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Clinical characteristics and microbial signatures in the lower airways of diabetic and nondiabetic patients with pneumonia.

Xuefei LiuQianqian ZhaoXiangyan HeJiumeng MinRosary Sin Yu YaoZhonglin ChenJinmin MaWeiting HuJingwen HuangHuanying WanYi GuoMin Zhou
Published in: Journal of thoracic disease (2024)
Some microorganisms affect the severity of pneumonia. We identified the microbial signatures in the lower airways and the association between clinical characteristics and SP. The predictive model was more accurate in predicting SP by combining microbiological indicators and clinical characteristics, which might be beneficial to the early identification and management of patients with SP.
Keyphrases
  • cystic fibrosis
  • microbial community
  • genome wide
  • type diabetes
  • community acquired pneumonia
  • bioinformatics analysis