Nomogram prediction model for renal anaemia in IgA nephropathy patients

In this study, we focused on the influencing factors of renal anaemia in patients with IgA nephropathy and constructed a nomogram model. We divided 462 patients with IgA nephropathy diagnosed by renal biopsy into anaemic and non-anaemic groups. Then, the influencing factors of renal anaemia in patie...

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Autores principales:	Li Fei, Wei Ri-bao, Wang Yang, Su Ting-yu, Li Ping, Huang Meng-jie, Chen Xiang-mei
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	iga nephropathy anaemia chronic kidney disease nomogram Medicine R
Acceso en línea:	https://doaj.org/article/f68e2650e48f4bc19397bba5ccb5cddb
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spelling	oai:doaj.org-article:f68e2650e48f4bc19397bba5ccb5cddb2021-12-05T14:10:54ZNomogram prediction model for renal anaemia in IgA nephropathy patients2391-546310.1515/med-2021-0284https://doaj.org/article/f68e2650e48f4bc19397bba5ccb5cddb2021-05-01T00:00:00Zhttps://doi.org/10.1515/med-2021-0284https://doaj.org/toc/2391-5463In this study, we focused on the influencing factors of renal anaemia in patients with IgA nephropathy and constructed a nomogram model. We divided 462 patients with IgA nephropathy diagnosed by renal biopsy into anaemic and non-anaemic groups. Then, the influencing factors of renal anaemia in patients with IgA nephropathy were analysed by least absolute shrinkage and selection operator (LASSO) regression and multivariable logistic regression, and a nomogram model for predicting renal anaemia was established. Eventually, nine variables were obtained, which are easy to apply clinically. The areas under the receiver operating characteristic (ROC) curve and precision-recall (PR) curve reached 0.835 and 0.676, respectively, and the C-index reached 0.848. The calibration plot showed that the model had good discrimination, accuracy, and diagnostic efficacy. In addition, the C-index of the model following internal validation reached 0.823. Decision curve analysis suggested that the model had a certain degree of clinical significance. This new nomogram model of renal anaemia combines the basic information, laboratory findings, and renal biopsy results of patients with IgA nephropathy, providing important guidance for predicting and clinically intervening in renal anaemia.Li FeiWei Ri-baoWang YangSu Ting-yuLi PingHuang Meng-jieChen Xiang-meiDe Gruyterarticleiga nephropathyanaemiachronic kidney diseasenomogramMedicineRENOpen Medicine, Vol 16, Iss 1, Pp 718-727 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	iga nephropathy anaemia chronic kidney disease nomogram Medicine R
spellingShingle	iga nephropathy anaemia chronic kidney disease nomogram Medicine R Li Fei Wei Ri-bao Wang Yang Su Ting-yu Li Ping Huang Meng-jie Chen Xiang-mei Nomogram prediction model for renal anaemia in IgA nephropathy patients
description	In this study, we focused on the influencing factors of renal anaemia in patients with IgA nephropathy and constructed a nomogram model. We divided 462 patients with IgA nephropathy diagnosed by renal biopsy into anaemic and non-anaemic groups. Then, the influencing factors of renal anaemia in patients with IgA nephropathy were analysed by least absolute shrinkage and selection operator (LASSO) regression and multivariable logistic regression, and a nomogram model for predicting renal anaemia was established. Eventually, nine variables were obtained, which are easy to apply clinically. The areas under the receiver operating characteristic (ROC) curve and precision-recall (PR) curve reached 0.835 and 0.676, respectively, and the C-index reached 0.848. The calibration plot showed that the model had good discrimination, accuracy, and diagnostic efficacy. In addition, the C-index of the model following internal validation reached 0.823. Decision curve analysis suggested that the model had a certain degree of clinical significance. This new nomogram model of renal anaemia combines the basic information, laboratory findings, and renal biopsy results of patients with IgA nephropathy, providing important guidance for predicting and clinically intervening in renal anaemia.
format	article
author	Li Fei Wei Ri-bao Wang Yang Su Ting-yu Li Ping Huang Meng-jie Chen Xiang-mei
author_facet	Li Fei Wei Ri-bao Wang Yang Su Ting-yu Li Ping Huang Meng-jie Chen Xiang-mei
author_sort	Li Fei
title	Nomogram prediction model for renal anaemia in IgA nephropathy patients
title_short	Nomogram prediction model for renal anaemia in IgA nephropathy patients
title_full	Nomogram prediction model for renal anaemia in IgA nephropathy patients
title_fullStr	Nomogram prediction model for renal anaemia in IgA nephropathy patients
title_full_unstemmed	Nomogram prediction model for renal anaemia in IgA nephropathy patients
title_sort	nomogram prediction model for renal anaemia in iga nephropathy patients
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/f68e2650e48f4bc19397bba5ccb5cddb
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Nomogram prediction model for renal anaemia in IgA nephropathy patients

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