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Objective:To establish an evaluation index system for the refinement management of respiratory specialties in four dimensions: medical care, teaching, scientific research and personnel training, to develop a refinement management system based on medical big data, and evaluate the effectiveness of its application.Methods:Based on evaluation indexes and literature of several domestic respiratory specialty influence rankings, an index system covering four dimensions (primary indexes), 16 secondary indexes and 73 tertiary indexes covering medical treatment (30%), teaching (15%), scientific research (40%) and personnel training (15%) was devised using brainstorming, Delphi, and hierarchical entropy weighting. Data from 13 professional groups and 248 respiratory discipline members integrated by the system in 2018 and 2019 were statistically analyzed using the refined index system embedded in the system to understand the system's application after a year of use with comparing the four dimensions of the discipline and the changes among specialty groups before and after implementation.Results:In 2019, respiratory medicine′s comprehensive score grew 30% compared to 2018. The subscores also grew, with scientific research showing the largest growth rate of 136% and talent cultivation showing the second highest. In 2019, ten of the 13 professional groups grew by 2% to 135%.Conclusions:An improved management system for respiratory medicine based on big data technology has provided a comprehensive, intuitive and quantitative view of the discipline′s development in four dimensions and the differences among specialty groups. It will be an effective decision-making tool for ensuring high-quality and balanced discipline development.
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Objective:To evaluate the safety and efficacy of argatroban applied as alternative anticoagulant in critical illness patients underwent extracorporeal membrane oxygenation (ECMO) with contraindications of unfractionated heparin (UFH), and to further explore the effective dose of argatroban.Methods:From July 1, 2013 to February 28, 2022, there were 14 patients who admitted in the respiratory intensive care unit (RICU) of Beijing Chao-Yang Hospital received ECMO and used argatroban for anticoagulation (argatroban group). Two of them received argatroban as the initial anticoagulant. The remaining 12 patients used UFH at first, and then switched to argatroban. UFH group included 28 patients who received UFH for anticoagulation after matching the demographic characteristics. Primary endpoint was the prevalence of ECMO-related thrombotic events. Secondary endpoints included the type of thrombotic events, prevalence of ECMO-related major bleeding events, bleeding sites, ICU mortality, mortality during ECMO, liver and kidney function, thrombelastogram, blood transfusion, dosage of argatroban, the dynamic changes of coagulation variables 4 days before and 7 days after argatroban treatment.Results:In argatroban group, there were 8 patients received veno-venous ECMO (VV-ECMO), 2 patients with veno-arterial ECMO (VA-ECMO), and 4 patients with veno-arterio-venous ECMO (VAV-ECMO). In UFH group, VV-ECMO was applied in 23 patients, VA-ECMO and VAV ECMO was established in 3 patients and 2 patients, respectively. In endpoint events, the incidence of ECMO related thrombotic events in argatroban group was slightly higher than that in UFH group (28.6% vs. 21.4%). The ECMO running time in argatroban group was slightly longer than that in UFH group [days: 16 (7, 21) vs. 13 (8, 17)]. The incidence of ECMO-related bleeding events (28.6% vs. 32.1%) and mortality during ECMO (35.7% vs. 46.4%) in argatroban group were slightly lower than those in UFH group. However, the differences were not statistically significant (all P < 0.05). The platelet transfusion in argatroban group was significantly higher than that in UFH group [U: 7.7 (0, 10.0) vs. 0.8 (0, 1.0)]. The coagulation reaction time (R value) in thrombelastography in argatroban group was significantly longer than that in UFH group [minutes: 9.3 (7.2, 10.8) vs. 8.8 (6.3, 9.7)]. The maximum width value [MA value, mm: 48.4 (40.7, 57.9) vs. 52.6 (45.4, 61.5)] and blood clot generation rate [α-Angle (deg): 54.1 (45.4, 62.0) vs. 57.9 (50.2, 69.0)] in the argatroban group were significantly lower than those in the UFH group (all P < 0.05). The activated partial thromboplastin time (APTT) was prolonged after changing from UFH to argatroban in the argatroban group [seconds: 63.5 (58.4, 70.6) vs. 56.7 (53.1, 60.9)]. The PLT level showed a decreasing trend during UFH anticoagulation therapy, and gradually increased after changing to argatroban. D-dimer level was 19.1 (7.0, 28.7) mg/L after switching to argatroban, and then no longer showed an increasing trend. The level of fibrinogen (FIB) showed a decreasing trend during the anticoagulant therapy of UFH (the lowest was 23.6 g/L), and fluctuated between 16.8 and 26.2 g/L after changing to argatroban. The median initial dose of argatroban was 0.049 (0.029, 0.103) μg·kg -1·min -1, which the highest dose was in VV-ECMO patients of [0.092 (0.049, 0.165) μg·kg -1·min -1]. The initial dose of VAV-ECMO was the lowest [0.026 (0.013, 0.041) μg·kg -1·min -1], but without significant difference ( P > 0.05). The maintenance dose of argatroban was 0.033 (0.014, 0.090) μg·kg -1·min -1, VV-ECMO patients was significantly higher than those in VA-ECMO and VAV-ECMO patients [μg·kg -1·min -1: 0.102 (0.059, 0.127) vs. 0.036 (0.026, 0.060), 0.013 (0.004, 0.022), both P < 0.05]. Conclusion:Argatroban appears to be a feasible, effective and safety alternative anticoagulant for patients with contraindications to UFH who undergoing ECMO support.
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Objective:To explore the hotspots of the public concerns about quitting smoking before and during the coronavirus disease 2019 (COVID-19) pandemic.Methods:The monthly search index data of four key words, “the harm of smoking”,“quitting smoking”,“passive smoking” and “electronic cigarette” before the COVID-19 (from January, 2016 to December, 2019) and during the COVID-19 (from January, 2020 to December, 2020) pandemic were manually collected from the Baidu Index platform. The one-way ANOVA was used to compare the differences among annual search indexes of four keywords. The linear regression model was used to test the annual linear trend of search index of each keyword before the COVID-19, and the one-sample t-test was used to analyze the differences of the search indexes during the COVID-19 and the means before the COVID-19. Results:During 2016—2020, the annual average search index of “electronic cigarette” was the highest (1.465 million), followed by “the harm of smoking” (0.884 million) and “quitting smoking” (0.780 million), while “passive smoking” was the lowest (0.171 million). Before the COVID-19 (2016—2019), the search index of each keyword had positive cumulative growth, but there was no significant linear trend of annual change ( P>0.05). During the COVID-19 period (2020), the search index of “the harm of smoking” decreased significantly (0.794 million vs 0.907 million, P=0.011), and “quitting smoking” (0.591 million vs 0.827 million, P=0.172) and “passive smoking” (0.164 million vs 0.172 million, P=0.257) showed a downward trend, while the search index of “electronic cigarettes” bucked the trend and increased significantly (1.825 million vs 1.375 million, P=0.010). Conclusions:The public′s online attention to “electronic cigarette” increases dramatically during COVID-19 along with other information about quitting smoking decreases. There are urgent needs for strengthening regulation and monitoring of electronic cigarettes and carrying out more effective publicity of scientific methods to help quit smoking.
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BackgroundCOVID-19 pandemic has developed rapidly and the ability to stratify the most vulnerable patients is vital. However, routinely used severity scoring systems are often low on diagnosis, even in non-survivors. Therefore, clinical prediction models for mortality are urgently required. MethodsWe developed and internally validated a multivariable logistic regression model to predict inpatient mortality in COVID-19 positive patients using data collected retrospectively from Tongji Hospital, Wuhan (299 patients). External validation was conducted using a retrospective cohort from Jinyintan Hospital, Wuhan (145 patients). Nine variables commonly measured in these acute settings were considered for model development, including age, biomarkers and comorbidities. Backwards stepwise selection and bootstrap resampling were used for model development and internal validation. We assessed discrimination via the C statistic, and calibration using calibration-in-the-large, calibration slopes and plots. FindingsThe final model included age, lymphocyte count, lactate dehydrogenase and SpO2 as independent predictors of mortality. Discrimination of the model was excellent in both internal (c=0{middle dot}89) and external (c=0{middle dot}98) validation. Internal calibration was excellent (calibration slope=1). External validation showed some over-prediction of risk in low-risk individuals and under-prediction of risk in high-risk individuals prior to recalibration. Recalibration of the intercept and slope led to excellent performance of the model in independent data. InterpretationCOVID-19 is a new disease and behaves differently from common critical illnesses. This study provides a new prediction model to identify patients with lethal COVID-19. Its practical reliance on commonly available parameters should improve usage of limited healthcare resources and patient survival rate. FundingThis study was supported by following funding: Key Research and Development Plan of Jiangsu Province (BE2018743 and BE2019749), National Institute for Health Research (NIHR) (PDF-2018-11-ST2-006), British Heart Foundation (BHF) (PG/16/65/32313) and Liverpool University Hospitals NHS Foundation Trust in UK. Research in contextO_ST_ABSEvidence before this studyC_ST_ABSSince the outbreak of COVID-19, there has been a pressing need for development of a prognostic tool that is easy for clinicians to use. Recently, a Lancet publication showed that in a cohort of 191 patients with COVID-19, age, SOFA score and D-dimer measurements were associated with mortality. No other publication involving prognostic factors or models has been identified to date. Added value of this studyIn our cohorts of 444 patients from two hospitals, SOFA scores were low in the majority of patients on admission. The relevance of D-dimer could not be verified, as it is not included in routine laboratory tests. In this study, we have established a multivariable clinical prediction model using a development cohort of 299 patients from one hospital. After backwards selection, four variables, including age, lymphocyte count, lactate dehydrogenase and SpO2 remained in the model to predict mortality. This has been validated internally and externally with a cohort of 145 patients from a different hospital. Discrimination of the model was excellent in both internal (c=0{middle dot}89) and external (c=0{middle dot}98) validation. Calibration plots showed excellent agreement between predicted and observed probabilities of mortality after recalibration of the model to account for underlying differences in the risk profile of the datasets. This demonstrated that the model is able to make reliable predictions in patients from different hospitals. In addition, these variables agree with pathological mechanisms and the model is easy to use in all types of clinical settings. Implication of all the available evidenceAfter further external validation in different countries the model will enable better risk stratification and more targeted management of patients with COVID-19. With the nomogram, this model that is based on readily available parameters can help clinicians to stratify COVID-19 patients on diagnosis to use limited healthcare resources effectively and improve patient outcome.
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Objective:To discuss how to avoid the occurrence of adverse events and provides basis for improving the extracorporeal membrane oxygenation (ECMO) transport safety management to formulate the corresponding preventive measures through analyzing the causes and characteristics of adverse events in transport of ECMO.Methods:By using a self-designed ECMO transport observation table to collect data, with a retrospective study of adverse events in patients with ECMO transport in ECMO center of Beijing Chaoyang Hospital from January 2013 to June 2017, carrying out classification and analysis according to the causes of adverse events and the potential risks of the patients, thus put forward the feasible preventive measures.Results:There were 53 cases of ECMO transport in study period, with 18 cases (33.96%) of adverse events, among which the incidence of adverse events in inner-hospital transport was 34.21% (13/38) and that in inter-hospital transport was 33.33% (5/15). There was no patient died in ECMO transport. In the adverse events of ECMO transport, the main causes were related to transport staff, transport equipment and patient, which accounting for 1/3 of each. Among them, the most prominent was 4 cases (22.22%) of equipment lacking and 3 cases of battery and power supply (16.67%). In classification according to the risk degree of patients, 6 cases (33.33%) of third grade risk were found.Conclusions:It is safe and feasible to carry out ECMO transport in inner-hospital transport and inter-hospital transport based on ECMO transport team and transport process of this hospital. However the unexpected events of high risk or crisis of life is inevitable in ECMO transport. Through standardized training for ECMO team, with full assessment before transport, by the use of ECMO checklist and strict implementation of various transport processes and specifications, the incidence of adverse events in ECMO transport may be reduced.
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Extracorporeal membrane oxygenation (ECMO) is a novel mechanical system that provides respiratory and/or hemodynamic support to patients with severe respiratory or cardiac failure.These patients generally develop a state of increased metabolic activity accompanied by elevated catabolism of protein and negative nitrogen balance.Moreover,provision of adequate nutritional therapy is hard to achieve due to various factors.Nutrition support for these patients is hence a critical issue.This article provides a brief overview of the current literature regarding nutritional support during ECMO in adult patients,as no current guidelines address this issue.
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Objective To investigate the alterations and phenotypes of dendritic cells, inflamma-tory monocytes and macrophages in immunocompetent mice during Pneumocystis murina ( P.murina) infec-tion for further analysis of the function of these cells during P.murina infection.Methods Wild type male C57BL/6 mice at age 6-8 weeks were randomly divided into two groups including the group with P.murina infection and the group receiving sham surgery.The mice without any intervention were used to set up the blank control group.The loads of P.murina strains in lung tissues of each mouse were quantified by TaqMan real-time fluorescence polymerase chain reaction after the infection.Histopathological examination was per-formed to evaluate the degree of inflammation in lung tissues.The numbers of dendritic cells, inflammatory monocytes and macrophages in lung tissues, peripheral blood and bone marrow samples, and the changes of inflammatory monocytes in spleen tissues were measured by flow cytometry analysis.The expression of major histocompatability complexⅡ(MHCⅡ), CX3C chemokine receptor 1 (CX3CR1) and CC chemokine re-ceptor 2 ( CCR2 ) by dendritic cells, inflammatory monocytes and macrophages in lung tissues during P.murina infection were analyzed by flow cytometry analysis.All of the data were collected one, two, three and four weeks after the corresponding treatments.Results The loads of P.murina strains in P.murina in-fected mice were elevated after two and three weeks infection, but decline at week 4 (P>0.05).Significant pathological changes including the alveolar destruction, inflammatory cell infiltration and thickened alveolar septum in mice with P.murina infection were observed under a microscope at week 3 and week 4.Compared to the sham surgery treatment group, the number of CD11c+CD11b+dendritic cells were increased in lung tissues, but decreased in blood samples during P.murina infection ( P0.05).The CD11c+CD11b+dendritic cells in lung tissues of mice with P.murina infection expressed high levels of MHCⅡand CX3CR1, and low levels of CCR2.The inflammatory monocytes in lung tissues of mice expressed high levels of CCR2, moderate levels of MHCⅡand low levels of CX3CR1 during P.murina in-fection.High levels of CX3CR1 and low levels of MHCⅡ and CCR2 were observed in macrophages from lung tissues of mice with P.murina infection.Conclusion Highly expressed CD11c+CD11b+dendritic cells and MHCⅡwere detected in lung tissues of mice during P.murina infection, indicating that CD11c+CD11b+dendritic cells were involved in the host defense against P.murina infection.
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<p><b>OBJECTIVE</b>To estimate the feasibility and the efficacy of early extubation and sequential non-invasive mechanical ventilation (MV) in chronic obstructive pulmonary disease (COPD) with exacerbated hypercapnic respiratory failure.</p><p><b>METHODS</b>Twenty-two intubated COPD patients with severe hypercapnic respiratory failure due to pulmonary infection (pneumonia or purulent bronchitis) were involved in the study. At the time of pulmonary infection control window (PIC window) appeared, when pulmonary infection had been significantly controlled (resolution of fever and decrease in purulent sputum, radiographic infiltrations, and leukocytosis) after the antibiotic and the comprehensive therapy, the early extubation was conducted and followed by non-invasive MV via facial mask immediately in 11 cases (study group). Other 11 COPD cases with similar clinical characteristics who continuously received invasive MV after PIC window were recruited as control group.</p><p><b>RESULTS</b>All patients had similar clinical characteristics and gas exchange before treatment, as well as the initiating time and all indices at the time of the PIC window. For study group and control group, the duration of invasive MV was (7.1 +/- 2.9) vs (23.0 +/- 14.0) days, respectively, P < 0.01. The total duration of ventilatory support was (13 +/- 7) vs (23 +/- 14) days, respectively, P < 0.05. The incidence of ventilator associated pneumonia (VAP) were 0/11 vs 6/11, respectively, P < 0.01. The duration of intensive care unit (ICU) stay was (13 +/- 7) vs (26 +/- 14) days, respectively, P < 0.05.</p><p><b>CONCLUSIONS</b>In COPD patients requiring intubation and MV for pulmonary infection and hypercapnic respiratory failure, early extubation followed by non-invasive MV initiated at the point of PIC window significantly decreases the invasive and total durations of ventilatory support, the risk of VAP, and the duration of ICU stay.</p>
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Adulto , Idoso , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Hipercapnia , Terapêutica , Doença Pulmonar Obstrutiva Crônica , Respiração Artificial , Métodos , Insuficiência Respiratória , TerapêuticaRESUMO
<p><b>OBJECTIVE</b>To investigate the impact of proportional assist ventilation (PAV) on tolerance and breathlessness in ventilated chronic obstructive pulmonary disease (COPD), and to describe the patient-ventilator interaction, hemodynamic state, breathing pattern and work of breath during PAV and pressure support ventilation (PSV).</p><p><b>METHODS</b>Ten intubated COPD patients on weaning from mechanical ventilation were studied. Elastance and resistance were measured by both the inspiratory-hold technique during a brief period of volume control ventilation and runaway technique during PAV. Each assistance level of PAV (80%, 60% and 40%) and PSV was selected randomly. Patients' response, hemodynamics, blood gas and lung mechanics were monitored.</p><p><b>RESULTS</b>Tidal volume and respiratory rate didn't change in a consistent manner as the level of assist was decreased (P > 0.05). With the level of assist increasing, peak inspiratory pressure was increasing significantly (P < 0.05), while patients' work of breath had the tendency to decrease (P < 0.05). A significant difference in the Borg Category Scale was observed between PAV and PSV (0.50 [1.50] vs. 0.75 [2.00], P < 0.05) at the same degree of respiratory muscle unloading. PaCO(2) was significantly higher on PAV (54 [23] mm Hg) than on PSV (48 [23] mm Hg) (P < 0.05). Peak inspiratory pressure on PAV was significantly lower than on PSV (16 +/- 4 cm H(2)O vs. 21 +/- 3 cm H(2)O, respectively, P < 0.05). Hemodynamics and oxygenation remained unchanged.</p><p><b>CONCLUSIONS</b>PAV is a feasible method for supporting ventilator-dependent patients and was well tolerated. It can improve the breathing pattern and reduce inspiratory effort. At the same degree of respiratory muscle unloading, PAV can be implemented at much lower peak inspiratory pressure than PSV. It can also apply proportional pressure support according to the patients' ventilatory demand.</p>