Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

Hepatic encephalopathy is a clinical syndrome of central nervous system dysfunction caused by liver insufficiency.It severely affects the quality of life of patients and may lead to death.Accurate prediction of the risk of developing hepatic encephalopathy is crucial for early intervention and treatment.In order to identify the risk of hepatic encephalopathy in patients in advance,many studies have been devoted to efforts to develop tools and methods to identify the risk of hepatic encephalopathy as early as possible,so as to develop preventive and early management strategies.Most conventional hepatic encephalopathy risk prediction models currently assess the prob-ability of a patient developing hepatic encephalopathy by analysing factors such as clinical data and biochemical indicators,however,their accuracy,sensitivity and positive predictive value are not high.The application of artificial intelligence to clinical predictive modelling is a very hot and promising area,which can use large amounts of data and complex algorithms to improve the accuracy and efficiency of diagnosis and prognosis.To date,there have been few studies using AI techniques to predict hepatic encephalopathy.Therefore,this paper reviews the research progress of hepatic encephalopathy risk prediction models,and also discusses the prospect of AI application in hepatic encephalopathy risk prediction models.It also points out the challenges and future research directions of AI in HE risk prediction model research in order to promote the development and clinical application of hepatic encephalopathy risk prediction models.

Objective To investigate the effects of nalbuphine combined with dexmedetomidine on postop-erative recovery quality and pain in patients who undergoing laparoscopic bariatric surgery.Methods A total of 169 patients who underwent laparoscopic bariatric surgery at our hospital were included and divided into control group(group C),nalbuphine group(group N),dexmedetomidine group(group D),and nalbuphine combined with dexme-detomidine group(group ND)using randomised numerical table method.Group C received intravenous injection of saline,group N and group ND received intravenous injection of nalbuphine before the end of the surgery,and group D and group ND received pumping of dexmedetomidine before anesthesia induction and during surgery.Compare the postoperative recovery quality score(QoR-40),hemodynamics at different time points,visual analogue scale score(VAS),sedation-agitation scale(SAS),first time out of bed activity and exhaust time,and incidence of nausea and vomiting among four groups.Results The postoperative QoR-40 scores of patients in group ND were better than those in group C and group N(P<0.05),and the QoR-40 scores in group D were better than those in group C(P<0.05).MAP and HR were more stable during the awakening period in group ND and group D(P<0.05).Compared with group C,patients in all three groups had lower VAS scores and SAS scores(P<0.05)and consumed less remedial analgesic medication(P<0.05).In terms of adverse reactions,the incidence of postoperative nausea,vomiting and coughing in the group ND was lower than that in the group C(P<0.05).Conclusion The combination of nalbuphine and dexmedetomidine could improve the quality of postoperative recovery and pain in patients under-going laparoscopic bariatric surgery,reduce hemodynamic fluctuations during the patients′ recovery period,reduce the incidence of nausea and vomiting,and improve the patients′ prognosis.

SWOT analysis is used to identify the strengths and external opportunities of scientific research management in hospitals.It facilitates the establishment of a systematic and rational approach to scientific research project management,help-ing hospitals to mitigate internal weaknesses and address external threats.This article chooses Y Hospital to carry out a case stud-y.SWOT analysis was done to investigate the hospital's strengths,weaknesses,opportunities,and threats.Based on the analysis results,it proposes targeted management strategies of"SO,""WO,""ST,"and"WT".After the use of the strategies in the management,the number of funded scientific research projects,published papers,registered invention patents,and achievements transferred from the scientific research remarkably increases,driving the improvement of research quality.

Objective:To explore the clinical phenotypic features and genetic variation characteristics of children with epilepsy-aphasia spectrum due to GRIN2A gene variants confirmed by second-generation sequencing. Methods:The clinical data of 5 children with epilepsy-aphasia spectrum with epileptic onset diagnosed in the Department of Neurology, Children′s Hospital Affiliated to Zhengzhou University, from February 2019 to November 2022 were retrospectively analyzed. Whole-exome genome sequencing of the probands using a second-generation sequencing method confirmed that all 5 cases were children with the GRIN2A gene variant. The characteristics of the GRIN2A gene variants were analyzed. Results:Among the 5 children diagnosed with epileptic aphasia spectrum due to GRIN2A gene variants, the male-to-female ratio was 4∶1, and the age range of onset was 1.5-4.4 years. The clinical phenotype included seizures in all cases, language and intellectual developmental deficits in 4 cases, and attention deficit hyperactivity disorder in 3 cases. The seizures were manifested as focal seizures or secondary generalized seizures, and were effectively controlled with antiepileptic drugs. Among the 5 children, gene variant of case 1 was originated from a paternal heterozygous variant, and cases 2-5 had de novo variants, which were c.2107C>T (p.Gln703 *) nonsense variant, c.2284G>A (p.Gly762Arg) missense variant, c.2197del (p.Ala733Glnfs *3) shifted coding variant, c.2511G>A (p.Trp837 *) nonsense variant, and c.1651+1G>C shear site variant, respectively. None of the 5 loci were reported in the literature. Conclusions:Epilepsy-aphasia spectrum is an epilepsy syndrome with a complex onset, and may have different phenotypes at different genetic variant loci, with focal seizures or secondary generalized seizures, which can be effectively controlled with anti-seizure medication. The GRIN2A gene variant is the genetic etiology of the epileptic aphasia spectrum.

Objective:To summarize the clinical phenotype and genetic characteristics of children with neurodegeneration caused by UBTF gene mutations in childhood. Methods:The clinical and genetic data of 3 children with neurodegeneration in childhood diagnosed in the Department of Neurology, Children′s Hospital Affiliated to Zhengzhou University from February 2020 to January 2023 were retrospectively analyzed. All the 3 probands were found having UBTF gene mutations through the whole exome gene sequencing, and the first generation Sanger sequencing method was used to verify the UBTF gene in their family members. The variation characteristics of the UBTF gene were analyzed, and the treatment and follow-up results of the 3 children were summarized. Results:Among the 3 children with childhood onset neurodegeneration, 2 were male and 1 female, aged 9 months, 4 years and 6 months after birth, respectively. The clinical phenotypes mainly included motor retardation, speech and mental retardation, and dystonia. Among them, case 1 and case 2 had seizures, case 1 had dysphagia, feeding problems, no weight gain and ataxia. Brain MRI plain scan showed that case 1 and case 2 had different degrees of cerebral atrophy, case 1 had hypoplasia of corpus callosum, ventricle expansion and softening focus, and case 3 showed non-specific widening of the subarachnoid space. There were no abnormalities in the chromosome copy number variation and mitochondrial ring gene testing in the 3 children; the whole exon gene testing suggested the de novo missense variant in the UBTF gene [NM_014233.4: c.1414(exon14) G>A (p.Gly472Ser), c.1392(exon14)G>T(p.Lys464Asn)] and the maternal nonsense variant [NM_014233.4:c.520C>T(p.Arg174 *)], which were unreported site variants. In terms of treatment, the 3 children received comprehensive rehabilitation function training, and achieved a certain degree of language and intelligence improvement. Seizure control was effectively managed in case 1 with a single antiepileptic drug. Epileptic seizures were effectively treated and controlled in case 2 using more than 4 types of antiepileptic drugs. Conclusions:Neurodegenerative changes caused by UBTF gene mutations in childhood are relatively rare, and some cases may be accompanied with brain atrophy. De novo missense variation and maternal nonsense variation of the UBTF gene are the genetic etiology of the 3 probands.

Objective:To explore the risk factors for malnutrition after a tracheotomy and to construct a predictive model useful for its prevention through early intervention.Methods:Clinical data describing 440 tracheotomy patients were subjected to a retrospective analysis. The variables examined were age, sex, etiology, Glasgow Coma Score (GCS), activities of daily living (ADL) score, age-corrected Charlson comorbidity index (aCCI), food intake, swallowing function, incidence of infections, as well as any history of diabetes mellitus, hypertension, smoking or alcohol consumption. Patients identified as being at risk of malnutrition (NRS-2002≥3) were screened using the Nutritional Risk Screening tool (NRS-2002) and the European Society of Clinical Nutrition and Metabolism′s ESPEN2015 criteria. The subjects were thus categorized into a malnutrition group of 343 and a control group of 97. Unifactorial and multifactorial logistic regression analyses were performed, and stepwise regression was applied to include the factors found significant in the unifactorial analysis into the multifactorial logistic regression analysis, and to construct a column-line graph prediction model. The clinical utility of the model was assessed by applying the receiver operator characteristics (ROC) curves, calibration plots and decision curve analysis (DCA).Results:Of the 440 persons studied, 343 (78%) were malnourished. The multivariate logistic regression analysis showed that pulmonary infection, dysphagia, low GCS score and high aCCI score were significant risk factors for malnutrition after a tracheotomy. A prediction nomograph was constructed. After fitting and correcting, the area under the curve (AUC) of the prediction model′s ROC curve was 0.911, the specificity was 80.4%, and the sensitivity was 91.3%. That was significantly higher than the AUCs for pulmonary infection (0.809), dysphagia (0.697), aCCI (0.721) and GCS (0.802). Bootstrap self-sampling was used to verify the model internally. After 1000 samples the average absolute error between the predicted risk and the actual risk was 0.013, indicating good prediction ability. The DCA results demonstrated that the model has substantial clinical applicability across a range of nutritional interventions, particularly for threshold probability values ranging from 0 to 0.96.Conclusion:Pulmonary infection, dysphagia, low GCS score, and high aCCI score are risk factors for malnutrition among tracheotomy patients. The nomogram model constructed in this study has good predictive value for the occurrence of malnutrition among such patients.

Objective:To investigate the effects of ubiquitin-specific protease (USP) 7/47 inhibitor (Cat. No. 1247825-37-1) on the proliferation and apoptosis of acute myeloid leukemia (AML) cells with or without internal tandem duplications of the Flt3 gene (Flt3-ITD). Methods:ATP assay was used to detect the effects of 1247825-37-1 on the cell viability of two AML cell lines (MOLM13 and MV4-11) harboring Flt3-ITD mutation and one AML cell line (THP-1) without Flt3-ITD mutation as well as the primary Flt3-ITD-mutant and non-mutant AML cells from patient samples. Flow cytometry was used to detect the apoptosis of AML cell lines treated by different concentrations of 1247825-37-1.Results:Compared with the control group, 1247825-37-1 was able to significantly inhibit the proliferation of MOLM13, MV4-11 and THP-1 cells ( P<0.000 1). Besides, the cell viability of primary AML cells was also inhibited by 1247825-37-1, and a stronger inhibitory effect on non-mutant AML cells was observed. The USP7/USP47 inhibitor 1247825-37-1 could inhibit the proliferation of AML cells in a dose-dependent manner and a low dose (2 or 4 μmol/L) of 1247825-37-1 would be effective. Moreover, 1247825-37-1 was also able to efficiently induce the apoptosis of above AML cell lines in a dose-dependent manner. Conclusions:The USP7/USP47 inhibitor 1247825-37-1 significantly inhibits the proliferation of AML cells with or without Flt3-ITD mutation.

【Objective】 To analyze the clinical features of patients with infected pancreatic necrosis (IPN) complicated with fungal infection so as to identify possible risk factors for death. 【Methods】 We analyzed the clinical data of patients with IPN admitted to Xuanwu Hospital Capital Medical University from January 1, 2017 to December 31, 2021. According to the results of pancreatic necrotic tissue and drainage fluid culture, the patients were divided into the group with fungal infection and the group without fungal infection. The baseline data, clinical features and outcomes of the two groups were compared, and the risk factors for death in patients with fungal infection were analyzed. 【Results】 We included a total of 214 patients in the study, of whom 49 patients in the fungal infection group had wider necrotic involvement, lower hematopoietic volume, and higher blood glucose at admission. Patients with fungal infection had a higher proportion of multidrug-resistant bacteria (MDRB), and hospital and ICU stay as well as parenteral nutrition duration were also longer. In the group of patients with fungal infection, the proportion of patients undergoing surgery did not increase (P>0.05), but the proportion of patients with perioperative organ failure and death was higher (P<0.05). Candida albicans (44.8%) was the most common fungus detected, followed by Candida parapsilosis (28.6%) and Candida tropicalis (8.2%). Logistic regression analysis showed that MDRB infection (OR=1.37, 95% CI:1.02-1.83), fungemia (OR=1.53, 95% CI:1.06-2.23), hyperglycemia (OR=1.65, 95% CI:1.28-2.10), new organ failure (OR=1.65, 95% CI:1.19-2.29) and bleeding complications (OR=1.64, 95% CI:1.28-2.10) after surgery were risk factors for death in patients with fungal infection. 【Conclusion】 Fungal infection increases mortality in patients with IPN and the incidence of new organ failure after surgery. Attention to fungemia, MDRB infection, hyperglycemia, organ failure and postoperative bleeding can help reduce the risk of death.

Objective:To evaluate the long-term outcomes and prognostic factors of locally advanced gastric cancer with serosa-invasion.Methods:This study is a retrospective cohort study. The clinical and pathological data of 495 patients with locally advanced gastric cancer with serosa-invasion who underwent laparoscopic radical gastrectomy in Department of General Surgery, the First Hospital Affiliated to Army Medical University from October 2012 to October 2018 was analyzed retrospectively. There were 356 males and 139 females with an age ( M(IQR)) of 59 (16) years (range: 18 to 75 years). Observation indicators included postoperative results and long-term prognosis. The survival curve was drawn by the Kaplan-Meier method. Univariate and multivariate prognostic analysis was performed using the Cox proportional hazards model. Results:Among the 495 patients, a total of 57 patients (11.5%) were lost to follow-up, with a follow-up time of 89 (40) months (range: 23 to 134 months). The 5-year disease-free survival rate (DFS) and the 5-year overall survival rate (OS) were 56.0% and 58.2%, respectively. The 5-year DFS for patients with stage ⅡB, ⅢA, ⅢB, ⅢC were 71.2%, 60.5%, 51.6%, 33.3%, respectively. The 5-year OS for patients with stage ⅡB, ⅢA, ⅢB, ⅢC were 71.2%, 62.2%, 54.1%, 39.3%, respectively. Multivariate analysis showed that age >65 years (DFS: HR=1.402, 95% CI: 1.022 to 1.922, P=0.036; OS: HR=1.461, 95% CI: 1.057 to 2.019, P=0.022), lymph node dissection number less than 25 (DFS: HR=1.348, 95% CI: 1.019 to 1.779, P=0.036; OS: HR=1.376, 95% CI: 1.035 to 1.825, P=0.028), pathological stage Ⅲ (DFS: HR=2.131, 95% CI: 1.444 to 3.144, P<0.01; OS: HR=2.079, 95% CI: 1.406 to 3.074, P<0.01), and no postoperative chemotherapy (DFS: HR=3.127, 95% CI: 2.377 to 4.113, P<0.01; OS: HR=3.768, 95% CI: 2.828 to 5.020, P<0.01) were independent prognostic factors for the decrease in DFS and OS rates. Conclusions:Laparoscopic radical gastrectomy for locally advanced gastric cancer with serosa-invasion could achieve satisfactory long-term oncological outcomes. More lymph node dissection and standardized postoperative adjuvant chemotherapy are expected to further improve the prognosis of patients with locally advanced gastric cancer with serous invasion after laparoscopic radical surgery.