OBJECTIVES: To determine the prevalence of cognitive impairment in older adults with heart failure (HF). DESIGN: Cross-sectional analysis of the 2004 wave of the nationally representative Health and Retirement Study linked to 2002 to 2004 Medicare administrative claims. SETTING: United States, community. PARTICIPANTS: Six thousand one hundred eighty-nine individuals aged 67 and older. MEASUREMENTS: An algorithm was developed using a combination of self- and proxy report of a heart problem and the presence of one or more Medicare claims in administrative files using standard HF diagnostic codes. On the basis of the algorithm, three categories were created to characterize the likelihood of a HF diagnosis: high or moderate probability of HF, low probability of HF, and no HF. Cognitive function was assessed using a screening measure of cognitive function or according to proxy rating. Age-adjusted prevalence estimates of cognitive impairment were calculated for the three groups. RESULTS: The prevalence of cognitive impairment consistent with dementia in older adults with HF was 15%, and the prevalence of mild cognitive impairment was 24%. The odds of dementia in those with HF were significantly higher, even after adjustment for age, education level, net worth, and prior stroke (odds ratio = 1.52, 95% confidence interval = 1.14-2.02). CONCLUSION: Cognitive impairment is common in older adults with HF and is independently associated with risk of dementia. A cognitive assessment should be routinely incorporated into HF-focused models of care.
OBJECTIVES: To determine the prevalence of cognitive impairment in older adults with heart failure (HF). DESIGN: Cross-sectional analysis of the 2004 wave of the nationally representative Health and Retirement Study linked to 2002 to 2004 Medicare administrative claims. SETTING: United States, community. PARTICIPANTS: Six thousand one hundred eighty-nine individuals aged 67 and older. MEASUREMENTS: An algorithm was developed using a combination of self- and proxy report of a heart problem and the presence of one or more Medicare claims in administrative files using standard HF diagnostic codes. On the basis of the algorithm, three categories were created to characterize the likelihood of a HF diagnosis: high or moderate probability of HF, low probability of HF, and no HF. Cognitive function was assessed using a screening measure of cognitive function or according to proxy rating. Age-adjusted prevalence estimates of cognitive impairment were calculated for the three groups. RESULTS: The prevalence of cognitive impairment consistent with dementia in older adults with HF was 15%, and the prevalence of mild cognitive impairment was 24%. The odds of dementia in those with HF were significantly higher, even after adjustment for age, education level, net worth, and prior stroke (odds ratio = 1.52, 95% confidence interval = 1.14-2.02). CONCLUSION:Cognitive impairment is common in older adults with HF and is independently associated with risk of dementia. A cognitive assessment should be routinely incorporated into HF-focused models of care.
Authors: Thomas S Rector; Steven L Wickstrom; Mona Shah; N Thomas Greeenlee; Paula Rheault; Jeannette Rogowski; Vicki Freedman; John Adams; José J Escarce Journal: Health Serv Res Date: 2004-12 Impact factor: 3.402
Authors: Elena Birman-Deych; Amy D Waterman; Yan Yan; David S Nilasena; Martha J Radford; Brian F Gage Journal: Med Care Date: 2005-05 Impact factor: 2.983
Authors: Bradi B Granger; Karl Swedberg; Inger Ekman; Christopher B Granger; Bertil Olofsson; John J V McMurray; Salim Yusuf; Eric L Michelson; Marc A Pfeffer Journal: Lancet Date: 2005-12-10 Impact factor: 79.321
Authors: Kenneth M Langa; Brenda L Plassman; Robert B Wallace; A Regula Herzog; Steven G Heeringa; Mary Beth Ofstedal; James R Burke; Gwenith G Fisher; Nancy H Fultz; Michael D Hurd; Guy G Potter; Willard L Rodgers; David C Steffens; David R Weir; Robert J Willis Journal: Neuroepidemiology Date: 2005-08-15 Impact factor: 3.282
Authors: Reijo S Tilvis; Mervi H Kähönen-Väre; Juha Jolkkonen; Jaakko Valvanne; Kaisu H Pitkala; Timo E Strandberg Journal: J Gerontol A Biol Sci Med Sci Date: 2004-03 Impact factor: 6.053
Authors: Joel B Braunstein; Gerard F Anderson; Gary Gerstenblith; Wendy Weller; Marlene Niefeld; Robert Herbert; Albert W Wu Journal: J Am Coll Cardiol Date: 2003-10-01 Impact factor: 24.094
Authors: Mary A Dolansky; Misty A W Hawkins; Julie T Schaefer; Abdus Sattar; John Gunstad; Joseph D Redle; Richard Josephson; Shirley M Moore; Joel W Hughes Journal: Circ Heart Fail Date: 2016-12 Impact factor: 8.790
Authors: Debra K Moser; Cynthia Arslanian-Engoren; Martha J Biddle; Misook Lee Chung; Rebecca L Dekker; Muna H Hammash; Gia Mudd-Martin; Abdullah S Alhurani; Terry A Lennie Journal: Curr Cardiol Rep Date: 2016-12 Impact factor: 2.931
Authors: Misty A W Hawkins; Emily C Gathright; John Gunstad; Mary A Dolansky; Joseph D Redle; Richard Josephson; Shirley M Moore; Joel W Hughes Journal: Heart Lung Date: 2014-07-14 Impact factor: 2.210