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Objective:To investigate the static and dynamic trends of scientific research efficiency of the critical care medicine in hospitals affiliated S university during the 13th Five-Year Plan period.Methods:Based on the scientific research data of 16 hospitals affiliated to Beijing S University from 2014 to 2020, the scientific research investment funds and the number of physicians involved in scientific research were selected as input evaluation indexes, and the number of science citation index (SCI) papers, Chinese science citation database (CSCD) papers, and the number of masters and doctors trained were selected as output evaluation indexes, and the evaluation index system of scientific research efficiency of critical care medicine was constructed. SPSS version 23.0 software was used for descriptive data statistics, and data envelopment analysis (DEA)-BCC model and DEA-Malmquist index model of DEAP 2.1 software were used for static and dynamic evaluation of its scientific research efficiency from 2016 to 2020, respectively.Results:① The scientific research technical efficiency (TE) of critical care medicine in 16 hospitals affiliated with S universities varied greatly from 2016 to 2020, but pure technical efficiency (PTE) and scale efficiency (SE) were at a good level, and 6-11 affiliated hospitals in critical care medicine kept DEA effective for 5 consecutive years. ② Dynamic analysis of their total factor productivity (TFP) of scientific research from 2016 to 2020 showed a trend of rising and then falling and then rising again. The mean value was 0.985. The technical efficiency change (TEC) showed a decreasing and then increasing trend, and the technical progress change (TC) showed a slow increasing and then decreasing trend, with a mean value of 0.953. While the mean values of TEC, pure technical efficiency change (PTEC) and scale efficiency change (SEC) were above 1, which showed that the growth of total factor productivity index of research and innovation depended more on the technical efficiency index.Conclusions:The "gain effect" and "catch-up effect" of scientific research efficiency in the specialty of critical care medicine in hospitals affiliated S universities are obvious, but the "growth effect" is not obvious. "Although the research efficiency of the 13th Five-Year Plan period has been significantly improved, there is still much room for improvement in scientific and technological innovation and international academic influence.
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Objective To evaluate the effect of combination therapy with milrinone and esmolol on hemodynamics and cardiac function in patients with septic myocardial depression. Methods From October 2010 to October 2013,after the hemodynamics and cardiac function were evaluated by pulse indicator continuous cardiac output (PICCO),74 sepsispatients withCI < 2.2 L/min · m2 after fluid resuscitation were enrolled in the study and were divided into group A with intravenous injection of dobutamine hydrochloride ,and group B with intravenous injection of milrinone and esmolol,with 37 cases in each group. The patients'PICCO indicators, echocardiography and cardiac biomarker(CK,CK-MB,MYO,cTnI and ProBNP)in two groups were compared before and after 3-day treatment. Results (1)CI and GEF were significantly increased in group B after 3-day treatment when compared with those in group A.(2)Compared with those in group A,early diastolic mitral flow velocity/end diastolic mitral velocity (E/A) and right ventricular diastolic diameter(RVD) in group B had statistical significance.(3) CK-MB,cTnI and ProBNP decreased significantly in group B when compared with those in group A. Conclusion Combination therapy with milrinone and esmolol can increase cardiac ejection function,slow down the heart rate,reduce the heart blood and vascular preload,lessen the injury of myocardial and improve heart function.
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Objective To investigate the effect of non invasive cardiac output monitoring(NICO)system in pig model with acute respiratory distress syndrome(ARDS),and to provide experimental basis for clinical application. Methods Eleven anaesthetized and ventilated ARDS male pig models were induced by intravenously infusing 0.2 mL/kg oleic acid. Lung recruitment was condocted by pressure control ventilation on pigs with ARDS. The optimal positive end-expiratory pressure(PEEP)was determined by optimal dead space fraction〔the ratio of dead space to tidal volume(VD/VT)〕. Cardiac output(CO)was determined by NICO,the respiratory function was monitored, and the VD/VT,dynamic compliance(Cdyn),oxygenation index(PaO2/FiO2),the volume of alveolar ventilation(Valv) and arterial blood oxygen saturation(SaO2)were recorded before infusing oleic acid,after stabilization of ARDS model and at optimal PEEP level,and the intrapulmonary shunt fraction(Qs/Qt)was calculated. CO was also determined by application of pulse indicated continuous cardiac output(PiCCO),and the linear regression analysis between CO determined by NICO and CO determined by PiCCO was conducted. Results Seven experimental ARDS pigs model were successfully established. The optimal PEEP identified by the lowest VD/VT method was(15.71±1.80)cmH2O (1 cmH2O=0.098 kPa). Compared with before infusing oleic acid,VD/VT and Qs/Qt after stabilization of ARDS model were significantly increased〔VD/VT:(72.29±8.58)% vs.(56.00±11.06)%,Qs/Qt:(21.04±15.05)%vs.(2.00±1.32)%,both P0.05). There was linear correlation between CO determined by NICO and CO determined by PiCCO(r2=0.925,P<0.001). Conclusions NICO technique provides a useful and accurate non invasive estimation of CO and respiratory function.VD/VT provided by NICO can titrate the optimal PEEP in patients with ARDS.
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Objective To explore the risk factors of the occurence and 28-day death of acute respiratory distress syndrome (ARDS) in intensive care unit (ICU). Methods A prospective multicentral cohort study was conducted. The patients from five ICUs of grade A tertiary hospitals in Beijing from July 2009 to March 2014, including sepsis,septic shock,trauma,pneumonia,aspiration,massive blood transfusion,bacteremia and pulmonary contusion,were enrolled. Researchers in each center reported the records with uniform tables,which included demographic,systemic conditions,the primary disease,and the severity within 24 hours,past history and so on. According to the admission diagnosis in ICU,these patients were divided into ARDS group and other severe disease control group. The risk factors of occurence and prognosis of ARDS were analyzed by univariate analysis,multivariate logistic regression and multivariate COX regression analysis. Kaplan-Meier method was applied to draw the 28-day survival curves of the two groups. Results There were 343 critical patients included in this prospective multicenter cohort study,of which 163 patients who developed ARDS were considered as ARDS group(2 case lost to follow-up, and 49 died)and 180 patients who did not developed ARDS regarded as severe control group(1 case lost to follow-up, and 34 died). The 28-day mortality of ARDS group was significantly higher than that of severe control group〔30.43%(49/161)vs. 18.99%(34/179),χ2=6.013,P=0.014〕. Multivariate logistic analysis showed that aspiration〔odds ratio(OR)=6.390,95% confidence interval(95%CI)=2.046-19.953,P=0.001〕,history of alcohol (OR=4.854,95%CI=1.730-13.617,P=0.003),sepsis(OR=2.859,95%CI=1.507-5.425,P=0.001), pneumonia(OR=2.822,95%CI=1.640-4.855,P30 beats/min(OR=3.305,95%CI=1.910-5.721,P100 beats/min(OR=2.101,95%CI=1.048-4.213,P=0.037)happened in critically ill patients, it highly suggested ARDS would happen. The proportion of the patients whose serum creatinine>176.8 μmol/L in ARDS group was lower than that in control group(OR=0.387,95%CI=0.205-0.733,P=0.004). Multivariate COX regression analysis showed that old age and septic shock were significantly associated with the increased risk of in 28-day death of ARDS〔advanced age:hazard ratio(HR)=1.040,95%CI=1.018-1.064,P30 beats/min and heart rate>100 beats/min could predict the occurrence of ARDS in critical patients. Old age and septic shock were the risk factors of 28-day death of ARDS.