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Browsing by Author "Brankovic, Milos (57188840013)"

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    Cardiometabolic biomarkers and their temporal patterns predict poor outcome in chronic heart failure (BIO-SHIFT study)
    (2018)
    Brankovic, Milos (57188840013)
    ;
    Akkerhuis, K. Martijn (6602755087)
    ;
    Mouthaan, Henk (57200110896)
    ;
    Brugts, Jasper J. (57218107869)
    ;
    Manintveld, Olivier C. (6507985572)
    ;
    van Ramshorst, Jan (36191355400)
    ;
    Germans, Tjeerd (57204665147)
    ;
    Umans, Victor (25946404200)
    ;
    Boersma, Eric (7102815542)
    ;
    Kardys, Isabella (6506281877)
    Purpose: Multiple hormonal and metabolic alterations occur in chronic heart failure (CHF), but their proper monitoring during clinically silent progression of CHF remains challenging. Hence, our objective was to explore whether temporal patterns of six emerging cardiometabolic biomarkers predict future adverse clinical events in stable patients with CHF. Methods: In 263 patients with CHF, we determined the risk of a composite end point of heart failure hospitalization, cardiac death, left ventricular assist device implantation, and heart transplantation in relation to serially assessed blood biomarker levels and slopes (i.e., rate of biomarker change per year). During 2.2 years of follow-up, we repeatedly measured IGF binding proteins 1, 2, and 7 (IGFBP-1, IGFBP-2, IGFBP-7), adipose fatty acid binding protein 4 (FABP-4), resistin, and chemerin (567 samples in total). Results: Serially measured IGFBP-1, IGFBP-2, IGFBP-7, and FABP-4 levels predicted the end point [univariable hazard ratio (95% CI) per 1-SD increase: 3.34 (2.43 to 4.87), 2.86 (2.10 to 3.92), 2.45 (1.91 to 3.13), and 2.46 (1.88 to 3.24), respectively]. Independently of the biomarkers’ levels, their slopes were also strong clinical predictors [per 0.1-SD increase: 1.20 (1.11 to 1.31), 1.27 (1.14 to 1.45), 1.23 (1.11 to 1.37), and 1.27 (1.12 to 1.48)]. All associations persisted after multivariable adjustment for patient baseline characteristics, baseline N-terminal pro-hormone brain natriuretic peptide and cardiac troponin T, and pharmacological treatment during follow-up. Main Conclusions: The temporal patterns of IGFBP-1, IGFBP-2, IGFBP-7, and adipose FABP-4 predict adverse clinical outcomes during outpatient follow-up of patients with CHF and may be clinically relevant as they could help detect more aggressive CHF forms and assess patient prognosis, as well as ultimately aid in designing more effective biomarker-guided therapy. Copyright © 2018 Endocrine Society.
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    Cardiometabolic biomarkers and their temporal patterns predict poor outcome in chronic heart failure (BIO-SHIFT study)
    (2018)
    Brankovic, Milos (57188840013)
    ;
    Akkerhuis, K. Martijn (6602755087)
    ;
    Mouthaan, Henk (57200110896)
    ;
    Brugts, Jasper J. (57218107869)
    ;
    Manintveld, Olivier C. (6507985572)
    ;
    van Ramshorst, Jan (36191355400)
    ;
    Germans, Tjeerd (57204665147)
    ;
    Umans, Victor (25946404200)
    ;
    Boersma, Eric (7102815542)
    ;
    Kardys, Isabella (6506281877)
    Purpose: Multiple hormonal and metabolic alterations occur in chronic heart failure (CHF), but their proper monitoring during clinically silent progression of CHF remains challenging. Hence, our objective was to explore whether temporal patterns of six emerging cardiometabolic biomarkers predict future adverse clinical events in stable patients with CHF. Methods: In 263 patients with CHF, we determined the risk of a composite end point of heart failure hospitalization, cardiac death, left ventricular assist device implantation, and heart transplantation in relation to serially assessed blood biomarker levels and slopes (i.e., rate of biomarker change per year). During 2.2 years of follow-up, we repeatedly measured IGF binding proteins 1, 2, and 7 (IGFBP-1, IGFBP-2, IGFBP-7), adipose fatty acid binding protein 4 (FABP-4), resistin, and chemerin (567 samples in total). Results: Serially measured IGFBP-1, IGFBP-2, IGFBP-7, and FABP-4 levels predicted the end point [univariable hazard ratio (95% CI) per 1-SD increase: 3.34 (2.43 to 4.87), 2.86 (2.10 to 3.92), 2.45 (1.91 to 3.13), and 2.46 (1.88 to 3.24), respectively]. Independently of the biomarkers’ levels, their slopes were also strong clinical predictors [per 0.1-SD increase: 1.20 (1.11 to 1.31), 1.27 (1.14 to 1.45), 1.23 (1.11 to 1.37), and 1.27 (1.12 to 1.48)]. All associations persisted after multivariable adjustment for patient baseline characteristics, baseline N-terminal pro-hormone brain natriuretic peptide and cardiac troponin T, and pharmacological treatment during follow-up. Main Conclusions: The temporal patterns of IGFBP-1, IGFBP-2, IGFBP-7, and adipose FABP-4 predict adverse clinical outcomes during outpatient follow-up of patients with CHF and may be clinically relevant as they could help detect more aggressive CHF forms and assess patient prognosis, as well as ultimately aid in designing more effective biomarker-guided therapy. Copyright © 2018 Endocrine Society.
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    Complete Immediate Paraplegia Reversal after Performing Aorto–Lumbar Bypass on the Patient who Underwent Aortoiliac Reconstruction
    (2016)
    Banzic, Igor (36518108700)
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    Sladojevic, Milos (35184234700)
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    Ilic, Nikola (7006245465)
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    Koncar, Igor (19337386500)
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    Davidovic, Lazar (7006821504)
    ;
    Brankovic, Milos (57188840013)
    Although both internal iliac arteries were saved during operation, the patient developed paraplegia immediately after aortoiliac reconstruction due to the spinal cord ischemia. We report a successfully treated immediate postoperative paraplegia by performing second operation and creating bypass from the bifurcated Dacron graft to the previously detected nonpaired huge lumbar artery. © 2016 Elsevier Inc.
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    Parkes Weber syndrome—Diagnostic and management paradigms: A systematic review
    (2017)
    Banzic, Igor (36518108700)
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    Brankovic, Milos (57188840013)
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    Maksimović, Živan (26537806600)
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    Davidović, Lazar (7006821504)
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    Marković, Miroslav (7101935751)
    ;
    Rančić, Zoran (6508236457)
    Objectives: Parkes Weber syndrome is a congenital vascular malformation which consists of capillary malformation, venous malformation, lymphatic malformation, and arteriovenous malformation. Although Parkes Weber syndrome is a clinically distinctive entity with serious complications, it is still frequently misdiagnosed as Klippel–Trenaunay syndrome that consists of the triad capillary malformation, venous malformation, and lymphatic malformation. Methods: We performed a systematic review investigating clinical, diagnostic, and treatment modalities of Parkes Weber syndrome (PubMed/MEDLINE, Embase, and Cochrane databases). Thirty-six publications (48 patients) fulfilled the eligibility criteria. Results: The median age of patients was 23 years (IQR, 8–32), and 24 (50.0%) were males. Lower extremity was affected in 42 (87.5%) and upper extremity in 6 (12.5%) patients; 15 (31.3%) patients developed high-output heart failure; 12 (25.0%) patients had chronic venous ulcerations, whereas 4 (8.3%) manifested distal arterial ischemia. The spinal arteriovenous malformations were reported in six (12.5%) patients and coexistence of aneurysmatic disease in five (10.4%) patients. The most frequently utilized invasive treatments were embotherapy followed by amputation and surgical arteriovenous malformation resection, and occasionally stent-graft implantation. All modalities showed clinical improvement. However, long follow-up and outcome remained unclear. Conclusion: A diagnosis of Parkes Weber syndrome should be made on the presence of capillary malformation, venous malformation, lymphatic malformation, and arteriovenous malformation (as main defect) in overgrowth extremity. Arteriovenous malformation presents the criterion for distinguishing Parkes Weber syndrome from Klippel-Trenaunay syndrome, which is substantial for treatment strategy. The primary management goal should be patient's quality of life improvement and complication reduction. Embolization alone/combined with surgical resection targeting occlusion or removal of arteriovenous malformation “nidus” reliably leads to clinical improvement. © 2016, © The Author(s) 2016.
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    Patient-specific evolution of renal function in chronic heart failure patients dynamically predicts clinical outcome in the Bio-SHiFT study
    (2018)
    Brankovic, Milos (57188840013)
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    Akkerhuis, K. Martijn (6602755087)
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    van Boven, Nick (55816981200)
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    Anroedh, Sharda (57193486405)
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    Constantinescu, Alina (23011439400)
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    Caliskan, Kadir (57507955800)
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    Manintveld, Olivier (6507985572)
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    Cornel, Jan Hein (7005044414)
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    Baart, Sara (56592995900)
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    Rizopoulos, Dimitris (15136878500)
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    Hillege, Hans (7004140531)
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    Boersma, Eric (7102815542)
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    Umans, Victor (25946404200)
    ;
    Kardys, Isabella (6506281877)
    Renal dysfunction is an important component of chronic heart failure (CHF), but its single assessment does not sufficiently reflect clinically silent progression of CHF prior to adverse clinical outcome. Therefore, we aimed to investigate temporal evolutions of glomerular and tubular markers in 263 stable patients with CHF, and to determine if their patient-specific evolutions during this clinically silent period can dynamically predict clinical outcome. We determined the risk of clinical outcome (composite endpoint of Heart Failure hospitalization, cardiac death, Left Ventricular Assist Device placement, and heart transplantation) in relation to marker levels, slopes and areas under their trajectories. In each patient, the trajectories were estimated using repeatedly measured glomerular markers: creatinine/estimated glomerular filtration rate (eGFR), cystatin C (CysC), and tubular markers: urinary N-acetyl-beta-D-glucosaminidase (NAG) and kidney injury molecule (KIM)-1, plasma and urinary neutrophil gelatinase-associated lipocalin (NGAL). During 2.2 years of follow-up, we collected on average 8 urine and 9 plasma samples per patient. All glomerular markers predicted the endpoint (univariable hazard ratio [95% confidence interval] per 20% increase: creatinine: 1.18[1.07–1.31], CysC: 2.41[1.81–3.41], and per 20% eGFR decrease: 1.13[1.05–1.23]). Tubular markers, NAG, and KIM-1 also predicted the endpoint (NAG: 1.06[1.01–1.11] and KIM-1: 1.08[1.04–1.11]). Larger slopes were the strongest predictors (creatinine: 1.57[1.39–1.84], CysC: 1.76[1.52–2.09], eGFR: 1.59[1.37–1.90], NAG: 1.26[1.11–1.44], and KIM-1: 1.64[1.38–2.05]). Associations persisted after multivariable adjustment for clinical characteristics. Thus, during clinically silent progression of CHF, glomerular and tubular functions deteriorate, but not simultaneously. Hence, patient-specific evolutions of these renal markers dynamically predict clinical outcome in patients with CHF. © 2017 International Society of Nephrology
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    Personalized dynamic risk assessment in nephrology is a next step in prognostic research
    (2018)
    Brankovic, Milos (57188840013)
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    Kardys, Isabella (6506281877)
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    Hoorn, Ewout J. (6508158988)
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    Baart, Sara (56592995900)
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    Boersma, Eric (7102815542)
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    Rizopoulos, Dimitris (15136878500)
    In nephrology, repeated measures are frequently available (glomerular filtration rate or proteinuria) and linked to adverse outcomes. However, several features of these longitudinal data should be considered before making such inferences. These considerations are discussed, and we describe how joint modeling of repeatedly measured and time-to-event data may help to assess disease dynamics and to derive personalized prognosis. Joint modeling combines linear mixed-effects models and Cox regression model to relate patient-specific trajectory to their prognosis. We describe several aspects of the relationship between time-varying markers and the endpoint of interest that are assessed with real examples to illustrate the aforementioned aspects of the longitudinal data provided. Thus, joint models are valuable statistical tools for study purposes but also may help health care providers in making well-informed dynamic medical decisions. © 2018 International Society of Nephrology
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    Preoperative right heart hemodynamics predict postoperative acute kidney injury after heart transplantation
    (2018)
    Guven, Goksel (56650765200)
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    Brankovic, Milos (57188840013)
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    Constantinescu, Alina A. (23011439400)
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    Brugts, Jasper J. (57218107869)
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    Hesselink, Dennis A. (6701841582)
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    Akin, Sakir (37076545000)
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    Struijs, Ard (8957896200)
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    Birim, Ozcan (8927023800)
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    Ince, Can (26643131100)
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    Manintveld, Olivier C. (6507985572)
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    Caliskan, Kadir (57507955800)
    Purpose: Acute kidney injury (AKI) frequently occurs after heart transplantation (HTx), but its relation to preoperative right heart hemodynamic (RHH) parameters remains unknown. Therefore, we aimed to determine their predictive properties for postoperative AKI severity within 30 days after HTx. Methods: From 1984 to 2016, all consecutive HTx recipients (n = 595) in our tertiary referral center were included and analyzed for the occurrence of postoperative AKI staged by the kidney disease improving global outcome criteria. The effects of preoperative RHH parameters on postoperative AKI were calculated using logistic regression, and predictive accuracy was assessed using integrated discrimination improvement (IDI), net reclassification improvement (NRI), and area under the receiver operating characteristic curves (AUC). Results: Postoperative AKI occurred in 430 (72%) patients including 278 (47%) stage 1, 66 (11%) stage 2, and 86 (14%) stage 3 cases. Renal replacement therapy (RRT) was administered in 41 (7%) patients. Patients with higher AKI stages had also higher baseline right atrial pressure (RAP; median 7, 7, 8, and in RRT 11 mmHg, p trend = 0.021), RAP-to-pulmonary capillary wedge pressure ratio (median 0.37, 0.36, 0.40, 0.47, p trend = 0.009), and lower pulmonary artery pulsatility index (PAPi) values (median 2.83, 3.17, 2.54, 2.31, p trend = 0.012). Higher RAP and lower PAPi values independently predicted AKI severity [adjusted odds ratio (OR) per doubling of RAP 1.16 (1.02–1.32), p = 0.029; of PAPi 0.85 (0.75–0.96), p = 0.008]. Based on IDI, NRI, and delta AUC, inclusion of these parameters improved the models’ predictive accuracy. Conclusions: Preoperative PAPi and RAP strongly predict the development of AKI early after HTx and can be used as early AKI predictors. © 2018, The Author(s).
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    Real-Life Use of Neurohormonal Antagonists and Loop Diuretics in Chronic Heart Failure: Analysis of Serial Biomarker Measurements and Clinical Outcome
    (2018)
    Brankovic, Milos (57188840013)
    ;
    Akkerhuis, K. Martijn (6602755087)
    ;
    van Boven, Nick (55816981200)
    ;
    Manintveld, Olivier (6507985572)
    ;
    Germans, Tjeerd (9243436700)
    ;
    Brugts, Jasper (57218107869)
    ;
    Caliskan, Kadir (57507955800)
    ;
    Umans, Victor (25946404200)
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    Constantinescu, Alina (23011439400)
    ;
    Kardys, Isabella (6506281877)
    We determined the temporal effects of neurohormonal antagonists and loop diuretics on serially assessed (3-monthly) cardiorenal biomarkers, functional status, and clinical outcomes in 250 patients with chronic heart failure (CHF) with reduced ejection fraction. In blood, we measured NT-proBNP, troponin T, C-reactive protein, creatinine, cystatin C; in urine, N-acetyl-beta-d-glucosaminidase and kidney-injury-molecule-1. Angiotensin converting enzyme (ACE) inhibitors, angiotensin II receptor blockers (ARBs) were inversely associated with cardiac impairment, inflammation, and renal tubular damage, but not with glomerular dysfunction. Diuretics were associated with worse biomarker profiles and with a hazard ratio for adverse clinical outcome of 1.12 (95% confidence interval: 1.03–1.22) per 40 mg higher doses. ACE-inhibitors/ARBs were more frequently downtitrated and diuretics more frequently uptitrated in patients who experienced endpoints than in those who did not. In conclusion, a decrease or withholding of ACE-inhibitors/ARBs solely based on glomerular function is not justified because of the beneficial effects on the heart, inflammation, and renal tubules. Higher and increased diuretic doses mark progression towards endstage CHF. © 2017 American Society for Clinical Pharmacology and Therapeutics
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    Real-Life Use of Neurohormonal Antagonists and Loop Diuretics in Chronic Heart Failure: Analysis of Serial Biomarker Measurements and Clinical Outcome
    (2018)
    Brankovic, Milos (57188840013)
    ;
    Akkerhuis, K. Martijn (6602755087)
    ;
    van Boven, Nick (55816981200)
    ;
    Manintveld, Olivier (6507985572)
    ;
    Germans, Tjeerd (9243436700)
    ;
    Brugts, Jasper (57218107869)
    ;
    Caliskan, Kadir (57507955800)
    ;
    Umans, Victor (25946404200)
    ;
    Constantinescu, Alina (23011439400)
    ;
    Kardys, Isabella (6506281877)
    We determined the temporal effects of neurohormonal antagonists and loop diuretics on serially assessed (3-monthly) cardiorenal biomarkers, functional status, and clinical outcomes in 250 patients with chronic heart failure (CHF) with reduced ejection fraction. In blood, we measured NT-proBNP, troponin T, C-reactive protein, creatinine, cystatin C; in urine, N-acetyl-beta-d-glucosaminidase and kidney-injury-molecule-1. Angiotensin converting enzyme (ACE) inhibitors, angiotensin II receptor blockers (ARBs) were inversely associated with cardiac impairment, inflammation, and renal tubular damage, but not with glomerular dysfunction. Diuretics were associated with worse biomarker profiles and with a hazard ratio for adverse clinical outcome of 1.12 (95% confidence interval: 1.03–1.22) per 40 mg higher doses. ACE-inhibitors/ARBs were more frequently downtitrated and diuretics more frequently uptitrated in patients who experienced endpoints than in those who did not. In conclusion, a decrease or withholding of ACE-inhibitors/ARBs solely based on glomerular function is not justified because of the beneficial effects on the heart, inflammation, and renal tubules. Higher and increased diuretic doses mark progression towards endstage CHF. © 2017 American Society for Clinical Pharmacology and Therapeutics
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    Response to Letter to the Editor: "cardiometabolic Biomarkers and Their Temporal Patterns Predict Poor Outcome in Chronic Heart Failure (Bio-SHiFT Study)"
    (2018)
    Brankovic, Milos (57188840013)
    ;
    Akkerhuis, K Martijn (6602755087)
    ;
    Umans, Victor (25946404200)
    ;
    Boersma, Eric (7102815542)
    ;
    Kardys, Isabella (6506281877)
    [No abstract available]
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    Response to Letter to the Editor: "cardiometabolic Biomarkers and Their Temporal Patterns Predict Poor Outcome in Chronic Heart Failure (Bio-SHiFT Study)"
    (2018)
    Brankovic, Milos (57188840013)
    ;
    Akkerhuis, K Martijn (6602755087)
    ;
    Umans, Victor (25946404200)
    ;
    Boersma, Eric (7102815542)
    ;
    Kardys, Isabella (6506281877)
    [No abstract available]
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    Unusual Case of Parkes Weber Syndrome with Aneurysm of the Left Common Iliac Vein and Thrombus in Inferior Vena Cava
    (2015)
    Banzic, Igor (36518108700)
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    Brankovic, Milos (57188840013)
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    Koncar, Igor (19337386500)
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    Ilic, Nikola (7006245465)
    ;
    Davidovic, Lazar (7006821504)
    We report an unusual case of aneurysm of the left common iliac vein and thrombus formation in inferior vena cava associated with Parkes Weber syndrome (PWS). In addition to many already known clinical signs which determine PWS, common iliac vein aneurysm formation together with inferior vena cava thrombus present a new clinical feature and new challenges in treatment strategy of these patients. © 2015 Elsevier Inc. All rights reserved.
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    Utility of temporal profiles of new cardio-renal and pulmonary candidate biomarkers in chronic heart failure
    (2019)
    Brankovic, Milos (57188840013)
    ;
    Martijn Akkerhuis, K. (57192716190)
    ;
    Mouthaan, Henk (57200110896)
    ;
    Constantinescu, Alina (23011439400)
    ;
    Caliskan, Kadir (57507955800)
    ;
    van Ramshorst, Jan (36191355400)
    ;
    Germans, Tjeerd (9243436700)
    ;
    Umans, Victor (25946404200)
    ;
    Kardys, Isabella (6506281877)
    Background: Our aim was to explore potential use of temporal profiles of seven emerging cardio-renal and two pulmonary candidate biomarkers for predicting future adverse clinical outcome in stable patients with chronic heart failure (CHF). Methods: In 263 CHF patients, we determined the risk of a composite endpoint of HF-hospitalization, cardiac death, LVAD-placement and heart transplantation in relation to repeatedly assessed (567 samples in total) blood biomarker levels, and slopes of their temporal trajectories (i.e., rate of biomarker change per year). In each patient, we estimated biomarker trajectories using repeatedly measured osteopontin (OPN), osteoprotegerin (OPG), epidermal growth factor receptor (EGFR), heparin-binding protein (HBP), trefoil factor-3 (TFF3), kallikrein-6 (KLK-6), matrix extracellular phosphoglycoprotein (MEPE), pulmonary surfactant-associated protein-D (PSP-D), and secretoglobulin family 3A-member-2 (SCGB3A2). Results: During 2.2 years of follow-up, OPN, OPG, and HBP levels predicted the composite endpoint (univariable hazard ratio [95% confidence interval] per 1SD increase: 2.31 [1.76–3.15], 2.23 [1.69–3.00], and 1.36[1.09–1.70]). Independently of the biomarkers' levels, the slopes of OPG, TFF-3, PSP-D trajectories were also strong clinical predictors (per 0.1SD increase: 1.24 [1.14–1.38], 1.31 [1.17–1.49], and 1.32 [1.21–1.47]). All associations persisted after multivariable adjustment for baseline characteristics, and repeatedly assessed CHF pharmacological treatment and cardiac biomarkers NT-proBNP and troponin T. Conclusions: Repeatedly-measured levels of OPN, OPG, and HBP, and slopes of OPG, TFF-3, and PSP-D strongly predict clinical outcome. These candidate biomarkers may be clinically relevant as they could further define a patient's risk and provide additional pathophysiological insights into CHF. © 2018 The Authors

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