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Post a Comment Role of interactive survey in early diagnosis of chronic kidney diseases
- Authors: Burtseva E.A.1, Mishlanov V.Y.1, Anikeeva A.V.1, Selezneva V.I.2, Koshurnikova E.P.1, Chugainov S.V.2
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Affiliations:
- E.A. Vagner Perm State Medical University
- City Clinical Hospital № 4
- Issue: Vol 38, No 6 (2021)
- Pages: 74-82
- Section: Methods of diagnosis and technologies
- URL: https://journal-vniispk.ru/PMJ/article/view/75753
- DOI: https://doi.org/10.17816/pmj38674-82
- ID: 75753
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Abstract
Objective. To conduct a comparative study of the prevalence of specific symptoms in patients with kidney damage using the automated program "Electronic Polyclinic" to optimize the algorithm for early diagnosis of chronic kidney disease.
Materials and methods. 18 patients of the therapeutic unit with kidney lesions, confirmed by laboratory and instrumental studies, as well as 7 healthy persons were examined. The main problems of patients were identified by the method of interactive questioning with the help of the program "Electronic Polyclinic". Further, a statistical analysis of the data and a comparative study with the control group of healthy persons were carried out using STATISTICA 12.0 program.
Results. The main symptoms of kidney damage were reliably determined and a low sensitivity of individual symptoms in the diagnosis, in contrast to the syndromic approach, was revealed. It showed that in 100 % of cases the automated program "Electronic Polyclinic" detected the syndromes, that indicates its high efficiency. An algorithm for early diagnosis of chronic kidney disease was proposed, which consists in an initial interactive survey followed by examination formulated by the computer program.
Conclusions. The method of interactive survey using the automated program "Electronic Polyclinic" allows you to effectively identify the syndromes of kidney damage, makes a preliminary diagnosis and draws up a plan of examination for further confirmation of the diagnosis. Symptomatic diagnosis has a number of disadvantages including low sensitivity and specificity, so it yields to syndromic diagnosis.
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##article.viewOnOriginalSite##About the authors
Ekaterina Alekseevna Burtseva
E.A. Vagner Perm State Medical University
Author for correspondence.
Email: burtseva20@yandex.ru
third-year student of Medical Faculty
Russian Federation, 614990, Perm, st. Petropavlovskaya, 26.Vitaly Yurievich Mishlanov
E.A. Vagner Perm State Medical University
Email: permmed@hotmail.com
Corresponding Member of RAS, Professor, MD, PhD, Head Department of Propedeutics of Internal Diseases № 1
Russian Federation, 614990, Perm, st. Petropavlovskaya, 26.Anna Vladimirovna Anikeeva
E.A. Vagner Perm State Medical University
Email: anutaanikeeva@icloud.com
resident, Department of Propedeutics of Internal Diseases № 1
Russian Federation, 614990, Perm, st. Petropavlovskaya, 26.Victoria Ivanovna Selezneva
City Clinical Hospital № 4
Email: hosp4perm@mail.ru
therapeutist, Head of Therapeutic and Nursing Unit
Russian Federation, 613037, Perm, st. Kim, 2.Ekaterina Petrovna Koshurnikova
E.A. Vagner Perm State Medical University
Email: ekaterina_koshur@mail.ru
Candidate of Medical Sciences, Associated Professor, Department of Propedeutics of Internal Diseases № 1
Russian Federation, 614990, Perm, st. Petropavlovskaya, 26.Sergey Vladimirovich Chugainov
City Clinical Hospital № 4
Email: s-v-4@mail.ru
therapeutist
Russian Federation, 613037, Perm, st. Kim, 2.References
- Perm Region in numbers. 2019: A short statistical collection. Territorial body of the Federal State Statistics Service for the Perm Region. Perm 2019, available at: https://permstat.gks.ru/ storage/mediabank/пермский_край_в_цифрах2019(1).pdf. (in Russian).
- Tariff agreement for 2019 and for the planning period of 2020 and 2021, approved at the meeting of the Commission for the Development of the Territorial program of Compulsory Medical Insurance of the Perm Region on 28.12.2018, protocol 12 of 28.12.2018. Appendix № 20. Perm 2018 (in Russian).
- Tomilina N.A., Andrusev A.M., Peregudova N.G., Shinkarev M.B. Substitution therapy of terminal chronic renal failure. Report on the data of the All-Russian Register of Renal Replacement Therapy of the Russian Dialysis Society. Chast' pervaya. Nefrologiya i dializ 2017; 19(4): 1–95 (in Russian).
- Mishlanov V.Yu., Chuchalin V.A., Chereshnev A.V., Shubin I.V., Nikitin A.E. New Technologies in Rehabilitation of Patients with Respiratory Diseases. Prakticheskaya pulmonologiya 2019; 3: 28–31(in Russian).
- Nagaytseva S.S. Prevalence, risk factors and the possibility of early detection of chronic kidney disease in residents of Central Russia on the example of the Kolomenskoye district of the Moscow region: avtoref. ... kand. med. nauk. Moscow; 2015; 24 (in Russian).
- Mishlanov Ya.V., Mishlanov V.Yu., Mishlanova I.V., Mishlanova S.L. Certificate of state registration of the computer program "Electronic polyclinic" No. 2012614202, registration date 12.05.12 (in Russian).
- Chuchalin A.G., Chereshnev V.A., Mishlanov V.Yu., Mishlanov Ya.V., Nikitin A.E., Shubin I.V. Bioethics, artificial intelligence and medical diagnostics. Perm: PGMU 2019; 184 (in Russian).
- Mishlanov V., Chuchalin A., Chereshnev V., Poberezhets V., Vitacca M., Nevzorova V., Aisanov Z., Vizel A., Shubin I., Nikitin A., Zulkarneev R., Khovaeva Y. Scope and new horizons for implementation of m-Health/e-Health services in pulmonology in 2019. Monaldi Archives for Chest Disease. 2019; 89:1112.
- Rebrova O. Yu. Statistical analysis of medical data. Application of the Statistica application software package. Moscow: MediaSfera 2000; 312 (in Russian).
- Katkova A.V., Mishlanov V.Yu., Zhigulev A.N. Interactive survey of lung cancer patients using the automated system "Electronic polyclinic". Povolzhskiy onkologicheskiy vestnik 2019; 2: 65–73 (in Russian).
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