Predicting mortality in children with confirmed or suspected COVID-19
| Autor: | Hafiz Sajid Khan, Farhat R. Malik, Muhammad Zeeshan Khan, Ilyas Fiaz, Zahra Mannan Waheed, Sofia Jadoon, Muhammad Jamil, Ravi Dutt Sharma |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | International journal of health sciences. :1622-1632 |
| ISSN: | 2550-696X 2550-6978 |
| DOI: | 10.53730/ijhs.v6ns10.14140 |
| Popis: | Introduction: Coronavirus disease 2019 (COVID-19) is spreading quickly and killing people across the board, including infants. The risk variables that indicate infant death are still uncertain, though. Examining risk signs for babies with COVID-19 was the aim of this study. Methods: Secondary data analysis was performed using provincial COVID-19 data from September 2021 to December 2022. For this study, 1000 children under the age of 18 were selected. In order to investigate the factors that led to fatalities in children diagnosed with COVID-19, chi-square analysis and binary logistic regression were utilized. Results: According to this research, the frequency of infants dying from COVID-19 was 6.7%. Age, case classification, therapy state, disease intensity, and trip experience all significantly correlated with toddlers infected with the COVID-19 virus’s mortality rate. Age affects the likelihood of succumbing from COVID-19 (Adjusted odd ratio (AOR) =0.92; CI 95%=0.93-0.98). In addition, using ventilators while in the ICU (AOR=22.45; 95% CI=5.86-86.33), serious sickness (AOR=46.23; 95% CI=21.33-100.63), and travel history (AOR=1.87; 95% CI=1.92-2.83) were all clearly linked to a greater chance of mortality in kids with the COVID-19. Conclusion: The greatest predictor of mortality was childhood illness that was serious. |
| Databáze: | OpenAIRE |
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