Olga Miljukov
Overview
Explore the profile of Olga Miljukov including associated specialties, affiliations and a list of published articles.
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Articles
15
Citations
104
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0
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Recent Articles
1.
Xiang W, Steinbeis F, Dhindsa K, Kurth F, Lingscheid T, Thibeault C, et al.
Clin Infect Dis
. 2025 Jan;
PMID: 39792903
Background: Existing risk evaluation tools underperform in predicting intensive care unit (ICU) admission for patients with the Coronavirus Disease 2019 (COVID-19). This study aimed to develop and evaluate an accurate...
2.
Appel K, Lee C, de Miranda S, Maier D, Reese J, Anton G, et al.
Sci Rep
. 2024 Jun;
14(1):13607.
PMID: 38871878
Fair allocation of funding in multi-centre clinical studies is challenging. Models commonly used in Germany - the case fees ("fixed-rate model", FRM) and up-front staffing and consumables ("up-front allocation model",...
3.
Hopff S, Appel K, Miljukov O, Schneider J, Addo M, Bals R, et al.
Infection
. 2024 May;
52(6):2253-2267.
PMID: 38700656
Purpose: The influence of new SARS-CoV-2 variants on the post-COVID-19 condition (PCC) remains unanswered. Therefore, we examined the prevalence and predictors of PCC-related symptoms in patients infected with the SARS-CoV-2...
4.
Appel K, Nurnberger C, Bahmer T, Forster C, Polidori M, Kohls M, et al.
Infection
. 2024 Apr;
52(5):1813-1829.
PMID: 38587752
Purpose: The objective examination of the Post-COVID syndrome (PCS) remains difficult due to heterogeneous definitions and clinical phenotypes. The aim of the study was to verify the functionality and correlates...
5.
Morbach C, Gelbrich G, Schreckenberg M, Hedemann M, Pelin D, Scholz N, et al.
Eur Heart J Digit Health
. 2024 Jan;
5(1):77-88.
PMID: 38264700
Aims: Machine-learning (ML)-based automated measurement of echocardiography images emerges as an option to reduce observer variability. The objective of the study is to improve the accuracy of a pre-existing automated...
6.
Schmiemann G, Greser A, Maun A, Bleidorn J, Schuster A, Miljukov O, et al.
BMJ
. 2023 Nov;
383:e076305.
PMID: 37918836
Objectives: To evaluate whether a multimodal intervention in general practice reduces the proportion of second line antibiotic prescriptions and the overall proportion of antibiotic prescriptions for uncomplicated urinary tract infections...
7.
Appel K, Geisler R, Maier D, Miljukov O, Hopff S, Vehreschild J
Clin Infect Dis
. 2023 Oct;
78(4):889-899.
PMID: 37879096
Background: Numerous prognostic scores have been published to support risk stratification for patients with coronavirus disease 2019 (COVID-19). Methods: We performed a systematic review to identify the scores for confirmed...
8.
Yusuf K, Chaplinskaya-Sobol I, Schoneberg A, Hanss S, Valentin H, Lorenz-Depiereux B, et al.
Stud Health Technol Inform
. 2023 Sep;
307:152-158.
PMID: 37697849
Introduction: Contradiction is a relevant data quality indicator to evaluate the plausibility of interdependent health data items. However, while contradiction assessment is achieved using domain-established contradictory dependencies, recent studies have...
9.
Steinbeis F, Thibeault C, Steinbrecher S, Ahlgrimm Y, An Haack I, August D, et al.
Infection
. 2023 Jul;
52(1):93-104.
PMID: 37434025
Background: The severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) pandemic causes a high burden of acute and long-term morbidity and mortality worldwide despite global efforts in containment, prophylaxis, and...
10.
Liu Z, Hollmann C, Kalanidhi S, Grothey A, Keating S, Mena-Palomo I, et al.
medRxiv
. 2023 Jul;
PMID: 37425897
Myalgic Encephalomyelitis/ Chronic Fatigue syndrome (ME/CFS) is a complex, debilitating, long-term illness without a diagnostic biomarker. ME/CFS patients share overlapping symptoms with long COVID patients, an observation which has strengthened...