A risk stratification for systemic immunoglobulin light‐chain amyloidosis with renal involvement
A risk stratification for systemic immunoglobulin light‐chain amyloidosis with renal involvement
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累及肾脏的全身免疫球蛋白轻链淀粉样变性的风险分层
DOI:
10.1111/bjh.16112
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发表时间:
2019
影响因子:
6.5
通讯作者:
Zhihong Liu
中科院分区:
文献类型:
--
作者:
Ting Li;Xianghua Huang;Qingwen Wang;Liang Zhao;G. Ren;Wencui Chen;C. Zheng;Minlin Zhou;Qi Jiang;Ru Yin;Zhihong Liu
Renal involvement is found in about 70% of patients with systemic immunoglobulin light‐chain (AL) amyloidosis. However, there is no risk stratification system specialized for renal AL concerning patients’ survival. Galectin‐3 (Gal‐3) has been reported to portend poor prognosis in other renal diseases. We measured Gal‐3 and several traditional risk biomarkers of AL in baseline samples from 253 consecutive patients diagnosed with renal AL. At baseline, Gal‐3 [Hazard ratio (HR): 1·46; P = 0·033], high‐sensitivity cardiac troponin T (hs‐cTnT) (HR: 2·65; P < 0·001) and difference between involved and uninvolved free light chains (dFLC) (HR: 1·81; P = 0·001) were independent predictors of all‐cause mortality. The cut‐off points for Gal‐3, hs‐cTnT, and dFLC were 20·24 ng/ml, 0·026 ng/ml, and 75·89 mg/l, respectively. Patients were stratified into four stages by assigning a score of 1 for each of the three biomarkers above the cut‐off point. The proportions of patients with disease stages 1, 2, 3 and 4 were 17·0%, 37·2%, 29·2% and 16·6%, and the median overall survival times from diagnosis were 100, 60, 29 and 15 months, respectively (P < 0·01). Higher level of Gal‐3 is associated with increased risk for mortality, and the risk stratification based on Gal‐3 is a reliable model for predicting mortality in AL amyloidosis with renal involvement.
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影响因子:
45.3
作者:
Dispenzieri, A;Gertz, MA;Jaffe, AS
通讯作者:
Jaffe, AS
影响因子:
3.6
作者:
R. Kyle;M. Gertz
通讯作者:
R. Kyle;M. Gertz
影响因子:
39.2
作者:
Levey AS;Stevens LA;Schmid CH;Zhang YL;Castro AF 3rd;Feldman HI;Kusek JW;Eggers P;Van Lente F;Greene T;Coresh J;CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration)
通讯作者:
CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration)
影响因子:
19.6
作者:
Rebholz CM;Selvin E;Liang M;Ballantyne CM;Hoogeveen RC;Aguilar D;McEvoy JW;Grams ME;Coresh J
通讯作者:
Coresh J
影响因子:
24
作者:
Ho, Jennifer E.;Liu, Chunyu;Lyass, Asya;Courchesne, Paul;Pencina, Michael J.;Vasan, Ramachandran S.;Larson, Martin G.;Levy, Daniel
通讯作者:
Levy, Daniel