Objective To investigate the changes of microRNA-150 ( miR-150) in peripheral blood leukocytes in sepsis patients, and their relationship with expression of immune cytokines and sepsis severity. Methods The level of mature miR-150 was quantified by real-time reverse transcriptase-polymerase chain reaction (RT-PCR) and normalized to that of control miRNA, U6, in peripheral blood leukocytes of 40 patients with sepsis, 20 patients with systemic inflammatory response syndrome ( SIRS) , and 20 normal individuals. Serum concentrations of tumor necrosis factor alpha (TNF-α) and interleukin-10 (IL-10) were measured by enzyme-linked immunoabsorbent assay in all subjects. The sequential organ failure assessment ( SOFA) score systemwas used to evaluate the severity of sepsis. The relationships between miR-150 and the white blood cell count ( WBC) , TNF-α, IL-10 and SOFA score of the sepsis patients were analyzed. Results MiR-150 was stable for at least 5 days when specimen stored at 4 ℃ and the determination of miR-150 had a broad linear detecting range ( 6. 97-6. 97 ×104 pg/ μL RNA, the lowest detecting limit: 6. 97 pg/μL RNA,r=0.999) .MiR-150 expression in the peripheral blood leukocytes in the sepsis group was significantly lower than that in the healthy control group ( Plt;0.01) , while WBC, IL-10 and IL-10/TNF-α ratio were significantly higher ( Plt;0.05) . There was no significant difference in levels of miR-150, IL-10, IL-10/TNF-α ratio, and WBC between the sepsis group and the SIRS group (Pgt;0.05) . There was no significant difference in serum concentrations of TNF-α among three groups ( Pgt;0.05) . MiR-150 expression in non-survivor sepsis patients was significantly lower than that in survivor sepsis patients (Plt;0.05) , while serum IL-10 and IL-10/TNF-αratio were significantly higher (Plt;0.01) , but there was no significant difference in serum TNF-α between the non-survivor group and the survivor group ( Pgt;0.05) . There was significantly negative correlation between miR-150 and SOFA score, TNF-α and IL-10( r=-0. 619, - 0.457, -0. 431, Plt;0.05, respectively) , but no correlation between miR-150 and WBC ( r =-0. 184, Pgt;0.05) . There was no relationship between serum TNF-α, IL-10, IL-10 /TNF-α ratio or SOFA score ( Pgt;0.05) . Conclusions MiR-150 expression in the peripheral blood specimens is significantly decreased in sepsis patients. The expression level of miR-150 not only reflect the situation of inflammatory response, but also may be used as a prognostic marker in sepsis, as it can reflect the severity of sepsis in certain degree.
Abstract: Objective To compare the multiple organ dysfunction score (MODS), the sequential organ failure assessment (SOFA), the acute physiology, age, and chronic health evaluation system Ⅱ(APACHE Ⅱ), the acute physiology, age, and chronic health evaluation system Ⅲ(APACHE Ⅲ) in evaluating risks for patients after cardiac surgery, in order to provide better treatment and prediction of prognosis after cardiac operation. Methods A prospective study was carried out on 1 935 cardiac postoperative patients, including 1 050 males and 885 females, enrolled in cardiac postoperative intensive care unitof Anzhen hospital between October 2007 and April 2008. The age of the patients ranged from 18 to 86 years with the mean age of 53.96 years. The patients underwent the surgery because of various cardiac diseases including coronary heart disease, valve disease, congenital heart disease, aortic aneurysm, pericardial disease, atrial fibrillation, and pulmonary embolism. We used MODS, SOFA, APACHE Ⅱ, and APACHE Ⅲ respectively to calculate the value of the first day after operation, the maximum value during the first three days, the maximum value, and the change of the value between the third day and the first day for every patient, and then we compared the calibration and discrimination of these different systems using HosmerLemeshow goodnessoffit analysis and Receiver Operating Characteristic (ROC) curve. Results There were 47 perioperative deaths because of circulating system failure, respiration failure, kidney failure, liver failure or nervous system diseases. The death rate was 2.43%. In discrimination analysis, the area under the curve (AUC) in ROC of the first day value after operation, the maximum value, the maximum value during the first three days, and the change of value between the third day and the first day for MODS were respectively 0.747, 0.901, 0.892, and 0.786; for SOFA were respectively 0.736, 0.891, 0.880, and 0.798; for APACHE Ⅱ were respectively 0.699, 0.848, 0,827, and 0.562; for APACHE Ⅲ were respectively 0.721, 0.872, 0.869, and 0.587. In calibration analysis, we compared the χ2 value of the first day value, the maximum value, the maximum value during the first 3 days, and the change of value between the third day and the first day of these systems. χ2 value of MODS was 4.712, 5.905, 5.384, and 13.215; χ2 value of SOFA was 8.673, 3.189, 3.111, and 14.225; χ2 value of APACHE Ⅱ was 15.688, 10.132, 8.061, and 42.253; χ2 value of APACHE Ⅲ was 13.608, 11.196, 19.310, and 47.576. AUC value of MODS and SOFA were all larger than those of APACHE Ⅱ and APACHE Ⅲ (Plt;0.05); AUC value of APACHE Ⅱ was smaller than that of APACHE Ⅲ (Plt;0.05). Conclusion MODS, SOFA, APACHE Ⅱ and APACHE Ⅲ are all applicable in evaluating risks for patients after cardiac surgery. However, MODS and SOFA are better than APACHE Ⅱ、APACHE Ⅲ in predicting mortality after cardiac surgery. In cardiac surgery, the complicated APACHE Ⅱ and APACHE Ⅲ systems can be replaced by MODS and SOFA systems which are simpler for use.
ObjectiveTo investigate the prognostic value of high mobility group protein 1 (HMGB1) in patients with ventilator-associated pneumonia (VAP). MethodsA total 118 VAP patients admitted between March 2013 and March 2015 were recruited in the study. The patients were divided into a death group and a survival group according to 28-day death. Baseline data, HMGB1, C-reactive protein (CRP), clinical pulmonary infection score (CPIS), acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) and sepsis-related organ failure assessment (SOFA) scores were collected on 1st day (d1), 4th day (d4), and 7th day (d7) after VAP diagnosis. The possible prognostic factors were analyzed by univariate and logistic multivariate analysis. ResultsThere were 87 cases in the survival group and 31 cases in the death group. Age, female proportion, body mass index, HMGB1 (d1, d4, d7), APACHEⅡ (d1, d4, d7) and SOFA (d1, d4, d7) scores were all higher in the death group than those in the survival group (all P < 0.05). HMGB1 (d4, P=0.031), APACHEⅡ (d4, P=0.018), SOFA (d4, P=0.048), HMGB1(d7, P=0.087), APACHEⅡ(d7, P=0.073) and SOFA (d7, P=0.049) were closely correlated with 28-day mortality caused by VAP. Multivariate analysis revealed that HMGB1 (d4, HR=1.43, 95%CI 1.07 to 1.78, P=0.021), SOFA (d4, HR=1.15, 95%CI 1.06 to 1.21, P=0.019) and HMGB1 (d7, HR=1.27, 95%CI 1.18 to 1.40, P=0.003) were independent predictors of death in the VAP patients. ROC curve revealed HMGB1 (d4, d7) and SOFA (d4) with area under ROC curve of 0.951, 0.867 and 0.699. ConclusionIndividual HMGB1 level can be used as a good predictor of the short-outcomes of VAP.