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Publication stageIn Press Journal Pre-Proof
Plain Language Summary
Risk prediction and stratification remain the big challenges for treatment decisions and clinical research design among patients with glomerular diseases. The extent of chronic changes is an important component of kidney biopsy evaluations in glomerular disease. In this large multicenter cohort including 4,982 Chinese adults undergoing native kidney biopsy, we evaluated whether histologic chronicity scores (CS), when added to clinical data, could improve the prediction of disease prognosis for diverse set of glomerular diseases. We observed that adding histologic chronicity scores to the kidney failure risk equation improved the prediction of kidney disease progression at the time of kidney biopsy in patients with glomerular diseases.
Authors’ Contributions: Study design: FH and SN; obtained funding: FH; analyzed the data: SN and XZ; histopathologic data verification: NJ and XZ; statistical analysis: XX; data cleanup: YC, YL, LS, and PG; data acquisition: XZ, YC, XL, RC, HZ, FL, YS, QY, TH, HL, YH, QW, CC, and JS. XZ, FL, and RC contributed equally to this manuscript. Each author contributed important intellectual content during manuscript drafting or revision and agrees to be personally accountable for the individual’s own contributions and to ensure that questions pertaining to the accuracy or integrity of any portion of the work, even one in which the author was not directly involved, are appropriately investigated and resolved, including with documentation in the literature if appropriate.
Support: This study was supported by the Major International (Regional) Joint Research Project of the National Natural Science Foundation of China (grant no. 81620108003 to F.F.H.); the National Natural Science Foundation of China (Key Program) (grant no. 82030022 to F.F.H.); the Research Fund Program of Guangdong Provincial Clinical Research Center for Kidney Disease (grant no. 2020B1111170013 to F.F.H.); the Research Fund Program of Guangdong Provincial Key Laboratory of Renal Failure Research (grant no. 2017B030314036 to F.F.H.); the Program of Introducing Talents of Discipline to Universities, 111 Plan (grant no. D18005 to F.F.H.); the Clinical Innovation Research Program of Guangzhou Regenerative Medicine and Health Guangdong Laboratory (grant no. 2018GZR0201003 to F.F.H.); the Outstanding Scholar Program of Guangzhou Regenerative Medicine and Health Guangdong Laboratory (grant no. 2018GZR110102004 to F.F.H.); Project of Academician Workstation at Guangzhou (grant no. 0801900000017 to F.F.H.); National Natural Science Foundation of China (grant 81900626 to S.N.); National Key R&D Program of China (grant no. 2021YFC2500200 to X.X.). The funders had no role in study design, data collection, analysis, reporting, or the decision to submit for publication.
Financial Disclosure: The authors declare that they have no relevant financial interests.
Peer Review: Received March 29, 2022. Evaluated by 3 external peer reviewers, with direct editorial input from a Statistics/Methods Editor, an Associate Editor, and the Editor-in-Chief. Accepted in revised form August 29, 2022.