(Circulation. 2005;112:2754-2755.)
© 2005 American Heart Association, Inc.
Editorial |
From Mayo Clinic (D.R.H., M.S.), Rochester, Minn, and Duke Clinical Research Institute (P.H.), Durham, NC.
Correspondence to Mandeep Singh, MD, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
Key Words: Editorials coronary disease risk factors guidelines
| Introduction |
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Article p 2786
Although the guidelines approach makes intuitive sense, there are very limited data about the impact guidelines have had on PCI. The current article by Anderson et al2 is a substantial effort to remedy that shortfall. As the authors point out, the ACCs National Cardiovascular Data Registry (ACC-NCDR) was developed to apply rigorous methodology to the collection of data about interventional procedures using uniform data entry, written definitions, and data quality checks. It has become a robust tool and, in the present study, provides the results of 463 088 procedures performed from January 1, 2001, to March 31, 2004. Given the large size of the data set, important statistical and clinically meaningful conclusions could be expected, and in fact, some were identified.
| What Did We Learn? |
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The classifications and guidelines are based on perceived risk, and so, not surprisingly, clinical profiles of class I patients were better than those of patients in class II or III, with fewer risk factors, including advanced age, diabetes, 3-vessel disease, prior myocardial infarction, and coexistent renal disease. Having said that, however, even in class III patients, the risk profile did not appear to be prohibitively high.
Drug-eluting stents were used infrequently (in <20% of cases), but it is likely that this low number reflects the fact that patient entry for this study started before the widespread introduction of these stents.
The essential part of this study is the relationship between guideline classification and outcome. Clinical success rates decreased successively across the classes. The magnitude of the decline varied: it was small between class I and class IIA (92.8% versus 91.7%) but rather large between class I and class III (92.8% versus 85.5%). In-hospital mortality rose from 0.5% in class I to 1.7% in class III; however, mortality was not risk-adjusted, which may mask some of the true difference. The rate of CABG during the same admission was lowest in class III, probably related to the fact that many of these patients were considered too high risk for surgery.
| What Are the Problems With the Study? |
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Second, the aforementioned high-risk features may have led interventionalists performing the procedures to choose PCI despite familiarity with the guidelines.
Third, often class III indications are due to left main interventions, chronic total occlusion in the setting of prior surgery, multivessel vein-graft interventions in patients with left ventricular dysfunction, and relatively asymptomatic patients with 1- or 2-vessel disease without diabetes mellitus and without inducible ischemia. Anderson et al2 have not separated patients in the class III category into different contraindications. A patient with single-vessel disease, no diabetes, and no inducible ischemia, for example, is likely to have lower risk than a patient with unprotected left main disease who is not a surgical candidate. If most interventions were performed on patients with prior cardiac surgery, the threshold of the operator to recommend another open-heart surgery would be high and may match the unwillingness of the patient.
Next, the guidelines in this observational registry were retrofitted. The circumstances surrounding the decision to perform coronary angioplasty are complex and cannot be accurately captured in the ACC-NCDR database. Such decisions involve not only the demographic and angiographic features that most current databases include but also family, social, and patient-centered issues such as cognitive skills, depression, and quality of life.
Finally, there are ample data demonstrating the volume/outcome relationship, and most of the hospitals reporting data in this registry are in the high-volume category.5 Therefore, the generalizability of the results across different practices is uncertain.
| What Are the Take-Home Messages? |
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Analyses of outcome data based on classification guidelines do not allow for risk stratification, although that is part of the process used in the development of some parts of the guidelines. In addition, this data set deals only with in-hospital outcomes, although it may have distinct relevance to longer-term events.
Guideline development is a vital part of the charter of professional societies; it influences the care of specific patients and the development of strategies for groups of patients. The process is demanding and time consuming: weighing all the evidence, coming to an expert consensus on the strength of data, and then crafting, modifying, and publishing the specific guidelines. Despite the laborious process, guidelines must be living documents; they must continue to evolve to meet the needs of interventional cardiologists faced with increasingly complex patients and an ever-changing array of new widgets. Studies such as this one by Anderson et al2 have demonstrated value; by pointing out the results of guidelines-led procedures, they act like the lighthouses that can keep our patients and systems safe. Initial exploratory reports like this are a toe in the water, testing it, and the present report sets the stage for the full plunge into this extraordinary data set.
| Footnotes |
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| References |
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2. Anderson VH, Shaw RE, Brindis RG, Klein LW, McKay CR, Kutcher MA, Krone RJ, Wolk MJ, Smith SC, Weintraub WS. Relationship between procedure indications and outcomes of percutaneous coronary interventions by American College of Cardiology/American Heart Association task force guidelines. Circulation. 2005; 112; 27862791.
3. Singh M, Lennon RJ, Holmes DR Jr, Bell MR, Rihal CS. Correlates of procedural complications and a simple integer risk score for percutaneous coronary intervention. J Am Coll Cardiol. 2002; 40: 387393.
4. Moscucci M, Kline-Rogers E, Share D, ODonnell M, Maxwell-Eward A, Meengs WL, Kraft P, DeFranco AC, Chambers JL, Patel K, McGinnity JG, Eagle KA. Simple bedside additive tool for prediction of in-hospital mortality after percutaneous coronary interventions. Circulation. 2001; 104: 263268.
5. Wennberg DE, Lucas FL, Siewers AE, Kellett MA, Malenka DJ. Outcomes of percutaneous coronary interventions performed at centers without and with onsite coronary artery bypass graft surgery. JAMA. 2004; 292: 19611968.
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