A Prognostic Model and Pre-Discharge Predictors of Post-COVID-19 Syndrome After Hospitalization for SARS-CoV-2 Infection
dc.contributor.author | Honchar, Oleksii | |
dc.contributor.author | Ashcheulova, Tetiana | |
dc.contributor.author | Гончарь, Олексій Володимирович | |
dc.contributor.author | Ащеулова, Тетяна Вадимівна | |
dc.contributor.author | Chumachenko, Tetyana | |
dc.contributor.author | Чумаченко, Тетяна Олександрівна | |
dc.contributor.author | Chumachenko, Dmytro | |
dc.contributor.author | Чумаченко, Дмитро Ігоревич | |
dc.contributor.author | Bobeiko, Alla | |
dc.contributor.author | Бобейко, Алла Євгенівна | |
dc.contributor.author | Khodosh, Eduard | |
dc.contributor.author | Ходош, Едуард Михайлович | |
dc.contributor.author | Blazhko, Viktor | |
dc.contributor.author | Блажко, Віктор Іванович | |
dc.contributor.author | Matiash, Nataliia | |
dc.contributor.author | Матяш, Наталія Михайлівна | |
dc.contributor.author | Ambrosova, Tetiana | |
dc.contributor.author | Амбросова, Тетяна Миколаївна | |
dc.contributor.author | Herasymchuk, Nina | |
dc.contributor.author | Герасимчук, Ніна Миколаївна | |
dc.contributor.author | Kochubiei, Oksana | |
dc.contributor.author | Кочубєй, Оксана Анатоліївна | |
dc.contributor.author | Smyrnova, Viktoriia | |
dc.contributor.author | Смирнова, Вікторія Іванівна | |
dc.date.accessioned | 2023-11-29T15:47:34Z | |
dc.date.available | 2023-11-29T15:47:34Z | |
dc.date.issued | 2023-11 | |
dc.description | 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 | en_US |
dc.description.abstract | 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. | en_US |
dc.identifier.citation | 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. | en_US |
dc.identifier.uri | https://repo.knmu.edu.ua/handle/123456789/33208 | |
dc.language.iso | en | en_US |
dc.publisher | Frontiers Media S.A. | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | hospitalization | en_US |
dc.subject | convalescence | en_US |
dc.subject | echocardiography | en_US |
dc.subject | post-acute COVID-19 syndrome | en_US |
dc.subject | walk test | en_US |
dc.subject | clinical decision rules | en_US |
dc.subject | machine learning | en_US |
dc.subject | 2023а | en_US |
dc.title | A Prognostic Model and Pre-Discharge Predictors of Post-COVID-19 Syndrome After Hospitalization for SARS-CoV-2 Infection | en_US |
dc.type | Article | en_US |