Development and assessment of a predictive nomogram for the progression of IgA nephropathy
Abstract 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% red...
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| Autores principales: | , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2018
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/e4332e03c6d8438b8105504d22679ce0 |
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| Sumario: | Abstract 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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