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Databases for assessing the outcomes of the treatment of patients with congenital and paediatric cardiac disease – the perspective of critical care

Part of: The International Society for Nomenclature of Paediatric and Congenital Heart Disease (ISNPCHD)

Published online by Cambridge University Press:  01 December 2008

Joan M. LaRovere ,
Howard E. Jeffries ,
Ramesh C. Sachdeva ,
Thomas B. Rice ,
Randall C. Wetzel ,
David S. Cooper ,
Geoffrey L. Bird ,
Nancy S. Ghanayem ,
Paul A. Checchia  and
Anthony C. Chang
...Show all authors
Joan M. LaRovere*
Affiliation:
Department of Paediatric Intensive Care, The Royal Brompton Hospital, London, United Kingdom
Howard E. Jeffries
Affiliation:
Division of Critical Care, Seattle Children’s Hospital, Seattle, Washington, United States of America
Ramesh C. Sachdeva
Affiliation:
National Outcomes Center, United States of America Department of Critical Care, Children’s Hospital of Wisconsin, Milwaukee, Wisconsin, United States of America
Thomas B. Rice
Affiliation:
Department of Critical Care, Children’s Hospital of Wisconsin, Milwaukee, Wisconsin, United States of America
Randall C. Wetzel
Affiliation:
Critical Care Medicine, Children’s Hospital Los Angeles, Los Angeles, California, United States of America
David S. Cooper
Affiliation:
The Congenital Heart Institute of Florida (CHIF), Division of Critical Care, All Children’s Hospital and Children’s Hospital of Tampa, University of South Florida College of Medicine, Florida Pediatric Associates, Saint Petersburg and Tampa, Florida, United States of America
Geoffrey L. Bird
Affiliation:
Critical Care Medicine, Cardiac Centre, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
Nancy S. Ghanayem
Affiliation:
Department of Critical Care, Children’s Hospital of Wisconsin, Milwaukee, Wisconsin, United States of America
Paul A. Checchia
Affiliation:
Critical Care Medicine, St Louis Children’s Hospital; St. Louis, Missouri, United States of America
Anthony C. Chang
Affiliation:
Heart Institute, Children’s Hospital of Orange County, Orange County, California, United States of America
David L. Wessel
Affiliation:
Critical Care Medicine, Children’s Hospital National Medical Center, Washington DC, United States of America
*
Correspondence to: Dr Joan M LaRovere, Paediatric Intensive Care Unit, The Royal Brompton Hospital, Sydney Street, London, SW3 6NP, United Kingdom. Tel: +44 (0)207 351 8546; Fax: +44 (0)207 351 8379; E-mail: [email protected]
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Abstract

The development of databases to track the outcomes of children with cardiovascular disease has been ongoing for much of the last two decades, paralleled by the rise of databases in the intensive care unit. While the breadth of data available in national, regional and local databases has grown exponentially, the ability to identify meaningful measurements of outcomes for patients with cardiovascular disease is still in its early stages.

In the United States of America, the Virtual Pediatric Intensive Care Unit Performance System (VPS) is a clinically based database system for the paediatric intensive care unit that provides standardized high quality, comparative data to its participants [https://portal.myvps.org/]. All participants collect information on multiple parameters: (1) patients and their stay in the hospital, (2) diagnoses, (3) interventions, (4) discharge, (5) various measures of outcome, (6) organ donation, and (7) paediatric severity of illness scores. Because of the standards of quality within the database, through customizable interfaces, the database can also be used for several applications: (1) administrative purposes, such as assessing the utilization of resources and strategic planning, (2) multi-institutional research studies, and (3) additional internal projects of quality improvement or research.

In the United Kingdom, The Paediatric Intensive Care Audit Network is a database established in 2002 to record details of the treatment of all critically ill children in paediatric intensive care units of the National Health Service in England, Wales and Scotland. The Paediatric Intensive Care Audit Network was designed to develop and maintain a secure and confidential high quality clinical database of pediatric intensive care activity in order to meet the following objectives: (1) identify best clinical practice, (2) monitor supply and demand, (3) monitor and review outcomes of treatment episodes, (4) facilitate strategic healthcare planning, (5) quantify resource requirements, and (6) study the epidemiology of critical illness in children.

Two distinct physiologic risk adjustment methodologies are the Pediatric Risk of Mortality Scoring System (PRISM), and the Paediatric Index of Mortality Scoring System 2 (PIM 2). Both Pediatric Risk of Mortality (PRISM 2) and Pediatric Risk of Mortality (PRISM 3) are comprised of clinical variables that include physiological and laboratory measurements that are weighted on a logistic scale. The raw Pediatric Risk of Mortality (PRISM) score provides quantitative measures of severity of illness. The Pediatric Risk of Mortality (PRISM) score when used in a logistic regression model provides a probability of the predicted risk of mortality. This predicted risk of mortality can then be used along with the rates of observed mortality to provide a quantitative measurement of the Standardized Mortality Ratio (SMR). Similar to the Pediatric Risk of Mortality (PRISM) scoring system, the Paediatric Index of Mortality (PIM) score is comprised of physiological and laboratory values and provides a quantitative measurement to estimate the probability of death using a logistic regression model.

The primary use of national and international databases of patients with congenital cardiac disease should be to improve the quality of care for these patients. The utilization of common nomenclature and datasets by the various regional subspecialty databases will facilitate the eventual linking of these databases and the creation of a comprehensive database that spans conventional geographic and subspecialty boundaries.

Keywords

Congenital heart diseasequality improvementpatient safetycomplicationsintensive caresurgical outcomesregistrycardiacanaesthesiacongenitalpediatricdatabase
Type
Original Article
Information
Cardiology in the Young , Volume 18 , Issue S2: Databases and the assessment of complications associated with the treatment of patients with congenital cardiac disease , December 2008 , pp. 130 - 136
Copyright
Copyright © Cambridge University Press 2008

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Footnotes

*

These authors contributed equally to this work.

References

1. Pan Thames Report of the Paediatric Intensive Care Audit Network January 2004–December 2006. [www.picanet.org.uk/documentation], accessed August 27, 2008.Google Scholar
2. Society for Clinical Data Management. Good Clinical Data Management Practices Version 3, 2003. [www.scdm.org/publications], accessed August 27, 2008.Google Scholar
3.Sachdeva, R. Electronic healthcare data collection and pay-for-performance: translating theory into practice. Ann Health Law 2007; 16: 291–311.Google Scholar
4. Sachdeva R, Pedretti J. Presentations at the NACHRI Annual Meetings, Boston, Massachusetts, 32006 and San Antonio, Texas, 2007.Google Scholar
5.Pollack, MM, Ruttimann, UE, Getson, PR. Pediatric Risk of Mortality (PRISM) score. Crit Care Med 1988; 16: 1110–1116.CrossRefGoogle ScholarPubMed
6.Slater, A, Shann, F, Pearson, G. PIM 2: A revised version of the Paediatric Index of Mortality. Int Care Med 2003; 29: 278–285.CrossRefGoogle ScholarPubMed
7.Pollack, MM, Patel, KM, Ruttimann, UE. PRISM III: An updated Pediatric Risk of Mortality score. Crit Care Med 1996; 24: 743–752.CrossRefGoogle ScholarPubMed
8.Fiser, DH. Assessing the outcome of pediatric intensive care. J Pediatr 1992; 121: 68–74.CrossRefGoogle ScholarPubMed
9.Leteurtre, S, Martinot, A, Duhamel, A, et al. Validation of the paediatric logistic organ dysfunction (PELOD) score: prospective, observational, multicentre Study. Lancet 2003; 362: 192–197.CrossRefGoogle ScholarPubMed
10.Wachter, R. Expected and unanticipated consequences of the quality and information technology revolutions. JAMA 2006; 295: 2780–2783.CrossRefGoogle ScholarPubMed
11.Benavidez, OJ, Gauvreau, K, Del Nido, P, Bacha, E, Jenkins, KJ. Complications and risk factors for mortality during congenital heart surgery admissions. Ann Thorac Surg 2007; 84: 147–155.CrossRefGoogle ScholarPubMed