Clinical Predictors of Prolonged Hospitalization in Children with Community-Acquired Pneumonia

<b>Objectives:</b> This study aimed to identify key predictors of prolonged hospitalization in children with community-acquired pneumonia by comparing demographic and clinical characteristics between patients with expected and extended hospital stays. <b>Methods:</b> A retrospective cohort study was conducted for children younger than 15 years hospitalized with pneumonia between May 2015 and March 2020. Patients with hospital-acquired pneumonia or additional diagnoses were excluded. Demographic and clinical variables were collected. Statistical analysis, including logistic regression, was performed using SPSS v28 to identify independent predictors of prolonged hospitalization. <b>Results:</b> A total of 455 pediatric patients were included, with a median age of 2 years and a median length of stay of 6 days. Prolonged hospitalization occurred in 27.5% (<i>n</i> = 125) of cases. Gender distribution did not differ significantly between groups (<i>p</i> = 0.727). Significant predictors of prolonged hospitalization included moderate-to-severe pneumonia (<i>p</i> < 0.001, OR = 9.7, 95% CI = 3.1-30.9), pneumonia complications (<i>p</i> = 0.019, OR = 15.16, 95% CI = 1.57-146.3), and underlying chronic conditions (<i>p</i> = 0.009, OR = 2.88, 95% CI = 1.3-6.4). While hypoxia, ventilatory support, and bacteremia were associated with prolonged stay, they did not emerge as independent predictors in the final multivariable model. <b>Conclusion:</b> Prolonged hospitalization in pediatric pneumonia is strongly associated with increased disease severity, complications, and chronic comorbidities. Early identification of high-risk patients may facilitate targeted management strategies, improve outcomes, and reduce healthcare burden.

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Journal
Children
Published
2026-02-05
DOI
https://doi.org/10.3390/children13020226
Primary Topic
Pneumonia and Respiratory Infections
Type
article
Field-Weighted Citation Impact
0.00

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article

Clinical Predictors of Prolonged Hospitalization in Children with Community-Acquired Pneumonia

Afrah Ghawi, Abdulkarim Alrabiaah, Fahad Alsohime, Nasser Saleh Alharbi et al.
Children
Pneumonia and Respiratory Infections
article

Clinical Predictors of Prolonged Hospitalization in Children with Community-Acquired Pneumonia

Afrah Ghawi, Abdulkarim Alrabiaah, Fahad Alsohime, Nasser Saleh Alharbi, Bader Alqarni, Waleed Abdulla Alharthi
article en

Abstract

<b>Objectives:</b> This study aimed to identify key predictors of prolonged hospitalization in children with community-acquired pneumonia by comparing demographic and clinical characteristics between patients with expected and extended hospital stays. <b>Methods:</b> A retrospective cohort study was conducted for children younger than 15 years hospitalized with pneumonia between May 2015 and March 2020. Patients with hospital-acquired pneumonia or additional diagnoses were excluded. Demographic and clinical variables were collected. Statistical analysis, including logistic regression, was performed using SPSS v28 to identify independent predictors of prolonged hospitalization. <b>Results:</b> A total of 455 pediatric patients were included, with a median age of 2 years and a median length of stay of 6 days. Prolonged hospitalization occurred in 27.5% (<i>n</i> = 125) of cases. Gender distribution did not differ significantly between groups (<i>p</i> = 0.727). Significant predictors of prolonged hospitalization included moderate-to-severe pneumonia (<i>p</i> < 0.001, OR = 9.7, 95% CI = 3.1-30.9), pneumonia complications (<i>p</i> = 0.019, OR = 15.16, 95% CI = 1.57-146.3), and underlying chronic conditions (<i>p</i> = 0.009, OR = 2.88, 95% CI = 1.3-6.4). While hypoxia, ventilatory support, and bacteremia were associated with prolonged stay, they did not emerge as independent predictors in the final multivariable model. <b>Conclusion:</b> Prolonged hospitalization in pediatric pneumonia is strongly associated with increased disease severity, complications, and chronic comorbidities. Early identification of high-risk patients may facilitate targeted management strategies, improve outcomes, and reduce healthcare burden.

ChildrenVol. 13(2)
King Saud Medical City (SA), King Saud University (SA), Ministry of Health (SA), King Fahad Central Hospital (SA)
King Saud University
Good health and well-being
Openalex Percentile: Top 63%
Pneumonia and Respiratory Infections
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