A Predictive Model for the Development of Long Covid in Children
Bibliographic Data
| ID | 15504665 |
|---|---|
| Authors | Vita Perestiuk (0000-0002-8321-1078, I.Horbachevsky Ternopil National Medical University, corresponding author), А С Сверстюк (0000-0001-8644-0776, I.Horbachevsky Ternopil National Medical University), Tetyana Kosovska (I.Horbachevsky Ternopil National Medical University), L A Volianska (0000-0001-5447-8059, I.Horbachevsky Ternopil National Medical University), Oksana Boyarchuk (0000-0002-1234-0040, I.Horbachevsky Ternopil National Medical University) |
| Year | 2025 |
| Volume | 22 |
| Issue | 11 |
| Pages | 1693-1693 |
| Publication date | 2025-11-09 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph22111693 |
| PMID | 41302639 |
| OpenAlex | W4416093335 |
| Language | EN |
| References cited | 52 |
The results of multivariate regression analysis demonstrated that the presence of a burdened comorbid background-specifically obesity and allergic pathology-fever during the acute phase of the disease or the presence of three or more symptoms, as well as laboratory abnormalities including thrombocytosis, neutrophilia, alterations in prothrombin time (either shortened or prolonged), and reduced serum vitamin D levels, are predictors of long COVID development among pediatric patients
2019-20 coronavirus outbreak · Comorbidity · Coronavirus disease 2019 (COVID-19 · Disease · Multivariate analysis · Multivariate statistics · Pandemic · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Autoimmune and Inflammatory Disorders Research · COVID-19 Clinical Research Studies · Long-Term Effects of COVID-19
| Highly cited | No |
|---|