Predicting length of hospital stay in community-acquired pneumonia using clinical and treatment factors: a retrospective study with restricted cubic spline and piecewise regression analysis
BackgroundCommunity-acquired pneumonia (CAP) remains a leading cause of hospitalization worldwide. Accurate prediction of length of stay (LOS) is crucial for optimizing hospital bed turnover, improving clinical resource allocation, and facilitating the development of individualized discharge plans,...
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| Principais autores: | , , , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
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Frontiers Media S.A.
2026-04-01
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| coleção: | Frontiers in Public Health |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fpubh.2026.1768432/full |
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