RuSIDA: the online resource for the collection, storage and analysis of epidemiologicel, demographic and clinical laboratory data of patients
https://doi.org/10.22328/2077-9828-2022-14-4-49-58
Abstract
Objective on creating a universal tool with Russian user interface (UI) to systematically collect and store epidemiological-demographic and clinical-laboratory data of patients with the possibility of their structured export for subsequent multifaceted analysis.
Materials and methods. When creating an online tool, the solutions of European colleagues used to conduct a multicenter study of EuroSIDA, including a list, algorithms for collecting, storing and exchanging data, were used as a model.
Research and discussion. A Russian UI online resource RuSIDA has been developed, hosted on the website http://hivgen.org/, designed to fulfill the tasks above. The tool requires authorized access and has been successfully tested on data collection from HIV-infected patients at several AIDS centers in the Russian Federation.
Conclusion. The developed online resource RuSIDA can be used to maintain medical electronic records, intralaboratory databases, as well as to conduct epidemiological monitoring of various nosologies and multicenter scientific studies.
About the Authors
A. I. KuznetsovaRussian Federation
Moscow
V. G. Bobkov
Russian Federation
Moscow
A. V. Lebedev
Russian Federation
Moscow
A. S. Tumanov
Russian Federation
Moscow
K. V. Kim
Russian Federation
Moscow
N. E. Chaikovskaia
Russian Federation
Moscow
A. G. Chudnovsky
Russian Federation
Moscow
A. N. Charushin
Russian Federation
Kirov
A. Yu. Pronin
Russian Federation
Moscow
Е. V. Drobyshevskaya
Russian Federation
Moscow
A. В. Shemshura
Russian Federation
Krasnodar
A. V. Turkin
Russian Federation
Vologda
Е. A. Ilyina
Russian Federation
Barnaul
V. V. Shevchenko
Russian Federation
Barnaul
T. V. Krylova
Russian Federation
Vologda
I. L. Kirillova
Russian Federation
Vologda
E. N. Begma
Russian Federation
Republic of Crimea, Simferopol
T. I. Bogatyreva
Russian Federation
Republic of Crimea, Simferopol
K. G. Prodanova
Russian Federation
Republic of Crimea, Simferopol
L. F. Sklyar
Russian Federation
Moscow
Е. V. Kazennova
Russian Federation
Moscow
M. R. Bobkova
Russian Federation
Moscow
References
1. Dash S., Shakyawar S.K., Sharma M., Kaushik S. Big data in healthcare: management, analysis and future prospects // J. Big. Data. 2019. Vol. 6. Р. 54. https://doi.org/10.1186/s40537-019-0217-0.
2. Wang L., Alexander C.A. Big data analytics in medical engineering and healthcare: methods, advances and challenges // J. Med. Eng. Technol. 2020. Vol. 44, No. 6. Р. 267–283. doi: 10.1080/03091902.2020.1769758.
3. Pipeline Gilead. 2022. Available online at: https://www.gilead.com/science-and-medicine/pipeline (accessed august 19, 2022).
4. Schürmann D., Rudd D.J., Zhang S. De Lepeleire I., Robberechts M., Friedman E., Keicher C., Hüser A., Hofmann J., Grobler J.A., Stoch S.A., Iwamoto M., Matthews R.P. Safety, pharmacokinetics, and antiretroviral activity of islatravir (ISL, MK-8591), a novel nucleoside reverse transcriptase translocation inhibitor, following single-dose administration to treatment-naive adults infected with HIV-1: an open-label, phase 1b, consecutive-panel trial // Lancet HIV. 2020. Vol. 7, No. 3. Р. e164-e172. doi: 10.1016/S2352-3018(19)30372-8.
5. ClinicalTrials.gov.2022. Study Evaluating the Efficacy, Safety, and Tolerability of Switching to Long-acting Cabotegravir Plus Long-acting Rilpivirine From Current Antiretroviral Regimen in Virologically Suppressed HIV-1-infected Adults — Full Text View — ClinicalTrials.gov (accessed Аugust 19, 2022).
6. Kim J., Vasan S., Kim J.H., Ake J.A. Current approaches to HIV vaccine development: a narrative review // J. Int. AIDS Soc. 2021. Vol. 7. Р. e25793. doi: 10.1002/jia2.25793.
7. Winias S., Radithia D., Savitri Ernawati D. Neuropathy complication of antiretroviral therapy in HIV/AIDS patients // Oral Dis. 2020. Vol. 1. Р. 149–152. doi: 10.1111/odi.13398.
8. Silva B.F., Peixoto G., da Luz S.R. de Moraes S., Peres S.B. Adverse effects of chronic treatment with the Main subclasses of highly active anti-retroviral therapy: a systematic review // HIV Med. 2019. Vol. 7. Р. 429–438. doi: 10.1111/hiv.12733.
9. Santoro M.M., Armenia D., Teyssou E. Santos J.R., Charpentier C., Lambert-Niclot S., Antinori A., Katlama C., Descamps D., Perno C.F., Calvez V., Paredes R., Ceccherini-Silberstein F., Marcelin A.G. Virological efficacy of switch to DTG plus 3TC in a retrospective observational cohort of suppressed HIV-1 patients with or without past M184V — The LAMRES Study // J. Glob. Antimicrob. Resist. 2022. Vol. S22137165(22)00189-8. doi: 10.1016/j.jgar.2022.07.022.
10. Chastain D., Badowski M., Huesgen E. Pandit N.S., Pallotta A., Michienzi S. Optimizing Antiretroviral Therapy in Treatment-Experienced Patients Living with HIV: A Critical Review of Switch and Simplification Strategies. An Opinion of the HIV Practice and Research Network of the American College of Clinical Pharmacy. J Int Assoc Provid AIDS Care. 2019. Vol. 18. Р. 2325958219867325. doi: 10.1177/2325958219867325.
11. Feng Q., Zhou A., Zou H., Ingle S., May M.T., Cai W., Cheng C.Y., Yang Z., Tang J. Quadruple versus triple combination antiretroviral therapies for treatment naive people with HIV: systematic review and meta-analysis of randomised controlled trials // BMJ. 2019. Vol. 366. Р. l4179. doi: 10.1136/bmj.l4179.
12. Boyd M.A., Boffito M., Castagna A. Estrada V. Rapid initiation of antiretroviral therapy at HIV diagnosis: definition, process, knowledge gaps // HIV Med. 2019. Vol. 1. Р. 3–11. doi: 10.1111/hiv.12708.
13. Lau J.S.Y., Smith M.Z., Lewin S.R. McMahon J.H. Clinical trials of antiretroviral treatment interruption in HIV-infected individuals // AIDS. 2019. Vol. 33, No. 5. Р. 773–791. doi: 10.1097/QAD.0000000000002113.
14. Nhean S., Tseng A., Back D. The intersection of drug interactions and adverse reactions in contemporary antiretroviral therapy // Curr. Opin. HIV AIDS. 2021. Vol. 16, No. 6. Р. 292–302. doi: 10.1097/COH.0000000000000701
15. Cadet M.J. Antiretroviral therapies and corticosteroids: Drug-drug interactions // Nurse Pract. 2021. Vol. 46, No. 12. Р. 40–47. doi: 10.1097/01.NPR.0000798224.30305.d1.
16. Bukkems V.E., Colbers A., Marzolini C. Molto J., Burger D.M. Drug-Drug Interactions with Antiretroviral Drugs in Pregnant Women Living with HIV: Are They Different from Non-Pregnant Individuals? // Clin. Pharmacokinet. 2020. Vol. 59, No. 10. Р. 1217–1236. doi: 10.1007/s40262020-00914-x.
17. Areri H.A., Marshall A., Harvey G. Interventions to improve self-management of adults living with HIV on Antiretroviral Therapy: A systematic review // PLoS ONE. 2020. Vol. 15, No. 5. Р. e0232709. https://doi.org/10.1371/journal.pone.0232709.
18. Euresist Data Analysis — database. Accessed August 03, 2022.
19. Laut K., Kirk O., Rockstroh J. et al. The EuroSIDA study: 25 years of scientific achievements // HIV Med. 2020. Vol. 2. Р. 71–83. doi: 10.1111/hiv.12810.
20. Rosen-Zvi M., Altmann A., Prosperi M. Aharoni E., Neuvirth H., Sönnerborg A., Schülter E., Struck D., Peres Y., Incardona F., Kaiser R., Zazzi M., Lengauer T. Selecting anti-HIV therapies based on a variety of genomic and clinical factors // Bioinformatics. 2008. Vol. 24, No. 13. Р. i399-i406. doi: 10.1093/bioinformatics/btn141.
21. Zazzi M., Incardona F., Rosen-Zvi M., Prosperi M., Lengauer T., Altmann A., Sonnerborg A., Lavee T., Schülter E., Kaiser R. Predicting response to antiretroviral treatment by machine learning: the EuResist project // Intervirology. 2012. Vol. 55, No. 2. Р. 123–127. doi: 10.1159/000332008.
22. Lawyer G., Altmann A., Thielen A., Zazzi M., Sönnerborg A., Lengauer T. HIV-1 mutational pathways under multidrug therapy // AIDS Res Ther. 2011. Vol. 8. Р. 26. doi: 10.1186/1742-6405-8-26.
23. Kuznetsova A., Lebedev A., Gromov K., Kazennova E., Zazzi M., Incardona F., Sönnerborg A, Bobkova M. Pre-existing singleton E138A muta-tions in the reverse transcriptase gene do not affect the efficacy of first-line antiretroviral therapy regimens using rilpivirine in human immunodeficiency virus-infected patients // Clinical case reports. 2022. Vol. 10, No. 2. Р. e05373. https://doi.org/10.1002/ccr3.5373.
24. Miranda M.N.S., Pingarilho M., Pimentel V., Martins M.D.R.O., Kaiser R., Seguin-Devaux C., Paredes R., Zazzi M., Incardona F., Abecasis A.B. Trends of Transmitted and Acquired Drug Resistance in Europe From 1981 to 2019: A Comparison Between the Populations of Late Presenters and Non-late Presenters // Front. Microbiol. 2022. Vol. 13. Р. 846943. doi: 10.3389/fmicb.2022.846943.
25. Miranda M.N.S., Pingarilho M., Pimentel V. Martins M.D.R.O., Vandamme A.M., Bobkova M., Böhm M., Seguin-Devaux C., Paredes R., Rubio R., Zazzi M., Incardona F., Abecasis A. Determinants of HIV-1 Late Presentation in Patients Followed in Europe // Pathogens. 2021. Vol. 10, No. 7. Р. 835. doi: 10.3390/pathogens10070835.
26. Myznikova A.I., Kuevda D.A. Electronic database of HIV resistance to antiretroviral drugs. Materials of the VII All-Russian Scientific and practical conference “Molecular diagnostics”. Moscow, 2010, pp. 49–52 (In Russ.)].
27. Lapovok I.A., Lopatukhin A.E., Kireev D.E., Kazennova E.V., Lebedev A.V., Bobkova M.R., et al. Molecular epidemiological analysis of HIV-1 variants circulating in Russia in 1987–2015. Ter Arkh., 2017, Vol. 89, No. 11, рр. 44–49 (In Russ.)]. doi: 10.17116/terarkh2017891144-49 (In Russ.)].
28. Tarasova O., Rudik A., Kireev D., Poroikov V. RHIVDB: A Freely Accessible Database of HIV Amino Acid Sequences and Clinical Data of Infected Patients // Front. Genet. 2021. Vol. 12. Р. 679029. doi: 10.3389/fgene.2021.679029.
29. Standard Operating Procedure for data transfer in RESPOND, EuroSIDA, and CARE. Version 5.0. chip.dk. Accessed December 20, 2021.
Review
For citations:
Kuznetsova A.I., Bobkov V.G., Lebedev A.V., Tumanov A.S., Kim K.V., Chaikovskaia N.E., Chudnovsky A.G., Charushin A.N., Pronin A.Yu., Drobyshevskaya Е.V., Shemshura A.В., Turkin A.V., Ilyina Е.A., Shevchenko V.V., Krylova T.V., Kirillova I.L., Begma E.N., Bogatyreva T.I., Prodanova K.G., Sklyar L.F., Kazennova Е.V., Bobkova M.R. RuSIDA: the online resource for the collection, storage and analysis of epidemiologicel, demographic and clinical laboratory data of patients. HIV Infection and Immunosuppressive Disorders. 2022;14(4):49-58. (In Russ.) https://doi.org/10.22328/2077-9828-2022-14-4-49-58