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Published on: November 10, 2023
Predictors of Mortality Among Children with Confirmed and Suspected Cases of COVID-19 in East Java, Indonesia
Ferry Efendi1, Joni Haryanto1, Eka Mishbahatul Mar'ah Has1
1Faculty of Nursing, Universitas Airlangga, Surabaya, Indonesia.
Insights
Severe illness and hospitalization with ventilators are key predictors of COVID-19 mortality in children. Prevention programs can reduce hospitalizations and child deaths from the virus.
Area of Science:
- Pediatrics
- Infectious Diseases
- Epidemiology
Background:
- Coronavirus disease 2019 (COVID-19) presents a significant mortality risk across all age groups, including children.
- Predictive factors for mortality in pediatric COVID-19 cases require further clarification.
Purpose of the Study:
- To identify and analyze predictors associated with mortality in children diagnosed with COVID-19.
Main Methods:
- A secondary data analysis was performed on provincial COVID-19 data from April 2020 to May 2021.
- The study included 6,441 pediatric patients (under 18 years).
- Statistical analyses included Chi-square and binary logistic regression.
Main Results:
- The mortality rate among pediatric COVID-19 cases was 2.7%.
- Significant predictors of mortality included age, case definition, treatment status, illness severity, and travel history.
- Severe illness (AOR=46.76) and hospitalization with ventilators (AOR=22.25) were strongly associated with increased mortality risk.
Conclusions:
- Severe illness is the most potent predictor of mortality in pediatric COVID-19 cases.
- Implementing disease prevention and health promotion initiatives is crucial for reducing hospitalizations and mortality rates in children.
Introduction:
Coronavirus disease 2019 (COVID-19) increases rapidly and causes mortality in all groups, including children. However, the predictive risk factors of mortality among children remain inconclusive. This study aimed to analyse the predictors related to mortality among children with COVID-19.
Methods:
Secondary data analysis was conducted using provincial COVID-19 data from April 2020 to May 2021. We selected 6441 children under age 18 to be included in this study. Chi-square and binary logistic regression were used to evaluate the predictors of mortality in children with COVID-19.
Results:
This study showed that the prevalence of children who died COVID-19 was 2.7%. Age, case definition, treatment status, severity of illness, and travel history had a significant relationship with survival status in children with COVID-19. As the increasing age, the risk of death with COVID-19 will decrease [AOR=0.94; CI 95%=0.91-0.97]. Otherwise, suspected status [AOR=2.12; 95% CI=1.48-3.04], hospitalization with ventilators [AOR=22.25; 95% CI=5.73-86.42], severe illness [AOR=46.76; 95% CI=21.69-100.80], and travel history [AOR=1.78; 95% CI=1.22-2.60] were significantly related with an increased risk of death in children with COVID-19.
Discussion:
Severe illness in children was the strongest predictor of mortality. Disease prevention and health promotion programs are the key to preventing hospitalizations in children and decreasing the mortality rate.
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