Letter by Wang et al Regarding Article, “Association Between Coffee Intake and Incident Heart Failure Risk: A Machine Learning Analysis of the FHS, the ARIC Study, and the CHS”

2021 ◽  
Author(s):  
Vicki N. Wang ◽  
Chun-Po Steve Fan ◽  
Chris McIntosh
Keyword(s):  
Machine Learning ◽  
Heart Failure ◽  
Coffee Intake ◽  
Failure Risk ◽  
Incident Heart Failure ◽  
Aric Study ◽  
Learning Analysis

Distribution and Correlates of Incident Heart Failure Risk in South Asian Americans: The MASALA Study

2021 ◽  
Author(s):  
Nilay S. Shah ◽  
Anubha Agarwal ◽  
Mark D. Huffman ◽  
Deepak K. Gupta ◽  
Clyde W. Yancy ◽  
...  
Keyword(s):  
Heart Failure ◽  
South Asian ◽  
Asian Americans ◽  
South Asian Americans ◽  
Failure Risk ◽  
Incident Heart Failure

scholarly journals Adjusting for reverse causation to estimate the effect of obesity on mortality after incident heart failure in the Atherosclerosis Risk in Communities (ARIC) study

2016 ◽  
Vol 38 ◽  
pp. e2016025 ◽  
Author(s):  
Maryam Shakiba ◽  
Hamid Soori ◽  
Mohammad Ali Mansournia ◽  
Seyed Saeed Hashemi Nazari ◽  
Yahya Salimi
Keyword(s):  
Heart Failure ◽  
Reverse Causation ◽  
Atherosclerosis Risk In Communities ◽  
Atherosclerosis Risk ◽  
Incident Heart Failure ◽  
Aric Study

scholarly journals Estimation of Incident Heart Failure Risk among US Hispanics/Latinos Using a Validated Echocardiographic Risk-Stratification Index: the Echocardiographic Study of Latinos

2018 ◽  
Vol 24 (9) ◽  
pp. 622-624
Author(s):  
M. Octavia Rangel ◽  
Robert Kaplan ◽  
Martha Daviglus ◽  
Neil Schneiderman ◽  
Barry E. Hurwitz ◽  
...  
Keyword(s):  
Heart Failure ◽  
Risk Stratification ◽  
Failure Risk ◽  
Echocardiographic Study ◽  
Incident Heart Failure

scholarly journals A genetic variant on chromosome 9p21 and incident heart failure in the ARIC study

2009 ◽  
Vol 30 (10) ◽  
pp. 1222-1228 ◽  
Author(s):  
K. Yamagishi ◽  
A. R. Folsom ◽  
W. D. Rosamond ◽  
E. Boerwinkle ◽  
Keyword(s):  
Heart Failure ◽  
Genetic Variant ◽  
Chromosome 9P21 ◽  
Incident Heart Failure ◽  
Aric Study

Abstract MP56: Misclassification of Incident Heart Failure Hospitalizations in Administrative Claims Data: The Atherosclerosis Risk in Communities (ARIC) Study.

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Ricky Camplain ◽  
Anna Kucharska-Newton ◽  
Lloyd E Chambless ◽  
Jacqueline D Wright ◽  
Kenneth R Butler ◽  
...  
Keyword(s):  
Heart Failure ◽  
At Risk ◽  
Incidence Rate ◽  
Index Date ◽  
Claims Data ◽  
Medicare Claims ◽  
Patients At Risk ◽  
Incident Heart Failure ◽  
Aric Study ◽  
Prevalence Period

Background: Estimation of disease incidence from administrative data requires an adequate look-back (prevalence) period to exclude pre-existing conditions from the incidence risk set. We characterized optimal lengths of the prevalence period to minimize misclassification of incident heart failure (HF) hospitalization, a proxy for incident HF. Methods: Data for participants of the ARIC Study (a prospective longitudinal cohort of 15,792 individuals sampled from 4 US communities) were linked with CMS Medicare claims from the years 2000-2012. We included only participants with >36 months of continuous CMS Medicare fee for service (FFS) enrollment. Each participant’s time-in-observation was divided into two phases. The first 36 months were the prevalence period. Observation time after an index date 36 months following the date of enrollment was the incidence period. HF hospitalizations were identified from CMS MedPAR records using ICD-9 code 428.xx in any position. Patients were classified as having a HF hospitalization in (a) both the prevalence and incidence periods, (b) in the prevalence period only, (c) in the incidence period only, or (d) neither. Incident HF was defined as the first HF hospitalization in the incidence period not preceded by a HF hospitalization in the prevalence period. The proportion of events misclassified as incident HF hospitalization was estimated from incremental reductions of the prevalence period to start 36, 30, 24, 18, 12, or 6 months before the index date. The impact of misclassification was estimated as differences in incidence per 1,000 patients at risk. Results: Of 11,054 ARIC participants enrolled in Medicare FFS, 9,568 met the study inclusion criteria. A total of 1,129 incident HF hospitalizations were identified based on the 36 month prevalence period, considered as the referent (incidence rate 118 HF hospitalizations per 1,000 patients at risk). Shortening the prevalence period to 24 months increased the HF incidence rate to 123 per 1,000, overestimating the number of incident HF hospitalizations by 4.2% while retaining over 90% of the sample. A 12 month prevalence period yielded an overestimation of the number of incident HF hospitalizations by 11% (incidence rate 129 per 1,000 patients at risk) while retaining 95% of the sample. Conclusions: Selection of too short of a prevalence period to define incident hospitalized HF from CMS Medicare claims data can introduce substantial misclassification. Consideration of several prevalence periods indicates that a 24 month prevalence period reduces the potential for bias in the estimation of incident hospitalized HF while retaining most observations.

Abstract MP19: Socioeconomic Status and Incident Heart Failure Among Individuals with Diabetes, Obesity and Metabolic Syndrome: The Atherosclerosis Risk in Communities (ARIC) Study

Circulation ◽  
2019 ◽  
Vol 139 (Suppl_1) ◽  
Author(s):  
Amira O Collison ◽  
Lena M Mathews ◽  
Lucia Kwak ◽  
Priya Palta ◽  
Kunihiro Matsushita ◽  
...  
Keyword(s):  
Heart Failure ◽  
Metabolic Syndrome ◽  
Socioeconomic Status ◽  
Atherosclerosis Risk In Communities ◽  
Atherosclerosis Risk ◽  
Incident Heart Failure ◽  
Aric Study

scholarly journals Validation of the Health ABC Heart Failure Model for Incident Heart Failure Risk Prediction

2010 ◽  
Vol 3 (4) ◽  
pp. 495-502 ◽  
Author(s):  
Andreas Kalogeropoulos ◽  
Bruce M. Psaty ◽  
Ramachandran S. Vasan ◽  
Vasiliki Georgiopoulou ◽  
Andrew L. Smith ◽  
...  
Keyword(s):  
Heart Failure ◽  
Risk Prediction ◽  
Failure Model ◽  
Failure Risk ◽  
Incident Heart Failure ◽  
Heart Failure Model

Clonal Hematopoiesis and Incident Heart Failure Risk

2021 ◽  
Vol 78 (1) ◽  
pp. 53-55
Author(s):  
José J. Fuster
Keyword(s):  
Heart Failure ◽  
Clonal Hematopoiesis ◽  
Failure Risk ◽  
Incident Heart Failure
Sign in / Sign up

Export Citation Format

Share Document