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Risk Stratification for Complications in Patients Hospitalized With Community-Acquired Pneumonia
Işın Senem Köşker Çapar1, Tuğçe Tural-Kara2
1Department of Pediatrics, Akdeniz University Hospital, Antalya, Turkey.
Insights
This study identified key admission factors predicting complicated pneumonia in children, developing a risk score for early stratification. The model aids in identifying children at higher risk for severe outcomes from community-acquired pneumonia.
Area of Science:
- Pediatric Pulmonology
- Critical Care Medicine
- Epidemiology
Background:
- Community-acquired pneumonia (CAP) is a significant cause of childhood morbidity.
- Existing severity tools do not adequately predict diverse pulmonary and systemic complications.
- Early identification of high-risk children is crucial for timely intervention.
Purpose of the Study:
- Identify admission factors associated with complicated pneumonia (CP) in hospitalized children with CAP.
- Develop a practical risk scoring model for early risk stratification of CP.
- Improve management strategies for pediatric CAP.
Main Methods:
- Retrospective cohort study of hospitalized children with CAP.
- Classification into uncomplicated CAP and complicated pneumonia groups.
- Multivariate logistic regression to identify independent predictors of CP.
Main Results:
- Older age, hypotension, altered mental status, low hemoglobin, leukopenia, elevated neutrophil-to-lymphocyte ratio, hyponatremia, hypoalbuminemia, and increased C-reactive protein were independent risk factors for CP.
- The developed risk scoring model achieved 82% sensitivity and 79% specificity.
- The model utilizes routinely available admission parameters.
Conclusions:
- Admission characteristics can predict the development of complications in pediatric CAP.
- A novel complication-focused risk scoring model was developed for hospitalized children.
- The model shows promise for early risk stratification, requiring prospective validation for clinical utility.
Aim:
Community-acquired pneumonia (CAP) remains a major cause of morbidity in children. Although severity assessment tools are available, they are not specifically designed to predict the development of a broad spectrum of pulmonary and systemic complications. This study aimed to identify admission factors associated with complicated pneumonia (CP) in hospitalized children with CAP and to develop a practical risk scoring model for early risk stratification.
Methods:
Patients hospitalized with CAP were classified into two categories: uncomplicated CAP and complicated pneumonia. Independent predictors for the development of complicated pneumonia were identified.
Results:
Multivariate logistic regression identified the following as independent risk factors for complicated pneumonia: older age (OR: 1.011; p < 0.001), hypotension (OR: 28.083; p < 0.001), altered mental status (OR: 5.033; p = 0.024), low haemoglobin values (OR: 0.835; p = 0.015), leukopenia (OR: 3.197; p = 0.040), increased neutrophil-to-lymphocyte ratio levels (OR: 1.045; p = 0.049), hyponatremia (OR: 2.840; p < 0.001), hypoalbuminemia (OR: 6.489; p < 0.001) and increased C-reactive protein levels (OR: 1.034; p = 0.039). The scoring system demonstrated a sensitivity of 82% and a specificity of 79%.
Conclusions:
We identified admission characteristics associated with the development of pulmonary and systemic complications in hospitalized children with CAP and developed a complication-focused risk scoring model based on routinely available parameters. The model showed good performance within this retrospective cohort and may support early risk stratification. Prospective multicentre validation is required to confirm its generalizability and clinical utility.
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