outcomes, 3rd ed., Chicago: Health Administration Press, 2003.

10 citations