| Autor: |
Zaoqiang Lin, Liuchang Feng, Huan Zeng, Xuefei Lin, Qizhan Lin, Fuhua Lu, Lixin Wang, Jianling Mai, Pingjun Fang, Xusheng Liu, Qinxiang Tan, Chuan Zou |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
BMC Nephrology, Vol 24, Iss 1, Pp 1-11 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1471-2369 |
| DOI: |
10.1186/s12882-023-03310-2 |
| Popis: |
Abstract Background The 2017 Oxford classification of immunoglobulin A nephropathy (IgAN) recently reported that crescents could predict a worse renal outcome. Early prediction of crescent formation can help physicians determine the appropriate intervention, and thus, improve the outcomes. Therefore, we aimed to establish a nomogram model for the prediction of crescent formation in IgA nephropathy patients. Methods We retrospectively analyzed 200 cases of biopsy-proven IgAN patients. Least absolute shrinkage and selection operator(LASSO) regression and multivariate logistic regression was applied to screen for influencing factors of crescent formation in IgAN patients. The performance of the proposed nomogram was evaluated based on Harrell’s concordance index (C-index), calibration plot, and decision curve analysis. Results Multivariate logistic analysis showed that urinary protein ≥ 1 g (OR = 3.129, 95%CI = 1.454–6.732), urinary red blood cell (URBC) counts ≥ 30/ul (OR = 3.190, 95%CI = 1.590–6.402), mALBU ≥ 1500 mg/L(OR = 2.330, 95%CI = 1.008–5.386), eGFR |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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