TY - JOUR
T1 - Predictors of Mortality Among Children with Confirmed and Suspected Cases of COVID-19 in East Java, Indonesia
AU - Efendi, Ferry
AU - Haryanto, Joni
AU - Has, Eka Mishbahatul Mar’Ah
AU - Makhfudli, Makhfudli
AU - Indarwati, Retno
AU - Kuswanto, Heri
AU - Wahyuhadi, Joni
AU - Al Farabi, Makhyan Jibril
AU - Ho, Ken Hok Man
AU - Susanti, Ika Adelia
N1 - Publisher Copyright:
© 2023 Efendi et al.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - COVID-19
KW - child health
KW - child mortality
UR - http://www.scopus.com/inward/record.url?scp=85147817065&partnerID=8YFLogxK
U2 - 10.2147/JMDH.S391917
DO - 10.2147/JMDH.S391917
M3 - Article
AN - SCOPUS:85147817065
SN - 1178-2390
VL - 16
SP - 355
EP - 362
JO - Journal of Multidisciplinary Healthcare
JF - Journal of Multidisciplinary Healthcare
ER -