Development and validation of a nomogram for predicting hyperphosphatemia in non-dialysis patients with chronic kidney disease

The nomogram model was highly accurate in identifying CKD subpopulations at an elevated risk of serum phosphorus metabolic disorders. Our model can be utilized for prospective monitoring and preventive intervention. Furthermore, through individualized risk assessments, the model can contribute to the development of customized treatment strategies that have the potential to markedly improve long-term prognosis.

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Publication Details

Journal
BMC Nephrology
Published
2025-09-02
DOI
https://doi.org/10.1186/s12882-025-04445-0
Primary Topic
Parathyroid Disorders and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a nomogram for predicting hyperphosphatemia in non-dialysis patients with chronic kidney disease

Qitong Su, Dongli Lu, Caiyun Zheng, Zhaochun Wu et al.
2 links
BMC Nephrology
Parathyroid Disorders and Treatments
article

Development and validation of a nomogram for predicting hyperphosphatemia in non-dialysis patients with chronic kidney disease

Qitong Su, Dongli Lu, Caiyun Zheng, Zhaochun Wu, Xianhui Zhao, Zhenghua Jiang, Shouli Wu
article en

Abstract

The nomogram model was highly accurate in identifying CKD subpopulations at an elevated risk of serum phosphorus metabolic disorders. Our model can be utilized for prospective monitoring and preventive intervention. Furthermore, through individualized risk assessments, the model can contribute to the development of customized treatment strategies that have the potential to markedly improve long-term prognosis.

BMC NephrologyVol. 26(1)
Fujian Medical University (CN)
Openalex Percentile: Top 75%
Parathyroid Disorders and Treatments
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Development and validation of a nomogram for predicting hyperphosphatemia in non-dialysis patients with chronic kidney disease — Qitong Su, Dongli Lu, et al. · BMC Nephrology (2025) | TGRS Research Map | TGRS