Literature DB >> 23335498

The society of thoracic surgeons national database.

David M Shahian1, Jeffrey P Jacobs, Fred H Edwards, J Matthew Brennan, Rachel S Dokholyan, Richard L Prager, Cameron D Wright, Eric D Peterson, Donna E McDonald, Frederick L Grover.   

Abstract

AIMS: The Society of Thoracic Surgeons (STS) National Database collects detailed clinical information on patients undergoing adult cardiac, paediatric and congenital cardiac, and general thoracic surgical operations. These data are used to support risk-adjusted, nationally benchmarked performance assessment and feedback; voluntary public reporting; quality improvement initiatives; guideline development; appropriateness determination; shared decision making; research using cross-sectional and longitudinal registry linkages; comparative effectiveness studies; government collaborations including postmarket surveillance; regulatory compliance and reimbursement strategies.
INTERVENTIONS: All database participants receive feedback reports which they may voluntarily share with their hospitals or payers, or publicly report. STS analyses are regularly used as the basis for local, regional and national quality improvement efforts. POPULATION: More than 90% of adult cardiac programmes in the USA participate, as do the majority of paediatric cardiac programmes, and general thoracic participation continues to increase. Since the inception of the Database in 1989, more than 5 million patient records have been submitted. BASELINE DATA: Each of the three subspecialty databases includes several hundred variables that characterise patient demographics, diagnosis, medical history, clinical risk factors and urgency of presentation, operative details and postoperative course including adverse outcomes. DATA CAPTURE: Data are entered by trained data abstractors and by the care team, using detailed data specifications for each element. DATA QUALITY: Quality and consistency checks assure accurate and complete data, missing data are rare, and audits are performed annually of selected participant sites. ENDPOINTS: All major outcomes are reported including complications, status at discharge and mortality. DATA ACCESS: Applications for STS Database participants to use aggregate national data for research are available at http://www.sts.org/quality-research-patient-safety/research/publications-and-research/access-data-sts-national-database.

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Year:  2013        PMID: 23335498     DOI: 10.1136/heartjnl-2012-303456

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  27 in total

1.  The expanding role of mitral valve repair in triple valve operations: contemporary North American outcomes in 8,021 patients.

Authors:  Rakesh M Suri; Vinod H Thourani; Brian R Englum; J Scott Rankin; Vinay Badhwar; Lars G Svensson; Gorav Ailawadi; Michael J Mack; Max He; J Matthew Brennan; Hartzell V Schaff; James S Gammie
Journal:  Ann Thorac Surg       Date:  2014-03-27       Impact factor: 4.330

Review 2.  The impact of feedback of surgical outcome data on surgical performance: a systematic review.

Authors:  Mahiben Maruthappu; Abhishek Trehan; Ashton Barnett-Vanes; Peter McCulloch; Matthew J Carty
Journal:  World J Surg       Date:  2015-04       Impact factor: 3.352

Review 3.  Beyond borders-international database collaboration in thoracic surgery.

Authors:  John Agzarian; Yaron Shargall
Journal:  J Thorac Dis       Date:  2018-10       Impact factor: 2.895

4.  Launching Effectiveness Research to Guide Practice in Neurosurgery: A National Institute Neurological Disorders and Stroke Workshop Report.

Authors:  Patricia Walicke; Aviva Abosch; Anthony Asher; Fred G Barker; Zoher Ghogawala; Robert Harbaugh; Lara Jehi; John Kestle; Walter Koroshetz; Roderick Little; Donald Rubin; Alex Valadka; Stephen Wisniewski; E Antonio Chiocca
Journal:  Neurosurgery       Date:  2017-04-01       Impact factor: 4.654

5.  The impact of high-risk cases on hospitals' risk-adjusted coronary artery bypass grafting mortality rankings.

Authors:  Brian R Englum; Paramita Saha-Chaudhuri; David M Shahian; Sean M O'Brien; J Matthew Brennan; Fred H Edwards; Eric D Peterson
Journal:  Ann Thorac Surg       Date:  2015-01-09       Impact factor: 4.330

6.  Large clinical databases for the study of lung cancer: Making up for the failure of randomized trials.

Authors:  Chi-Fu Jeffrey Yang; Matthew G Hartwig; Thomas A D'Amico; Mark F Berry
Journal:  J Thorac Cardiovasc Surg       Date:  2015-09-05       Impact factor: 5.209

7.  Improving Patient Outcomes in Gynecology: The Role of Large Data Registries and Big Data Analytics.

Authors:  Elisabeth A Erekson; Cheryl B Iglesia
Journal:  J Minim Invasive Gynecol       Date:  2015-07-15       Impact factor: 4.137

Review 8.  From Nonclinical Research to Clinical Trials and Patient-registries: Challenges and Opportunities in Biomedical Research.

Authors:  José M de la Torre Hernández; Elazer R Edelman
Journal:  Rev Esp Cardiol (Engl Ed)       Date:  2017-08-31

9.  Transcatheter Versus Surgical Aortic Valve Replacement: Propensity-Matched Comparison.

Authors:  J Matthew Brennan; Laine Thomas; David J Cohen; David Shahian; Alice Wang; Michael J Mack; David R Holmes; Fred H Edwards; Naftali Z Frankel; Suzanne J Baron; John Carroll; Vinod Thourani; E Murat Tuzcu; Suzanne V Arnold; Roberta Cohn; Todd Maser; Brenda Schawe; Susan Strong; Allen Stickfort; Elizabeth Patrick-Lake; Felicia L Graham; Dadi Dai; Fan Li; Roland A Matsouaka; Sean O'Brien; Fan Li; Michael J Pencina; Eric D Peterson
Journal:  J Am Coll Cardiol       Date:  2017-07-25       Impact factor: 24.094

10.  Central venous pressure after coronary artery bypass surgery: does it predict postoperative mortality or renal failure?

Authors:  Judson B Williams; Eric D Peterson; Daniel Wojdyla; Ralf Harskamp; Kevin W Southerland; T Bruce Ferguson; Peter K Smith; Carmelo A Milano; Renato D Lopes
Journal:  J Crit Care       Date:  2014-06-09       Impact factor: 3.425

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