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Wang K, Ge J, Han W, Wang D, Zhao Y, Shen Y, Chen J, Chen D, Wu J, Shen N, Zhu S, Xue B, Xu X. Risk factors for kidney stone disease recurrence: a comprehensive meta-analysis. BMC Urol 2022; 22:62. [PMID: 35439979 PMCID: PMC9017041 DOI: 10.1186/s12894-022-01017-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 04/12/2022] [Indexed: 12/23/2022] Open
Abstract
Background Kidney stone disease (KSD) is a common illness that causes an economic burden globally. It is easy for patients to relapse once they have suffered from this disease. The reported recurrence rate of KSD ranged from 6.1% to 66.9%. We performed this meta-analysis to identify various potential risk factors for the recurrence of KSD. Methods The PubMed, Embase and Web of Science databases were searched using suitable keywords from inception to Mar 2022. A total of 2,663 records were collected initially. After screening the literature according to the inclusion and exclusion criteria, 53 articles (40 retrospective studies; 13 prospective studies) including 488,130 patients were enrolled. The study protocol was registered with PROSPERO (No. CRD42020171771). Results The pooled results indicated that 12 risk factors including younger age (n = 18), higher BMI (n = 16), family history of kidney stones (n = 12), personal history of kidney stones (n = 11), hypertension (n = 5), uric acid stone (n = 4), race of Caucasian (n = 3), suspected kidney stone episode before the first confirmed stone episode (n = 3), surgery (n = 3), any concurrent asymptomatic (nonobstructing) stone (n = 2), pelvic or lower pole kidney stone (n = 2), and 24 h urine test completion (n = 2) were identified to be associated with KSD recurrence. In the subgroup analysis, patients with higher BMI (OR = 1.062), personal history of nephrolithiasis (OR = 1.402), or surgery (OR = 3.178) had a higher risk of radiographic KSD recurrence. Conclusions We identified 12 risk factors related to the recurrence of KSD. The results of this analysis could serve to construct recurrence prediction models. It could also supply a basis for preventing the recurrence of KSD. Supplementary Information The online version contains supplementary material available at 10.1186/s12894-022-01017-4.
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Affiliation(s)
- Kai Wang
- Department of Urology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China
| | - Jing Ge
- Department of Urology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China
| | - Wenlong Han
- Department of Urology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China
| | - Dong Wang
- Department of Urology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China
| | - Yinjuan Zhao
- Collaborative Innovation Center of Sustainable Forestry in Southern China, College of Forestry, Nanjing Forestry University, Nanjing, 210037, Jiangsu Province, China
| | - Yanhao Shen
- Department of Urology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China
| | - Jiexun Chen
- Department of Urology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China
| | - Dongming Chen
- Department of Urology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China
| | - Jing Wu
- Department of Core Laboratory, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China
| | - Ning Shen
- China Exposomics Institute (CEI) Precision Medicine Co. Ltd, Shanghai, 200120, China
| | - Shuai Zhu
- Department of Urology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China.
| | - Bin Xue
- Department of Core Laboratory, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China.
| | - Xianlin Xu
- Department of Urology, Sir Run Run Hospital, Nanjing Medical University, 109 Longmian Road, Jiangning District, Nanjing, 211100, Jiangsu Province, China.
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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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