Objective: To identify distinct symptom-based phenotypes in middle-aged and older patients with community-acquired pneumonia(CAP) using latent class analysis(LCA), and to investigate their associations with clinical characteristics, biomarkers, and prognosis.Methods: This prospective cohort study enrolled 272 middle-aged and older patients with CAP. LCA was applied to model 11 key clinical symptoms to identify homogeneous subgroups. The identified phenotypes were compared regarding demographics, inflammatory markers, pulmonary function, comorbidities, etiological distribution, in-hospital outcomes, and 30-day follow-up outcomes(readmission, symptom resolution time, etc.).Results: LCA identified three distinct symptom phenotypes(entropy=0.85): phenotype 1(classic inflammatory, 40.4%) characterized by high fever, profuse purulent sputum, and localized crackles; phenotype 2(airway-dominant exacerbation, 35.3%) characterized by moderate-to-severe dyspnea, widespread wheezing, and background of chronic airway disease; phenotype 3(cryptic frailty, 24.3%) characterized by nonspecific symptoms including extreme fatigue and poor appetite, with high comorbidity burden. Significant differences in host responses were observed among the three phenotypes: phenotype 1 exhibited the highest inflammatory level [median C-reactive protein(CRP) 152.4 mg·L-1], phenotype 2 had the poorest baseline lung function(FEV1% predicted 56.8%), and phenotype 3 showed the poorest nutritional status(albumin 30.1 g·L-1) and oldest age(77.5 years). Regarding clinical outcomes, phenotype 1 had the highest risk of severe disease(ICU admission rate 28.2%), phenotype 2 had the longest hospital stay(13.1 d). At 30-day follow-up, phenotype 2 had the highest readmission rate(37.5%) and emergency department revisit rate(16.7%), while phenotype 3 had the longest symptom resolution time(median 10 days).Conclusion: Middle-aged and older patients with CAP exhibit three heterogeneous symptom phenotypes, corresponding to distinct pathophysiological mechanisms(intense inflammatory response, acute-on-chronic airflow limitation, and frail state). These phenotypes are significantly associated with specific host characteristics, etiological patterns, and short-term prognosis. The phenotype discrimination parameters and calculation formula provided in this study offer actionable empirical tools and important evidence for implementing phenotype-based individualized precision management in clinical practice. |
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