Objective To compared analgesic effect of sufentanil and fentanyl in surgery patients during mechanical ventilation, and to explore the rational dosage of analgesic and sedative drugs. Methods A prospective randomized controlled trial was conducted. 600 postoperative critically ill patients underwent mechanical ventilation for 12-72 hours admitted to Department of Critical Care Medicine of the Second Affiliated Hospital of Kunming Medical University from April 2013 to March 2015 were enrolled. They were randomly divided into two groups, sufentanil and fentanyl was used for analgesia respectively, and 300 patients in each group. The initiate dosage of sufentanil and fentanil was 5 μg/h and 50 μg/h, and the dosage was adjusted. A postoperative pain score (Prince-Henry score) of 0-1, and Richmond agitation-sedation scale (RASS) score -1-0 were targeted. 1 mg/kg of propofol was used if patient could not fall in sleep or felt anxious after loading dose of sufentanil (5 μg) or fentanil (50 μg) for 5 minutes. The use of analgesic drugs, the proportion and dosage of propofol was observed in the two groups, and adverse reactions were recorded. Results The mean dose of sufentanil for analgesia was (0.07±0.02) μg·kg-1·h-1, and the mean dose of fentanyl was (0.67±0.12) μg·kg-1·h-1. The patients in the two groups received propofol 40 to 60 mg/h in night, and the use proportion of propofol in sufentanil group was slightly less than that in fentanyl group (25.7% vs. 28.3%), but the difference was not statistically significant (P > 0.05). It was found by subgroup age analysis that, the mean analgesic dose of sufentanil or fentanyl in patients over 80 years old was lower than that in 70-79 years, 60-69 years and < 60 years groups but without statistical significance. There were 11 cases (3.7%) and 21 cases (7.0%) patients suffered from respiratory depression in sufentanil group and fentanyl group, respectively, without statistical significance (P = 0.069). The hemodynamics of patients in two groups was stable during analgesia, and no accidental extubation due to restlessness was found. Conclusions A smaller dose of sufentanil for postoperative patients underwent mechanical ventilation with satisfactory analgesia was (0.07±0.02) μg·kg-1·h-1, but need to be added with 40-60 mg/h and a small dose of propofol to improve anxiety and sleep. The proportion of patients needing propofol addition was slightly lower than that of fentanyl.

Objective:To analyze the trend relevant factors leading to death and their patterns over a 10-year period in inpatients with connective tissue diseases (CTDs).Methods:All clinical data about death in inpatients with CTDs were retrospectively reviewed between 2005 and 2014 at the Department of Rheumatology and Immunology in Xiangya Hospital of Central South University.Results:In the 10-year time period,the overall hospital mortality was 15.689‰.The disease itself accounted for 44.71% of the total causes of death,infection accounted for 42.94%,and comorbidities accounted for 12.35%.The constituent ratio of deaths and the average hospital mortality caused by the disease itself declined gradually year by year,and the constituent ratio of deaths caused by infection and comorbidities increased gradually year by year (P<0.05).In 2013-2014,infection was the leading cause of death,which accounted for 51.06%.The survival time for CTDs inpatients with interstitial lung disease (ILD) was shorter than that of CTDs inpatients without ILD,and even the risk of death was 1.722 times of the latter.The proportion of deaths caused by the disease itself was the highest in systemic sclerosis and systemic lupus erythematosus,that by infection was the highest in idiopathic inflammatory myopathy (IIM),and that by comorbidities was the highest in rheumatoid arthritis.Conclusion:The proportion of deaths and the hospital mortality in CTDs inpatients caused by the disease itself show a declining trend,while the proportion of deaths caused by infection and comorbidities increase.CTDs patients with ILD have shorter survival time and an increase in risk of death.

Objective:To analyze the predictive value of von Willebrand factor (vWF) for venous thromboembolism (VTE) of patients in intensive care unit (ICU) by using propensity score matching (PSM).Methods:Patients admitted to ICU of the Second Affiliated Hospital of Kunming Medical University from December 2020 to June 2022 who stayed in ICU for ≥72 hours and underwent daily bedside vascular ultrasound screening were included. Baseline data such as age, gender, primary disease, and chronic comorbidities were collected. Coagulation indexes before admission to ICU and 24 hours and 48 hours after ICU admission were collected, including prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), international normalized ratio (INR), fibrinogen (Fib), fibrin monomer (FM), vWF, D-dimer, antithrombin Ⅲ (ATⅢ), etc. Patients were divided into VTE group and non-VTE group according to whether they had VTE or not [diagnosis of VTE: patients underwent daily ultrasound screening of bedside blood vessels (both upper and lower limbs, visceral veins), and those suspected of having thrombosis were confirmed by ultrasonographer or pulmonary angiography]. Using PSM analysis method, the VTE group was used as the benchmark to conduct 1 : 1 matching of age, whether there was malignant tumor, whether there was infection, whether there was diabetes, and coagulation indicators before admission to ICU. Finally, the cases with balanced covariates between the two groups were obtained. The risk factors of VTE were analyzed by multivariate Logistic regression analysis. Receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of vWF in the occurrence of VTE in critically ill patients.Results:A total of 120 patients were enrolled, of which 18 (15.0%) were diagnosed with VTE within 72 hours after admission to ICU, and 102 (85.0%) were not found to have thrombus in ICU. Before PSM, there were significant differences in age, gender, proportion of malignant tumor and infection, and coagulation indexes between VTE group and non-VTE group. After PSM, 14 pairs were successfully matched, and the unbalanced covariables between the two groups reached equilibrium. Multivariate Logistic regression analysis showed that vWF was an independent risk factor for VTE at 48 hours after ICU admission in critically ill patients [odds ratio ( OR) = 1.165, 95% confidence interval (95% CI) was 1.000-1.025, P = 0.004]. ROC curve analysis showed that the area under the ROC curve (AUC) of vWF at 48 hours after ICU admission for predicting VTE was 0.782, 95% CI was 0.618-0.945, P = 0.007. When the optimal cut-off value was 312.12%, the sensitivity was 67.7% and the specificity was 93.0%. Conclusion:Dynamic monitoring of vWF is helpful to predict the occurrence of VTE in ICU patients, and vWF at 48 hours after ICU admission has certain value in predicting the occurrence of VTE.

Pregnancy has increased susceptibility to H1N1 influenza virus infection. Maternal influenza infection is associated with increased risk of morbidity and mortality. A case of influenza A (H1N1) during late pregnancy (pregnancy 1, birth 0, pregnancy 30⁺² weeks) was admitted to the Second Affiliated Hospital of Kunming Medical University on December 16th, 2018. The patient was set on mechanical ventilation with a FiO₂ of 1.0, a positive end-expiratory pressure (PEEP) of 15 cmH₂O (1 cmH₂O = 0.098 kPa), and a tidal volume of 4-6 mL/kg (ideal body weight). However the pulse oxygen saturation (SpO₂) could only be maintained at about 0.85. The disease was controlled by the treatments of anti-infection, mechanical ventilation, immune therapy, nutritional support, preventive anticoagulant treatment by heparin sodium, adequate negative fluid balance, and other organ support therapy. This article introduced the treatment process of the patient in detail, and provided experience for clinical treatment.