151
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Muller CJ, Alonso A, Forster J, Vock DM, Zhang Y, Gottesman RF, Rosamond W, Longstreth WT, MacLehose RF. Stroke Incidence and Survival in American Indians, Blacks, and Whites: The Strong Heart Study and Atherosclerosis Risk in Communities Study. J Am Heart Assoc 2019; 8:e010229. [PMID: 31189396 PMCID: PMC6645631 DOI: 10.1161/jaha.118.010229] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background American Indians (AIs) have high stroke morbidity and mortality. We compared stroke incidence and mortality in AIs, blacks, and whites. Methods and Results Pooled data from 2 cardiovascular disease cohort studies included 3182 AIs from the SHS (Strong Heart Study), aged 45 to 74 years at baseline (1988–1990) and 3765 blacks and 10 413 whites from the ARIC (Atherosclerosis Risk in Communities) Study, aged 45 to 64 years at baseline (1987–1989). Stroke surveillance was based on self‐report, hospital records, and death certificates. We estimated hazard ratios for incident stroke (ischemic and hemorrhagic combined) through 2008, stratified by sex and birth‐year tertile, and relative risk for poststroke mortality. Incident strokes numbered 282 for AIs, 416 for blacks, and 613 for whites. For women and men, stroke incidence among AIs was similar to or lower than blacks and higher than whites. Covariate adjustment resulted in lower hazard ratios for most comparisons, but results for these models were not always statistically significant. After covariate adjustment, AI women and men had higher 30‐day poststroke mortality than blacks (relative risk=2.1 [95% CI=1.0, 3.2] and 2.2 [95% CI=1.3, 3.1], respectively), and whites (relative risk=1.6 [95% CI=0.8, 2.5] and 1.7 [95% CI=1.1, 2.4]), and higher 1‐year mortality (relative risk range=1.3–1.5 for all comparisons). Conclusions Stroke incidence in AIs was lower than for blacks and higher than for whites; differences were larger for blacks and smaller for whites after covariate adjustment. Poststroke mortality was higher in AIs than blacks and whites.
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Affiliation(s)
- Clemma J Muller
- 1 Elson S. Floyd College of Medicine Washington State University Seattle WA
| | - Alvaro Alonso
- 2 Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA
| | - Jean Forster
- 3 Division of Epidemiology University of Minnesota Minneapolis MN
| | - David M Vock
- 4 Division of Biostatistics University of Minnesota Minneapolis MN
| | - Ying Zhang
- 5 Department of Biostatistics and Epidemiology University of Oklahoma Health Sciences Center Oklahoma City OK
| | - Rebecca F Gottesman
- 6 Departments of Neurology and Epidemiology Johns Hopkins University Baltimore MD
| | - Wayne Rosamond
- 7 Department of Epidemiology Gillings School of Public Health University of North Carolina at Chapel Hill NC
| | - W T Longstreth
- 8 Departments of Neurology and Epidemiology University of Washington Seattle WA
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152
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Ramalho SHR, Santos M, Claggett B, Matsushita K, Kitzman DW, Loehr L, Solomon SD, Skali H, Shah AM. Association of Undifferentiated Dyspnea in Late Life With Cardiovascular and Noncardiovascular Dysfunction: A Cross-sectional Analysis From the ARIC Study. JAMA Netw Open 2019; 2:e195321. [PMID: 31199443 PMCID: PMC6575149 DOI: 10.1001/jamanetworkopen.2019.5321] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 04/23/2019] [Indexed: 12/12/2022] Open
Abstract
Importance Undifferentiated dyspnea is common in late life, but the relative contribution of subclinical cardiac dysfunction is unknown. Impairments in cardiac structure and function may be characteristics of undifferentiated dyspnea in elderly people, providing potential insights into occult heart failure (HF). Objective To quantify the association of undifferentiated dyspnea with cardiac dysfunction after accounting for other potential contributors. Design, Setting, and Participants This cross-sectional study used data from Atherosclerosis Risk in Communities study participants 65 years and older who attended the fifth study visit (from 2011 to 2013) and had not been diagnosed with HF, chronic obstructive pulmonary disease, morbid obesity, or severe kidney disease. Analyses were conducted from October 2017 to June 2018. Exposures Dyspnea measured using the modified Medical Research Council scale, with a score less than 2 classified as none to mild and a score of 2 or more classified as moderate to severe. Main Outcomes and Measures Using multivariable logistic regression, the association of undifferentiated dyspnea was defined using cardiac structure, systolic and diastolic function, pulmonary pressure (echocardiography), pulmonary function (spirometry), glomerular filtration rate, hemoglobin, body mass index, depression, and physical performance. The population-attributable risk was calculated for each dysfunction metric. Results Among 4342 participants (mean [SD] age, 75.9 [5.0] years; 2533 [58.3%] women), 1173 (27.0%) had undifferentiated dyspnea. Moderate to severe dyspnea was present in 574 participants (13.2%) and was associated with left ventricular (LV) hypertrophy (odds ratio [OR], 1.53; 95% CI, 1.25-1.87; P < .001) and LV diastolic (OR, 1.46; 95% CI, 1.20-1.78; P < .001) and systolic (OR, 1.28; 95% CI, 1.05-1.56; P = .02) dysfunction. Moderate to severe dyspnea was also associated with obstructive (OR, 1.59; 95% CI, 1.28-1.99; P < .001) and restrictive (OR, 2.56; 95% CI, 1.99-3.27; P < .001) findings on spirometry, renal impairment (OR, 1.32; 95% CI, 1.08-1.61; P = .01), anemia (OR, 1.72; 95% CI, 1.39-2.12; P < .001), lower (OR, 2.77; 95% CI, 2.18-3.51; P < .001) and upper (OR, 1.82; 95% CI, 1.49-2.23; P < .001) extremity weakness, depression (OR, 3.01; 95% CI, 2.24-4.25; P < .001), and obesity (OR, 2.35; 95% CI, 1.95-2.83; P < .001). After accounting for these, moderate to severe dyspnea was associated with LV hypertrophy (OR, 1.30; 95% CI, 1.01-1.67; P = .04) and was not associated with systolic or diastolic function. In contrast, in the fully adjusted model, other organ system measures were associated with dyspnea, except for glomerular filtration rate and grip strength. The population-attributable risk of dyspnea associated with obesity alone was 22.6% compared with 5.8% for LV hypertrophy. Conclusions and Relevance Undifferentiated dyspnea is multifactorial in older adults, and this study showed an association with obesity. When accounting for other relevant organ systems, cardiovascular function poorly discriminated those with vs those without dyspnea. Therefore, dyspnea should not be assumed to represent occult HF in this population.
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Affiliation(s)
- Sergio H. R. Ramalho
- Health Sciences and Technologies Post-Graduation Program, University of Brasília, Brasília, Brazil
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Mario Santos
- Department of Physiology and Cardiothoracic Surgery, Cardiovascular R&D Unit, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Brian Claggett
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Laura Loehr
- Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - Scott D. Solomon
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Hicham Skali
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Amil M. Shah
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
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153
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Koton S, Wruck L, Quibrera PM, Gottesman RF, Agarwal SK, Jones SA, Wright JD, Shahar E, Coresh J, Rosamond WD. Temporal trends in validated ischaemic stroke hospitalizations in the USA. Int J Epidemiol 2019; 48:994-1003. [PMID: 30879069 DOI: 10.1093/ije/dyz025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Accurate assessment of the burden of stroke, a major cause of disability and death, is crucial. We aimed to estimate rates of validated ischaemic stroke hospitalizations in the USA during 1998-2011. METHODS We used the Atherosclerosis Risk in Communities (ARIC) study cohort's adjudicated stroke data for participants aged ≥55 years, to construct validation models for each International Classification of Diseases (ICD)-code group and patient covariates. These models were applied to the Nationwide Inpatient Sample (NIS) data to estimate the probability of validated ischaemic stroke for each eligible hospitalization. Rates and trends in NIS using ICD codes vs estimates of validated ischaemic stroke were compared. RESULTS After applying validation models, the estimated annual average rate of validated ischaemic stroke hospitalizations in the USA during 1998-2011 was 3.37 [95% confidence interval (CI): 3.31, 3.43) per 1000 person-years. Validated rates declined during 1998-2011 from 4.7/1000 to 2.9/1000; however, the decline was limited to 1998-2007, with no further decline subsequently through 2011. Validation models showed that the false-positive (∼23% of strokes) and false-negative rates of ICD-9-CM codes in primary position for ischaemic stroke approximately cancel. Therefore, estimates of ischaemic stroke hospitalizations did not substantially change after applying validation models. CONCLUSIONS Overall, ischaemic stroke hospitalization rates in the USA have declined during 1998-2007, but no further decline was observed from 2007 to 2011. Validated ischaemic stroke hospitalizations estimates were similar to published estimates of hospitalizations with ischaemic stroke ICD codes in primary position. Validation of national discharge data using prospective chart review data is important to estimate the accuracy of reported burden of stroke.
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Affiliation(s)
- Silvia Koton
- Stanley Steyer School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lisa Wruck
- Duke Clinical Research Institute, Duke University, Durham, NC, USA
| | - Pedro Miguel Quibrera
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca F Gottesman
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sunil K Agarwal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sydney A Jones
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Eyal Shahar
- Division of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wayne D Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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154
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Almuwaqqat Z, Jokhadar M, Norby FL, Lutsey PL, O'Neal WT, Seyerle A, Soliman EZ, Chen LY, Bremner JD, Vaccarino V, Shah AJ, Alonso A. Association of Antidepressant Medication Type With the Incidence of Cardiovascular Disease in the ARIC Study. J Am Heart Assoc 2019; 8:e012503. [PMID: 31140335 PMCID: PMC6585369 DOI: 10.1161/jaha.119.012503] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Background The association of antidepressant medication type with the risk of cardiovascular disease (CVD) is unclear. We hypothesized that selective serotonin reuptake inhibitors (SSRIs) are associated with lower risks of CVD events relative to tricyclics and other non‐SSRI antidepressants. Methods and Results We studied 2027 participants from the ARIC (Atherosclerosis Risk in Communities) study (mean age 63±10 years; 29% men; 78% white) treated with antidepressants at some time between 1987 and 2013. Antidepressant usage was confirmed by participants bringing pill bottles to study visits. CVD events in the study sample were identified, including atrial fibrillation, heart failure, myocardial infarction, and ischemic stroke. Hazard ratios were used to compare CVD events adjusted for sociodemographic and clinical risk factors in SSRIs users (47%) versus non‐SSRI users. Participants were followed from antidepressant initiation up to 2016 for a median of 13.5 years. We identified 332 atrial fibrillation, 365 heart failure, 174 myocardial infarction and 119 ischemic stroke events. CVD risk was similar for SSRIs and non‐SSRI antidepressant users (hazard ratio, 1.10; 95% CI, 0.86–1.41 for atrial fibrillation; hazard ratio, 0.98; 95% CI, 0.77–1.25 for heart failure; hazard ratio, 0.91; 95% CI, 0.64–1.29 for myocardial infarction; and hazard ratio, 1.07; 95% CI, 0.70–1.63 for ischemic stroke). Conclusions SSRI use was not associated with reduced risk of incident CVD compared with non‐SSRI antidepressant use. These results do not provide evidence supporting the use of SSRIs compared with tricyclics and other non‐SSRI antidepressants in relation to CVD risk.
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Affiliation(s)
- Zakaria Almuwaqqat
- 1 Department of Medicine Emory University School of Medicine Atlanta GA.,2 Division of Cardiology Department of Medicine Emory University School of Medicine Atlanta GA
| | - Maan Jokhadar
- 2 Division of Cardiology Department of Medicine Emory University School of Medicine Atlanta GA
| | - Faye L Norby
- 3 Division of Epidemiology & Community Health School of Public Health University of Minnesota Minneapolis MN
| | - Pamela L Lutsey
- 3 Division of Epidemiology & Community Health School of Public Health University of Minnesota Minneapolis MN
| | - Wesley T O'Neal
- 2 Division of Cardiology Department of Medicine Emory University School of Medicine Atlanta GA
| | - Amanda Seyerle
- 8 Eshelman School of Pharmacy University of North Carolina Chapel Hill NC
| | - Elsayed Z Soliman
- 4 Department of Epidemiology and Prevention Epidemiological Cardiology Research Center Wake Forest School of Medicine Winston-Salem NC
| | - Lin Y Chen
- 5 Cardiovascular Division Department of Medicine University of Minnesota Medical School Minneapolis MN
| | - J Douglas Bremner
- 7 Department of Psychiatry & Behavioral Sciences Emory University School of Medicine Atlanta GA.,9 Atlanta VA Medical Center Decatur GA
| | - Viola Vaccarino
- 2 Division of Cardiology Department of Medicine Emory University School of Medicine Atlanta GA.,6 Department of Epidemiology Rollins School of Public Health Emory University Atlanta GA
| | - Amit J Shah
- 2 Division of Cardiology Department of Medicine Emory University School of Medicine Atlanta GA.,6 Department of Epidemiology Rollins School of Public Health Emory University Atlanta GA.,9 Atlanta VA Medical Center Decatur GA
| | - Alvaro Alonso
- 6 Department of Epidemiology Rollins School of Public Health Emory University Atlanta GA
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155
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Oliver-Williams C, Vladutiu CJ, Loehr LR, Rosamond WD, Stuebe AM. The Association Between Parity and Subsequent Cardiovascular Disease in Women: The Atherosclerosis Risk in Communities Study. J Womens Health (Larchmt) 2019; 28:721-727. [PMID: 30481103 PMCID: PMC6537113 DOI: 10.1089/jwh.2018.7161] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Background: Previous studies are inconclusive on the relationship between parity and cardiovascular disease (CVD), with few evaluating multiple cardiovascular outcomes. It is also unclear if any relationship between parity and CVD is independent of breastfeeding. We examined the associations between parity and cardiovascular outcomes, including breastfeeding adjustment. Materials and Methods: Data were from 8,583 White and African American women, 45-64 years of age, in the Atherosclerosis Risk in Communities Study. Coronary heart disease (CHD), myocardial infarction (MI), heart failure, and strokes were ascertained from 1987 to 2016 by annual interviews and hospital surveillance. Parity and breastfeeding were self-reported. Cox proportional hazards regression estimated hazard ratios (HR) for the association between parity and cardiovascular outcomes, adjusting for baseline sociodemographic, clinical and lifestyle factors, and breastfeeding. Results: Women reported no pregnancies (6.0%), or having 0 (1.6%), 1-2 (36.2%), 3-4 (36.4%), or 5+ (19.7%) live births. During 30 years follow-up, there were 1,352 CHDs, 843 MIs, 750 strokes, and 1,618 heart failure events. Compared with women with 1-2 prior births, those with prior pregnancies and no live births had greater incident CHD (HR = 1.64, 95% confidence interval 1.14-2.42) and heart failure risk (1.46, 1.04-2.05), after adjustment for baseline characteristics. Women with 5+ births had greater risk of CHD (1.29, 1.10-1.52) and hospitalized MI (1.38, 1.13-1.69), after adjustment for baseline characteristics and breastfeeding. Conclusions: In a diverse U.S. cohort, a history of 5+ live births is associated with CHD risk, specifically, MI, independent of breastfeeding. Having a prior pregnancy and no live birth is associated with greater CHD and heart failure risk.
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Affiliation(s)
- Clare Oliver-Williams
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
- Homerton College, Hills Road, University of Cambridge, Cambridge, United Kingdom
| | - Catherine J. Vladutiu
- Department of Obstetrics & Gynecology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Laura R. Loehr
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Wayne D. Rosamond
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Alison M. Stuebe
- Department of Obstetrics & Gynecology, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
- Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
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156
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Li D, Misialek JR, Jack CR, Mielke MM, Knopman D, Gottesman R, Mosley T, Alonso A. Plasma Metabolites Associated with Brain MRI Measures of Neurodegeneration in Older Adults in the Atherosclerosis Risk in Communities⁻Neurocognitive Study (ARIC-NCS). Int J Mol Sci 2019; 20:ijms20071744. [PMID: 30970556 PMCID: PMC6479561 DOI: 10.3390/ijms20071744] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 03/28/2019] [Accepted: 04/01/2019] [Indexed: 12/30/2022] Open
Abstract
Background: Plasma metabolites are associated with cognitive and physical function in the elderly. Because cerebral small vessel disease (SVD) and neurodegeneration are common causes of cognitive and physical function decline, the primary objective of this study was to investigate the associations of six plasma metabolites (two plasma phosphatidylcholines [PCs]: PC aa C36:5 and PC aa 36:6 and four sphingomyelins [SMs]: SM C26:0, SM [OH] C22:1, SM [OH] C22:2, SM [OH] C24:1) with magnetic resonance imaging (MRI) features of cerebral SVD and neurodegeneration in older adults. Methods: This study included 238 older adults in the Atherosclerosis Risk in Communities study at the fifth exam. Multiple linear regression was used to assess the association of each metabolite (log-transformed) in separate models with MRI measures except lacunar infarcts, for which binary logistic regression was used. Results: Higher concentrations of plasma PC aa C36:5 had adverse associations with MRI features of cerebral SVD (odds ratio of 1.69 [95% confidence interval: 1.01, 2.83] with lacunar infarct, and beta of 0.16 log [cm3] [0.02, 0.30] with log [White Matter Hyperintensities (WMH) volume]) while higher concentrations of 3 plasma SM (OH)s were associated with higher total brain volume (beta of 12.0 cm3 [5.5, 18.6], 11.8 cm3 [5.0, 18.6], and 7.3 cm3 [1.2, 13.5] for SM [OH] C22:1, SM [OH] C22:2, and SM [OH] C24:1, respectively). Conclusions: This study identified associations between certain plasma metabolites and brain MRI measures of SVD and neurodegeneration in older adults, particularly higher SM (OH) concentrations with higher total brain volume.
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Affiliation(s)
- Danni Li
- Department of Lab Medicine and Pathology, University of Minnesota, 420 Delaware Street SE, MMC 609, Minneapolis, MN 55455, USA.
| | - Jeffrey R Misialek
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA.
| | - Clifford R Jack
- Department of Radiology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
| | - Michelle M Mielke
- Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN 55906, USA.
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
| | - David Knopman
- Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
| | - Rebecca Gottesman
- Department of Neurology, Johns Hopkins Medical Institutions, Baltimore, MD 21287, USA.
| | - Tom Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA.
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
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157
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Jiménez MC, Manson JE, Cook NR, Kawachi I, Wassertheil-Smoller S, Haring B, Nassir R, Rhee JJ, Sealy-Jefferson S, Rexrode KM. Racial Variation in Stroke Risk Among Women by Stroke Risk Factors. Stroke 2019; 50:797-804. [PMID: 30869565 PMCID: PMC6433502 DOI: 10.1161/strokeaha.117.017759] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 01/11/2019] [Indexed: 12/25/2022]
Abstract
Background and Purpose- In the United States, black Americans exhibit a greater risk of stroke and burden of stroke risk factors than whites; however, it is unclear whether these stroke risk factors influence stroke risk differently across racial groups. Methods- In total, 126 018 participants of the Women's Health Initiative (11 389 black and 114 629 white women), free of stroke and coronary heart disease at baseline (1994-1998), were followed through 2010. Participants completed baseline clinical exams with standardized measurements of blood pressure and anthropometrics, medication inventory and self-reported questionnaires on sociodemographics, behaviors/lifestyle, and medical history. Incident total, ischemic and hemorrhagic strokes were updated annually through questionnaires with medical record confirmation. Rate differences (per 100 000 person-years) and hazard ratios (HR) based on multivariable Cox models and were estimated. Results- Over a median of 13 years, 4344 stroke events were observed. Absolute incidence rates were higher in black than white women in each age group. In age-adjusted analyses, the risk of stroke was significantly higher among black compared with white women (HR=1.47, 95% CI, 1.33-1.63); adjustment for stroke risk factors, which may be on the causal pathway, attenuated the estimate. Racial disparities were greatest among women 50 to <60 years (HR=3.48; 95% CI, 2.31-5.26; rate difference =99) and diminished with increasing age (60 to <70 HR=1.80; 95% CI, 1.50-2.16; rate difference =107; ≥70 years: HR=1.26; 95% CI, 1.10-1.43; rate difference =87; Pinteraction <0.001). Black women 50 to <60 years remained at significantly higher risk than white women after adjustment for stroke risk factors (HR=1.76; 95% CI, 1.09-2.83). Conclusions- There was a moderately greater risk of total stroke among black compared with white women; however, racial disparities were greatest among women aged 50 to <60 years. Interventions targeted at younger black women may provide the greatest benefit in reducing disparities.
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Affiliation(s)
- Monik C. Jiménez
- Division of Women’s Health, Brigham and Women’s Hospital, Boston, MA, USA
| | - JoAnn E. Manson
- Division of Women’s Health, Brigham and Women’s Hospital, Boston, MA, USA
| | - Nancy R. Cook
- Division of Women’s Health, Brigham and Women’s Hospital, Boston, MA, USA
| | - Ichiro Kawachi
- Department of Social and Behavioral Health, Harvard School of Public Health, Boston MA USA
| | | | - Bernhard Haring
- Department of Medicine, University of Würzburg, Würzburg, Bavaria, Germany
| | - Rami Nassir
- Department of Biochemistry and Molecular Medicine, University of California, Davis, California
| | - Jinnie J. Rhee
- Department of Medicine, Division of Nephrology, Stanford University School of Medicine, Palo Alto, MA USA
| | - Shawnita Sealy-Jefferson
- Division of Epidemiology, The Ohio State University, College of Public Health, Columbus, OH, USA
| | - Kathryn M. Rexrode
- Division of Women’s Health, Brigham and Women’s Hospital, Boston, MA, USA
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158
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Yue YH, Li ZZ, Hu L, Zhu XQ, Xu XS, Sun HX, Wan ZW, Xue J, Yu DH. Clinical characteristics and risk score for poor clinical outcome of acute ischemic stroke patients treated with intravenous thrombolysis therapy. Brain Behav 2019; 9:e01251. [PMID: 30859753 PMCID: PMC6456782 DOI: 10.1002/brb3.1251] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Revised: 01/25/2019] [Accepted: 02/18/2019] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Tissue plasminogen activator (t-PA) is an effective therapy for acute ischemic stroke, but some patients still have poor clinical outcome. In this study, we investigated clinical characteristics of stroke patients and determined predictors for poor clinical outcome in response to t-PA treatment. METHODS Clinical data from 247 patients were retrospectively reviewed. Clinical parameters that were associated with survival of patients were analyzed. Areas under receiver operating characteristic curves (ROC) were used to determine the feasibility of using various combinations of the clinical parameters to predict poor clinical response. The clinical outcome was defined according to the changes in Modified Rankin Scale. RESULTS Overall, 145 patients had improved/complete recovery, 73 had no change, and 29 had worsening conditions or died during the in-clinic period. A univariate analysis showed that baseline characteristics including age, CRP, blood glucose level, systolic blood pressure, and admission NIHSS were significantly different (p < 0.05) among patients with different clinical outcome. A further multivariate analysis was then performed. Variables associated with poor clinical outcome (worsening/death) (p < 0.1) were included in the logistic regression model. Four parameters were retained in the model: Age, CRP, Blood glucose level, and Systolic blood pressure (ACBS). To allow a convenient usage of the ACBS classifier, the parameters were put into a scoring system, and the score at 7.7 was chosen as a cut-off. The ROC curve of this ACBS classifier has an area under the curve (AUC) of 0.7788, higher than other individual parameters. The ACBS classifier provided enhanced sensitivity of 69.2% and specificity of 74.3%. CONCLUSION The ACBS classifier provided a satisfactory power in estimating the patients' clinical outcome. After further validating, the classifier may provide important information to clinicians for making clinical decisions.
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Affiliation(s)
- Yun-Hua Yue
- Department of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China
| | - Zhi-Zhang Li
- Department of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China
| | - Liang Hu
- Department of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China
| | - Xiao-Qiong Zhu
- Department of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China
| | - Xu-Shen Xu
- Department of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China
| | - Hong-Xian Sun
- Department of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China
| | - Zhi-Wen Wan
- Department of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China
| | - Jie Xue
- Department of Neurology, Yangpu Hospital Tongji University School of Medicine, Shanghai, China
| | - De-Hua Yu
- Department of General Medicine, Yangpu Hospital Tongji University School of Medicine, Shanghai, Shanghai, China
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159
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Sun D, Tiedt S, Yu B, Jian X, Gottesman RF, Mosley TH, Boerwinkle E, Dichgans M, Fornage M. A prospective study of serum metabolites and risk of ischemic stroke. Neurology 2019; 92:e1890-e1898. [PMID: 30867269 PMCID: PMC6550501 DOI: 10.1212/wnl.0000000000007279] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 12/19/2018] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE To identify promising blood-based biomarkers and novel etiologic pathways of disease risk, we applied an untargeted serum metabolomics profiling in a community-based prospective study of ischemic stroke (IS). METHODS In 3,904 men and women from the Atherosclerosis Risk In Communities study, Cox proportional hazard models were used to estimate the association of incident IS with the standardized level of 245 fasting serum metabolites individually, adjusting for age, sex, race, field center, batch, diabetes, hypertension, current smoking status, body mass index, and estimated glomerular filtration rate. Validation of results was carried out in an independent sample of 114 IS cases and 112 healthy controls. RESULTS Serum levels of 2 long-chain dicarboxylic acids, tetradecanedioate and hexadecanedioate, were strongly correlated (r = 0.88) and were associated with incident IS after adjusting for covariates (hazard ratio [95% confidence interval (CI)] 1.11 [1.06-1.16] and 1.12 [1.07-1.17], respectively; p < 0.0001). Analyses by IS subtypes suggested that these associations were specific to cardioembolic stroke (CES). Associations of tetradecanedioate and hexadecanedioate with IS were independently confirmed (odds ratio [95% CI] 1.76 [1.21; 2.56] and 1.60 [1.11; 2.32], respectively). CONCLUSION Two serum long-chain dicarboxylic acids, metabolic products of ω-oxidation of fatty acids, were associated with IS and CES independently of known risk factors. Pathways related to intracellular hexadecanedioate synthesis or those involved in its clearance from the circulation may mediate IS risk. These results highlight the potential of metabolomics to discover novel circulating biomarkers for stroke and to unravel novel pathways for IS and its subtypes.
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Affiliation(s)
- Daokun Sun
- From the Brown Foundation Institute of Molecular Medicine, McGovern Medical School (D.S., X.J., M.F.), and School of Public Health (B.Y., E.B., M.F.), The University of Texas Health Science Center at Houston; Institute for Stroke and Dementia Research (S.T., M.D.), Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany; Johns Hopkins University School of Medicine (R.F.G.), Baltimore, MD; The University of Mississippi Medical Center (T.H.M.), Jackson; German Center for Neurodegenerative Diseases (DZNE, Munich) (M.D.); and Munich Cluster for Systems Neurology (SyNergy) (S.T., M.D.), Germany
| | - Steffen Tiedt
- From the Brown Foundation Institute of Molecular Medicine, McGovern Medical School (D.S., X.J., M.F.), and School of Public Health (B.Y., E.B., M.F.), The University of Texas Health Science Center at Houston; Institute for Stroke and Dementia Research (S.T., M.D.), Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany; Johns Hopkins University School of Medicine (R.F.G.), Baltimore, MD; The University of Mississippi Medical Center (T.H.M.), Jackson; German Center for Neurodegenerative Diseases (DZNE, Munich) (M.D.); and Munich Cluster for Systems Neurology (SyNergy) (S.T., M.D.), Germany
| | - Bing Yu
- From the Brown Foundation Institute of Molecular Medicine, McGovern Medical School (D.S., X.J., M.F.), and School of Public Health (B.Y., E.B., M.F.), The University of Texas Health Science Center at Houston; Institute for Stroke and Dementia Research (S.T., M.D.), Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany; Johns Hopkins University School of Medicine (R.F.G.), Baltimore, MD; The University of Mississippi Medical Center (T.H.M.), Jackson; German Center for Neurodegenerative Diseases (DZNE, Munich) (M.D.); and Munich Cluster for Systems Neurology (SyNergy) (S.T., M.D.), Germany
| | - Xueqiu Jian
- From the Brown Foundation Institute of Molecular Medicine, McGovern Medical School (D.S., X.J., M.F.), and School of Public Health (B.Y., E.B., M.F.), The University of Texas Health Science Center at Houston; Institute for Stroke and Dementia Research (S.T., M.D.), Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany; Johns Hopkins University School of Medicine (R.F.G.), Baltimore, MD; The University of Mississippi Medical Center (T.H.M.), Jackson; German Center for Neurodegenerative Diseases (DZNE, Munich) (M.D.); and Munich Cluster for Systems Neurology (SyNergy) (S.T., M.D.), Germany
| | - Rebecca F Gottesman
- From the Brown Foundation Institute of Molecular Medicine, McGovern Medical School (D.S., X.J., M.F.), and School of Public Health (B.Y., E.B., M.F.), The University of Texas Health Science Center at Houston; Institute for Stroke and Dementia Research (S.T., M.D.), Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany; Johns Hopkins University School of Medicine (R.F.G.), Baltimore, MD; The University of Mississippi Medical Center (T.H.M.), Jackson; German Center for Neurodegenerative Diseases (DZNE, Munich) (M.D.); and Munich Cluster for Systems Neurology (SyNergy) (S.T., M.D.), Germany
| | - Thomas H Mosley
- From the Brown Foundation Institute of Molecular Medicine, McGovern Medical School (D.S., X.J., M.F.), and School of Public Health (B.Y., E.B., M.F.), The University of Texas Health Science Center at Houston; Institute for Stroke and Dementia Research (S.T., M.D.), Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany; Johns Hopkins University School of Medicine (R.F.G.), Baltimore, MD; The University of Mississippi Medical Center (T.H.M.), Jackson; German Center for Neurodegenerative Diseases (DZNE, Munich) (M.D.); and Munich Cluster for Systems Neurology (SyNergy) (S.T., M.D.), Germany
| | - Eric Boerwinkle
- From the Brown Foundation Institute of Molecular Medicine, McGovern Medical School (D.S., X.J., M.F.), and School of Public Health (B.Y., E.B., M.F.), The University of Texas Health Science Center at Houston; Institute for Stroke and Dementia Research (S.T., M.D.), Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany; Johns Hopkins University School of Medicine (R.F.G.), Baltimore, MD; The University of Mississippi Medical Center (T.H.M.), Jackson; German Center for Neurodegenerative Diseases (DZNE, Munich) (M.D.); and Munich Cluster for Systems Neurology (SyNergy) (S.T., M.D.), Germany
| | - Martin Dichgans
- From the Brown Foundation Institute of Molecular Medicine, McGovern Medical School (D.S., X.J., M.F.), and School of Public Health (B.Y., E.B., M.F.), The University of Texas Health Science Center at Houston; Institute for Stroke and Dementia Research (S.T., M.D.), Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany; Johns Hopkins University School of Medicine (R.F.G.), Baltimore, MD; The University of Mississippi Medical Center (T.H.M.), Jackson; German Center for Neurodegenerative Diseases (DZNE, Munich) (M.D.); and Munich Cluster for Systems Neurology (SyNergy) (S.T., M.D.), Germany
| | - Myriam Fornage
- From the Brown Foundation Institute of Molecular Medicine, McGovern Medical School (D.S., X.J., M.F.), and School of Public Health (B.Y., E.B., M.F.), The University of Texas Health Science Center at Houston; Institute for Stroke and Dementia Research (S.T., M.D.), Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany; Johns Hopkins University School of Medicine (R.F.G.), Baltimore, MD; The University of Mississippi Medical Center (T.H.M.), Jackson; German Center for Neurodegenerative Diseases (DZNE, Munich) (M.D.); and Munich Cluster for Systems Neurology (SyNergy) (S.T., M.D.), Germany.
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Mao J, Jiang W, Liu G, Jiang B. Serum calcium levels at admission is associated with the outcomes in patients with hypertensive intracerebral hemorrhage. Br J Neurosurg 2019; 33:145-148. [PMID: 30775930 DOI: 10.1080/02688697.2019.1571162] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Affiliation(s)
- Jinning Mao
- The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Wenping Jiang
- The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Guodong Liu
- Department of Neurosurgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Bin Jiang
- The First Affiliated Hospital of Soochow University, Suzhou, China
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161
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Nalleballe K, Sharma R, Kovvuru S, Brown A, Sheng S, Gundapaneni S, Ranabothu S, Veerapaneni P, Joiner R, Kapoor N, Culp W, Onteddu S. Why are acute ischemic stroke patients not receiving thrombolysis in a telestroke network? J Telemed Telecare 2019; 26:317-321. [PMID: 30741084 DOI: 10.1177/1357633x18824518] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVE The purpose of this study was to determine reasons for not giving intravenous tissue plasminogen activator to eligible patients with acute ischemic stroke in a telestroke network. METHODS We performed a retrospective analysis of prospectively collected data of patients who were seen as a telestroke consultation during 2015 and 2016 with the Arkansas Stroke Assistance through Virtual Emergency Support programme for possible acute ischemic stroke. RESULTS Total consultations seen were 809 in 2015 and 744 in 2016, out of which 238 patients in 2015 and 247 patients in 2016 received intravenous tissue plasminogen activator. In 2015 and 2016, out of the remaining 571 and 497 patients, 294 and 200 patients respectively were thought to be cases of acute stroke based on clinical evaluation. The most common reasons for not being treated in 2015 and 2016, respectively, were; (a) minimal deficits in 42.17% and 49.5% cases, (b) falling out of the 4.5-hour time window in 22.44% and 22% cases, (c) patient/next of kin refusal in 18.02% and 16.5% cases. Less common reasons included limited functional status, abnormal labs (thrombocytopenia, elevated international normalised ratio (INR)/prothrombin time (PT)/partial thromboplastin time (PTT), hypo or hyperglycemia etc), recent surgery and symptoms being too severe etc. CONCLUSION 'Minimal deficits' and 'out of time window' continue to be the major causes for not receiving thrombolysis during acute ischemic stroke in both traditional and telestroke systems. Patient/next of kin refusal was high in our telestroke system when compared to traditional practices. Considering the increasing utility of telestroke this needs to be further looked into, along with the ways to address it.
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Affiliation(s)
- Krishna Nalleballe
- Department of Neurology, University of Arkansas for Medical Sciences, USA
| | - Rohan Sharma
- Department of Neurology, University of Arkansas for Medical Sciences, USA
| | - Sukanthi Kovvuru
- Department of Neurology, University of Arkansas for Medical Sciences, USA
| | - Aliza Brown
- Department of Neurology, University of Arkansas for Medical Sciences, USA.,Department of Radiology, University of Arkansas for Medical Sciences, USA
| | - Sen Sheng
- Department of Neurology, University of Arkansas for Medical Sciences, USA
| | | | - Saritha Ranabothu
- Department of Neurology, University of Arkansas for Medical Sciences, USA
| | | | - Renee Joiner
- Center for Distance Health, University of Arkansas for Medical Sciences, USA
| | - Nidhi Kapoor
- Department of Neurology, University of Arkansas for Medical Sciences, USA
| | - William Culp
- Department of Radiology, University of Arkansas for Medical Sciences, USA
| | - Sanjeeva Onteddu
- Department of Neurology, University of Arkansas for Medical Sciences, USA
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162
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Death after diagnosis of noncommunicable disease comorbid conditions, stratified by injection drug use. AIDS 2019; 33:285-293. [PMID: 30325772 DOI: 10.1097/qad.0000000000002054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Describe all-cause mortality associated with history of injection drug use (IDU) after a validated diagnosis of four noncommunicable disease (NCD) diagnoses: end-stage liver disease (ESLD); end-stage renal disease (ESRD); cancer; or myocardial infarction (MI) or stroke. DESIGN We followed four cohorts of persons in continuity HIV care in the Johns Hopkins HIV Clinic with a validated diagnosis of ESLD (n = 67), ESRD (n = 187), cancer (n = 424), and MI or stroke (n = 213) from 1996 through approximately 2014. METHODS Crude and adjusted Cox proportional hazards models to estimate hazard ratios for death after a validated diagnosis of one of four NCD diagnoses associated with history of IDU as an HIV acquisition risk factor. RESULTS History of IDU was not associated with death after ESRD (adjusted hazard ratio 0.98, 95% confidence interval (CI) 0.57-1.68). Associations between history of IDU and death after ESLD and MI or stroke were weak, imprecise and not statistically significant (hazard ratio 1.17, 95% CI 0.63-2.19; hazard ratio 1.21, 95% CI 0.80-1.83). History of IDU was not associated with death after cancer in the first 6 months, but subsequently, the adjusted hazard ratio was 2.03 (95% CI 1.26-3.27). CONCLUSION Persons with a history of injection drug use and non-IDU had strikingly similar risk and hazard of mortality after several major NCD diagnoses. Mortality after cancer diagnosis in this cohort was higher for persons with a history of IDU than those without; this may be because of being diagnosed with a different mix of specific sites and stages of cancers.
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163
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Androulakis XM, Sen S, Kodumuri N, Zhang T, Grego J, Rosamond W, Gottesman RF, Shahar E, Peterlin BL. Migraine Age of Onset and Association With Ischemic Stroke in Late Life: 20 Years Follow-Up in ARIC. Headache 2019; 59:556-566. [PMID: 30663778 DOI: 10.1111/head.13468] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2018] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND PURPOSE To evaluate the association between cumulative exposure to migraine and incidence of ischemic stroke in the Atherosclerosis Risk in Communities (ARIC) study. METHODS In this ongoing, prospective longitudinal community-based cohort, participants were interviewed to ascertain migraine history at the third visit (1993-1995), followed for ischemic stroke incidence over 20 years. We performed a post hoc analysis to evaluate the association between the age of migraine onset and ischemic stroke. RESULTS We identified 447 migraineurs with aura (MA) and 1128 migraineurs without aura (MO) among 11,592 black and white participants. There was an association between the age of MA onset ≥50 years old (average duration = 4.75 years) and ischemic stroke when compared to no headache group (multivariable adjusted HR = 2.17, 95% CI [1.39-3.39], P < .001). MA onset <50 years old (average duration = 28.17 years) was not associated with stroke (multivariable adjusted HR = 1.31, 95% CI [0.86-2.02], P = .212). These results were consistent with our logistic regression model. MO was not associated with increased stroke regardless of the age of onset. The absolute risk for stroke in migraine with aura is 37/447 (8.27%) and migraine without aura is 48/1128 (4.25%). CONCLUSION As compared to the no headache participants, increased stroke risk in late life was observed in participants with late onset of MA. In this cohort, longer cumulative exposure to migraine with visual aura, as would be expected with early onset of migraine, was not associated with increased risk of ischemic stroke in late life. This study underscores the importance of the age of onset of MA in assessing stroke risk in older migraineurs.
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Affiliation(s)
- X Michelle Androulakis
- Department of Neurology, University of South Carolina, Columbia, SC, USA.,WJB Dorn VA Medical Center, Columbia, SC, USA
| | - Souvik Sen
- Department of Neurology, University of South Carolina, Columbia, SC, USA
| | - Nishanth Kodumuri
- Department of Neurology, University of South Carolina, Columbia, SC, USA
| | - Tianming Zhang
- Department of Statistics, University of South Carolina, Columbia, SC, USA
| | - John Grego
- Department of Statistics, University of South Carolina, Columbia, SC, USA
| | - Wayne Rosamond
- Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Rebecca F Gottesman
- Departments of Neurology and Epidemiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eyal Shahar
- Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, USA
| | - B Lee Peterlin
- Lancaster General Neuroscience Institute, Lancaster, PA, USA
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164
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Maheshwari A, Norby FL, Roetker NS, Soliman EZ, Koene RJ, Rooney MR, O’Neal WT, Shah AM, Claggett BL, Solomon SD, Alonso A, Gottesman RF, Heckbert SR, Chen LY. Refining Prediction of Atrial Fibrillation-Related Stroke Using the P 2-CHA 2DS 2-VASc Score. Circulation 2019; 139:180-191. [PMID: 30586710 PMCID: PMC6481672 DOI: 10.1161/circulationaha.118.035411] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND In people with atrial fibrillation (AF), periods of sinus rhythm present an opportunity to detect prothrombotic atrial remodeling through measurement of P-wave indices (PWIs)-prolonged P-wave duration, abnormal P-wave axis, advanced interatrial block, and abnormal P-wave terminal force in lead V1. We hypothesized that the addition of PWIs to the CHA2DS2-VASc score would improve its ability to predict AF-related ischemic stroke. METHODS We included 2229 participants from the ARIC study (Atherosclerosis Risk in Communities) and 700 participants from MESA (Multi-Ethnic Study of Atherosclerosis) with incident AF who were not on anticoagulants within 1 year of AF diagnosis. PWIs were obtained from study visit ECGs before development of AF. AF was ascertained using study visit ECGs and hospital records. Ischemic stroke cases were based on physician adjudication of hospital records. We used Cox proportional hazards models to estimate hazard ratios and 95% CIs of PWIs for ischemic stroke. Improvement in 1-year stroke prediction was assessed by C-statistic, categorical net reclassification improvement, and relative integrated discrimination improvement. RESULTS Abnormal P-wave axis was the only PWI associated with increased ischemic stroke risk (hazard ratio, 1.84; 95% CI, 1.33-2.55) independent of CHA2DS2-VASc variables, and that resulted in meaningful improvement in stroke prediction. The β estimate was approximately twice that of the CHA2DS2-VASc variables, and thus abnormal P-wave axis was assigned 2 points to create the P2-CHA2DS2-VASc score. This improved the C-statistic (95% CI) from 0.60 (0.51-0.69) to 0.67 (0.60-0.75) in ARIC and 0.68 (0.52-0.84) to 0.75 (0.60-0.91) in MESA (validation cohort). In ARIC and MESA, the categorical net reclassification improvements (95% CI) were 0.25 (0.13-0.39) and 0.51 (0.18-0.86), respectively, and the relative integrated discrimination improvement (95% CI) were 1.19 (0.96-1.44) and 0.82 (0.36-1.39), respectively. CONCLUSIONS Abnormal P-wave axis-an ECG correlate of left atrial abnormality- improves ischemic stroke prediction in AF. Compared with CHA2DS2-VASc, the P2-CHA2DS2-VASc is a better prediction tool for AF-related ischemic stroke.
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165
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Gao Y, Jiang B, Sun H, Ru X, Sun D, Wang L, Wang L, Jiang Y, Feigin VL, Wang Y, Wang W. The burden of stroke in China: Results from a nationwide population-based epidemiological survey. PLoS One 2018; 13:e0208398. [PMID: 30521583 PMCID: PMC6283556 DOI: 10.1371/journal.pone.0208398] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 11/16/2018] [Indexed: 11/18/2022] Open
Abstract
Stroke is a serious threat to human health that often leads to severe complications, and currently ranks first as leading cause of death in China. However, reliable data on stroke burden in China in the 21st century are lacking. We used the data from NESS-China (National Epidemiological Survey of Stroke in China) for assessing the adverse health effects of stroke in Chinese population. We carried out inter-regional comparative study in order to obtain regular burden related characteristics of stroke in China, as measured by YLLs (years of life lost due to premature mortality), YLDs (years lived with disability) and DALYs (disability adjusted life years). Amongst the nationwide population of 596,536 individuals of all ages in 2013, the YLLs for stroke was 1748, the YLDs was 262, and the DALYs was 2010(per 100,000). The gender subtype analysis of DALYs was 2171(male) and 1848(female). The YLLs, YLDs and DALYs in rural areas were higher compared to urban areas. Among the 18 age groups, the highest YLLs was observed in ≥ 80 years old group. The impact of stroke on Chinese population is more severe compared to the global average levels. Stroke results as the main cause of YLLs in China, while there is no significant difference for the YLDs. Nevertheless, DALYs caused by stroke rank 3th in global epidemiologic study territories, 1st in China.
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Affiliation(s)
- Yilu Gao
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Bin Jiang
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Haixin Sun
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xiaojuan Ru
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Dongling Sun
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Linhong Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Jiang
- Beijing Tiantan Hospital, Capital Medical University, Beijing Institute for Brain Disorders, Beijing, China
| | - Valery L. Feigin
- National Institute for Stroke and Applied Neurosciences, School of Public Health and Psychosocial Studies, Faculty of Health and Environmental Sciences, Auckland University of Technology, Auckland, New Zealand
| | - Yilong Wang
- Beijing Tiantan Hospital, Capital Medical University, Beijing Institute for Brain Disorders, Beijing, China
- * E-mail: (WZW); (YLW)
| | - Wenzhi Wang
- Department of Neuroepidemiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
- * E-mail: (WZW); (YLW)
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Chen LY, Norby FL, Chamberlain AM, MacLehose RF, Bengtson LGS, Lutsey PL, Alonso A. CHA 2DS 2-VASc Score and Stroke Prediction in Atrial Fibrillation in Whites, Blacks, and Hispanics. Stroke 2018; 50:28-33. [PMID: 30580712 DOI: 10.1161/strokeaha.118.021453] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose- Despite modest predictive ability for ischemic stroke (IS), the CHA2DS2-VASc score is widely used for stroke prediction in atrial fibrillation. Among patients with atrial fibrillation, we aimed to (1) compare the IS or transient ischemic attack (TIA) incidence by CHA2DS2-VASc in blacks and Hispanics versus whites; (2) compare predictive ability of CHA2DS2-VASc score for IS or TIA in blacks and Hispanics versus whites; and (3) determine improvement in predictive ability of CHA2DS2-VASc score from addition of race/ethnicity. Methods- Using data from Optum Clinformatics, a large administrative claims database, we analyzed patients with atrial fibrillation enrolled in commercial and Medicare Advantage health plans from 2009 to 2015. We computed IS or TIA incidence rates, improvement in C statistic, continuous and categorical net reclassification improvement, and relative integrated discrimination improvement from addition of race/ethnicity to CHA2DS2-VASc. Results- A total of 267 419 patients (mean age, 73.1 [SD, 12.3] years; 46.6% women; 84.2% white, 8.5% black, 7.3% Hispanic) were studied. After a mean follow-up of 22 months, there were 6202 IS or TIA events. IS or TIA incidence rates were higher in blacks than Hispanics or whites (1.65, 1.40, and 1.22 cases per 100 person-years, respectively) and increased with higher CHA2DS2-VASc, with no race/ethnicity-based differences (P for interaction=0.17). The CHA2DS2-VASc and CHA2DS2-VASc+race/ethnicity C statistic (95% CI) were 0.679 (0.670-0.686) and 0.679 (0.671-0.688). The CHA2DS2-VASc C statistic in the 3 groups were comparable. With addition of race/ethnicity, the categorical net reclassification improvement, continuous net reclassification improvement, and relative integrated discrimination improvement were -0.045 (95% CI, -0.067 to -0.025), 0.045 (95% CI, 0.025-0.068), and 0.016 (95% CI, 0.014-0.018). Conclusions- The predictive ability of CHA2DS2-VASc for IS or TIA in atrial fibrillation is comparable among whites, blacks, and Hispanics; hence, it can be used in the latter 2 groups. Addition of race/ethnicity to the CHA2DS2-VASc does not improve its predictive ability.
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Affiliation(s)
- Lin Y Chen
- From the Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis (L.Y.C.)
| | - Faye L Norby
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., R.F.M., P.L.L.)
| | - Alanna M Chamberlain
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN (A.M.C.)
| | - Richard F MacLehose
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., R.F.M., P.L.L.)
| | - Lindsay G S Bengtson
- Health Economics and Outcomes Research, Life Sciences, Optum, Eden Prairie, MN (L.G.S.B.)
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N., R.F.M., P.L.L.)
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
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Ostroumova OD, Cherniaeva MS, Petrova MM, Golovina OV. Orthostatic Hypotension: Definition, Pathophysiology, Classification, Prognostic Aspects, Diagnostics and Treatment. RATIONAL PHARMACOTHERAPY IN CARDIOLOGY 2018. [DOI: 10.20996/1819-6446-2018-14-5-747-756] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Affiliation(s)
- O. D. Ostroumova
- A.I. Evdokimov Moscow State University of Medicine and Dentistry; I.M. Sechenov First Moscow State Medical University (Sechenov University)
| | - M. S. Cherniaeva
- Central State Medical Academy of Administrative Department of the President of the Russian Federation
| | - M. M. Petrova
- Krasnoyarsk State Medical University named after Prof. V.F. Voino-Yasenetsky
| | - O. V. Golovina
- Russian Medical Academy of Continuous Professional Education
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168
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Bansal N, Zelnick LR, Himmelfarb J, Chertow GM. Bioelectrical Impedance Analysis Measures and Clinical Outcomes in CKD. Am J Kidney Dis 2018; 72:662-672. [PMID: 29885923 DOI: 10.1053/j.ajkd.2018.03.030] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 03/27/2018] [Indexed: 11/11/2022]
Abstract
RATIONALE & OBJECTIVE Bioelectrical impedance analysis (BIA) provides a noninvasive assessment of body composition. BIA measures of cell integrity (phase angle) and hydration (vector length) have been associated with mortality among patients receiving dialysis. Whether these measures are associated with clinical outcomes in patients with chronic kidney disease (CKD) is unknown. STUDY DESIGN Observational study. SETTINGS & PARTICIPANTS We studied 3,751 participants with CKD in the prospective multicenter Chronic Renal Insufficiency Cohort (CRIC) who had baseline single-frequency BIA performed. PREDICTORS Predictors included phase angle and vector length, which were calculated from measurements of resistance and reactance from BIA. We ranked phase angle and vector length into quartiles and compared the 2 narrower quartiles of phase angle and shorter quartiles of vector length with the 2 upper quartiles. OUTCOMES Mortality, heart failure, atherosclerotic cardiovascular disease, and progression of CKD (30% decline in estimated glomerular filtration rate or end-stage kidney disease). ANALYTIC APPROACH We tested associations of phase angle and vector length with risks for mortality and progression of CKD using Cox proportional hazard models and the association with heart failure and atherosclerotic cardiovascular disease using Fine and Gray models. All models were adjusted for demographics, comorbid conditions, and kidney function. RESULTS Mean phase angle and vector length were 6.6°±1.8° and 470 ± 96 Ω/m, respectively. Relative to phase angle ≥ 6.40o, narrower phase angle (<5.59o) was significantly associated with mortality (HR, 1.31; 95% CI, 1.09-1.58). Relative to vector length ≥ 459 Ω/m, shorter vector length (<401 Ω/m) was significantly associated with heart failure (HR, 1.28; 95% CI, 1.01-1.61). Neither measure was associated with atherosclerotic cardiovascular disease or a composite renal end point. LIMITATIONS Observational study. CONCLUSIONS Adjusted for key confounders, BIA-derived measures of cellular integrity and tissue hydration were significantly associated with death and incident heart failure, respectively.
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Affiliation(s)
- Nisha Bansal
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA.
| | - Leila R Zelnick
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA
| | - Jonathan Himmelfarb
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA
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Knopman DS, Gottesman RF, Sharrett AR, Tapia AL, DavisThomas S, Windham BG, Coker L, Schneider ALC, Alonso A, Coresh J, Albert MS, Mosley TH. Midlife vascular risk factors and midlife cognitive status in relation to prevalence of mild cognitive impairment and dementia in later life: The Atherosclerosis Risk in Communities Study. Alzheimers Dement 2018; 14:1406-1415. [PMID: 29763593 PMCID: PMC6231996 DOI: 10.1016/j.jalz.2018.03.011] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 02/14/2018] [Accepted: 03/31/2018] [Indexed: 01/01/2023]
Abstract
INTRODUCTION The interplay between midlife vascular risk factors and midlife cognitive function with later life mild cognitive impairment (MCI) and dementia (DEM) is not well understood. METHODS In the Atherosclerosis Risk in Communities Study, cardiovascular risk factors and cognition were assessed in midlife, ages 45-64 years. In 2011-2013, 20-25 years later, all consenting Atherosclerosis Risk in Communities participants underwent a cognitive and neurological evaluation and were given adjudicated diagnoses of cognitively normal, MCI, or DEM. RESULTS In 5995 participants with complete covariate data, midlife diabetes, hypertension, obesity, and hypercholesterolemia were associated with late-life MCI and DEM. Low midlife cognition function was also associated with greater likelihood of late-life MCI or DEM. Both midlife vascular risk factors and midlife cognitive function remained associated with later life MCI or DEM when both were in the model. DISCUSSION Later life MCI and DEM were independently associated with midlife vascular risk factors and midlife cognition.
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Affiliation(s)
| | - Rebecca F Gottesman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - A Richey Sharrett
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Amanda L Tapia
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sonia DavisThomas
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - B Gwen Windham
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Laura Coker
- Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston-Salem, NC, USA
| | - Andrea L C Schneider
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
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170
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Bansal N, Xie D, Sha D, Appel LJ, Deo R, Feldman HI, He J, Jamerson K, Kusek JW, Messe S, Navaneethan SD, Rahman M, Ricardo AC, Soliman EZ, Townsend R, Go AS. Cardiovascular Events after New-Onset Atrial Fibrillation in Adults with CKD: Results from the Chronic Renal Insufficiency Cohort (CRIC) Study. J Am Soc Nephrol 2018; 29:2859-2869. [PMID: 30377231 DOI: 10.1681/asn.2018050514] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 09/03/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Atrial fibrillation (AF), the most common sustained arrhythmia in CKD, is associated with poor clinical outcomes in both patients without CKD and patients with dialysis-treated ESRD. However, less is known about AF-associated outcomes in patients with CKD who do not require dialysis. METHODS To prospectively examine the association of new-onset AF with subsequent risks of cardiovascular disease events and death among adults with CKD, we studied participants enrolled in the Chronic Renal Insufficiency Cohort Study who did not have AF at baseline. Outcomes included heart failure, myocardial infarction, stroke, and death occurring after diagnosis of AF. We used Cox regression models and marginal structural models to examine the association of incident AF with subsequent risk of cardiovascular disease events and death, adjusting for patient characteristics, laboratory values, and medication use. RESULTS Among 3080 participants, 323 (10.5%) developed incident AF during a mean 6.1 years of follow-up. Compared with participants who did not develop AF, those who did had higher adjusted rates of heart failure (hazard ratio [HR], 5.17; 95% confidence interval [95% CI], 3.89 to 6.87), myocardial infarction (HR, 3.64; 95% CI, 2.50 to 5.31), stroke (HR, 2.66; 95% CI, 1.50 to 4.74), and death (HR, 3.30; 95% CI, 2.65 to 4.12). These associations remained robust with additional adjustment for biomarkers of inflammation, cardiac stress, and mineral metabolism; left ventricular mass; ejection fraction; and left atrial diameter. CONCLUSIONS Incident AF is independently associated with two- to five-fold increased rates of developing subsequent heart failure, myocardial infarction, stroke, or death in adults with CKD. These findings have important implications for cardiovascular risk reduction.
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Affiliation(s)
- Nisha Bansal
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington;
| | - Dawei Xie
- Departments of Medicine and Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Daohang Sha
- Departments of Medicine and Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Lawrence J Appel
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Rajat Deo
- Departments of Medicine and Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Harold I Feldman
- Departments of Medicine and Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jiang He
- Department of Medicine, Tulane University, New Orleans, Louisiana
| | - Kenneth Jamerson
- Department of Medicine, University of Michigan, Ann Arbor, Michigan
| | - John W Kusek
- National Institutes of Health, Bethesda, Maryland
| | - Steven Messe
- Departments of Medicine and Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Mahboob Rahman
- Department of Medicine, University Hospitals, Case Western Reserve University, Cleveland, Ohio
| | | | - Elsayed Z Soliman
- Department of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Raymond Townsend
- Departments of Medicine and Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Alan S Go
- Kaiser Permanente Northern California, Oakland, California.,Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California; and.,Department of Health Research and Policy, Stanford University, Stanford, California
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Magnani JW, Norby FL, Agarwal SK, Soliman EZ, Chen LY, Loehr LR, Alonso A. Racial Differences in Atrial Fibrillation-Related Cardiovascular Disease and Mortality: The Atherosclerosis Risk in Communities (ARIC) Study. JAMA Cardiol 2018; 1:433-41. [PMID: 27438320 DOI: 10.1001/jamacardio.2016.1025] [Citation(s) in RCA: 108] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE The adverse outcomes associated with atrial fibrillation (AF) have been studied in predominantly white cohorts. Racial differences in outcomes associated with AF merit continued investigation. OBJECTIVE To evaluate the race-specific associations of AF with stroke, heart failure, coronary heart disease (CHD), and all-cause mortality in a community-based cohort. DESIGN, SETTING, AND PARTICIPANTS The Atherosclerosis Risk in Communities (ARIC) Study is a prospective, observational cohort. From 1987 through 1989, the ARIC Study enrolled 15 792 men and women and conducted 4 follow-up examinations (2011-2013) with active surveillance for vital status and hospitalizations. Race was determined by self-report and categorized as white, black, or other. MAIN OUTCOMES AND MEASURES Atrial fibrillation (adjudicated using electrocardiograms, hospital discharge codes, and death certificates), stroke, heart failure, CHD, and mortality. RESULTS After exclusions, 15 080 participants (mean [SD] age, 54.2 [5.8] years; 8290 women [55.5%]; 3831 black individuals [25.4%]) were included in this analysis. During a mean (SD) follow-up of 20.6 (6.2) years, there were 2348 cases of incident AF. The incident rates of AF per 1000 person-years were 8.1 (95% CI, 7.7-8.5) in white individuals and 5.8 (95% CI, 5.2-6.3) in black individuals. The rates of stroke, heart failure, CHD, and mortality were higher in black individuals with AF than white individuals with AF. The association of AF with these outcomes, estimated with rate differences (rate of the end point in those with AF minus the rate in those without AF per 1000 person-years), also differed by race. The rate difference for stroke in individuals with AF was 10.2 (95% CI, 6.6-13.9) in white individuals and 21.4 (95% CI, 10.2-32.6) in black individuals. For heart failure and CHD, the rate differences were 1.5- to 2.0-fold higher in black individuals than white individuals. White individuals with AF had a rate difference of 55.9 (95% CI, 48.1-63.7) for mortality compared with black individuals, who had a rate difference of 106.0 (95% CI, 86.0-125.9). CONCLUSIONS AND RELEVANCE In the prospective ARIC Study, the outcome of AF on the rates of stroke, heart failure, CHD, and mortality was considerably larger in black individuals than white individuals. These results indicate the vulnerability and increased risk in black individuals with AF. Continued investigation of racial differences in AF and its related adverse outcomes are essential to identify and mitigate racial disparities in the treatment of AF.
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Affiliation(s)
- Jared W Magnani
- Cardiology Section, Whitaker Cardiovascular Institute, Evans Department of Medicine, Boston University School of Medicine, Boston, Massachusetts2currently with the Department of Medicine, Division of Cardiology, University of Pittsburgh Medical Center Hea
| | - Faye L Norby
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - Sunil K Agarwal
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Elsayed Z Soliman
- Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Lin Y Chen
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis
| | - Laura R Loehr
- Department of Epidemiology, University of North Carolina, Chapel Hill
| | - Alvaro Alonso
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
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Association of monocyte myeloperoxidase with incident cardiovascular disease: The Atherosclerosis Risk in Communities Study. PLoS One 2018; 13:e0205310. [PMID: 30300402 PMCID: PMC6177167 DOI: 10.1371/journal.pone.0205310] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 09/21/2018] [Indexed: 12/21/2022] Open
Abstract
Myeloperoxidase (MPO) is a heme-containing peroxidase found in azurophilic granules of neutrophils and monocytes. Epidemiological studies have reported greater plasma MPO concentration to be associated with increased incidence of several cardiovascular diseases (CVD), but the association of intracellular monocyte MPO (mMPO) with CVD is unclear. The prospective population-based Atherosclerosis Risk in Communities (ARIC) cohort study measured mMPO using flow cytometry in 1,465 participants. The association of mMPO with incident cardiovascular disease (CVD, comprising incident coronary heart disease (CHD), heart failure, stroke, peripheral artery disease, and cardiovascular mortality) was examined over a median 9.6 years of follow-up (n = 290 CVD events). There was no statistically significant association between mMPO and all incident CVD events in either age, sex, and race-adjusted proportional hazards models (HR (95% CI) across tertiles of mMPO: 1, 1.09 (0.76, 1.57), and 0.78 (0.52, 1.15), P-trend = 0.21) or adjusted for other major CVD risk factors (HR (95% CI): 1, 1.17 (0.81, 1.69), and 0.87 (0.58, 1.29), P-trend = 0.50). There also was no association between mMPO tertiles and incident CHD, heart failure, or all-cause mortality, examined separately. In conclusion, intracellular monocyte myeloperoxidase was not associated with incident cardiovascular disease in this prospective population-based study.
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173
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Albright KC, Huang L, Blackburn J, Howard G, Mullen M, Bittner V, Muntner P, Howard V. Racial differences in recurrent ischemic stroke risk and recurrent stroke case fatality. Neurology 2018; 91:e1741-e1750. [PMID: 30282770 DOI: 10.1212/wnl.0000000000006467] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Accepted: 07/26/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine black-white differences in 1-year recurrent stroke and 30-day case fatality after a recurrent stroke in older US adults. METHODS We conducted a retrospective cohort study using a 5% random sample of Medicare beneficiaries with fee-for-service health insurance coverage who were hospitalized for ischemic stroke between 1999 and 2013. Hazard ratios for recurrent ischemic stroke and risk ratios for 30-day case fatality comparing blacks to whites were calculated with adjustment for demographics, risk factors, and competing risk of death when appropriate. RESULTS Among 128,789 Medicare beneficiaries having an ischemic stroke (mean age 80 years [SD 8 years], 60.4% male), 11.1% were black. The incidence rate of recurrent ischemic stroke per 1,000 person-years for whites and blacks was 108 (95% confidence interval [CI], 106-111) and 154 (95% CI 147-162) , respectively. The multivariable-adjusted hazard ratio for recurrent stroke among blacks compared with whites was 1.36 (95% CI 1.29-1.44). The case fatality after recurrent stroke for blacks and whites was 21% (95% CI 21%-22%) and 16% (95% CI 15%-18%), respectively. The multivariable-adjusted relative risk for mortality within 30 days of a recurrent stroke among blacks compared with whites was 0.82 (95% CI 0.73-0.93). CONCLUSION The risk of stroke recurrence among older Americans hospitalized for ischemic stroke is higher for blacks compared to whites, while 30-day case fatality after recurrent stroke remains lower for blacks.
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Affiliation(s)
- Karen C Albright
- From the Departments of Epidemiology (K.C.A., L.H., P.M., V.H.), Health Care Organization and Policy (J.B.), Biostatistics (G.H.), and Medicine (V.B.), University of Alabama at Birmingham; Geriatric Research, Education and Clinical Center (K.C.A.), Birmingham VA Medical Center, AL; and Department of Neurology (M.M.), University of Pennsylvania, Philadelphia.
| | - Lei Huang
- From the Departments of Epidemiology (K.C.A., L.H., P.M., V.H.), Health Care Organization and Policy (J.B.), Biostatistics (G.H.), and Medicine (V.B.), University of Alabama at Birmingham; Geriatric Research, Education and Clinical Center (K.C.A.), Birmingham VA Medical Center, AL; and Department of Neurology (M.M.), University of Pennsylvania, Philadelphia
| | - Justin Blackburn
- From the Departments of Epidemiology (K.C.A., L.H., P.M., V.H.), Health Care Organization and Policy (J.B.), Biostatistics (G.H.), and Medicine (V.B.), University of Alabama at Birmingham; Geriatric Research, Education and Clinical Center (K.C.A.), Birmingham VA Medical Center, AL; and Department of Neurology (M.M.), University of Pennsylvania, Philadelphia
| | - George Howard
- From the Departments of Epidemiology (K.C.A., L.H., P.M., V.H.), Health Care Organization and Policy (J.B.), Biostatistics (G.H.), and Medicine (V.B.), University of Alabama at Birmingham; Geriatric Research, Education and Clinical Center (K.C.A.), Birmingham VA Medical Center, AL; and Department of Neurology (M.M.), University of Pennsylvania, Philadelphia
| | - Michael Mullen
- From the Departments of Epidemiology (K.C.A., L.H., P.M., V.H.), Health Care Organization and Policy (J.B.), Biostatistics (G.H.), and Medicine (V.B.), University of Alabama at Birmingham; Geriatric Research, Education and Clinical Center (K.C.A.), Birmingham VA Medical Center, AL; and Department of Neurology (M.M.), University of Pennsylvania, Philadelphia
| | - Vera Bittner
- From the Departments of Epidemiology (K.C.A., L.H., P.M., V.H.), Health Care Organization and Policy (J.B.), Biostatistics (G.H.), and Medicine (V.B.), University of Alabama at Birmingham; Geriatric Research, Education and Clinical Center (K.C.A.), Birmingham VA Medical Center, AL; and Department of Neurology (M.M.), University of Pennsylvania, Philadelphia
| | - Paul Muntner
- From the Departments of Epidemiology (K.C.A., L.H., P.M., V.H.), Health Care Organization and Policy (J.B.), Biostatistics (G.H.), and Medicine (V.B.), University of Alabama at Birmingham; Geriatric Research, Education and Clinical Center (K.C.A.), Birmingham VA Medical Center, AL; and Department of Neurology (M.M.), University of Pennsylvania, Philadelphia
| | - Virginia Howard
- From the Departments of Epidemiology (K.C.A., L.H., P.M., V.H.), Health Care Organization and Policy (J.B.), Biostatistics (G.H.), and Medicine (V.B.), University of Alabama at Birmingham; Geriatric Research, Education and Clinical Center (K.C.A.), Birmingham VA Medical Center, AL; and Department of Neurology (M.M.), University of Pennsylvania, Philadelphia
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174
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Witt LS, Rotter J, Stearns SC, Gottesman RF, Kucharska-Newton AM, Richey Sharrett A, Wruck LM, Bressler J, Sueta CA, Chang PP. Heart Failure and Cognitive Impairment in the Atherosclerosis Risk in Communities (ARIC) Study. J Gen Intern Med 2018; 33:1721-1728. [PMID: 30030736 PMCID: PMC6153245 DOI: 10.1007/s11606-018-4556-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Revised: 03/26/2018] [Accepted: 06/27/2018] [Indexed: 01/01/2023]
Abstract
BACKGROUND Previous studies suggest that heart failure (HF) is an independent risk factor for cognitive decline. A better understanding of the relationship between HF, cognitive status, and cognitive decline in a community-based sample may help clinicians understand disease risk. OBJECTIVE To examine whether persons with HF have a higher prevalence of cognitive impairment and whether persons developing HF have more rapid cognitive decline. DESIGN This observational cohort study of American adults in the Atherosclerosis Risk in Communities (ARIC) study has two components: cross-sectional analysis examining the association between prevalent HF and cognition using multinomial logistic regression, and change over time analysis detailing the association between incident HF and change in cognition over 15 years. PARTICIPANTS Among visit 5 (2011-2013) participants (median age 75 years), 6495 had neurocognitive information available for cross-sectional analysis. Change over time analysis examined the 5414 participants who had cognitive scores and no prevalent HF at visit 4 (1996-1998). MEASUREMENTS The primary outcome was cognitive status, classified as normal, mild cognitive impairment [MCI], and dementia on the basis of standardized cognitive tests (delayed word recall, word fluency, and digit symbol substitution). Cognitive change was examined over a 15-year period. Control variables included socio-demographic, vascular, and smoking/drinking measures. RESULTS At visit 5, participants with HF had a higher prevalence of dementia (adjusted relative risk ratio [RRR] = 1.60 [95% CI 1.13, 2.25]) and MCI (RRR = 1.36 [1.12, 1.64]) than those without HF. A decline in cognition between visits 4 and 5 was - 0.07 standard deviation units [- 0.13, - 0.01] greater among persons who developed HF compared to those who did not. Results did not differ by ejection fraction. CONCLUSION HF is associated with neurocognitive dysfunction and decline independent of other co-morbid conditions. Further study is needed to determine the underlying pathophysiology.
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Affiliation(s)
- Lucy S Witt
- Department of Hospital Medicine, Atlanta Veterans Affairs Medical Center, Decatur, GA, USA.
| | - Jason Rotter
- Department of Health Policy & Management, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sally C Stearns
- Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca F Gottesman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anna M Kucharska-Newton
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - A Richey Sharrett
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lisa M Wruck
- Duke Clinical Research Institute, Duke University, Durham, NC, USA
| | - Jan Bressler
- Human Genetics, and Environmental Sciences, University of Texas Health School of Public Health Department of Epidemiology, Austin, TX, USA
| | - Carla A Sueta
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Patricia P Chang
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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175
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Norby FL, Chen LY, Soliman EZ, Gottesman RF, Mosley TH, Alonso A. Association of left ventricular hypertrophy with cognitive decline and dementia risk over 20 years: The Atherosclerosis Risk In Communities-Neurocognitive Study (ARIC-NCS). Am Heart J 2018; 204:58-67. [PMID: 30077834 PMCID: PMC6214738 DOI: 10.1016/j.ahj.2018.07.007] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Accepted: 07/08/2018] [Indexed: 01/21/2023]
Abstract
BACKGROUND Left ventricular hypertrophy (LVH) is an indicator of organ damage largely due to hypertension. We assessed whether LVH was associated with dementia and cognitive function in the Atherosclerosis Risk in Communities study. METHODS Our analysis included 12,665 individuals (23% black race, 56% female, mean age 57) who attended visit 2 in 1990-1992. Cornell voltage (SV3 + RaVL) was derived from 12-lead electrocardiograms and dichotomized as LVH using sex-specific criteria (>28 mm men; >22 mm women). Incident dementia was defined by expert review using a predetermined algorithm, and cognitive function was measured longitudinally using 3 tests. A Cox model was used to evaluate the association between time-dependent LVH and dementia adjusted for time-varying covariates from 1990 to 2013. Linear regression models fit with generalized estimating equations were used to evaluate LVH with cognitive function. RESULTS During a mean follow-up of 18 years, we identified 544 participants with LVH and 1,195 dementia cases. LVH was associated with a higher risk of dementia: multivariable hazard ratio = 1.90; 95% CI: 1.47-2.44. Those with LVH had lower cognitive scores at baseline; however, there was no difference in the rate of cognitive decline over 20 years in those with LVH versus those without LVH. CONCLUSIONS In this population-based study, LVH measured during midlife was associated with an increased risk of incident dementia; however, LVH was not associated with additional cognitive decline. These results underscore the need for hypertension control to prevent subclinical brain injury.
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Affiliation(s)
- Faye L Norby
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
| | - Lin Y Chen
- Cardiac Arrhythmia Center, Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
| | - Elsayed Z Soliman
- Department of Epidemiology, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC
| | - Rebecca F Gottesman
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi, Jackson, MS
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
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English SW, McIntyre L, Saigle V, Chassé M, Fergusson DA, Turgeon AF, Lauzier F, Griesdale D, Garland A, Zarychanski R, Algird A, van Walraven C. The Ottawa SAH search algorithms: protocol for a multi- centre validation study of primary subarachnoid hemorrhage prediction models using health administrative data (the SAHepi prediction study protocol). BMC Med Res Methodol 2018; 18:94. [PMID: 30219029 PMCID: PMC6139177 DOI: 10.1186/s12874-018-0553-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Accepted: 08/31/2018] [Indexed: 01/07/2023] Open
Abstract
Background Conducting prospective epidemiological studies of hospitalized patients with rare diseases like primary subarachnoid hemorrhage (pSAH) are difficult due to time and budgetary constraints. Routinely collected administrative data could remove these barriers. We derived and validated 3 algorithms to identify hospitalized patients with a high probability of pSAH using administrative data. We aim to externally validate their performance in four hospitals across Canada. Methods Eligible patients include those ≥18 years of age admitted to these centres from January 1, 2012 to December 31, 2013. We will include patients whose discharge abstracts contain predictive variables identified in the models (ICD-10-CA diagnostic codes I60** (subarachnoid hemorrhage), I61** (intracranial hemorrhage), 162** (other nontrauma intracranial hemorrhage), I67** (other cerebrovascular disease), S06** (intracranial injury), G97 (other postprocedural nervous system disorder) and CCI procedural codes 1JW51 (occlusion of intracranial vessels), 1JE51 (carotid artery inclusion), 3JW10 (intracranial vessel imaging), 3FY20 (CT scan (soft tissue of neck)), and 3OT20 (CT scan (abdominal cavity)). The algorithms will be applied to each patient and the diagnosis confirmed via chart review. We will assess each model’s sensitivity, specificity, negative and positive predictive value across the sites. Discussion Validating the Ottawa SAH Prediction Algorithms will provide a way to accurately identify large SAH cohorts, thereby furthering research and altering care.
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Affiliation(s)
- S W English
- Department of Medicine (Critical Care), University of Ottawa, Ottawa, ON, K1Y 4E9, Canada. .,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
| | - L McIntyre
- Department of Medicine (Critical Care), University of Ottawa, Ottawa, ON, K1Y 4E9, Canada.,Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - V Saigle
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - M Chassé
- Department of Medicine, Division of Critical Care, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada
| | - D A Fergusson
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - A F Turgeon
- Centre de recherche du CHU de Québec, Population Health and Optimal Health Practices Research Unit (Trauma - Emergency - Critical Care Medicine), Université Laval, Québec City, QC, Canada.,Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, Québec City, QC, Canada
| | - F Lauzier
- Centre de recherche du CHU de Québec, Population Health and Optimal Health Practices Research Unit (Trauma - Emergency - Critical Care Medicine), Université Laval, Québec City, QC, Canada.,Department of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, Université Laval, Québec City, QC, Canada.,Centre de recherche du Centre Hospitalier de l'Université de Québec, Université Laval, Québec City, QC, Canada
| | - D Griesdale
- Deparment of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, Canada
| | - A Garland
- Department of Internal Medicine, Sections of Critical Care and Respirology, University of Manitoba, Winnipeg, MB, Canada
| | - R Zarychanski
- Department of Internal Medicine, Sections of Critical Care and Hematology/Medical Oncology, University of Manitoba, Winnipeg, MB, Canada
| | - A Algird
- Department of Neurosurgy, McMaster University, Hamilton Health Sciences, Hamilton, ON, Canada
| | - C van Walraven
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.,Department of Medicine, University of Ottawa, Ottawa, Canada
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177
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Silvestre OM, Nadruz W, Querejeta Roca G, Claggett B, Solomon SD, Mirabelli MC, London SJ, Loehr LR, Shah AM. Declining Lung Function and Cardiovascular Risk: The ARIC Study. J Am Coll Cardiol 2018; 72:1109-1122. [PMID: 30165982 PMCID: PMC6121739 DOI: 10.1016/j.jacc.2018.06.049] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 06/18/2018] [Indexed: 01/09/2023]
Abstract
BACKGROUND Pulmonary dysfunction predicts incident cardiovascular disease (CVD). OBJECTIVES The purpose of this study was to evaluate whether longitudinal decline in lung function is associated with incident heart failure (HF), coronary heart disease (CHD), and stroke. METHODS Among 10,351 participants in the ARIC (Atherosclerosis Risk In Communities) study free of CVD, rapid lung function decline was defined as the greatest quartile (n = 2,585) of decline in either forced expiratory volume in 1 s (FEV1) (>1.9% decline/year) or forced vital capacity (FVC) (>2.1% decline/year) over 2.9 ± 0.2 years. The relationship between rapid decline in FEV1 or FVC and subsequent incident HF, CHD, stroke, or a composite of these was assessed using multivariable Cox regression adjusting for the baseline spirometry value, demographics, height, body mass index, heart rate, diabetes, hypertension, low-density lipoprotein, use of lipid-lowering medication, N-terminal fragment of prohormone for B-type natriuretic peptide, and smoking. RESULTS The mean age was 54 ± 6 years, 56% were women, and 81% were white. At 17 ± 6 years of follow-up, HF occurred in 14%, CHD 11%, stroke 6%, and the composite in 24%. Rapid decline in FEV1 and in FVC were both associated with a heightened risk of incident HF (hazard ratio [HR]: 1.17; 95% confidence interval [CI]: 1.04 to 1.33; p = 0.010; and HR: 1.27; 95% CI: 1.12 to 1.44; p < 0.001; respectively), with rapid decline in FEV1 most prognostic in the first year of follow-up (HR: 4.22; 95% CI: 1.34 to 13.26; p = 0.01). Rapid decline in FEV1 was also associated with incident stroke (HR: 1.25; 95% CI: 1.04 to 1.50; p = 0.015). CONCLUSIONS A rapid decline in lung function, assessed by serial spirometry, is associated with a higher incidence of subsequent CVD, particularly incident HF.
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Affiliation(s)
- Odilson M Silvestre
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts; Department of Internal Medicine, Federal University of Acre, Rio Branco, Acre, Brazil
| | - Wilson Nadruz
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts; Department of Internal Medicine, University of Campinas, Campinas, Brazil
| | | | - Brian Claggett
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Scott D Solomon
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina
| | - Laura R Loehr
- Gillings School of Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Amil M Shah
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
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178
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Selvin E, Wang D, Matsushita K, Grams ME, Coresh J. Prognostic Implications of Single-Sample Confirmatory Testing for Undiagnosed Diabetes: A Prospective Cohort Study. Ann Intern Med 2018; 169:156-164. [PMID: 29913486 PMCID: PMC6082697 DOI: 10.7326/m18-0091] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Background Current clinical definitions of diabetes require repeated blood work to confirm elevated levels of glucose or hemoglobin A1c (HbA1c) to reduce the possibility of a false-positive diagnosis. Whether 2 different tests from a single blood sample provide adequate confirmation is uncertain. Objective To examine the prognostic performance of a single-sample confirmatory definition of undiagnosed diabetes. Design Prospective cohort study. Setting The ARIC (Atherosclerosis Risk in Communities) study. Participants 13 346 ARIC participants (12 268 without diagnosed diabetes) with 25 years of follow-up for incident diabetes, cardiovascular outcomes, kidney disease, and mortality. Measurements Confirmed undiagnosed diabetes was defined as elevated levels of fasting glucose (≥7.0 mmol/L [≥126 mg/dL]) and HbA1c (≥6.5%) from a single blood sample. Results Among 12 268 participants without diagnosed diabetes, 978 had elevated levels of fasting glucose or HbA1c at baseline (1990 to 1992). Among these, 39% had both (confirmed undiagnosed diabetes), whereas 61% had only 1 elevated measure (unconfirmed undiagnosed diabetes). The confirmatory definition had moderate sensitivity (54.9%) but high specificity (98.1%) for identification of diabetes cases diagnosed during the first 5 years of follow-up, with specificity increasing to 99.6% by 15 years. The 15-year positive predictive value was 88.7% compared with 71.1% for unconfirmed cases. Confirmed undiagnosed diabetes was significantly associated with cardiovascular and kidney disease and mortality, with stronger associations than unconfirmed diabetes. Limitation Lack of repeated measurements of fasting glucose and HbA1c. Conclusion A single-sample confirmatory definition of diabetes had a high positive predictive value for subsequent diagnosis and was strongly associated with clinical end points. Our results support the clinical utility of using a combination of elevated fasting glucose and HbA1c levels from a single blood sample to identify undiagnosed diabetes in the population. Primary Funding Source National Institute of Diabetes and Digestive and Kidney Diseases and National Heart, Lung, and Blood Institute.
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Affiliation(s)
- Elizabeth Selvin
- Johns Hopkins Bloomberg School of Public Health and Johns Hopkins University, Baltimore, Maryland (E.S., D.W., K.M., M.E.G., J.C.)
| | - Dan Wang
- Johns Hopkins Bloomberg School of Public Health and Johns Hopkins University, Baltimore, Maryland (E.S., D.W., K.M., M.E.G., J.C.)
| | - Kunihiro Matsushita
- Johns Hopkins Bloomberg School of Public Health and Johns Hopkins University, Baltimore, Maryland (E.S., D.W., K.M., M.E.G., J.C.)
| | - Morgan E Grams
- Johns Hopkins Bloomberg School of Public Health and Johns Hopkins University, Baltimore, Maryland (E.S., D.W., K.M., M.E.G., J.C.)
| | - Josef Coresh
- Johns Hopkins Bloomberg School of Public Health and Johns Hopkins University, Baltimore, Maryland (E.S., D.W., K.M., M.E.G., J.C.)
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179
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Rawlings AM, Juraschek SP, Heiss G, Hughes T, Meyer ML, Selvin E, Sharrett AR, Windham BG, Gottesman RF. Association of orthostatic hypotension with incident dementia, stroke, and cognitive decline. Neurology 2018; 91:e759-e768. [PMID: 30045960 DOI: 10.1212/wnl.0000000000006027] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 05/19/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To examine associations of orthostatic hypotension (OH) with dementia and long-term cognitive decline and to update previously published results in the same cohort for stroke with an additional 16 years of follow-up. METHODS We analyzed data from 11,709 participants without a history of coronary heart disease or stroke who attended the baseline examination (1987-1989) of the prospective Atherosclerosis Risk in Communities (ARIC) study. OH was defined as a drop in systolic blood pressure (BP) of at least 20 mm Hg or a drop in diastolic BP of at least 10 mm Hg on standing. Dementia was ascertained via examination, contact with participants or their proxy, or medical record surveillance. Ischemic stroke was ascertained via cohort surveillance of hospitalizations, cohort follow-up, and linkage with registries. Both outcomes were adjudicated. Cognitive function was ascertained via 3 neuropsychological tests administered in 1990 to 1992 and 1996 to 1998 and a full battery of tests in 2011 to 2013. Scores were summarized and reported as SDs. We used adjusted Cox regression and linear mixed models. RESULTS Over ≈25 years, 1,068 participants developed dementia and 842 had an ischemic stroke. Compared to persons without OH at baseline, those with OH had a higher risk of dementia (hazard ratio [HR] 1.54, 95% confidence interval [CI] 1.20-1.97) and ischemic stroke (HR 2.08, 95% CI 1.65-2.62). Persons with OH had greater, although nonsignificant, cognitive decline over 20 years (SD 0.09, 95% CI -0.02 to 0.21). CONCLUSIONS OH assessed in midlife was independently associated with incident dementia and ischemic stroke. Additional studies are needed to elucidate potential mechanisms for these associations and possible applications for prevention.
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Affiliation(s)
- Andreea M Rawlings
- From the Department of Epidemiology (A.M.R., S.P.J., E.S., A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; School of Biological and Population Health Sciences (A.M.R.), Oregon State University, Corvallis; Departments of Medicine (S.P.J.) and Neurology (R.F.G.), Johns Hopkins School of Medicine, Baltimore, MD; Harvard Medical School and Beth Israel Deaconess Medical Center (S.P.J.), Boston MA; Department of Epidemiology (G.H., M.L.M.), University of North Carolina at Chapel Hill; Department of Internal Medicine (T.M.H.), Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics (B.G.W.), Department of Medicine, University of Mississippi Medical Center, Jackson.
| | - Stephen P Juraschek
- From the Department of Epidemiology (A.M.R., S.P.J., E.S., A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; School of Biological and Population Health Sciences (A.M.R.), Oregon State University, Corvallis; Departments of Medicine (S.P.J.) and Neurology (R.F.G.), Johns Hopkins School of Medicine, Baltimore, MD; Harvard Medical School and Beth Israel Deaconess Medical Center (S.P.J.), Boston MA; Department of Epidemiology (G.H., M.L.M.), University of North Carolina at Chapel Hill; Department of Internal Medicine (T.M.H.), Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics (B.G.W.), Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Gerardo Heiss
- From the Department of Epidemiology (A.M.R., S.P.J., E.S., A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; School of Biological and Population Health Sciences (A.M.R.), Oregon State University, Corvallis; Departments of Medicine (S.P.J.) and Neurology (R.F.G.), Johns Hopkins School of Medicine, Baltimore, MD; Harvard Medical School and Beth Israel Deaconess Medical Center (S.P.J.), Boston MA; Department of Epidemiology (G.H., M.L.M.), University of North Carolina at Chapel Hill; Department of Internal Medicine (T.M.H.), Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics (B.G.W.), Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Timothy Hughes
- From the Department of Epidemiology (A.M.R., S.P.J., E.S., A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; School of Biological and Population Health Sciences (A.M.R.), Oregon State University, Corvallis; Departments of Medicine (S.P.J.) and Neurology (R.F.G.), Johns Hopkins School of Medicine, Baltimore, MD; Harvard Medical School and Beth Israel Deaconess Medical Center (S.P.J.), Boston MA; Department of Epidemiology (G.H., M.L.M.), University of North Carolina at Chapel Hill; Department of Internal Medicine (T.M.H.), Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics (B.G.W.), Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Michelle L Meyer
- From the Department of Epidemiology (A.M.R., S.P.J., E.S., A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; School of Biological and Population Health Sciences (A.M.R.), Oregon State University, Corvallis; Departments of Medicine (S.P.J.) and Neurology (R.F.G.), Johns Hopkins School of Medicine, Baltimore, MD; Harvard Medical School and Beth Israel Deaconess Medical Center (S.P.J.), Boston MA; Department of Epidemiology (G.H., M.L.M.), University of North Carolina at Chapel Hill; Department of Internal Medicine (T.M.H.), Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics (B.G.W.), Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Elizabeth Selvin
- From the Department of Epidemiology (A.M.R., S.P.J., E.S., A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; School of Biological and Population Health Sciences (A.M.R.), Oregon State University, Corvallis; Departments of Medicine (S.P.J.) and Neurology (R.F.G.), Johns Hopkins School of Medicine, Baltimore, MD; Harvard Medical School and Beth Israel Deaconess Medical Center (S.P.J.), Boston MA; Department of Epidemiology (G.H., M.L.M.), University of North Carolina at Chapel Hill; Department of Internal Medicine (T.M.H.), Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics (B.G.W.), Department of Medicine, University of Mississippi Medical Center, Jackson
| | - A Richey Sharrett
- From the Department of Epidemiology (A.M.R., S.P.J., E.S., A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; School of Biological and Population Health Sciences (A.M.R.), Oregon State University, Corvallis; Departments of Medicine (S.P.J.) and Neurology (R.F.G.), Johns Hopkins School of Medicine, Baltimore, MD; Harvard Medical School and Beth Israel Deaconess Medical Center (S.P.J.), Boston MA; Department of Epidemiology (G.H., M.L.M.), University of North Carolina at Chapel Hill; Department of Internal Medicine (T.M.H.), Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics (B.G.W.), Department of Medicine, University of Mississippi Medical Center, Jackson
| | - B Gwen Windham
- From the Department of Epidemiology (A.M.R., S.P.J., E.S., A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; School of Biological and Population Health Sciences (A.M.R.), Oregon State University, Corvallis; Departments of Medicine (S.P.J.) and Neurology (R.F.G.), Johns Hopkins School of Medicine, Baltimore, MD; Harvard Medical School and Beth Israel Deaconess Medical Center (S.P.J.), Boston MA; Department of Epidemiology (G.H., M.L.M.), University of North Carolina at Chapel Hill; Department of Internal Medicine (T.M.H.), Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics (B.G.W.), Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Rebecca F Gottesman
- From the Department of Epidemiology (A.M.R., S.P.J., E.S., A.R.S., R.F.G.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; School of Biological and Population Health Sciences (A.M.R.), Oregon State University, Corvallis; Departments of Medicine (S.P.J.) and Neurology (R.F.G.), Johns Hopkins School of Medicine, Baltimore, MD; Harvard Medical School and Beth Israel Deaconess Medical Center (S.P.J.), Boston MA; Department of Epidemiology (G.H., M.L.M.), University of North Carolina at Chapel Hill; Department of Internal Medicine (T.M.H.), Division of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC; and Division of Geriatrics (B.G.W.), Department of Medicine, University of Mississippi Medical Center, Jackson
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180
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Cardiovascular fat in women at midlife: effects of race, overall adiposity, and central adiposity. The SWAN Cardiovascular Fat Study. Menopause 2018; 25:38-45. [PMID: 28763398 DOI: 10.1097/gme.0000000000000945] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
OBJECTIVES Cardiovascular fat (CF) is associated with greater coronary heart disease (CHD) risk. Postmenopausal women have greater CF volumes than premenopausal women, and the association between specific CF depot volumes and CHD risk is more pronounced after menopause. Race, central adiposity, and visceral adiposity are important factors that could impact CF volumes. Whether racial differences in CF volumes and in their associations with central (visceral fat [VAT]) and general adiposity (body mass index [BMI]) exist in midlife women have not been addressed before. METHODS In all, 524 participants from the Study of Women's Health Across the Nation (mean age: 50.9 ± 2.9 years; 62% White and 38% Black) who had data on CF volumes (epicardial fat [EAT], paracardial fat [PAT], total heart fat, and aortic perivascular fat), VAT, and BMI were studied. RESULTS In models adjusted for age, study site, menopausal status, comorbid conditions, alcohol consumption, and physical activity, Black women had 19.8% less EAT, 24.5% less PAT, 20.4% less total heart fat, and 13.2% less perivascular fat than White women (all P < 0.001). These racial differences remained significant after additional adjustment for BMI or VAT. Race significantly modified associations between adiposity measures and CF volumes. Every 1-SD higher BMI was associated with 66.7% greater PAT volume in White compared with 42.4% greater PAT volume in Black women (P = 0.004), whereas every 1-SD higher VAT was associated with 32.3% greater EAT volume in Black compared with 25.3% greater EAT volume in White women (P = 0.039). CONCLUSIONS Racial differences were found in CF volumes and in their associations with adiposity measures among midlife women. Future research should determine how race-specific changes in CF volumes impact CHD risk in women.
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181
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Caughey MC, Qiao Y, Windham BG, Gottesman RF, Mosley TH, Wasserman BA. Carotid Intima-Media Thickness and Silent Brain Infarctions in a Biracial Cohort: The Atherosclerosis Risk in Communities (ARIC) Study. Am J Hypertens 2018; 31:869-875. [PMID: 29425278 PMCID: PMC6049000 DOI: 10.1093/ajh/hpy022] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 01/19/2018] [Accepted: 02/06/2018] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Both hypertensive and atherosclerotic processes contribute to common carotid artery intima-media thickness (CCA-IMT). Elevated CCA-IMT may be indicative of subclinical cerebrovascular disease; however, its role in the absence of concomitant carotid artery plaque is uncertain, and few studies have examined associations in Black populations. MATERIALS AND METHODS At cohort visit 3 (1993-1995) a subset of stroke-free participants (641 Blacks and 702 Whites, mean age 63) from the Atherosclerosis Risk in Communities (ARIC) study was imaged by brain MRI and carotid ultrasound. A CCA-IMT >0.9 mm was considered elevated. Asymptomatic brain lesions ≥3 mm were considered silent brain infarctions (SBI). Subcortical SBI measuring 3 to <20 mm were considered lacunes. Associations between elevated CCA-IMT and SBI were analyzed with Poisson regression. RESULTS Elevated CCA-IMT was identified in 168 participants (16% of Blacks, 10% of Whites), and SBI were observed in 156 (15% of Blacks, 8% of Whites). Elevated CCA-IMT was strongly related to anterior circulation SBI, posterior circulation SBI, and lacunes. After adjustments, elevated CCA-IMT remained associated with greater number of lacunes in Blacks ([prevalence ratio, PR] = 1.60; 95% confidence interval [CI]: 1.02-2.51), but not Whites (PR = 0.85; 95% CI: 0.35-2.04); P value for interaction = 0.12. Among Black participants without concomitant carotid plaque, elevated CCA-IMT was associated with twice the number of lacunes (PR = 2.00; 95% CI: 1.05-3.82). CONCLUSIONS In older Black adults, elevated CCA-IMT is independently associated with lipohyalinosis of the cerebral small vessels, irrespective of concomitant carotid plaque and vascular risk factors.
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Affiliation(s)
- Melissa C Caughey
- Department of Medicine, Division of Cardiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ye Qiao
- Department of Radiology, Johns Hopkins Medicine, Baltimore, Maryland, USA
| | - Beverly Gwen Windham
- Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | | | - Thomas H Mosley
- Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Bruce A Wasserman
- Department of Radiology, Johns Hopkins Medicine, Baltimore, Maryland, USA
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182
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Saeed A, Feofanova EV, Yu B, Sun W, Virani SS, Nambi V, Coresh J, Guild CS, Boerwinkle E, Ballantyne CM, Hoogeveen RC. Remnant-Like Particle Cholesterol, Low-Density Lipoprotein Triglycerides, and Incident Cardiovascular Disease. J Am Coll Cardiol 2018; 72:156-169. [PMID: 29976289 PMCID: PMC6051722 DOI: 10.1016/j.jacc.2018.04.050] [Citation(s) in RCA: 109] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 04/02/2018] [Accepted: 04/16/2018] [Indexed: 01/28/2023]
Abstract
BACKGROUND Hypertriglyceridemia is associated with increased remnant-like particle cholesterol (RLP-C) and triglycerides in low-density lipoprotein (LDL-TG). Recent studies have focused on atherogenicity of RLP-C, with few data on LDL-TG. OBJECTIVES The aim of this study was to examine associations of RLP-C and LDL-TG with incident cardiovascular disease (CVD) events and genetic variants in the ARIC (Atherosclerosis Risk In Communities) study. METHODS Fasting plasma RLP-C and LDL-TG levels were measured in 9,334 men and women without prevalent CVD. Participants were followed for incident CVD events (coronary heart disease and ischemic stroke) for up to 16 years. Associations between LDL-TG and RLP-C levels and genetic variants were assessed by whole-exome sequencing using single-variant analysis for common variants and gene-based burden tests for rare variants; both an unbiased and a candidate gene approach were explored. RESULTS RLP-C and LDL-TG levels were correlated with triglyceride levels (r = 0.85 and r = 0.64, p < 0.0001). In minimally adjusted analyses, RLP-C and LDL-TG were associated with CVD risk, but in models adjusted for traditional risk factors including lipids, only LDL-TG was associated with incident CHD (hazard ratio: 1.28; 95% confidence interval: 1.10 to 1.50) and stroke (hazard ratio: 1.47; 95% confidence interval: 1.13 to 1.92). A common APOE variant, rs7412, had the strongest association with LDL-TG and RLP-C (p < 5 × 10-8). CONCLUSIONS RLP-C and LDL-TG levels were predictive of CVD and associated with APOE variants. LDL-TG may represent a marker of dysfunctional remnant lipoprotein metabolism associated with increased CVD risk. Further research is needed to determine whether LDL-TG plays a causal role in CVD and may be a target for therapy.
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Affiliation(s)
- Anum Saeed
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Elena V Feofanova
- Human Genetics Center, The University of Texas School of Public Health, Houston, Texas
| | - Bing Yu
- Human Genetics Center, The University of Texas School of Public Health, Houston, Texas
| | - Wensheng Sun
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Salim S Virani
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | - Vijay Nambi
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas; Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | - Josef Coresh
- Department of Epidemiology, Biostatistics, and Medicine, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Cameron S Guild
- Department of Medicine, University of Mississippi School of Medicine, Jackson, Mississippi
| | - Eric Boerwinkle
- Human Genetics Center, The University of Texas School of Public Health, Houston, Texas
| | - Christie M Ballantyne
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas; Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Ron C Hoogeveen
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas.
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183
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Li D, Misialek JR, Huang F, Windham GB, Yu F, Alonso A. Independent Association of Plasma Hydroxysphingomyelins With Physical Function in the Atherosclerosis Risk in Communities (ARIC) Study. J Gerontol A Biol Sci Med Sci 2018; 73:1103-1110. [PMID: 29053806 PMCID: PMC6037051 DOI: 10.1093/gerona/glx201] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 10/16/2017] [Indexed: 11/13/2022] Open
Abstract
Background Plasma metabolites such as phosphatidylcholines and sphingomyelins (SMs) are associated with an age-related cognitive decline. However, their relations to age-related physical function decline remain largely unknown. Methods We examined the cross-sectional relations of 12 plasma metabolites (including four phosphatidylcholines and four SMs) with physical function in 383 older adults in the At herosclerosis Risk in Communities Study at the fifth exam (2011-2013, mean age [standard deviation (SD)]: 78.0 [5.5], 54.4% women, 28.3% African Americans). Physical function was assessed using grip strength, Short Physical Performance Battery, and 4-m walking speed. Individual metabolites were log-transformed and standardized. Multivariable linear regression was performed to account for demographics, APOE genotype, cardiovascular risk factors, comorbidities, use of antihypertensive and lipid-lowering medications, depressive symptoms, and cognition. Results Lower concentrations of asymmetric dimethylarginine and higher concentrations of SM (OH) C22:1, SM (OH) C22:2, and SM (OH) C24:1 were associated with physical function measures. In particular, SM (OH) C22:1 and SM (OH) C24:1 were associated with all three measures of physical function: β-coefficients (95% confidence interval) with grip strength were 0.89 kg (0.00, 1.78) and 0.86 kg (0.10, 1.61) per 1 SD higher concentration, respectively; with Short Physical Performance Battery score, were 0.61 (0.34, 0.88) and 0.41 (0.19, 0.63) per 1 SD difference, respectively; with 4-m walking speed were 0.035 m/s (0.013, 0.056) and 0.035 m/s (0.028, 0.047), respectively. Conclusions Plasma SM (OH)s may be independently associated with physical function in older adults.
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Affiliation(s)
- Danni Li
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis
| | - Jeffrey R Misialek
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - Fangying Huang
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis
| | - Gwen B Windham
- Department of Medicine, University of Mississippi Medical Center, Jackson
| | - Fang Yu
- School of Nursing, University of Minnesota, Minneapolis
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
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Tuegel C, Katz R, Alam M, Bhat Z, Bellovich K, de Boer I, Brosius F, Gadegbeku C, Gipson D, Hawkins J, Himmelfarb J, Ju W, Kestenbaum B, Kretzler M, Robinson-Cohen C, Steigerwalt S, Bansal N. GDF-15, Galectin 3, Soluble ST2, and Risk of Mortality and Cardiovascular Events in CKD. Am J Kidney Dis 2018; 72:519-528. [PMID: 29866459 DOI: 10.1053/j.ajkd.2018.03.025] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 03/20/2018] [Indexed: 12/28/2022]
Abstract
RATIONALE & OBJECTIVE Inflammation, cardiac remodeling, and fibrosis may explain in part the excess risk for cardiovascular disease (CVD) in patients with chronic kidney disease (CKD). Growth differentiation factor 15 (GDF-15), galectin 3 (Gal-3), and soluble ST2 (sST2) are possible biomarkers of these pathways in patients with CKD. STUDY DESIGN Observational cohort study. SETTING & PARTICIPANTS Individuals with CKD enrolled in either of 2 multicenter CKD cohort studies: the Seattle Kidney Study or C-PROBE (Clinical Phenotyping and Resource Biobank Study). EXPOSURES Circulating GDF-15, Gal-3, and sST2 measured at baseline. OUTCOMES Primary outcome was all-cause mortality. Secondary outcomes included hospitalization for physician-adjudicated heart failure and the atherosclerotic CVD events of myocardial infarction and cerebrovascular accident. ANALYTIC APPROACH Cox proportional hazards models used to test the association of each biomarker with each outcome, adjusting for demographics, CVD risk factors, and kidney function. RESULTS Among 883 participants, mean estimated glomerular filtration rate was 49±19mL/min/1.73m2. Higher GDF-15 (adjusted HR [aHR] per 1-SD higher, 1.87; 95% CI, 1.53-2.29), Gal-3 (aHR per 1-SD higher, 1.51; 95% CI, 1.36-1.78), and sST2 (aHR per 1-SD higher, 1.36; 95% CI, 1.17-1.58) concentrations were significantly associated with mortality. Only GDF-15 level was also associated with heart failure events (HR per 1-SD higher, 1.56; 95% CI, 1.12-2.16). There were no detectable associations between GDF-15, Gal-3, or sST2 concentrations and atherosclerotic CVD events. LIMITATIONS Event rates for heart failure and atherosclerotic CVD were low. CONCLUSIONS Adults with CKD and higher circulating GDF-15, Gal-3, and sST2 concentrations experienced greater mortality. Elevated GDF-15 concentration was also associated with an increased rate of heart failure. Further work is needed to elucidate the mechanisms linking these circulating biomarkers with CVD in patients with CKD.
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Affiliation(s)
- Courtney Tuegel
- Department of Medicine, University of Washington, Seattle, WA
| | - Ronit Katz
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA
| | - Mariam Alam
- Department of Medicine, University of Washington, Seattle, WA
| | - Zeenat Bhat
- Nephrology Program, Wayne State University, Detroit, MI
| | | | - Ian de Boer
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA
| | - Frank Brosius
- Nephrology Program, University of Michigan, Ann Arbor, MI
| | | | - Debbie Gipson
- Nephrology Program, University of Michigan, Ann Arbor, MI
| | | | - Jonathan Himmelfarb
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA
| | - Wenjun Ju
- Nephrology Program, University of Michigan, Ann Arbor, MI
| | - Bryan Kestenbaum
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA
| | | | | | | | - Nisha Bansal
- Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA.
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185
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Fang C, Lou B, Zhou J, Zhong R, Wang R, Zang X, Shen H, Li Y. Blood biomarkers in ischemic stroke: Role of biomarkers in differentiation of clinical phenotype. EUR J INFLAMM 2018. [DOI: 10.1177/2058739218780058] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Stroke is the major cause of death and disability worldwide and ischemic stroke contributes 80% among them. Although limited number of patients display hemorrhagic stroke (HS), the disability and death rate are higher in HS. Several studies have been reported on identification of suitable markers for diagnosis of stroke, but none of them holds true worldwide. These observations direct toward identification of population-specific biomarker of stroke. In this study, we screened various blood biomarkers in a large cohort of well-characterized Chinese stroke patients and healthy controls. A total of 308 stroke patients including 262 acute ischemic stroke (AIS) patients and 42 HS patients were enrolled in the study and blood samples were collected within 6–24 h of stroke onset. In addition, 46 stroke mimic subjects were included for comparison of blood markers with stroke patients. Furthermore, healthy controls (n = 200) and patient controls (n = 125) from similar ethnic group were enrolled in the study. Biomarkers (S100 calcium-binding protein B (S100B), C-reactive protein (CRP), interleukin 6 (IL-6), plasminogen activator inhibitor-1 (PAI-1), matrix metallopeptidase 9 (MMP-9), P-selectin, intercellular adhesion molecule 1 (ICAM-1), tumor necrosis factor α (TNF-α), low-density lipoprotein (LDL) cholesterol, interleukin 10 (IL-10), nitric oxide (NO), and glial fibrillary acidic protein (GFAP)) were quantified by ELISA. Blood levels of S100B, CRP, IL-6, PAI-1, MMP-9, P-selectin, ICAM-1, and TNF-α were significantly higher in AIS and HS patients compared to healthy controls, patient controls, and stroke mimic patients. Receiver operating characteristic (ROC) curve analysis revealed CRP, IL-6, PAI-1, P-selectin, and TNF-α as possible biomarkers for AIS patients, and HS patients can be diagnosed based on S100B, IL-6, PAI-1, MMP-9, and TNF-α. Interestingly, significant area under ROC curves were observed for plasma S100B and CRP for differentiating AIS from HS. The results of this study validated certain blood parameters used for diagnosis of AIS or HS in Chinese patients. Furthermore, S100B and CRP are promising biomarkers for differentiation of AIS from HS.
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Affiliation(s)
- Chunyan Fang
- Department of Neurology, Zhucheng People’s Hospital, Zhucheng, China
| | - Bin Lou
- Department of Neurology, Zhucheng People’s Hospital, Zhucheng, China
| | - Juanjuan Zhou
- Department of Neurology, Zhucheng People’s Hospital, Zhucheng, China
| | - Ren Zhong
- Department of Neurology, Zhucheng People’s Hospital, Zhucheng, China
| | - Rujie Wang
- Department of Neurology, Zhucheng People’s Hospital, Zhucheng, China
| | - Xiaopeng Zang
- Department of Neurology, Zhucheng People’s Hospital, Zhucheng, China
| | - Hongmei Shen
- Department of Neurology, Zhucheng People’s Hospital, Zhucheng, China
| | - Yonghong Li
- Department of Neurology, Zhucheng People’s Hospital, Zhucheng, China
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186
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Saeed A, Nambi V, Sun W, Virani SS, Taffet GE, Deswal A, Selvin E, Matsushita K, Wagenknecht LE, Hoogeveen R, Coresh J, de Lemos JA, Ballantyne CM. Short-Term Global Cardiovascular Disease Risk Prediction in Older Adults. J Am Coll Cardiol 2018; 71:2527-2536. [PMID: 29535064 PMCID: PMC5984171 DOI: 10.1016/j.jacc.2018.02.050] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 02/26/2018] [Accepted: 02/27/2018] [Indexed: 11/21/2022]
Abstract
BACKGROUND Current prevention guidelines recommend using the Pooled Cohort Equation (PCE) for 10-year atherosclerotic cardiovascular disease (CVD) risk assessment. However, the PCE has serious limitations in older adults: it excludes heart failure (HF) hospitalization, estimates 10-year risk, which may not be the most relevant time frame, and is not indicated for individuals age >79 years. OBJECTIVES This study sought to determine whether adding biomarkers to PCE variables improves global CVD (coronary heart disease, stroke, and HF) risk prediction in older adults over a shorter time period. METHODS Atherosclerosis Risk in Communities study participants without prevalent CVD including HF (n = 4,760; age 75.4 ± 5.1 years) were followed for incident global CVD events. Adding N-terminal pro-B-type natriuretic peptide, high-sensitivity cardiac troponin T, and high-sensitivity C-reactive protein to the PCE and a "lab model" with the biomarkers, age, race, and gender were assessed for prediction improvement. Area under the receiver operating characteristic curve (AUC) and net reclassification index (NRI) were calculated. RESULTS Over median follow-up of ∼4 years, incident HF was the leading CVD event (n = 193 vs. 118 coronary heart disease and 81 stroke events). Compared to the PCE, each biomarker improved risk prediction. The largest improvement in risk prediction metrics was with the addition of all 3 biomarkers (ΔAUC 0.103; continuous NRI 0.484). The lab model also performed better than the PCE model (ΔAUC 0.091, continuous NRI 0.355). CONCLUSIONS Adding biomarkers to the PCE or a simpler "lab model" improves short-term global CVD risk prediction and may be useful to inform short-term preventive strategies in older adults.
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Affiliation(s)
- Anum Saeed
- Baylor College of Medicine, Houston, Texas
| | - Vijay Nambi
- Baylor College of Medicine, Houston, Texas; Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | | | - Salim S Virani
- Baylor College of Medicine, Houston, Texas; Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
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187
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Tibuakuu M, Kianoush S, DeFilippis AP, McEvoy JW, Zhao D, Guallar E, Ballantyne CM, Hoogeveen RC, Blaha MJ, Michos ED. Usefulness of Lipoprotein-Associated Phospholipase A 2 Activity and C-Reactive Protein in Identifying High-Risk Smokers for Atherosclerotic Cardiovascular Disease (from the Atherosclerosis Risk in Communities Study). Am J Cardiol 2018; 121:1056-1064. [PMID: 29525060 PMCID: PMC5927844 DOI: 10.1016/j.amjcard.2018.01.020] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 01/09/2018] [Accepted: 01/15/2018] [Indexed: 11/16/2022]
Abstract
Despite the causal role of cigarette smoking in atherosclerotic cardiovascular disease (ASCVD), the underlying mechanisms are not fully understood. We evaluated the joint relation between smoking and inflammatory markers with ASCVD risk. We tested cross-sectional associations of self-reported smoking status (never, former, current) and intensity (packs/day) with lipoprotein-associated phospholipase A2 (Lp-PLA2) activity and high-sensitivity C-reactive protein (hsCRP) in 10,506 Atherosclerosis Risk in Communities participants at Visit 4 (1996 to 1998). Using Cox hazard models adjusted for demographic and traditional ASCVD risk factors, we examined the associations of smoking status and intensity with incident adjudicated ASCVD events (n = 1,745 cases) over an average of 17 years, stratified by Lp-PLA2 and hsCRP categories. Greater packs/day smoked was linearly associated with higher levels of both Lp-PLA2 and hsCRP among current smokers. Compared with never smokers, the hazard ratio for incident ASCVD in current smokers was 2.04 (95% CI 1.76 to 2.35). Among current smokers, the risk for ASCVD per 1 pack/day greater was 1.39 (1.10 to 1.76). Both Lp-PLA2 activity ≥253 nmol/min/ml and hsCRP >3 mg/L identified current smokers at the highest risk for incident ASCVD, with similar hazard ratios. hsCRP risk-stratified current smokers better based on intensity. Among current smokers, hsCRP improved ASCVD prediction beyond traditional risk factors better than Lp-PLA2 (C-statistic 0.675 for hsCRP vs 0.668 for Lp-PLA2, p = 0.001). In this large cohort with long follow-up, we found a dose-response relation between smoking intensity with Lp-PLA2 activity, hsCRP, and ASCVD events. Although both Lp-PLA2 activity and hsCRP categories identified high risk among current smokers, hsCRP may better stratify risk of future ASCVD.
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Affiliation(s)
- Martin Tibuakuu
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Medicine, St. Luke's Hospital, Chesterfield, Missouri
| | - Sina Kianoush
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Andrew P DeFilippis
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Cardiology, University of Louisville School of Medicine, Louisville, Kentucky
| | - John W McEvoy
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Epidemiology, Johns Hopkins University Bloomberg School of Medicine, Baltimore, Maryland
| | - Di Zhao
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Medicine, Baltimore, Maryland
| | - Eliseo Guallar
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Medicine, Baltimore, Maryland
| | - Christie M Ballantyne
- Section of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart Center, Houston, Texas
| | - Ron C Hoogeveen
- Section of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart Center, Houston, Texas
| | - Michael J Blaha
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Erin D Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland; Department of Epidemiology, Johns Hopkins University Bloomberg School of Medicine, Baltimore, Maryland.
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188
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Cunningham SA, Mosher A, Judd SE, Matz LM, Kabagambe EK, Moy CS, Howard VJ. Alcohol Consumption and Incident Stroke Among Older Adults. J Gerontol B Psychol Sci Soc Sci 2018; 73:636-648. [PMID: 28184880 PMCID: PMC6018946 DOI: 10.1093/geronb/gbw153] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Accepted: 11/13/2016] [Indexed: 02/07/2023] Open
Abstract
Objectives This study examines the relationship between alcohol consumption and incident stroke among older adults and tests whether alcohol consumption contributes to observed race and sex differences in stroke. Method Data are from a U.S. national cohort of black and white adults aged 45 and older, the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Current and past drinking levels were reported at baseline (2003-2007). Participants who had never had a stroke were followed for adjudicated stroke events through September 2015 (n = 27,265). We calculated Cox proportional hazard models for stroke, adjusting for demographic, socioeconomic, behavioral, and health characteristics. Results Participants, mean age 64.7 years, consumed on average 2.2 drinks/week and experienced 1,140 first-time stroke events over median 9.1 years follow-up. Nondrinkers had a 12% higher risk of stroke than current drinkers; the risk of stroke among nondrinkers largely reflected high risks among past drinkers; these differences were explained by socioeconomic characteristics. Among current drinkers, light drinkers had significantly lower stroke risks than moderate drinkers after accounting for demographic, socioeconomic, behavioral, and health characteristics. Implications of alcohol did not differ between blacks and whites but did differ by sex: Especially among women, nondrinkers, and specifically past drinkers, had higher risks; these differences were largely explained by health characteristics and behaviors. Alcohol did not explain race and sex differences in stroke incidence. Discussion Among older adults, those who used to, but no longer, drink had higher risks of stroke, especially among women; current light drinkers had the lowest risk of stroke.
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Affiliation(s)
- Solveig A Cunningham
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Aleena Mosher
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - Suzanne E Judd
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - Lisa M Matz
- London School of Hygiene and Tropical Medicine, UK
| | - Edmond K Kabagambe
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Claudia S Moy
- National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Virginia J Howard
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
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189
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George KM, Selvin E, Pankow JS, Windham BG, Folsom AR. Sex Differences in the Association of Diabetes With Cardiovascular Disease Outcomes Among African-American and White Participants in the Atherosclerosis Risk in Communities Study. Am J Epidemiol 2018; 187:403-410. [PMID: 29036484 PMCID: PMC5860010 DOI: 10.1093/aje/kwx324] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 05/04/2017] [Accepted: 06/09/2017] [Indexed: 12/23/2022] Open
Abstract
A sex × diabetes interaction in cardiovascular disease (CVD) has been established among white persons; however, it is unknown whether this interaction occurs among African Americans. We hypothesized that there was a multiplicative sex × diabetes interaction for CVD among African Americans participating in the Atherosclerosis Risk in Communities Study (1987-2013). Race-specific Cox models were run in three stages: Stage 1 examined baseline diabetes status; stage 2 examined baseline diabetes status with the competing risk of non-CVD death; and stage 3 examined time-varying diabetes status with a competing risk of non-CVD death. There were 1,073 incident CVD events among 3,767 African Americans and 2,475 among 10,291 white persons. Among African Americans, in stage 1 analysis, the hazard ratio for women with diabetes was 2.3 (95% confidence interval (CI): 2.0, 2.7) compared with women without diabetes after adjustment for age, and the corresponding hazard ratio for men was 1.8 (95% CI: 1.5, 2.1) (P for interaction = 0.014). After full adjustment, the diabetes hazard ratio was attenuated to 2.0 (95% CI: 1.8, 2.3) among women and remained 1.8 (95% CI: 1.5, 2.1) for men (P for interaction = 0.058). A synergistic influence on CVD risk between being a black woman and having diabetes was consistent across stage 2 and stage 3 analyses, with marginally significant interaction, mirroring sex differences seen in whites.
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Affiliation(s)
- Kristen M George
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - B Gwen Windham
- Division of Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Aaron R Folsom
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
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190
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Ogilvie RP, Lakshminarayan K, Iber C, Patel SR, Lutsey PL. Joint effects of OSA and self-reported sleepiness on incident CHD and stroke. Sleep Med 2018. [PMID: 29530366 DOI: 10.1016/j.sleep.2018.01.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Although excessive daytime sleepiness (EDS) is a common symptom of obstructive sleep apnea (OSA), and both EDS and OSA have separately been associated with increased risk of cardiovascular disease (CVD), their joint association with CVD risk is unknown. METHODS Among 3874 Sleep Heart Health Study (SHHS) participants without prevalent CVD, moderate to severe OSA was defined by an apnea hypopnea index (AHI) ≥ 15 on an in-home polysomnography. EDS was defined as an Epworth Sleepiness Scale score ≥11. Incident CVD events included total CVD events (coronary heart disease (CHD) and stroke), as well as CHD and stroke separately. Cox proportional hazards models adjusted for age, sex, alcohol, smoking, and body mass index. RESULTS Compared to those with AHI <15, the hazard ratios (95% CI) for the association of moderate-severe OSA (AHI ≥15) were as follows: CVD 1.06 (0.85-1.33); CHD 1.08 (0.85-1.33); and stroke 1.18 (0.75-1.84). Weak associations between EDS and CVD risk = [1.22 (1.01-1.47)] and CHD risk [1.25 (1.02-1.53)] were present, however there were none for stroke risk [1.10 (0.75-1.63)]. When jointly modeled, both AHI ≥15 and EDS (compared with having AHI <15 and no EDS) was associated with HRs of 1.26 (0.91-1.73) for CVD, 1.24 (0.87-1.75) for CHD and 1.49 (0.78-2.86) for stroke. There were no statistically significant interactions between daytime sleepiness and OSA on the multiplicative or additive scales. CONCLUSIONS Having both EDS and moderate-severe OSA was not associated with an increased risk of CVD in the SHHS data.
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Affiliation(s)
- Rachel P Ogilvie
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Kamakshi Lakshminarayan
- Division of Epidemiology and Community Health, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| | - Conrad Iber
- Department of Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Sanjay R Patel
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, University of Minnesota-Twin Cities, Minneapolis, MN, USA
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191
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Sen S, Giamberardino LD, Moss K, Morelli T, Rosamond WD, Gottesman RF, Beck J, Offenbacher S. Periodontal Disease, Regular Dental Care Use, and Incident Ischemic Stroke. Stroke 2018; 49:355-362. [PMID: 29335336 DOI: 10.1161/strokeaha.117.018990] [Citation(s) in RCA: 106] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Revised: 11/13/2017] [Accepted: 11/29/2017] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND PURPOSE Periodontal disease is independently associated with cardiovascular disease. Identification of periodontal disease as a risk factor for incident ischemic stroke raises the possibility that regular dental care utilization may reduce the stroke risk. METHODS In the ARIC (Atherosclerosis Risk in Communities) study, pattern of dental visits were classified as regular or episodic dental care users. In the ancillary dental ARIC study, selected subjects from ARIC underwent fullmouth periodontal measurements collected at 6 sites per tooth and classified into 7 periodontal profile classes (PPCs). RESULTS In the ARIC study 10 362 stroke-free participants, 584 participants had incident ischemic strokes over a 15-year period. In the dental ARIC study, 6736 dentate subjects were assessed for periodontal disease status using PPC with a total of 299 incident ischemic strokes over the 15-year period. The 7 levels of PPC showed a trend toward an increased stroke risk (χ2 trend P<0.0001); the incidence rate for ischemic stroke/1000-person years was 1.29 for PPC-A (health), 2.82 for PPC-B, 4.80 for PPC-C, 3.81 for PPC-D, 3.50 for PPC-E, 4.78 for PPC-F, and 5.03 for PPC-G (severe periodontal disease). Periodontal disease was significantly associated with cardioembolic (hazard ratio, 2.6; 95% confidence interval, 1.2-5.6) and thrombotic (hazard ratio, 2.2; 95% confidence interval, 1.3-3.8) stroke subtypes. Regular dental care utilization was associated with lower adjusted stroke risk (hazard ratio, 0.77; 95% confidence interval, 0.63-0.94). CONCLUSIONS We confirm an independent association between periodontal disease and incident stroke risk, particularly cardioembolic and thrombotic stroke subtype. Further, we report that regular dental care utilization may lower this risk for stroke.
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Affiliation(s)
- Souvik Sen
- From the Department of Neurology, University of South Carolina, School of Medicine, Columbia (S.S., L.D.G.); Department of Periodontology (K.M., T.M., J.B., S.O.) and Department of Epidemiology, Gilling's School of Public Health (W.D.R.), University of North Carolina, Chapel Hill; and Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD (R.F.G.).
| | - Lauren D Giamberardino
- From the Department of Neurology, University of South Carolina, School of Medicine, Columbia (S.S., L.D.G.); Department of Periodontology (K.M., T.M., J.B., S.O.) and Department of Epidemiology, Gilling's School of Public Health (W.D.R.), University of North Carolina, Chapel Hill; and Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD (R.F.G.)
| | - Kevin Moss
- From the Department of Neurology, University of South Carolina, School of Medicine, Columbia (S.S., L.D.G.); Department of Periodontology (K.M., T.M., J.B., S.O.) and Department of Epidemiology, Gilling's School of Public Health (W.D.R.), University of North Carolina, Chapel Hill; and Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD (R.F.G.)
| | - Thiago Morelli
- From the Department of Neurology, University of South Carolina, School of Medicine, Columbia (S.S., L.D.G.); Department of Periodontology (K.M., T.M., J.B., S.O.) and Department of Epidemiology, Gilling's School of Public Health (W.D.R.), University of North Carolina, Chapel Hill; and Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD (R.F.G.)
| | - Wayne D Rosamond
- From the Department of Neurology, University of South Carolina, School of Medicine, Columbia (S.S., L.D.G.); Department of Periodontology (K.M., T.M., J.B., S.O.) and Department of Epidemiology, Gilling's School of Public Health (W.D.R.), University of North Carolina, Chapel Hill; and Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD (R.F.G.)
| | - Rebecca F Gottesman
- From the Department of Neurology, University of South Carolina, School of Medicine, Columbia (S.S., L.D.G.); Department of Periodontology (K.M., T.M., J.B., S.O.) and Department of Epidemiology, Gilling's School of Public Health (W.D.R.), University of North Carolina, Chapel Hill; and Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD (R.F.G.)
| | - James Beck
- From the Department of Neurology, University of South Carolina, School of Medicine, Columbia (S.S., L.D.G.); Department of Periodontology (K.M., T.M., J.B., S.O.) and Department of Epidemiology, Gilling's School of Public Health (W.D.R.), University of North Carolina, Chapel Hill; and Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD (R.F.G.)
| | - Steven Offenbacher
- From the Department of Neurology, University of South Carolina, School of Medicine, Columbia (S.S., L.D.G.); Department of Periodontology (K.M., T.M., J.B., S.O.) and Department of Epidemiology, Gilling's School of Public Health (W.D.R.), University of North Carolina, Chapel Hill; and Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD (R.F.G.)
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Yoshida K, Aburakawa Y, Suzuki Y, Kuroda K, Kimura T. The Frequency and Risk Factors for Ischemic Stroke in Myotonic Dystrophy Type 1 Patients. J Stroke Cerebrovasc Dis 2018; 27:914-918. [PMID: 29306591 DOI: 10.1016/j.jstrokecerebrovasdis.2017.10.030] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 09/28/2017] [Accepted: 10/27/2017] [Indexed: 10/18/2022] Open
Abstract
INTRODUCTION Patients with myotonic dystrophy type 1 have several cardiac abnormalities, especially myocardial conduction disorders. Few studies have investigated cerebral infarction. We investigated the frequency of both symptomatic and asymptomatic ischemic strokes in patients with myotonic dystrophy type 1. METHODS Patients who were diagnosed with myotonic dystrophy type 1 using genetic testing or clinical examinations at Asahikawa Medical Center were included. We retrospectively reviewed their medical history, neuroradiological imaging, electrocardiograms, and treatment. Their CHADS2 and CHA2DS2-VASc scores were calculated. RESULT A total of 108 patients were diagnosed with myotonic dystrophy type 1. Magnetic resonance imaging was performed in 72 and 1 patient whose results were not available was excluded. Among these, 2 patients had atrial flutter and 3 had atrial fibrillation. Regarding the CHADS2 score, 11 patients scored more than 2. Regarding the CHA2DS2-VASc score, 22 patients scored more than 2. Ischemic strokes were found in 9 patients with 1 having an atrial flutter and 4 having atrial fibrillation. All patients with stroke had CHADS2 and CHA2DS2-VASc scores higher than 2. There were significant differences between the 2 groups in atrial fibrillation (P < .001), CHADS2 score (P < .001), and CHA2DS2-VASc score (P < .001). CONCLUSIONS Ischemic stroke in patients with myotonic dystrophy type 1 is associated with atrial fibrillation. The CHADS2 score seems to be useful for the management of patients with myotonic dystrophy type 1. Repeated electrocardiograms are necessary for managing these patients.
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Affiliation(s)
- Kosuke Yoshida
- Department of Neurology, Asahikawa Medical Center, National Hospital Organization, Asahikawa, Hokkaido, Japan.
| | - Yoko Aburakawa
- Department of Neurology, Asahikawa Medical Center, National Hospital Organization, Asahikawa, Hokkaido, Japan
| | - Yasuhiro Suzuki
- Department of Neurology, Asahikawa Medical Center, National Hospital Organization, Asahikawa, Hokkaido, Japan
| | - Kenji Kuroda
- Department of Neurology, Asahikawa Medical Center, National Hospital Organization, Asahikawa, Hokkaido, Japan
| | - Takashi Kimura
- Department of Neurology, Asahikawa Medical Center, National Hospital Organization, Asahikawa, Hokkaido, Japan
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Ammann EM, Leira EC, Winiecki SK, Nagaraja N, Dandapat S, Carnahan RM, Schweizer ML, Torner JC, Fuller CC, Leonard CE, Garcia C, Pimentel M, Chrischilles EA. Chart validation of inpatient ICD-9-CM administrative diagnosis codes for ischemic stroke among IGIV users in the Sentinel Distributed Database. Medicine (Baltimore) 2017; 96:e9440. [PMID: 29384925 PMCID: PMC6392785 DOI: 10.1097/md.0000000000009440] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 11/08/2017] [Accepted: 12/01/2017] [Indexed: 01/25/2023] Open
Abstract
The Sentinel Distributed Database (SDD) is a large database of patient-level medical and prescription records, primarily derived from insurance claims and electronic health records, and is sponsored by the U.S. Food and Drug Administration for drug safety assessments. In this chart validation study, we report on the positive predictive value (PPV) of inpatient ICD-9-CM acute ischemic stroke (AIS) administrative diagnosis codes (433.x1, 434.xx, and 436) in the SDD.As part of an assessment of the risk of thromboembolic adverse events following treatment with intravenous immune globulin (IGIV), charts were obtained for 131 potential post-IGIV AIS cases. Charts were abstracted by trained nurses and then adjudicated by stroke experts using pre-specified diagnostic criteria.Case status could be determined for 128 potential AIS cases, of which 34 were confirmed. The PPVs for the inpatient AIS diagnoses recorded in the SDD were 27% overall [95% confidence interval (95% CI): 19-35], 60% (95% CI: 32-84) for principal-position diagnoses, 42% (95% CI: 28-57) for secondary diagnoses, and 6% (95% CI: 2-15) for position-unspecified diagnoses (which in the SDD generally originate from separate physician claims associated with an inpatient stay).Position-unspecified diagnoses were unlikely to represent true AIS cases. PPVs for principal and secondary inpatient diagnosis codes were higher, but still meaningfully lower than estimates from prior chart validation studies. The low PPVs may be specific to the IGIV user study population. Additional research is needed to assess the validity of AIS administrative diagnosis codes in other study populations within the SDD.
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Affiliation(s)
- Eric M. Ammann
- College of Public Health, University of Iowa, Iowa City, IA
| | - Enrique C. Leira
- College of Public Health, University of Iowa, Iowa City, IA
- Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Scott K. Winiecki
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD
| | | | | | | | - Marin L. Schweizer
- Carver College of Medicine, University of Iowa, Iowa City, IA
- Iowa City VA Health Care System, Iowa City, IA
| | | | - Candace C. Fuller
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Charles E. Leonard
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Crystal Garcia
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Madelyn Pimentel
- Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
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194
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Howard G, Howard VJ. Design and implementation of observational studies to measure disease burden with a focus on stroke. Int J Stroke 2017; 13:157-165. [PMID: 29148962 DOI: 10.1177/1747493017743800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Observational epidemiological studies have the dual goals of measuring disease burden and assessing the association between exposures and outcomes. This report focuses on the first of these goals and provides an overview of design considerations of commonly used approaches, specifically community surveillance studies, cross-sectional studies, and longitudinal cohort studies. Each of these designs has strengths and weaknesses, with no study design being superior in all cases. Rather, these designs are complementary to achieve a better understanding of the burden of stroke.
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Affiliation(s)
- George Howard
- 1 Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Virginia J Howard
- 2 Department of Epidemiology School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
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195
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Garg PK, Norby FL, Polfus LM, Boerwinkle E, Gibbs RA, Grove ML, Folsom AR, Garimella PS, Matsushita K, Hoogeveen RC, Ballantyne CM. Lipoprotein-associated phospholipase A 2 and risk of incident peripheral arterial disease: Findings from The Atherosclerosis Risk in Communities study (ARIC). Atherosclerosis 2017; 268:12-18. [PMID: 29169030 DOI: 10.1016/j.atherosclerosis.2017.11.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 10/13/2017] [Accepted: 11/10/2017] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND AIMS Results from prospective studies evaluating the relationship between elevated lipoprotein-associated phospholipase A2 (Lp-PLA2) activity and incident peripheral arterial disease (PAD) have been mixed. We investigated whether higher Lp-PLA2 levels are associated with increased risk of incident PAD and whether PLA2G7 gene variants, which result in lower Lp-PLA2 levels, are associated with reduced risk of incident PAD. METHODS Our analysis included 9922 participants (56% female; 21% African-American; mean age 63 years) without baseline PAD at ARIC Visit 4 (1996-1998), who had Lp-PLA2 activity measured and were subsequently followed for the development of PAD, defined by occurrence of a PAD-related hospitalization, through 2012. Cox proportional hazard models were performed to determine the association of Lp-PLA2 levels and PLA2G7 gene variants with incident PAD. RESULTS During a median follow-up of 14.9 years, we identified 756 incident cases of PAD. In analyses adjusting for age, race, and sex, each standard deviation increment in Lp-PLA2 activity (62 nmol/ml/min) was associated with a higher risk of developing PAD (hazard ratio (HR) 1.17; 95% confidence interval (CI) 1.09, 1.26). This association remained significant after additional adjustment for risk factors, other cardiovascular disease, and medication use, but was strongly attenuated (HR: 1.09; 95% CI 1.00, 1.20). PLA2G7 variants were not associated with a lower risk of PAD in both white carriers (HR: 1.21; 95% CI: 0.17-8.56) and African-American carriers (HR: 0.83; 95% CI: 0.41-1.67), although statistical power was quite limited for this analysis, particularly in whites. CONCLUSIONS While higher Lp-PLA2 activity was associated with an increased risk for incident PAD, it is likely a risk marker largely represented by traditional risk factors.
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Affiliation(s)
- Parveen K Garg
- Division of Cardiology, University of Southern California Keck School of Medicine, Los Angeles, CA, USA.
| | - Faye L Norby
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Linda M Polfus
- University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Eric Boerwinkle
- University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Richard A Gibbs
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Megan L Grove
- University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Aaron R Folsom
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Pranav S Garimella
- Division of Nephrology-Hypertension, University of California San Diego, La Jolla, CA, USA
| | - Kunihiro Matsushita
- Department of Epidemiology, The Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ron C Hoogeveen
- Section of Atherosclerosis and Vascular Medicine, Baylor College of Medicine, Houston, TX, USA; The Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart Center, Houston, TX, USA
| | - Christie M Ballantyne
- Section of Atherosclerosis and Vascular Medicine, Baylor College of Medicine, Houston, TX, USA; The Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart Center, Houston, TX, USA
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196
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Carnethon MR, Pu J, Howard G, Albert MA, Anderson CAM, Bertoni AG, Mujahid MS, Palaniappan L, Taylor HA, Willis M, Yancy CW. Cardiovascular Health in African Americans: A Scientific Statement From the American Heart Association. Circulation 2017; 136:e393-e423. [PMID: 29061565 DOI: 10.1161/cir.0000000000000534] [Citation(s) in RCA: 691] [Impact Index Per Article: 98.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE Population-wide reductions in cardiovascular disease incidence and mortality have not been shared equally by African Americans. The burden of cardiovascular disease in the African American community remains high and is a primary cause of disparities in life expectancy between African Americans and whites. The objectives of the present scientific statement are to describe cardiovascular health in African Americans and to highlight unique considerations for disease prevention and management. METHOD The primary sources of information were identified with PubMed/Medline and online sources from the Centers for Disease Control and Prevention. RESULTS The higher prevalence of traditional cardiovascular risk factors (eg, hypertension, diabetes mellitus, obesity, and atherosclerotic cardiovascular risk) underlies the relatively earlier age of onset of cardiovascular diseases among African Americans. Hypertension in particular is highly prevalent among African Americans and contributes directly to the notable disparities in stroke, heart failure, and peripheral artery disease among African Americans. Despite the availability of effective pharmacotherapies and indications for some tailored pharmacotherapies for African Americans (eg, heart failure medications), disease management is less effective among African Americans, yielding higher mortality. Explanations for these persistent disparities in cardiovascular disease are multifactorial and span from the individual level to the social environment. CONCLUSIONS The strategies needed to promote equity in the cardiovascular health of African Americans require input from a broad set of stakeholders, including clinicians and researchers from across multiple disciplines.
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197
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Martin SS, Daya N, Lutsey PL, Matsushita K, Fretz A, McEvoy JW, Blumenthal RS, Coresh J, Greenland P, Kottgen A, Selvin E. Thyroid Function, Cardiovascular Risk Factors, and Incident Atherosclerotic Cardiovascular Disease: The Atherosclerosis Risk in Communities (ARIC) Study. J Clin Endocrinol Metab 2017; 102:3306-3315. [PMID: 28605456 PMCID: PMC5587060 DOI: 10.1210/jc.2017-00986] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 06/07/2017] [Indexed: 12/31/2022]
Abstract
CONTEXT Cardiovascular outcomes in mild thyroid dysfunction (treatment controversial) and moderate or severe dysfunction (treatment standard) remain uncertain. OBJECTIVE To examine cross-sectional and prospective associations of thyroid function with cardiovascular risk factors and events. DESIGN In the Atherosclerosis Risk in Communities Study, we measured concentrations of thyrotropin, free thyroxine, and total triiodothyronine (T3) in stored serum samples originally collected in 1990-1992. We used multivariable linear regression to assess cross-sectional associations of thyroid function with cardiovascular risk factors and Cox regression to assess prospective associations with cardiovascular events. Follow-up occurred through 31 December 2014. SETTING General community. PARTICIPANTS Black and white men and women from the United States, without prior myocardial infarction (MI), stroke, or heart failure. MAIN OUTCOMES AND MEASURES Cross-sectional outcomes were blood pressure, glycemic markers, and blood lipids. Prospective outcomes were adjudicated fatal and nonfatal MI and stroke. RESULTS Among 11,359 participants (57 ± 6 years, 58% women), thyroid function was more strongly associated with blood lipids than blood pressure or glycemic measures. Mean adjusted differences in low-density lipoprotein cholesterol were +15.1 (95% confidence interval: 10.5 to 19.7) and +3.2 (0.0 to 6.4) mg/dL in those with moderate/severe and mild chemical hypothyroidism, relative to euthyroidism; an opposite pattern was seen in hyperthyroidism. Similar differences were seen in triglycerides and non-high-density lipoprotein cholesterol. With a 22.5-year median follow-up, 1102 MIs and 838 strokes occurred, with similar outcomes among baseline thyroid function groups and by T3 concentrations. CONCLUSIONS Hypothyroidism is associated with hyperlipidemia, but the magnitude is small in mild chemical hypothyroidism, and cardiovascular outcomes are similar between thyroid function groups.
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Affiliation(s)
- Seth S. Martin
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland 21205
| | - Natalie Daya
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland 21205
| | - Pamela L. Lutsey
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota 55454
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland 21205
| | - Anna Fretz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland 21205
| | - John W. McEvoy
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland 21205
| | - Roger S. Blumenthal
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland 21205
| | - Philip Greenland
- Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611
| | - Anna Kottgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland 21205
- Division of Genetic Epidemiology, Medical Center–University of Freiburg, 79106 Freiburg, Germany
| | - Elizabeth Selvin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health and the Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, Maryland 21205
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Bansal N, McCulloch CE, Lin F, Alper A, Anderson AH, Cuevas M, Go AS, Kallem R, Kusek JW, Lora CM, Lustigova E, Ojo A, Rahman M, Robinson-Cohen C, Townsend RR, Wright J, Xie D, Hsu CY. Blood Pressure and Risk of Cardiovascular Events in Patients on Chronic Hemodialysis: The CRIC Study (Chronic Renal Insufficiency Cohort). Hypertension 2017; 70:435-443. [PMID: 28674037 PMCID: PMC5521215 DOI: 10.1161/hypertensionaha.117.09091] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Revised: 02/07/2017] [Accepted: 05/02/2017] [Indexed: 12/22/2022]
Abstract
We recently reported a linear association between higher systolic blood pressure (SBP) and risk of mortality in hemodialysis patients when SBP is measured outside of the dialysis unit (out-of-dialysis-unit-SBP), despite there being a U-shaped association between SBP measured at the dialysis unit (dialysis-unit-SBP) with risk of mortality. Here, we explored the relationship between SBP with cardiovascular events, which has important treatment implications but has not been well elucidated. Among 383 hemodialysis participants enrolled in the prospective CRIC study (Chronic Renal Insufficiency Cohort), multivariable splines and Cox models were used to study the association between SBP and adjudicated cardiovascular events (heart failure, myocardial infarction, ischemic stroke, and peripheral artery disease), controlling for differences in demographics, cardiovascular disease risk factors, and dialysis parameters. Dialysis-unit-SBP and out-of-dialysis-unit-SBP were modestly correlated (r=0.34; P<0.001). We noted a U-shaped association of dialysis-unit-SBP and risk of cardiovascular events, with the nadir risk between 140 and 170 mm Hg. In contrast, there was a linear stepwise association between out-of-dialysis-unit-SBP with risk of cardiovascular events. Participants with out-of-dialysis-unit-SBP ≥128 mm Hg (top 2 quartiles) had >2-fold increased risk of cardiovascular events compared with those with out-of-dialysis-unit-SBP ≤112 mm Hg (3rd SBP quartile: adjusted hazard ratio, 2.08 [95% confidence interval, 1.12-3.87] and fourth SBP quartile: adjusted hazard ratio, 2.76 [95% confidence interval, 1.42-5.33]). In conclusion, among hemodialysis patients, although there is a U-shaped (paradoxical) association of dialysis-unit-SBP and risk of cardiovascular disease, there is a linear association of out-of-dialysis-unit-SBP with risk of cardiovascular disease. Out-of-dialysis-unit blood pressure provides key information and may be an important therapeutic target.
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Affiliation(s)
- Nisha Bansal
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.).
| | - Charles E McCulloch
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Feng Lin
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Arnold Alper
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Amanda H Anderson
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Magda Cuevas
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Alan S Go
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Radhakrishna Kallem
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - John W Kusek
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Claudia M Lora
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Eva Lustigova
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Akinlolu Ojo
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Mahboob Rahman
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Cassianne Robinson-Cohen
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Raymond R Townsend
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Jackson Wright
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Dawei Xie
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
| | - Chi-Yuan Hsu
- From the Division of Nephrology, University of Washington (N.B., C.R.-C.); Department of Biostatistics and Epidemiology (C.E.M., F.L.), Division of Nephrology (C.-y.H), University of California, San Francisco; Division of Nephrology, Tulane University (A.A., E.L.); Department of Epidemiology and Biostatistics (A.H.A., M.C., D.X.), Division of Nephrology (R.K., R.R.T.), Perelman School of Medicine, University of Pennsylvania; Kaiser Permanente Northern California Division of Research (A.S.G., C.-y.H.); National Institute of Diabetes and Digestive and Kidney Diseases (J.W.K.); Division of Nephrology, University of Chicago, Illinois (C.M.L.); Division of Nephrology, University of Arizona (A.O.); and Division of Nephrology (M.R.), Division of Cardiology (J.W.), Case Western Reserve University (M.R., J.W.)
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199
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Maheshwari A, Norby FL, Soliman EZ, Koene RJ, Rooney MR, O'Neal WT, Alonso A, Chen LY. Abnormal P-Wave Axis and Ischemic Stroke: The ARIC Study (Atherosclerosis Risk In Communities). Stroke 2017; 48:2060-2065. [PMID: 28626057 PMCID: PMC5534350 DOI: 10.1161/strokeaha.117.017226] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 05/12/2017] [Accepted: 05/22/2017] [Indexed: 01/12/2023]
Abstract
BACKGROUND AND PURPOSE Abnormal P-wave axis (aPWA) has been linked to incident atrial fibrillation and mortality; however, the relationship between aPWA and stroke has not been reported. We hypothesized that aPWA is associated with ischemic stroke independent of atrial fibrillation and other stroke risk factors and tested our hypothesis in the ARIC study (Atherosclerosis Risk In Communities), a community-based prospective cohort study. METHODS We included 15 102 participants (aged 54.2±5.7 years; 55.2% women; 26.5% blacks) who attended the baseline examination (1987-1989) and without prevalent stroke. We defined aPWA as any value outside 0 to 75° using 12-lead ECGs obtained during study visits. Each case of incident ischemic stroke was classified in accordance with criteria from the National Survey of Stroke by a computer algorithm and adjudicated by physician review. Multivariable Cox regression was used to estimate hazard ratios and 95% confidence intervals for the association of aPWA with stroke. RESULTS During a mean follow-up of 20.2 years, there were 657 incident ischemic stroke cases. aPWA was independently associated with a 1.50-fold (95% confidence interval, 1.22-1.85) increased risk of ischemic stroke in the multivariable model that included atrial fibrillation. When subtyped, aPWA was associated with a 2.04-fold (95% confidence interval, 1.42-2.95) increased risk of cardioembolic stroke and a 1.32-fold (95% confidence interval, 1.03-1.71) increased risk of thrombotic stroke. CONCLUSIONS aPWA is independently associated with ischemic stroke. This association seems to be stronger for cardioembolic strokes. Collectively, our findings suggest that alterations in atrial electric activation may predispose to cardiac thromboembolism independent of atrial fibrillation.
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Affiliation(s)
- Ankit Maheshwari
- Cardiovascular Division, Department of Medicine (A.M., R.K., L.Y.C.) and Division of Epidemiology and Community Health, School of Public Health (F.L.N., M.R.R.), University of Minnesota, Minneapolis; Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.); Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA (W.T.O.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.).
| | - Faye L Norby
- Cardiovascular Division, Department of Medicine (A.M., R.K., L.Y.C.) and Division of Epidemiology and Community Health, School of Public Health (F.L.N., M.R.R.), University of Minnesota, Minneapolis; Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.); Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA (W.T.O.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Elsayed Z Soliman
- Cardiovascular Division, Department of Medicine (A.M., R.K., L.Y.C.) and Division of Epidemiology and Community Health, School of Public Health (F.L.N., M.R.R.), University of Minnesota, Minneapolis; Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.); Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA (W.T.O.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Ryan J Koene
- Cardiovascular Division, Department of Medicine (A.M., R.K., L.Y.C.) and Division of Epidemiology and Community Health, School of Public Health (F.L.N., M.R.R.), University of Minnesota, Minneapolis; Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.); Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA (W.T.O.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Mary R Rooney
- Cardiovascular Division, Department of Medicine (A.M., R.K., L.Y.C.) and Division of Epidemiology and Community Health, School of Public Health (F.L.N., M.R.R.), University of Minnesota, Minneapolis; Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.); Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA (W.T.O.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Wesley T O'Neal
- Cardiovascular Division, Department of Medicine (A.M., R.K., L.Y.C.) and Division of Epidemiology and Community Health, School of Public Health (F.L.N., M.R.R.), University of Minnesota, Minneapolis; Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.); Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA (W.T.O.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Alvaro Alonso
- Cardiovascular Division, Department of Medicine (A.M., R.K., L.Y.C.) and Division of Epidemiology and Community Health, School of Public Health (F.L.N., M.R.R.), University of Minnesota, Minneapolis; Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.); Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA (W.T.O.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
| | - Lin Y Chen
- Cardiovascular Division, Department of Medicine (A.M., R.K., L.Y.C.) and Division of Epidemiology and Community Health, School of Public Health (F.L.N., M.R.R.), University of Minnesota, Minneapolis; Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.); Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA (W.T.O.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.)
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200
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Alonso A, Knopman DS, Gottesman RF, Soliman EZ, Shah AJ, O'Neal WT, Norby FL, Mosley TH, Chen LY. Correlates of Dementia and Mild Cognitive Impairment in Patients With Atrial Fibrillation: The Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS). J Am Heart Assoc 2017; 6:e006014. [PMID: 28739861 PMCID: PMC5586306 DOI: 10.1161/jaha.117.006014] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 06/12/2017] [Indexed: 01/03/2023]
Abstract
BACKGROUND Atrial fibrillation (AF) has been associated with faster cognitive decline and increased dementia risk. Factors associated with dementia in patients with AF have been seldom studied. METHODS AND RESULTS We studied 6432 individuals from the ARIC-NCS (Atherosclerosis Risk in Communities Neurocognitive Study). In 2011 to 2013, participants underwent a physical exam, echocardiography, detailed cognitive assessments, and a subset, brain magnetic resonance imaging. Dementia and mild cognitive impairment (MCI), as well as etiology of MCI/dementia, Alzheimer's disease-related or vascular, were adjudicated by an expert panel. AF was defined by study ECGs and past hospitalizations. We used logistic regression to estimate odds ratios and 95% CI of MCI/dementia by AF status and to assess cross-sectional correlates of MCI/dementia in patients with AF. Among 6432 participants, 611 (9.5%) had prevalent AF. AF was associated with increased odds of dementia and MCI (odds ratio, 95% CI, 2.25, 1.64-3.10, and 1.28, 1.04-1.56, respectively). Prevalence of Alzheimer's disease-related MCI/dementia and vascular MCI/dementia were higher in participants with AF than without AF (odds ratio, 95% CI, 1.29, 1.04-1.61, and 1.50, 0.99-2.25, respectively). In multivariable analyses, older age, lower body mass index, diabetes mellitus, stroke, and APOE genotype were associated with dementia prevalence in participants with AF. In models evaluating MCI/dementia subtypes, diabetes mellitus was associated with Alzheimer's disease-related MCI/dementia, whereas male sex and stroke were risk factors for vascular MCI/dementia. CONCLUSIONS In a large, community-based study, AF was associated with higher prevalence of MCI and dementia. Controlling cardiometabolic risk factors is a potential target for prevention of adverse cognitive outcomes in AF patients.
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Affiliation(s)
- Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | | | - Rebecca F Gottesman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Elsayed Z Soliman
- Department of Epidemiology and Prevention, Epidemiological Cardiology Research Center, Wake Forest School of Medicine, Winston-Salem, NC
| | - Amit J Shah
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA
| | - Wesley T O'Neal
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA
| | - Faye L Norby
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Thomas H Mosley
- Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, MS
| | - Lin Y Chen
- Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis, MN
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