ObjectiveTo analyze the trend of disease burden changes in congenital birth defects in China from 1990 to 2019. MethodsUsing the global burden of disease study 2019 (GBD 2019), we analyzed the morbidity, mortality, and disability-adjusted life years (DALYs) of congenital birth defect diseases and their corresponding age-standardized rates and average annual percentage change (AAPC) to analyze the changes in the disease burden of congenital birth defects in China and compared them with global data from 1990 to 2019. ResultsIn 2019, the age-standardized incidence, mortality, and DALY in China were 147.41/100 000, 4.62/100 000, 480.95/100 000, respectively. Compared with 1990, the age-standardized incidence rate, age-standardized mortality rate, and age-standardized DALY rate increased by 12.08% and decreased by 70.38% and 66.82%, respectively. In recent years, although the age-standardized incidence of congenital birth defect disease in China is on the rise and higher than the global level, the disease burden is roughly on the decline and lower than the global level, which is closely related to earlier intervention and treatment of the disease resulting in a lower standardized mortality rate. ConclusionThe age-standardized mortality rate of children with congenital birth defects in China showed a decreasing trend from 1990 to 2019, and the burden of disease ranged from slightly higher than global to lower than global levels, but the age-standardized incidence rate was significantly higher, but the age-specific incidence rate has increased significantly.
ObjectivesTo systematically review the efficacy and safety of enteral nutrition (EN) for severe acute pancreatitis (SAP) patients within 48 hours after admission.MethodsPubMed, EMbase, The Cochrane Library, CBM, CNKI and WanFang Data databases were electronically searched to collect randomized controlled trials (RCTs) on early EN (starting within 48 hours after admission) in SAP from inception to October, 2018. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, then, meta-analysis was performed by using Stata 12.0 software.ResultsA total of 9 RCTs involving 1 074 patients were included. The results of meta-analysis showed that: compared to patients with EN after 48 hours or parental nutrition, the patients given EN within 48 hours after admission had lower mortality (RR=0.53, 95%CI 0.29 to 0.96, P=0.036) and morbidity of multiple organ dysfunction syndrome (MODS) (RR=0.58, 95%CI 0.44 to 0.77, P<0.001). However, no significant differences were found in systemic inflammatory response syndrome (SIRS) (RR=1.00, 95%CI 0.86 to 1.16, P=1.00).Conclusions The current evidence shows that EN within 48 hours after admission can reduce the mortality and morbidity of MODS in SAP patients. Due to limited quality and quantity of the included studies, more high-quality studies are needed to verify above conclusions.
Anemia and coagulopathy are frequently presented in critically ill patients on the intensive care unit. Scientific use of blood products assist the treatment of critically ill patients. However, life-threatening adverse effects are also a risk. In 2020, the European Society of Critical Care Medicine (ESICM) published a clinical practice guideline on transfusion strategies for non-bleeding critically ill adults in an attempt to resolve the transfusion strategy problems of relevant critically ill patients. This paper interprets the key contents in order to assist Chinese clinicians for better understanding and using of the guideline.
ObjectivesTo identify the clinical characteristics and prognosis for CRKP (Carbapenem-resistant Klebsiella pneumonia, CRKP) infection among ICU patients in the Second Affiliated Hospital of Anhui Medical University. MethodsWe conducted a retrospectively analysis in which 19 patients infected by CRKP with another 21 CSKP (Carbapenem-sensitive Klebsiella pneumoniae, CSKP) infected patients from January 2017 to April 2018. Risk factors for CRKP infection were assessed. ResultsThe lower respiratory tract is the most common site of CRKP infection in our department. CRKP infection was associated with several clinical symptoms, particularly a higher incidence of sepsis shock (χ2=8.338, P=0.004), more application of the combined medicine (χ2=26.3, P<0.001), prolonged hospital stays (χ2=–2.217, P=0.027) and more expenses on antibiotics (χ2=12.855, P=0.005), and the declined survival rates in 14 days (χ2=4.269, P=0.039) and 21 days (χ2 =5.647, P=0.017). The resistance rate of CRKP strains was high, however no resistance to tegafycline was found. The risk factors of CRKP infection included three generations of cephalosporin and/or hydrocarbonase antibiotics exposure (χ2 =6.388, P=0.041), exposure time of three generations of cephalosporin (U=–2.187, P=0.029), exposure time of hydrocarbonase antibiotics (U=–2.103, P=0.035), tracheal intubation (χ2=6.352, P=0.012), tracheotomy (χ2 =4.821, P=0.028), SOFA score (t=4.505, P<0.001) and Charlson comorbidity index (t=3.041, P=0.004). The SOFA score was the only factor independently associated with CRKP bacteremia (P=0.02). ConclusionsCRKP infections in ICU directly affect the course of disease, survival time and treatment expenses of patients. Therefore, monitoring bacterial resistance, rational use of antibiotics, and protection of the immune function are of great significance for prevention and treatment of CRKP infection.
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.
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.