[Purpose]To analyze the compliance of liver cancer clinical screening and related in-fluencing factors in Inner Mongolia from 2016 to 2018.[Methods]The liver cancer screening pro-gram was conducted among permanent residents aged 40～74 years old in Inner Mongolia from 2016 to 2018.The risk factor assessment questionnaire was used for primary screening,and the identified high-risk subjects of liver cancer were subject to undergo clinical screening including ul-trasound examination and serum AFP test.The clinical screening rate of high-risk subjects and de-tection rate were calculated and compared among different groups.Multivariate Logistic regression model was used to analyze influencing factors related to the clinical screening rate of liver cancer.[Results]A total of 70 109 residents completed questionnaires risk assessments from 2016 to 2018,and 11 211 subjects were identified as high-risk of liver cancer with the high-risk rate of 15.99％.Among 11 211 high-risk subjects,4 998 underwent clinical screening with a screening rate of 44.58％.There were 125 cases of AFP positive(2.50％),11 cases of occupying lesions in the liver(0.22％),6 cases of cirrhosis(0.12％),and 2 303 cases of fatty liver(46.08％).Multivariate Logistic regression analysis showed that female,age of 45～54 years old,Mongolians and other ethnic minorities,individuals with vegetables intake＜2.5 kg/week and ≥2.5 kg/week,high-fat diet,history of smoking,smoking,alcohol drinking,history of tea-drinking,history of psychologi-cal trauma and stress in recent years,diseases of hepatobiliary system,and chronic hepatitis B were more likely to participate in clinical screening(all P＜0.05).[Conclusion]The screening com-pliance of high-risk population for liver cancer is low but the detection rate is high in Inner Mongo-lia from 2016 to 2018.The program mechanism should be improved to increase the liver cancer screening compliance.

Objective:To analyze the genetic characteristics of the prevalent strains of Varicella-Zoster virus (VZV) in the population of Dali, Yunnan, and to understand its evolutionary status in the population of Dali.Methods:Herpes fluid and 163 sera were collected from 249 patients clinically suspected to have varicella or herpes zoster in the Department of Dermatology of the Second People′s Hospital of Dali city, Yunnan province, China, from 2023 to 2024. The levels of VZV-specific IgG and IgM antibodies in serum were detected using enzyme-linked immunoassay. Viral DNA was extracted from the herpes fluid, and the cycle threshold ( Ct) of the samples was detected using quantitative real-time polymerase chain reaction (qPCR), and some samples with Ct ≦ 22 were selected for sequencing by next-generation sequencing technology (next-generation sequencing). Next-generation sequencing (NGS) was used to obtain 90 whole genome sequences of VZV, and the sequencing result were compared with the sequences of reference strains for multiple sequence comparison and evolutionary analysis. Snapgene was used to translate the nucleotides into amino acids, and the result were compared with the amino acid sequences of the reference strain. Results:Of the 90 VZV whole-genome sequences, one whole-genome sequence was from an adult varicella patient, and the remaining 89 whole-genome sequences were from herpes zoster patients. The serum-specific IgG antibody positivity rate was 99.4%, and the IgM antibody positivity rate was 52.8%. The result of both single nucleotide polymorphism (SNPs) site typing and genome-wide phylogenetic tree analysis showed that 83 of the 90 VZV whole-genome sequences in this study were on the same branch as Clade 2, and 7 VZV whole-genome sequences were on the branch of Clade 9.Conclusions:The main endemic branch in Dali region in 2023-2024 was Clade 2, with the emergence of Clade 9 branch; there were amino acid mutations in the proteins encoded by ORF22 and ORF68 in 83 VZV whole genome sequences of Clade 2 branch, and the mutations did not cause significant changes to the protein structure.

Objective To compare the macular retinal thickness characteristics of diabetic kidney disease(DKD)patients with different blood pressure levels and explore the relationship between blood pressure and macular retinal damage in DKD patients.Methods A total of 435 DKD patients were selected and divided into four groups based on medical history and blood pressure:the non-hypertensive group(NH group,n=100),the well-controlled blood pressure group(G0 group,n=176),the grade 1 hypertension group(G1 group,n=118)and the grade 2 hypertension group(G2 group,n=41).General information,routine laboratory test results as well as the average thickness of the macular retinal nerve fiber layer(RNFL),ganglion cell layer(GCL),ganglion cell complex(GCC),choroidal layer(CL)and central macular retinal thickness(CMT)were compared between the four groups.The correlation between macular retinal thickness in both eyes and clinical data was analyzed.Results Compared with the G1 group and the G2 group,the G0 group had a longer duration of hypertension.Compared to the NH group,the G2 group had higher fasting plasma glucose(FPG).Compared to the G0 group,the G1 group and the G2 group had higher FPG,and the G2 group had higher glycated hemoglobin(HbA1c)and lower estimated glomerular filtration rate(eGFR).Compared to the NH group,the G0 group had decreased thickness in the GCL and GCC(P<0.05).The macular retinal thickness of the GCL and GCC in both eyes was negatively correlated with diastolic blood pressure(r=-0.158 and-0.195,respectively,P<0.05).Conclusion Macular retinal thickness is helpful in assessing the long-term effects of hypertension on optic nerve and microvascular damage in DKD patients.

Objective To explore the regulatory role of N-methyl berbamine(N-MB)in intracellular calcium homeostasis in H9c2 car-diomyocytes,and,thereby,clarify the possible mechanism of the myocardial protective effect of N-MB.Methods Binding of N-MB to CaV1.2 channels was simulated using the MOE software,and the binding affinity and binding mode were determined.The hCaV1.2 gene was transfected into HEK293 cells,and the effect of N-MB(30 μmol/L)on the CaV1.2 current was detected using the whole-cell patch clamp technique.In addition,a Fluo 3-AM fluorescent probe was loaded into H9c2 cardiomyocytes,and the effect of N-MB(3,30 μmol/L)on intracellular calcium ion concentration was observed under a laser confocal microscope.The effect of N-MB(3,30 μmol/L)on the expression of Ca2+regulation-related genes Cacna1c,Cacnb2,Ryr2,Serca2a,and Ncx1 in H9c2 cardiomyocytes was examined using real-time quantitative PCR.Results N-MB was predicted to bind to CaV1.2 channels.The binding sites mainly involved Phe1191,Thr1420,and Asn771,and the binding modes were H-donor,pi-pi,and pi-H.N-MB(30 μmol/L)significantly inhibited CaV1.2 currents,with an inhibition rate of 76.09％±7.41％.The fluorescence intensity of intracellular Ca2+level in H9c2 cardiomyocytes was significantly enhanced with N-MB treatment(3,30 μmol/L,P＜0.01).Compared with the control group,differences in the expression of Cacna1c,Serca2a,and Ncx1 in H9c2 cardiomyocytes were not significant after N-MB(3,30 μmol/L)intervention(P＞0.05),whereas the expression of Cacnb2 significantly reduced(P＜0.001)and the expression of Ryr2 significantly increased(P＜0.05).Conclusion N-MB binds to CaV1.2 calcium channels.N-MB may regulate intracellular calcium homeostasis by inhibiting calcium currents by decreasing the gene expression of CaV1.2 calcium channels.Additionally,N-MB may also increase intracellular Ca2+concentration by promoting the expression of Ryr2,which could be the mechanism underlying the myocardial protective effect of N-MB.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective Piperazine derivatives are a group of emerging psychoactive substances with excitatory and hallucinogenic effects on the central nervous system.This study established a high-performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)screening method for the detection of 40 piperazine compounds in urine.Methods A 200 μL urine sample(spiked with an internal standard at 1 ng/mL)was subjected to liquid-liquid extraction with ethyl acetate.After nitrogen evaporation,the residue was redissolved in 200 μL methanol and injected for analysis.Separation was performed on a Waters Acquity UPLC? HSS T3 column(100 mm × 2.1 mm,1.8 μm).The mobile phase consisted of(A)20 mmol/L ammonium acetate buffer containing 0.1％formic acid and 5％acetonitrile,and(B)acetonitrile.Gradient elution was applied,and detection was carried out in multiple reaction monitoring(MRM)mode.Quantification was achieved using an internal standard calibration curve.Results The 40 piperazine substances demonstrated good linearity within the range of 1-50 ng/mL,with correlation coefficients of 0.995-0.998.The extraction recovery ranged from 51.51％to 104.1％.Intra-day precision was below 5％,while inter-day precision ranged from 1.61％to 10.17％.Accuracy was between-7.84％and 8.77％.The limits of detection were 0.2-1 ng/mL,and the limit of quantification was 1 ng/mL.Conclusion The proposed method requires only a small sample volume,exhibits high sensitivity,selectivity,and stability,and offers short run times.It is suitable for the qualitative and quantitative determination of piperazine derivatives in urine in forensic toxicology practice.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To summarize the risk prediction models for postoperative hypoxemia and provide a reference for clinical nursing practice and future research on hypoxemia risk prediction models for postoperative patients.Methods:A systematic literature search was conducted in CNKI, CBM, Wanfang, PubMed, Web of Science Core Collection, Cochrane Library, Embase, and CINAHL databases, covering publications up to January 31, 2024. Two researchers independently screened the literature, extracted data, performed integrative analysis, and evaluated the risk of bias in the included studies.Results:Seventeen studies were included, involving 17 different prediction models. The study populations were primarily adult patients, with hypoxemia incidence rates ranging from 2.40% to 49.30%. Modeling methods included Logistic regression and decision tree algorithms. The presentation formats of the models included risk scoring formulas, nomograms, decision tree diagrams, and web calculators. The five most frequently identified predictive factors were body mass index, age, comorbidities, duration of intraoperative cardiopulmonary bypass, and preoperative white blood cell count. Sixteen models reported the area under the receiver operating characteristic curve ranging from 0.667 to 0.916. All 17 studies exhibited varying degrees of bias risk.Conclusions:Existing risk prediction models for postoperative hypoxemia demonstrate good performance; however, the bias risk level of all studies was high. Future research should standardize the model development process according to bias risk assessment checklists to establish models with low bias risk and strong clinical applicability.

This article provides an overview of ecological momentary assessment based on mobile information devices. It reviews the design frameworks, domestic and international research progress, and the challenges associated with its application. The study aims to offer insights and reference methods for developing electronic ecological momentary assessment platforms in China.

Objective To compare the macular retinal thickness characteristics of diabetic kidney disease(DKD)patients with different blood pressure levels and explore the relationship between blood pressure and macular retinal damage in DKD patients.Methods A total of 435 DKD patients were selected and divided into four groups based on medical history and blood pressure:the non-hypertensive group(NH group,n=100),the well-controlled blood pressure group(G0 group,n=176),the grade 1 hypertension group(G1 group,n=118)and the grade 2 hypertension group(G2 group,n=41).General information,routine laboratory test results as well as the average thickness of the macular retinal nerve fiber layer(RNFL),ganglion cell layer(GCL),ganglion cell complex(GCC),choroidal layer(CL)and central macular retinal thickness(CMT)were compared between the four groups.The correlation between macular retinal thickness in both eyes and clinical data was analyzed.Results Compared with the G1 group and the G2 group,the G0 group had a longer duration of hypertension.Compared to the NH group,the G2 group had higher fasting plasma glucose(FPG).Compared to the G0 group,the G1 group and the G2 group had higher FPG,and the G2 group had higher glycated hemoglobin(HbA1c)and lower estimated glomerular filtration rate(eGFR).Compared to the NH group,the G0 group had decreased thickness in the GCL and GCC(P<0.05).The macular retinal thickness of the GCL and GCC in both eyes was negatively correlated with diastolic blood pressure(r=-0.158 and-0.195,respectively,P<0.05).Conclusion Macular retinal thickness is helpful in assessing the long-term effects of hypertension on optic nerve and microvascular damage in DKD patients.