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Lokaler Crossref-Datenbestand · journal-article

From Diagnosis to Treatment: Advances in Clinical Research on Severe Pneumonia

Sheng Wang, Xiaoli Wu, Xiaoshuai Wu

Journal of Artificial Intelligence and Information · 2026

Vollständiger Abstract

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Severe pneumonia is a life-threatening infectious disease associated with high mortality and is frequently complicated by acute respiratory distress syndrome, septic shock, and multiple organ dysfunction. The current diagnostic and therapeutic paradigm is shifting from empirical broad-spectrum treatment toward individualized management based on precise pathogen identification and assessment of the host response. The pathogenesis of severe pneumonia involves a broad range of bacterial, viral, and fungal pathogens, together with complex pathophysiological processes including dysregulated inflammation, immune dysfunction, and coagulation abnormalities. Conventional pathogen-detection methods are limited by low sensitivity and prolonged turnaround times. Emerging molecular diagnostic technologies have substantially increased pathogen detection rates and facilitated early, targeted anti-infective therapy, while biomarkers have improved inflammatory monitoring and prognostic assessment. This review summarizes contemporary evidence on the etiological features of severe pneumonia, advances in diagnostic technologies, optimization of treatment strategies, and integrated models of care, with the aim of providing a theoretical basis for improved clinical management and outcomes.

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Publikationsdaten

Autor:innen
Sheng Wang, Xiaoli Wu, Xiaoshuai Wu
Quelle
Journal of Artificial Intelligence and Information
Publikation
2026-01-01
Band / Ausgabe
Nicht angegeben
Seiten
Nicht angegeben
ISSN / ISBN
3064-8033
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Zitierfähiger Nachweis

Sheng Wang, Xiaoli Wu, Xiaoshuai Wu (2026). From Diagnosis to Treatment: Advances in Clinical Research on Severe Pneumonia. Journal of Artificial Intelligence and Information. https://doi.org/10.66069/ojspub.27450830
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