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Tyutrin I.I.

Siberian State Medical University

Slizevich D.S.

National Research Tomsk Polytechnic University

Klimenkova V.F.

Siberian State Medical University

Shpisman M.N.

Siberian State Medical University

Kotlovskaya L.S.

Goldberg Research Institute of Pharmacology and Regenerative Medicine

Zhukov E.L.

National Research Tomsk Polytechnic University

Gulyayev N.I.

Vishnevsky Third Central Military Clinical Hospital

Momot D.A.

Altai State Medical University

Tarabrin O.A.

Odessa National Medical University

Udut V.V.

Goldberg Research Institute of Pharmacology and Regenerative Medicine

Decision-making system for on-line assessment of hemostatic potential based on neural networks

Authors:

Tyutrin I.I., Slizevich D.S., Klimenkova V.F., Shpisman M.N., Kotlovskaya L.S., Zhukov E.L., Gulyayev N.I., Momot D.A., Tarabrin O.A., Udut V.V.

More about the authors

Journal: Russian Journal of Anesthesiology and Reanimatology. 2022;(1): 68‑75

DOI: 10.17116/anaesthesiology202201168

Views: 1133

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Table of contents

To cite this article:

Tyutrin II, Slizevich DS, Klimenkova VF, et al. . Decision-making system for on-line assessment of hemostatic potential based on neural networks. Russian Journal of Anesthesiology and Reanimatology. 2022;(1):68‑75. (In Russ.)
https://doi.org/10.17116/anaesthesiology202201168

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OBJECTIVE

To develop the technology for hemostatic monitoring based on express assessment of hemostatic potential of native blood with neural networks.

MATERIAL AND METHODS

The authors described the «Vector» system for on-line assessment of hemostatic state by the method of low-frequency piezothromboelastography.

RESULTS

Considering data of more than 3.000 studies, we found 11 possible variants of phenotypes of hemostatic potential. The last ones were based on analysis of all hemostatic stages (proteolysis, polymerization and fibrinolysis), as well as structural and chronometric components of fibrinogenesis.

CONCLUSION

Rapid integrative assessment of hemostatic potential of native blood has not only diagnostic, but also prognostic value. Indeed, this system is valuable to minimize the number of errors associated with assessing the functional state of hemostasis and significantly reduce the time of decision-making in each situation.

Keywords:

hemostasis
decision-making support system
DSS
low-frequency piezothromboelastography

Authors:

Tyutrin I.I.

Siberian State Medical University

Slizevich D.S.

National Research Tomsk Polytechnic University

Klimenkova V.F.

Siberian State Medical University

Shpisman M.N.

Siberian State Medical University

Kotlovskaya L.S.

Goldberg Research Institute of Pharmacology and Regenerative Medicine

Zhukov E.L.

National Research Tomsk Polytechnic University

Gulyayev N.I.

Vishnevsky Third Central Military Clinical Hospital

Momot D.A.

Altai State Medical University

Tarabrin O.A.

Odessa National Medical University

Udut V.V.

Goldberg Research Institute of Pharmacology and Regenerative Medicine

Received:

16.03.2021

Accepted:

16.08.2021

List of references:

  1. Farjah F. Commentary: Predicting diagnostic outcomes may aid clinical decision making. The Journal of Thoracic and Cardiovascular Surgery. 2020;159(6):2508-2509. https://doi.org/10.1016/j.jtcvs.2019.12.042
  2. Shipe ME, Deppen SA, Farjah F, Grogan EL. Developing prediction models for clinical use using logistic regression: an overview. Journal of Thoracic Disease. 2019;11(suppl 4):574-584.  https://doi.org/10.21037/jtd.2019.01.25
  3. Ohara S, Suda K, Tomizawa K, Takemoto T, Fujino T, Hamada A, Koga T, Nishino M, Chiba M, Sato K, Shimoji M, Soh J, Mitsudomi T. Prognostic value of plasma fibrinogen and D-dimer levels in patients with surgically resected non-small cell lung cancer. Surgery Today. 2020;50(11):1427-1433. https://doi.org/10.1007/s00595-020-02019-1
  4. Shui M, D’Angelo L, Croteau SE. Low von Willebrand factor in pediatric patients: Retrospective analysis of 293 cases informs diagnostic and therapeutic decision making. Pediatric Blood and Cancer. 2020;67(9):e28497. https://doi.org/10.1002/pbc.28497
  5. Ronenson AM, Shifman EM, Kulikov AV, Raspopin YuS. Reference values of rotational thromboelastometry in pregnancy and parturition: a systematic review and meta-analysis. Russian Journal of Anaesthesiology and Reanimatology. 2021;(3):28-40.  https://doi.org/10.17116/anaesthesiology202103128.
  6. Kairov GT, Tyutrin II, Udut VV, Klimenkova VF. Informative value of «global tests» in assessing the functional state of the hemostasis system of healthy women. Tromboz, Gemostaz i Reologiya. 2016;67(S3):184-185. (In Russ.).
  7. Dolgov VV, Svirin PV. Laboratornaya diagnostika narushenij gemostaza. Tver’: OOO «Izdatel’stvo Triada»; 2005. (In Russ.).
  8. Sistema agregatnogo sostoyaniya krovi v norme i patologii. Pod red. Gavrilova O.K. M.: Izdatel’stvo «Meditcina»; 1982. (In Russ.).
  9. Tyutrin II, Udut VV. Nizkochastotnaya p’ezotromboelastografiya cel’noj krovi: algoritmy diagnostiki i korrekcii gemostaziologicheskih rasstrojstv. Tomsk: Izdatel’skij Dom Tomskogo gosudarstvennogo universiteta; 2016. (In Russ.).
  10. Momot AP. Patologiya gemostaza. Principy i algoritmy kliniko-laboratornoj diagnostiki. Monografiya. SPb.: Forma T; 2006. (In Russ.).
  11. Kishkun AA. Klinicheskaya laboratornaya diagnostika: uchebnoe posobie. M.: GEOTAR-Media; 2010. (In Russ.).
  12. Tyutrin II, Klimenkova VF, Udut VV. A new technology for evaluating the pharmacodynamics of antiplatelet agents. Ekcpepimental’naya i klinicheckaya fapmakologiya. 2014;77(2):21-25. (In Russ.).
  13. Zabolotskikh I.B., Sinkov S.V., Lebedinsky K.M., Bulanov A.Yu., Roitman E.V. Perioperative management of patients with disorders of the hemostasis system. Russian Journal of Anesthesiology and Reanimatology 2018:1-2:58-81 
  14. Tyutrin II, Udut VV, Klimenkova VF. Functional state of the hemostasis system of pregnant women, according to the «global» test of low-frequency piezothromboelastography. Patologicheskaya fiziologiya i eksperimental’naya terapiya. 2014;58(2):61-67. (In Russ.).
  15. Wolberg AS. Trombin generation and fibrin clot structure. Blood Reviews. 2007;21(3):131-142.  https://doi.org/10.1016/j.blre.2006.11.001
  16. Hemker HC, Wielders S, Kessels H, Béguin S. Continuous registration of thrombin generation in plasma, its use for the determination of the thrombin potential. Thrombosis and Haemostasis. 1993;70(4):617-624. 
  17. Wang YY, Wan XH, Huang QQ, Wang G, Wan LJ, Liu OY. [Value of the simplified JSTH score criteria in the early diagnosis of sepsis-associated disseminated intravascular coagulation]. Zhonghua Yi Xue Za Zhi. 2020;100(11):837-841.  https://doi.org/10.3760/cma.j.cn112137-20190625-01410
  18. Pressly MA, Parker RS, Neal MD, Sperry JL, Clermont G. Accelerating availability of clinically-relevant parameter estimates from thromboelastogram point-of-care device. The Journal of Trauma and Acute Care Surgery. 2020;88(5):654-660.  https://doi.org/10.1097/TA.0000000000002608
  19. Chow JH, Fedeles B, Richards JE, Tanaka KA, Morrison JJ, Rock P, Scalea TM, Mazzeffi MA; TROPIC-Trauma Investigators. Thromboelastography Reaction-Time Thresholds for Optimal Prediction of Coagulation Factor Deficiency in Trauma. Journal of the American College of Surgeons. 2020;230(5):798-808.  https://doi.org/10.1016/j.jamcollsurg.2020.01.033
  20. Tyutrin II, KlimenkovaVF, Udut VV, Kairov GT, Aksenenko AE, Borzov EA. The effect of hypothermia on the state of hemostatic potential in healthy individuals. Rossijskij kardiologicheskij zhurnal. 2020;25(S1):14-15. (In Russ.).
  21. Curnow J. The Overall Hemostatic Potential (OHP) Assay. Methods in Molecular Biology. 2017;1646:523-531.  https://doi.org/10.1007/978-1-4939-7196-1_38
  22. Malyh VL. Decision support systems in medicine. Programmnye sistemy: teoriya i prilozheniya. 2019;10(2):155-184. (In Russ.).
  23. Tyutrin II, Zhukov EL, Slizevich DS. Baza dannyh pokazatelej, harakterizuyushchih sostoyanie gemostaticheskogo potenciala uslovno zdorovyh dobrovol’cev sibirskoj populyacii. Svidetel’stvo №RU 2019620555. 01.04.19. (In Russ.).
  24. Tyutrin II, Klimenkova VF, Bochkov YuA. Baza dannyh pokazatelej, harakterizuyushchih sostoyanie gemostaticheskogo potenciala uslovno zdorovyh beremennyh zhenshchin. Svidetel’stvo №RU 2019622415. 18.12.19. (In Russ.).
  25. Tyutrin II, Zhukov EL, Slizevich DS. Sistema podderzhki prinyatiya reshenij «Vektor». Svidetel’stvo №2019615166. 19.04.19. (In Russ.).
  26. Demkin OV, Mel’nichuk SV, Tyutrin II, Demkin VP, Udut VV. Physical principles of the method of low-frequency piezothromboelastography for studying the rheological properties of whole blood. Izvestiya vysshih uchebnyh zavedenij. Fizika. 2019;62(6):47-56. (In Russ.).
  27. Chistyakov CP. Random forests: an overview. Trudy Karel’skogo nauchnogo centra Rossijskoj akademii nauk. 2013;1:117-136. (In Russ.).
  28. Nazarenko GI, Kishkun AA. Klinicheskaya ocenka rezul’tatov laboratornyh issledovanij. M.: Izdatel’stvo «Medicina»; 2000. (In Russ.).
  29. Coleman LS. A stress repair mechanism that maintains vertebrate structure during stress. Cardiovascular and Hematological Disorders Drug Targets. 2010;10(2):111-137.  https://doi.org/10.2174/187152910791292538

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