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Disease Spectrum and Predictors of Prolonged Hospitalization in Lebanese Children With COVID-19
Hadi Fakih1,2, Ibrahim Dia3, Mohamad Jawad H Akach4
1Pediatrics, Faculty of Medical Sciences, Lebanese University, Beirut, LBN.
Insights
Most hospitalized children with COVID-19 experienced mild illness. Radiological pneumonia and the need for anti-inflammatory or antimicrobial treatments were linked to longer hospital stays in Lebanon.
Area of Science:
- Pediatrics
- Infectious Diseases
- Public Health
Background:
- Pediatric COVID-19 often presents mildly, but severe outcomes like multisystem inflammatory syndrome in children (MIS-C) can occur.
- Limited data exists on pediatric COVID-19 hospitalizations in Lebanon.
- This study addresses the scarcity of information on clinical features and hospitalization duration for children with COVID-19 in Lebanon.
Purpose of the Study:
- To describe the clinical characteristics of pediatric COVID-19 hospitalizations in Lebanon.
- To identify factors associated with prolonged length of stay (LOS) in hospitalized children with COVID-19.
- To inform clinical risk stratification and resource planning in similar settings.
Main Methods:
- Retrospective, observational study at Sheikh Ragheb Harb University Hospital.
- Inclusion of 127 patients under 18 years hospitalized with confirmed COVID-19 (January-December 2021).
- Data collection on demographics, clinical presentation, labs, imaging, treatment, and outcomes; bivariate and multivariable analyses for LOS predictors.
Main Results:
- Median age was 0.6 years; 66.1% were male. Common symptoms included fever (71.7%) and cough (52.0%).
- Only 3.9% required ICU admission or oxygen therapy; one case (0.8%) of MIS-C was reported. No mortality.
- Median LOS was 3 days. Factors associated with longer LOS included pulmonary consolidation, oxygen requirement, ICU admission, and use of antibiotics and steroids.
Conclusions:
- The majority of hospitalized children with COVID-19 had mild disease.
- Radiological pneumonia and the need for anti-inflammatory or antimicrobial therapies were independent predictors of extended hospitalization.
- Findings support targeted early interventions and resource planning for pediatric COVID-19 management in resource-limited settings.
Abstract:
Background While pediatric COVID-19 is typically mild, severe outcomes such as multisystem inflammatory syndrome in children (MIS-C) can occur. Data on hospitalized children in Lebanon are scarce. This study aimed to describe the clinical features of pediatric COVID-19 hospitalizations and identify factors associated with prolonged length of stay (LOS). Methodology A retrospective, observational study was conducted at Sheikh Ragheb Harb University Hospital among 127 patients aged <18 years hospitalized with polymerase chain reaction-confirmed COVID-19 between January and December 2021. Data on demographics, clinical presentation, laboratory/radiological findings, treatment, and outcomes were collected from medical records. Bivariate and multivariable analyses were performed to identify factors associated with LOS. Results The median age was 0.6 years (interquartile range (IQR) = 0.25-1.90), and 84 (66.1%) were male. Fever, 91 (71.7%), and cough, 66 (52.0%), were the most common symptoms. Intensive care unit (ICU) admission and oxygen therapy were required in five (3.9%) cases. Overall, one (0.8%) patient developed MIS-C. There was no mortality. The median LOS was three days (IQR = 2-4). On bivariate analysis, consolidation on imaging, oxygen requirement, ICU admission, and use of antibiotics and steroids were significantly associated with longer LOS (p < 0.001 for all). On multivariable analysis, steroid use (B = 2.94, p = 0.001), pulmonary consolidation (B = 2.53, p = 0.003), and antibiotic use (B = 1.66, p = 0.035) remained independent predictors. Conclusions Most hospitalized children with COVID-19 had mild disease. Radiological evidence of pneumonia and the need for anti-inflammatory or antimicrobial therapy were key drivers of extended hospitalization, highlighting targets for early intervention and resource planning. These findings can assist clinicians in risk stratification and optimizing bed capacity in similar resource-limited settings.
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