Lung cancer accounts for the highest proportion of cancer deaths in the world and poses a great threat to human health.About 30％to 40％of non-small cell lung cancer(NSCLC)is caused by point mutations,exon insertion and exon deletion of the epidermal growth factor receptor(EGFR).In addition to the common exon 19 deletion mutation and exon 21 L858R mutation,exon 18 G719X mutation,exon 21 L861Qmutation and exon 20 S768I mutation are the most important rare mutations.At present,the diagnostic methods for major rare mutations are mainly next-generation sequenc-ing(NGS),digital polymerase chain reaction(dPCR),droplet digital PCR(ddPCR),etc.Regarding the targeted therapy of G719X/L861Q/S768I mutant NSCLC,the first generation EGFR-tyrosine kinase inhibitors(TKIs)have poor efficacy,while the second and third generation EGFR-TKIs have similar efficacy.The novel third generation EGFR-TKIs and combina-tion therapy show a good therapeutic prospect.This article summarized the progress in the diagnosis and targeted therapy of G719X/L861Q/S768I mutant NSCLC,so as to provide reference for subsequent clinical drug use and research.

Hemorrhagic shock (HS) is one of the leading causes of death among young adults worldwide. Multiple organ dysfunction in HS is caused by an imbalance between tissue oxygen supply and demand, which is closely related to the poor prognosis of patient. Mitochondrial dysfunction is one of the key mechanisms contributing to multiple organ dysfunction in HS, while mitochondrial quality control regulates mitochondrial function through a series of processes, including mitochondrial biogenesis, mitochondrial dynamics, mitophagy, mitochondrial-derived vesicles, and mitochondrial protein homeostasis. Modulating mitochondrial quality control can improve organ dysfunction. This review aims to summarize the effects of mitochondrial dysfunction on organ function in HS and discuss the potential mechanisms of mitochondrial quality control, providing insights into the injury mechanisms underlying HS and guiding clinical management.

Objective To systematically evaluate the efficacy and safety of ciprofol for sedation and anesthesia outside the operating room.Methods Databases such as PubMed,Embase,Cochrane Library,Web of Science,CNKI,Wanfang Data,CBM,and VIP were searched for randomized controlled trials(RCTs)related to the efficacy and safety of ciprofol for sedation and anesthesia outside the operating room.The search covered all publications up to June 2023.Statistical analysis was performed using RevMan 5.4 software and Stata 15.0.Results Twelve RCTs were included,involving 2 192 patients,of which 1 154 were in the ciprofol group and 1 038 in the propofol group.Compared with the propofol group,the anesthesia induction time(MD=0.28 min,95％CI 0.08-0.47 min,P=0.006)and recovery time(MD=1.16 min,95％CI 0.44-1.87 min,P=0.001)were significantly longer in the ciprofol group,and the inci-dences of injection pain(OR=0.04,95％CI 0.02-0.06,P＜0.001),hypotension(OR=0.64,95％CI 0.49-0.83,P=0.0008),hypoxemia(OR=0.44,95％CI 0.21-0.91,P=0.03),and respirato-ry depression(OR=0.19,95％CI 0.11-0.32,P＜0.001)were significantly lower.There were no sta-tistically significant differences between the two groups in terms of sedation success rate,physician satisfac-tion,the difference in heart rate before and after anesthesia induction,incidence of body movement,brady-cardia,nausea and vomiting,and dizziness.Conclusion The anesthetic effect of cyclopofol and propofol is similar when used for anesthesia outside the operating room.Compared to propofol,ciprofol offers comparable anesthetic effects for sedation and anesthesia outside the operating room,with a lesser impact on respiratory function and more stable hemodynamics.Ciprofol also significantly lowers the incidence of adverse reactions such as injection pain,hypotension,hypoxemia,and respiratory depression.

The coronavirus disease 2019 (COVID-19) pandemic has stimulated tremendous efforts to develop therapeutic agents that target severe acute respiratory syndrome coronavirus 2 to control viral infection. So far, a few small-molecule antiviral drugs, including nirmatrelvir-ritonavir (Paxlovid), remdesivir, and molnupiravir have been marketed for the treatment of COVID-19. Nirmatrelvir-ritonavir has been recommended by the World Health Organization as an early treatment for outpatients with mild-to-moderate COVID-19. However, the existing treatment options have limitations, and effective treatment strategies that are cost-effective and convenient for tackling COVID-19 are still needed. To date, four domestically developed oral anti-COVID-19 drugs have been granted conditional market approval in China. These drugs include azvudine, simnotrelvir-ritonavir (Xiannuoxin), leritrelvir, and mindeudesivir (VV116). Preclinical and clinical studies have explored the efficacy and tolerability of mindeudesivir and supported its early use in mild-to-moderate COVID-19 cases at high risk for progression. In this review, we discuss the most recent findings regarding the pharmacological mechanism and therapeutic effects focusing on mindeudesivir and other small-molecule antiviral agents for COVID-19. These findings will expand our understanding and highlight the potential widespread application of China's homegrown anti-COVID-19 drugs.
Humans ; Ritonavir/therapeutic use* ; COVID-19 ; Antiviral Agents/therapeutic use* ; China ; Nitriles ; Lactams ; Proline ; Adenosine/analogs & derivatives* ; Leucine

Objective:To investigate the status of disaster preparedness of pediatric nurses and its influencing factors, as well as the impact path of psychological capital and perceived organizational support on disaster preparedness.Methods:This was a cross-sectional study. A total of 361 pediatric nurses from Henan Provincial People ′s Hospital, the Third Affiliated Hospital of Zhengzhou University, Fuwai Central China Cardiovascular Hospital were sampled from August to October 2021. They were investigated by the general information questionnaire, psychological capital questionnaire, perceived organizational support questionnaire and disaster preparedness questionnaire. SPSS25.0 was used to analyze the questionnaire and scale data, and AMOS23.0 was used to construct a structural equation model about the disaster preparedness of pediatric nurses. Results:The scores of disaster preparedness from pediatric nurses was 4.65 ± 0.92. The level of disaster preparedness was significantly positively correlated with psychological capital and perceived organizational support ( r=0.690, 0.525, both P<0.05). Disaster training and emergency drill 2 dimensions of psychological capital questionnaire (hope, resilience), perceived organizational support were independent contributing factors ( P<0.05). Psychological capital had direct effect on disaster preparedness. And the direct effect was 0.77, the indirect effect was 0.11, the total effect was 0.88, and the direct effect of perceived organizational support on disaster preparedness was 0.21. Conclusions:The score of disaster preparedness of pediatric nurses was in the middle level. Hospital managers should strengthen the training of pediatric nurses in disaster knowledge, operational and simulation exercise, pay attention to the level of nurses' psychological capital and perceived organizational support, so as to provide reference for the follow-up clinical pediatric disaster nursing education and management.

Hemorrhagic shock, a life-threatening organ hypoperfusion caused by rapid, massive blood loss, is the leading cause of traumatic death in peacetime and wartime. The vascular endothelial glycocalyx (vEG) plays an important role in maintaining microcirculatory homeostasis. Severe ischemia and hypoxia of hemorrhagic shock can damage the vEG, leading to endothelial dysfunction and exacerbated microcirculatory and organ impairments. Therefore, early prevention and treatment of vEG damage in hemorrhagic shock can improve microcirculation dysfunction, which is of paramount importance for therapeutic efficacies and outcomes. There have been many studies on the prevention and treatment of vEG damage in hemorrhagic shock, but none is based on the management of vEG damage. The authors reviewed the progress on the mechanism and preventive and therapeutic strategies of vEG damage caused by hemorrhagic shock, hoping to provide reference for the further research of hemorrhagic shock-induced vEG damage.

Background: and Purpose We investigated the causal relationships between the gut microbiota (GM), stroke, and potential metabolite mediators using Mendelian randomization (MR). Methods: We leveraged the summary statistics of GM (n=18,340 in the MiBioGen consortium), blood metabolites (n=115,078 in the UK Biobank), and stroke (cases n=60,176 and controls n=1,310,725 in the Global Biobank Meta-Analysis Initiative) from the largest genome-wide association studies to date. We performed bidirectional MR analyses to explore the causal relationships between the GM and stroke, and two mediation analyses, two-step MR and multivariable MR, to discover potential mediating metabolites. Results: Ten taxa were causally associated with stroke, and stroke led to changes in 27 taxa. In the two-step MR, Bifidobacteriales order, Bifidobacteriaceae family, Desulfovibrio genus, apolipoprotein A1 (ApoA1), phospholipids in high-density lipoprotein (HDL_PL), and the ratio of apolipoprotein B to ApoA1 (ApoB/ApoA1) were causally associated with stroke (all P<0.044). The causal associations between Bifidobacteriales order, Bifidobacteriaceae family and stroke were validated using the weighted median method in an independent cohort. The three GM taxa were all positively associated with ApoA1 and HDL_PL, whereas Desulfovibrio genus was negatively associated with ApoB/ApoA1 (all P<0.010). Additionally, the causal associations between the three GM taxa and ApoA1 remained significant after correcting for the false discovery rate (all q-values <0.027). Multivariable MR showed that the associations between Bifidobacteriales order, Bifidobacteriaceae family and stroke were mediated by ApoA1 and HDL_PL, each accounting for 6.5% (P=0.028) and 4.6% (P=0.033); the association between Desulfovibrio genus and stroke was mediated by ApoA1, HDL_PL, and ApoB/ApoA1, with mediated proportions of 7.6% (P=0.019), 4.2% (P=0.035), and 9.1% (P=0.013), respectively. Conclusion The current MR study provides evidence supporting the causal relationships between several specific GM taxa and stroke and potential mediating metabolites.

Beh?et′s syndrome is a kind of chronic systemic vasculitis with involvement of multiple organs. Intestinal involvement of Beh?et′s syndrome is presently named as intestinal Beh?et′s syndrome. Recently, there is considering another kind of disease type with only typical intestinal ulcers. Since it is difficult to differentiate intestinal Beh?et′s syndrome from Crohn′s disease, intestinal tuberculosis, intestinal lymphoma, and intestinal manifestations of many other autoimmune diseases, and there is limited evidence for the therapy of intestinal Beh?et′s syndrome, proposing diagnosis and treatment recommendations for intestinal Beh?et′s syndrome through evidence-based judgment will be of great significance for clinical practice.

Objective:To investigate the application value of establishing the differential diagnosis model of pulmonary tuberculosis using routine laboratory data.Methods:The retrospective study was conducted. The routine laboratory data of newly diagnosed patients with pulmonary tuberculosis and other pulmonary diseases in Beijng Jishuitan Hospital and Beijing Hepingli Hospital from May 2015 to November 2021were collected. According to the random numbers showed in the computer, all the 11516 patients were divided into training dataset and test dataset with a ratio of 9∶1. Four machine learning algorithms, Support Vector Machine, Random Forest, K-Nearest Neighbor and Logistic Regression, were used to build models and select features. The diagnostic accuracy of each model was verified by using the 10-fold cross-validation method and the performance of each model was evaluated by using the receptor operator of characteristic (ROC) curve.Results:Random Forest was selected as the optimal machine learning algorithm to build the best feature model in the study. According to importance scale of factors, the differential diagnosis model of pulmonary tuberculosis consisting of 37 non-specific test indexes. In the validation set and test set the accuracy and area under curve (AUC) of the models were 0.747 and 0.736, the sensitivity, specificity and accuracy were 68.03% and 68.75%, 70.91% and 67.90%, 70.30% and 68.12%, respectively.Conclusion:A key tool in the differential diagnosis model of pulmonary tuberculosis was established by routine laboratory data in combination with machine learning. The results of this study need to be further verified by more data from medical institutions.

Objective:To establish and evaluate a new real-time quality control method that can identify the random errors by using the backpropagation neural network (BPNN) algorithm and taking blood glucose test as an example.Methods:A total of 219 000 blood glucose results measured by Siemens advia 2 400 analytical system from January 2019 to July 2020 and derived from Laboratory Information System of Beijing Chaoyang Hospital Laboratory Department was regarded as the unbiased data of our study. Six deviations with different sizes were introduced to generate the corresponding biased data. With each biased data, BPNN and MovSD algorithms were used and tested, and then evaluated by traceability method and clinical method.Results:For BPNN algorithm, the block size was pre-set to 10 and the false-positive rate in all biases was within 0.1%. For MovSD, however, the optimal block size and exclusive limit were 150 and 10% separately and its false-positive rate in all biases was 0.38%, which was 0.28% higher than BPNN. Especially, for the least two error factors of 0.5 and 1, all the random errors were not detected by MovSD; for the error factor larger than 1, random errors could be detected by MovSD but the MNPed was higher than that of BPNN under all deviations. The difference was up to 91.67 times. 460 000 reference data were produced by traceability procedure. The uncertainty of BPNN algorithm evaluated by these reference data was only 0.078%.Conclusion:A real-time quality control method based on BPNN algorithm was successfully established to identify random errors in analytical phase, which was more efficient than MovSD method and provided a new idea and method for the identification of random errors in clinical practice.