Comparison the prognostic value of galectin-3 and serum markers of cardiac extracellular matrix turnover in patients with chronic systolic heart failure.

Comparison the prognostic value of galectin-3 and serum markers of cardiac extracellular matrix turnover in patients with chronic systolic heart failure.
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DOI:
10.7150/ijms.8083
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发表时间:
2014
影响因子:
3.6
通讯作者:
Lin YH
Lin YH
中科院分区:
医学4区
文献类型:
--
作者:
Chang YY;Chen A;Wu XM;Hsu TP;Liu LY;Chen YH;Wu YW;Lin HJ;Hsu RB;Lee CM;Wang SS;Lo MT;Chen MF;Lin YH

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背景:半乳糖凝集素-3(Galectin-3,Gal-3)显示了预测心力衰竭(HF)患者生存的能力。然而,Gal-3与心脏细胞外基质(ECM)转换的血清标志物密切相关。本研究的目的是比较Gal-3和心脏ECM周转的血清标志物对预测慢性收缩期心衰患者预后的影响。方法:检测血清Gal-3、脑利钠肽(BNP)、细胞外基质(PINP和PIIINP)、基质金属蛋白酶-2、9(MMP2、9)、金属蛋白酶组织抑制因子-1(TIMP-1)。生存分析采用COX回归分析。结果:共纳入105例(81例男性)患者。随访980±346天,死亡17例,发生心力衰竭36例。病死率与Log PIIINP(β=15.380;P=0.042)、Log TIMP-1(β=44.530;P=0.003)、Log MMP2(β=554.336;P<0.001)、Log BNP(β=28.273;P=0.034)显著相关。LogGal-3(β=7.484;P=0.066)与死亡率呈临界相关。病死率和首次入院心衰与对数TIMP-1(β=16.496;P=0.006)、对数基质金属蛋白酶-2(β=221.864;P<0.001)、对数BNP(β=5.999;P=0.034)显著相关。LogGal-3(β=4.486;P=0.095)仅有临界意义。在几个调整临床参数的模型中,对数基质金属蛋白酶-2与临床结果显著相关。相比之下,LOG Gal-3则不是。结论:基质金属蛋白酶-2对心力衰竭患者预后的预测作用强于Gal-3。
Background: Galectin-3 (Gal-3) shows the ability of survival prediction in heart failure (HF) patients. However, Gal-3 is strongly associated with serum markers of cardiac extracellular matrix (ECM) turnover. The aim of this study is to compare the impact of Gal-3 and serum markers of cardiac ECM turnover on prognostic prediction of chronic systolic HF patients. Methods: Serum Gal-3, brain natriuretic peptide (BNP), extracellular matrix including type I and III aminoterminal propeptide of procollagen (PINP and PIIINP), matrix metalloproteinase-2, 9 (MMP-2, 9), and tissue inhibitor of metalloproteinase-1 (TIMP-1) were analyzed. Cox regression analysis was used for survival analysis. Results: A total of 105 (81 male) patients were enrolled. During 980±346 days follow-up, 17 patients died and 36 episodes of HF admission happened. Mortality of these patients was significantly associated with the log PIIINP (β= 15.380; P=0.042), log TIMP-1(β= 44.530; P=0.003), log MMP-2 (β= 554.336; P<0.001), log BNP (β= 28.273; P=0.034). Log Gal-3 (β= 7.484; P=0.066) is borderline associated with mortality. Mortality or first HF admission of these patients was significantly associated with the log TIMP-1(β= 16.496; P=0.006), log MMP-2 (β= 221.864; P<0.001), log BNP (β= 5.999; P=0.034). Log Gal-3 (β= 4.486; P=0.095) only showed borderline significance. In several models adjusting clinical parameters, log MMP-2 was significantly associated with clinical outcome. In contrast, log Gal-3 was not. Conclusion: The prognostic strength of MMP-2 to clinical outcome prediction in HF patients is stronger than Gal-3.
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