Heart Failure Risk Prediction in a Population With a High Burden of Diabetes: Evidence From the Strong Heart Study

This prospective study of HF risk factors in American Indian communities identifies that smoking, body mass index, and indicators of diabetes control and kidney damage (glycated hemoglobin and albuminuria) are major determinants of HF. Our findings can improve HF risk assessment in populations with a high burden of diabetes.

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Publication Details

Journal
Journal of the American Heart Association
Published
2024-08-21
DOI
https://doi.org/10.1161/jaha.123.033772
Citations
9
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
3.62
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article

Heart Failure Risk Prediction in a Population With a High Burden of Diabetes: Evidence From the Strong Heart Study

Amanda M. Fretts, José Manuel García‐Pinilla, Irene Martinez‐Morata, Jason G. Umans et al.
9 citations
Journal of the American Heart Association
Cardiovascular Function and Risk Factors
3.62
article

Heart Failure Risk Prediction in a Population With a High Burden of Diabetes: Evidence From the Strong Heart Study

Amanda M. Fretts, José Manuel García‐Pinilla, Irene Martinez‐Morata, Jason G. Umans, Gernot Pichler, Daichi Shimbo, Shelley A. Cole, Yifei Sun, Arce Domingo‐Relloso, Ana Navas‐Acién, Ying Zhang, Richard B. Devereux
article en
9 citations

Abstract

This prospective study of HF risk factors in American Indian communities identifies that smoking, body mass index, and indicators of diabetes control and kidney damage (glycated hemoglobin and albuminuria) are major determinants of HF. Our findings can improve HF risk assessment in populations with a high burden of diabetes.

Journal of the American Heart AssociationVol. 13(17)
Texas Biomedical Research Institute (US), University of Washington (US), Cornell University (US), Columbia University Irving Medical Center (US), Instituto de Salud Carlos III (ES), Georgetown-Howard Universities Center for Clinical and Translational Science (US), Hospital Clínico Universitario Virgen de la Victoria (ES), Karl Landsteiner Society (AT), Instituto de Investigación Biomédica de Málaga (ES), Weill Cornell Medicine (US), University of Oklahoma Health Sciences Center (US), Columbia University (US), Universidad de Málaga (ES), MedStar Health (US)
Gender equality
Openalex Percentile: Top 6%
Cardiovascular Function and Risk Factors
3.62
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