Clinical trials

Retrospective Analysis of Clinical Characteristics and Prognostic Factors in Hospitalized Pneumonia Patients from April 2023 to April 2026. Background: Pneumonia remains the leading cause of death from infectious diseases in adults worldwide, with an increasingly severe disease burden exacerbated by population aging and the frequent emergence of drug-resistant bacteria; in China, severe pneumonia accounts for a striking 13.58% to 20.05% of hospitalized cases. In recent years, shifts in the pathogen spectrum (e.g., COVID-19, influenza A) and patient demographic characteristics have posed new challenges for clinical management. However, existing studies mostly focus on single pathogens or specific populations (e.g., ICU patients), lacking systematic analyses of the full-disease course characteristics of general hospitalized pneumonia patients. Furthermore, in the post-pandemic era, the clinical phenotypes, treatment responses, and prognostic factors of pneumonia may have evolved, necessitating evidence-based support from real-world data. This study aims to conduct a retrospective analysis to clarify the epidemiological characteristics, etiological distribution, and prognostic factors influencing current hospitalized pneumonia patients, thereby providing a basis for optimizing diagnosis and treatment strategies.

This is a prospective, multicenter observational cohort study involving approximately 2,700 patients, designed to delineate the natural history of pneumonia by tracking the complete clinical course and dynamic multi-omics evolution from the acute phase to recovery; the study aims to quantify severe conversion rates and mortality by comparing baseline characteristics, pathogen distribution, and immune response trajectories between severe and non-severe groups, ultimately revealing the underlying molecular mechanisms of disease progression and optimizing clinical risk stratification strategies.

The establishment of reference intervals for biomarkers in healthy populations relies on large-scale, standardized cohort data. However, current baseline data for hematology, liver and kidney function, and multi-omics (genomics, transcriptomics, proteomics, and metabolomics) in Chinese healthy populations are constrained by significant regional disparities and insufficient sample sizes, limiting the development of early disease screening markers. To address these challenges, this study aims to: (1) establish a comprehensive database for hematology and liver/kidney function indicators; (2) construct a multi-omics database using blood and sputum samples; and (3) explore the correlations among multi-omics indicators and their associations with demographic characteristics.