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find Author "ZHANG Lihui" 4 results
  • Prediction of risk factors and progress in diagnosis and treatment of acute respiratory distress syndrome

    Acute respiratory distress syndrome is caused by all kinds of damage factors of acute diffuse inflammatory lung injury, with respiratory distress and difficult to correct hypoxemia as the main performance of clinical syndrome, its pathogenesis is complex, pathological physiology change exists heterogeneity, and the case fatality rate is high, seriously endanger the patient’s life and health. By reviewing the relevant studies at home and abroad in recent years, this article reviews the research progress of risk factors, diagnosis and treatment of acute respiratory distress syndrome, in order to provide a basis and reference for clinical diagnosis and treatment and future exploration.

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  • Rrisk factors of acute respiratory distress syndrome in AIDS patients with severe pneumonia

    Objective To investigated the early risk factors of AIDS severe pneumonia complicated with acute respiratory distress syndrome in order to carry out early recognition and intervention of ARDS and improve the prognosis of patients. Methods The clinical data of 232 patients with severe AIDS pneumonia admitted to Chengdu Public Health Clinical Medical Center from January 2017 to December 2020 were retrospectively analyzed, including general data, vital signs, laboratory examination indexes, basic diseases, etc. Firstly influential indexes for complicated with ARDS were screened by single factor logistic regression analysis, then the multicollinearity assessment indicators were filtered out in multi-factor logistic stepwise regression analysis, finally the receiver operating characteristic (ROC) curves were drawn and the predictive value of the indicators were assessed. Results Thirty-three of 232 AIDS patients with severe pneumonia were complicated with ARDS. The mortality rate in ARDS group was 81.8%. The intra-group mortality of non-ARDS group was 33.7%. Single factor logistic regression analysis showed that pH, acute physiology and chronic health evaluation Ⅱ grade, sequential organ failure assessment grade, white blood cell count, lactate dehydrogenase, α-hydroxybutyric acid dehydrogenase (α-HBDH), alanine aminotransferase (ALT), aspartic acid aminotransferase (AST), calcium, fibrinogen degradation produc (FDP) and D-dimer, total 11 indicators were associated with the incidence of ARDS. The multicollinearity analysis of the 11 indicators showed that there was no multicollinearity problem among the other 9 indicators except the variance inflation factor of ALT and AST which was greater than 10. Multivariate logistic stepwise regression analysis showed α-HBDH (OR=1.001, 95% confidence interval 1.000 - 1.002, P=0.045) and D-dimer (OR=1.044, 95% confidence interval 1.006 - 1.083, P=0.024) were independent factors. ROC curve indicated the following: alpha hydroxy butyric acid dehydrogenase (the area under ROC curve=0.667, P=0.002, the optimal threshold was 391 U/L, the corresponding sensitivity and specificity was 78.8% and 61.8%, respectively), D-dimer (the area under ROC curve=0.602, P=0.062, the optimal threshold was 4.855 µg/mL, the corresponding sensitivity and specificity was 42.4% and 82.9%, respectively). Conclusion AIDS severe pneumonia complicated with ARDS is associated with many factors, among whichα-HBDH (≥391 U/L) and D-dimer (≥ 4.855 µg/mL) on admission are independent risk factors, which have great early predictive value and can provide reference for early clinical identification of ARDS high-risk patients.

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  • Epidemiological and clinical characteristics of 20 severe cases of coronavirus disease 2019 in Sichuan Province

    ObjectiveTo analyze the epidemiological and clinical characteristics of severe cases of coronavirus disease 2019 (COVID-19) in order to provide reference for clinical diagnosis and treatment.MethodThe epidemiological histories, clinical characteristics, laboratory examinations, chest images, and treatment outcomes of 20 confirmed cases of severe COVID-19 admitted to Public Health Clinical Center of Chengdu from January 16th to February 5th, 2020 were retrospectively analyzed.ResultsAmong the 20 patients with severe COVID-19, 12 were male and 8 were female. The age ranged from 34 to 84 years old, with an average of (57.4±16.5) years old. Thirteen patients (65.0%) had one or more co-existing diseases, such as hypertension (9 cases), diabetes (6 cases), and coronary atherosclerotic heart disease (4 cases). Eleven cases (55.0%) had a history of living or traveling in Wuhan, 4 cases (20.0%) had a history of living in non-Wuhan areas of Hubei Province, 3 cases (15.0%) had a history of contact with confirmed COVID-19 patients, while 2 cases had no above-mentioned epidemiological history, but had a history of traveling in non-epidemic areas. The main symptoms were fever (100.0%), cough (100.0%), shortness of breath (75.0%), and fatigue (65.0). Some patients developed into acute respiratory distress syndrome in 3-10 d after onset. The white blood cell count of the patients was normal or decreased, the hypersensitive C-reactive protein and serum amyloid protein significantly increased, while the CD4+ T lymphocyte count and CD56+ natural killer cell count significantly decreased. Sixteen patients (80.0%) were given transnasal hyperbaric oxygenation [among whom 6 patients (30.0%) were transferred to non-invasive ventilator after no improvement], 3 patients (15.0%) were given tracheal intubated ventilator, and 1 patient (5.0%) was treated by tracheal intubated ventilator combined with extracorporeal membrane oxygenation to support breathing. By April 8th, 2020, 3 patients died and the remaining 17 had been cured and discharged, with an average length of hospital stay of 21.4 d. The 3 death cases were all elderly with underlying diseases such as heart disease and pulmonary disease.ConclusionsSevere COVID-19 is associated with hypertension, diabetes, heart disease, and other basic diseases, and some patients develope acute respiratory distress syndrome. Respiratory support may help to improve prognosis.

    Release date:2020-05-26 02:34 Export PDF Favorites Scan
  • Interpretation and application of the quality assessment tool (QATSM-RWS) for real-world studies in systematic reviews and meta-analyses

    Focusing on research quality is a crucial aspect of modern evidence-based medical practice, providing substantial evidence to underpin clinical decision-making. The increase in real-world studies in recent years has presented challenges, with varying quality stemming from issues such as data integrity and researchers’ expertise levels. Although systematic reviews and meta-analyses are essential references for clinical decisions, their reliability is contingent upon the quality of the primary studies. Making clinical decisions based on inadequate research poses inherent risks. With the lack of a specialized tool for evaluating the quality of real-world studies within systematic reviews and meta-analyses, the Gebrye team has introduced a new assessment tool - QATSM-RWS. Comprising 5 modules and 14 items, this tool aims to improve real-world research evaluation. This article aims to elaborate on the tool’s development process and content, taking using this tool to evaluate a published real-world study as an example and providing valuable guidance for domestic researchers utilizing this innovative tool.

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