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This study evaluates the predictive accuracy of five pneumonia severity assessment tools for various clinical events in patients hospitalized with community-acquired pneumonia.

July 6, 2026Bratislavské lekárske listy/Bratislava medical journalOpen Access

Outcome-Specific Prognostic Performance of Pneumonia Severity Assessment Tools for Predicting a Spectrum of Multiple Clinical Events

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This study evaluates the predictive accuracy of five pneumonia severity assessment tools for various clinical events in patients hospitalized with community-acquired pneumonia.
Retrospective cohort study of 332 adults with community-acquired pneumonia (CAP) from January 2020 to June 2025.
Primary outcomes include ICU admission, in-hospital mortality, and sepsis; secondary outcomes include complications and hospital readmissions.
Discrimination assessed using area under the curve (AUC) and pairwise DeLong tests.
Among patients, 14.5% required ICU admission, 8.4% died, and 42.2% had prolonged hospitalization.
qSOFA showed the highest AUC for predicting in-hospital mortality (0.781) and sepsis (0.762), outperforming CURB-65 (p < 0.05).
APUA had the highest AUC for predicting prolonged hospitalization (0.719; p < 0.05), while no score successfully predicted 30-day respiratory-related revisits (AUC 0.433–0.488).

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Implication

Retrospective cohort study evaluates pneumonia severity scores' predictive ability for clinical outcomes in patients, indicating different strengths for various events.

Cite This Study

Özkan et al. (2026) studied this question.

synapsesocial.com/papers/6a4b45da997070ff83b5b667 https://doi.org/10.1007/s44411-026-00725-9

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Implication

Retrospective cohort study evaluates pneumonia severity scores' predictive ability for clinical outcomes in patients, indicating different strengths for various events.

Outcome-Specific Prognostic Performance of Pneumonia Severity Assessment Tools for Predicting a Spectrum of Multiple Clinical Events

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Discussion

Implication

Cite This Study

Outcome-Specific Prognostic Performance of Pneumonia Severity Assessment Tools for Predicting a Spectrum of Multiple Clinical Events

Key Points

Discussion

Implication

Cite This Study

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