ORIGINAL RESEARCH
Urology
doi: 10.25005/2074-0581-2024-26-2-233-243
DIAGNOSTIC VALUE OF A PREDICTIVE MODEL FOR UPPER URINARY TRACT OBSTRUCTION

F.A. AKILOV1, SH.T. MUKHTAROV2, D.KH. MIRKHAMIDOV1, M.M. KHASANOV2, U.A. ABDUFATTAEV2, А.A. NOMANOV2

1Department of Urology, Tashkent Medical Academy, Tashkent, Republic of Uzbekistan
2Republican Specialized Scientific and Practical Medical Center of Urology, Tashkent, Republic of Uzbekistan

Objective: To develop predictive models for choosing rational treatment tactics in SVO.

Methods: Data from 655 patients aged 4 to 86 (average age 39.56±17.23 years) admitted to the Republican Specialized Scientific and Practical Medical Center of Urology in 2021-2023 with SVO were analyzed. There were 350 men (53.4%) and 305 women (46.6%) enrolled in the study. Patients were divided into groups according to the primary diagnoses: urolithiasis (UL) – 231 (35.3%), anomalies of the upper urinary tract (UUT) – 332 (50.7%), acquired diseases of the ureter – 92 (14.0%).

Results: Critical Z-values (cut-off points) were calculated for each group, determining the complicated course of SVO. In the UL group, the Z-value was 1.910; in the group of patients with anomalies of the UUT, ureteropelvic stricture (UPS) – 1.998, ureteral stricture – 1.239, ureterocele – 1.894; in the group of patients with acquired diseases of the ureter, secondary ureteral strictures – 1.209, ureteral obliteration – 1.713. Conclusion: Discriminant prediction models showed high sensitivity and specificity for choosing the optimal tactical approach in patients with complicated SVO.

Keywords: Supravesical obstruction, hydronephrosis, prediction model, management tactics.

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Authors' information:

Akilov Farkhad Ataullaevich,
Doctor of Medical Sciences, Full Professor, Head of the Department of Urology, Tashkent Medical Academy
ORCID ID: 0000-0002-4434-5460
E-mail: akilovmd@gmail.com

Mukhtarov Shukhrat Tursunovich,
Doctor of Medical Sciences, Director, Republican Specialized Scientific and Practical Medical Center of Urology
Scopus ID: 6603276955
ORCID ID: 0000-0002-4352-2111
E-mail: msht_doc@mail.ru

Mirkhamidov Dzhalal Khalilovich,
Candidate of Medical Sciences, Associate Professor of the Department of Urology, Tashkent Medical Academy
Scopus ID: 6603276955
ORCID ID: 0000-0001-6472-337X
E-mail: azamat.mirkhamidov@gmail.com

Khasanov Mardon Mukhammadikulovich,
MD, PhD, Chief of the Scientific Laboratory № 2, Republican Specialized Scientific and Practical Medical Center of Urology
ORCID ID: 0000-0003-2061-1522
E-mail: mardon.khasanov.1984@gmail.com

Abdufattaev Ulugbek Avazzhonovich,
Chief of Ultrasound Department, Republican Specialized Scientific and Practical Medical Center of Urology
Scopus ID: 56156288000
ORCID ID: 0000-0003-4123-2695
E-mail: abdufattaev@gmail.com

Nomanov Anvar Abdukarimovich,
Junior Researcher of the Scientific Laboratory № 2, Republican Specialized Scientific and Practical Medical Center of Urology
ORCID ID: 0009-0007-1681-5860
E-mail: nomanov044@bk.ru

Information about support in the form of grants, equipment, medications

The authors did not receive financial support from manufacturers of medicines and medical equipment

Conflicts of interest: No conflict

Address for correspondence:

Khasanov Mardon Mukhammadikulovich,
MD, PhD Chief of the Scientific Laboratory № 2, Republican Specialized Scientific-Practical Medical Center of Urology

100109, Republic of Uzbekistan, Tashkent, Shifokorlar str., 1

Tel.: +998 (903) 518781

E-mail: mardon.khasanov.1984@gmail.com


This work is licensed under a Creative Commons Attribution 4.0 International License.

Materials on the topic:
  1. A SURGICAL DECISION-MAKING FRAMEWORK FOR OPTIMAL APPROACHES TO NEPHRECTOMY
  2. PREDICTIVE ABILITY OF IMMUNOGENETIC STUDIES FOR INCIDENCE OF UROLITHIASIS IN CHILDREN
  3. OPTIMIZATION OF THE SURGICAL TECHNIQUE OF EXTRAVESICAL URETERAL REIMPLANTATION

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