Lung transplantation has been proved to be an effective treatment after more than forty years of fast development, while more than 4000 cases of lung transplantation performed globally each year. Recently, lung transplantation in China has been advanced rapidly, and the number of transplants has increased year by year. Respiratory and Critical Care Medicine team has been recognized to play a crucial role in lung transplantation. It has an irreplaceable role and status in promoting lung transplantation, improving the preoperative evaluation of lung transplantation and the maintenance of donors, and carrying out perioperative management, as well as long-term follow-up. Lung transplantation is a systematic project, requiring the perfect cooperation and collaboration of team members and contributing to recipients’ recovery.
Objective To explore the diagnosis and treatment of critically ill patients suffering from obstructive sleep apnea-hypopnea syndrome ( OSAHS) . Methods Critically ill patients with OSAHS admitted in intensive care unit from January 2003 to December 2007 were retrospectively analyzed. Results Seventy-nine critically ill patients were diagnosed as OSAHS. The initial diagnosis of OSAHS was made by history requiring, physical examination, and Epworth sleepiness score evaluation. The final diagnosis was comfirmed by polysomnography thereafter. Base on the treatment of primary critical diseases, the patients were given respiratory support either with continuous positive airway pressure ( CPAP) or with bi-level positive airway pressure ventilation ( BiPAP) . Two cases died and the remaining 77 patients were cured anddischarged. Conclusions Timely diagnosis of OSAHS is important to rescue the critically ill patients. Respiratory support combined with treatment of primary critical diseases can improve the outcomes of these patients.
ObjectiveTo analyze the correlation between the vaccination status of inpatients with Omicron variant infection and the risk of Omicron critical illness. MethodsA retrospective analysis was performed on the clinical data of patients with Omicron infection admitted to a designated hospital for COVID-19 in Chengdu from December 1, 2022 to January 31, 2023. Patients were divided into critical group and non-critical group according to their condition and the "COVID-19 Diagnosis and Treatment Program (Tenth Edition)". According to the vaccination status, the patients were divided into incomplete vaccination group, full vaccination group and booster vaccination group. Multivariate logistic regression was used to analyze the association between vaccination, symptoms and signs at admission, and the risk of critical illness. ResultsA total of 3 603 inpatients with Omicron infection were included, including 730 cases (20.3%) in the critical group and 2 873 cases (79.7%) in the non-critical group. There were 2 399 people (66.6%) in the incomplete vaccination group, 433 people (12%) in the full vaccination group, and 771 people (21.4%) in the booster vaccination group. Compared with the incomplete vaccination group, the proportion of critical illness in the full vaccination group and booster vaccination group was lower, and the critical illness rate increased with age (P<0.05). After adjusting for age, gender, and underlying diseases, the results of multivariate logistic analysis showed that full vaccination (OR=0.67, 95%CI 0.50 to 0.89) and booster vaccination (OR=0.76, 95% CI 0.61 to 0.94) were significantly associated with a reduced risk of critical illness. ConclusionFull vaccination and booster dose can effectively reduce the risk of critical illness after infection.
Objective To establish and verify the early prediction model of critical illness patients with influenza. Methods Critical illness patients with influenza who diagnosed with influenza in the emergency departments from West China Hospital of Sichuan University, Shangjin Hospital of West China Hospital of Sichuan University, and Panzhihua Central Hospital between January 1, 2017 and June 30, 2020 were selected. According to K-fold cross validation method, 70% of patients were randomly assigned to the model group, and 30% of patients were assigned to the model verification group. The patients in the model group and the model verification group were divided into the critical illness group and the non-critical illness group, respectively. Based on the modified National Early Warning Score (MEWS) and the Simplified British Thoracic Society Score (confusion, uremia, respiratory, BP, age 65 years, CRB-65 score), a critical illness influenza early prediction model was constructed and its accuracy was evaluated. Results A total of 612 patients were included. Among them, there were 427 cases in the model group and 185 cases in the model verification group. In the model group, there were 304 cases of non-critical illness and 123 cases of critical illness. In the model verification group, there were 152 cases of non-critical illness and 33 cases of critical illness. The results of binary logistic regression analysis showed that age, hypertension, the number of days between the onset of symptoms and presentation at the emergency department, consciousness state, white blood cell count, and lymphocyte count, oxygen saturation of blood were the independent risk factors for critical illness influenza. Based on these 7 risk factors, an early prediction model for critical illness influenza was established. The correct percentages of the model for non-critical illness and critical illness patients were 95.4% and 77.2%, respectively, with an overall correct prediction percentage of 90.2%. The results of the receiver operator characteristic curve showed that the sensitivity and specificity of the early prediction model for critical illness influenza in predicting critical illness patients were 0.909, 0.921, and the area under the curve and its 95% confidence interval were 0.931 (0.860, 0.999). The sensitivity, specificity, and area under the curve (0.935, 0.865, 0.942) of the early prediction model for critical illness influenza were higher than those of MEWS (0.642, 0.595, 0.536) and CRB-65 (0.628, 0.862, 0.703). Conclusions The conclusion is that age, hypertension, the number of days between the onset of symptoms and presentation at the emergency department, consciousness, oxygen saturation, white blood cell count, and absolute lymphocyte count are independent risk factors for predicting severe influenza cases. The early prediction model for critical illness patients with influenza has high accuracy in predicting severe influenza cases, and its predictive value and accuracy are superior to those of the MEWS score and CRB-65 score.
ObjectiveTo systematically review the incidence and influencing factors of early enteral nutritional feeding interruptions in critically ill patients. MethodsThe PubMed, Web of Science, Embase, Cochrane Library, CNKI, WanFang Data and CBM databases were electronically searched to collect observational studies on the early enteral nutritional feeding interruptions in critically ill patients from inception to January 2, 2024. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using Stata 17.0 software. ResultsA total of 12 studies including 1 121 patients were included. Meta-analysis showed that the incidence of early enteral nutritional feeding interruptions in critically ill patients was 75.0% (95%CI 64.0% to 84.0%). Influenced by feeding intolerance, airway management, tube problems, radiological examination, and endoscopy, surgery and so on, interruptions of early enteral nutritional feeding frequently occur in critically ill patients. ConclusionCurrent evidence shows that early enteral feeding interruptions in critically ill patients are affected by many factors, and the incidence is high. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.
ObjectiveTo analyze the clinical characteristics and epidemiological characteristics of patients with coronavirus disease 2019 treated early in Jiangxi province.MethodsFour-night patients with coronavirus disease 2019 treated in this hospital from January 21st to 27th, 2020 were included in this study. The epidemiological and clinical data of patients after admission were collected, and laboratory tests such as blood routine, urine routine, stool routine, liver and kidney function, electrolytes, myocardial enzymes, erythrocyte sedimentation (ESR), C-reactive protein (CRP), calcitonin, coagulation, T cell subset and Chest CT were reviewed. The clinical results of common and severe/critically ill patients were compared.ResultsOf the 49 patients, 40 were common and 9 were severe/critical. Fourty-six patients had a clear history of contact with Wuhan or other areas of Hubei. The sex ratio was 2.06∶1, and the average age was 42.9 years. The symptoms were mainly fever (78.7%), cough (38.8%), and fatigue (18.4%). 28.6% (14 cases) of patients had hypertension and diabetes. Serum lymphocyte count and calcium concentration of the patients were decreased, but lactate dehydrogenase, ESR, CRP and serum amyloid A were increased in these patients. T lymphocyte subsets (CD3+, CD4+, CD8+) decreased significantly in these patients. Forty-seven patients (95.9%) had single or scattered patchy ground glass density shadows on the chest CT. Compared with common patients, the patients with severe/critical patients were older (P=0.023), hospitalized later (P=0.002), and had higher comorbidities (P=0.017). ESR (P=0.001）, CRP (P=0.010) and the serum amyloid A (P=0.040) increased significantly, while CD3+ (P<0.001), CD4+ (P=0.012), CD8+ (P=0.006) decreased significantly in severe/critical patients.ConclusionsThe patients with coronavirus disease 2019 in Jiangxi province are commonly imported from Wuhan. Severe/critical patients are older, hospitalized later, and have more medical complications and more severe systemic inflammatory reactions than common patients.
【摘要】 目的 探讨甲型H1N1流感重症与危重症的护理干预。 方法 回顾分析2009年10月-2010年2月收治的20例甲型H1N1流感重症与危重症患者的治疗方案及其护理干预措施。 结果 16例治愈出院， 4例死亡。其中7例需要呼吸机辅助通气。 结论 甲型H1N1流感重症与危重症需要综合治疗，同时，有效的护理干预也是提高甲型H1N1流感危重症患者治愈率和降低死亡率的关键。【Abstract】 Objective To evaluate the nursing intervention for patients with severe influenza A (H1N1). Methods The clinical data of 20 patients with severe influenza A (H1N1) from October 2009 to February 2010 were retrospectively analyzed. Results In 20 patients, 16 were cured and four died. A total of seven patients needed ventilation assisted with ventilators. ConclusionsThe patients with severe influenza A (H1N1) needs combined modality therapy. At the same time, active and effective nursing intervention is the key point of increasing the recovery rate and decreasing the mortality rate.
Objective To analyze the current situation and demand of emergency and critical care training for medical staff in plateau areas, and to provide a reference for further emergency and critical care training for medical staff in plateau areas. Methods From July 1, 2018 to July 30, 2020, medical staff (including physicians, nursing staff, and other medical staff) from hospitals in various regions of Tibet were surveyed anonymously, to investigate the content and demand of medical staff in plateau areas receiving emergency and critical care training. The content and demand of medical staff from different levels of hospitals receiving emergency and critical care training were further compared. Results A total of 45 questionnaires were distributed in this study, and a total of 43 valid questionnaires were collected, with an effective response rate of 95.6%. The average age of medical staff was (35.67±9.17) years old, with a male to female ratio of 1∶1.5. The proportion of tertiary, secondary, and lower level hospitals to which medical staff belong were 23.3%, 27.9%, and 48.8%, respectively. The number and proportion of medical staff receiving training on chest pain, heart failure, stroke, gastrointestinal bleeding, respiratory failure, metabolic crisis, and sepsis diseases were 25 (58.1%), 25 (58.1%), 24 (55.8%), 23 (53.5%), 20 (46.5%), 14 (32.6%), and 12 (27.9%), respectively. The number and proportion of medical staff who believed that training in the heart failure, respiratory failure, metabolic diseases, stroke, gastrointestinal bleeding, chest pain, and sepsis needed to be strengthened were 38 (88.4%), 36 (83.7%), 35 (81.4%), 34 (79.1%), 34 (79.1%), 33 (76.7%), and 29 (67.4%), respectively. Thirteen medical staff (30.2%) hoped to acquire knowledge and skills through teaching. There were no statistically significant differences in gender, age, job type, professional title, and department type among medical staff from tertiary, secondary, and lower level hospitals participating in the survey (P>0.05). The proportion of medical staff in hospitals below secondary receiving training on chest pain was lower than that in second level hospitals (38.1% vs. 91.7%). The proportion of medical staff in hospitals below secondary receiving training on heart failure was lower than that in secondary and tertiary hospitals (38.1% vs. 75.0% vs. 80.0%). The proportion of medical staff in hospitals below secondary receiving training on respiratory failure was lower than that in tertiary hospitals (28.6% vs. 80.0%). The demand for sepsis training among medical staff in hospitals below secondary was higher than that in tertiary hospitals (85.7% vs. 30.0%). There was no statistically significant difference in the other training contents and demands (P>0.05). Conclusion The content of critical care training for medical staff in plateau areas cannot meet their demands, especially for medical staff in hospitals below secondary. In the future, it is necessary to strengthen training support, allocate advantageous resources to different levels of hospitals, expand the scope of training coverage, and enrich training methods to better improve the ability of medical personnel in plateau areas to diagnose and treat related diseases.