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Development and assessment of a predictive nomogram for the progression of IgA nephropathy

The present study is to establish a nomogram for predicting the prognosis of IgA nephropathy (IgAN). Of the 869 IgAN patients, four-fifths were randomly assigned to the development cohort and one-fifth to the validation cohort. The primary outcome was a composite event of either a ≥ 50% reduction in...

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Autores principales: Liu, Lin-lin, Zhu, Lin-bo, Zheng, Jian-nan, Bi, Tong-dan, Ma, Jian-fei, Wang, Li-ning, Yao, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943256/
https://www.ncbi.nlm.nih.gov/pubmed/29743598
http://dx.doi.org/10.1038/s41598-018-25653-9
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author Liu, Lin-lin
Zhu, Lin-bo
Zheng, Jian-nan
Bi, Tong-dan
Ma, Jian-fei
Wang, Li-ning
Yao, Li
author_facet Liu, Lin-lin
Zhu, Lin-bo
Zheng, Jian-nan
Bi, Tong-dan
Ma, Jian-fei
Wang, Li-ning
Yao, Li
author_sort Liu, Lin-lin
collection PubMed
description The present study is to establish a nomogram for predicting the prognosis of IgA nephropathy (IgAN). Of the 869 IgAN patients, four-fifths were randomly assigned to the development cohort and one-fifth to the validation cohort. The primary outcome was a composite event of either a ≥ 50% reduction in estimated glomerular filtration rate (eGFR), end-stage renal disease or death. The mean follow-up time was 44 months. The Cox regression model identified urinary protein excretion (1–3.5 g/d, HR 11.639, 95% CI 3.601–37.625; ≥ 3.5 g/d, HR 32.435, 95% CI 10.079–104.380), eGFR (G2, HR 5.293, 95% CI 2.011–13.932; G3, HR 15.797, 95% CI 6.584–37.905; G4, HR 34.619, 95% CI 13.887–86.301; G5, HR 217.651, 95% CI 83.807–565.248), hyperuricaemia (HR 7.031, 95% CI 4.126–11.980), mesangial proliferation (HR 36.667, 95% CI 5.098–263.711), segmental glomerulosclerosis (HR 5.122, 95% CI 3.114–8.425), tubular atrophy/interstitial fibrosis (T1, HR 33.351, 95% CI 7.831–142.044; T2, HR 213.888, 95% CI 51.048–896.182), crescents (C1, HR 3.123, 95% CI 1.771–5.510; C2, HR 7.353, 95% CI 3.590–15.062) and glomerulosclerosis (25–49%, HR 3.123, 95% CI 1.771–5.510; ≥ 50%, HR 14.384, 95% CI 8.813–23.479) for developing the nomogram. The C-index was 0.945 (95% CI 0.914–0.976) in both the development and validation cohorts, showing good agreement between the nomogram-predicted probability and actual free-of-progression probability. Thus, our nomogram could accurately predict the progression of IgAN patients.
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spelling pubmed-59432562018-05-14 Development and assessment of a predictive nomogram for the progression of IgA nephropathy Liu, Lin-lin Zhu, Lin-bo Zheng, Jian-nan Bi, Tong-dan Ma, Jian-fei Wang, Li-ning Yao, Li Sci Rep Article The present study is to establish a nomogram for predicting the prognosis of IgA nephropathy (IgAN). Of the 869 IgAN patients, four-fifths were randomly assigned to the development cohort and one-fifth to the validation cohort. The primary outcome was a composite event of either a ≥ 50% reduction in estimated glomerular filtration rate (eGFR), end-stage renal disease or death. The mean follow-up time was 44 months. The Cox regression model identified urinary protein excretion (1–3.5 g/d, HR 11.639, 95% CI 3.601–37.625; ≥ 3.5 g/d, HR 32.435, 95% CI 10.079–104.380), eGFR (G2, HR 5.293, 95% CI 2.011–13.932; G3, HR 15.797, 95% CI 6.584–37.905; G4, HR 34.619, 95% CI 13.887–86.301; G5, HR 217.651, 95% CI 83.807–565.248), hyperuricaemia (HR 7.031, 95% CI 4.126–11.980), mesangial proliferation (HR 36.667, 95% CI 5.098–263.711), segmental glomerulosclerosis (HR 5.122, 95% CI 3.114–8.425), tubular atrophy/interstitial fibrosis (T1, HR 33.351, 95% CI 7.831–142.044; T2, HR 213.888, 95% CI 51.048–896.182), crescents (C1, HR 3.123, 95% CI 1.771–5.510; C2, HR 7.353, 95% CI 3.590–15.062) and glomerulosclerosis (25–49%, HR 3.123, 95% CI 1.771–5.510; ≥ 50%, HR 14.384, 95% CI 8.813–23.479) for developing the nomogram. The C-index was 0.945 (95% CI 0.914–0.976) in both the development and validation cohorts, showing good agreement between the nomogram-predicted probability and actual free-of-progression probability. Thus, our nomogram could accurately predict the progression of IgAN patients. Nature Publishing Group UK 2018-05-09 /pmc/articles/PMC5943256/ /pubmed/29743598 http://dx.doi.org/10.1038/s41598-018-25653-9 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Liu, Lin-lin
Zhu, Lin-bo
Zheng, Jian-nan
Bi, Tong-dan
Ma, Jian-fei
Wang, Li-ning
Yao, Li
Development and assessment of a predictive nomogram for the progression of IgA nephropathy
title Development and assessment of a predictive nomogram for the progression of IgA nephropathy
title_full Development and assessment of a predictive nomogram for the progression of IgA nephropathy
title_fullStr Development and assessment of a predictive nomogram for the progression of IgA nephropathy
title_full_unstemmed Development and assessment of a predictive nomogram for the progression of IgA nephropathy
title_short Development and assessment of a predictive nomogram for the progression of IgA nephropathy
title_sort development and assessment of a predictive nomogram for the progression of iga nephropathy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943256/
https://www.ncbi.nlm.nih.gov/pubmed/29743598
http://dx.doi.org/10.1038/s41598-018-25653-9
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