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Researchers examined data from the ICD Registry™, identifying more than 53,000 patients who received ICD implants and underwent preoperative BNP measurement from 2006 to 2008. The patients were categorized into four groups by BNP levels (<100, 100 to <300, 300 to <1000, and ≥1000 pg/ml). Complication rates were compared among groups, and odds ratios for in-hospital mortality or cardiac arrest were estimated by multiple hierarchical logistic regressions. There were 2,952 complications reported, including 510 in-hospital deaths and 365 cardiac arrests. The rate of in-hospital mortality or cardiac arrest significantly increased with elevated BNP level (p < 0.001). This was particularly true in males, patients with renal dysfunction and patients undergoing CRT-D implantation. The authors concluded that “Strategies aimed at reducing preprocedural BNP or creating systems to better manage procedural risk in these high-risk patients to decrease complications associated with ICD implantation merit further investigation." To read a CardioSource Journal Scan of the article, click here. In-Hospital Major Bleeding During ST-Elevation and Non–ST-Elevation Myocardial Infarction Care: Derivation and Validation of a Model from the Seeking to develop a bleeding model that would allow for the standardization of bleeding events and risk adjustment across hospitals with varying case mix, researchers examined baseline characteristics and in-hospital major bleeding for 90,273 patients enrolled in 251 ACTION Registry-GWTG hospitals across the U.S. Using multivariate analysis to outline the 12 presenting variables most closely associated with major bleeding, the authors developed a model to stratify risk of bleeding and enable risk-adjusted bleeding outcomes. As published in The American Journal of Cardiology, findings indicated that the risk model discriminated well in the derivation (C-statistic=0.73) and validation (C-statistic=0.71) cohorts. Predicted risk for major bleeding derived from the model corresponded well with observed bleeding: very low risk (3.9%), low risk (7.3%), moderate risk (16.1%), high risk (29.0%), and very high risk (39.8%). “Reporting of outcomes is an integral component for quality improvement initiatives among hospitals. This model enables adjustment for case-mix in outcomes, making it useful for clinical decision making as well as quality improvement. We believe our model will be of interest to multiple stakeholders and that advancing our understanding of adjustment for bleeding outcomes will facilitate AMI safety,” said Lead Author Robin Mathews, MD. To read a CardioSource Journal Scan of the article, click here. Effect of Prior Stroke on the Use of Evidence-Based Therapies and In-Hospital Outcomes in Patients with Myocardial Infarction Examining use of evidence-based medications and procedures in patients with and without previous stroke, researchers analyzed data from 281 hospitals participating in the ACTION Registry®-GWTG™ between January and December 2007. Patients with ST-segment elevation MI (STEMI; n=15,997) and non-STEMI (NSTEMI; n=25,514) were included. Overall, STEMI patients with a previous stroke are at increased risk for death; and both STEMI and NSTEMI patients are at increased risk of MACE. Regardless, previous stroke patients are less likely to receive guideline-based MI therapies. Regional Variations in Physicians’ Attitudes and Recommendations Surrounding Implantable Cardioverter-Defibrillators To examine whether physicians’ attitudes and recommendations surrounding implantable cardioverter-defibrillators (ICDs) are regionally associated with ICD use, researchers conducted a national electronic survey of 9,969 American College of Cardiology members. Responses were merged with ICD implantation rate data from the ICD Registry™ and multivariable regression was used to assess trends between regional use and responses. Published in the Journal of Cardiac Failure, results (based on a 12% response rate) showed that independent of variations in physicians’ attitudes toward ICDs, physicians in regions of low ICD use are not less likely to recommend ICDs in situations clearly supported by guidelines while those in regions of high ICD use are more likely to recommend ICDs to patients who might have limited benefit. To read the abstract, click here. For more information about how analysis of NCDR data is being used to answer healthcare delivery and clinical questions, visit www.ncdr.com/research.
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