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Importance: Older adults who are hospitalized for COVID-19 are at risk of delirium. Little is known about the association of in-hospital delirium with functional and cognitive outcomes among older adults who have survived a COVID-19 hospitalization., Objective: To evaluate the association of delirium with functional disability and cognitive impairment over the 6 months after discharge among older adults hospitalized with COVID-19., Design, Setting, and Participants: This prospective cohort study involved patients aged 60 years or older who were hospitalized with COVID-19 between June 18, 2020, and June 30, 2021, at 5 hospitals in a major tertiary care system in the US. Follow-up occurred through January 11, 2022. Data analysis was performed from December 2022 to February 2024., Exposure: Delirium during the COVID-19 hospitalization was assessed using the Chart-based Delirium Identification Instrument (CHART-DEL) and CHART-DEL-ICU., Main Outcomes and Measures: Primary outcomes were disability in 15 functional activities and the presence of cognitive impairment (defined as Montreal Cognitive Assessment score <22) at 1, 3, and 6 months after hospital discharge. The associations of in-hospital delirium with functional disability and cognitive impairment were evaluated using zero-inflated negative binominal and logistic regression models, respectively, with adjustment for age, month of follow-up, and baseline (before COVID-19) measures of the respective outcome., Results: The cohort included 311 older adults (mean [SD] age, 71.3 [8.5] years; 163 female [52.4%]) who survived COVID-19 hospitalization. In the functional disability sample of 311 participants, 49 participants (15.8%) experienced in-hospital delirium. In the cognition sample of 271 participants, 31 (11.4%) experienced in-hospital delirium. In-hospital delirium was associated with both increased functional disability (rate ratio, 1.32; 95% CI, 1.05-1.66) and increased cognitive impairment (odds ratio, 2.48; 95% CI, 1.38-4.82) over the 6 months after discharge from the COVID-19 hospitalization., Conclusions and Relevance: In this cohort study of 311 hospitalized older adults with COVID-19, in-hospital delirium was associated with increased functional disability and cognitive impairment over the 6 months following discharge. Older survivors of a COVID-19 hospitalization who experience in-hospital delirium should be assessed for disability and cognitive impairment during postdischarge follow-up.

Background: Despite significant support system disruptions during the coronavirus 2019 (COVID-19) pandemic, little is known about the relationship between social support and symptom burden among older adults following COVID-19 hospitalization., Methods: From a prospective cohort of 341 community-living persons aged ≥60 years hospitalized with COVID-19 between June 2020 and June 2021 who underwent follow-up at 1, 3, and 6 months after discharge, we identified 311 participants with ≥1 follow-up assessment. Social support prehospitalization was ascertained using a 5-item version of the Medical Outcomes Study Social Support Survey (range, 5-25), with low social support defined as a score ≤15. At hospitalization and each follow-up assessment, 14 physical symptoms were assessed using a modified Edmonton Symptom Assessment System inclusive of COVID-19-relevant symptoms. Mental health symptoms were assessed using Patient Health Questionnaire-4. Longitudinal associations between social support and physical and mental health symptoms, respectively, were evaluated through multivariable regression., Results: Participants' mean age was 71.3 years (standard deviation, 8.5), 52.4% were female, and 34.2% were of Black race or Hispanic ethnicity. 11.8% reported low social support. Over the 6-month follow-up period, low social support was independently associated with higher burden of physical symptoms (adjusted rate ratio [aRR], 1.26; 95% confidence interval [CI], 1.05-1.52), but not mental health symptoms (aRR, 1.14; 95% CI, 0.85-1.53)., Conclusions: Low social support is associated with greater physical, but not mental health, symptom burden among older survivors of COVID-19 hospitalization. Our findings suggest a potential need for social support screening and interventions to improve post-COVID-19 symptom management in this vulnerable group., (© The Author(s) 2024. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Background: Most older adults hospitalized with COVID-19 survive their acute illness. The impact of COVID-19 hospitalization on patient-centered outcomes, including physical function, cognition, and symptoms, is not well understood. To address this knowledge gap, we collected longitudinal data about these issues from a cohort of older survivors of COVID-19 hospitalization., Methods: We undertook a prospective study of community-living persons age ≥ 60 years who were hospitalized with COVID-19 from June 2020-June 2021. A baseline interview was conducted during or up to 2 weeks after hospitalization. Follow-up interviews occurred at one, three, and six months post-discharge. Participants completed comprehensive assessments of physical and cognitive function, symptoms, and psychosocial factors. An abbreviated assessment could be performed with a proxy. Additional information was collected from the electronic health record., Results: Among 341 participants, the mean age was 71.4 (SD 8.4) years, 51% were women, and 37% were of Black race or Hispanic ethnicity. Median length of hospitalization was 8 (IQR 6-12) days. All but 4% of participants required supplemental oxygen, and 20% required care in an intensive care unit or stepdown unit. At enrollment, nearly half (47%) reported at least one preexisting disability in physical function, 45% demonstrated cognitive impairment, and 67% were pre-frail or frail. Participants reported a mean of 9 of 14 (SD 3) COVID-19-related symptoms. At the six-month follow-up interview, more than a third of participants experienced a decline from their pre-hospitalization function, nearly 20% had cognitive impairment, and burdensome symptoms remained highly prevalent., Conclusions: We enrolled a diverse cohort of older adults hospitalized with COVID-19 and followed them after discharge. Functional decline was common, and there were high rates of persistent cognitive impairment and symptoms. Future analyses of these data will advance our understanding of patient-centered outcomes among older COVID-19 survivors., (© 2022 The American Geriatrics Society.)

Pragmatic clinical trials (PCTs) are well-suited to address unmet healthcare needs, such as those arising from the dual public health crises of chronic pain and opioid misuse, recently exacerbated by the COVID-19 pandemic. These overlapping epidemics have complex, multifactorial etiologies, and PCTs can be used to investigate the effectiveness of integrated therapies that are currently available but underused. Yet individual pragmatic studies can be limited in their reach because of existing structural and cultural barriers to dissemination and implementation. The National Institutes of Health, Department of Defense, and Department of Veterans Affairs formed an interagency research partnership, the Pain Management Collaboratory. The partnership combines pragmatic trial design with collaborative tools and relationship building within a large network to advance the science and impact of nonpharmacological approaches and integrated models of care for the management of pain and common co-occurring conditions. The Pain Management Collaboratory team supports 11 large-scale, multisite PCTs in veteran and military health systems with a focus on team science with the shared aim that the "whole is greater than the sum of the parts." Herein, we describe this integrated approach and lessons learned, including incentivizing all parties; proactively offering frequent opportunities for problem-solving; engaging stakeholders during all stages of research; and navigating competing research priorities. We also articulate several specific strategies and their practical implications for advancing pain management in active clinical, "real-world," settings., (© The Association of Military Surgeons of the United States 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Purpose: Cardiac rehabilitation (CR) is a key aspect of secondary prevention following acute myocardial infarction (AMI). While there is growing evidence of unique benefits of CR in older adults, it remains underutilized. We aimed to examine specific demographic, clinical, and functional factors associated with utilization of CR among older adults hospitalized with AMI., Methods: Our project used data from the SILVER-AMI study, a nationwide prospective cohort study of patients age ≥75 yr hospitalized with AMI and followed them up for 6 mo after discharge. Extensive baseline data were collected on demographics, clinical and psychosocial factors, and functional and sensory impairments. The utilization of CR was collected by a survey at 6 mo. Backward selection was employed in a multivariable-adjusted logistic regression model to identify independent predictors of CR use., Results: Of the 2003 participants included in this analysis, 779 (39%) reported participating in CR within 6 mo of discharge. Older age, longer length of hospitalization, having ≤12 yr of education, visual impairment, cognitive impairment, and living alone were associated with decreased likelihood of CR participation; receipt of diagnostic and interventional procedures (ie, cardiac catheterization, percutaneous coronary intervention, and coronary artery bypass graft) was associated with increased likelihood of CR participation., Conclusions: Demographic and clinical factors, as well as select functional and sensory impairments common in aging, were associated with CR participation at 6 mo post-discharge in older AMI patients. These results highlight opportunities to increase CR usage among older adults and identify those at risk for not participating., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Background: After hospitalization for acute myocardial infarction (AMI), older adults may be at increased risk for falls due to deconditioning, new medications, and worsening health status. Our primary objective was to identify risk factors for falls after AMI hospitalization among adults over age 75., Methods: We used data from the Comprehensive Evaluation of Risk Factors in Older Patients with AMI (SILVER-AMI) study, a prospective cohort study of 3041 adults age 75 and older hospitalized with AMI at 94 community and academic medical centers across the United States. In-person interviews and physical assessments, as well as medical record review, were performed to collect demographic, clinical, functional, and psychosocial data. Falls were self-reported in telephone interviews and medically serious falls (those associated with emergency department use or hospitalization) were determined by medical record adjudication. Backward selection was used to identify predictors of fall risk in logistic regression analysis., Results: A total of 554 (21.6%) participants reported a fall and 191 (6.4%) had a medically serious fall within 6 months of discharge. Factors independently associated with self-reported falls included impaired mobility, prior fall history, longer hospital stay, visual impairment, and weak grip. Factors independently associated with medically serious falls included older age, polypharmacy, impaired functional mobility, prior fall history, and living alone., Conclusions: Among older patients hospitalized for AMI, falls are common in the 6 months following discharge and associated with demographic, functional, and clinical factors that are readily identifiable. Fall risk should be considered in post-AMI clinical decision-making and interventions to prevent falls should be evaluated., (© 2021 The American Geriatrics Society.)

Characterizing the impacts of disruption attributable to the COVID-19 pandemic on clinical research is important, especially in pain research where psychological, social, and economic stressors attributable to the COVID-19 pandemic may greatly impact treatment effects. The National Institutes of Health - Department of Defense - Department of Veterans Affairs Pain Management Collaboratory (PMC) is a collective effort supporting 11 pragmatic clinical trials studying nonpharmacological approaches and innovative integrated care models for pain management in veteran and military health systems. The PMC rapidly developed a brief pandemic impacts measure for use across its pragmatic trials studying pain while remaining broadly applicable to other areas of clinical research. Through open discussion and consensus building by the PMC's Phenotypes and Outcomes Work Group, the PMC Coronavirus Pandemic (COVID-19) Measure was iteratively developed. The measure assesses the following domains (one item/domain): access to healthcare, social support, finances, ability to meet basic needs, and mental or emotional health. Two additional items assess infection status (personal and household) and hospitalization. The measure uses structured responses with a three-point scale for COVID-19 infection status and four-point ordinal rank response for all other domains. We recommend individualized adaptation as appropriate by clinical research teams using this measure to survey the effects of the COVID-19 pandemic on study participants. This can also help maintain utility of the measure beyond the COVID-19 pandemic to characterize impacts during future public health emergencies that may require mitigation strategies such as periods of quarantine and isolation., (Published by Elsevier Inc.)

Background Readmission over the first year following hospitalization for acute myocardial infarction (AMI) is common among younger adults (≤55 years). Our aim was to develop/validate a risk prediction model that considered a broad range of factors for readmission within 1 year. Methods and Results We used data from the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study, which enrolled young adults aged 18 to 55 years hospitalized with AMI across 103 US hospitals (N=2979). The primary outcome was ≥1 all-cause readmissions within 1 year of hospital discharge. Bayesian model averaging was used to select the risk model. The mean age of participants was 47.1 years, 67.4% were women, and 23.2% were Black. Within 1 year of discharge for AMI, 905 (30.4%) of participants were readmitted and were more likely to be female, Black, and nonmarried. The final risk model consisted of 10 predictors: depressive symptoms (odds ratio [OR], 1.03; 95% CI, 1.01-1.05), better physical health (OR, 0.98; 95% CI, 0.97-0.99), in-hospital complication of heart failure (OR, 1.44; 95% CI, 0.99-2.08), chronic obstructive pulmomary disease (OR, 1.29; 95% CI, 0.96-1.74), diabetes mellitus (OR, 1.23; 95% CI, 1.00-1.52), female sex (OR, 1.31; 95% CI, 1.05-1.65), low income (OR, 1.13; 95% CI, 0.89-1.42), prior AMI (OR, 1.47; 95% CI, 1.15-1.87), in-hospital length of stay (OR, 1.13; 95% CI, 1.04-1.23), and being employed (OR, 0.88; 95% CI, 0.69-1.12). The model had excellent calibration and modest discrimination (C statistic=0.67 in development/validation cohorts). Conclusions Women and those with a prior AMI, increased depressive symptoms, longer inpatient length of stay and diabetes may be more likely to be readmitted. Notably, several predictors of readmission were psychosocial characteristics rather than markers of AMI severity. This finding may inform the development of interventions to reduce readmissions in young patients with AMI.

Physical activity and social support are associated with better outcomes after surviving acute myocardial infarction (AMI), and greater walkability has been associated with activity and support. We used data from the SILVER-AMI study (November 2014-June 2017), a longitudinal cohort of community-living adults ≥ 75 years hospitalized for AMI to assess associations of neighborhood walkability with health outcomes, and to assess whether physical activity and social support mediate this relationship, if it exists. We included data from 1345 participants who were not bedbound, were discharged home, and for whom we successfully linked walkability scores (from Walk Score®) for their home census block. Our primary outcome was hospital-free survival time (HFST) at six months after discharge; secondary outcomes included physical and mental health at six months, assessed using SF-12. Physical activity and social support were measured at baseline. Covariates included cognition, functioning, comorbidities, participation in rehabilitation or physical therapy, and demographics. We employed survival analysis to examine associations between walkability and HFST, before and after adjustment for covariates; we repeated analyses using linear regression with physical and mental health as outcomes. In adjusted models, walkability was not associated with physical health (ß = 0.010; 95% CI: -0.027, 0.047), mental health (ß = -0.08; 95% CI: -0.175, -0.013), or HFST (ß = 0.008; 95% CI: -0.023, 0.009). Social support was associated with mental health in adjusted models. Neighborhood walkability was not predictive of outcomes among older adults with existing coronary disease, suggesting that among older adults, mobility limitations may supercede neighborhood walkability., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Drs. Roy and Riley report personal fees from Heluna Health, personal fees from the Institute for Healthcare Improvement, and grant funding from the Robert Wood Johnson Foundation and the Institute for Healthcare Improvement, outside the submitted work. Dr. Roy also reports grant funding from the National Heart, Lung, and Blood Institute outside the submitted work. Dr. Krumholz reports personal fees from UnitedHealth, personal fees from IBM Watson Health, personal fees from Element Science, personal fees from Aetna, personal fees from Facebook, personal fees from Siegfried & Jensen Law Firm, personal fees from Arnold & Porter Law Firm, personal fees from Ben C. Martin Law Firm, personal fees from National Center for Cardiovascular Diseases, Beijing, ownership of HugoHealth, ownership of Refactor Health, contracts from the Centers for Medicare & Medicaid Services, grants from Medtronic and the Food and Drug Administration, grants from Medtronic and Johnson and Johnson, grants from Shenzhen Center for Health Information, outside the submitted work. The other authors report no competing interests., (© 2021 The Authors.)

Introduction: Within the population of military service members and veterans, chronic pain is highly prevalent, often complex, and frequently related to traumatic experiences that are more likely to occur to members of this demographic, such as individuals with traumatic brain injury or limb loss. In September 2017, the National Institutes of Health (NIH), Department of Defense (DOD), and Department of Veterans Affairs (VA) Pain Management Collaboratory (PMC) was formed as a significant and innovative inter-government agency partnership to support a multicomponent research initiative focusing on nonpharmacological approaches for pain management addressing the needs of service members, their dependents, and veterans., Methods: A Pain Management Collaboratory Coordinating Center (PMC3) was also established to facilitate collective learning across 11 individually funded pragmatic clinical trials (PCTs) designed to optimize the impact of the PMC as an integrated whole. Although the DOD and VA health care systems are ideal sites for the enactment of PCTs, executing these trials within the local context of DOD military treatment facilities (MTFs) can present unique challenges. The Military Treatment Facility Engagement Committee (MTFEC) was created to support the efforts of the PMC3 in its role as a national resource for development and refinement of innovative tools, best practices, and other resources in the conduct of high impact PCTs., Results: The MTFEC is composed of experts from each service who bring experiences in executing clinical pain management trials that can enhance the planning and execution of the PCTs. It provides expertise and leadership in the execution of research studies at within MTFs and within the DOD health care system, with guidance from PMC3 Directors and in collaboration with NIH, DOD, and VA program and scientific officers., Discussion/conclusion: Considering the importance of enacting large-scale, pragmatic studies to implement effective strategies in clinical practice for chronic pain management, the MTFEC has begun to actualize its purpose by identifying potential barriers and challenges to study implementation and exploring how the PMC can support and aid in the execution of PCTs by applying similar approaches to stakeholder and subject matter engagement for their research., (© The Association of Military Surgeons of the United States 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Objective: To develop a 180-day readmission risk model for older adults with acute myocardial infarction (AMI) that considered a broad range of clinical, demographic and age-related functional domains., Methods: We used data from ComprehenSIVe Evaluation of Risk in Older Adults with AMI (SILVER-AMI), a prospective cohort study that enrolled participants aged ≥75 years with AMI from 94 US hospitals. Participants underwent an in-hospital assessment of functional impairments, including cognition, vision, hearing and mobility. Clinical variables previously shown to be associated with readmission risk were also evaluated. The outcome was 180-day readmission. From an initial list of 72 variables, we used backward selection and Bayesian model averaging to derive a risk model (N=2004) that was subsequently internally validated (N=1002)., Results: Of the 3006 SILVER-AMI participants discharged alive, mean age was 81.5 years, 44.4% were women and 10.5% were non-white. Within 180 days, 1222 participants (40.7%) were readmitted. The final risk model included 10 variables: history of chronic obstructive pulmonary disease, history of heart failure, initial heart rate, first diastolic blood pressure, ischaemic ECG changes, initial haemoglobin, ejection fraction, length of stay, self-reported health status and functional mobility. Model discrimination was moderate (0.68 derivation cohort, 0.65 validation cohort), with good calibration. The predicted readmission rate (derivation cohort) was 23.0% in the lowest quintile and 65.4% in the highest quintile., Conclusions: Over 40% of participants in our sample experienced hospital readmission within 180 days of AMI. Our final readmission risk model included a broad range of characteristics, including functional mobility and self-reported health status, neither of which have been previously considered in 180-day risk models., Competing Interests: Competing interests: SIC receives funding for her work as a reviewer for the CVS Caremark Clinical Pharmacy Program for the state of Connecticut., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: The Pain Management Collaboratory (PMC) is a multi-site network of pragmatic clinical trials (PCTs) focused on nonpharmacological approaches to pain management, conducted in health care systems of the US Department of Defense (DoD) and Department of Veterans Affairs (VA) and co-funded by the National Institutes of Health (NIH). Concerns about potential research-site overlap prompted the PMC investigator community to consider strategies to avert this problem that could negatively affect recruitment and contaminate interventions and thus pose a threat to trial integrity., Methods: We developed a two-step strategy to identify and remediate research-site overlap by obtaining detailed recruitment plans across all PMC PCTs that addressed eligibility criteria, recruitment methods, trial settings, and timeframes. The first, information-gathering phase consisted of a 2-month period for data collection from PIs, stakeholders, and ClinicalTrials.gov . The second, remediation phase consisted of a series of moderated conference calls over a 1-month time period to develop plans to address overlap. Remediation efforts focused on exclusion criteria and recruitment strategies, and they involved collaboration with sponsors and stakeholder groups such as the Military Treatment Facility Engagement Committee (MTFEC). The MTFEC is comprised of collaborating DoD and university-affiliated PIs, clinicians, and educators devoted to facilitating successful pragmatic trials in DoD settings., Results: Of 61 recruitment sites for the 11 PMC PCTs, 17 (28%) overlapped. Four PCTs had five overlapping Military Treatment Facilities (MTFs), and eight PCTs had 12 overlapping VA Medical Centers (VAMCs). We developed three general strategies to avoid research-site overlap: (i) modify exclusion criteria, (ii) coordinate recruitment efforts, and/or (iii) replace or avoid any overlapping sites. Potential overlap from competing studies outside of the PMC was apparent at 26 sites, but we were not able to confirm them as true conflicts., Conclusion: Proactive strategies can be used to resolve the issue of overlapping research sites in the PMC. These strategies, combined with open and impartial mediation approaches that include researchers, sponsors, and stakeholders, provide lessons learned from this large and complex pragmatic research effort.

Background Functional decline (ie, a decrement in ability to perform everyday activities necessary to live independently) is common after acute myocardial infarction (AMI) and associated with poor long-term outcomes; yet, we do not have a tool to identify older AMI survivors at risk for this important patient-centered outcome. Methods and Results We used data from the prospective SILVER-AMI (Comprehensive Evaluation of Risk Factors in Older Patients With Acute Myocardial Infarction) study of 3041 patients with AMI, aged ≥75 years, recruited from 94 US hospitals. Participants were assessed during hospitalization and at 6 months to collect data on demographics, geriatric impairments, psychosocial factors, and activities of daily living. Clinical variables were abstracted from the medical record. Functional decline was defined as a decrement in ability to independently perform essential activities of daily living (ie, bathing, dressing, transferring, and ambulation) from baseline to 6 months postdischarge. The mean age of the sample was 82±5 years; 57% were men, 90% were White, and 13% reported activity of daily living decline at 6 months postdischarge. The model identified older age, longer hospital stay, mobility impairment during hospitalization, preadmission physical activity, and depression as risk factors for decline. Revascularization during AMI hospitalization and ability to walk a quarter mile before AMI were associated with decreased risk. Model discrimination (c=0.78) and calibration were good. Conclusions We identified a parsimonious model that predicts risk of activity of daily living decline among older patients with AMI. This tool may aid in identifying older patients with AMI who may benefit from restorative therapies to optimize function after AMI.

Older patients presenting with acute myocardial infarction (AMI) often have comorbidities. Our objective was to examine how outcomes differ by cognitive and vision status in older AMI patients. We use data from a prospective cohort study conducted at 94 hospitals in the United States between January 2013 and October 2016 that enrolled men and women aged ≥75 years with AMI. Cognitive impairment (CI) was defined as telephone interview for cognitive status (TICS) score <27; vision impairment (VI) and activities of daily living (ADLs) were assessed by questionnaire. Of 2988 senior AMI patients, 260 (8.7%) had CI but no VI, 858 (28.7%) had VI but no CI, and 251 (8.4%) had both CI/VI. Patients in the VI/CI group were most likely to exhibit geriatric syndromes. More severe VI was associated with lower (worse) scores on the TICS ( β -1.53, 95% confidence interval (CI) -1.87 to -1.18). In adjusted models, compared to participants with neither impairment, participants with VI/CI were more likely to die (hazard ratio 1.61, 95% CI 1.10-2.37) and experience ADL decline (odds ratio 2.11, 95% CI 1.39-3.21) at 180 days. Comorbid CIs and VIs were associated with high rates of death and worsening disability after discharge among seniors hospitalized for AMI. Future research should evaluate protocols to accommodate these impairments during AMI presentations and optimize decision-making and outcomes., Competing Interests: Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2020.)

Background: Older adults with acute myocardial infarction (AMI) have higher prevalence of functional impairments, including deficits in cognition, strength, and sensory domains, than their younger counterparts., Objective: To develop and evaluate the prognostic utility of a risk model for 6-month post-AMI mortality in older adults that incorporates information about functional impairments., Design: Prospective cohort study. (ClinicalTrials.gov: NCT01755052)., Setting: 94 hospitals throughout the United States., Participants: 3006 persons aged 75 years or older who were hospitalized with AMI and discharged alive., Measurements: Functional impairments were assessed during hospitalization via direct measurement (cognition, mobility, muscle strength) or self-report (vision, hearing). Clinical variables associated with mortality in prior risk models were ascertained by chart review. Seventy-two candidate variables were selected for inclusion, and backward selection and Bayesian model averaging were used to derive (n = 2004 participants) and validate (n = 1002 participants) a model for 6-month mortality., Results: Participants' mean age was 81.5 years, 44.4% were women, and 10.5% were nonwhite. There were 266 deaths (8.8%) within 6 months. The final risk model included 15 variables, 4 of which were not included in prior risk models: hearing impairment, mobility impairment, weight loss, and lower patient-reported health status. The model was well calibrated (Hosmer-Lemeshow P > 0.05) and showed good discrimination (area under the curve for the validation cohort = 0.84). Adding functional impairments significantly improved model performance, as evidenced by category-free net reclassification improvement indices of 0.21 (P = 0.008) for hearing impairment and 0.26 (P < 0.001) for mobility impairment., Limitation: The model was not externally validated., Conclusion: A newly developed model for 6-month post-AMI mortality in older adults was well calibrated and had good discriminatory ability. This model may be useful in decision making at hospital discharge., Primary Funding Source: National Heart, Lung, and Blood Institute of the National Institutes of Health.

Background: Among older adults (age ≥75 years) hospitalized for acute myocardial infarction, acute kidney injury after coronary angiography is common. Aging-related conditions may independently predict acute kidney injury, but have not yet been analyzed in large acute myocardial infarction cohorts., Methods: We analyzed data from 2212 participants age ≥75 years in the Comprehensive Evaluation of Risk Factors in Older Patients with Acute Myocardial Infarction (SILVER-AMI) study who underwent coronary angiography. Acute kidney injury was defined using Kidney Disease Improving Global Outcomes (KDIGO) criteria (serum Cr increase ≥0.3 mg/dL from baseline or ≥1.5 times baseline). We analyzed the associations of traditional acute kidney injury risk factors and aging-related conditions (activities of daily living impairment, prior falls, cachexia, low physical activity) with acute kidney injury, and then performed logistic regression to identify independent predictors., Results: Participants' mean age was 81.3 years, 45.2% were female, and 9.5% were nonwhite; 421 (19.0%) experienced acute kidney injury. Comorbid diseases and aging-related conditions were both more common among individuals experiencing acute kidney injury. However, after multivariable adjustment, no aging-related conditions were retained. There were 11 risk factors in the final model; the strongest were heart failure on presentation (odds ratio [OR] 1.91; 95% confidence interval [CI], 1.41-2.59), body mass index [BMI] >30 (vs BMI 18-25: OR 1.75; 95% CI, 1.27-2.42), and nonwhite race (OR 1.65; 95% CI, 1.16-2.33). The final model achieved an area under the receiver operating characteristic curve of 0.72 and was well calibrated (Hosmer-Lemeshow P = .50). Acute kidney injury was independently associated with 6-month mortality (OR 1.98; 95% CI, 1.36-2.88) but not readmission (OR 1.26; 95% CI, 0.98-1.61)., Conclusions: Acute kidney injury is common among older adults with acute myocardial infarction undergoing coronary angiography. Predictors largely mirrored those in previous studies of younger individuals, which suggests that geriatric conditions mediate their influence through other risk factors., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Importance: Health care may be burdensome and of uncertain benefit for older adults with multiple chronic conditions (MCCs). Aligning health care with an individual's health priorities may improve outcomes and reduce burden., Objective: To evaluate whether patient priorities care (PPC) is associated with a perception of more goal-directed and less burdensome care compared with usual care (UC)., Design, Setting, and Participants: Nonrandomized clinical trial with propensity adjustment conducted at 1 PPC and 1 UC site of a Connecticut multisite primary care practice that provides care to almost 15% of the state's residents. Participants included 163 adults aged 65 years or older who had 3 or more chronic conditions cared for by 10 primary care practitioners (PCPs) trained in PPC and 203 similar patients who received UC from 7 PCPs not trained in PPC. Participant enrollment occurred between February 1, 2017, and March 31, 2018; follow-up extended for up to 9 months (ended September 30, 2018)., Interventions: Patient priorities care, an approach to decision-making that includes patients' identifying their health priorities (ie, specific health outcome goals and health care preferences) and clinicians aligning their decision-making to achieve these health priorities., Main Outcomes and Measures: Primary outcomes included change in patients' Older Patient Assessment of Chronic Illness Care (O-PACIC), CollaboRATE, and Treatment Burden Questionnaire (TBQ) scores; electronic health record documentation of decision-making based on patients' health priorities; medications and self-management tasks added or stopped; and diagnostic tests, referrals, and procedures ordered or avoided., Results: Of the 366 patients, 235 (64.2%) were female and 350 (95.6%) were white. Compared with the UC group, the PPC group was older (mean [SD] age, 74.7 [6.6] vs 77.6 [7.6] years) and had lower physical and mental health scores. At follow-up, PPC participants reported a 5-point greater decrease in TBQ score than those who received UC (ß [SE], -5.0 [2.04]; P = .01) using a weighted regression model with inverse probability of PCP assignment weights; no differences were seen in O-PACIC or CollaboRATE scores. Health priorities-based decisions were mentioned in clinical visit notes for 108 of 163 (66.3%) PPC vs 0 of 203 (0%) UC participants. Compared with UC patients, PPC patients were more likely to have medications stopped (weighted comparison, 52.0% vs 33.8%; adjusted odds ratio [AOR], 2.05; 95% CI, 1.43-2.95) and less likely to have self-management tasks (57.5% vs 62.1%; AOR, 0.59; 95% CI, 0.41-0.84) and diagnostic tests (80.8% vs 86.4%; AOR, 0.22; 95% CI, 0.12-0.40) ordered., Conclusions and Relevance: This study's findings suggest that patient priorities care may be associated with reduced treatment burden and unwanted health care. Care aligned with patients' priorities may be feasible and effective for older adults with MCCs., Trial Registration: ClinicalTrials.gov identifier: NCT03600389.

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.

Objectives: Patient Health Priorities Identification (PHPI) is a values-based process in which trained facilitators assist older adults with multiple chronic conditions identify their health priorities. The purpose of this study was to evaluate patients' perceptions of PHPI., Design: Qualitative study using thematic analysis., Setting: In-depth semistructured telephone and in-person interviews., Participants: Twenty-two older adults who participated in the PHPI process., Measurements: Open-ended questions about patient perceptions of the PHPI process, perceived benefits of the process, enablers and barriers to PHPI, and recommendations for process enhancement., Results: Patient interviews ranged from 9 to 63 minutes (median = 20 min; interquartile range = 15-26). The mean age was 80 years (standard deviation = 7.96), 64% were female, and all patients identified themselves as white. Of the sample, 73% reported no caregiver involvement in their healthcare; 36% lived alone. Most patients felt able to complete the PHPI process with ease. Perceived benefits included increased knowledge and insight into disease processes and treatment options, patient activation, and enhanced communication with family and clinicians. Patients identified several factors that were both enablers and barriers to PHPI including facilitator characteristics, patient demographic and clinical characteristics, social support, relationships between the patient and their primary care provider, and the changing health priorities of the patient. Recommendations for process enhancement included more frequent and flexible facilitator contacts, selection of patients for participation based on specific patient characteristics, clarification of process aims and expectations, involvement of family, written reminders of established health priorities, short duration between facilitation and primary care provider follow-up, and the inclusion of health-related tasks in facilitation visits., Conclusions: Patients found the PHPI process valuable in identifying actionable health priorities and healthcare goals leading to enhanced knowledge, activation, and communication regarding their treatment options and preferences. PHPI may be useful for aligning the healthcare that patients receive with their values-based priorities., (© 2019 The American Geriatrics Society.)

Objectives: While patients' health priorities should inform healthcare, strategies for doing so are lacking for patients with multiple conditions. We describe challenges to, and strategies that support, patients' priorities-aligned decision-making., Design: Participant observation qualitative study., Setting: Primary care and cardiology practices in Connecticut., Participants: Ten primary care clinicians, five cardiologists, and the Patient Priorities implementation team (four geriatricians, physician expert in clinician training, behavioral medicine expert). The patients discussed were ≥ 66 years with >3 chronic conditions and ≥10 medications or saw ≥ two specialists., Exposure: Following initial training and experience in providing Patient Priorities Care, the clinicians and Patient Priorities implementation team participated in 21 case-based, group discussions (10 face-to-face;11 telephonic). Using emergent learning (i.e. learning which arises from interactions among the participants), participants discussed challenges, posed solutions, and worked together to determine how to align care options with the health priorities of 35 patients participating in the Patient Priorities Care pilot., Main Outcomes: Challenges to, and strategies for, aligning decision-making with patient's health priorities., Results: Categories of challenges discussed among participants included uncertainty, complexity, and multiplicity of problems and treatments; difficulty switching to patients' priorities as the focus of decision-making; and differing perspectives between patients and clinicians, and among clinicians. Strategies identified to support patient priorities-aligned decision-making included starting with one thing that matters most to each patient; conducting serial trials of starting, stopping, or continuing interventions; focusing on function (i.e. achieving patient's desired activities) rather than eliminating symptoms; basing communications, decision-making, and effectiveness on patients' priorities not solely on diseases; and negotiating shared decisions when there are differences in perspectives., Conclusions: The discrete set of challenges encountered and the implementable strategies identified suggest that patient priorities-aligned decision-making in the care of patients with multiple chronic conditions is feasible, albeit complicated. Findings require replication in additional settings and determination of their effect on patient outcomes., Competing Interests: The authors have declared that no competing interests exist.

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.

We describe a selection process for a multivariable risk prediction model of death within 30 days of hospital discharge in the SILVER-AMI study. This large, multi-site observational study included observational data from 2000 persons 75 years and older hospitalized for acute myocardial infarction (AMI) from 94 community and academic hospitals across the United States and featured a large number of candidate variables from demographic, cardiac, and geriatric domains, whose missing values were multiply imputed prior to model selection. Our objective was to demonstrate that Bayesian Model Averaging (BMA) represents a viable model selection approach in this context. BMA was compared to three other backward-selection approaches: Akaike information criterion, Bayesian information criterion, and traditional p-value. Traditional backward-selection was used to choose 20 candidate variables from the initial, larger pool of five imputations. Models were subsequently chosen from those candidates using the four approaches on each of 10 imputations. With average posterior effect probability ≥ 50% as the selection criterion, BMA chose the most parsimonious model with four variables, with average C statistic of 78%, good calibration, optimism of 1.3%, and heuristic shrinkage of 0.93. These findings illustrate the utility and flexibility of using BMA for selecting a multivariable risk prediction model from many candidates over multiply imputed datasets.

Objectives: To develop a values-based, clinically feasible process to help older adults identify health priorities that can guide clinical decision-making., Design: Prospective development and feasibility study., Setting: Primary care practice in Connecticut., Participants: Older adults with 3 or more conditions or taking 10 or more medications (N=64)., Intervention: The development team of patients, caregivers, and clinicians used a user-centered design framework-ideate → prototype → test →redesign-to develop and refine the value-based patient priorities care process and medical record template with trained clinician facilitators., Measurements: We used descriptive statistics of quantitative measures (percentage accepted invitation and completed template, duration of process) and qualitative analysis of barriers and enablers (challenges and solutions identified, facilitator perceptions)., Results: We developed and refined a process for identifying patient health priorities that was typically completed in 35 to 45 minutes over 2 sessions; 64 patients completed the process. Qualitative analyses were used to elucidate the characteristics and training needed for the patient priorities facilitators, as well as perceived benefits and challenges of the process. Refinements based on our experience and feedback include streamlining the process for greater feasibility, balancing fidelity to the process while customizing to individuals, encouraging patients to share their priorities with their clinicians, and simplifying the template transmitted to clinicians., Conclusion: Trained facilitators conducted this process in a busy primary care practice, suggesting that patient priorities identification is feasible and acceptable, although testing in additional settings is necessary. We hope to show that clinicians can align care with patients' health priorities., (© 2018, Copyright the Author Journal compilation © 2018, The American Geriatrics Society.)

Older adults with multiple chronic conditions (MCCs) receive care that is fragmented and burdensome, lacks evidence, and most importantly is not focused on what matters most to them. An implementation feasibility study of Patient Priorities Care (PPC), a new approach to care that is based on health outcome goals and healthcare preferences, was conducted. This study took place at 1 primary care and 1 cardiology practice in Connecticut and involved 9 primary care providers (PCPs), 5 cardiologists, and 119 older adults with MCCs. PPC was implemented using methods based on a practice change framework and continuous plan-do-study-act (PDSA) cycles. Core elements included leadership support, clinical champions, priorities facilitators, training, electronic health record (EHR) support, workflow development and continuous modification, and collaborative learning. PPC processes for clinic workflow and decision-making were developed, and clinicians were trained. After 10 months, 119 older adults enrolled and had priorities identified; 92 (77%) returned to their PCP after priorities identification. In 56 (46%) of these visits, clinicians documented patient priorities discussions. Workflow challenges identified and solved included patient enrollment lags, EHR documentation of priorities discussions, and interprofessional communication. Time for clinicians to provide PPC remains a challenge, as does decision-making, including clinicians' perceptions that they are already doing so; clinicians' concerns about guidelines, metrics, and unrealistic priorities; and differences between PCPs and patients and between PCPs and cardiologists about treatment decisions. PDSA cycles and continuing collaborative learning with national experts and peers are taking place to address workflow and clinical decision-making challenges. Translating disease-based to priorities-aligned decision-making appears challenging but feasible to implement in a clinical setting., (© 2018, Copyright the Authors Journal compilation © 2018, The American Geriatrics Society.)

Background: We compared the clinical characteristics and outcomes of young patients with myocardial infarction with nonobstructive coronary arteries (MINOCA) versus obstructive disease (myocardial infarction due to coronary artery disease [MI-CAD]) and among patients with MINOCA by sex and subtype., Methods and Results: Between 2008 and 2012, VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) prospectively enrolled acute myocardial infarction patients aged 18 to 55 years in 103 hospitals at a 2:1 ratio of women to men. Using an angiographically driven taxonomy, we defined patients as having MI-CAD if there was revascularization or plaque ≥50% and as having MINOCA if there was <50% obstruction or a nonplaque mechanism. Patients who did not have an angiogram or who received thrombolytics before an angiogram were excluded. Outcomes included 1- and 12-month mortality and functional (Seattle Angina Questionnaire [SAQ]) and psychosocial status. Of 2690 patients undergoing angiography, 2374 (88.4%) had MI-CAD, 299 (11.1%) had MINOCA, and 17 (0.6%) remained unclassified. Women had 5 times higher odds of having MINOCA than men (14.9% versus 3.5%; odds ratio: 4.84; 95% confidence interval, 3.29-7.13). MINOCA patients were more likely to be without traditional cardiac risk factors (8.7% versus 1.3%; P <0.001) but more predisposed to hypercoaguable states than MI-CAD patients (3.0% versus 1.3%; P =0.036). Women with MI-CAD were more likely than those with MINOCA to be menopausal (55.2% versus 41.2%; P <0.001) or to have a history of gestational diabetes mellitus (16.8% versus 11.0%; P =0.028). The MINOCA mechanisms varied: a nonplaque mechanism was identified for 75 patients (25.1%), and their clinical profiles and management also varied. One- and 12-month mortality with MINOCA and MI-CAD was similar (1-month: 1.1% and 1.7% [ P =0.43]; 12-month: 0.6% and 2.3% [ P =0.68], respectively), as was adjusted 12-month SAQ quality of life (76.5 versus 73.5, respectively; P =0.06)., Conclusions: Young patients with MINOCA were more likely women, had a heterogeneous mechanistic profile, and had clinical outcomes that were comparable to those of MI-CAD patients., Clinical Trial Registration: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00597922., (© 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.)

Background: Young women with ST-segment-elevation myocardial infarction experience reperfusion delays more frequently than men. Our aim was to determine the electrocardiographic correlates of delay in reperfusion in young patients with ST-segment-elevation myocardial infarction., Methods and Results: We examined sex differences in initial electrocardiographic characteristics among 1359 patients with ST-segment-elevation myocardial infarction in a prospective, observational, cohort study (2008-2012) of 3501 patients with acute myocardial infarction, 18 to 55 years of age, as part of the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study at 103 US and 24 Spanish hospitals enrolling in a 2:1 ratio for women/men. We created a multivariable logistic regression model to assess the relationship between reperfusion delay (door-to-balloon time >90 or >120 minutes for transfer or door-to-needle time >30 minutes) and electrocardiographic characteristics, adjusting for sex, sociodemographic characteristics, and clinical characteristics at presentation. In our study (834 women and 525 men), women were more likely to exceed reperfusion time guidelines than men (42.4% versus 31.5%; P <0.01). In multivariable analyses, female sex persisted as an important factor in exceeding reperfusion guidelines after adjusting for electrocardiographic characteristics (odds ratio, 1.57; 95% CI, 1.15-2.15). Positive voltage criteria for left ventricular hypertrophy and absence of a prehospital ECG were positive predictors of reperfusion delay; and ST elevation in lateral leads was an inverse predictor of reperfusion delay., Conclusions: Sex disparities in timeliness to reperfusion in young patients with ST-segment-elevation myocardial infarction persisted, despite adjusting for initial electrocardiographic characteristics. Left ventricular hypertrophy by voltage criteria and absence of prehospital ECG are strongly positively correlated and ST elevation in lateral leads is negatively correlated with reperfusion delay., (© 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.)

Young women with acute myocardial infarction (AMI) have a worse prognosis than their male counterparts. We searched for differences in the electrocardiographic presentation of men and women in a large, contemporary registry of young adults with AMI that could help explain gender differences in outcomes. The qualifying electrocardiogram was blindly assessed by a central core lab in 3,354 patients (67% women) aged 18 to 55 years included in the Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients study. Compared with men, women did not have a different frequency of sinus rhythm, and they had shorter PR and QRS intervals and longer QTc intervals. Intraventricular conduction disturbances were not different among genders. Notably, women were more likely than men to have abnormal Q waves in anterior leads and a lower frequency of Q waves in other territories. ST-segment elevation myocardial infarction (STEMI) diagnosis was less frequent in women than in men (44.6% vs 55.1%, p < 0.001). Among patients with STEMI, women had less magnitude and extent of ST-segment elevation than men. In patients with non-STEMI, the frequency, magnitude, and extent of ST-segment depression were not different among genders, but women had anterior ST-segment depression less frequently and anterior negative T waves more frequently compared with men. These differences remained statistically significant after adjusting for baseline characteristics. In conclusion, there are significant gender differences in the electrocardiographic presentation of AMI among young patients. Further studies are warranted to evaluate their impact on gender-related differences in the management and outcomes of AMI., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Background/objectives: Timely administration of antiischemic therapies improves outcomes in individuals with acute myocardial infarction (AMI). Prior literature on delays in AMI care has largely focused on in-hospital delay ("door to balloon" time). Our objective was to identify factors associated with prehospital delay in a contemporary national cohort of older adults with AMI., Design: Cross-sectional analysis of data from the ComprehenSIVe Evaluation of Risk Factors in Older Patients with Acute Myocardial Infarction (SILVER-AMI) study, an observational study of older adults hospitalized for AMI., Setting: U.S. academic and community hospitals (N = 94)., Participants: Individuals aged 75 and older hospitalized for AMI (N = 2,500)., Measurements: Prehospital delay was defined as symptom duration of 6 hours or longer before hospital presentation and was obtained according to participant or caregiver report during AMI hospitalization. Potential predictors of delay from demographic, clinical presentation, comorbid conditions, function, and social support domains were obtained through in-person assessment during the index hospitalization and medical record abstraction., Results: Nonwhite race (adjusted odds ratio (aOR) = 1.54, P = .002), atypical symptoms (aOR = 1.41, P = .001), and heart failure (HF) (aOR = 1.35, P = .006 for HF) were significantly associated with delay., Conclusion: In contrast with younger AMI populations, female sex and diabetes mellitus were not associated with delay in this older cohort, but factors from other domains (nonwhite race, atypical symptoms, and HF) were significantly associated with delay. These results can be used to customize future public health efforts to encourage early presentation for older adults with AMI., (© 2017, Copyright the Authors Journal compilation © 2017, The American Geriatrics Society.)

Aims: Young women with acute myocardial infarction (AMI) have a higher risk of adverse outcomes than men. However, it is unclear how young women with AMI are different from young men across a spectrum of characteristics. We sought to compare young women and men at the time of AMI on six domains of demographic and clinical factors in order to determine whether they have distinct profiles., Methods and Results: Using data from Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO), a prospective cohort study of women and men aged ⩽55 years hospitalized for AMI ( n = 3501) in the United States and Spain, we evaluated sex differences in demographics, healthcare access, cardiovascular risk and psychosocial factors, symptoms and pre-hospital delay, clinical presentation, and hospital management for AMI. The study sample included 2349 (67%) women and 1152 (33%) men with a mean age of 47 years. Young women with AMI had higher rates of cardiovascular risk factors and comorbidities than men, including diabetes, congestive heart failure, chronic obstructive pulmonary disease, renal failure, and morbid obesity. They also exhibited higher levels of depression and stress, poorer physical and mental health status, and lower quality of life at baseline. Women had more delays in presentation and presented with higher clinical risk scores on average than men; however, men presented with higher levels of cardiac biomarkers and more classic electrocardiogram findings. Women were less likely to undergo revascularization procedures during hospitalization, and women with ST segment elevation myocardial infarction were less likely to receive timely primary reperfusion., Conclusions: Young women with AMI represent a distinct, higher-risk population that is different from young men.

Background: Young women (≤55 years of age) with acute myocardial infarction (AMI) have higher mortality risk than similarly aged men. Elevated inflammatory markers are associated with an increased risk of cardiovascular outcomes after AMI, but little is known about whether young women have higher inflammatory levels after AMI compared with young men., Methods and Results: We assessed sex differences in post-AMI inflammatory markers and whether such differences account for sex differences in 12-month health status, using data from 2219 adults with AMI, 18 to 55 years of age, in the United States. Inflammatory markers including high-sensitivity C-reactive protein (hsCRP) and lipoprotein-associated phospholipase A2 were measured 1 month after AMI. Overall, women had higher levels of hsCRP and lipoprotein-associated phospholipase A2 after AMI compared with men, and this remained statistically significant after multivariable adjustment. Regression analyses showed that elevated 1-month hsCRP was associated with poor health status (symptom, function, and quality of life) at 12 months. However, the association between hsCRP and health status became nonsignificant after adjustment for sociodemographics, comorbidities, and treatment factors. Half of these patients had residual inflammatory risk (hsCRP >3 mg/L) compared with a third who had residual cholesterol risk (Low-density lipoprotein cholesterol >100 mg/dL)., Conclusions: Young women with AMI had higher inflammatory levels compared with young men. Elevated 1-month hsCRP was associated with poor health status at 12 months after AMI, but this was attenuated after adjustment for patient characteristics. Targeted anti-inflammatory treatments are worthy of consideration for secondary prevention in these patients if ongoing trials of anti-inflammatory therapy prove effective., (© 2017 American Heart Association, Inc.)

Background: Young women with acute myocardial infarction (AMI) have higher mortality risk than similarly aged men. An adverse lipid profile is an important risk factor for cardiovascular outcomes after AMI, but little is known about whether young women with AMI have a higher-risk lipid pattern than men. We characterized sex differences in lipid profiles and treatment utilization among young adults with AMI., Methods: A total of 2,219 adults with AMI (1,494 women) aged 18-55 years were enrolled from 103 hospitals in the United States (2008-2012). Serum lipids and lipoprotein subclasses were measured 1 month after discharge., Results: More than 90% of adults were discharged on a statin, but less than half received a high-intensity dose and 12% stopped taking treatments by 1 month. For both men and women, the median of low-density lipoprotein (LDL) cholesterol was reduced to <100 mg/dL 1 month after discharge for AMI, but high-density lipoprotein (HDL) cholesterol remained <40 mg/dL. Multivariate regression analyses showed that young women had favorable lipoprotein profiles compared with men: women had higher HDL cholesterol and HDL large particle, but lower total cholesterol-to-HDL cholesterol ratio and LDL small particle., Conclusions: Young women with AMI had slightly favorable lipid and lipoprotein profiles compared with men, suggesting that difference in lipid and lipoprotein may not be a major contributor to sex differences in outcomes after AMI. In both men and women, statin remained inadequately used, and low HDL cholesterol level was a major lipid abnormality., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Aims Despite the benefits of regular physical activity participation following acute myocardial infarction, little is known about gender differences in physical activity among patients after acute myocardial infarction. We described, by gender, physical activity trajectories pre- and post-acute myocardial infarction, and determined whether gender was independently associated with physical activity. Methods and results The Variation in Recovery: Role of Gender on Outcomes of Young AMI patients (VIRGO) study, conducted at 103 US, 24 Spanish, and three Australian hospitals, was designed, in part, to evaluate gender differences in lifestyle behaviors following acute myocardial infarction. We used baseline, one-month, and 12-month data collected from patients aged 18-55 years ( n = 3572). Patients were assigned to American Heart Association-defined levels of physical activity. A generalized estimating equation model was used to account for repeated measures within the same individual over time. Men were more active (≥150 min/wk moderate or ≥75 min/wk vigorous activity) than women at baseline (42% vs 34%), one month (45% vs 34%), and 12 months (48% vs 36%) (all p < 0.0001). Men engaged in a significantly longer duration of activity at each time point. When controlling for all other factors, women had 1.37 times the odds of being less active than men from pre-acute myocardial infarction to 12-months post-acute myocardial infarction (95% confidence interval: 1.21-1.55). Non-white race, non-active workplaces, smoking, diabetes, hypertension, and obesity were also associated independently with being less active over time (all p < 0.05). Conclusions Although activity increased modestly over time, women recovering from acute myocardial infarction were less likely to meet physical activity recommendations than were men. By identifying factors associated with low levels of activity during acute myocardial infarction recovery, targeted interventions can be introduced prior to hospital discharge.

Objective: Risk stratification models support clinical decision making in acute myocardial infarction (AMI) care. Existing models were developed using data from younger populations, potentially limiting accuracy and relevance in older adults. We describe physician-perceived risk factors, views of existing models, and preferences for future model development in older adults., Method: Qualitative study using semi-structured telephone interviews and the constant comparative method., Results: Twenty-two physicians from 14 institutions completed the interviews. Median age was 37, and median years of clinical experience was 11.5. Perceived predictors included cardiovascular, comorbid, functional, and social risk factors. Physicians viewed models as easy to use, yet neither inclusive of risk factors nor predictive of non-mortality outcomes germane to clinical decision making in older adults. Ideal models included multidimensional risk domains and operational requirements., Discussion: Physicians reported limitations of available risk models when applied to older adults with AMI. New models are needed to guide AMI treatment in this population., (© The Author(s) 2015.)

Background: Return to work after acute myocardial infarction (AMI) is an important outcome and is particularly relevant to young patients. Women may be at a greater risk for not returning to work given evidence of their worse recovery after AMI than similarly aged men. However, sex differences in return to work after AMI has not been studied extensively in a young population (≤ 55 years)., Methods and Results: We analyzed data from 1680 patients with AMI aged 18 to 55 years (57% women) participating in the Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) study who were working full time (≥ 35 hours) before the event. Data were obtained by medical record abstraction and patient interviews. We conducted multivariable regression analyses to examine sex differences in return to work at 12 months after AMI, and the association of patient characteristics with return to work. When compared with young men, young women were less likely to return to work (89% versus 85%; 85% versus 89%, P=0.02); however, this sex difference was not significant after adjusting for patient sociodemographic characteristics, psychosocial factors, and health measures. Being married, engaging in a professional or clerical type of work, having more favorable physical health, and having no previous coronary disease or hypertension were significantly associated with a higher likelihood of return to work at 12 months., Conclusions: Among a young population, women are less likely to return to work after AMI than men. This disadvantage is explained by differences in demographic, occupational, and health characteristics., (© 2016 American Heart Association, Inc.)

Background: Differences between sexes in cardiac risk factors, perceptions of cardiac risk, and health care provider discussions about risk among young patients with acute myocardial infarction (AMI) are not well studied., Objectives: This study compared cardiac risk factor prevalence, risk perceptions, and health care provider feedback on heart disease and risk modification between young women and men hospitalized with AMI., Methods: We studied 3,501 AMI patients age 18 to 55 years enrolled in the VIRGO (Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients) study in U.S. and Spanish hospitals between August 2008 and January 2012, comparing the prevalence of 5 cardiac risk factors by sex. Modified Poisson regression was used to assess sex differences in self-perceived heart disease risk and self-reported provider discussions of risk and modification., Results: Nearly all patients (98%) had ≥1 risk factor, and 64% had ≥3. Only 53% of patients considered themselves at risk for heart disease, and even fewer reported being told they were at risk (46%) or that their health care provider had discussed heart disease and risk modification (49%). Women were less likely than men to be told they were at risk (relative risk: 0.89; 95% confidence interval: 0.84 to 0.96) or to have a provider discuss risk modification (relative risk: 0.84; 95% confidence interval: 0.79 to 0.89). There was no difference between women and men for self-perceived risk., Conclusions: Despite having significant cardiac risk factors, only one-half of young AMI patients believed they were at risk for heart disease before their event. Even fewer discussed their risks or risk modification with their health care providers; this issue was more pronounced among women., (Copyright © 2015 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)