Objective To explore the risk factors analysis and prediction model establishment of restenosis dysfunction at 1 year after percutaneous transluminal angioplasty(PTA)of internal arteriovenous fistula based on machine learning.Methods A total of 322 patients who underwent PTA of internal arteriovenous fistula in Wenzhou Central Hospital from June 1,2018 to December 31,2023 were enrolled.The operation-related data were collected.Variables were used to construct prediction models using five machine learning algorithms:Random forest(RF),extreme gradient boosting(XGBoost),support vector machine(SVM),gradient boosting decision tree(GBDT)and Logistic regression(LR).The predictive efficacy was evaluated by area under receiver operating characteristic curve.Results There were 97 cases of restenosis dysfunction and 225 cases of non-dysfunction.The incidence of internal fistula restenosis dysfuction was 30.1％1 year after PTA.The age,diabetes,smoking,calcium-phosphorus product,dilatation pressure ≥20mmHg,and balloon diameter ≥6mnm in dysfunction group were higher than those in non-dysfunction group.The difference was statistically significant(P＜0.05).The area under the curve of RF,XGBoost,SVM,GBDT and LR models based on machine learning was 0.908(95％CI:0.836-0.980),0.809(95％CI:0.696-0.922),0.745(95％CI:0.624-0.867),0.711(95％CI:0.576-0.847)and 0.651(95％CI:0.508-0.795),respectively.The sensitivity was 79.1％,70.8％,83.3％,62.5％and 72.3％,respectively.The specificity was 89.0％,81.2％,57.8％,78.9％and 71.0％,respectively.Conclusion Age,diabetes mellitus,smoking,calcium-phosphorus product,expansion pressure ≥20mnmHg,balloon diameter ≥ 6mm are independent risk factors for restenosis failure after PTA in patients with internal arteriovenous fistula,which can be used as an index to predict restenosis failure 1 year after PTA in internal arteriovenous fistula.The random forest prediction model based on machine learning algorithm has good prediction performance and can better predict restenosis failure 1 year after PTA in internal arteriovenous fistula.

Objective To investigate programmed death including necroptosis,apoptosis,autophagy,ferroptosis,and pyroptosis in bone marrow megakaryocytes of mice during sepsis and its impact on platelet production capacity and coagulation function in mice.Methods C57BL/6J mice were randomly divided into a sham operation group(sham group)and a sepsis model group(CLP group).Peripheral blood platelets and coagulation function were measured by abdominal aortic blood sampling at 24 h postoperatively in both sham and CLP groups.After the mice were sacrificed,long bones of both lower limbs were taken,and bone marrow megakaryocytes were extracted using megakaryocyte separation solution and immunomagnetic bead separation.Laser confocal microscopy was used to observe the activation of programmed death-related marker molecules in mouse bone marrow megakaryocytes.Flow cytometry was used to detect programmed death rate,platelet production phenotype,and platelet surface markers(CD41,CD42b,CD61)of megakaryocytes.Western blotting was used to detect the expression of programmed death-related proteins in megakaryocytes.Results Compared with the sham group,the CLP group showed significant decreases in the number of platelets during acute sepsis(24 h)(P<0.000 1),significant increases in platelet distri-bution width(PDW)and mean platelet volume(MPV)(P<0.01),significant prolonging of thrombin time(TT),prothrombin time(PT),and activated partial thromboplastin time(APTT)(P<0.000 1,P<0.001,P<0.01),and significant reduction in fibrinogen(Fib)(P<0.000 1).Compared with the Con/sham group,the LPS/CLP group exhibited significant increases in the platelet production phenotype of megakaryocyte,the number of PLP in the supernatant,and the expression levels of platelet surface markers(CD41,CD42b,CD61).The rates of megakaryocyte necroptosis/apoptosis,pyroptosis,and ferroptosis were significantly elevated at 24 h post-CLP surgery.Laser confo-cal microscopy showed significant activation of LC3,P-MLKL,Caspase-1,and Fe2+in megakaryocytes of mice after CLP surgery.Western blotting results revealed that the CLP group exhibited a significant increase in the activa-tion rate of necroptosis-related protein P-MLKL(P<0.001),a significant increase in the cleavage of pyroptosis-related proteins GSDMD and GSDMD-N(P<0.01,P<0.001,respectively),a significant increase in the expres-sion of ferroptosis-related protein ACSL4(P<0.01),and a significant decrease in the expression of GPX4(P<0.01)compared to the sham group.Additionally,the CLP group demonstrated significant increases in the expression of apoptosis-related protein Bax,the cleavage of autophagy-related protein LC3B-Ⅱ,and the expression of P62(P<0.05,P<0.001,P<0.001,respectively).Inhibition of apoptosis with programmed cell death inhibitors decreased platelet production function of megakaryocyte,while inhibition of necroptosis and pyroptosis had limited effects on platelet production function of megakaryocyte.Inhibition of ferroptosis and autophagy enhanced platelet production function of megakaryocyte.Conclusion Significant programmed death of megakaryocytes was observed during the acute phase of sepsis(24 h).Among those megakaryocytes,apoptosis is an important mechanism for the differentia-tion of platelet production phenotype and increased platelet production capacity of megakaryocyte.Overactive autophagy and ferroptosis in megakaryocytes lead to megakaryocyte dysfunction,which is an important mechanism for coagulation abnormalities in sepsis.

Objective:To investigate the influencing factors of major adverse cardiovascular events (MACE) in maintenance hemodialysis (MHD) patients, and to construct and verify the nomogram.Methods:The clinical data of 240 patients with MHD admitted to the First Affiliated Hospital of Hebei North University from July 2022 to October 2023 were retrospectively analyzed. According to whether the patients had MACE, they were divided into two groups, namely the occurrence group (with MACE, n=55) and the non-occurrence group (without MACE, n=185). After comparing the clinical data of the two groups, The independent risk factors of MHD patients with MACE were screened by binary logistic regression analysis, and the risk nomogram prediction model was constructed according to the risk factors, and the prediction efficiency of the model was analyzed by Bootstrap method. Results:There were significant differences in age, dialysis age, hyperlipidemia, hyperuricemia and hemodialysis flux between the two groups (all P<0.05). Binary logistic regression model analysis showed that dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia, and low throughput hemodialysis were independent risk factors for MHD patients with MACE (all P<0.05). The neomorph risk prediction model was constructed based on independent risk factors. The area under the curve (AUC) of the prediction model was 0.842(95% CI: 0.789-0.896), the specificity was 69.1%, the sensitivity was 89.7%, the cutoff value was 13.128, and the Yoden index was 0.588, suggesting that the accuracy of the model was good. Conclusions:Dialysis age >12 months, combined with hyperlipidemia, combined with hyperuricemia and low throughput hemodialysis are independent risk factors for MACE in MHD patients. Intervention and control of risk factors can reduce the incidence of MACE.

Objective:To develop a rapid, sensitive, and quantitative method for detecting Klebsiella pneumoniae using digital loop-mediated isothermal amplification(LAMP)-CRISPR/Cas12b. Methods:Five LAMP primers targeting the Kp-1 gene of Klebsiella pneumoniae and guide RNA (gRNA) for Cas12b were designed. The digital LAMP-CRISPR/Cas12b reaction mixture included 1×WarmStart ? LAMP master mix, 1×LAMP primers, 250 nmol/L Cas12b, 250 nmol/L gRNA, 3 μmol/L ssDNA reporter, 1 000 U/ml RNase inhibitor, 4 mmol/L Mg 2+, and DEPC water. After preparing the digital chip, it was incubated at 60℃ for one hour. Fluorescence distribution was then detected using a biochip analyzer to calculate the input DNA concentration. The specificity of the method was tested using genomic DNA from seven pathogenic microorganisms. The quantitative performance was assessed using serial dilutions of Klebsiella pneumoniae DNA ranging from 5-500 000 copies/μl. Clinical sputum samples were collected for comparison of quantitative performance with qPCR and qualitative performance with culture methods. Results:The digital LAMP-CRISPR/Cas12b method showed high specificity, yielding negative results for all six non-target pathogens. Quantitative performance tests indicated a sensitivity as low as 5 copies/μl, with a linear dynamic range of 5-50 000 copies/μl ( R2=0.927 4). Clinical sample quantitative testing showed that the correlation coefficient between digital LAMP-CRISPR/Cas12b and qPCR quantification was 0.917 0. Compared with the culture results of 72 samples, this method had a sensitivity of 100% and detected two additional samples with negative culture result, with a specificity of 91%; Compared with the culture method, qPCR had a sensitivity of 96% and a specificity of 83%. These results indicated that the digital LAMP-CRISPR/Cas12b method had good quantitative and qualitative detection performance for clinical sputum samples. Conclusions:This method offers advantages over qPCR, including rapidity, simplicity, and high precision. The digital LAMP-CRISPR/Cas12b method enables absolute quantification of Klebsiella pneumoniae in sputum samples, enhancing the accuracy of early screening for Klebsiella pneumoniae infections. These advantages make digital LAMP-CRISPR/Cas12b technology highly promising for the precise diagnosis of pathogenic microorganisms in field detection, primary healthcare, and resource-limited environments.

Objective:To understand the molecular evolutionary characteristics of the recombinant strain GII.3[P12] of norovirus acute gastroenteritis outbreaks and aggregated outbreaks in China from 2022 to 2023.Methods:Epidemiological information, case information, clinical samples, as well as detection and genotyping information of norovirus outbreaks and aggregated outbreaks from 2022 to 2023 were collected; positive samples of the GII.3[P12] recombinant strain were subjected to nucleic acid extraction, whole-genome amplification, and sequence analysis; and homology simulation method were used to construct a three-dimensional structure and predict antigenic epitopes.Results:From January 2022 to December 2023, a total of 1 136 norovirus outbreaks and aggregated outbreaks were reported in China′s norovirus outbreak surveillance network, and genotyping result were successfully obtained for 942 outbreaks, with GII dominating, accounting for 76.0% (716/942), and the proportion of GI and mixed genotypes being 15.8% (149/942) and 8.2% (77/942). Norovirus outbreaks caused by GII were dominated by GII.3[P12] (22.5%, 161/716), while other major genotypes included GII.17[P17] (18.7%, 134/716), GII.4_Sydney 2012[P16] (11.6%, 83/716) and GII.6[P7] ( 11.3%, 81/716). 2022-2023 Outbreaks caused by GII.3[P12] were concentrated in February-March (54.0%, 87/161), with the main outbreaks occurring in nursery and primary schools (87.5%), the mode of transmission was mainly human-to-human (68.9%), and the main susceptible population was children aged 3-7 years (93.3%). In this study, the genome sequences of 25 GII.3[P12] recombinant strains were obtained, and according to the phylogenetic analysis, it was shown that the GII.3[P12] recombinant strains in China in 2022-2023 belonged to the Cluster IV cluster of sublineage b (7 strains) and sublineage c (18 strains). A total of 11 linear and 8 conformational epitopes were predicted by epitope prediction analysis, and the predicted linear and conformational epitopes had overlapping positions, and each conformational epitope was part of the predicted linear epitope with conserved potential antigen-binding and receptor-binding sites.Conclusions:The recombinant strain GII.3[P12] is one of the epidemic strains that will cause outbreaks and clusters of norovirus in China in 2022-2023, and its genome did not undergo significant mutation.

Objective:To analyze the gene mutation spectrum of children with T-acute lymphoblastic leukemia (T-ALL) using next generation sequencing technology and to evaluate the value of gene mutations in prognosis stratification.Methods:A case series analysis was made.The clinical data of newly diagnosed pediatric T-ALL patients in the First Affiliated Hospital of Zhengzhou University from January 1, 2019 to February 29, 2024 were analyzed retrospectively.T-ALL gene mutations were analyzed.The relationships of gene mutations with clinical features and induction of responses to therapy were studied.The effects of gene mutations on overall survival (OS) and event-free survival (EFS) were examined by the Kaplan-Meier method and COX regression model.Results:A total of 80 newly diagnosed pediatric T-ALL patients were enrolled in the study, with a male-to-female ratio of 3.4∶1.0 and a median age of 8 (range, 2-17) years.A total of 57 mutations were detected in 74 patients, 46.2% (37/74) of whom showed 3 or more gene mutations.The coexistence of mutated genes was obvious. PTEN mutations were more prevalent in male patients ( P=0.018).Initial leukocyte counts were higher in patients with PTEN mutations ( P=0.038) and lower in patients with JAK3 mutations ( P=0.002).Patients with NOTCH1 mutations had a higher positive rate of fusion genes ( P=0.043).Patients with PTEN mutations had a higher rate of minimal residual disease(MRD) remission after 15/19 d of treatment with induction therapy, respectively ( P=0.013).The rate of MRD remission after 33/46 d of treatment with induction therapy was higher in patients with the FBXW7 mutation ( P=0.004) and lower in patients with JAK3 mutations ( P=0.003).Multifactorial COX regression analysis showed that IL7R mutation and three or more gene mutations were independent risk factors for OS and EFS in T-ALL patients(OS: HR=3.252, 7.357, 95% CI: 1.020-10.372, 1.646-32.882; EFS: HR=3.372, 3.009, 95% CI: 1.234-9.214, 1.174-7.708; all P<0.05). Conclusions:Gene mutations are prevalent in T-ALL children and correlate with clinical manifestations and prognosis.The coexistence of mutated genes is obvious.Pediatric T-ALL patients with IL7R mutations and three or more gene mutations have a poorer prognosis.

Objective:To investigate the clinical experience and efficacy of unrelated umbilical cord blood hematopoietic stem cell transplantation (HSCT) for the treatment of congenital amegakaryocytic thrombocytopenia (CAMT).Methods:A case summary was conducted.The clinical data of 2 children with CAMT who were finally cured by unrelated umbilical cord blood HSCT in the Department of Pediatric Medicine, the First Affiliated Hospital of Zhengzhou University from March 2020 to August 2023 were retrospectively analyzed.Related studies were retrieved from databases CNKI, Wanfang and PubMed using search terms including " congenital amegakaryocytic thrombocytopenia" and " hematopoietic stem cell transplantation" from the inception to July 2024.The clinical characteristics, diagnosis and treatment processes, and prognosis of CAMT patients treated by HSCT were then summarized.Results:Both cases exhibited scattered skin haemorrhages throughout the body and carried 2 compound heterozygous mutations with pathogenicity in the MPL gene.Both patients were finally diagnosed with CAMT.Case 1 was a girl aged 3 at the time of transplantation, and case 2 was also a girl, who aged 5 at the time of transplantation.Both of them received unrelated umbilical cord blood HSCT and hematopoietic reconstruction was achieved.The time of neutrophil and platelet implantation was 21 and 40 days after transplantation in case 1, and 20 and 31 days in case 2, respectively.The chimerism rate of neutrophil implantation in both children was complete chimerism of donor cells.Implantation syndrome was detected in case 1 following transplantation.Case 2 suffered implantation syndrome, hypertensive encephalopathy, and cytomegalovirus infection following transplantation.Both children showed no graft-versus-host disease (GVHD).Both children had hematopoietic and immune reconstruction after transplantation and their primary diseases were cured.Cases 1 and 2 were followed up for more than 14 and 17 months, respectively.Both of them achieved disease-free survival during the follow up.Literature review of 26 cases with CAMT treated by HSCT, including the above-mentioned 2 cases was conducted, with an overall disease-free survival rate of 92.3%(24/26).Of 12 cases with CAMT typing, 10 were type Ⅰ and 2 were type Ⅱ.Of the 26 cases treated by HSCT, 17 had bone marrow HSCT, with an overall survival rate of 88.2%(15/17), and 2 had peripheral blood HSCT.Seven cases had umbilical cord blood HSCT (6 cases receiving unrelated umbilical cord blood HSCT and 1 case receiving related umbilical cord blood HSCT), with an overall survival rate of 100%.Unlike bone marrow and peripheral blood HSCT, unrelated umbilical cord blood HSCT did not result in 3-4 grade GVHD. Conclusions:Unrelated umbilical cord blood HSCT can achieve good therapeutic effects in CAMT patients when there is no suitable donor.Myeloablative pretreatment is conducive to CAMT patients.

Objective To explore the risk factors analysis and prediction model establishment of restenosis dysfunction at 1 year after percutaneous transluminal angioplasty(PTA)of internal arteriovenous fistula based on machine learning.Methods A total of 322 patients who underwent PTA of internal arteriovenous fistula in Wenzhou Central Hospital from June 1,2018 to December 31,2023 were enrolled.The operation-related data were collected.Variables were used to construct prediction models using five machine learning algorithms:Random forest(RF),extreme gradient boosting(XGBoost),support vector machine(SVM),gradient boosting decision tree(GBDT)and Logistic regression(LR).The predictive efficacy was evaluated by area under receiver operating characteristic curve.Results There were 97 cases of restenosis dysfunction and 225 cases of non-dysfunction.The incidence of internal fistula restenosis dysfuction was 30.1％1 year after PTA.The age,diabetes,smoking,calcium-phosphorus product,dilatation pressure ≥20mmHg,and balloon diameter ≥6mnm in dysfunction group were higher than those in non-dysfunction group.The difference was statistically significant(P＜0.05).The area under the curve of RF,XGBoost,SVM,GBDT and LR models based on machine learning was 0.908(95％CI:0.836-0.980),0.809(95％CI:0.696-0.922),0.745(95％CI:0.624-0.867),0.711(95％CI:0.576-0.847)and 0.651(95％CI:0.508-0.795),respectively.The sensitivity was 79.1％,70.8％,83.3％,62.5％and 72.3％,respectively.The specificity was 89.0％,81.2％,57.8％,78.9％and 71.0％,respectively.Conclusion Age,diabetes mellitus,smoking,calcium-phosphorus product,expansion pressure ≥20mnmHg,balloon diameter ≥ 6mm are independent risk factors for restenosis failure after PTA in patients with internal arteriovenous fistula,which can be used as an index to predict restenosis failure 1 year after PTA in internal arteriovenous fistula.The random forest prediction model based on machine learning algorithm has good prediction performance and can better predict restenosis failure 1 year after PTA in internal arteriovenous fistula.

Objective:To search, evaluate, and synthesize the best evidence for the management of diabetes in patients after heart transplantation, in order to provide reference for blood glucose management in subsequent patients within transplant teams.Methods:Following the "6S" model, a systematic search was conducted for guidelines, expert consensus, systematic reviews, and primary studies on the management and prevention of diabetes mellitus after heart transplantation. The search period was from database inception to May 22, 2024. The articles were assessed for quality and evidence grading using the Joanna Briggs Institute Evidence-Based Health Care Center's quality appraisal standards and evidence grading and recommendation grading system.Results:A total of 11 articles were included, consisting of three guidelines, six expert consensus papers, and two systematic reviews. These studies covered six key areas: early risk factor assessment, expansion of post transplantation diabetes mellitus screening trials, management of modifiable risk factors, lifestyle changes, implementation of personalized blood sugar reduction plans, and microvascular complication management. A total of 33 relevant pieces of evidence were summarized.Conclusions:The transplant team should formulate personalized blood glucose management plans based on clinical contexts, and heart transplant recipients should also actively engage in blood glucose monitoring and management to improve prognosis.

Objective·To identify different comorbidity types resulting from the spontaneous association of psychopathological symptoms among male drug addicts,explore the relationship between latent types and drug addiction,and examine the mediating role of psychological distress.Methods·Four hundred and fifty male drug addicts,recruited by Yunnan First Compulsory Isolation Drug Rehabilitation Center according to the 2017 revised Drug Addiction Identification Method by the Ministry of Public Security,were enrolled as participants.The Symptom Checklist-90(SCL-90),Craving Automated Scale for Substances(CAS-S),and Psychache Scale(PAS)were used to assess the severity of psychopathological symptoms,drug addiction,and psychological distress,respectively.Latent class analysis was employed to identify different types of psychopathological comorbidity that may exist in the participants,and the types were named based on the analysis results.Variance analysis was used to test differences in the severity of drug addiction and psychological distress among different latent types,and a mediation model was established to explore the mediating role of psychological distress between different latent types and drug addiction.Results·Latent class analysis identified three types of psychopathology:high,medium,and low levels,with decreasing positive rates and numbers of comorbidity in each type based on the ten psychopathological symptoms included in the SCL-90.There were significant differences in the severity of psychological distress and drug addiction among the three types of participants.Psychopathological symptoms positively predicted the severity of psychological distress and drug addiction.Psychological distress completely mediated the relationship between medium levels of psychopathology and drug addiction,while partially mediating the relationship between high levels of psychopathology and drug addiction.Conclusion·There are three types of psychopathological comorbidity among male drug addicts:high,medium,and low.Psychological distress plays a complete mediating role between medium levels of psychopathology and drug addiction,and a partial mediating role between high levels of psychopathology and drug addiction.