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find Author "LU Zongqing" 5 results
  • Translation and interpretation of the European guideline on management of major bleeding and coagulopathy following trauma (the fifth edition)

    Severe trauma is a challenging medical problem. Uncontrolled post-traumatic hemorrhage and traumatic coagulation dysfunction are closely related to the prognosis of these patients. In May 2019, the pan-European, multidisciplinary Task Force for Advanced Bleeding Care in Trauma published the fifth edition of the European guideline on management of major bleeding and coagulopathy following trauma. To assist Chinese in better understanding of the latest developments, this paper translated the main treatment recommendations in the guideline and interpreted the updated content from the fourth edition.

    Release date:2019-11-19 10:03 Export PDF Favorites Scan
  • Vasopressin and its analogues in severe adult patients with distributed shock: an interpretation of clinical practice guidelines

    The hemodynamic management of adult patients with distributed shock often includes the use of catecholamines vasoconstrictor drugs. It was unclear whether adding vasopressin or vasopressin analogs to catecholamine therapy was beneficial for the treatment of patients with distributed shock. The Canadian Society of Intensive Care recently updated its clinical practice guideline to provide recommendations for the addition of vasopressin to catecholamine boosters in adults with distributed shock. This paper interprets it to assist domestic doctors for better understanding of the latest progress.

    Release date:2020-09-21 04:26 Export PDF Favorites Scan
  • Analysis of the disease burden of pancreatitis in China from 1990 to 2019

    ObjectiveThis study aimed to analyze the disease burden of pancreatitis in China from 1990 to 2019 and to provide references for the prevention and treatment of pancreatitis. MethodsThe data were obtained from the Global Burden of Disease Study 2019 (GBD 2019). The incidence, mortality, disability-adjusted life years (DALYs), years of life lost (YLLs), years lived with disability (YLDs) and their corresponding age-standardized rate, and annual average percentage change (AAPC) were selected as the main indicators to compare the burden of pancreatitis in China, the United States and globally from 1990 to 2019. ResultsIn 2019, the age-standardized incidence, mortality, DALY, YLL, and YLD rates in China were 26.76/100 000, 0.59/100 000, 16.09/100 000, 14.61/100 000, and 1.48/100 000, respectively, and decreased by 8.94%, 45.33%, 49.12%, 50.98%, and 18.49%, respectively, compared with those in 1990. The burden of pancreatitis in China gradually increased with age, but was lower than that in the United States and globally. The DALY due to alcohol continually increased in China, the United States, and globally. ConclusionFrom 1990 to 2019, the burden of pancreatitis in China shows a decreasing trend and is lower than that in the United States and globally. However, the disease burden caused by alcohol and aging is increasing; therefore, effective measurements to alleviate the burden of pancreatitis in China are needed.

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  • Efficacy of intravascular cooling versus surface cooling on the prognosis of patients with cardiac arrest: a meta-analysis

    ObjectiveTo systematically review the efficacy and safety of intravascular cooling versus surface cooling for induced mild hypothermia on the prognosis of patients with cardiac arrest (CA) after resuscitation.MethodsPubMed, EMbase, The Cochrane Library, CNKI and WanFang Data databases were electronically searched to collect cohort studies and randomized controlled trials (RCTs) about the efficacy and safety of intravascular cooling versus surface cooling for CA patients after resuscitation from inception to July 2019. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, then, meta-analysis was performed by using Stata 13.0 software.ResultsA total of 9 cohort studies and 3 RCTs involving 2 104 patients were included. The results of meta-analysis showed that: the rate of good neurological function was significantly higher (OR=1.45, 95%CI 1.18 to 1.78, P<0.001) and the induction time was significantly shorter (SMD=−1.35, 95%CI −2.34 to −0.36, P=0.008) in the intravascular cooling group, but there was no statistical difference in mortality between two groups (OR=0.84, 95%CI 0.70 to 1.00, P=0.053). In terms of complications related to mild hypothermia, the rate of excessive hypothermia (OR=0.27, 95%CI 0.18 to 0.41, P<0.001) and arrhythmia (OR=0.60, 95%CI 0.40 to 0.89, P=0.012) was significantly lower in the patients treated with intravascular cooling, but the incidence of coagulopathy was higher (OR=1.61, 95%CI 1.05 to 2.49, P=0.03). There was no statistical difference in the incidence of pneumonia between two groups (OR=1.20, 95%CI 0.94 to 1.53, P=0.147).ConclusionCurrent evidence shows that intravascular cooling has significant neurological protection for patients with CA compared with surface cooling since it can decrease the induction time and the rate of excessive hypothermia and arrhythmia, but it may have a negative effect on the coagulation function. Due to the limited quality and quantity of the included studies, more high-quality studies are needed to verify the above conclusion.

    Release date:2020-03-13 01:50 Export PDF Favorites Scan
  • Machine learning for early warning of cardiac arrest: a systematic review

    ObjectiveTo systematically review the early clinical prediction value of machine learning (ML) for cardiac arrest (CA).MethodsPubMed, EMbase, WanFang Data and CNKI databases were electronically searched to retrieve all ML studies on predicting CA from January 2015 to February 2021. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. The value of each model was evaluated based on the area under receiver operating characteristic curve (AUC) and accuracy.ResultsA total of 38 studies were included. In terms of data sources, 13 studies were based on public database, and other studies retrospectively collected clinical data, in which 21 directly predicted CA, 3 predicted CA-related arrhythmias, and 9 predicted sudden cardiac death. A total of 51 models had been adopted, among which the most popular ML methods included artificial neural network (n=11), followed by random forest (n=9) and support vector machine (n=5). The most frequently used input feature was electrocardiogram parameters (n=20), followed by age (n=12) and heart rate variability (n=10). Six studies compared the ML models with other traditional statistical models and the results showed that the AUC value of ML was generally higher than that in traditional statistical models.ConclusionsThe available evidence suggests that ML can accurately predict the occurrence of CA, and the performance is significantly superior to traditional statistical model in certain cases.

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