Konev , A A , Kharitonov , A , Rozov , F N , Altshuler , E P , Serebryanaya , D , Lassus , J , Harjola , V-P , Katrukha , A G & Postnikov , A B 2020 , ' CT-IGFBP-4 as a novel prognostic biomarker in acute heart failure ' , ESC Heart Failure , vol. 7 , no. 2 , pp. 434-444 . https://doi.org/10.1002/ehf2.12590
Title: | CT-IGFBP-4 as a novel prognostic biomarker in acute heart failure |
Author: | Konev, Alexey A.; Kharitonov, Alexey; Rozov, Fedor N.; Altshuler, Evgeny P.; Serebryanaya, Daria; Lassus, Johan; Harjola, Veli-Pekka; Katrukha, Alexey G.; Postnikov, Alexander B. |
Contributor organization: | HUS Heart and Lung Center Department of Medicine Kardiologian yksikkö University of Helsinki HUS Emergency Medicine and Services Department of Diagnostics and Therapeutics |
Date: | 2020-04 |
Language: | eng |
Number of pages: | 11 |
Belongs to series: | ESC Heart Failure |
ISSN: | 2055-5822 |
DOI: | https://doi.org/10.1002/ehf2.12590 |
URI: | http://hdl.handle.net/10138/318060 |
Abstract: | Aims Insulin-like growth factor binding protein-4 (IGFBP-4) fragments have been shown to predict the risk of major adverse cardiovascular events, including segment-elevation myocardial infarction, in patients with acute coronary syndrome. We evaluated the prognostic value of the carboxy-terminal fragment of IGFBP-4 (CT-IGFBP-4) for all-cause mortality in emergency room patients with acute heart failure (AHF). Methods and results CT-IGFBP-4, N-terminal pro brain natriuretic peptide (NT-proBNP), and C-reactive protein (CRP) were measured at admission from the lithium-heparin plasma of 156 patients with AHF. All-cause mortality was recorded for 1 year. Receiver operator characteristic (ROC) curves, Kaplan-Meier, and Cox proportional hazard ratio analyses were performed to evaluate the prognostic value of the various clinical variables, CT-IGFBP-4, NT-proBNP, CRP, and their combinations. During 1 year of follow-up, 52 (33.3%) patients died. CT-IGFBP-4 only weakly correlated with NT-proBNP (Pearson correlation coefficient r = 0.16, P = 0.044) and did not correlate with CRP (r = 0.08, P = 0.35), emphasizing the different nature of these biomarkers. The receiver operator characteristic area under the curve (ROC AUC) of CT-IGFBP-4 for the prediction of all-cause mortality (0.727) was significantly higher than that of NT-proBNP (0.680, P = 0.045) and CRP (0.669, P = 0.016). The combination of CT-IGFBP-4, NT-proBNP, and CRP predicted mortality significantly better (ROC AUC = 0.788) than any of the biomarkers alone (P <0.01 for all). The addition of CT-IGFBP-4 to a clinical prediction model that included age, gender, systolic blood pressure, creatinine, and sodium levels, as well as the history of previous heart failure, coronary artery disease, and hypertension significantly improved the mortality risk prediction (ROC AUC 0.774 vs. 0.699, P = 0.025). Cox hazard analysis indicated that elevated CT-IGFBP-4 was independently associated with 1 year mortality (hazard ratio 3.26, P = 0.0008) after adjustment for age, gender, history of previous heart failure, coronary artery disease, hypertension, chronic kidney failure, history of diabetes, heart rate, haemoglobin, plasma sodium, NT-proBNP, CRP, cystatin C, and elevated cardiac troponin I or T. Patients with increased levels of either two or three of the biomarkers CT-IGFBP-4, NT-proBNP, and CRP had significantly higher mortality risk (adjusted hazard ratio 10.04, P <0.0001) than patients with increased levels of one or none of the biomarkers. Conclusions CT-IGFBP-4 was independently associated with all-cause mortality in patients with AHF. Compared with single biomarkers, the combination of CT-IGFBP-4, NT-proBNP, and CRP improved the prediction of all-cause mortality in patients with AHF. |
Subject: |
Heart failure
Biomarker Prognostic value Insulin-like growth factor binding protein 4 (IGFBP-4) fragments Pregnancy-associated plasma protein-A (PAPP-A) N-terminal pro brain natriuretic peptide (NT-proBNP) PLASMA-PROTEIN PAPP-A IGFBP-4 FRAGMENTS MORTALITY OUTCOMES RISK PREDICTORS DIAGNOSIS MARKERS EVENTS 3121 General medicine, internal medicine and other clinical medicine 3111 Biomedicine |
Peer reviewed: | Yes |
Rights: | cc_by_nc |
Usage restriction: | openAccess |
Self-archived version: | publishedVersion |
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