Clinical and Histological Predictors of Renal Survival in Patients with Biopsy-Proven Diabetic Nephropathy
| العنوان: | Clinical and Histological Predictors of Renal Survival in Patients with Biopsy-Proven Diabetic Nephropathy |
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| المؤلفون: | Qunzi Zhang, Junjie Jia, Ting Zhou, Xiaomei Li, Ze Li, Niansong Wang, Li Shen, Li He, Qiong Jiao, Ying Fan, Yiyun Wang |
| المصدر: | Kidney Diseases, Pp 1-9 (2021) Kidney Dis (Basel) |
| بيانات النشر: | S. Karger AG, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | medicine.medical_specialty, medicine.diagnostic_test, clinical characteristic, business.industry, diabetic nephropathy, Urology, prediction, urologic and male genital diseases, medicine.disease, RC31-1245, Diabetic nephropathy, renal biopsy, Biopsy, medicine, pathology, In patient, Renal survival, business, Internal medicine, Research Article |
| الوصف: | Introduction: Clinical 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. Methods: A 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. Results: Nephrotic-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. Conclusion: A 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. |
| تدمد: | 2296-9357 2296-9381 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f89ccc26ba2c4980bf2e15fda631d1a2 https://doi.org/10.1159/000518222 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....f89ccc26ba2c4980bf2e15fda631d1a2 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 22969357 22969381 |
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