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10.3390/ijms160510715 http://scihub22266oqcxt.onion/10.3390/ijms160510715 C4463672!4463672!25984599     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Mol+Sci 2015 ; 16 (5): 10715-33 Nephropedia Template TP {{tp|p=25984599|t=2015. The Multi-Biomarker Approach for Heart Failure in Patients with Hypertension |pdf=|usr=}}{{25984599}} gab.com Text The Multi-Biomarker Approach for Heart Failure in Patients with Hypertension JO: Int J Mol Sci http://www.kidney.de/pget.php?&tw=1&pmid=25984599 #FOAvip We assessed the predictive ability of selected biomarkers using N-terminal pro-brain natriuretic peptide (NT-proBNP) as the benchmark and tried to establish a multi-biomarker approach to heart failure (HF) in hypertensive patients. In 120 hypertensive patients with or without overt heart failure, the incremental predictive value of the following biomarkers was investigated: Collagen III N-terminal propeptide (PIIINP), cystatin C (CysC), lipocalin-2/NGAL, syndecan-4, tumor necrosis factor-? (TNF-?), interleukin 1 receptor type I (IL1R1), galectin-3, cardiotrophin-1 (CT-1), transforming growth factor ? (TGF-?) and N-terminal pro-brain natriuretic peptide (NT-proBNP). The highest discriminative value for HF was observed for NT-proBNP (area under the receiver operating characteristic curve (AUC) = 0.873) and TGF-? (AUC = 0.878). On the basis of ROC curve analysis we found that CT-1 > 152 pg/mL, TGF-? < 7.7 ng/mL, syndecan > 2.3 ng/mL, NT-proBNP > 332.5 pg/mL, CysC > 1 mg/L and NGAL > 39.9 ng/mL were significant predictors of overt HF. There was only a small improvement in predictive ability of the multi-biomarker panel including the four biomarkers with the best performance in the detection of HF?NT-proBNP, TGF-?, CT-1, CysC?compared to the panel with NT-proBNP, TGF-? and CT-1 only. Biomarkers with different pathophysiological backgrounds (NT-proBNP, TGF-?, CT-1, CysC) give additive prognostic value for incident HF in hypertensive patients compared to NT-proBNP alone. Twit Text FOAVip The Multi-Biomarker Approach for Heart Failure in Patients with Hypertension ????Int J Mol Sci http://www.kidney.de/pget.php?&tw=1&pmid=25984599 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25984599 #FOAvip English Wikipedia <ref>{{Cite pmid|25984599}}</ref> The Multi-Biomarker Approach for Heart Failure in Patients with Hypertension #MMPMID25984599 Bielecka-Dabrowa A; Gluba-Brzózka A; Michalska-Kasiczak M; Misztal M; Rysz J; Banach M Int J Mol Sci 2015[May]; 16 (5): 10715-33 PMID25984599show ga We assessed the predictive ability of selected biomarkers using N-terminal pro-brain natriuretic peptide (NT-proBNP) as the benchmark and tried to establish a multi-biomarker approach to heart failure (HF) in hypertensive patients. In 120 hypertensive patients with or without overt heart failure, the incremental predictive value of the following biomarkers was investigated: Collagen III N-terminal propeptide (PIIINP), cystatin C (CysC), lipocalin-2/NGAL, syndecan-4, tumor necrosis factor-? (TNF-?), interleukin 1 receptor type I (IL1R1), galectin-3, cardiotrophin-1 (CT-1), transforming growth factor ? (TGF-?) and N-terminal pro-brain natriuretic peptide (NT-proBNP). The highest discriminative value for HF was observed for NT-proBNP (area under the receiver operating characteristic curve (AUC) = 0.873) and TGF-? (AUC = 0.878). On the basis of ROC curve analysis we found that CT-1 > 152 pg/mL, TGF-? < 7.7 ng/mL, syndecan > 2.3 ng/mL, NT-proBNP > 332.5 pg/mL, CysC > 1 mg/L and NGAL > 39.9 ng/mL were significant predictors of overt HF. There was only a small improvement in predictive ability of the multi-biomarker panel including the four biomarkers with the best performance in the detection of HF?NT-proBNP, TGF-?, CT-1, CysC?compared to the panel with NT-proBNP, TGF-? and CT-1 only. Biomarkers with different pathophysiological backgrounds (NT-proBNP, TGF-?, CT-1, CysC) give additive prognostic value for incident HF in hypertensive patients compared to NT-proBNP alone. äThe Multi-Biomarker Approach for Heart Failure in Patients with Hypert(epmc).pdf DeepDyve Pubget Overpricing