| Title |
Cardiac magnetic resonance and galectin-3 level as predictors of prognostic outcomes for non-ischemic cardiomyopathy patients
|
|---|---|
| Published in |
The International Journal of Cardiovascular Imaging, August 2016
|
| DOI | 10.1007/s10554-016-0958-1 |
| Pubmed ID | |
| Authors |
Da-Jun Hu, Jing Xu, Wei Du, Jian-Xin Zhang, Min Zhong, Ya-Nan Zhou |
| Abstract |
This study was aimed at determining whether late gadolinium enhancement (LGE) in conjunction with Galectin-3 (Gal-3) level offered more precise prognosis of non-ischemic cardiomyopathy (NICM) in comparison to LGE alone. Results of LGE and Gal-3 expression in 192 patients with NICM, including 85 subjects with dilated cardiomyopathy (DCM) and 107 with hypertrophic cardiomyopathy (HCM), were examined. As suggested by the characteristics of LGE and Gal-3 levels, patients were divided into four groups: LGE positive + low Gal-3 (n = 10 for DCM, n = 15 for HCM), LGE positive + high Gal-3 (n = 25 for DCM, n = 51 for HCM), LGE negative + low Gal-3 (n = 32 for DCM, n = 29 for HCM), LGE negative + high Gal-3 (n = 18 for DCM, n = 12 for HCM). Primary endpoints over the follow-up period included major adverse cardiac events (MACEs). Kaplan-Meier survival analysis and univariate Cox proportional hazard models were used to analyze the survival status of patients with NICM. The optimal cut-off value of Gal-3 level for two types of NICM was determined by receiver operating characteristic analysis (13.38 U/L for DCM and 14.40 U/L for HCM). The combination of LGE and Gal-3 levels offered a more significant prognostic value than using LGE alone for both DCM and HCM (DCM P = 0.001 < 0.012; HCM P = 0.037 < 0.040). Moreover, the Cox proportional hazard model suggested that both LGE status [Hazard ratio (HR) = 2.62, P = 0.017] and Gal-3 level (HR = 1.16, P = 0.013) were significant predictors of MACEs in DCM, while they did not appear to have significant prognostic values for HCM (P = 0.06 and 0.64). Furthermore, the multivariate analysis only confirmed LGE as an independent element in predicting prognosis of DCM (HR = 12.19, P = 0.026). In conclusion, LGE status was an independent indicator of DCM prognosis, yet the insignificant role of LGE in HCM prognosis could be limited by sample size. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 5 | 19% |
| Student > Master | 4 | 15% |
| Other | 3 | 11% |
| Student > Bachelor | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Other | 4 | 15% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 56% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 4% |
| Psychology | 1 | 4% |
| Economics, Econometrics and Finance | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 5 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2016.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from The International Journal of Cardiovascular Imaging
#1,460
of 2,012 outputs
Outputs of similar age
#309,794
of 349,724 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#26
of 41 outputs
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