Cargando…

Comparative study of hematological and radiological feature of severe/critically ill patients with COVID‐19, influenza A H7N9, and H1N1 pneumonia

OBJECTIVES: This study aimed to explore clinical indexes for management of severe/critically ill patients with COVID‐19, influenza A H7N9, and H1N1 pneumonia by comparing hematological and radiological characteristics. METHODS: Severe/critically ill patients with COVID‐19, H7N9, and H1N1 pneumonia w...

Descripción completa

Detalles Bibliográficos
Autores principales: Kong, Jindan, Hao, Yan, Wan, Shan, Li, Zheng, Zou, Di, Zhang, Leisi, Lu, Yin, Wang, Jun, Chen, Xiaochen, Fu, Jianhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8646601/
https://www.ncbi.nlm.nih.gov/pubmed/34762754
http://dx.doi.org/10.1002/jcla.24100
Descripción
Sumario:OBJECTIVES: This study aimed to explore clinical indexes for management of severe/critically ill patients with COVID‐19, influenza A H7N9, and H1N1 pneumonia by comparing hematological and radiological characteristics. METHODS: Severe/critically ill patients with COVID‐19, H7N9, and H1N1 pneumonia were retrospectively enrolled. The demographic data, clinical manifestations, hematological parameters, and radiological characteristics were compared. RESULTS: In this study, 16 cases of COVID‐19, 10 cases of H7N9, and 13 cases of H1N1 who met severe/critically ill criteria were included. Compared with COVID‐19, H7N9 and H1N1 groups had more chronic diseases (80% and 92.3% vs. 25%, p < 0.05), higher APACHE Ⅱ scores (16.00 ± 8.63 and 15.08 ± 6.24, vs. 5.50 ± 2.58, p < 0.05), higher mortality rates (40% and 46.2% vs. 0%, p < 0.05), significant lymphocytopenia (0.59 ± 0.31 × 10(9)/L and 0.56 ± 0.35 × 10(9)/L vs. 0.97 ± 0.33 × 10(9)/L, p < 0.05), and elevated neutrophil‐to‐lymphocyte ratio (NLR; 14.67 ± 6.10 and 14.64 ± 10.36 vs. 6.29 ± 3.72, p < 0.05). Compared with the H7N9 group, ground‐glass opacity (GGO) on chest CT was common in the COVID‐19 group (p = 0.028), while pleural effusion was rare (p = 0.001). CONCLUSIONS: The NLR can be used as a clinical parameter for the predication of risk stratification and outcome in COVID‐19 and influenza A pneumonia. Manifestations of pleural effusion or GGO in chest CT may be helpful for the identification of different viral pneumonia.