Conventional diagnostic algorithms tend to overdiagnose heart failure in chronic kidney disease patients because biomarker and imaging abnormalities may be innate to CKD.
Conventional diagnostic algorithms developed for non-CKD populations tend to overdiagnose HF in CKD patients due to overlapping biomarker and imaging abnormalities.
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Heart failure (HF) and chronic kidney disease (CKD) frequently coexist, each exacerbating the other through complex hemodynamic, neurohormonal, and inflammatory mechanisms collectively referred to as the cardiorenal syndrome. Both conditions share overlapping risk factors such as hypertension, diabetes, and atherosclerosis, and their coexistence significantly worsens patient outcomes. Although both conditions manifest with fluid overload, the anatomical distribution and prognostic implications differ between cardiac and renal causes, making accurate differentiation important but challenging. Symptoms, signs, and radiological findings frequently overlap, especially in advanced stages. While elevated biomarker levels in CKD do not necessarily indicate HF, they are associated with greater cardiac morbidity and mortality. Dialysis-dependent patients have unique challenges related to volume fluctuations. Conventional diagnostic algorithms developed for non-CKD populations tend to overdiagnose HF in CKD patients, as biomarker and imaging abnormalities may be innate to CKD, even in the absence of HF. In this review, we discuss the challenges of diagnosing HF in CKD using a common clinical scenario.
A Anitha (Thu,) reported a other. Conventional diagnostic algorithms tend to overdiagnose heart failure in chronic kidney disease patients because biomarker and imaging abnormalities may be innate to CKD.