Sex-Based Differences in Presentation, Treatment, and Complications Among Older Adults Hospitalized for Acute Myocardial Infarction: The SILVER-AMI Study.

BACKGROUND: Studies of sex-based differences in older adults with acute myocardial infarction (AMI) have yielded mixed results. We, therefore, sought to evaluate sex-based differences in presentation characteristics, treatments, functional impairments, and in-hospital complications in a large, well-characterized population of older adults (≥75 years) hospitalized with AMI. METHODS AND RESULTS: We analyzed data from participants enrolled in SILVER-AMI (Comprehensive Evaluation of Risk Factors in Older Patients With Acute Myocardial Infarction)-a prospective observational study consisting of 3041 older patients (44% women) hospitalized for AMI. Participants were stratified by AMI subtype (ST-segment-elevation myocardial infarction [STEMI] and non-STEMI [NSTEMI]) and subsequently evaluated for sex-based differences in clinical presentation, functional impairments, management, and in-hospital complications. Among the study sample, women were slightly older than men (NSTEMI: 82.1 versus 81.3, P<0.001; STEMI: 82.2 versus 80.6, P<0.001) and had lower rates of prior coronary disease. Women in the NSTEMI subgroup presented less frequently with chest pain as their primary symptom. Age-associated functional impairments at baseline were more common in women in both AMI subgroups (cognitive impairment, NSTEMI: 20.6% versus 14.3%, P<0.001; STEMI: 20.6% versus 12.4%, P=0.001; activities of daily living disability, NSTEMI: 19.7% versus 11.4%, P<0.001; STEMI: 14.8% versus 6.4%, P<0.001; impaired functional mobility, NSTEMI: 44.5% versus 30.7%, P<0.001; STEMI: 39.4% versus 22.0%, P<0.001). Women with AMI had lower rates of obstructive coronary disease (NSTEMI: P<0.001; STEMI: P=0.02), driven by lower rates of 3-vessel or left main disease than men (STEMI: 38.8% versus 58.7%; STEMI: 24.3% versus 32.1%), and underwent revascularization less commonly (NSTEMI: 55.6% versus 63.6%, P<0.001; STEMI: 87.3% versus 93.3%, P=0.01). Rates of bleeding were higher among women with STEMI (26.2% versus 15.6%, P<0.001) but not NSTEMI (17.8% versus 15.7%, P=0.21). Women had a higher frequency of bleeding following percutaneous coronary intervention with both NSTEMI (11.0% versus 7.8%, P=0.04) and STEMI (22.6% versus 14.8%, P=0.02). CONCLUSIONS: Among older adults hospitalized with AMI, women had a higher prevalence of age-related functional impairments and, among the STEMI subgroup, a higher incidence of overall bleeding events, which was driven by higher rates of nonmajor bleeding events and bleeding following percutaneous coronary intervention. These differences may have important implications for in-hospital and posthospitalization needs.

Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction.

BACKGROUND: Early readmissions among older adults hospitalized for acute myocardial infarction (AMI) are costly and difficult to predict. Aging-related functional impairments may inform risk prediction but are unavailable in most studies. Our objective was to, therefore, develop and validate an AMI readmission risk model for older patients who considered functional impairments and was suitable for use before hospital discharge. METHODS AND RESULTS: SILVER-AMI (Comprehensive Evaluation of Risk in Older Adults with AMI) is a prospective cohort study of 3006 patients of age ≥75 years hospitalized with AMI at 94 US hospitals. Participants underwent in-hospital assessment of functional impairments including cognition, vision, hearing, and mobility. Other variables plausibly associated with readmissions were also collected. The outcome was all-cause readmission at 30 days. We used backward selection and Bayesian model averaging to derive (N=2004) a risk model that was subsequently validated (N=1002). Mean age was 81.5 years, 44.4% were women, and 10.5% were nonwhite. Within 30 days, 547 participants (18.2%) were readmitted. Readmitted participants were older, had more comorbidities, and had a higher prevalence of functional impairments, including activities of daily living disability (17.0% versus 13.0%; P=0.013) and impaired functional mobility (72.5% versus 53.6%; P<0.001). The final risk model included 8 variables: functional mobility, ejection fraction, chronic obstructive pulmonary disease, arrhythmia, acute kidney injury, first diastolic blood pressure, P2Y12 inhibitor use, and general health status. Functional mobility was the only functional impairment variable retained but was the strongest predictor. The model was well calibrated (Hosmer-Lemeshow P value >0.05) with moderate discrimination (C statistics: 0.65 derivation cohort and 0.63 validation cohort). Functional mobility significantly improved performance of the risk model (net reclassification improvement index =20%; P<0.001). CONCLUSIONS: In our final risk model, functional mobility, previously not included in readmission risk models, was the strongest predictor of 30-day readmission among older adults after AMI. The modest discrimination indicates that much of the variability in readmission risk among this population remains unexplained by patient-level factors. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. Unique identifier: NCT01755052.

Design and rationale of the comprehensive evaluation of risk factors in older patients with AMI (SILVER-AMI) study.

BACKGROUND: While older adults (age 75 and over) represent a large and growing proportion of patients with acute myocardial infarction (AMI), they have traditionally been under-represented in cardiovascular studies. Although chronological age confers an increased risk for adverse outcomes, our current understanding of the heterogeneity of this risk is limited. The Comprehensive Evaluation of Risk Factors in Older Patients with AMI (SILVER-AMI) study was designed to address this gap in knowledge by evaluating risk factors (including geriatric impairments, such as muscle weakness and cognitive impairments) for hospital readmission, mortality, and health status decline among older adults hospitalized for AMI. METHODS/DESIGN: SILVER-AMI is a prospective cohort study that is enrolling 3000 older adults hospitalized for AMI from a recruitment network of approximately 70 community and academic hospitals across the United States. Participants undergo a comprehensive in-hospital assessment that includes clinical characteristics, geriatric impairments, and health status measures. Detailed medical record abstraction complements the assessment with diagnostic study results, in-hospital procedures, and medications. Participants are subsequently followed for six months to determine hospital readmission, mortality, and health status decline. Multivariable regression will be used to develop risk models for these three outcomes. DISCUSSION: SILVER-AMI will fill critical gaps in our understanding of AMI in older patients. By incorporating geriatric impairments into our understanding of post-AMI outcomes, we aim to create a more personalized assessment of risk and identify potential targets for interventions. TRIAL REGISTRATION NUMBER: NCT01755052 .

Clinical assessment identifies hemodynamic profiles that predict outcomes in patients admitted with heart failure.

OBJECTIVES: This study was designed to determine the relevance of a proposed classification for advanced heart failure (HF). Profiles based on clinical assessment of congestion and perfusion at the time of hospitalization were compared with subsequent outcomes. BACKGROUND: Optimal design of therapy and trials for advanced HF remains limited by the lack of simple clinical profiles to characterize patients. METHODS: Prospective analysis was performed for 452 patients admitted to the cardiomyopathy service at the Brigham and Women's Hospital with a diagnosis of HF. Patients were classified by clinical assessment into four profiles: profile A, patients with no evidence of congestion or hypoperfusion (dry-warm, n = 123); profile B, congestion with adequate perfusion (wet-warm, n = 222); profile C, congestion and hypoperfusion (wet-cold, n = 91); and profile L, hypoperfusion without congestion (dry-cold, n = 16). Other standard predictors of outcome were included and patients were followed for the end points of death (n = 117) and death or urgent transplantation (n = 137) at one year. RESULTS: Survival analysis showed that clinical profiles predict outcomes in HF. Profiles B and C increase the risk of death plus urgent transplantation by univariate (hazard ratio [HR] 1.83, p = 0.02) and multivariate analyses (HR 2.48, p = 0.003). Moreover, clinical profiles add prognostic information even when limited to patients with New York Heart Association (NYHA) class III/IV symptoms (profile B: HR 2.23, p = 0.026; profile C: HR 2.73, p = 0.009). CONCLUSIONS: Simple clinical assessment can be used to define profiles in patients admitted with HF. These profiles predict outcomes and may be used to guide therapy and identify populations for future investigation.