Literature DB >> 19439379

Epidemiology of stroke in chronic heart failure patients with normal sinus rhythm: findings from the DIG stroke sub-study.

Marjan Mujib1, Grigorios Giamouzis, Syed Abbas Agha, Inmaculada Aban, Nalini Sathiakumar, O James Ekundayo, Edward Zamrini, Richard M Allman, Javed Butler, Ali Ahmed.   

Abstract

BACKGROUND: Little is known about the epidemiology of stroke in chronic systolic and diastolic heart failure (HF) patients in normal sinus rhythm (NSR) receiving angiotensin-converting enzyme (ACE) inhibitors. Because all HF patients in the Digitalis Investigation Group (DIG) trial (N=7788) were in NSR and nearly all were receiving ACE inhibitors, a survey-based stroke-sub-study was conducted but its findings have never been published.
METHODS: DIG investigators confirmed a total 222 cases of stroke of which 144 had neurological deficit ≥24 h. We used logistic regression models to determine predictors of incident stroke among all 7788 patients and predictors of neurological deficit ≥24 h and all-cause mortality among 222 stroke patients.
RESULTS: Age ≥65 years (adjusted odds ratio {AOR}, 1.36; 95% confidence interval {CI}, 1.02-1.80; P=0.035), nonwhite race (AOR, 0.65; 95% CI, 0.42-0.99; P=0.047), hypertension (AOR, 1.46; 95% CI, 1.11-1.94; P=0.008), diabetes mellitus (AOR, 1.37; 95% CI, 1.03-1.82; P=0.030), and cardiomegaly (AOR, 1.39; 95% CI, 1.03-1.86; P=0.030) were independent predictors of stroke. However, among those with stroke, nonwhites had higher odds of neurological deficits ≥24 h (AOR, 2.86; 95% CI, 1.01-8.07; P=0.047) and death (AOR, 3.28; 95% CI, 1.30-8.30; P=0.012).
CONCLUSION: Older age, hypertension, diabetes and cardiomegaly were associated with increased incidence of stroke among HF patients with NSR receiving ACE inhibitors. The association of race and stroke, however, was complex. While nonwhite race was associated with decreased risk of stroke, among those with stroke, nonwhite race was associated with increased stroke severity and mortality. Published by Elsevier Ireland Ltd.

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Year:  2009        PMID: 19439379      PMCID: PMC2952701          DOI: 10.1016/j.ijcard.2009.04.035

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  42 in total

1.  Ethical authorship and publishing.

Authors:  Andrew J S Coats
Journal:  Int J Cardiol       Date:  2008-11-28       Impact factor: 4.164

2.  Sudden death from stroke.

Authors:  L H Phillips; J P Whisnant; T J Reagan
Journal:  Stroke       Date:  1977 May-Jun       Impact factor: 7.914

Review 3.  Black-white disparities in health care.

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Journal:  JAMA       Date:  1990-05-02       Impact factor: 56.272

4.  Effects of advancing age on regional cerebral blood flow. Studies in normal subjects and subjects with risk factors for atherothrombotic stroke.

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Journal:  Arch Neurol       Date:  1979-07

5.  Hypertension and diabetes as risk factors in stroke patients.

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Journal:  Stroke       Date:  1973 Sep-Oct       Impact factor: 7.914

6.  The confounding of race and geography: how much of the excess stroke mortality among African Americans is explained by geography?

Authors:  Dongyan Yang; George Howard; Christopher S Coffey; Jeffrey Roseman
Journal:  Neuroepidemiology       Date:  2004 May-Jun       Impact factor: 3.282

7.  Non-rheumatic atrial fibrillation as a risk factor for stroke.

Authors:  M Britton; C Gustafsson
Journal:  Stroke       Date:  1985 Mar-Apr       Impact factor: 7.914

8.  Side of brain infarction and long-term risk of sudden death in patients with symptomatic carotid disease.

Authors:  Ale Algra; Peter C Gates; Allan J Fox; Vladimir Hachinski; Henry J M Barnett
Journal:  Stroke       Date:  2003-11-20       Impact factor: 7.914

9.  Age-related changes in risk factor effects on the incidence of thromboembolic and hemorrhagic stroke.

Authors:  Robert D Abbott; J David Curb; Beatriz L Rodriguez; Kamal H Masaki; Jordan S Popper; G Webster Ross; Helen Petrovitch
Journal:  J Clin Epidemiol       Date:  2003-05       Impact factor: 6.437

10.  Stroke before 55 years of age at Karolinska Hospital 1973-77. A study of 399 well-defined cases. Risk indicators and etiological considerations.

Authors:  K L Mettinger; C E Söderström; J Neiman
Journal:  Acta Neurol Scand       Date:  1984-12       Impact factor: 3.209

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  5 in total

1.  Blood pressure and stroke in heart failure in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study.

Authors:  Patrick M Pullicino; Leslie A McClure; Virginia G Wadley; Ali Ahmed; Virginia J Howard; George Howard; Monika M Safford
Journal:  Stroke       Date:  2009-10-15       Impact factor: 7.914

2.  Cognitive impairment in heart failure.

Authors:  Efthimios Dardiotis; Gregory Giamouzis; Dimos Mastrogiannis; Christina Vogiatzi; John Skoularigis; Filippos Triposkiadis; Georgios M Hadjigeorgiou
Journal:  Cardiol Res Pract       Date:  2012-06-06       Impact factor: 1.866

3.  Telemonitoring in chronic heart failure: a systematic review.

Authors:  Gregory Giamouzis; Dimos Mastrogiannis; Konstantinos Koutrakis; George Karayannis; Charalambos Parisis; Chris Rountas; Elias Adreanides; George E Dafoulas; Panagiotis C Stafylas; John Skoularigis; Sara Giacomelli; Zoran Olivari; Filippos Triposkiadis
Journal:  Cardiol Res Pract       Date:  2012-06-07       Impact factor: 1.866

Review 4.  Heart Failure and Stroke.

Authors:  Katja Schumacher; Jelena Kornej; Eduard Shantsila; Gregory Y H Lip
Journal:  Curr Heart Fail Rep       Date:  2018-10

5.  Economic Modeling of Heart Failure Telehealth Programs: When Do They Become Cost Saving?

Authors:  Sheena Xin Liu; Rui Xiang; Charles Lagor; Nan Liu; Kathleen Sullivan
Journal:  Int J Telemed Appl       Date:  2016-07-26
  5 in total

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