Long-term association between self-reported signs and symptoms and heart failure hospitalizations: the Atherosclerosis Risk In Communities (ARIC) Study.
OBJECTIVE
Although studies of the accuracy of heart failure (HF) classification scoring systems are available, few have examined their performance when restricted to self-reported items.


RESULTS
We evaluated the association between a simplified version of the Gothenburg score, a validated HF score comprised of cardiac and pulmonary signs and symptoms and medication use, and incident HF hospitalizations in 15,430 Atherosclerosis Risk in Communities (ARIC) Study participants. Gothenburg scores (range: 0-3) were constructed using self-reported items obtained at study baseline (1987-89). Incident HF hospitalization over 14.7 years of follow-up was defined as the first identified hospitalization with an ICD-9 discharge code of 428 (n = 1,668). Self-reported Gothenburg scores demonstrated very high agreement with the original metric comprised of self-reported and clinical measures and were directly associated with incident HF hospitalizations: [score = 1: hazard rate ratio (HRR) = 1.23 (1.07-1.42); score = 2: HRR = 2.17 (1.92-2.43); score = 3: HRR = 3.98 (3.37-4.70)].


CONCLUSIONS
In a population-based cohort, self-reported Gothenburg criteria items were associated with hospitalized HF over a prolonged follow-up time. The association was also consistent across groups defined by sex and race, suggesting that this simple score deserves further study as a screening tool for the identification of individuals at high risk of HF in resource-limited settings.
Avery
Christy L
CL
Department of Epidemiology, University of North Carolina at Chapel Hill, Bank of America Center, 137 E. Franklin St, Suite 306, Chapel Hill, NC 27514, USA. christy_avery@unc.edu
Mills
Katherine T
KT
Chambless
Lloyd E
LE
Chang
Patricia P
PP
Folsom
Aaron R
AR
Mosley
Thomas H
TH
Ni
Hanyu
H
Rosamond
Wayne D
WD
Wagenknecht
Lynne
L
Wood
Joy
J
Heiss
Gerardo
G
D001741:Black or African American / Q000706:statistics & numerical data; D015331:Cohort Studies; D005260:Female; D006305:Health Status Indicators; D006333:Heart Failure / Q000175:diagnosis / Q000453:epidemiology / Q000503:physiopathology*; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D015994:Incidence; D053208:Kaplan-Meier Estimate; D008297:Male; D008875:Middle Aged; D011159:Population Surveillance; D016016:Proportional Hazards Models; D011446:Prospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D012647:Self-Assessment; D011795:Surveys and Questionnaires; D013997:Time Factors; D014481:United States / Q000453:epidemiology; D044465:White People / Q000706:statistics & numerical data