Martha J. Radford

2013 ACCF/AHA Guideline for the Management of ST-Elevation Myocardial Infarction

Jeffrey L. Anderson, MD, FACC, FAHA, Chair; Alice K. Jacobs, MD, FACC, FAHA, Immediate Past Chair; Jonathan L. Halperin, MD, FACC, FAHA, Chair-Elect; Nancy M. Albert, PhD, CCNS, CCRN, FAHA; Ralph G. Brindis, MD, MPH, MACC; Mark A. Creager, MD, FACC, FAHA; David DeMets, PhD; Robert A. Guyton, MD,

Warfarin in the Prevention of Stroke Associated with Nonrheumatic Atrial Fibrillation

BACKGROUND Nonrheumatic atrial fibrillation is common among the elderly and is associated with an increased risk of stroke. We investigated whether anticoagulation with warfarin would reduce this risk. METHODS We conducted a randomized, double-blind, placebo-controlled study to evaluate low-intensity anticoagulation with warfarin (prothrombin-time ratio, 1.2 to 1.5) in 571 men with chronic nonrheumatic atrial fibrillation; 525 patients had not previously had a cerebral infarction, whereas 46 patients had previously had such an event. The primary end point was cerebral infarction; secondary end points were cerebral hemorrhage and death. RESULTS Among the patients with no history of stroke, cerebral infarction occurred in 19 of the 265 patients in the placebo group during an average follow-up of 1.7 years (4.3 percent per year) and in 4 of the 260 patients in the warfarin group during an average follow-up of 1.8 years (0.9 percent per year). The reduction in risk with warfarin therapy was 0.79 (95 percent confidence interval, 0.52 to 0.90; P = 0.001). The annual event rate among the 228 patients over 70 years of age was 4.8 percent in the placebo group and 0.9 percent in the warfarin group (risk reduction, 0.79; P = 0.02). The only cerebral hemorrhage occurred in a 73-year-old patient in the warfarin group. Other major hemorrhages, all gastrointestinal, occurred in 10 patients: 4 in the placebo group, for a rate of 0.9 percent per year, and 6 in the warfarin group, for a rate of 1.3 percent per year. There were 37 deaths that were not preceded by a cerebral end point--22 in the placebo group and 15 in the warfarin group (risk reduction, 0.31; P = 0.19). Cerebral infarction was more common among patients with a history of cerebral infarction (9.3 percent per year in the placebo group and 6.1 percent per year in the warfarin group) than among those without such a history. CONCLUSIONS Low-intensity anticoagulation with warfarin prevented cerebral infarction in patients with nonrheumatic atrial fibrillation without producing an excess risk of major hemorrhage. This benefit extended to patients over 70 years of age.

Randomized trial of an education and support intervention to prevent readmission of patients with heart failure

OBJECTIVES We determined the effect of a targeted education and support intervention on the rate of readmission or death and hospital costs in patients with heart failure (HF). BACKGROUND Disease management programs for patients with HF including medical components may reduce readmissions by 40% or more, but the value of an intervention focused on education and support is not known. METHODS We conducted a prospective, randomized trial of a formal education and support intervention on one-year readmission or mortality and costs of care for patients hospitalized with HF. RESULTS Among the 88 patients (44 intervention and 44 control) in the study, 25 patients (56.8%) in the intervention group and 36 patients (81.8%) in the control group had at least one readmission or died during one-year follow-up (relative risk = 0.69, 95% confidence interval [CI]: 0.52, 0.92; p = 0.01). The intervention was associated with a 39% decrease in the total number of readmissions (intervention group: 49 readmissions; control group: 80 readmissions, p = 0.06). After adjusting for clinical and demographic characteristics, the intervention group had a significantly lower risk of readmission compared with the control group (hazard ratio = 0.56, 95% CI: 0.32, 0.96; p = 0.03) and hospital readmission costs of

2013 ACCF/AHA Guideline for the Management of ST-Elevation Myocardial Infarction: Executive Summary: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines

7,515 less per patient. CONCLUSIONS A formal education and support intervention substantially reduced adverse clinical outcomes and costs for patients with HF.

Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.

Jeffrey L. Anderson, MD, FACC, FAHA, Chair; Alice K. Jacobs, MD, FACC, FAHA, Immediate Past Chair; Jonathan L. Halperin, MD, FACC, FAHA, Chair-Elect; Nancy M. Albert, PhD, CCNS, CCRN, FAHA; Ralph G. Brindis, MD, MPH, MACC; Mark A. Creager, MD, FACC, FAHA; David DeMets, PhD; Robert A. Guyton, MD,

ACC/AHA Clinical Performance Measures for Adults With ST-Elevation and Non-ST-Elevation Myocardial Infarction. A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures (Writing Committee to Develop Performance Measures on ST-Elevation and Non-ST-Elevation Myocardial Infarction)

Objectives:We sought to determine which ICD-9-CM codes in Medicare Part A data identify cardiovascular and stroke risk factors. Design and Participants:This was a cross-sectional study comparing ICD-9-CM data to structured medical record review from 23,657 Medicare beneficiaries aged 20 to 105 years who had atrial fibrillation. Measurements:Quality improvement organizations used standardized abstraction instruments to determine the presence of 9 cardiovascular and stroke risk factors. Using the chart abstractions as the gold standard, we assessed the accuracy of ICD-9-CM codes to identify these risk factors. Main Results:ICD-9-CM codes for all risk factors had high specificity (>0.95) and low sensitivity (≤0.76). The positive predictive values were greater than 0.95 for 5 common, chronic risk factors—coronary artery disease, stroke/transient ischemic attack, heart failure, diabetes, and hypertension. The sixth common risk factor, valvular heart disease, had a positive predictive value of 0.93. For all 6 common risk factors, negative predictive values ranged from 0.52 to 0.91. The rare risk factors—arterial peripheral embolus, intracranial hemorrhage, and deep venous thrombosis—had high negative predictive value (≥0.98) but moderate positive predictive values (range, 0.54–0.77) in this population. Conclusions:Using ICD-9-CM codes alone, heart failure, coronary artery disease, diabetes, hypertension, and stroke can be ruled in but not necessarily ruled out. Where feasible, review of additional data (eg, physician notes or imaging studies) should be used to confirm the diagnosis of valvular disease, arterial peripheral embolus, intracranial hemorrhage, and deep venous thrombosis.

Predictors of readmission among elderly survivors of admission with heart failure

ACC/AHA TASK FORCE ON PERFORMANCE MEASURES Frederick A. Masoudi, MD, MSPH, FACC, Chair; Robert O. Bonow, MD, MACC, FAHA#; Elizabeth DeLong, PhD; N.A. Mark Estes III, MD, FACC, FAHA; David C. Goff, Jr, MD, PhD, FAHA, FACP; Kathleen Grady, PhD, RN, FAHA, FAAN; Lee A. Green, MD, MPH; Ann Loth, RN, MS, CNS; Eric D. Peterson, MD, MPH, FACC, FAHA; Martha J. Radford, MD, FACC, FAHA; John S. Rumsfeld, MD, PhD, FACC, FAHA; David M. Shahian, MD, FACC

Correlates and impact on outcomes of worsening renal function in patients ≥65 years of age with heart failure∗

BACKGROUND Readmission rates for patients discharged with heart failure approach 50% within 6 months. Identifying factors to predict risk of readmission in these patients could help clinicians focus resource-intensive disease management efforts on the high-risk patients. METHODS The study sample included patients 65 years of age or older with a principal discharge diagnosis of heart failure who were admitted to 18 Connecticut hospitals in 1994 and 1995. We obtained patient and clinical data from medical record review. We determined outcomes within 6 months after discharge, including all-cause readmission, heart failure-related readmission, and death, from the Medicare administrative database. We evaluated 2176 patients, including 1129 in the derivation cohort and 1047 in the validation cohort. RESULTS Of 32 patient and clinical factors examined, 4 were found to be significantly associated with readmission in a multivariate model. They were prior admission within 1 year, prior heart failure, diabetes, and creatinine level >2.5 mg/dL at discharge. The event rates according to number of risk predictors were similar in the derivation and the validation sets for all outcomes. In the validation cohort, rates for all-cause readmission and combined readmission or death were 26% and 31% in patients with no risk predictors, 48% and 54% in patients with 1 or 2 risk predictors, and 59% and 65% in patients with 3 or all risk predictors. CONCLUSIONS Few patient and clinical factors predict readmission within 6 months after discharge in elderly patients with heart failure. Although we were unable to identify a group of patients at very low risk, a group of high-risk patients were identified for whom resource-intensive interventions designed to improve outcomes may be justified.

Outcomes in heart failure patients with preserved ejection fraction: mortality, readmission, and functional decline.

1.5 mg/dl. Based on the number of these factors, a patients risk for developing worsening renal function ranged between 16% (< or =1 factor) and 53% (> or =5 factors). After adjusting for confounding effects, worsening renal function was associated with a significantly longer length of stay by 2.3 days, higher in-hospital cost by

The association of left ventricular ejection fraction, mortality, and cause of death in stable outpatients with heart failure ☆

1,758, and an increased risk of in-hospital mortality (odds ratio 2.72; 95% confidence interval 1.62 to 4.58). In conclusion, worsening renal function, an event that frequently occurs in elderly patients hospitalized with heart failure, confers a substantial burden to patients and the healthcare system and can be predicted by 6 admission characteristics.