Objective To compare the blood high mobility group box-1 (HMGB-l) versus N-terminal prohormone of brain natriuretic peptide (NT-proBNP) for assessment of cardiac dysfunction in the patients with severe sepsis.Methods Ninety-eight patients of both sexes,aged 18-75 yr,were divided into 3 groups according to left ventricular ejection fraction (LVEF):non-cardiac dysfunction group (LVEF ≥ 50 ％,n =43),mild cardiac dysfunction group (30％ ≤ LVEF ＜ 50％,n =41),and severe cardiac dysfunction group (LVEF ＜ 30％,n =14).Acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score was performed.Venous blood samples were obtained for determination of the concentrations of HMGB-1 and NT-proBNP.Days of hospitalization and the survival rates within 28 days after admission to hospital were recorded.Pearson correlation between blood HMGB-l,NT-proBNP concentrations and LVEF was analyzed.Results Compared with non-cardiac dysfunction group,LVEF was significantly decreased,APACHE Ⅱ score and blood HMGB-1 and NT-proBNP concentrations were increased,days of hospitalization were prolonged,and the survival rates were decreased in mild and severe cardiac dysfunction groups,and the changes in the parameters mentioned above were more obvious in severe cardiac dysfunction group.The correlation coefficient between blood HMGB-1 concentration and LVEF was -0.639 and between blood NT-proBNP concentration and LVEF was-0.521,showing significant difference.Conclusion Blood HMGB-1 concentration provides higher reliability than blood NT-proBNP concentration in assessing the degree of cardiac dysfunction in the patients with severe sepsis.

Objective:To analyze the risk factors of multidrug-resistant organism（MDRO）infection among patients in neurosurgery intensive care unit（NSICU）and to construct a risk prediction nomogram.Methods:A total of 434 patients admitted in the NSICU of the First Affiliated Hospital of Kangda College of Nanjing Medical University from August 2021 to October 2022 were enrolled in the study. Patients were divided into modeling group（ n=217）and validation group（ n=217）. Multivariate Logistic regression was used to analyze the risk factors of MDRO infection in patients，and R software was used to construct a risk prediction nomogram.The prediction power of the nomogram was evaluated with receiver operating characteristic（ROC）curve，the calibration of the model was assessed with Hosmer-Lemeshow（H-L）goodness-of-fit method. Results:Multivariate Logistic regression analysis showed that the underlying disease≥3（ OR=2.580，95% CI 1.322-5.035），the combination of antimicrobial drugs >10 days（ OR=2.336，95% CI 1.182-4.615），hypoproteinemia（ OR=1.962，95% CI 1.031-3.735），invasive operation time（10-20 d： OR=2.358，95% CI 1.048-5.306；>20 d： OR=3.486，95% CI 1.643-7.395）and GCS≤8 points（ OR=2.961，95% CI 1.470-5.963）were independent risk factors of MDRO infection among patients in NSICU. The area under the curve（AUC）of the nomogram in predicting the risk of MDRO infection for patients in modeling group was 0.787（95% CI 0.725-0.849）with a sensitivity of 73.3% and a specificity of 72.5%，the H-L test results were χ2=7.482， P=0.486，the calibration curve was close to the ideal curve，and the mean absolute error was 0.022. The AUC of the nomogram in predicting MDRO infection for patients in verification group was 0.800（95% CI 0.739-0.861）with a sensitivity of 74.7% and a specificity of 73.9%，the H-L test results were χ2=9.824， P=0.278，the calibration curve was close to the ideal curve，and the average absolute error was 0.015. Conclusion:The nomogram constructed based on the risk factors can effectively predict the risk of MDRO infection for patients in neurosurgical ICU，which may be used in clinic pratcice.