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Russian Military Medical
ORIGINAL ARTICLES Vol. 41 (4) 2022 Academy Reports
366
DOI: https://doi.org/10.17816/rmmar111863
Research Article
The preoperative assessment of the stroke risk
in oncosurgery
4
1, 3
1, 2
1
Nikolay V. Tsygan , Victoria A. Yakovleva , Evgeniy E. Fufaev , Ismail R. Eleskhanov ,
1
1
1
Kirill V. Sapozhnikov , Vasilii M. Nechiporuk , Ilya I. Dzidzava , Igor V. Litvinenko 1
1
Military Medical Academy, Saint Petersburg, Russia;
2 B.P. Konstantinov Petersburg Nuclear Physics Institute, National Research Centre "Kurchatov Institute", Gatchina, Leningrad region, Russia;
3 Raisa Gorbacheva Memorial Institute for Children Hematology and Transplantation, Saint Petersburg, Russia;
4 1477 Naval Clinical Hospital of the Pacific Fleet, Branch № 2, Petropavlovsk-Kamchatsky, Russia
AIM: of the research was to develop a mathematical model for the preoperative assessing of the stroke risk in surgical
operations for malignant neoplasms of the chest and abdomen for the early identification of high-risk patients optimization of
diagnostics and enhancing the efficacy of personalized preventive measures.
MATERIALS AND METHODS: 47 cases of perioperative stroke according to archived case histories patients with malignant
neoplasms of various localization — retrospective analysis anamnesis of life and underlying disease, analysis of clinical
and laboratory examination data, analysis of parameters associated with surgery and anesthetic aid, analysis of the clinical and
neuroimaging picture of perioperative stroke; 102 patients who underwent elective surgery for the malignant neoplasm of the
chest or abdomen — perioperative dynamic neurological support collection of anamnesis of life and disease, analysis of clini-
cal and laboratory examination data, neurological examination with NIHSS and mRankin scores, neuropsychological testing
using MoCA and FAB.
RESULTS: Risk factors for perioperative stroke in oncosurgical patients, as well as cerebroprotective factors have been
established. The valid mathematical model was developed for assessing of the likelihood of perioperative stroke in the surgical
treatment of malignant neoplasms of the chest and abdomen with a predictive power of 85.4%, sensitivity of 77%, and specific-
ity of 87%.
CONCLUSION: The proposed mathematical model allows preoperatively assess the risk of perioperative stroke in percent-
age (according to the anamnesis and medical records data) and identify the group of high-risk patients.
Keywords: malignant neoplasms of the chest or abdomen; oncosurgery; perioperative stroke; personalized prevention;
postoperative cerebral dysfunction; risk assessment; stratification by risk groups.
To cite this article:
Tsygan NV, Yakovleva VA, Fufaev EE, Eleskhanov IR, Sapozhnikov KV, Nechiporuk VM, Dzidzava II, Litvinenko IV. The preoperative assessment of the stroke
risk in oncosurgery. Russian Military Medical Academy Reports. 2022;41(4):365–370. DOI: https://doi.org/10.17816/rmmar111863
Received: 12.10.2022 Accepted: 19.10.2022 Published: 17.11.2022
The article can be used under the CC BY-NC-ND 4.0 license
© Authors, 2022