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1.
Chinese Journal of Emergency Medicine ; (12): 1301-1304, 2019.
Artigo em Chinês | WPRIM | ID: wpr-796632

RESUMO

Objective@#To examine whether presepsin level can serve as a distinguishing marker between G- bacteria and G+ bacteria, fungal infection in sepsis patients.@*Methods@#A prospective observation study was conducted on the consecutive patients with positive bacterial cultures in intensive care unit (ICU) from June 2017 to November 2018. The patients were divided into the G- group, G+ group and fungal group. Blood samples were collected upon admission to measure the levels of presepsin and procalcitonin (PCT).@*Results@#(1) Of the 156 patients met the inclusion criteria. 96 (62% G- rods, 25 (16%) G+ microbes, and 35 (22%) fungi were detected. (2) Presepsin concentrations were significantly higher in the G- group compared with the G+ and fungal groups (P = 0.000). (3) Presepsin level has a higher accuracy in differentiating G- sepsis from Gram+ and fungal sepsis than PCT level [area under the curve (AUC): 0.809 vs 0.712]. The AUC value of a combination of presepsin and PCT level was significantly larger than that of presepsin level alone in differentiating G- sepsis from Gram+ and fungal sepsis (AUC: 0.866 vs 0.809).@*Conclusions@#In contrast to PCT, presepsin is a good discriminative biomarker in different infections.

2.
Chinese Journal of Emergency Medicine ; (12): 1301-1304, 2019.
Artigo em Chinês | WPRIM | ID: wpr-789215

RESUMO

Objective To examine whether presepsin level can serve as a distinguishing marker between G-bacteria and G+ bacteria,fungal infection in sepsis patients.Methods A prospective observation study was conducted on the consecutive patients with positive bacterial cultures in intensive care unit (ICU) from June 2017 to November 2018.The patients were divided into the G-group,G+ group and fungal group.Blood samples were collected upon admission to measure the levels of presepsin and procalcitonin (PCT).Results (1) Of the 156 patients met the inclusion criteria.96 (62% G-rods,25 (16%) G+ microbes,and 35 (22%) fungi were detected.(2) Presepsin concentrations were significantly higher in the G-group compared with the G+ and fungal groups (P =0.000).(3) Presepsin level has a higher accuracy in differentiating G-sepsis from Gram+ and fungal sepsis than PCT level [area under the curve (AUC):0.809 vs 0.712].The AUC value of a combination of presepsin and PCT level was significantly larger than that of presepsin level alone in differentiating G-sepsis from Gram+ and fungal sepsis (AUC:0.866 vs 0.809).Conclusions In contrast to PCT,presepsin is a good discriminative biomarker in different infections.

3.
Chinese Critical Care Medicine ; (12): 1095-1098, 2018.
Artigo em Chinês | WPRIM | ID: wpr-733963

RESUMO

Sepsis is a life-threatening organ dysfunction caused by dysregulated host response to infection. Immunosuppression is an important factor of secondary infection in the late state of sepsis, including multi-drugs resistant bacteria, which ultimately leads to the death of patients. The aim of this article was to help clinical staffs better manage patients with sepsis, improve long-term survival rate of the patients, and reduce their re-hospitalization rate by reviewing the relationship between sepsis-induced immunosuppression and multi-drugs resistant bacteria through three aspects: the mechanism of sepsis-induced immunosuppression, the mechanism of antibiotic resistance and the relationship between sepsis-induced immunosuppression and secondary infections.

4.
The Journal of Practical Medicine ; (24): 58-61, 2016.
Artigo em Chinês | WPRIM | ID: wpr-487860

RESUMO

Objective To investigate the expressions of Nanog and Oct4 (stem cell transcription factors) in endometriosis and adenomyosis, and to explore their potential functions in the development of endometriosis and adenomyosis. Methods The expressions of Nanog and Oct4 in the ectopic and eutopic endometrium of 50 patients with endometriosis and/or adenomyosis (ectopic endometrium group and eutopic endometrium group), and 21 patients free from endometriosis and adenomyosis (control group) were detected by immunohistochemical SABC methods. Statistical analysis was conducted for the correlation between the expressions of Nanog and Oct4 based on patients′ clinical pathological parameters. Results Nanog and Oct4 protein expressions in ectopic endometrium group were higher than that in control group (P 0.05); there was positive correlation between the expressions of Nanog and Oct4 in ectopic endometrium group (r = 0.590, P < 0.01). Conclusion Nanog and Oct4 present high expression in eutopic and ectopic endometrium , which may play a important role in the development of endometriosis and adenomyosis.

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