Objective To observe the effect of GPR30 agonist G1 on high glucose-induced endoplasmic reticulum stress ( ERS) in endothelial EA .hy926 cells.Methods EA.hy926 endothelial cells were divided into three groups:nor-mal control group (Con, 17.51 mmol /L glucose), high glucose (HG, 33.3 mmol /L), high glucose +G1 group (HG+G1, HG +1 μmol/L G1).The apoptosis rate of endothelial cells was measured by flow cytometry , the protein expres-sion changes of ERS related molecules Bip , IRE1, PERK and apoptotic molecules Bax , Bcl-2 were measured by Western blot, the mRNA expressions of Bip and CHOP were measured by RT-PCR assay.Results Compared with Con group , the apoptosis in HG group was significantly increased (P <0.01), Bip, IRE1, PERK and apoptotic molecule Bax were upreg-ulateded (P <0.05, P<0.01 or P <0.001), Bcl-2 downregulatted (P <0.01) and Bip mRNA, CHOP mRNA expres-sion were upregulated (P <0.001 and P<0.01).Compared with the HG group, apoptosis rate in HG +G1 group was significantly lower (P <0.05), BIP, IRE1, PERK and apoptotic molecules Ba.0 downregulated ( P <0.05 or P <0.01), Bcl-2 expressions was increased (P <0.05), Bip mRNA and CHOP mRNA expression were decreased (P<0.001 or P<0.01).Conclusion GPR30 agonist G-1 inhibits EA.hy926 ERS in endothelial cells.

ObjectiveTo investigate the role of reducing the door-to-needle time for patients with acute ischemic stroke based on the quality improvement program of PDCA cycle.MethodsConsecutive patients with acute ischemic stroke admitted to hospital were registered prospectively from January 1, 2016 to September 30, 2016.Questionnaires and time tracking method were used to investigate the door-to-needle (DNT) and its influencing factors.PDCA cycle method was used to improve the stroke channel workflow and the changing trend of DNT was analyzed.ResultsA total of 71 patients with acute ischemic stroke were enrolled.After 3 PDCA cycles, DNT (median, interquartile range) from 100.0 min (65.5-127.0 min) reduced to58.0 min (45.5-80.0 min) (Z=11.689, P<0.001), the proportion of the patients with DNT ≤60 min increased from 19.05% to 60.00% (χ2=7.893, P=0.019).Conclusions The quality improvement program of PDCA cycle may effectively reduce the time of DNT in patients with acute ischemic stroke.

China ; Humans ; Medical Informatics ; Public Health

Objective:To explore the evaluation value of sequential organ failure assessment (SOFA) score at different time points in the prognosis of patients with severe pneumonia combined with acute respiratory distress syndrome (ARDS).Methods:A retrospective cohort study method was conducted, including patients with severe pneumonia and ARDS admitted to the emergency intensive care unit (ICU) of General Hospital of Ningxia Medical University from January 2015 to December 2019. General clinical data such as gender, age, and the SOFA scores at 1, 2, 3, and 7 days after admission were recorded. According to the diagnostic test, the prognostic evaluation value of SOFA score in patients with severe pneumonia combined with ARDS at different time points and different ages was analyzed.Results:A total of 88 cases were included in this study, eventually, 42 cases were survived and 46 cases died, the mortality was 52.27%. The age of the death group was significantly older than the survival group (years old: 60.67±14.66 vs. 51.91±15.97), the SOFA score at each time point were significantly higher than those in the survival group (9.83±3.50 vs. 7.54±2.67, 9.98±3.75 vs. 7.48±2.92, 10.84±4.14 vs. 7.23±2.94, 11.71±4.03 vs. 6.51±3.22, respectively at 1, 2, 3, 7 days after admission, all P < 0.01). The receiver operator characteristic curve (ROC curve) showed that the SOFA score at 1, 2, 3, and 7 days after admission had a certain predictive value for the prognosis of patients with severe pneumonia combined with ARDS (all P < 0.01), and with the prolong of ICU stay, the area under ROC curve (AUC) of SOFA score had gradually increased. On the 7th day after admission, the SOFA score had the highest sensitivity in predicting severe pneumonia combined with ARDS patients, which was 92.86%, and the specificity was the highest on the 3rd day after admission, which was 88.10%. The AUC in day 7 was significantly higher than day 2 (0.85 vs. 0.72) , there was no statistically significant difference of AUC at other time points. After stratifying by age, the diagnostic of sensitivity, specificity, accuracy, and AUC of SOFA score for the prognosis had gradually increased, and the predictive value was better. However, only on day 3 after admission, the AUC of SOFA score was significantly higher than day 1 (0.80 vs. 0.77, P < 0.05), and there was no significant difference in AUC at other time points. In patients older than 60 years old, the AUC of the SOFA score predicting the prognosis of patients was relatively small on day 1 and day 2 (0.67, 0.68, respectively), the ability was poor. There was no statistically significant difference in the AUC of SOFA scores at each time point in evaluating the prognosis of patients. The trends over time of patients at different ages and time points showed that regardless of age, the SOFA scores of the patients in the death group showed an upward trend, while showed a downward trend in the survival group, the difference reached the largest on the 7th day after admission, and the death group was significantly higher than the survival group (age < 60 years old: 12.50 vs. 6.69; age≥60 years old: 11.58 vs. 6.21). Conclusion:The initial SOFA score has a certain value in the evaluation of prognosis of severe pneumonia patients combined with ARDS, but the effect is poor for elderly patients.

OBJECTIVETo investigate the epidemiological characteristics of human infections with avian influenza A (H7N9) in China and to provide scientific evidence for the adjustment of preventive strategy and control measures.

METHODSDemographic and epidemiologic information on human cases were collected from both reported data of field epidemiological investigation and the reporting system for infectious diseases.

RESULTSA total of 433 cases including 163 deaths were reported in mainland China before June 4, 2014. Two obvious epidemic peaks were noticed, in March to April, 2013 and January to February, 2014. Confirmed cases emerged in 14 areas of China. Five provinces, including Zhejiang, Guangdong, Jiangsu, Shanghai, and Hunan, reported about 85% of the total cases. Median age of the confirmed cases was 58 years (range, 1-91), with 70% as males. Of the 418 cases with available data, 87% had ever exposed to live poultry or contaminated environments. 14 clusters were identified but human to human transmission could not be ruled out in 9 clusters.

CONCLUSIONHuman infections with avian influenza A (H7N9) virus showed the characteristics of obvious seasonal distribution, with certain regional clusters. The majority of confirmed cases were among the elderly, with more males seen than the females. Data showed that main source of infection was live poultry and the live poultry market had played a significant role in the transmission of the virus.

Adaptation, Psychological ; Aged ; Animals ; China ; epidemiology ; Demography ; Environmental Pollution ; Female ; Humans ; Influenza A Virus, H7N9 Subtype ; Influenza, Human ; epidemiology ; prevention & control ; transmission ; Male ; Meat ; Poultry ; Research Design