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Roger, Véronique L.

https://orcid.org/0000-0002-9347-7865

A5065857137 | I1299303238

Mayo Clinic

National Institutes of Health

Citations 219

Atherosclerotic Burden and Heart Failure After Myocardial Infarction

JAMA Cardiology | March 30, 2016 | Volume: 1 | Issue: 2 | Pages: 156

10.1001/jamacardio.2016.0074 | PMID 27437886

Frailty Trajectories in an Elderly Population‐Based Cohort

Journal of the American Geriatrics Society | February 20, 2016 | Volume: 64 | Issue: 2 | Pages: 285-292

10.1111/jgs.13944 | PMID 26889838

Objectives To identify distinct frailty trajectories (clusters of individuals following a similar progression of frailty over time) in an aging population and to estimate associations between frailty trajectories and emergency department visits, hospitalizations, and all‐cause mortality. Design Population‐based cohort study. Setting Olmsted County, Minnesota. Participants Olmsted County, Minnesota residents aged 60–89 in 2005. Measurements Longitudinal changes in frailty between 2005 and 2012 were measured by constructing a yearly Rockwood frailty index incorporating body mass index, 17 comorbidities, and 14 activities of daily living. The frailty index measures variation in health status as the proportion of deficits present of the 32 considered (range 0–1). Results Of the 16,443 Olmsted County residents aged 60–89 in 2005, 12,270 (74.6%) had at least 3 years of frailty index measures and were retained for analysis. The median baseline frailty index increased with age (0.11 for 60–69, 0.14 for 70–79, 0.19 for 80–89). Three distinct frailty trajectories were identified in individuals aged 60–69 at baseline and two trajectories in those aged 70–79 and 80–89. Within each decade of age, increasing frailty trajectories were associated with greater risks of emergency department visits, hospitalization, and all‐cause mortality, even after adjustment for baseline frailty index. Conclusion The number of frailty trajectories differed according to age. Within each age group, those in the highest frailty trajectory had greater healthcare use and worse survival. Frailty trajectories may offer a way to target aging individuals at high risk of hospitalization or death for therapeutic or preventive interventions.
Mortality Associated With Heart Failure After Myocardial Infarction

Circulation: Heart Failure | December 23, 2015 | Volume: 9 | Issue: 1 | Pages: No page available

10.1161/circheartfailure.115.002460 | PMID 26699392

Background— Contemporary data are lacking on the prognostic importance of heart failure (HF) after myocardial infarction (MI). We evaluated the prognostic impact of HF post MI according to preserved/reduced ejection fraction and the timing of its occurrence. Methods and Results— All Olmsted County, Minnesota, residents (n=2596) with incident MI diagnosed in 1990 to 2010 and no prior HF were followed through March 2013. Cox models were used to examine (1) the hazard ratios for death associated with HF type and timing and (2) secular trends in survival by HF status. During a mean follow-up of 7.6 years, there were 1116 deaths, 634 in the 902 patients who developed HF (70%) and 482 in the 1694 patients who did not develop HF (28%). After adjustment for age and sex, HF as a time-dependent variable was strongly associated with mortality (hazard ratio =3.31, 95% confidence interval: 2.93–3.75), particularly from cardiovascular causes (hazard ratio =4.20, 95% confidence interval: 3.50–5.03). Further adjustment for MI severity and comorbidity, acute treatment, and recurrent MI moderately attenuated these associations (hazard ratio =2.49 and 2.94 for all-cause and cardiovascular mortality, respectively). Mortality did not differ by ejection fraction, but was higher for delayed- versus early-onset HF ( P for heterogeneity =0.002). The age- and sex-adjusted 5-year survival estimates in 2001 to 2010 versus 1990 to 2000 were 82% and 81% among HF-free and 61% and 54% among HF patients, respectively ( P for heterogeneity of trends =0.05). Conclusions— HF markedly increases the risk of death after MI. This excess risk is similar regardless of ejection fraction but greater for delayed- versus early-onset HF. Mortality after MI declined over time, primarily as a result of improved HF survival.
Normal-Weight Central Obesity: Implications for Total and Cardiovascular Mortality

Annals of Internal Medicine | November 9, 2015 | Volume: 163 | Issue: 11 | Pages: 827-835

10.7326/m14-2525 | PMID 26551006

Association Between Atrial Fibrillation and Costs After Myocardial Infarction: A Community Study

Clinical Cardiology | September 7, 2015 | Volume: 38 | Issue: 9 | Pages: 548-554

10.1002/clc.22448 | PMID 26418757

ABSTRACTBackgroundThe authors sought to estimate incremental economic impact of atrial fibrillation (AF) and the timing of its onset in myocardial infarction (MI) patients.HypothesisConcurrent AF and its timing are associated with higher costs in MI patients.MethodsThis retrospective cohort study included incident MI patients from Olmsted County, Minnesota, treated between November 1, 2002, and December 31, 2010. We compared inflation‐adjusted standardized costs accumulated between incident MI and end of follow‐up among 3 groups by AF status and timing: no AF, new‐onset AF (within 30 days after index MI), and prior AF. Multivariate adjustment of median costs accounted for right‐censoring in costs.ResultsThe final study cohort had 1389 patients, with 989 in no AF, 163 in new‐onset AF, and 237 in prior AF categories. Median follow‐up times were 3.98, 3.23, and 2.55 years, respectively. Mean age at index was 67 years, with significantly younger patients in the no AF group (64 years vs 76 and 77 years, respectively; P < 0.001). New‐onset and prior AF patients had more comorbid conditions (hypertension, heart failure, and chronic obstructive pulmonary disease). After accounting for differences in baseline characteristics, we found adjusted median (95% confidence interval) costs of $73 000 ($69 000‐$76 000) for no AF; $85 000 ($81 000‐$89 000) for new‐onset AF; and $97 000 ($94 000‐$100 000) for prior AF. Inpatient costs composed the largest share of total median costs (no AF, 82%; new‐onset AF, 84%; prior AF, 83%).ConclusionsAtrial fibrillation frequently coexists with MI and imposes incremental costs, mainly attributable to inpatient care. Timing of AF matters, as prior AF was found to be associated with higher costs than new‐onset AF.
Of the Importance of Motherhood and Apple Pie

Circulation: Cardiovascular Quality and Outcomes | July 15, 2015 | Volume: 8 | Issue: 4 | Pages: 329-331

10.1161/circoutcomes.115.002115 | PMID 26175536

Contributions of Increasing Obesity and Diabetes to Slowing Decline in Subclinical Coronary Artery Disease

Journal of the American Heart Association | April 23, 2015 | Volume: 4 | Issue: 4 | Pages: No page available

10.1161/jaha.114.001524 | PMID 25904589

Background Our previous study of nonelderly adult decedents with nonnatural (accident, suicide, or homicide) cause of death (96% autopsy rate) between 1981 and 2004 revealed that the decline in subclinical coronary artery disease ( CAD ) ended in the mid‐1990s. The present study investigated the contributions of trends in obesity and diabetes mellitus to patterns of subclinical CAD and explored whether the end of the decline in CAD persisted. Methods and Results We reviewed provider‐linked medical records for all residents of Olmsted County, Minnesota , who died from nonnatural causes within the age range of 16 to 64 years between 1981 and 2009 and who had CAD graded at autopsy. We estimated trends in CAD risk factors including age, sex, systolic blood pressure, diabetes (qualifying fasting glucose or medication), body mass index, smoking, and diagnosed hyperlipidemia. Using multiple regression, we tested for significant associations between trends in CAD risk factors and CAD grade and assessed the contribution of trends in diabetes and obesity to CAD trends. The 545 autopsied decedents with recorded CAD grade exhibited significant declines between 1981 and 2009 in systolic blood pressure and smoking and significant increases in blood pressure medication, diabetes, and body mass index ≥30 kg/m 2 . An overall decline in CAD grade between 1981 and 2009 was nonlinear and ended in 1994. Trends in obesity and diabetes contributed to the end of CAD decline. Conclusions Despite continued reductions in smoking and blood pressure values, the previously observed end to the decline in subclinical CAD among nonelderly adult decedents was apparent through 2009, corresponding with increasing obesity and diabetes in that population.
A Contemporary Appraisal of the Heart Failure Epidemic in Olmsted County, Minnesota, 2000 to 2010

JAMA Internal Medicine | April 20, 2015 | Volume: 175 | Issue: 6 | Pages: 996

10.1001/jamainternmed.2015.0924 | PMID 25895156

Care in the Last Year of Life for Community Patients With Heart Failure

Circulation: Heart Failure | April 2, 2015 | Volume: 8 | Issue: 3 | Pages: 489-496

10.1161/circheartfailure.114.001826 | PMID 25834184

Background— Healthcare utilization peaks at the end of life (EOL) in patients with heart failure. However, it is unclear what factors affect end of life utilization in patients with heart failure and if utilization has changed over time. Methods and Results— Southeastern Minnesota residents with heart failure were prospectively enrolled into a longitudinal cohort study from 2003 to 2011. Patients who died before December 31, 2012, were included in the analysis. Information on hospitalizations and outpatient visits in the last year of life was obtained using administrative sources. Negative binomial regression was used to assess the association between patient characteristics and utilization. The 698 decedents (47.3% men; 53.4% preserved ejection fraction) experienced 1528 hospitalizations (median 2 per person; range, 0–12; 37.6% because of cardiovascular causes) and 12 927 outpatient visits (median 14 per person; range, 0–119) in their last year of life. Most patients (81.5%) were hospitalized at least once and 28.4% died in the hospital. Patients who were older and those with dementia had lower utilization. Patients who were married, resided in a skilled nursing facility, and had more comorbidities had higher utilization. Patients with preserved ejection fraction had higher rates of noncardiovascular hospitalizations although other utilization was similar. Over time, rates of hospitalizations and outpatient visits decreased, whereas palliative care consults and enrollment in hospice increased. Conclusions— Although patient factors remain associated with differential healthcare utilization at the end of life, utilization declined over time and use of palliative care services increased. These results are encouraging given the high resource use in patients with heart failure.
Increased Incidence of Atrial Fibrillation in Patients with Rheumatoid Arthritis

BioMed Research International | March 1, 2015 | Volume: 2015 | Issue: No issue available | Pages: 1-5

10.1155/2015/809514 | PMID 25815336

Objective. To investigate the incidence of atrial fibrillation (AF) among patients with rheumatoid arthritis (RA) compared to the general population.Methods. A population-based inception cohort of Olmsted County, Minnesota, residents with incident RA in 1980–2007 and a cohort of non-RA subjects from the same population base were assembled and followed until 12/31/2008. The occurrence of AF was ascertained by medical record review.Results. The study included 813 patients with RA and 813 non-RA subjects (mean age 55.9 (SD:15.7) years, 68% women in both cohorts). The prevalence of AF was similar in the RA and non-RA cohorts at RA incidence/index date (4% versus 3%;P=0.51). The cumulative incidence of AF during follow-up was higher among patients with RA compared to non-RA subjects (18.3% versus 16.3% at 20 years;P=0.048). This difference persisted after adjustment for age, sex, calendar year, smoking, and hypertension (hazard ratio: 1.46; 95% CI: 1.07, 2.00). There was no evidence of a differential impact of AF on mortality in patients with RA compared to non-RA subjects (hazard ratio 2.5 versus 2.8; interactionP=0.31).Conclusion. The incidence of AF is increased in patients with RA, even after adjustment for AF risk factors. AF related mortality risk did not differ between patients with and without RA.