Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Objective:To analyze the genotypes and distribution of thalassemia in Xindu District of Chengdu,in order to provide reference for the prevention and treatment of thalassemia in this area.Methods:A total of 3 679 samples screened for thalassemia gene in Xindu District People's Hospital of Chengdu from June 2021 to April 2024 were selected as the study objects.Blood related parameters were detected by blood analyzer,hemoglobin composition was analyzed by capillary electrophoresis,and routine thalassemia gene detection was performed by PCR+flow-through hybridization.For the samples whose hematologic characteristics did not match the conventional results of thalassemia genes,the genotypes were determined by gene sequencing technology and the results were analyzed.Results:Among 3 679 samples,540 carriers were detected,the total detection rate was 14.68％.Among them,329 cases were α-thalassemia,with a total of 8 genotypes.The top 3 genotype in frequency were--SEA/αα(45.29％,149/329),-α3.7/αα(38.91％,128/329),and-α4.2/αα(6.08％,20/329).There were 197 cases of β-thalassemia,with a total of 10 genotypes,and the top 3 genotype in frequency were βCD41-42(-TCTT)/βN(29.95％,59/197),βCD17(A＞T)/βN(27.92％,55/197),and βIVSII-654(C＞T)/βN(24.87％,49/197).There were 14 cases of αβ-thalassemia,with a total of 12 genotypes,and the main were-α3.7/αα,βIVSII-654(C＞T)/βN and-α3.7/αα,βCD41-42(-TCTT)/βN.There was a rare thalassemia genotype(--SEA/HKαα).In addition,three rare abnormal hemoglobin mutations and one unreported abnormal hemoglobin mutation(HBA1:c.300+13C＞G site heterozygous mutation)were also found.Conclusion:The detection rate of thalassemia gene in this area is high and the genotype is complex.In gene diagnosis,we should pay attention to the combination of multi-technology detection to avoid missing rare genotypes.

Objective:To explore the clinical characteristics and prognosis risk factors of aggressive NK-cell leukemia(ANKL).Methods:The clinical and laboratory data of 34 patients with ANKL and 15 patients with chronic lymphoproliferative disorders of NK cells(CLPD-NK)admitted to the First Affiliated Hospital of Zhengzhou University from September 2019 to December 2024 were retrospectively analyzed.The Kaplan-Meier method was used to calculate survival rates,and the Cox proportional hazards regression model was used to analyze prognostic factors.Results:Compared with CLPD-NK patients,ANKL patients had a younger median age of onset,a higher proportion patients with EBV-DNA≥500 copies/ml,hepatosplenomegaly and hemophagocytic syndrome.They also presented with a higher peak of fever,a shorter median survival time,lower WBC count,PLT count,ALB and Fib values,while having higher LDH,AST,TG,ferritin,CRP and PCT levels.There were statistically significant differences in the morphology and expression of HLA-DR,CD56,CD57,CD16 and CD158 on abnormall cells between ANKL patients and CLPD-NK patients.Multivariate survival analysis revealed that combined with asparaginase treatment could improve patients' survival,and CRP≥ 15 mg/L and Fib＜2.0 g/L were independent risk factors affecting the overall survival of patients with ANKL.Conclusion:The differences in clinical features and laboratory tests between patients with ANKL and CLPD-NK aid in the diagnosis of ANKL.CRP and Fib levels can be used to predict the prognosis of patients,and combined asparaginase therapy can enhance the overall survival of patients.

Objective:This study aims to analyze the trends,hotspots,and interrelations in research on retroperito-neal tumors through bibliometric methods,providing the latest scientific information support for clinicians and research-ers.Methods:Data were sourced from the SCI-expanded database of the Web of Science Core Collection,covering the period from 2004 to 2023.Statistical analysis and visualization of the number of publications,total citations,average citations per article,countries,institutions,journals,and keywords were conducted using Microsoft Excel 2019,VOS-viewer,and CiteSpace.Results:A total of 6,842 relevant articles were retrieved,with a total of 113 753 citations and an average of 16.63 citations per article.The number of publications had been increasing annually,peaking in 2022.The United States,China,and Japan are the major research countries,with the United States contributing the most.Memo-rial Sloan Kettering Cancer Center and the University of Texas MD Anderson Cancer Center are the leading research in-stitutions.The journal with the most publications was the Cureus Journal of Medical Science.Gronchi Alessandro was the most prolific author.The ain keywords were"Management","Surgery",and"Tumor",and the most cited papers focus on surgery and multicenter studies.Conclusion:Research on retroperitoneal tumors is increasing annually,with hot-spots focusing on treatment methods and prognosis analysis.The United States is the main contributor to this field,with significant international collaboration.Future research should further explore the pathogenesis of retroperitoneal tumors and more effective treatment strategies.

Objective:To describe the prevalence of non-alcoholic fatty liver disease (NAFLD) in people living with HIV in Taizhou, Zhejiang Province, and identify the factors associated with NAFLD in this population.Methods:A cross-sectional survey was conducted from 2021 to 2023. Based on the routine follow-up management of people living with HIV, liver ultrasound examination, physical examination and laboratory test were conducted to collect the information about the diagnosis of NAFLD and biochemical indicators in this population. Logistic regression model was used to identify the factors associated with the prevalence of NAFLD.Results:In the 2 550 study participants, the prevalence of NAFLD was 21.5% (548/2 550), abnormal liver function was found in 23.7% (604/2 550) of the study participants, and liver fibrosis was found in 45.2% (1 152/2 550) of the study participants. Multivariable logistic regression analyses showed that being women (a OR=0.55, 95% CI: 0.42-0.73), being overweight or obese (a OR=3.22, 95% CI: 2.59-4.01), having diabetes (a OR=3.37, 95% CI: 2.15-5.29), having dyslipidemia (a OR=2.96, 95% CI: 2.25-3.89), CD4 + T lymphocyte (CD4) counts <200 cells/μl (a OR=0.61, 95% CI: 0.42-0.88), and receiving Efavirenz (EFV) + Lamivudine (3TC) + Zidovudine (AZT) for antiretroviral therapy (ART)(a OR=1.52, 95% CI: 1.17-1.98) were associated with NAFLD. NAFLD was positively associated with abnormal liver function (a OR=2.01, 95% CI: 1.60-2.52) and inversely associated with liver fibrosis (a OR=0.76, 95% CI: 0.59-0.98). The 45-59 age group (a OR=7.05, 95% CI: 5.65-8.80), CD4 counts <200 cells/μl (a OR=1.45, 95% CI: 1.06-1.97) and receiving Nevirapine (NVP)+3TC+AZT of ART (a OR=1.87,95% CI: 1.44-2.43) were the main factors associated with liver fibrosis. Conclusions:The prevalence of NAFLD in people living with HIV Taizhou was more than 20.0%, with a significant proportion of them having abnormal liver function and liver fibrosis. Being overweight or obese, suffering from diabetes, having dyslipidemia, low CD4 counts, and receiving specific ART were associated with NAFLD. NAFLD, CD4 counts and specific ART were the main factors associated with abnormal liver function and liver fibrosis.

Objective:To describe the prevalence of non-alcoholic fatty liver disease (NAFLD) in people living with HIV in Taizhou, Zhejiang Province, and identify the factors associated with NAFLD in this population.Methods:A cross-sectional survey was conducted from 2021 to 2023. Based on the routine follow-up management of people living with HIV, liver ultrasound examination, physical examination and laboratory test were conducted to collect the information about the diagnosis of NAFLD and biochemical indicators in this population. Logistic regression model was used to identify the factors associated with the prevalence of NAFLD.Results:In the 2 550 study participants, the prevalence of NAFLD was 21.5% (548/2 550), abnormal liver function was found in 23.7% (604/2 550) of the study participants, and liver fibrosis was found in 45.2% (1 152/2 550) of the study participants. Multivariable logistic regression analyses showed that being women (a OR=0.55, 95% CI: 0.42-0.73), being overweight or obese (a OR=3.22, 95% CI: 2.59-4.01), having diabetes (a OR=3.37, 95% CI: 2.15-5.29), having dyslipidemia (a OR=2.96, 95% CI: 2.25-3.89), CD4 + T lymphocyte (CD4) counts <200 cells/μl (a OR=0.61, 95% CI: 0.42-0.88), and receiving Efavirenz (EFV) + Lamivudine (3TC) + Zidovudine (AZT) for antiretroviral therapy (ART)(a OR=1.52, 95% CI: 1.17-1.98) were associated with NAFLD. NAFLD was positively associated with abnormal liver function (a OR=2.01, 95% CI: 1.60-2.52) and inversely associated with liver fibrosis (a OR=0.76, 95% CI: 0.59-0.98). The 45-59 age group (a OR=7.05, 95% CI: 5.65-8.80), CD4 counts <200 cells/μl (a OR=1.45, 95% CI: 1.06-1.97) and receiving Nevirapine (NVP)+3TC+AZT of ART (a OR=1.87,95% CI: 1.44-2.43) were the main factors associated with liver fibrosis. Conclusions:The prevalence of NAFLD in people living with HIV Taizhou was more than 20.0%, with a significant proportion of them having abnormal liver function and liver fibrosis. Being overweight or obese, suffering from diabetes, having dyslipidemia, low CD4 counts, and receiving specific ART were associated with NAFLD. NAFLD, CD4 counts and specific ART were the main factors associated with abnormal liver function and liver fibrosis.

Kv1.3,a voltage-gated potassium channel,is highly expressed in T lymphocytes,the nervous system,and vascular smooth muscle cells.It plays a critical role in membrane excitability and electrical signal transduction,serving as an important target for studying T-cell function and providing a promising direction for developing therapeutics against autoimmune and inflammatory diseases.Therefore,the de-velopment of specific inhibitors of Kv1.3 channel has emerged as a novel therapeutic strategy for these disorders.In this study,we isolated and purified a novel Kv1.3-inhibitory peptide toxin,LmKTx13,from the venom of the scorpion Lychas mucronatus using reversed-phase high-performance liquid chroma-tography(RP-HPLC).LmKTx13 consists of 38 amino acid residues,including six cysteines that form three disulfide bonds.Whole-cell patch-clamp recordings revealed that LmKTx13 potently inhibited Kv1.3 with an IC50 of 7.92±3.0 nmol/L.Selectivity analysis showed that 2 μmol/L LmKTx13 also in-hibited Kv1.2 and Kv1.7,but exhibited no significant effects on other potassium channel subtypes or voltage-gated sodium channels.Further investigation into the mechanism demonstrated that LmKTx13 acts as a pore-blocking inhibitor of Kv1.3.By analyzing the effects of LmKTx13 on Kv1.3 channel gating ki-netics and performing sequence alignment of the pore regions of Kv1.3 and Kv1.5,we constructed site-directed mutants and identified the pore region of Kv1.3 as the critical binding site for LmKTx13.Key residues involved in the interaction included T425,G427,and H451.In summary,we discovered a no-vel pore-blocking Kv1.3 inhibitor,LmKTx13,from L.mucronatus venom,which exhibits high affinity and selectivity for Kv1.3.These findings highlight its potential as a potential lead molecule for developing Kv1.3-targeted therapeutics.

Objective To explore the predictive factors of recurrence of chronic suppurative otitis media(CSOM)after otoendoscopic surgery,and construct a risk quantified nomogram model.Methods The clinical data of 485 patients with CSOM who underwent otoendoscopic surgery in our hospital from February 2021 to February 2023 were retrospectively analyzed.The patients were divided into the recurrence group and the non-recurrence group according to the recurrence situation during the follow-up period.The clinical data of patients between the two groups were compared,and the predictive factors of postoperative recurrence were analyzed by Cox regression method.A risk quantified nomogram model was constructed based on these predictive factors.The predictive efficiency of the model was verified by receiver operating characteristic(ROC)curve,and the calibration degree of the model was verified by Hosmer-Lemeshow goodness of fit analysis,and the clinical net benefit of the model was evaluated by decision curve analysis(DCA)method.Results Follow-up ranged from 6 to 39 months,with a median of 21(11,32)months,the postoperative recurrence rate was 14.64%(71/485).Combined with recurrent upper respiratory tract infections(HR=3.019,95%CI:1.609 to 5.664),combined with chronic rhinosinusitis(HR=2.428,95%CI:1.529 to 3.856),combined with adenoid hypertrophy(HR=2.214,95%CI:1.381 to 3.551),middle ear risk index(MERI)score(HR=2.863,95%CI:1.445 to 5.675),the seven-item eustachian tube dysfunction questionnaire(ETDQ-7)score(HR=2.679,95%CI:1.505 to 4.765)and inadequate drainage of the surgical cavity(HR=2.373,95%CI:1.503 to 3.746)were the risk factors for postoperative recurrence(P<0.05).A risk quantified nomogram model of recurrence after otoendoscopic surgery in CSOM patients was constructed based on the predictive factors of Cox regression analysis,among them the risk value ranges of patients who combined with recurrent upper respiratory tract infections,combined with chronic rhinosinusitis,combined with adenoid hypertrophy,MERI score,ETDQ-7 score,and inadequate drainage of the surgical cavity were 0 to 65 points,0 to 56 points,0 to 52 points,0 to 76 points,0 to 64 points,and 0 to 76 points,respectively.The area under the curve of ROC,sensitivity and specificity of the model for predicting postoperative recurrence were 0.928(95%CI:0.875 to 0.948),85.92%and 88.89%,respectively.There was no significant difference between the predicted probability of postoperative recurrence and the actual probability(P>0.05).The threshold probability of postoperative recurrence predicted by the model in the range of 4%to 92%could obtain clinical net benefit.Conclusion The predictive factors of recurrence after otoendoscopic surgery in CSOM patients include combined with recurrent upper respiratory tract infections,combined with chronic rhinosinusitis,combined with adenoid hypertrophy,MERI score,ETDQ-7 score and inadequate drainage of the surgical cavity,the risk quantified nomogram model based on these factors is highly effective in predicting postoperative recurrence.

Objective To analyze the association between lifestyle and the risk of type 2 diabetes(T2D)among adult residents.Methods The data was sourced from the Shanghai Suburban Adult Cohort and Biobank.A total of 42 096 adult residents who had not developed T2D were recruited from four districts of Shanghai(Songjiang,Jiading,Minhang,and Xuhui)between 2016 and 2019.The follow-up ended on Feb 28,2023.A structured questionnaire was used to collect information on six lifestyle-related items,including smoking,alcohol consumption,BMI,waist circumference(WC),physical activity,and diet.The unhealthy lifestyle scores(UHLS)were calculated by counting the number of all the unhealthy lifestyle items,with a range of 0-6.New-onset T2D events diagnosed by physicians were obtained through the medical information system.Cox proportional hazards regression model and restricted cubic spline model were utilized to evaluate the association between unhealthy lifestyles and the risk of T2D incidence.Results About 28.1%of the participants led 4-6 unhealthy lifestyles.A total of 1 752 new T2D cases were identified during 218 513.4 person-years of follow-up.Analysis of single unhealthy lifestyle showed that abnormal WC(HR=1.5,95%CI:1.4-1.7)and abnormal BMI(HR=1.3,95%CI:1.2-1.5)were associated with an increased risk of T2D.Compared with individuals with a UHLS of 0-1,those with a UHLS of 3 and 4-6 had 30%(95%CI:1.1-1.6)and 50%(95%CI:1.2-1.8)higher risks of T2D,respectively.Each additional unhealthy lifestyle was associated with a 10%increase in T2D incidence risk(HR=1.1,95%CI:1.1-1.2).Conclusion The risk of T2D in adult residents increases with the cumulative number of unhealthy lifestyles.Adult residents with abnormal WC or BMI,or have three or more unhealthy lifestyles accumulated,will increase the risk of new-onset T2D.