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Bervitskiy A.V.

Federal Center for Neurosurgery;
Research Institute of Clinical and Experimental Immunology — Branch of the Institute of Cytology and Genetics;
Novosibirsk State Medical University

Guzhin V.E.

Federal Center for Neurosurgery;
Novosibirsk State Medical University

Moisak G.I.

Federal Center for Neurosurgery;
Novosibirsk State University

Borisov N.N.

Novosibirsk State Medical University

Amelina E.V.

Novosibirsk State University

Rzayev D.A.

Federal Center for Neurosurgery;
Novosibirsk State Medical University;
Novosibirsk State University

The new algorithm for stratification of the risk of venous thromboembolic events in elective neurosurgery and its prognostic significance

Authors:

Bervitskiy A.V., Guzhin V.E., Moisak G.I., Borisov N.N., Amelina E.V., Rzayev D.A.

More about the authors

Journal: Burdenko's Journal of Neurosurgery. 2022;86(6): 7‑15

DOI: 10.17116/neiro2022860617

Read: 3552 times

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Table of contents

THE NEW ALGORITHM FOR STRATIFICATION OF THE RISK OF VENOUS THROMBOEMBOLIC EVENTS IN ELECTIVE NEUROSURGERY AND ITS PROGNOSTIC SIGNIFICANCE
THE NEW ALGORITHM FOR STRATIFICATION OF THE RISK OF VENOUS THROMBOEMBOLIC EVENTS IN ELECTIVE NEUROSURGERY AND ITS PROGNOSTIC SIGNIFICANCE

To cite this article:

Bervitskiy AV, Guzhin VE, Moisak GI, Borisov NN, Amelina EV, Rzayev DA. The new algorithm for stratification of the risk of venous thromboembolic events in elective neurosurgery and its prognostic significance. Burdenko's Journal of Neurosurgery. 2022;86(6):7‑15. (In Russ., In Engl.)
https://doi.org/10.17116/neiro2022860617

Подписка 2025 Журнал «Вопросы нейрохирургии» имени Н.Н. Бурденко (Burdenko's Journal of Neurosurgery)
 
МСФ на ЯМ
Использование инфографики авторами научных работ
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Abstract:

Early identification of risk groups is essential for effective and target prevention of venous thromboembolic events (VTE) in all areas of surgery. For this purpose, the authors has developed and put into practice an algorithm distinguishing the groups of low, moderate and high risk of VTE among neurosurgical patients.

OBJECTIVE

To assess predictive value of the developed algorithm for elective neurosurgical interventions.

MATERIAL AND METHODS

The study included 7914 patients who underwent surgery between January 2018 and December 2019. According to the algorithm, we identified the groups of low (1536 (19%) patients), moderate (4554 (58%) patients) and high risk (1824 (23%) patients). Moreover, patients were divided into subgroups depending on surgical procedure. We analyzed the incidence of VTE and mortality in all groups.

RESULTS. INCIDENCE

Of VTE with a 95% confidence interval in the low-risk group was 0.65% [0.26; 1.04], in the moderate risk group — 1.82% [1.47; 2.24], in the high-risk group — 12.61% [11.02; 14.09]. When comparing various surgical interventions, we revealed more common VTE after vascular microsurgery (15.62%), in patients with brain tumors (12.63%) and spinal cord tumors (6.52%).

CONCLUSION

The risk stratification algorithm has demonstrated its convenience and significant predictive value for determining the risk of VTE among elective neurosurgical patients. In addition, different incidence of VTE was demonstrated in patients with various neurosurgical diseases.

Keywords:

venous thromboembolism
deep vein thrombosis
pulmonary embolism
risk stratification

Authors:

Bervitskiy A.V.

Federal Center for Neurosurgery;
Research Institute of Clinical and Experimental Immunology — Branch of the Institute of Cytology and Genetics;
Novosibirsk State Medical University

Guzhin V.E.

Federal Center for Neurosurgery;
Novosibirsk State Medical University

Moisak G.I.

Federal Center for Neurosurgery;
Novosibirsk State University

Borisov N.N.

Novosibirsk State Medical University

Amelina E.V.

Novosibirsk State University

Rzayev D.A.

Federal Center for Neurosurgery;
Novosibirsk State Medical University;
Novosibirsk State University

Received:

07.11.2021

Accepted:

11.10.2022

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