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find Author "李筱妍" 3 results
  • The expression of serum oncostatin M in sepsis patients and its role in early recognition of sepsis

    Objective To investigate the expression of oncostatin M (OSM) in patients with sepsis and its role in early recognition of sepsis. Methods Thirty-four patients with sepsis admitted in Shanxi Bethune Hospital fromJune 3, 2021 to January 18, 2022 were selected as a sepsis group, 15 patients with community acquired pneumonia (CAP) as a case control group, and 16 adults who underwent physical examination in the same period were selected as a healthy control group. The patients in the sepsis group were followed up for 28 days and divided into a survival group and a death group. The serum OSM level and its correlation with clinical indexes (white blood cell, neutrophil, lymphocyte, sequential organ failure assessment score and acute physiology and chronic health evaluation Ⅱ) were analyzed, and the diagnostic value of OSM expression level in the early identification of sepsis was analyzed. Results Compared with the case control group and the healthy control group, the expression level of OSM in the sepsis group was significantly higher [(502.07±209.93)pg/mL vs. (368.22±65.95)pg/mL and (382.09±73.04)pg/mL, P<0.05]. However, the high expression of OSM had no significant correlation with white blood cell, neutrophil, lymphocyte or disease severity score (P>0.05), and there was no significant difference in serum OSM level between the sepsis survival group and the death group. Compared with white blood cell count, the high expression of OSM has certain diagnostic value in the early identification of sepsis. The area under the receiver operator characteristic curve of OSM in predicting sepsis was 0.794 (95% confidence interval 0.666 - 0.922, P<0.05), with the sensitivity of 79.4% and the specificity of 73.3%. Conclusion The expression of OSM in patients with sepsis is significantly increased, and the high expression of OSM has a certain diagnostic value in the early identification of sepsis.

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  • 脓毒症相关性急性呼吸窘迫综合征生物标志物研究进展

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  • Relationship between pathogen and lung function in patients with acute exacerbations of COPD

    Objectives To investigate the pathogenic characteristics and the possible relationship between pathogen and respiratory function in patients with acute exacerbations of COPD (AECOPD).Methods Sixty-four patients with AECOPD were investigated with lung function test,quantitative and qualitative sputum bacteria culture,drug sensitive test,and Mycoplasma pneumoniae and Chlamydia pneumoniae specific antibodies test.The patients were divided into three groups according to FEV1%pred,50%≤FEV1lt;80%pred for the Group One,30%pred≤FEV1lt;50%pred for the Group Two,and FEV1lt;30%pred for the Group Three.Meanwhile according to the result of sputum culture,infective bacteria were divided into four kinds: Gram-positive cocci for kind A,Gram-negtive germ except kind C for kind B,Acinetobacter,Enterobacter and Pseudomonas spp for kind C,and negative result for kind D.Results ⑴Of 64 patients who were conducted quantitative sputum culture,germs isolated were mostly Streptococcus pneumoniae,Enterobacter,Moraxella Catarrhalis,and Pseudomonas.Of 38 patients who were conducted qualitative sputum culture,most of them were found mixed infection,and germs isolated were mostly Streptococcus pneumoniae,Staphylococcus epidermidis,Acinetobacter and Enterobacter.⑵Both quantitative and qualitative sputum culture revealed that Most of Group One patients were not infected by bacteria,and the Group Three patients were mainly by resistant kind A and kind C bacteria (Plt;0.01 and 0.05 respectively).⑶The infection of Mycoplasma pneumoniae or Chlamydia pneumoniae was identified in 29.4% of the cases.Conclusions There is a close correlation between the degree of functional damage and the infected bacterial strains for patients with AECOPD,the more chance of bacteria infection such as S pneumoniae,Acinetobacter,Enterobacter and Pseudomonas,the more damage of lung function.

    Release date:2016-08-30 11:35 Export PDF Favorites Scan
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