Literature DB >> 29877309

Usefulness of Red Blood Cell Distribution Width to Predict Heart Failure Hospitalization in Patients with Hypertrophic Cardiomyopathy.

Hong-Jie Yang1,2,3, Xin Liu1,2,3, Chuan Qu1,2,3, Shao-Bo Shi1,2,3, Jin-Jun Liang1,2,3, Bo Yang1,2,3.   

Abstract

Red cell distribution width (RDW) has been associated with heart failure (HF) hospitalization in the general population, but the correlation to HF hospitalization in patients with hypertrophic cardiomyopathy (HCM) is unclear.Ninety-eight HCM patients without a history of HF were enrolled and RDW was assessed as a predictor.During a 16.8 ± 9.0 month follow-up period, 17 subjects were hospitalized due to HF. HF hospitalization patients had higher RDW than non-HF patients (14.7 ± 1.4% versus 13.0 ± 0.9%, P < 0.001). The cut-off value of RDW for predicting HF hospitalization was 14% with a sensitivity of 83.2% and a specificity of 82.7%. Multivariate analysis demonstrated that brain natriuretic protein (BNP) (HR 1.028, 95% CI 1.011-1.045, P = 0.001) and RDW (HR 1.711, 95% CI 1.042-2.809, P = 0.034) were predictors of HF hospitalization.High RDW is an independent predictor of HF hospitalization and might be useful for predicting the prognosis in HCM patients.

Entities:  

Keywords:  Laboratory parameters; Prognosis

Mesh:

Year:  2018        PMID: 29877309     DOI: 10.1536/ihj.17-507

Source DB:  PubMed          Journal:  Int Heart J        ISSN: 1349-2365            Impact factor:   1.862


  2 in total

1.  Red blood cell distribution width is associated with adverse cardiovascular events after septal myectomy.

Authors:  Shengwei Wang; Changpeng Song; Hao Cui; Changsheng Zhu; Rong Wu; Xiaohong Huang; Yongqiang Lai; Shuiyun Wang
Journal:  J Thorac Dis       Date:  2021-02       Impact factor: 2.895

2.  N-terminal pro-brain natriuretic peptide and adverse outcomes in Chinese patients with hypertrophic cardiomyopathy.

Authors:  Zeng-Lei Zhang; Yan-Yan Xu; Zhen Qin; Yong-Zheng Lu; Tian-Ding Liu; Li Zhang; Jia-Hong Shangguan; Wei Wang; Jun-Nan Tang; Jin-Ying Zhang
Journal:  Biosci Rep       Date:  2022-01-28       Impact factor: 3.840

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.