BACKGROUND: Different mechanisms of acute kidney injury (AKI) may exist for acute heart failure (AHF) patients compared with other patients. METHODS AND RESULTS: We analyzed data from 282 patients with AHF. The biomarkers were measured within 30 min of admission. Patients were assigned to a no-AKI (n=213) or AKI group (Class R (n=49), Class I (n=15) or Class F (n=5)) using the RIFLE classifications on admission. We evaluated the relationships between the biomarkers and AKI, in-hospital mortality, all-cause death and HF events (HF re-admission, all-cause death) within 90 days. The serum heart-type fatty acid-binding protein (s-HFABP) levels were significantly higher in the AKI than in the no-AKI group, and the predictive biomarker for AKI was s-HFABP (odds ratio: 6.709; 95% confidence interval: 3.362-13.391). s-HFABP demonstrated an optimal balance between sensitivity and specificity (71.0%, 79.3%; area under the receiver-operating characteristic curve [AUC]=0.790) at 22.8 ng/ml for AKI, at 22.8 ng/ml for Class I/F (90.0%, 71.4%; AUC=0.836) and at 21.0 ng/ml for in-hospital mortality (74.3%, 70.0%; AUC=0.726). The Kaplan-Meier survival curves showed a significantly poorer prognosis in the high s-HFABP group (≥22.9 ng/ml) than in other groups. CONCLUSIONS: The s-HFABP level can indicate AKI on admission, and a high s-HFABP level is associated with a poorer prognosis for AHF patients.
BACKGROUND: Different mechanisms of acute kidney injury (AKI) may exist for acute heart failure (AHF) patients compared with other patients. METHODS AND RESULTS: We analyzed data from 282 patients with AHF. The biomarkers were measured within 30 min of admission. Patients were assigned to a no-AKI (n=213) or AKI group (Class R (n=49), Class I (n=15) or Class F (n=5)) using the RIFLE classifications on admission. We evaluated the relationships between the biomarkers and AKI, in-hospital mortality, all-cause death and HF events (HF re-admission, all-cause death) within 90 days. The serum heart-type fatty acid-binding protein (s-HFABP) levels were significantly higher in the AKI than in the no-AKI group, and the predictive biomarker for AKI was s-HFABP (odds ratio: 6.709; 95% confidence interval: 3.362-13.391). s-HFABP demonstrated an optimal balance between sensitivity and specificity (71.0%, 79.3%; area under the receiver-operating characteristic curve [AUC]=0.790) at 22.8 ng/ml for AKI, at 22.8 ng/ml for Class I/F (90.0%, 71.4%; AUC=0.836) and at 21.0 ng/ml for in-hospital mortality (74.3%, 70.0%; AUC=0.726). The Kaplan-Meier survival curves showed a significantly poorer prognosis in the high s-HFABP group (≥22.9 ng/ml) than in other groups. CONCLUSIONS: The s-HFABP level can indicate AKI on admission, and a high s-HFABP level is associated with a poorer prognosis for AHF patients.
Authors: Haiqun Lin; Rebecca Scherzer; Heather Thiessen Philbrook; Steven G Coca; Francis Perry Wilson; Amit X Garg; Michael G Shlipak; Chirag R Parikh Journal: Biomark Med Date: 2017-11-27 Impact factor: 2.851
Authors: Harsh Goel; Joshua Melot; Matthew D Krinock; Ashish Kumar; Sunil K Nadar; Gregory Y H Lip Journal: Ann Med Date: 2020-08-04 Impact factor: 4.709
Authors: Aiping Zhang; Kitipong Uaesoontrachoon; Conner Shaughnessy; Jharna R Das; Sree Rayavarapu; Kristy J Brown; Patricio E Ray; Kanneboyina Nagaraju; John N van den Anker; Eric P Hoffman; Yetrib Hathout Journal: Toxicol Rep Date: 2015