Simplified risk score models accurately predict the risk of major in-hospital complications following percutaneous coronary intervention

Resnic, Frederic S.; Ohno-Machado, Lucila; Selwyn, Andrew P.; Simon, Daniel I.; Popma, Jeffrey J.

doi:10.1016/s0002-9149(01)01576-4

Cited by 82 publications

(52 citation statements)

References 11 publications

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“…Older models are depicted in Table V [52,[58][59][60][61][62][63][64][65]. Most current models predict in-hospital mortality only; two [55,57] predict all MACE.…”

Section: Quantitative Mortality Modelsmentioning

confidence: 99%

Quality assessment and improvement in interventional cardiology: A position statement of the society of cardiovascular angiography and interventions, Part II: Public reporting and risk adjustment

Klein

Singh

et al. 2011

Cathet Cardio Intervent

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“…Older models are depicted in Table V [52,[58][59][60][61][62][63][64][65]. Most current models predict in-hospital mortality only; two [55,57] predict all MACE.…”

Section: Quantitative Mortality Modelsmentioning

confidence: 99%

Quality assessment and improvement in interventional cardiology: A position statement of the society of cardiovascular angiography and interventions, Part II: Public reporting and risk adjustment

Klein

Singh

et al. 2011

Cathet Cardio Intervent

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“…These two latter variables and the use of intra-aortic balloon were not included in our analysis because data were not available for all patients. Resnic et al 13 identified similar factors predictive of mortality including cardiogenic shock, heart failure, tachycardia, renal failure, age ≥ 75 years, acute myocardial infarction and unstable angina. Block et al 30 analyzed the data of 8 different studies and identified a number of variables predictive of adverse events following percutaneous coronary interventions.…”

Section: Discussionmentioning

confidence: 97%

“…Because of the large number of procedures performed, in addition to morbidity and mortality risks, several studies have identified factors determining early and long-term outcomes [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] .…”

Section: Discussionmentioning

confidence: 99%

“…Based on these observations, the American College of Cardiology and the American Heart Association conceived a classification according to angiographic criteria to estimate the probability of early success and occurrence of complications [5][6] . Several studies have sought to identify predictors of inhospital outcomes following stent implantation, and some authors have developed prediction models of in-hospital events [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] . Risk estimates are important to assess outcomes as well as to help patients and their relatives to consent to the performance of the procedure.…”

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confidence: 99%

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Preditores independentes de resultados intra-hospitalares pós-implante de stent coronariano

Neri-Souza¹,

Aguiar²,

Coelho³

et al. 2006

Arq. Bras. Cardiol.

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objective: To identify independent clinical and angiographic predictors determining early outcomes following coronary stent implantation.Methods: Nine hundred and forty six patients with a mean age of 61.04 ± 10.98 years (31 to 91 years of age) underwent stent implantation; 580 were males (61.3%). Procedural success was defined when a patient had at least one vessel successfully dilated with a residual stenosis < 20%. Clinical success occurred when the procedure was successful and no major complications occurred (MI, need for CABG, or death) during the hospital stay. Clinical and angiographic characteristics were analyzed. All variables related to early outcomes as assessed by the univariate analysis were included in the logistic regression model. results:Procedural success was achieved in 98.9%, clinical success in 95.7%, uncomplicated unsuccessful outcomes occurred in 0.1%, and major complications in 4.2%. The multivariate analysis showed that restenotic lesion, calcification, and irregular contour were related to procedural success. Diabetes mellitus, cardiogenic shock, acute coronary syndromes, age, left ventricular dysfunction, calcification, and total occlusion were predictors of clinical success. Diabetes mellitus, cardiogenic shock, acute coronary syndromes, age, multivessel disease, left ventricular dysfunction, calcification, long lesions, and total occlusion were predictors of major complications, whereas cardiogenic shock, acute coronary syndromes, age, hypertension, and left ventricular dysfunction were predictors of in-hospital mortality. conclusion:Our results suggest that the early outcomes following stent implantation were significantly related to cardiogenic shock, left ventricular dysfunction, age, calcification, and total occlusion.

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“…Several models or scoring systems to predict the likelihood of in-hospital death and other major adverse cardiac events (MACE) after PCI have been developed [9][10][11][12][13][14][15][16][17][18]. These were developed and validated using all patients undergoing PCI, not just elective patients; thus, several of the risk factors identified in these reports would not be applicable to the elective PCI patient (Table I).…”

Section: Pci Procedures Indications and Risk Stratificationmentioning

confidence: 99%

Defining the length of stay following percutaneous coronary intervention

Chambers

Dehmer

Cox

et al. 2009

Cathet Cardio Intervent

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Percutaneous coronary intervention (PCI) is the most common method of coronary revascularization. Over time, as operator skills and technical advances have improved procedural outcomes, the length of stay (LOS) has decreased. However, standardization in the definition of LOS following PCI has been challenging due to significant physician, procedural, and patient variables. Given the increased focus on both patient safety as well as the cost of medical care, system process issues are a concern and provide a driving force for standardization while simultaneously maintaining the quality of patient care. This document:(1) provides a summary of the existing published data on same-day patient discharge following PCI, (2) reviews studies that developed methods to predict risk following PCI, and (3) provides clarification of the terms used to define care settings following PCI. In addition, a decision matrix is proposed for the care of patients following PCI. It is intended to provide both the interventional cardiologist as well as the facilities, in which they are associated, a guide to allow for the appropriate LOS for the appropriate patient who could be considered for early discharge or outpatient intervention. V C 2009 Wiley-Liss, Inc.

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Simplified risk score models accurately predict the risk of major in-hospital complications following percutaneous coronary intervention

Cited by 82 publications

References 11 publications

Quality assessment and improvement in interventional cardiology: A position statement of the society of cardiovascular angiography and interventions, Part II: Public reporting and risk adjustment

Quality assessment and improvement in interventional cardiology: A position statement of the society of cardiovascular angiography and interventions, Part II: Public reporting and risk adjustment

Preditores independentes de resultados intra-hospitalares pós-implante de stent coronariano

Defining the length of stay following percutaneous coronary intervention

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