PREDICTION OF SURGICAL SITE INFECTION IN SPINE SURGERY
https://doi.org/10.14531/ss2018.2.84-90
Abstract
Objective. To analyze prognostic factors for the development of surgical site infection following spine surgery and evaluate rating values for each of them.
Material and Methods. The data on 325 patients who underwent spinal surgery were analyzed. Data on 177 patients of the retrospective group who underwent spinal surgery without infectious complications were compared with the data of patients who had local complications of infectious genesis within one year after the operation (36 observations).
Results. The study resulted in creation of a learning matrix which became the basis for mathematical prediction and algorithm for the prevention of local infectious complications in patients who underwent spinal surgery. Seventeen criteria for predicting the development of surgical site infection were identified.
Conclusion. Approbation of the program in a prospective study (112 cases) with a follow-up period of 12 months after surgery demonstrated significant decrease in the incidence of surgical site infection as compared with that in the retrospective study group (from 16.9 to 9.8 %).
About the Authors
V. M. Haydarov
Mechnikov North-West State Medical University; Novosibirsk Research Institute of Traumatology and Orthopaedics n.a. Ya.L. Tsivyan
Russian Federation
Russian Federation
Valery Mikhailovich Haydarov - teaching assistant of the Department of Traumatology, Orthopaedics, and Field Surgery, Mechnikov N-W MUPiskarevsky ave; applicant, NRITOn.a. Ya.L. Tsivyan.
47, 195067, St. Petersburg; Frunze str., 17, Novosibirsk, 630091
A. N. Tkachenko
Mechnikov North-West State Medical University
Russian Federation
Russian Federation
Alexandr Nikolayevich Tkachenko - DMSc, Prof., Department of Traumatology, Orthopaedics, and Field Surgery.
Piskarevsky ave., 47, 195067, St. Petersburg
I. A. Kirilova
Novosibirsk Research Institute of Traumatology and Orthopaedics n.a. Ya.L. Tsivyan
Russian Federation
Russian Federation
Irina Anatolyevna Kirilova - DMSc, Deputy Director for Research Affairs.
Frunze str., 17, Novosibirsk, 630091
D. Sh. Mansurov
Mechnikov North-West State Medical University
Russian Federation
Russian Federation
Djalolidin Shamsidinovich Mansurov - aspirant Department of Traumatology, Orthopaedics, and Field Surgery.
Piskarevsky ave., 47, 195067, St. Petersburg
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Review
For citations:
Haydarov V.M., Tkachenko A.N., Kirilova I.A., Mansurov D.Sh. PREDICTION OF SURGICAL SITE INFECTION IN SPINE SURGERY. Russian Journal of Spine Surgery (Khirurgiya Pozvonochnika). 2018;15(2):84-90. https://doi.org/10.14531/ss2018.2.84-90
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