Objective To explore the relationship between condition of hypoxia and prognosis in patient with renal clear cell carcinoma (RCCC).Methods The expression of hypoxia-inducible factor-lo( HIF-1 α) protein in cancer tissue of 89 RCCC cases was examined by streptavidin-biotin complex immunohistochemistry.Clinical and pathological data and prognosis of 89 cases were analyzed retrospectively.There were 66 males and 23 females,with an average age of 57 years.The patients were divided into two groups,the chronic pulmonary disease (CPD) group ( 19 cases) and non CPD (NCPD) group (70 cases),with 46cases in clinical stage I,15 cases in stage Ⅱ,26 cases in stage Ⅲ,and 2 cases in stage Ⅳ.The relationship between survival time and clinicopathological variables including the presence of CPD,the positive rate of HIF-1α protein,smoking history and hemoglobin level were evaluated by the Kaplan-Meier method.And the Cox proportional hazards regression model was build to analyze the correlation between each variable and survival time.Results The 89 cases were followed up for a median time of 19 months (6 to 84 months).Twenty cases died,and 69 cases survived.Between the CPD group and NCPD group,clinical stage,hemoglobin level and the degree of expression of HIF-1 α were significantly different (P ＜ 0.05 ).The median survival time was 44 and 71 months in CPD group and NCPD group,respectively,and the difference was significant ( P ＜ 0.05 ).The median survival time was 43 and 70 months in Hb≤ 110 g/L group and Hb ＞ 110 g/L group,respectively,and the difference was significant ( P ＜ 0.05).The stronger the degree of expression of HIF-lα was,the shorter the overall survival was.And the difference was significant ( P ＜0.05 ).Associated with CPD,hemoglobin level,the expression of H1F-1α were independent factors affecting overall survival of the patients (P ＜0.05 ).CPD and HIF-1 α expression were positively related to disease-free survival time,and hemoglobin level was negatively related to disease-free survival time.Conclusions Systemic hypoxia caused by CPD may aggravate the hypoxie state in the organization of the patients with RCCC.The condition of hypoxia and prognosis in patient with RCCC is negatively correlated.

[Objective] To explore the variety of matrix metalloproteinase 9 (MMP9) and blood brain barrier (BBB) in cardiopulmonary resuscitation rats.[Methods] Eighty rats were randomly divided into 2 groups:the sham-operated group (n ＝ 40) and the resuscitation group (n ＝ 40).The two groups were anaesthetized and endotracheally intubated,the resuscitation group was also induced to cardiac arrest by aphysia.Then the rats were put to death and samples were taken at immediate,3 h,9 h,24 h,and 48 h.After that,the expression of MMP9,MMP9 mRNA,water content and Evans blue content in brain tissue were detected.Ultramicrostructure of brain tissue was observed with electron microscope.[Results] Compared to the sham-operated group,at 3 h,9 h,24 h and 48 h,the expression of MMP9 of resuscitation group was significantly changed.MMP9mRNA significantly increased.Water content statistically increased and so was Evans blue content.The change of ultramicrostructure in the resuscitation group at 3 h,9 h,24 h,and 48 h was obvious.[Conclusion] The expression of MMP9 and MMP9mRNA obviously increased in the cerebral ischemia model with CPR rats,and got to peak at 24 h.Water content and Evans blue content in brain tissue obviously increased in the cerebral ischemia model with CPR rats,BBB was destroyed,and the peak was 24 h.The injury of ultramicrostructure of brain tissue with electron microscope was obvious,and the peak was 24 h.

Objective:To explore the influence of hypophosphatemia on weaning from mechanical ventilation.Methods:An observational study was conducted. The medical records of 30 mechanical ventilated patients with hypophosphatemia admitted to intensive care unit of Sun Yat-sen Memorial Hospital of Sun Yat-sen University from January 2018 to August 2020 were analyzed; another 60 mechanical ventilated patients with normophosphatemia around the same time were enrolled as controls by 1∶2 case-control matching based on gender, age, acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score, sequential organ failure assessment (SOFA) score. And then the duration of invasive mechanical ventilation, times of spontaneous breathing trial (SBT), the diaphragmatic ultrasonography movement indexes, and outcome of weaning and prognosis during hospitalization were compared between the two groups. Receiver operator characteristic curve (ROC curve) was plotted to calculate the areas under ROC curve (AUC) and cut-off values of serum phosphorus for successful weaning and hospital survival. The correlations between the diaphragmatic ultrasonography movement indexes and serum phosphorus were analyzed by Pearson partial correlation analysis.Results:Compared with normophosphatemic group, the duration of invasive mechanical ventilation in hypophosphatemia group was significantly longer [days: 13.0 (7.0, 22.0) vs. 10.0 (5.5, 14.0), P < 0.05], and SBT attempts were more often [times: 3 (0, 5) vs. 1 (1, 2), P < 0.01], while the rate of successful weaning was lower (53.3% vs. 91.7%, P < 0.01), and the hospital mortality was higher (20.0% vs. 1.7%, P < 0.01). ROC curve analysis showed that serum phosphorus could predict successful weaning of mechanical ventilated patients, the AUC was 0.795, and the optimum cut-off value of serum phosphorus was 0.85 mmol/L with sensitivity of 73.2% and specificity of 84.2%. Serum phosphorus could predict hospital survival of mechanical ventilated patients, the AUC was 0.782, and the optimum cut-off value of serum phosphorus was 0.48 mmol/L with sensitivity of 81.9% and specificity of 85.7%. Compared with normophosphatemic group, diaphragm thickness at the end of inspiration (DTei), diaphragm thickness at the end of expiration (DTee), diaphragm thickening fraction (DTF), diaphragm excursion (DE) in hypophosphatemia group were all significantly decreased [DTei (cm): 0.19±0.07 vs. 0.27±0.08, DTee (cm): 0.14±0.05 vs. 0.19±0.06, DTF: (33.55±16.17)% vs. (45.04±18.66)%, DE (cm): 1.17±0.49 vs. 2.28±0.69, all P < 0.01]. Pearson partial correlation analysis showed that linear correlations were found between serum phosphorus and DTei, DTee, DTF, DE ( r values were 0.442, 0.351, 0.293, 0.628 respectively, all P < 0.01). Conclusions:Serum phosphorus may have correlation with the diaphragmatic ultrasonography movement indexes. Hypophosphatemia may impair the contractile properties of diaphragm, induce more SBT attempts and longer duration of invasive mechanical ventilation, and affect outcome of weaning and prognosis.

PURPOSE: Developing a risk prediction model for invasive fungal disease based on an analysis of the disease-related risk factors in critically ill patients in the intensive care unit (ICU) to diagnose the invasive fungal disease in the early stages and determine the time of initiating early antifungal treatment. METHODS: Data were collected retrospectively from 141 critically ill adult patients with at least 4 days of general ICU stay at Sun Yat-sen Memorial Hospital, Sun Yat-sen University during the period from February 2015 to February 2016. Logistic regression was used to develop the risk prediction model. Discriminative power was evaluated by the area under the receiver operating characteristics (ROC) curve (AUC). RESULTS: Sequential organ failure assessment (SOFA) score, antibiotic treatment period, and positive culture of Candida albicans other than normally sterile sites are the three predictors of invasive fungal disease in critically ill patients in the ICU. The model performs well with an ROC-AUC of .73. CONCLUSION: The risk prediction model performs well to discriminate between critically ill patients with or without invasive fungal disease. Physicians could use this prediction model for early diagnosis of invasive fungal disease and determination of the time to start early antifungal treatment of critically ill patients in the ICU.
Adult ; Candida albicans ; Critical Care* ; Critical Illness* ; Early Diagnosis ; Humans ; Intensive Care Units* ; Logistic Models ; Retrospective Studies ; Risk Factors ; ROC Curve ; Solar System