Predicting one-year mortality among elderly survivors of hospitalization for an acute myocardial infarction: results from the Cooperative Cardiovascular Project

Krumholz, Harlan M.; Chen, Jersey; Chen, Ya-Ting; Wang, Yongfei; Radford, Martha J.

doi:10.1016/s0735-1097(01)01395-x

Cited by 114 publications

(78 citation statements)

References 15 publications

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“…3 In ENRICHD, prior to multivariable correction, a similar effect was observed. [5][6][7][8][9] After correction for confounders, the association disappeared.…”

Section: Discussionmentioning

confidence: 99%

“…[2][3][4][5][6] Many studies have shown either no association or a favorable effect of obesity in patients with MI; others only a modest association with recurrent events. 1,[7][8][9][10] A pooled analysis of CAD patients has shown an inverse J curve with patients with BMI between 30-35 having the lowest long-term mortality. 11 Weight change after MI could affect the disease trajectory.…”

Section: Introductionmentioning

confidence: 99%

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Weight Change after Myocardial Infarction—the Enhancing Recovery in Coronary Heart Disease patients (ENRICHD) Experience

López-Jiménez

Tian

et al. 2008

American Heart Journal

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“…3 In ENRICHD, prior to multivariable correction, a similar effect was observed. [5][6][7][8][9] After correction for confounders, the association disappeared.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Weight Change after Myocardial Infarction—the Enhancing Recovery in Coronary Heart Disease patients (ENRICHD) Experience

López-Jiménez

Tian

et al. 2008

American Heart Journal

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“…For EF, an indicator variable reflecting missing values was included in models analyzing the incremental contribution of EF over the scores. 7 Ancillary analyses compared this approach to the complete case analysis and to imputation.…”

Section: Statistical Analysesmentioning

confidence: 99%

“…Furthermore, the scores have not been directly compared with one another in the same population, which is important for determining their respective value. Finally, although the Cooperative Cardiovascular Project score 7 underscored the prognostic value of the ejection fraction (EF) after MI, most scores do not include it. Thus, it is unknown whether adding the EF to these scores would increase their predictive power.…”

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confidence: 99%

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Scores for Post–Myocardial Infarction Risk Stratification in the Community

et al. 2002

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Background-Several scores, most of which were derived from clinical trials, have been proposed for stratifying risk after myocardial infarctions (MIs). Little is known about their generalizability to the community, their respective advantages, and whether the ejection fraction (EF) adds prognostic information to the scores. The purpose of this study is to evaluate the Thrombolysis in Myocardial Infarction (TIMI) and Predicting Risk of Death in Cardiac Disease Tool (PREDICT) scores in a geographically defined MI cohort and determine the incremental value of EF for risk stratification. Methods and Results-MIs occurring in Olmsted County were validated with the use of standardized criteria and stratified with the ECG into ST-segment elevation (STEMI) and non-ST-segment elevation (NSTEMI) MI. Logistic regression examined the discriminant accuracy of the TIMI and PREDICT scores to predict death and recurrent MI and assessed the incremental value of the EF. After 6.3Ϯ4.7 years, survival was similar for the 562 STEMIs and 717 NSTEMIs. The discriminant accuracy of the TIMI score was good in STEMI but only fair in NSTEMI. Across time and end points, irrespective of reperfusion therapy, the discriminant accuracy of the PREDICT score was consistently superior to that of the TIMI scores, largely because PREDICT includes comorbidity; EF provided incremental information over that provided by the scores and comorbidity. Conclusion-In the community, comorbidity and EF convey important prognostic information and should be included in approaches for stratifying risk after MI.

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Socioeconomic Status and Outcome Following Acute Myocardial Infarction in Elderly Patients

Rao¹,

Schulman²,

Curtis³

et al. 2004

Arch Intern Med

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Despite the Medicare entitlement, there remain significant socioeconomic disparities in medical treatment and mortality among elderly patients following acute myocardial infarction. Income was independently associated with short- and long-term mortality. More research is required to determine the mechanisms contributing to adverse outcomes among poor elderly patients and to determine whether expansion of Medicare coverage will alleviate these disparities.

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Predicting one-year mortality among elderly survivors of hospitalization for an acute myocardial infarction: results from the Cooperative Cardiovascular Project

Abstract: We demonstrate that a simple risk model can stratify older patients well by their risk of death one year after discharge for AMI.

Cited by 114 publications

References 15 publications

Weight Change after Myocardial Infarction—the Enhancing Recovery in Coronary Heart Disease patients (ENRICHD) Experience

Weight Change after Myocardial Infarction—the Enhancing Recovery in Coronary Heart Disease patients (ENRICHD) Experience

Scores for Post–Myocardial Infarction Risk Stratification in the Community

Socioeconomic Status and Outcome Following Acute Myocardial Infarction in Elderly Patients

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