ArticleKidney diseases (Basel, Switzerland)2022
Clinical and Histological Predictors of Renal Survival in Patients with Biopsy-Proven Diabetic Nephropathy.
Article in Kidney diseases (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Quantitative Assessment of Kidney Interstitial Fibrosis Using Optical Spectroscopy Mediated through a Fine Needle Probe.Kidney360 · 2026Article
- Prognostic assessment of the Japanese Renal Pathology Society classification in Chinese patients with histologically confirmed diabetic kidney disease.Clinical and experimental nephrology · 2026Article
- Association of finerenone with graded proteinuria improvement in type 2 diabetes with chronic kidney disease and proteinuria >1 g/d: a retrospective cohort study.Frontiers in endocrinology · 2026Article
- Multimodal analysis stratifies genetic susceptibility and reveals the pathogenic mechanism of kidney injury in diabetic nephropathy.Cell reports. Medicine · 2025Article
- Development of a nomogram for predicting renal survival in patients with biopsy-proven diabetic nephropathy.Frontiers in endocrinology · 2025Article
- A predictive model for depression in Chinese middle-aged and elderly people with physical disabilities.BMC psychiatry · 2024Article
- Correlation of insulin resistance-related indicators and obesity-related indicators with sarcopenic obesity and development of diagnostic models: NHANES 1999-2006.Frontiers in nutrition · 2024Article
- IGF1 and PPARG polymorphisms are associated with reduced estimated glomerular filtration rate in a cohort of children and adolescents with type 1 diabetes.Acta diabetologica · 2023Article
- NADCells · 2022Review
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Authors and funding
11 authors.
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No grant is acknowledged in the PubMed record.
Abstract
introductionClinical indicators or pathological features alone cannot reliably predict renal survival in patients with biopsy-confirmed diabetic nephropathy (DN). Therefore, this analysis sought to develop and validate a predictive model incorporating both clinical and pathological markers to predict renal outcomes in patients with biopsy-confirmed DN.
methodsA predictive nomogram was developed based upon data pertaining to 194 patients with biopsy-confirmed DN. The prognostic relevance of individual clinicopathological variables was assessed through univariate and multivariate Cox regression analyses. A prognostic nomogram was then developed and validated based upon concordance (C)-index values and calibration curves. Internal validation was conducted through bootstrap resampling, while the clinical utility of this model was assessed via a decision curve analysis (DCA) approach.
resultsNephrotic-range 24-h proteinuria, late-stage CKD, glomerular classification III-IV, and IFTA score 2-3 were all identified as independent predictors of poor renal outcomes in DN patients and were incorporated into our final nomogram. Calibration curves revealed good agreement between predicted and actual 3- and 5-year renal survival in DN patients with the C-index value for this nomogram at 0.845 (95% CI: 0.826-0.864). DCA revealed that our nomogram was superior to models based solely upon clinical indicators.
conclusionA predictive nomogram incorporating clinical and pathological indicators was developed and validated for the prediction of renal survival outcomes in patients with biopsy-confirmed DN. This model will be of value to clinicians, as it can serve as an easy-to-use and reliable tool for physicians to guide patient management based on individualized risk.
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