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Effects of ventricular conduction block patterns on mortality in hospitalized patients with dilated cardiomyopathy: a single-center cohort study

Overview of attention for article published in BMC Cardiovascular Disorders, June 2016
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Title
Effects of ventricular conduction block patterns on mortality in hospitalized patients with dilated cardiomyopathy: a single-center cohort study
Published in
BMC Cardiovascular Disorders, June 2016
DOI 10.1186/s12872-016-0313-4
Pubmed ID
Authors

Xiaoping Li, Rong Luo, Wei Fang, Xiaolei Xu, Guodong Niu, Yixian Xu, Michael Fu, Wei Hua, Xiushan Wu

Abstract

Ventricular conduction blocks (VCBs) are associated with poor outcomes in patients with known cardiac diseases. However, the prognostic implications of VCB patterns in dilated cardiomyopathy (DCM) patients need to be evaluated. The purpose of this study was to determine all-cause mortality in patients with DCM and VCB. This cohort study included 1119 DCM patients with a median follow-up of 34.3 (19.5-60.8) months, patients were then divided into left bundle branch block (LBBB), right bundle branch block (RBBB), intraventricular conduction delays (IVCD) and narrow QRS groups. The all-cause mortality was assessed using Kaplan-Meier survival curves and Cox regression. Of those 1119 patients, the all-cause mortality rates were highest in patients with IVCD (47.8, n = 32), intermediate in those with RBBB (32.9, n = 27) and LBBB (27.1 %, n = 60), and lowest in those with narrow QRS (19.9 %, n = 149). The all-cause mortality risk was significantly different between the VCB and narrow QRS group (log-rank χ2 = 51.564, P < 0.001). The presence of RBBB, IVCD, PASP ≥ 40 mmHg, left atrium diameter and NYHA functional class were independent predictors of all-cause mortality in DCM patients. Our findings indicate that RBBB and IVCD at admission,but not LBBB, were independent predictors of all-cause mortality in patients with DCM.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 14%
Researcher 3 14%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Student > Ph. D. Student 1 5%
Other 2 9%
Unknown 9 41%
Readers by discipline Count As %
Medicine and Dentistry 11 50%
Nursing and Health Professions 2 9%
Unknown 9 41%
Attention Score in Context

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 15 June 2016.
All research outputs
#20,333,181
of 22,877,793 outputs
Outputs from BMC Cardiovascular Disorders
#1,329
of 1,618 outputs
Outputs of similar age
#305,071
of 352,763 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#28
of 34 outputs
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