Open AccessPrognosis of 18 H7N9 Avian Influenza Patients in Shanghai
Author(s) -
Shuaiyao Lu,
Tao Li,
Xiuhong Xi,
Qingguo Chen,
Xuhui Liu,
Binxing Zhang,
Jiaxian Ou,
Jie Liu,
Qin Wang,
Bin Zhu,
Xinian Liu,
Chunxue Bai,
Jieming Qu,
Hongzhou Lu,
Zhiyong Zhang,
Yuanlin Song
Publication year - 2014
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0088728
Subject(s) - medicine , procalcitonin , pneumonia , copd , prothrombin time , gastroenterology , diabetes mellitus , sepsis , endocrinology
Purpose To provide prognosis of an 18 patient cohort who were confirmed to have H7N9 lung infection in Shanghai. Methods Patients' history, clinical manifestation, laboratory test, treatment strategy and mortality were followed and recorded for data analysis. Results A total of 18 patients had been admitted into Shanghai Public Health Clinical Center from April 8 th to July 29, 2013. 22.2% of the patients were found to have live poultry contact history and 80% were aged male patients with multiple co-morbidities including diabetes, hypertension and/or chronic obstructive pulmonary disease (COPD). This group of patients was admitted to the clinical center around 10 days after disease onset. According to laboratory examinations, increased C reactive protein (CRP), Procalcitonin (PCT), Plasma thromboplastin antecedent (PTA) and virus positive time (days) were indicative of patients' mortality. After multivariate analysis, only CRP level showed significant prediction of mortality (P = 0.013) while results of prothrombin time (PT) analysis almost reached statistical significance (P = 0.056). Conclusions H7N9 infection induced pneumonia of different severity ranging from mild to severe pneumonia or acute lung injury/acute respiratory distress syndrome to multiple organ failure. Certain laboratory parameters such as plasma CRP, PCT, PTA and virus positive days predicted mortality of H7N9 infection and plasma CRP is an independent predictor of mortality in these patients.