1. Tang N, Li D, Wang X, Sun Z. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia.J Th romb Haemost. 2020 Apr;18(4):844–847. doi: 10.1111/jth.14768. Epub 2020 Mar 13. PMID:32073213
2. Liu C, Jiang ZC, Shao CX, Zhang HG, Yue HM, Chen ZH, Ma BY, Liu WY, Huang HH, Yang J, Wang Y, Liu HY, Xu D, Wang JT, Yang JY, Pan HQ, Zou SQ, Li FJ, Lei JQ, Li X, He Q, Gu Y, Qi XL. [Preliminary study of the relationship between novel coronavirus pneumonia and liver function damage: a multicenter study]. Zhonghua Gan Zang Bing Za Zhi. 2020 Feb 20;28(2):148–152. doi: 10.3760/cma.j.issn.1007-3418.2020.02.003. PMID:32077660
3. Громова О. А. Торшин И. Ю. Важность цинка для поддержания активности белков врожденного противовирусного иммунитета: анализ публикаций, посвященных COVID-19. Профилактическая медицина. 2020;23(3):125–133. https://doi.org/10.17116/profmed202023031125.
4. Стефанюк О. В., Лазебник Л. Б. Поражения органов пищеварения при инфицировании SARS-CoV-2. Экспериментальная и клиническая гастроэнтерология. 2020;175(3): 4–9. DOI: 10.31146/1682-8658-ecg-175-3-4-9.
5. Jin X, Lian JS, Hu JH, Gao J, Zheng L, Zhang YM, Hao SR, Jia HY, Cai H, Zhang XL, Yu GD, Xu KJ, Wang XY, Gu JQ, Zhang SY, Ye CY, Jin CL, Lu YF, Yu X, Yu XP, Huang JR, Xu KL, Ni Q, Yu CB, Zhu B, Li YT, Liu J, Zhao H, Zhang X, Yu L, Guo YZ, Su JW, Tao JJ, Lang GJ, Wu XX, Wu WR, Qv TT, Xiang DR, Yi P, Shi D, Chen Y, Ren Y, Qiu YQ, Li LJ, Sheng J, Yang Y. Epidemiological, clinical and virological characteristics of 74 cases of coronavirus-infected disease 2019 (COVID-19) with gastrointestinal symptoms. Gut. 2020 Mar 24. pii: gutjnl-2020–320926. doi: 10.1136/gutjnl-2020-320926. PMID:32213556
6. Henry BM, de Oliveira MHS, Benoit S, Plebani M, Lippi G. Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis [published online ahead of print, 2020 Apr 10]. Clin Chem Lab Med. 2020;/j/cclm.ahead-of-print/cclm-2020-0369/cclm-2020-0369.xml. doi:10.1515/cclm-2020-0369
7. Wang Z, Du Z, Zhu F. Glycosylated hemoglobin is associated with systemic inflammation, hypercoagulability, and prognosis of COVID-19 patients. Diabetes Res Clin Pract. 2020;164:108214. doi:10.1016/j.diabres.2020.108214 PMID: 32416121
8. Masetti C, Generali E, Colapietro F, et al. High mortality in COVID-19 patients with mild respiratory disease [published online ahead of print, 2020 Jun 14]. Eur J Clin Invest. 2020; e13314. doi:10.1111/eci.13314
9. Yang H, Yang LC, Zhang RT, Ling YP, Ge QG. [Risks Factors for Death Among COVID-19 Patients Combined With Hypertension, Coronary Heart Disease or Diabetes]. Beijing Da Xue Xue Bao Yi Xue Ban. 2020;52(3):420–424. doi:10.19723/j.issn.1671-167X.2020.03.004
10. Novembrino C, Porcella A, Conte D, et al. Erythrocyte ferritin concentration: analytical performance of the immunoenzymatic IMx-Ferritin (Abbott) assay. Clin Chem Lab Med. 2005;43(4):449–453. doi:10.1515/CCLM.2005.079 PMID: 15899663
11. Ni M, Tian FB, Xiang DD, Yu B. Characteristics of inflammatory factors and lymphocyte subsets in patients with severe COVID-19 [published online ahead of print, 2020 May 29]. J Med Virol. 2020;10.1002/jmv.26070. doi:10.1002/jmv.26070
12. Торшин И. Ю., Громова О. А. Мировой опыт использования гидролизатов плаценты человека в терапии. Экспериментальная и клиническая гастроэнтерология. 2019;170(10): 79–89. DOI: 10.31146/1682-8658- ecg-170-10-79-89.
13. Torshin I. Yu., Rudakov K. V. On the Theoretical Basis of Metric Analysis of Poorly Formalized Problems of Recognition and Classification. Pattern Recognition and Image Analysis, 2015, Vol. 25, No. 4, pp. 577–587.
14. Torshin I. Yu., Rudakov K. V. Topological Data Analysis in Materials Science: The Case of High-Temperature Cuprate Superconductors. Pattern Recognition and Image Analysis, 2020, Vol. 30, No. 2, pp. 262–274. DOI: 10.1134/S1054661820020157
15. Torshin I. Yu., Rudakov K. V. On the Procedures of Generation of Numerical Features Over Partitions of Sets of Objects in the Problem of Predicting Numerical Target Variables. Pattern Recognition and Image Analysis, 2019, Vol. 29, No. 4, pp. 654–667. ISSN1054–6618 DOI: 10.1134/S1054661819040175
16. Callejas Rubio JL, Aomar Millán I, Moreno Higueras M, Muñoz Medina L, López López M, Ceballos Torres Á. Tratamiento y evolución del síndrome de tormenta de citoquinas asociados a infección por SARS-CoV-2 en pacientes octogenarios [Evolution and treatment of storm cytoquine syndrome associated to SARS-CoV-2 infection among octogenarians] [published online ahead of print, 2020 Jun 3]. Rev Esp Geriatr Gerontol. 2020;S0211-139X(20)30063-9. doi:10.1016/j.regg.2020.05.004
17. Zeng F, Huang Y, Guo Y, et al. Association of inflammatory markers with the severity of COVID-19: a metaanalysis [published online ahead of print, 2020 May 18]. Int J Infect Dis. 2020;96:467‐474. doi:10.1016/j.ijid.2020.05.055
18. Liu F, Li L, Xu M, et al. Prognostic value of interleukin-6, C-reactive protein, and procalcitonin in patients with COVID-19. J Clin Virol. 2020;127:104370. PMID: 32344321
19. Торшин И. Ю., Громова О. А., Лила А. М., Назаренко А. Г., Романов И. С., Федотова Л. Э., Ка лачева А. Г., Гоголева И. В. Таргетное действие глюкозамина сульфата при сочетании остеоартрита и опухолевой патологии. РМЖ. 2019;6:23–30.
20. Yeleswaram S, Smith P, Burn T, et al. Inhibition of cytokine signaling by ruxolitinib and implications for COVID-19 treatment [published online ahead of print, 2020 Jun 22]. Clin Immunol. 2020;108517. doi:10.1016/j.clim.2020.108517 PMID: 32585295
21. Bertoli S, Paubelle E, Bérard E, et al. Ferritin heavy/light chain (FTH1/FTL) expression, serum ferritin levels, and their functional as well as prognostic roles in acute myeloid leukemia. Eur J Haematol. 2019;102(2):131–142. PMID: 30325535
22. Li LQ, Huang T, Wang YQ, et al. COVID-19 patients’ clinical characteristics, discharge rate, and fatality rate of meta-analysis [published online ahead of print, 2020 Mar 12]. J Med Virol. 2020; doi:10.1002/jmv.25757
23. Торшин И. Ю., Громова О. А., Диброва Е. А., Громов А. Н., Назаренко О. А. Пептиды в составе препарата Лаеннек, потенцирующие его антивирусные эффекты в лечении атопического дерматита герпетической инфекции. Российский аллергологический журнал. 2018. Т. 15.№ 1–1. С. 82–90.
24. Feng G, Zheng KI, Yan QQ, et al. COVID-19 and Liver Dysfunction: Current Insights and Emergent Therapeutic Strategies. J Clin Transl Hepatol. 2020;8(1):18‐24. doi:10.14218/JCTH.2020.00018
25. Johnson CA, Levey AS, Coresh J, Levin A, Lau J, Eknoyan G. Clinical practice guidelines for chronic kidney disease in adults: Part II. Glomerular filtration rate, proteinuria, and other markers. Am Fam Physician. 2004 Sep 15;70(6):1091–7.
26. Cheng Y, Luo R, Wang K, et al. Kidney disease is associated with in-hospital death of patients with COVID-19. Kidney Int. 2020;97(5):829‐838. doi:10.1016/j.kint.2020.03.005
27. Е. Ю. Егорова, И. Ю. Торшин, О. А. Громова, А. И. Мартынов. Применение кардиоинтервалографии для скрининговой диагностики и оценки эффективности коррекции дефицита магния и коморбидных ему состояний. Терапевтический архив. 2015;87(8): 16–28. DOI:10.17116/terarkh201587816-28.
28. Iddir M, Brito A, Dingeo G, et al. Strengthening the Immune System and Reducing Inflammation and Oxidative Stress through Diet and Nutrition: Considerations during the COVID-19 Crisis. Nutrients. 2020;12(6): E1562. PMID: 32471251.
29. Торшин И. Ю., Громова О. А. Микронутриенты против коронавирусов (под ред. А. Г. Чучалина). Москва: ГЭОТАР-Медиа, 2020. – 112 с.: ил. – DOI: 10.33029/9704-5818-1-MVC-2020-1-112. ISBN978– 5–9704–5818–1.
