Literature DB >> 33333520

Prediction of All-Cause Mortality Using an Echocardiography-Based Risk Score in Hemodialysis Patients.

Jing Zhu1, Chao Tang1, Han Ouyang1, Huaying Shen1, Tao You1, Ji Hu2.   

Abstract

AIM: To derive an echocardiography-based prognostic score for a 3-year risk of mortality in end-stage renal disease (ESRD) patients undergoing hemodialysis (HD).
METHODS: 173 ESRD patients hospitalized in the second affiliated hospital of Soochow University from January 1, 2010, to July 31, 2016, were enrolled and followed up for 3 years. All subjects began to receive HD from recruitment. Baseline clinical and echocardiographic parameters were collected and screened for risk factors using univariate and multivariate analysis. The prognostic value of echocardiographic indexes was determined by concordance indexes and reclassification assay. Restricted cubic spline models (RCS) and forest plots were employed to visualize the association between risk factors and all-cause mortality. A multivariate nomogram including the identified factors was developed to estimate the prognosis.
RESULTS: After multivariate adjustment for advanced age, hypertension, diabetes, and decreased hemoglobin (Hb), echocardiographic indexes including left atrial diameter index (LADI), cardiac valvular calcification, and moderate to severe cardiac valve regurgitation were independently associated with the risk of 3-year mortality in HD patients. RCS showed that age, Hb, and LADI were positively associated with the risk of mortality. Adding multiple echocardiographic indexes to a basic model containing age, hypertension, diabetes, and Hb increased the concordance index and improved reclassification. A multivariate Cox model-derived nomogram showed the association between each factor and mortality by the end of follow-up.
CONCLUSIONS: Echocardiographic indexes showed independent predictive power for mortality in ESRD patients and may constitute a promising prognostic tool in this population.
© 2020 S. Karger AG, Basel.

Entities:  

Keywords:  Echocardiography; Hemodialysis; Mortality; Nomogram; Prognosis

Year:  2020        PMID: 33333520     DOI: 10.1159/000507727

Source DB:  PubMed          Journal:  Cardiorenal Med        ISSN: 1664-5502            Impact factor:   2.041


  3 in total

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2.  Development and validation of a nomogram for predicting the 6-months survival rate of patients undergoing incident hemodialysis in China.

Authors:  Guode Li; Linsen Jiang; Jiangpeng Li; Huaying Shen; Shan Jiang; Han Ouyang; Kai Song
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3.  Development of a risk prediction nomogram for sarcopenia in hemodialysis patients.

Authors:  Genlian Cai; Jinping Ying; Mengyan Pan; Xiabing Lang; Weiping Yu; Qinqin Zhang
Journal:  BMC Nephrol       Date:  2022-09-23       Impact factor: 2.585

  3 in total

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