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http://repo.knmu.edu.ua/handle/123456789/33208
Назва: | A Prognostic Model and Pre-Discharge Predictors of Post-COVID-19 Syndrome After Hospitalization for SARS-CoV-2 Infection |
Автори: | Honchar, Oleksii Ashcheulova, Tetiana Гончарь, Олексій Володимирович Ащеулова, Тетяна Вадимівна Chumachenko, Tetyana Чумаченко, Тетяна Олександрівна Chumachenko, Dmytro Чумаченко, Дмитро Ігоревич Bobeiko, Alla Бобейко, Алла Євгенівна Khodosh, Eduard Ходош, Едуард Михайлович Blazhko, Viktor Блажко, Віктор Іванович Matiash, Nataliia Матяш, Наталія Михайлівна Ambrosova, Tetiana Амбросова, Тетяна Миколаївна Herasymchuk, Nina Герасимчук, Ніна Миколаївна Kochubiei, Oksana Кочубєй, Оксана Анатоліївна Smyrnova, Viktoriia Смирнова, Вікторія Іванівна |
Теми: | COVID-19 hospitalization convalescence echocardiography post-acute COVID-19 syndrome walk test clinical decision rules machine learning 2023а |
Дата публікації: | лис-2023 |
Видавництво: | Frontiers Media S.A. |
Бібліографічний опис: | Prognostic Model and Pre-Discharge Predictors of Post-COVID-19 Syndrome After Hospitalization for SARS-CoV-2 Infection / O. Honchar, T. Ashcheulova, T. Chumachenko, D. Chumachenko [et al.] // Frontiers in Public Health. ─ 2023. ─ Volume 11. ─ 1276211. ─ doi: 10.3389/fpubh.2023.1276211. |
Короткий огляд (реферат): | Background. Post-COVID-19 syndrome (PCS) has been increasingly recognized as an emerging problem: 50% of patients report ongoing symptoms 1 year after acute infection, with most typical manifestations (fatigue, dyspnea, psychiatric and neurological symptoms) having potentially debilitating effect. Early identification of high-risk candidates for PCS development would facilitate the optimal use of resources directed to rehabilitation of COVID-19 convalescents. Objective. To study the in-hospital clinical characteristics of COVID-19 survivors presenting with self-reported PCS at 3 months and to identify the early predictors of its development. Methods. 221 hospitalized COVID-19 patients underwent symptoms assessment, 6-minute walk test, and echocardiography pre-discharge and at 1 month; presence of PCS was assessed 3 months after discharge. Unsupervised machine learning was used to build a SANN-based binary classification model of PCS development. Results. PCS at 3 months has been detected in 75% patients. Higher symptoms level in the PCS group was not associated with worse physical functional recovery or significant echocardiographic changes. Despite identification of a set of pre-discharge predictors, inclusion of parameters obtained at 1 month proved necessary to obtain a high accuracy model of PCS development, with inputs list including age, sex, inhospital levels of CRP, eGFR and need for oxygen supplementation, and level of post-exertional symptoms at 1 month after discharge (fatigue and dyspnea in 6MWT and MRC Dyspnea score). Conclusions. Hospitalized COVID-19 survivors at 3 months were characterized by 75% prevalence of PCS, the development of which could be predicted with an 89% accuracy using the derived neural network-based classification model. |
Опис: | Honchar O, Ashcheulova T, Chumachenko T, Chumachenko D, Bobeiko A, Blazhko V, et al. A prognostic model and pre-discharge predictors of post-COVID-19 syndrome after hospitalization for SARS-CoV-2 infection. Front Public Health. (2023) 11:1276211. doi: 10.3389/fpubh.2023.1276211 |
URI (Уніфікований ідентифікатор ресурсу): | http://repo.knmu.edu.ua/handle/123456789/33208 |
Розташовується у зібраннях: | Наукові праці. Кафедра епідеміології Наукові праці. Кафедра пропедевтики внутрішньої медицини № 1, основ біоетики та біобезпеки |
Файли цього матеріалу:
Файл | Опис | Розмір | Формат | |
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fpubh-11-1276211.pdf | 673,73 kB | Adobe PDF | Переглянути/відкрити |
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