Наукові праці. Кафедра інфекційних хвороб

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    Symptom‐based case definitions for COVID‐19: Time and geographical variations for detection at hospital admission among 260,000 patients
    (2022-08-07) Gavrylov, Anatoliy; Tieroshyn, Vadym
    Introduction: Case definitions are used to guide clinical practice, surveillance and research protocols. However, how they identify COVID-19-hospitalised patients is not fully understood. We analysed the proportion of hospitalised patients with laboratory-confirmed COVID-19, in the ISARIC prospective cohort study database, meeting widely used case definitions. Methods: Patients were assessed using the Centers for Disease Control (CDC), European Centre for Disease Prevention and Control (ECDC), World Health Organization (WHO) and UK Health Security Agency (UKHSA) case definitions by age, region and time. Case fatality ratios (CFRs) and symptoms of those who did and who did not meet the case definitions were evaluated. Patients with incomplete data and non-laboratory-confirmed test result were excluded. Results: A total of 263,218 of the patients (42%) in the ISARIC database were included. Most patients (90.4%) were from Europe and Central Asia. The proportions of patients meeting the case definitions were 56.8% (WHO), 74.4% (UKHSA), 81.6% (ECDC) and 82.3% (CDC). For each case definition, patients at the extremes of age distribution met the criteria less frequently than those aged 30 to 70 years; geographical and time variations were also observed. Estimated CFRs were similar for the patients who met the case definitions. However, when more patients did not meet the case definition, the CFR increased. Conclusions: The performance of case definitions might be different in different regions and may change over time. Similarly concerning is the fact that older patients often did not meet case definitions, risking delayed medical care. Whileepidemiologists must balance their analytics with field applicability, ongoing revision of case definitions is necessary to improve patient care through early diagnosis and limit potential nosocomial spread.
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    ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19
    (2022) Gavrylov, Anatoliy; Tieroshyn, Vadym
    The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use.
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    Immunodiagnostics of cerebral toxoplasmosis depending on permeability of blood-brain barrier
    (2020) Bondarenko, A.; Katsapov, Dmytro; Gavrylov, Anatoliy; Didova, T.; Nahornyi, I.
    Objective: The aim of the work was to detect a diagnostic value of CNSToxoIndex - index of correlation between albumin concentration and anti-toxoplasma antibodies, which reflects local production of anti-toxoplasma IgG in CNS compared with their level in blood. Patients and methods: Materials and methods: 30 HIV-infected persons with the IV clinical stage (16 man and 14 women) aged from 25 to 49 years with clinical and instrumental signs of cerebral toxoplasmosis were selected from the general array of the patients treated in the Regional Clinical Infectious Hospital. A retrospective parallel detection of IgG T. gondii was performed in serum and CSF in patients, whose results of ELISA or PCR on T. gondii were positive. Blood serum and CSF were obtained from patients at the same time. All samples for analysis were stored at -20 °C and then tested on the RT-2100C Rayto Life and Analytical Sciences Co., Ltd (China) immunoassay analyser for quantitative detection of the level of specific anti-Toxicoplasma IgG. Detection of albumin concentration in serum and CSF was performed on the Chemray-120 Automated Biochemical Analyzer Rayto Life and Analytical Sciences Co., Ltd (China) using the Liquick Cor-ALBUMIN Diagnostic Kit. Results: Results: Specific IgG to T. gondii in blood plasma was found in 27 patients (90%) while in CSF only in 7 (23 %). The results of the research in this group of patients were represented by the following parameters: patient 1 (blood antiToxo IgG - 200 IU/ml, blood albumin - 36 g/l, CSF antiToxo IgG - 10 IU/ml, CSF albumin - 0.8 g/l, CNSToxolndex - 2.3); patient 2 (150 / 40 / 90 / 0.7 / 34.3, respectively); patient 3 (90 / 35 / 64 / 0.25 / 99.6); patient 4 (140 / 39/ 10/ 0.19/ 14.7); patient 5 (88 / 52 / 48 / 0.21 / 135.1); patient 6 (160 / 48 / 50 /0.15 / 100.0); patient 7 (122 / 42 / 15 / 0.17 / 30.4). Consequently, taking into consideration the diagnostic marker CNSToxolndex more than 10.0, cerebral toxoplasmosis was diagnosed only in six patients from seven, in whom anti-toxoplasma antibodies in CSF were detected. Patient 1, despite clinical symptoms similar to cerebral toxoplasmosis, and substitute signs of cerebral toxoplasmosis detected with the help of neuroimaging methods (volumetric formation of the right frontal lobe with a ring-shaped enhancement), availability of specific anti-toxoplasma antibodies in blood serum and CSF, diagnosis of cerebral toxoplasmosis has not been confirmed. M. tuberculosis DNA was found in CSF by PCR. Conclusion: Conclusions: CNSToxoIndex allows evaluating the local production of anti-toxoplasmic IgG in CNS and their diffusion from blood as a result of the blood-brain barrier damageand it is a powerful method of cerebral toxoplasmosis diagnostics in HIV-positive people as well.