Establishment of a nomogram for personalized prediction model of heart valve calcification in elderly patients with chronic renal failure on hemodialysis

Objective To establish a nomogram of effectively predicting the occurrence of cardiac valve calcification(CVC)in elderly patients with chronic renal failure(CRF)on hemodialysis.Methods Retrospective analysis was performed for clinical data of elderly patients undergoing hemodialysis from December 20...

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Main Author: Li Xiao-mei
Format: Article
Language:zho
Published: Editorial Department of Journal of Clinical Nephrology 2021-01-01
Series:Linchuang shenzangbing zazhi
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Online Access:http://www.lcszb.com/thesisDetails?columnId=57905574&Fpath=home&index=0
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author Li Xiao-mei
author_facet Li Xiao-mei
author_sort Li Xiao-mei
collection DOAJ
description Objective To establish a nomogram of effectively predicting the occurrence of cardiac valve calcification(CVC)in elderly patients with chronic renal failure(CRF)on hemodialysis.Methods Retrospective analysis was performed for clinical data of elderly patients undergoing hemodialysis from December 2015 to December 2018,using single factor and Logistic regression for analyzing the independent risk factors of CVC and establishing the correlation Nomogram prediction model.Results Dialysis age ≥24 months(OR=7.488,95%CI 2.524~22.215),diabetes mellitus(OR=6.256,95%CI 2.624~14.919),pAlb <200 mg/L(OR=5.623,95%CI 1.965~16.091),calcium & phosphorus product ≥ 55 mg<sup>2</sup>/dL<sup>2</sup>(OR=3.954,95%CI 1.679~9.311),iPTH ≥100 ng/L(OR=6.883,95%CI 2.478~19.118)and C-reactive protein(CRP)≥5 mg/L(OR=3.422,95%CI 1.424~8.221)were independent risk factors for CVC in elderly CRF hemodialysis patients(P<0.05).Based upon the above six independent risk factors, a nomogram model indicated that the predicted value was basically consistent with the actual value and C-index index was 0.878(95%CI 0.852~0.904),indicating that this nomogram model had an excellent predictive capability.Conclusions Dialysis age ≥24 months, diabetes mellitus, pAlb <200 mg/L,calcium & phosphorus product ≥55 mg<sup>2</sup>/dL<sup>2</sup>,iPTH ≥100 ng/L and CRP ≥5 mg/L are independent risk factors for CVC in elderly CRF hemodialysis patients.The nomogram model can effectively predict the probability of CVC in elderly CRF hemodialysis patients.
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spelling doaj-art-85b012b0cb6e424c835c49972feb08002025-08-20T03:09:15ZzhoEditorial Department of Journal of Clinical NephrologyLinchuang shenzangbing zazhi1671-23902021-01-012129730157905574Establishment of a nomogram for personalized prediction model of heart valve calcification in elderly patients with chronic renal failure on hemodialysisLi Xiao-meiObjective To establish a nomogram of effectively predicting the occurrence of cardiac valve calcification(CVC)in elderly patients with chronic renal failure(CRF)on hemodialysis.Methods Retrospective analysis was performed for clinical data of elderly patients undergoing hemodialysis from December 2015 to December 2018,using single factor and Logistic regression for analyzing the independent risk factors of CVC and establishing the correlation Nomogram prediction model.Results Dialysis age ≥24 months(OR=7.488,95%CI 2.524~22.215),diabetes mellitus(OR=6.256,95%CI 2.624~14.919),pAlb <200 mg/L(OR=5.623,95%CI 1.965~16.091),calcium & phosphorus product ≥ 55 mg<sup>2</sup>/dL<sup>2</sup>(OR=3.954,95%CI 1.679~9.311),iPTH ≥100 ng/L(OR=6.883,95%CI 2.478~19.118)and C-reactive protein(CRP)≥5 mg/L(OR=3.422,95%CI 1.424~8.221)were independent risk factors for CVC in elderly CRF hemodialysis patients(P<0.05).Based upon the above six independent risk factors, a nomogram model indicated that the predicted value was basically consistent with the actual value and C-index index was 0.878(95%CI 0.852~0.904),indicating that this nomogram model had an excellent predictive capability.Conclusions Dialysis age ≥24 months, diabetes mellitus, pAlb <200 mg/L,calcium & phosphorus product ≥55 mg<sup>2</sup>/dL<sup>2</sup>,iPTH ≥100 ng/L and CRP ≥5 mg/L are independent risk factors for CVC in elderly CRF hemodialysis patients.The nomogram model can effectively predict the probability of CVC in elderly CRF hemodialysis patients.http://www.lcszb.com/thesisDetails?columnId=57905574&Fpath=home&index=0Chronic renal failureHemodialysisCardiac valve calcificationNomogram
spellingShingle Li Xiao-mei
Establishment of a nomogram for personalized prediction model of heart valve calcification in elderly patients with chronic renal failure on hemodialysis
Linchuang shenzangbing zazhi
Chronic renal failure
Hemodialysis
Cardiac valve calcification
Nomogram
title Establishment of a nomogram for personalized prediction model of heart valve calcification in elderly patients with chronic renal failure on hemodialysis
title_full Establishment of a nomogram for personalized prediction model of heart valve calcification in elderly patients with chronic renal failure on hemodialysis
title_fullStr Establishment of a nomogram for personalized prediction model of heart valve calcification in elderly patients with chronic renal failure on hemodialysis
title_full_unstemmed Establishment of a nomogram for personalized prediction model of heart valve calcification in elderly patients with chronic renal failure on hemodialysis
title_short Establishment of a nomogram for personalized prediction model of heart valve calcification in elderly patients with chronic renal failure on hemodialysis
title_sort establishment of a nomogram for personalized prediction model of heart valve calcification in elderly patients with chronic renal failure on hemodialysis
topic Chronic renal failure
Hemodialysis
Cardiac valve calcification
Nomogram
url http://www.lcszb.com/thesisDetails?columnId=57905574&Fpath=home&index=0
work_keys_str_mv AT lixiaomei establishmentofanomogramforpersonalizedpredictionmodelofheartvalvecalcificationinelderlypatientswithchronicrenalfailureonhemodialysis