Idioma:

Predicting long-term mortality in older patients after non–ST-segment elevation myocardial infarction: The CRUSADE long-term mortality model and risk score

Roe, Matthew T., MD, MHS ; Chen, Anita Y., MS ; Thomas, Laine, PhD ; Wang, Tracy Y., MD, MHS ; Alexander, Karen P., MD ; Hammill, Bradley G., MS ; Gibler, W. Brian, MD ; Ohman, E. Magnus, MD ; Peterson, Eric D., MD, MPH

The American heart journal, 2011-11, Vol.162 (5), p.875-883.e1 [Periódico revisado por pares]

New York, NY: Elsevier Inc

Texto completo disponível

Citações Citado por

Enviar para

Título:
Predicting long-term mortality in older patients after non–ST-segment elevation myocardial infarction: The CRUSADE long-term mortality model and risk score
Autor: Roe, Matthew T., MD, MHS ; Chen, Anita Y., MS ; Thomas, Laine, PhD ; Wang, Tracy Y., MD, MHS ; Alexander, Karen P., MD ; Hammill, Bradley G., MS ; Gibler, W. Brian, MD ; Ohman, E. Magnus, MD ; Peterson, Eric D., MD, MPH
Assuntos: Age ; Aged ; Aged, 80 and over ; Arrhythmias, Cardiac - physiopathology ; Biological and medical sciences ; Blood pressure ; Cardiology. Vascular system ; Cardiovascular ; Cardiovascular disease ; Coronary heart disease ; Coronary vessels ; Diabetes ; Electrocardiography ; Family medical history ; Female ; Health Services for the Aged - statistics & numerical data ; Heart ; Heart attacks ; Heart failure ; Heart rate ; Heart surgery ; Hospitalization ; Hospitalization - statistics & numerical data ; Humans ; Hypertension ; Male ; Medical sciences ; Medicare ; Models, Statistical ; Mortality ; Myocardial Infarction - mortality ; Myocardial Infarction - physiopathology ; Myocarditis. Cardiomyopathies ; Older people ; Population ; Proportional Hazards Models ; Registries ; Reproducibility of Results ; Risk Factors ; Stroke ; United States - epidemiology ; Variables
É parte de: The American heart journal, 2011-11, Vol.162 (5), p.875-883.e1
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Descrição: Objectives We sought to develop a long-term mortality risk prediction model and a simplified risk score for use in older patients with non–ST-segment elevation myocardial infarction (NSTEMI). Background Limited data are available regarding long-term mortality rates and concomitant risk predictors after acute myocardial infarction in contemporary community practice. Methods From the CRUSADE registry, a total of 43,239 (NSTEMI) patients aged ≥65 years treated at 448 hospitals in the United States from 2003 to 2006 were linked to Centers for Medicare and Medicaid Services data to track longitudinal all-cause mortality (median follow-up 453 days). Cox proportional hazard modeling was used to determine baseline independent demographic, clinical, and laboratory variables associated with long-term mortality. A simplified long-term mortality risk score was subsequently developed from these results. Results The median age of this population was 77 years, and mortality rates at 1, 2, and 3 years were 24.4%, 33.2%, and 40.3%, respectively. We identified 22 variables independently associated with long-term mortality in a full model (c-statistic 0.754 in the derivation sample and 0.744 in the validation sample). The CRUSADE long-term mortality risk score was limited to the 13 most clinically and statistically significant variables from the full model yet retained comparable discrimination in the derivation and validation samples (c-statistics 0.734 and 0.727, respectively) and had good calibration across the risk spectra. Conclusions Older patients face substantial long-term mortality risks after NSTEMI that can be accurately predicted from baseline characteristics. These prognostic estimates may support informed treatment decision-making and comparison of long-term provider outcomes.
Editor: New York, NY: Elsevier Inc
Idioma: Inglês

Links

Voltar para lista de resultados

Anterior Resultado 2 Avançar Ir para próxima página

Realização: Logos de Redes Sociais:

Predicting long-term mortality in older patients after non–ST-segment elevation myocardial infarction: The CRUSADE long-term mortality model and risk score

Roe, Matthew T., MD, MHS ; Chen, Anita Y., MS ; Thomas, Laine, PhD ; Wang, Tracy Y., MD, MHS ; Alexander, Karen P., MD ; Hammill, Bradley G., MS ; Gibler, W. Brian, MD ; Ohman, E. Magnus, MD ; Peterson, Eric D., MD, MPH

New York, NY: Elsevier Inc

Buscando em bases de dados remotas. Favor aguardar.