Objective: To propose an improved method for constructing the internal quality control (IQC) framework for ELISA assays and validate its efficacy by statistically analyzing IQC data from nine blood center laboratories. Methods: 1) IQC data was collected from nine blood centers and analyzed using a domestic HBsAg ELISA detection kit as an example. 2) Differences between IQC values across batches within Blood Center 1 were assessed. 3) Statistical analyses were performed on batch usage, number of batches used, days of use, number of QC points, batch-specific means, and coefficients of variation (CV) across all nine centers. 4) Using the improved construction method for IQC framework, provisional and permanent frames were established for batches within Blood Center 1 and Blood Center 9, followed by outlier determination. Results: 1) Statistically significant differences were observed in IQC data between batches within Blood Center 1 (P<0.01). It is recommended that both the control material/reagents and the control chart framework be replaced simultaneously. 2) There were substantial differences among 9 blood centers regarding the control material/reagent lot numbers used, the number of QC runs per batch, and the QC values for identical lots. Therefore, individual laboratories should establish their own IQC chart frameworks. 3) The improved IQC framework construction method for ELISA assays is as follows: provisional frames are established via frame-shifting, using the pre-experimental mean and cumulative coefficient of variation (CV) from the preceding batch. For batches used >20 days with >20 QC points, permanent frames are constructed by aggregating in-control data accumulated over ≥20 days with ≥20 points to calculate cumulative mean and standard deviation. The provisional and permanent frames constructed by this method identified all 26 extreme outliers across Blood Centers 1 and 9 as out-of-control. Among the 218 general outliers, 10 were classified as normal by the provisional frames, while the remainder were designated as warnings or out-of-control. This method effectively monitors assay stability. Conclusion: Based on the statistical analysis of IQC practices across blood centers of varying scales, combined with the inherent characteristics of ELISA assays and the batch-to-batch instability of reagents/QC materials, it is recommended to reconstruct QC charts upon lot changes. The proposed method—utilizing frame-shifting for provisional frames and establishing permanent frames based on cumulative data—is applicable to blood center laboratories of differing sizes and effectively monitors the stability of the ELISA assay process.

ObjectiveTo observe the effect of Xiao Qinglongtang on ferroptosis in allergic rhinitis rats and explore its specific mechanism of action. MethodsSixty SD rats were randomly divided into a blank group， a model group， a loratadine group （0.9 mg·kg^-1）， and low-， medium-， and high-dose Xiao Qinglongtang groups （2.14， 4.28， and 8.56 g·kg^-1）， 10 rats per group. After 2 weeks of drug treatment， behavioral scores were observed in 6 groups of rats. Hematoxylin-eosin （HE） staining was used to observe changes in nasal mucosal tissue morphology， and Prussian blue staining was used to observe iron deposition. Enzyme-linked immunosorbent assay （ELISA） was used to detect reactive oxygen species （ROS）， Fe²⁺ ions， malondialdehyde （MDA）， superoxide dismutase （SOD）， and glutathione peroxidase （GSH） in each group. Immunofluorescence assay was used to detect ROS content and sirtuin 1 （SIRT1） expression in nasal mucosal tissue. Western blot was used to detect the expression of SIRT1， solute carrier family 7 member 11 （SLC7A11）， p53 acyl-CoA synthetase long-chain family member 4 （ACSL4）， and glutathione peroxidase 4 （GPX4） proteins in nasal mucosal tissue. ResultsCompared with the blank group， the model group exhibited obviously increased behavioral scores， severe nasal mucosal damage， obvious increase in iron deposition， significant decreases in GSH and SOD levels， obvious increases in MDA， Fe²⁺， and ROS fluorescence area proportions （P<0.05）， decreased protein expression levels of GPX4， SLC7A11， and SIRT1， and obvious increases in p53 and ACSL4 expression （P<0.05）. Compared with the model group， Xiao Qinglongtang groups of all doses showed reduced rat behavioral scores， obviously improved nasal mucosal damage， obviously reduced iron deposition （P<0.05）， obviously increased GSH and SOD levels， obviously reduced MDA， Fe²⁺， ROS fluorescence area proportions （P<0.05）， increased GPX4， SLC7A11， and SIRT1 protein expression levels， and obviously reduced p53 and ACSL4 （P<0.05）. ConclusionXiao Qinglongtang may achieve the goal of treating allergic rhinitis by regulating the SIRT1/SLC7A11 signaling pathway and inhibiting lipid peroxidation and ferroptosis.

Objective:To explore the diagnostic value of digital mammography combined with serum glutathione specific gamma-glutamyl transpeptidase 1(CHAC1)and retinoic acid-induced protein 14(RAI14)in identifying benign and malignant breast masses.Methods:A total of 189 patients with breast masses who were treated at Handan Maternal and Child Health Care Hospital from June 2019 to June 2024 were prospectively selected as the research subjects.According to the results of pathological biopsy,they were divided into benign mass group(128 cases)and malignant mass group(61 cases).All patients underwent digital mammography detection.The levels of serum CHAC1 and RAI14 were detected by enzyme-linked immunosorbent assay(ELISA).The general clinical data of the patients were collected and analyzed.Multivariate logistic regression analysis was used to analyze the factors of influencing benign and malignant nature of breast masses.The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of CHAC1 and RAI14 for the benign and malignant nature of breast masses.The Kappa test was used to assess the consistency of results between each diagnostic method and the pathological detection.Results:For 189 patients with breast masses,digital mammography identified 56 cases of malignant masses and 133 cases of benign masses,and 13 cases of them were misdiagnosis and 18 cases of them were missed diagnosis.It showed a moderate consistency with the results of pathological detection(Kappa=0.617,P<0.05).Compared with the benign mass group,the levels of serum CHAC1 and RAI14 in the malignant mass group were significantly higher,and the differences of them between the two groups were statistically significant(t=12.249,12.512,P<0.05).The age,menopausal time,CHAC1 and RAI14 of the patients were all risk factors that can affect the benign and malignant nature of breast masses(OR=1.368,1.305,1.897,1.995,P<0.05).The area under curve(AUC),sensitivity and specificity of CHAC1 were respectively 0.816(95%CI:0.753～0.868),70.49%and 89.06%in diagnosing the benign and malignant nature of breast masses.These indicators of RAI14 were respectively 0.838(95%CI:0.778～0.888),68.85%and 89.84%in diagnosing the benign and malignant nature.The combined detection of the three methods identified 74 cases of malignant masses and 115 cases of benign masses,with 15 cases of misdiagnosis and 2 cases of missed diagnosis,which showed an extremely high consistency with the results of pathological detection(Kappa=0.805,P<0.001).The sensitivity(96.72%),negative predictive value(98.26%)and accuracy(91.01%)of the combined detection of digital mammography,serum CHAC1 and RAI14 were significantly higher than those of each alone detection of them,and the differences of them were significant(x2=15.310,16.623,15.310,11.690,12.402,11.572,5.276,5.276,4.677,P<0.05).Conclusion:The levels of serum CHAC1 and RAI14 appear increase in malignant breast masses,and digital mammography combined with serum CHAC1 and RAI14 has a certain of identification value for benign and malignant nature of breast masses.

Objective:To analyze the clinical value of translocator protein (TSPO, 18kDa) radiotracer 18F- N, N-diethyl-2-(2-(4-(2-fluoroethoxy)-phenyl)-5, 7-dimethyl-pyrazolo[1, 5-a]pyrimidin-3-yl)-acetamide (DPA-714) PET/MR imaging for precise localization of epileptogenic zone in patients with drug-resistant epilepsy. Methods:From December 2022 to October 2023, 24 refractory epilepsy patients (12 males and 12 females, age (27.5±8.1) years) who underwent surgery in Xuanwu Hospital, Capital Medical University were retrospectively enrolled. All patients received hybrid 18F-DPA-714 PET/MR before surgery, with the surgical resection site and stereoelectroencephalography recordings of the seizure focus serving as the gold standard. Initial qualitative analysis of the images was performed, followed by semi-quantitative analysis using the ROI method to calculate the asymmetry index (AI) of the proposed epileptogenic zone, assessing the degree of increased abnormal uptake (area with AI>10% was considered as the epileptogenic zone). Follow-up assessment using the Engel classification was conducted at least one year postoperatively. Differences of lesion detection efficiency of conventional MRI and PET/MR were evaluated using McNemar test. Results:Among 24 enrolled patients, 13 cases (54.2%) showed positive findings on conventional MRI, while 21 cases (87.5%) exhibited single or multiple foci of abnormally increased tracer uptake on PET/MR imaging, indicating an improved lesion detection rate ( χ2=4.90, P=0.021). Of the MRI-positive patients, 12/13 also had positive findings on PET/MR, with a localization accuracy of 10/13. Among the MRI-negative patients, 9/11 showed positive PET/MR findings, with a localization accuracy of 6/11. At one year post-surgery, 75.0%(18/24) of patients had a favorable outcome (Engel Ⅰ). Conclusion:18F-DPA-714 PET/MR imaging can accurately locate epileptogenic foci, especially for MRI-negative lesions, providing reliable information for surgical planning to improve postoperative outcomes.

A convenience sampling method was employed to recruit 445 food service employees from 67 Chinese restaurants across all 16 administrative districts of Beijing City from August to December in 2022. A questionnaire survey was conducted to assess their knowledge, attitudes, and behaviors regarding salt reduction and hypertension. The results revealed that awareness was highest for the statement "Hypertensive patients should reduce salt intake" (88.3%), while awareness of "China′s diagnostic criteria for hypertension" was the lowest (23.8%). Positive attitude endorsement rates were 96.0% for willingness to reduce salt, 95.3% for perceived self-efficacy in salt reduction, and 93.0% for agreement with a low-salt diet. Regarding behaviors, the rates of actively reducing salt when ordering takeout or dining out, using low-sodium salt, and using salt-reducing spoons were 73.7%, 45.4%, and 55.5%, respectively. The overall compliance rate for salt-reduction related behaviors was 73.9%. Multivariable logistic regression analysis demonstrated that: compared to the 18-29 age group, employees aged 30-39 ( OR=2.19, 95% CI: 1.16-4.14), 40-49 ( OR=3.36, 95% CI: 1.52-7.42), and 50-59 ( OR=3.25, 95% CI: 1.25-8.50) were significantly more likely to achieve compliance with salt-reduction behaviors; chefs were significantly more likely to achieve behavioral compliance compared to managerial staff ( OR=2.08, 95% CI: 1.08-3.98); employees in catering with adequate knowledge about salt reduction and hypertension were significantly more likely to exhibit behavioral compliance compared to those with inadequate knowledge ( OR=3.32, 95% CI: 1.83-5.92); employees in catering with positive attitudes towards salt reduction were significantly more likely to achieve behavioral compliance compared to those with negative attitudes ( OR=5.81, 95% CI: 2.05-16.43). In conclusion, food service employees in Beijing exhibit insufficient knowledge about salt intake and hypertension. While they demonstrate strong willingness to reduce salt, this does not consistently translate into action. Compliance with salt-reduction behaviors is influenced by age, education level, and job position. There is an urgent need to strengthen the dissemination of knowledge regarding high salt intake and hypertension and to implement personalized interventions targeting salt-reduction behaviors and skills.

Objective To explore the application value of MR MAGiC sequence reconstructed based on deep learning reconstruction(DLR)for localizing epileptogenic focus of intractable epilepsy.Methods Fifty intractable epilepsy patients(epilepsy group)and 20 healthy controls(control group)were retrospectively collected.Brain MR MAGiC sequence was scanned,then traditional reconstruction(inverse Fourier transform)and DLR algorithm were performed to obtain MAGiC and MAGiC DLR images,respectively.The corresponding quantitative parameter maps were generated after post-processing,including T1 mapping,T2 mapping and proton density(PD)mapping.The subjective scores of noise,artifacts,structural clarity and overall quality were compared between two kinds of quantitative parameter images.The asymmetry index(AI)of quantitative parameters(T1,T2 and PD values)between the affected side and the contralateral side in epilepsy group,the contralateral side or the suspected epileptogenic focus in epilepsy group and HC group were calculated.Then epileptogenic focus were localized based on performance of MAGiC and MAGiC DLR corresponding quantitative parameter maps combining obtained AI of quantitative parameter values.According to surgical results,follow-up review,electroencephalogram or PET results,the accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was calculated.Results Compared with MAGiC quantitative parametric maps,noise of MAGiC DLR quantitative parametric maps reduced,while subjective scores of structure clarity and overall quality improved(all P＜0.05).The accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was 82.00％(41/50)and 88.00％(44/50),respectively.Conclusion MR MAGiC sequence based on DLR was beneficial for improving accuracy of localizing epileptogenic focus in intractable epilepsy.

Objective To explore the influencing factors of compliance with new oral anticoagulants(NOACs)in elderly patients with nonvalvular atrial fibrillation(NVAF)and its correlation with social support.Methods The clinical data of 126 patients with NVAF treated by NOACs in Lu 'an People's Hospital of Anhui Province from January 2022 to January 2024 were selected by convenient sampling method.General data of patients were collected.According to Morisky medication compliance scale,patients were divided into two groups:the good compliance group(n=74)and the poor compliance group(n=52).Social support was investigated by Social Support Rating Scale(SSRS).General data of patients were compared between the good compliance group and the poor compliance group.The relationship between medication compliance and social support was analyzed by Pearson correlation.Multivariate Logistic regression was used to analyze the influencing factors of patient medication compliance.Results There were statistically significant differences in educational level,the proportion of patients with anxiety and depression,CHA2DS2-VASc score,HAS-BLED score and SSRS score between the good compliance group and the poor compliance group(P＜0.05).The results of the correlation analysis showed that the medication compliance of patients was positively correlated with objective support(r=0.461),subjective support(r=0.432),support utilization(r=0.323)and SSRS score(r=0.596,P＜0.05).The results of multivariate Logistic regression analysis showed that low educational level,accompanied by anxiety,low HAS-BLED and SSRS scores were risk factors for poor medication compliance in elderly NVAF patients(P＜0.05).Conclusion Improving the social support level of elderly patients with NVAF is conducive to the formation of good medication compliance.

Objective:To investigate alterations in static regional homogeneity(ReHo) and dynamic regional homogeneity (dReHo) and glucose metabolism in MRI-negative refractory temporal lobe epilepsy (TLE) patients using resting-state PET-MRI, and to evaluate their efficacy in predicting surgical outcomes.Methods:This study was a cross-sectional design. A retrospective analysis was conducted on the clinical and imaging data of 30 patients with MRI-negative refractory TLE (patient group) treated at Xuanwu Hospital, Capital Medical University, between 2016 and 2020, and data from 30 healthy controls (control group). All MRI-negative refractory TLE patients underwent surgical treatment and were further divided into a good prognosis subgroup (Engel Class I, 16 cases) and a poor prognosis subgroup (Engel Class Ⅱ-Ⅳ, 14 cases) based on postoperative Engel classification. Analysis of variance was used to compare differences in static ReHo, dReHo, and glucose metabolism(SUVR) among the three groups. The correlation of static ReHo, dReHo, and SUVR values of differential brain regions with Engel grading was analyzed using Spearman. A support vector machine (SVM) model was constructed using the static ReHo, dReHo, and SUVR values from these differential regions to classify and predict patient prognosis. The predictive performance was evaluated using receiver operating characteristic curves and the area under the curve (AUC).Results:Differential dReHo regions among the good prognosis subgroup, poor prognosis subgroup, and control group were located in the right lateral middle temporal gyrus temporal pole, the right fusiform gyrus, the right insula subfrontal gyrus, the left cuneate lobe, the right medial and paracortical cingulate gyrus, and the right supraparietal gyrus; the differential static ReHo regions were primarily found in the bilateral inferior temporal gyrus, the supraparietal gyrus, and the right subfrontal gyrus, the left medial supraparietal gyrus, the left median frontal gyrus, and the right marginal supraparietal gyrus; SUVR differences were in the affected superior, middle and inferior temporal lobes, the internal olfactory cortex and the temporal pole region. dReHo of right middle temporal gyrus temporal pole in patients with MRI-negative TLE showed a positive correlation with Engel classification ( r=0.421, P=0.020). The SVM model based on dReHo combined with SUVR values classified patients with good and poor prognosis with an AUC of 0.825 and an accuracy of 73.3%. Conclusions:In MRI-negative refractory TLE patients, abnormal dReHo regions are predominantly located in the contralateral default mode network areas and are associated with Engel classification. Combined with glucose metabolism values, dReHo can predict postoperative outcomes in MRI-negative TLE patients.

Objective To investigate the association between body roundness index(BRI)and hyperuricemia(HUA)in patients with type 2 diabetes mellitus(T2DM).Methods 555 T2DM inpatients were selected from July 2022 to October 2023 in Gansu Province People's Hospital Endocrinology.According to BRI,the T2DM patients were divided into four group:low BRI(L-BRI,BRI≤3.579,n=140)group,moderate BRI(M-BRI,3.579

Objective To investigate the effects of obesity-related indexes on cardiovascular autonomic nervous function in type 2 diabetes mellitus(T2DM)patients.Methods A total of 421 T2DM patients treated in the Department of Endocrinology of Gansu Provincial People's Hospital were enrolled in this study from October 2020 to October 2023.All the patients were divided into simple T2DM group with VFA<100 cm2(n=193)and obese group with VFA≥100 cm2(OB,n=228)according to visceral fat area(VFA).BMI,waist-to-height ratio(WHtR),waist-to-hip ratio(WHR),lipid accumulation index(LAP),visceral fat index(VAI),Chinese visceral fat index(CVAI),tapeness index(CI),body shape index(ABSI),and body roundness index(BRI)were calculated.Time domain parameters of heart rate variability(HRV)in 24 h holter electrocardiogram were recorded,including the global standard deviation(SDNN)of normal sinus RR interval,standard deviation of mean value of sinus RR interval(SDANN),root mean square difference(RMSSD)of normal continuous sinus RR interval.The percentage of adjacent RR interval difference>50 ms in total interval(PNN50),the HRV triangle index,the standard deviation of the difference of the entire adjacent NN interval length(SDSD).Results Compared with T2DM group,the OB group showed an increase in age,weight,BMI,WC,hip circumference(HC),neck circumference(NC),SBP,HbA1c,TG,SUA,CI,WHtR,WHR,VFA,SFA,VAI,LAP,CVAI,and BRI(P<0.05 or P<0.01),while a decrease in HDL-C(P<0.05).The SDNN,SDANN,SDSD,RMSSD,HRV trigonometric index,and PNN50 were lower in OB group than in T2DM group(P<0.05 or P<0.01).Spearman correlation analysis showed that SDNN and HRV trigonometric index was negatively correlated with age,DM duration,HR,SBP,PWV,WHtR,TG,SUA,VAI,LAP,BRI,VFA,LAP,and CVAI(P<0.05 or P<0.01).Logistic regression analysis shows that age,VFA,and LAP are influencing factors for cardiac autonomic dysfunction.The analysis of the working characteristic curve of the subjects showed that the area under the curve of VFA,age,and LAP in predicting cardiovascular autonomic dysfunction was 0.680,0.614,and 0.577,with sensitivity of 87.5%,41.7%,and 61.8%,and specificity of 47.3%,73.6%,and 55.6%respectively.Conclusions BMI,HC,NC,WC,TG,SFA,CI,WHtR,WHR,LAP,BRI,VAI,CVAI and VFA are closely related to cardiovascular autonomic nervous function in T2DM patients.As VFA,Ageand LAP increase,the risk of cardiovascular autonomic dysfunction increases.