scholarly journals Serum IL-27 predicts the severity and prognosis in patients with community-acquired pneumonia: a prospective cohort study

2022 ◽  
Vol 19 (1) ◽  
pp. 74-81
Author(s):  
Zheng Xu ◽  
Xin-Ming Wang ◽  
Peng Cao ◽  
Chen Zhang ◽  
Chun-Mei Feng ◽  
...  
2021 ◽  
Vol 58 (11) ◽  
pp. 1019-1023
Author(s):  
Javeed Iqbal Bhat ◽  
Bashir A. Charoo ◽  
Aparna Mukherjee ◽  
Ridwana Ahad ◽  
Rashmi R. Das ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hong-Yan Liu ◽  
Hui-Xian Xiang ◽  
Ying Xiang ◽  
Zheng Xu ◽  
Chun-Mei Feng ◽  
...  

Abstract Background Previous studies found that S100A9 may involve in the pathophysiology of community-acquired pneumonia (CAP). However, the role of S100A9 was unclear in the CAP. The goal was to explore the correlations of serum S100A9 with the severity and prognosis of CAP patients based on a prospective cohort study. Methods A total of 220 CAP patients and 110 control subjects were recruited. Demographic and clinical data were collected. Serum S100A9 and inflammatory cytokines were measured. Results Serum S100A9 was elevated in CAP patients on admission. Serum S100A9 was gradually elevated parallelly with CAP severity scores. Additionally, inflammatory cytokines were increased and blood routine parameters were changed in CAP patients compared with control subjects. Correlation analysis found that serum S100A9 was positively associated with CAP severity scores, blood routine parameters (WBC, NLR and MON) and inflammatory cytokines. Further, logistic regression analysis demonstrated that there were positive associations between serum S100A9 and CAP severity scores. Besides, the prognosis of CAP was tracked. Serum higher S100A9 on the early stage elevated the death of risk and hospital stay among CAP patients. Conclusion Serum S100A9 is positively correlated with the severity of CAP. On admission, serum higher S100A9 elevates the risk of death and hospital stay in CAP patients, suggesting that S100A9 may exert a certain role in the pathophysiology of CAP and regard as a serum diagnostic and managing biomarker for CAP.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chun-Mei Feng ◽  
Xin-Ming Wang ◽  
Meng-Die Li ◽  
Zheng Xu ◽  
Dong-Xu Hua ◽  
...  

Abstract Background Some studies previously demonstrated that interleukin-17 (IL-17) involves in pulmonary diseases progression. Nevertheless, the role of IL-17 in community-acquired pneumonia (CAP) remains unknown. This study aims to examine the correlations between serum IL-17 with the severity and prognosis in CAP patients through a prospective cohort study. Methods All 239 CAP patients were recruited. Serum IL-17 was detected by enzyme-linked immunosorbent assay (ELISA). The CAP severity was evaluated through CAP severity scores, including CURB-65, CRB-65, PSI, SMART-COP, CURXO and APACHE II. Results Serum IL-17 was gradually increased consistent with the severity of CAP. Correlative analysis suggested that serum IL-17 was associated with clinical physiologic indicators among CAP patients. Logistic regression indicated that serum IL-17 was positively related to CAP severity scores. Additionally, the prognostic outcomes were tracked among CAP patients. The levels of IL-17 on admission were significantly increased in CAP patients with ICU admission, mechanical ventilation, vasoactive agent, death and longer hospitalization days. Logistic regression analyses revealed serum higher IL-17 on admission elevated the risks of vasoactive agent usage and longer hospital stays in CAP patients. The cut-off concentrations of serum IL-17 for death, ICU admission, mechanical ventilation and ≥ 14 hospital stays were 86.80 ng/mL, 84.92 ng/mL, 84.92 ng/mL and 60.29 ng/mL respectively. Conclusions Serum IL-17 on admission is positively associated with the severity and poor prognosis among CAP patients, revealing that IL-17 may implicate in the pathological process of CAP. Therefore, serum IL-17 may become an effective biomarker for diagnosis, prognosis and therapy for CAP patients.


2018 ◽  
Vol 33 (6) ◽  
pp. 929-935 ◽  
Author(s):  
Timothy D. Girard ◽  
Wesley H. Self ◽  
Kathryn M. Edwards ◽  
Carlos G. Grijalva ◽  
Yuwei Zhu ◽  
...  

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