The Keap1-Nrf2 pathway has been shown to be an important defense mechanism against oxidative stress, which may be an effective therapeutic strategy for many diseases. The research progresses on Keap1-Nrf2 pathway in inflammatory diseases were mainly reviewed. The basic components and activation mechanism of Keap1-Nrf2 pathway were introduced. The relationship between Keap1-Nrf2 pathway and the crosstalk between NF-κB pathway and HO-1 pathway, the expression of inflammatory mediators and enzymes, and inflammatory bodies were expounded. Natural product-derived inhibitors, small molecule inhibitors targeting Keap1-Nrf2 pathway and their clinical progress were introduced, and the potential application value of Keap1-Nrf2 pathway in the treatment of inflammation was discussed.

AIM: To evaluate the application value of artificial intelligence-assisted systems in diagnosing diabetic retinopathy(DR)by Meta-analysis.METHODS: PubMed, Web of Science, Embase, Cochrane Library, CBM, CNKI, WanFang Data and VIP database were searched to collect relevant literature on the diagnostic value of artificial intelligence-assisted systems for DR from January 2019 to September 2024. The QUADAS-2 tool was used to evaluate the quality of the included studies, and Meta-analysis was performed using Stata 17.0 and Meta Disc 1.4 software.RESULTS: A total of 23 studies were included. The results of Meta-analysis showed that the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio were 0.92(95% CI: 0.89-0.94), 0.94(95% CI: 0.91-0.96), 15.6(95% CI: 10.6-22.9), 0.09(95% CI: 0.07, 0.12), 174(95% CI: 112-271), respectively, and the area under the ROC curve(AUC)was 0.97(95% CI: 0.96-0.98). Meta-regression and subgroup analyses indicated that the heterogeneity of the studies originated from study type, patient type, patient source, and AI algorithm type. Deeks' funnel plot test suggested no significant publication bias(P=0.15), indicating that the results were robust.CONCLUSION: The artificial intelligence-assisted system demonstrates high diagnostic value for DR, and can be widely implemented in the early screening and diagnosis of DR.

OBJECTIVE: To develop a method for identifying high-risk patients among septic populations requiring mechanical ventilation, and to conduct phenotypic analysis based on this method. METHODS: Data from four sources were utilized: the Medical Information Mart for Intensive Care (MIMIC-IV 2.0, MIMIC-III 1.4), the Philips eICU-Collaborative Research Database 2.0 (eICU-CRD 2.0), and the Anhui Medical University Second Affiliated Hospital dataset. The adult patients in intensive care unit (ICU) who met Sepsis-3 and received invasive mechanical ventilation (IMV) on the first day of first admission were enrolled. The MIMIC-IV dataset with the highest data integrity was divided into a training set and a test set at a 6:1 ratio, while the remaining datasets were served as validation sets. The demographic information, comorbidities, laboratory indicators, commonly used ICU scores, and treatment measures of patients were extracted. Clinical data collected within first day of ICU admission were used to calculate the sequential organ failure assessment (SOFA) score. K-means clustering was applied to cluster SOFA score components, and the sum of squared errors (SSE) and Davies-Bouldin index (DBI) were used to determine the optimal number of disease subtypes. For clustering results, normalized methods were employed to compare baseline characteristics by visualization, and Kaplan-Meier curves were used to analyze clinical outcomes across phenotypes. RESULTS: This study enrolled patients from MIMIC-IV dataset (n = 11 166), MIMIC-III dataset (n = 4 821), eICU-CRD dataset (n = 6 624), and a local dataset (n = 110), with the four datasets showing similar median ages and male proportions exceeding 50%; using 85% of the MIMIC-IV dataset as the training set, 15% as the test set, and the rest dataset as the validation set. K-means clustering based on the six-item SOFA score was performed to determine the optimal number of clusters as 3, and patients were finally classified into three phenotypes. In the training set, compared with the patients with phenotype II and phenotype III, those with phenotype I had the more severe circulatory and respiratory dysfunction, a higher proportion of vasoactive drug usage, more obvious metabolic acidosis and hypoxia, and a higher incidence of congestive heart failure. The patients with phenotype II was dominated by respiratory dysfunction with higher visceral injury. The patients with phenotype III had relatively stable organ function. The above characteristics were consistent in both the test and validation sets. Analysis of infection-related indicators showed that the patients with phenotype I had the highest SOFA score within 7 days after ICU admission, initial decreases and later increases in platelet count (PLT), and higher counts of neutrophils, lymphocytes, and monocytes as compared with those with phenotype II and phenotype III, their blood cultures had a higher positivity rates for Gram-positive bacteria, Gram-negative bacteria and fungi as compared with those with phenotype II and phenotype III. The Kaplan-Meier curve indicated that in the training, test, and validation sets, the 28-day cumulative mortality of patients with phenotype I was significantly higher than that of patients with phenotypes II and phenotype III. CONCLUSIONS Three distinct phenotypes in septic patients receiving IMV based on unsupervised machine learning is derived, among which phenotype I, characterized by cardiorespiratory failure, can be used for the early identification of high-risk patients in this population. Moreover, this population is more prone to bloodstream infections, posing a high risk and having a poor prognosis.
Humans ; Machine Learning ; Sepsis/therapy* ; Respiration, Artificial ; Intensive Care Units ; Organ Dysfunction Scores ; Male ; Female ; Middle Aged ; Adult

Objective To analyze the influencing factors and prognosis of failed initial invasive mechani-cal ventilation weaning in extremely premature infants.Methods A retrospective analysis was conducted on the clinical data of 143 extremely premature infants who were delivered at Jiangxi Maternal and Child Health Hospital and treated in the neonatal intensive care unit(NICU)from July 2021 to June 2024 and received in-vasive mechanical ventilation within 72 hours after birth.According to whether re-intubation was required within 72 hours after the initial weaning,they were divided into the successful weaning group(n=110)and the failed weaning group(n=33).Stepwise logistic regression was used to analyze the influencing factors and prognosis of failed initial invasive mechanical ventilation weaning.Results There were statistically significant differences between the two groups with different gestational ages at birth,birth weights,tracheal intubation in the delivery room or operating room,abnormal C reactive protein at admission,fraction of inspiration O2(FiO2)at admission,gestational age before weaning from the ventilator,weight before weaning from the vent-ilator,patent ductus arteriosus(PDA,≥2.5 mm),proportion of≥3 tracheal intubation times,invasive me-chanical ventilation time,oxygen supply time,and hospitalization expenses(P<0.05).The results of multiva-riate logistic regression analysis showed that gestational age at birth,abnormal C reactive protein at admis-sion,FiO2 at admission,gestational age before weaning from the ventilator,PDA(≥2.5 mm),duration of in-vasive mechanical ventilation,pulmonary hemorrhage,feeding intolerance,time to total enteral feeding,shock,and length of hospital stay were independent influencing factors for failed initial invasive mechanical ventila-tion weaning(P<0.05).Conclusion Early prevention and early treatment of risk factors are the keys to the successful weaning of extremely premature infants.

To summarize the nursing experience of a patient who underwent an abandoned liver transplantation combined with associating liver partition and portal vein ligation for staged hepatectomy.The main points of nursing included the establishment of a multidisciplinary team before surgery to ensure the smooth progress of the surgery,intraoperative preservation of the abandoned liver and healthcare collaboration for precise portal vein pressure monitoring,postoperative implementation of capacity management for ensuring perfusion of abandoned liver,dynamic monitoring of abandoned liver hyperplasia and prevention of small liver syndrome,individualized immune management and prevention of acute rejection reactions,nutritional support and exercise rehabilitation,strengthening protection and isolation strategies to comprehensively reduce the risk of infection.After treatment and nursing,the patient was discharged on the 28th of surgery.

Objective:To analyze the wear rate of each monitoring module of monitoring device during the duration of wearing monitoring device in patients who received monitoring for vital sign,and research the application value of that in clinical treatment and its influence on patients'compliance.Methods:A total of 200 patients with emergency observation who need undergo monitoring for vital sign at Ningbo Medical Center Li Huili Hospital from July to December 2024 were selected.They were divided into a bedside monitoring group and a wearable monitoring group,with 100 patients in each group.The bedside monitoring group used conventional bedside monitoring devices for treatment and monitoring,while the wearable monitoring group used wearable monitoring devices for that.Boxplot was utilized to compare the wear rates of each module of the monitoring devices between the two groups,and to analyze patients'compliance.Results:The median of wear rates of the electrocardiogram(ECG)module and the blood oxygen module were respectively 0.991(0.975,0.999)and 0.928(0.876,0.979)in the wearable monitoring group,which were significantly higher than the 0.846(0.811,0.881)and 0.699(0.641,0.754)of the bedside monitoring group(Z=10.586,5.065,P<0.05).The wear rates of the monitoring devices for monitoring indicators such as heart rate,blood oxygen,perfusion index,respiratory frequency and pulse in the wearable monitoring group were also higher than those in the bedside monitoring group,with statistically significant differences(t=10.586,5.065,5.067,8.731,5.063,P<0.05).However,there was not significant difference in the wear rate of monitoring device for blood pressure between two groups(P>0.05).Conclusion:Wearable monitoring can effectively improve patients'wear rates,and enhance patients'compliance,and prolong monitoring time for patients,and improve treatment outcomes for patients,and ensure the life and health of patients.

Objective To observe the protective effects of Yiqi Jiedu Decoction on ionizing radiation-induced small intestinal functional injury in mice,and explore whether it alleviates such injury by inhibiting small intestinal ferroptosis,thereby providing scientific support for the discovery and development of intestinal radiation protection drugs in aerospace medicine.Methods A total of 378 male Balb/c mice were randomly divided into 7 groups:blank control group,model group,positive drug group,high-dose Yiqi Jiedu Decoction group,low-dose Yiqi Jiedu Decoction group,Liproxstatin-1 pre-irradiation administration group,and Liproxstatin-1 post-irradiation administration group,with 54 mice in each group.Each group was further divided into 3 batches,with 18 mice per batch.Seven days after preventive administration,all groups except the blank control group were subjected to a single whole-body irradiation with 2.0 Gy 60Co γ-rays.The general condition and morphological structure of the small intestine were observed at 1,3,and 7 days post-irradiation.The small intestinal charcoal propulsion rate,serum D-xylose content,and lactic acid content were measured,along with the levels of Fe,LPO,MDA,GSH,and SOD activity in the small intestine.Results Yiqi Jiedu Decoction could mitigate the decrease in body weight of mice after 2.0 Gy 60Co γ-ray irradiation,improve the morphological structure of the small intestine,reduce the small intestine charcoal propulsion rate,increase serum D-xylose levels,and decrease total serum lactate levels.It also alleviated mitochondrial shrinkage in the small intestine and reduced the contents of Fe and MDA in small intestine tissues.Conclusion Yiqi Jiedu Decoction may alleviate ionizing radiation-induced small intestinal functional injury by inhibiting ferroptosis in the small intestine,providing a new strategy for intestinal radiation injury in deep space exploration missions such as manned spaceflight.

Objective To explore the protective effect of miR-374c-5p on hydrogen peroxide(H2O2)-induced apoptosis of human umbilical vein endothelial cells(HUVECs).Methods HUVECs were cultured in vitro and the harvested cells were divided into four groups:control group,H2O2 group,H2O2+miR-374c-5p mimics trans-fection group,and H2O2+miR-374c-5p inhibitor transfection group.Cell activity was assessed by CCK-8 prolifer-ation rate assay,apoptosis was detected by TUNEL staining microscopy.Expression of miR-374c-5p and Fas mRNA by RT-qPCR,and Fas protein in HUVECs by was detected by Western blot.Results Proliferation of HUVECs was significantly inhibited(P＜0.001);H2O2 was significantly increased as compared with the H2O2 in-tervention group(P＜0.001);Proliferation in H2O2+miR-374c-5p inhibitor transfection group was significantly increased as compared to H2O2 intervention group(P＜0.001).Conclusions miR-374c-5p protectes the HUVECs against apoptosis induced by H2O2.

Objective:To compare the efficacy of low-dose febuxostat and low-dose benzbromarone in lowering serum uric acid and their impact on liver function in male patients with renal underexcretion gout.Methods:This prospective cohort study enrolled 303 patients with renal underexcretion gout and normal baseline liver function. Participants were assigned to either the low-dose febuxostat group(20 mg qd) or the low-dose benzbromarone group(25 mg qd). A linear mixed-effects model was used to compare the uric acid target achievement rate(<360 μmol/L) and changes in liver enzyme levels between the two groups.Results:At week 4, the proportion of patients achieving the serum uric acid target(<360 μmol/L) was significantly higher in the benzbromarone group than that in the febuxostat group(64.2% vs 42.3%, P<0.001), with a trend toward greater efficacy at weeks 8 and 12. The incidence of alanine aminotransferase(ALT) or aspartate aminotransferase(AST) elevation above the upper limit was significantly higher in the febuxostat group compared to the benzbromarone group(35.2% vs 13.85%, P<0.001). After adjusting for baseline liver enzyme levels in the mixed-effects model, mean ALT and AST levels remained significantly higher in the febuxostat group than those in the benzbromarone group at weeks 4, 8, and 12( P<0.05). In the febuxostat group, ALT and AST levels significantly increased over time during weeks 0-4 and 4-8 ( P<0.001), peaking at week 8 followed by a decreasing trend. By week 12, the levels were not significantly different from baseline ( P>0.05). Whereas there was no significant difference at each follow-up time point in the benzbromarone group( P>0.05). Conclusions:In male patients with renal underexcretion gout, low-dose benzbromarone demonstrated superior urate-lowering efficacy and better hepatic safety compared to low-dose febuxostat.

Objective:To analyze the risk factors for human cytomegalovirus (HCMV) infection in pediatric recipients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:Clinical data of children who underwent first allo-HSCT were retrospectively analyzed from March 2017 to November 2024. A total of 259 pediatric allo-HSCT recipients were analyzed through comparing HCMV infection group (n=115) and Non-HCMV infection group (n=144). Clinical characteristics were compared, and risk factors for HCMV infection were analyzed using univariate and multivariate logistic regression.Results:The result of univariate analysis showed that adrenoleukodystrophy (ALD), length of hospitalization, duration of antiviral therapy, and bacterial infection were significantly associated with HCMV infection in pediatric allo-HSCT recipients ( P<0.05). The result of multivariate analysis showed that ALD was an independent protective factor against HCMV infection of allo-HSCT recipients ( P<0.05) [OR=0.22, 95% CI: 0.06-0.86], while umbilical cord blood transplantation (UCBT) was an independent risk factor for HCMV infection in allo-HSCT recipients ( P<0.05) [OR=6.13, 95% CI: 1.34-28.04]. When the area under the ROC curve (AUC) for predicting post-transplant relapse based on HCMV viral load was 0.75 (95% CI: 0.55-0.94, P=0.014) and at the cutoff value of 3×10 3 copies/ml, the sensitivity and specificity for predicting relapse were 81.13% and 66.67%, respectively. Conclusions:HCMV infection in pediatric allo-HSCT recipients may lead to longer hospitalization and increased risk of relapse.