Abstract
Purpose
To construct a nomogram for evaluation of the recurrence risk of upper urinary tract stones in patients.
Methods
We retrospectively reviewed the clinical data of 657 patients with upper urinary tract stones and divided them into stone recurrence group and non-recurrence group. Blood routine, urine routine, biochemical, and urological CT examinations were searched from the electronic medical record, relevant clinical data were collected, including age, BMI, stones number and location, maximum diameter, hyperglycemia, hypertension, and relevant blood and urine parameters. The Wilcoxon rank-sum test, independent sample t test, and Chi-square test were used to preliminarily analyze the data of the two groups, then LASSO and logistic regression analysis were used to find out the significant difference indicators. Finally, R software was used to draw a nomogram to construct the model, and ROC curve was drawn to evaluate the sensitivity and specificity.
Results
The results showed that multiple stones (OR: 1.832, 95% CI 1.240–2.706), bilateral stones (OR: 1.779, 95% CI 1.226–2.582), kidney stones (OR: 3.268, 95% CI 1.638–6.518), and kidney ureteral stones (OR: 3.375, 95% CI 1.649–6.906) were high risk factors. And the stone recurrence risk was positively correlated with creatinine (OR: 1.012, 95% CI 1.006–1.018), urine pH (OR: 1.967, 95% CI 1.343–2.883), Apo B (OR: 4.189, 95% CI 1.985–8.841) and negatively correlated with serum phosphorus (OR: 0.282, 95% CI 0.109–0.728). In addition, the sensitivity and specificity of the prediction model were 73.08% and 61.25%, diagnosis values were greater than any single variable.
Conclusion
The nomogram model can effectively evaluate the recurrence risk of upper urinary stones, especially suitable for stone postoperative patients, to help reduce the possibility of postoperative stone recurrence.
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Data availability
Data are available with permission from the corresponding author.
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Acknowledgements
We were supported by the Natural Science Foundation of Anhui Province (1908085MH246), and the National Natural Science Foundation of China (82070724).
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KX and professor Hao were in charge of designing the project, KX and YX were in charge of writing, KX and QQ were in charge of statistical analysis, QH, JZ, and RY were in charge of collecting data. All the authors reviewed the manuscript.
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This article was a retrospective study, and supported by the Ethics Committee of the First Affiliated Hospital of Anhui Medical University, the ethical batch number was Quick-PJ2022-14-32. Patient consent were not required in accordance with local or national guidelines.
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11255_2023_3698_MOESM1_ESM.tif
Supplementary file1 Urea, creatinine (Cr), cystatin C, serum phosphorus (P), apo B, and urine pH expression levels in the stone recurrence and non-recurrence groups. A-E. The expression level of urea, creatinine (Cr), cystatin C, apo B, and urine pH were higher in stone recurrence group than stone non-recurrence group; F. Serum phosphorus (P) levels were lower in stone recurrence group than stone non-recurrence group (TIF 1885 KB)
11255_2023_3698_MOESM2_ESM.tif
Supplementary file2 Nomogram of upper urinary tract stones prediction model including serum creatinine and serum phosphate as mg/dl (TIF 17276 KB)
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Xia, K., Xu, Y., Qi, Q. et al. Establishment of a new predictive model for the recurrence of upper urinary tract stones. Int Urol Nephrol 55, 2411–2420 (2023). https://doi.org/10.1007/s11255-023-03698-8
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DOI: https://doi.org/10.1007/s11255-023-03698-8