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Zhou Y, Chu X, Jiang D, Wu X, Xu J, Qi H, Tang Y, Dai Y. Development and validation of a nomogram for risk prediction of nephrolithiasis recurrence in patients with primary hyperparathyroidism. Front Endocrinol (Lausanne) 2022; 13:947497. [PMID: 36120445 PMCID: PMC9470877 DOI: 10.3389/fendo.2022.947497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/10/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Nephrolithiasis is a common complication of primary hyperparathyroidism (PHPT), and the recurrence of nephrolithiasis in patients with PHPT is also an urgent concern. What is worse, there is a scarcity of recommended evaluation to predict the risk of nephrolithiasis recurrence in patients with PHPT. This study was aimed to develop and validate a nomogram to facilitate risk assessment in patients with PHPT. METHODS A total of 197 patients with PHPT were retrospectively included in this study from September 2016 to August 2021. Patients' demographic data, blood test parameters, urinalysis, stone parameters, and surgical intervention were collected. Extracted variables were submitted to a least absolute shrinkage and selection operator (LASSO) regression model. A nomogram was built and validated according to the area under the curve (AUC) value, calibration curve, and decision curve analysis. RESULTS According to the LASSO regression and logistic regression analyses, five predictors were derived from 22 variables: creatinine, uric acid, bilateral stone, multiplicity, and surgery. The AUC and concordance index of the training cohort and validation cohort were 0.829 and 0.856, and 0.827 and 0.877, respectively. The calibration curve analysis and the decision curve analysis showed that the nomogram had an adequate prediction accuracy. CONCLUSION We built a useful nomogram model to predict the risk of nephrolithiasis recurrence in patients with PHPT. This would assist clinicians to provide appropriate advices and managements for these patients.
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Affiliation(s)
- Yihong Zhou
- Department of Urology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Xi Chu
- Department of Urology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Dong Jiang
- Department of Urology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Xiang Wu
- Department of Urology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Jiarong Xu
- Department of Urology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Hao Qi
- Department of Urology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
| | - Yuxin Tang
- Department of Urology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
- *Correspondence: Yingbo Dai, ; Yuxin Tang,
| | - Yingbo Dai
- Department of Urology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, China
- Guangdong Provincial Key Laboratory of Biomedical Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, China
- *Correspondence: Yingbo Dai, ; Yuxin Tang,
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