Prognostication of thrombotic and hemorrhagic events in patients hospitalized with novel coronavirus infection COVID-19


DOI: https://dx.doi.org/10.18565/therapy.2022.6.41-53

Korshunova A.A., Kulikov A.N., Trofimov V.I., Teplov V.M., Kovalchuk Yu.P., Kadinskaya M.I., Ginzburg A.M., Lapin S.V.

Academician I.P. Pavlov First Saint Petersburg State Medical University of the Ministry of Healthcare of Russia
Abstract. Currently, there are only sporadic reports on the informative value of traditional risk scales for thrombosis and bleeding in patients with novel coronavirus infection (NCI) COVID-19 in the presence of COVID-associated coagulopathy.
The aim of the research was to assess the predictive ability of conventional thrombosis and bleeding prognostication scales in the cohort of NCI COVID-19 patients, and to develop the own predictive thrombosis scale.
Material and methods. The work was carried out on the basis of the Center for treatment of patients with NCI of I.P. Pavlov State medical university: medical records of 945 patients hospitalized in the Center from November 01, 2020 to March 05, 2021 were retrospectively analyzed, cases of hospitalization accompanied by thrombotic and hemorrhagic events were verified. To determine the efficacy of predicting the development of these complications before they occur, the parameters of all those examined persons at the time of admission were evaluated using the commonly known probability scales for thrombosis and bleeding.
Results. Twenty-seven thrombotic and 44 hemorrhagic events were identified, all of them were registered in patients with severe infection. The IMPROVEDD scale (AUC=0,83) was the most preferable for predicting thrombosis in patients with NCI COVID-19, according to the results of the accuracy and completeness analysis. When assessing hemorrhagic scales, the ATRIA scale had the highest AUC (0,92). The most significant parameters associated with thrombotic events were disease severity, extent of changes according to CT, type of anticytokine therapy, D-dimer and procalcitonin levels. AUC of the developed thrombosis scale was 0,92, which was significantly higher than the data of the best conventional models.
Conclusion. The commonly known thrombotic events prognostication scales have insufficient predictive accuracy in NCI COVID-19 patients, which makes the task of developing a special thrombosis scale relevant. Our proposed thrombosis scale is superior to the traditional scales in these characteristics, but requires prospective validation on a wide sample of patients with NCI COVID-19 infection.

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About the Autors


Alexandra A. Korshunova, deputy chief physician for clinical and expert work, Academician I.P. Pavlov First Saint Petersburg State Medical University of the Ministry of Healthcare of Russia. Address: 197022, Saint Petersburg, 6–8 Lva Tolstogo Str. E-mail: aftotrof@yandex.ru. ORCID: https://orcid.org/0000-0002-7419-7227
Alexander N. Kulikov, Dr. med. habil., professor, head of the Department of propaedeutics of internal diseases with the clinic, head of the Department of functional diagnostics, deputy chief physician of the clinic for the medical part (therapy), Academician I.P. Pavlov First Saint Petersburg State Medical University of the Ministry of Healthcare of Russia. Address: 197022, Saint Petersburg, 6–8 Lva Tolstogo Str. E-mail: ankulikov2005@yandex.ru.
ORCID: https://orcid.org/0000-0002-4544-2967
Vasily I. Trofimov, Dr. med. habil., professor, head of the Department of hospital therapy with the course of allergology and immunology named after academician M.V. Chernorutsky with the clinic, Academician I.P. Pavlov First Saint Petersburg State Medical University of the Ministry of Healthcare of Russia. Address: 197022, Saint Petersburg, 6–8 Lva Tolstogo Str. E-mail: trofvi@mail.ru
Vadim M. Teplov, Dr. med. habil., associate professor, head of the Department of emergency of Research Institute of Surgery and Emergency Medicine, Academician I.P. Pavlov First Saint Petersburg State Medical University of the Ministry of Healthcare of Russia. Address: 197022, Saint Petersburg, 6–8 Lva Tolstogo Str. E-mail: vadteplov@mail.ru. ORCID: https://orcid.org/0000-0002-4299-4379
Yuri P. Kovalchuk, PhD in Medicine, deputy chief physician of the clinic for laboratory diagnostics, Academician I.P. Pavlov First Saint Petersburg State Medical University of the Ministry of Healthcare of Russia. Address: 197022, Saint Petersburg, 6–8 Lva Tolstogo Str. E-mail: yuriikowalchuk@yandex.ru
Margarita I. Kadinskaya, PhD in Medicine, associate professor of Department of clinical laboratory diagnostics, Academician I.P. Pavlov First Saint Petersburg State Medical University of the Ministry of Healthcare of Russia. Address: 197022, Saint Petersburg, 6–8 Lva Tolstogo Str. E-mail: mkadinskaya@mail.ru
Alexander M. Ginzburg, PhD in Medicine, head of the laboratory – doctor of clinical laboratory diagnostics of the laboratory of preanalytical modification of biomaterial of the department of laboratory diagnostics, Academician I.P. Pavlov First Saint Petersburg State Medical University of the Ministry of Healthcare of Russia. Address: 197022, Saint Petersburg, 6–8 Lva Tolstogo Str. E-mail: ginzalex@yandex.ru
Sergei V. Lapin, PhD in Medicine, head of the Laboratory for diagnostics of autoimmune diseases of the Scientific and Methodological Center for molecular medicine of the Ministry of Healthcare of Russia, Academician I.P. Pavlov First Saint Petersburg State Medical University of the Ministry of Healthcare of Russia. Address: 197022, Saint Petersburg, 6–8 Lva Tolstogo Str. E-mail: svlapin@mail.ru


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