METHOD
Development of medical nomenclature and algorithms for diagnosis and treatment of gout in outpatient settings
Pirogov Russian National Research Medical University, Moscow, Russia
Correspondence should be addressed: Ivan S. Osmolovsky
Ostrovityanova, 1, Moscow, 117997; оur.kb@navi_yksvoloms
Author contribution: Osmolovsky IS built and performed technical verification of the medical nomenclature and algorithms for the diagnosis and treatment of gout, analyzed information provided by the expert panel, wrote the technical section of the paper and prepared figures and tables; Zarubina TV proposed the design of the study, supervised the study, analyzed information provided by the expert panel and performed technical verification of the informational objects; Shostak NA, Kondrashov AA, Klimenko AA collected data for the informational objects, performed clinical verification of the informational objects and wrote the clinical section of this paper.
Compliance with ethical standards: the study was approved by the Ethics Committee of Pirogov Russian National Research Medical University (Protocol № 192 dated January 27, 2020).
- Ministerstvo zdravoohranenija Rossii. Podagra. Klinicheskie rekomendacii. 2018. Dostupno po ssylke: http://www.ma.cfuv.ru/ docs/249620/%D0%9A%D0%A0%20%D0%9F%D0%BE%D0% B4%D0%B0%D0%B3%D1%80%D0%B0.pdf. Russian.
- Vorobev PA, Curko VV, Eliseeva ME. Podagra v geriatricheskoj praktike. Klinicheskaja gerontologija. 2016; 22 (3–4). Russian.
- Karnakova MV, Kalyagin AN. Izmenilos' li klinicheskoe techenie podagry v poslednee vremja? Sovremennaja revmatologija. 2017; 11 (1): 23–27. Russian.
- Kirillova YeR. Vozmozhnosti ul'trazvukovogo issledovanija v diagnostike podagry. Prakticheskaja medicina. 2018; 16 (7): 117– 8. Russian.
- Eliseev MS. Klassifikacionnye kriterii podagry (rekomendacii ACR/ EULAR). Nauchno-prakticheskaja revmatologija. 2015; 53 (6): 581–5. Russian.
- Prikaz Ministerstva zdravoohranenija i social'nogo razvitija RF ot 15.05.2012 № 543n «Ob utverzhdenii Polozhenija ob organizacii okazanija pervichnoj mediko-sanitarnoj pomoshhi vzroslomu naseleniju» (red. 21 fevralja 2020 g.). Dostupno po ssylke: https:// base.garant.ru/70195856/. Russian.
- Rugol LV, Son IM, Menshikova LI. Vlijanie kadrovogo obespechenija pervichnoj mediko-sanitarnoj pomoshhi na jeffektivnost' ee dejatel'nosti. Social'nye aspekty zdorov'ja naselenija. 2020; 66 (3): 9. Russian.
- Son IM, Ivanova MA, Sokolovskaya TA, Lyucko VV, Dezhurny LI. Dejatel'nost' i obespechennost' vrachami-revmatologami v Rossijskoj Federacii, 2013–2017 g. Kardiovaskuljarnaja terapija i profilaktika. 2019; 18 (1): 134–42. Russian.
- Barskova VG, Eliseev MS, Vladimirov SA. Diagnostika mikrokristallicheskoj patologii sustavov metodom poljarizacionnoj mikroskopii (traktovka i metodicheskie rekomendacii k issledovaniju). Sovremennaja revmatologija. 2010; (1): 84–88. Russian.
- Zhuravlyova LV, Fyodorov VA. Podagra: trudnosti i oshibki svoevremennoj diagnostiki. Praktikujuchij lіkar. 2019; 3: 32–38. Russian.
- Frolov SV, Kulikov AYu, Ostapenko OA, Strygina EV. Sistemy podderzhki vrachebnyh reshenij v medicine. Nauchnyj zhurnal. 2018; 9 (32). Russian.
- Gavrilova TA, Kudryavcev DV, Muromcev DI. Inzhenerija znanij. Modeli i metody. M.: Lan', 2020; 324 s. Russian.
- Gavrilova TA, Horoshevskij VF. Bazy Znanij Intellektual'nyh Sistem. SPb.: Piter, 2000; 384 s. Russian.
- Berner ES, editor. Clinical Decision Support Systems. New York: Springer, 2007; 270 p.
- Wagholikar KB, Sundararajan V, Deshpande AW. Modeling paradigms for medical diagnostic decision support: A survey and future directions. J Med Syst. 2012; 36 (5): 3029–49. DOI: 10.1007/s10916-011-9780-4.
- Gribova VV, Kleshhev AS, Moskalenko FM, Timchenko VA, Fedorishhev LA, Shalfeeva EA. Oblachnaja platforma IACPaaS: tekushhee sostojanie i perspektivy razvitija. Informacionnye i matematicheskie tehnologii v nauke i upravlenii. 2016; 2: 94–100. Russian.
- Gribova VV, Petraeva MV, Okun DB, Shalfeeva EA. Ontologija medicinskoj diagnostiki dlja intellektual'nyh sistem podderzhki prinjatija reshenij. Ontol Des. 2018; 8 (1): 58–73. DOI: 10.18287/2223-9537-2018-8-1-58-73. Russian.
- Gosudarstvennyj reestr lekarstvennyh sredstv. Dostupno po ssylke: https://grls.rosminzdrav.ru/grls.aspx. Russian.
- Ministerstvo zdravoohranenija Rossijskoj Federacii. Associacija vrachej obshhej praktiki (semejnyh vrachej) Rossijskoj Federacii. Klinicheskie rekomendacii dlja vrachej obshhej praktiki (semejnyh vrachej). Podagra. 2015. Dostupno po ssylke: https:// endouroclinic.ru/media/file-galleries/qpbowb/Podagra%20 Rukovodstvo%202015.PDF. Russian.
- Shostak NA, Pravdjuk NG, Klimenko AA, Kondrashov AA. Bolevoj sindrom v revmatologii. Medicinskij sovet. 2013; 12: 113–7. Russian.
- Edinicy izmerenija. Dostupno po ssylke: https://nsi.rosminzdrav. ru/#!/refbook/1.2.643.5.1.13.13.11.1358. Russian.
- Qwaider SR, Abu Naser SS. Expert System for Diagnosing Ankle Diseases. Int J Eng Inf Syst. 2017; 1 (4): 89–101.
- Zheng C, Rashid N, Wu YL, et al. Using Natural Language Processing and Machine Learning to Identify Gout Flares From Electronic Clinical Notes. Arthritis Care Res. 2014; 66 (11): 1740– 8. DOI: 10.1002/acr.22324.
- Kiselev KV, Potehina AV, Osjaeva MK, i dr. Razrabotka nomenklatury ponjatij dlja sistemy podderzhki prinjatija vrachebnyh reshenij v oblasti diagnostiki stenokardii I–IV funkcional'nyh klassov. Evrazijskij kardiologicheskij zhurnal. 2018; 3: 14–19. Russian.
- Budykina AV, Kiselev KV, Rauzina SE, et al. Ontologija diagnostiki i lechenija zheludochno-kishechnyh krovotechenij s neustanovlennym istochnikom. V sbornike: Znanija-OntologiiTeorii (ZONT-2019). Materialy XII mezhdunarodnoj konferencii; Novosibirsk, 07–11 oktjabrja 2019 goda. Institut matematiki im. S.L. Soboleva SO RAN, 2019; s. 88–93. Russian.