Establishment of a new predictive model for the recurrence of upper urinary tract stones.

Humans Retrospective Studies Urinary Calculi Kidney Calculi / diagnosis Urinary Tract Risk Factors
Indicators Model Nomogram Recurrence Upper urinary tract stones

Journal

International urology and nephrology
ISSN: 1573-2584
Titre abrégé: Int Urol Nephrol
Pays: Netherlands
ID NLM: 0262521

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 24 04 2023
accepted: 30 06 2023
medline: 14 9 2023
pubmed: 12 7 2023
entrez: 12 7 2023
Statut: ppublish

Résumé

To construct a nomogram for evaluation of the recurrence risk of upper urinary tract stones in patients. 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. 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. 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.

Identifiants

DOI: 10.1007/s11255-023-03698-8 PMID: 37436572
pubmed: 37436572
doi: 10.1007/s11255-023-03698-8
pii: 10.1007/s11255-023-03698-8
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2411-2420

Subventions

Organisme : National Natural Science Foundation of China
ID : 82070724
Organisme : Natural Science Foundation of Anhui Province
ID : 1908085MH246

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Nature B.V.

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Auteurs

Kaiguo Xia (K)

Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Institute of Urology, Anhui Medical University, Hefei, 230022, Anhui, China.
Anhui Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022, Anhui, China.

Yuexian Xu (Y)

Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Institute of Urology, Anhui Medical University, Hefei, 230022, Anhui, China.
Anhui Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022, Anhui, China.

Qiao Qi (Q)

Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Institute of Urology, Anhui Medical University, Hefei, 230022, Anhui, China.
Anhui Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022, Anhui, China.

Qingfeng Huang (Q)

Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Institute of Urology, Anhui Medical University, Hefei, 230022, Anhui, China.
Anhui Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022, Anhui, China.

Rui Yao (R)

Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Institute of Urology, Anhui Medical University, Hefei, 230022, Anhui, China.
Anhui Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022, Anhui, China.

Junzhi Zhang (J)

Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China.
Institute of Urology, Anhui Medical University, Hefei, 230022, Anhui, China.
Anhui Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022, Anhui, China.

Zongyao Hao (Z)

Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China. haozongyao@163.com.
Institute of Urology, Anhui Medical University, Hefei, 230022, Anhui, China. haozongyao@163.com.
Anhui Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, 230022, Anhui, China. haozongyao@163.com.
ORCID: 0000-0003-3399-3689

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