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Possibility of predicting recurrence in the analysis of a database of patients with periprosthetic hip joint infection

https://doi.org/10.20340/vmi-rvz.2025.5.ITM.1

Abstract

Introduction. Musculoskeletal diseases and injuries are a pressing problem for millions of people. Damage to the hyaline cartilage leads to further degradation of the articular surface. Conservative treatment methods are ineffective, and at the final stage, a highly traumatic, costly procedure of joint arthroplasty is required. After it, in 3% of cases, complications occur in the form of periprosthetic infection, the treatment of which requires significant additional economic costs, reducing the quality of life and increasing the risk of disability of patients. Of particular interest is the prediction of recurrence of periprosthetic infection associated with the chronicity of the process and a significant increase in the duration of treatment and its costs.

The aim of the study. Creation of a structured database for subsequent analysis of factors influencing the risk of recurrence of periprosthetic infection of the hip joint using the Python programming language based on archival data of patients with hip joint arthroplasty.

Materials and methods. The work was carried out using information about patients with periprosthetic infection of the hip joint, who were treated at the Center in the period from 2010 to 2022. Discussion. The obtained data allow predicting the risk of recurrent PJI, as well as analyzing the causes leading to it, which will allow adjusting the further treatment regimen for such patients in order to avoid or minimize the development of recurrent periprosthetic infection.

Results. A structured database of cleaned and prepared data for further analysis was obtained with 1611 unique patients, each of whom was described by 101 unique attributes. The possibility of predicting the risk of developing periprosthetic infection based on the information obtained using an automatic algorithm was shown.

Conclusion: further analysis of the data bank will allow us to deepen our understanding of the causes of recurrent periprosthetic infection and consolidate the experience of traumatologists and orthopedists regarding the management of this cohort of patients.

About the Authors

M. S. Bozhokin
R.R. Vreden National Medical Research Center of Traumatology and Orthopedics; Institute of Cytology of the Russian Academy of Sciences
Россия

Mikhail S. Bozhokin, Cand. Sci. (Biol.), Researcher, Department of Wound Infection Prevention and Treatment, Rakhmanovsky Lane, Bldg. 3, Moscow, 127994;

Institute of Cytology, Russian Academy of Sciences, Tikhoretsky Ave., Bldg. 4, St. Petersburg, 194064



S. A. Bozhkova
R.R. Vreden National Medical Research Center of Traumatology and Orthopedics
Россия

Svetlana A. Bozhkova, Dr. Sci. (Med.), Professor, Head of the Department of Wound Infection Treatment and Prevention, 

Rakhmanovsky Lane, Bldg. 3, Moscow, 127994



A. A. Kochish
R.R. Vreden National Medical Research Center of Traumatology and Orthopedics
Россия

Andrey A. Kochish, Cand. Sci. (Med.), Researcher, R.R. Vreden National Medical Research Center of Traumatology and Orthopedics,

Rakhmanovsky Lane, Bldg. 3, Moscow, 127994



Yu. S. Korneva
R.R. Vreden National Medical Research Center of Traumatology and Orthopedics; North-Western Medical University named after I.I. Mechnikov; Smolensk State Medical University
Россия

Yuliya S. Korneva, Cand. Sci. (Med.), Associate Professor of Department of Pathological Anatomy, Rakhmanovsky Lane, Bldg. 3, Moscow, 127994;

Researcher, Department of Wound Infection Prevention and Treatment, Kirochnaya St., Bldg. 41, St. Petersburg, 191015;

Krupskoy St., Bldg. 28, Smolensk, 214019



M. L. Nikonorova
I.P. Pavlov First St. Petersburg State Medical University
Россия

Margarita L. Nikonorova, Cand. Sci. (Ped.), Associate Professor of Department of Physics, Mathematics, and Computer Science, 

 ul. Lev Tolstoy St., 6-8, St. Petersburg, 197022



F. Daloul
St. Petersburg State Technological Institute (Technical University)
Россия

Dalul Fahed, Student, 

Moskovsky Ave., 24-26/49, Building A, St. Petersburg, 190013



V. A. Artyukh
R.R. Vreden National Medical Research Center of Traumatology and Orthopedics
Россия

Vasiliy A. Artyukh, Dr. Sci. (Med.), Head of the Purulent Surgery Department, 

Rakhmanovsky Lane, Bldg. 3, Moscow, 127994



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Review

For citations:


Bozhokin M.S., Bozhkova S.A., Kochish A.A., Korneva Yu.S., Nikonorova M.L., Daloul F., Artyukh V.A. Possibility of predicting recurrence in the analysis of a database of patients with periprosthetic hip joint infection. Bulletin of the Medical Institute "REAVIZ" (REHABILITATION, DOCTOR AND HEALTH). 2025;15(5):289-296. (In Russ.) https://doi.org/10.20340/vmi-rvz.2025.5.ITM.1

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ISSN 2226-762X (Print)
ISSN 2782-1579 (Online)