AIM To establish a quantitative analysis of multi-components by single-marker(QAMS)method for the simultaneous content determination of gastrodin,parishin E,syringin,parishin B,parishin C,ferulic acid,parishin A,buddleoside,harpagoside and cinnamic acid in Tianma Toufengling Capsules.METHODS The analysis was performed on a 30℃thermostatic GL Science InertsilTM ODS-3 column(150 mm×4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1%phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 220,280 nm.Syringin was used as an internal standard to calculate the relative correction factors of the other nine constituents,after which the content determination was made.RESULTS Ten constituents showed good linear relationships within their own ranges(r≥0.999 7),whose average recoveries were 98.53%-102.22%with the RSDs of 1.26%-2.68%.The result obtained by QAMS approximated those obtained by external standard method.CONCLUSION This accurate and specific method can be used for the quality control of Tianma Toufengling Capsules.

Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93％and a HCV positive rate of 0.54％.The positive rate of HCV in male and female patients were 0.60％and 0.48％,respectively,with a statistically sig-nificant difference(x2=47.18,P＜0.001).The HCV positive rate in the 50-＜60 age group was the highest(0.76％),followed by the 40-＜50 age group(0.71％).Difference among all age groups was statistically signifi-cant(x2=696.74,P＜0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57％;775 patients were infected with HCV,with a positive rate of 2.21％.In 2020,HCV positive rates in hospitals of different scales were 0.46％-0.63％,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P＜0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19％-0.81％,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06％-0.82％,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95％and 3.48％,respectively.Followed by departments of orthopedics(7.72％),gastroenterology(3.77％),nephrology(3.57％)and general intensive care unit(ICU,3.10％)in 2003,as well as departments of gastroenterology(1.35％),nephrology(1.18％),endocrinology(0.91％),and general intensive care unit(ICU,0.79％)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.

Objective To explore the feasibility of quantitative EEG parameters for prognostic prediction of patients with severe aneurysmal subarachnoid hemorrhage(SaSAH)90 d after the onset of the disease.Methods Patients with SaSAH admitted to the Neurosurgical Intensive Care Unit(NSICU)of Henan Provincial People's Hospital from September 2022 to September 2023 were prospectively consecutively enrolled,and baseline data were collected,including age,gender,medical history(hypertension,diabetes mellitus,coronary artery disease,and stroke),history of smoking,history of drinking,location of aneurysm(anterior circulation,posterior circulation),surgical modality(craniotomy,interventional surgery,hybrid surgery),Hunt-Hess classification,Glasgow coma scale(GCS)score,acute physiology and chronic health status scoring system Ⅱ(APACHE Ⅱ)score,subarachnoid hemorrhage early brain edema score(SEBES),first randomized blood glucose level after admission to NSICU,lactate level,and duration of NSICU stay.Quantitative EEG monitoring was performed in all patients within 48 h after admission to the NSICU,and amplitude-integrated electroencephalogram(aEEG)upper and lower boundaries,95％spectral edge frequency(SEF95),α change,(δ+θ)to(α+β)power ratio(DTABR),brain symmetry index(BSI),and spectral entropy were collected.Based on modified Rankin scale(mRS)scores 90 d after onset,patients were categorized into good prognosis(mRS score 2 points)and poor prognosis(mRS score 3-6 points)groups.Spearman rank correlation was used to analyze the correlation between quantitative EEG parameters and mRS scores in SaSAH patients.Multifactorial Logistic regression analysis was used to screen for correlates of poor prognosis,and receiver operating characteristic(ROC)curves were plotted to evaluate the efficacy of each index in predicting patients'poor prognosis.Results(1)A total of 72 patients with SaSAH were included,with 47 in the poor prognosis group and 25 in the good prognosis group,and the poor prognosis rate at 90 d after the onset was 65.3％.There was no statistically significant difference between the two groups in terms of gender,age,hypertension,diabetes mellitus,coronary artery disease,history of stroke,history of smoking,history of drinking,location of aneurysm,surgical modality,lactate level,and length of hospitalization in the NSICU(all P＞0.05);the differences between the Hunt-Hess grading,SEBES,and random blood glucose were statistically significant upon comparison(all P＜0.05).Compared with the good prognosis group,the changes of aEEG upper and lower boundary,SEF95,α change and spectral entropy were lower in the poor prognosis group,but DTABR and BSI were higher(all P＜0.05).(2)Spearman rank correlation analysis showed that the upper border of aEEG(r=-0.41,P＜0.01),lower border of aEEG(r=-0.54,P＜0.01),SEF95(r=-0.46,P＜0.01),α change(r=-0.53,P＜0.01)and spectral entropy(r=-0.39,P＜0.01)were negatively correlated with the mRS scores of SaSAH patients,and DTABR(r=0.52,P＜0.01)and BSI(r=0.33,P＜0.01)were positively correlated with poor prognosis of SaSAH patients.(3)The results of multifactorial Logistic regression analysis showed that Hunt-Hess grading(level Ⅳ vs.Ⅲ:OR,1.203,95％CI 1.005-1.441,P=0.044;level V vs.Ⅲ:OR,1.661,95％CI 1.109-2.487,P=0.014),SEBES(OR,1.647,95％CI 1.050-2.586;P=0.030),aEEG lower border(OR,0.687,95％CI 0.496-0.953l;P=0.024),SEF95(OR,0.436,95％CI0.202-0.937;P=0.034),α change(OR,0.368,95％CI0.189-0.717;P=0.003),DTABR(OR,1.324,95％CI 1.064-1.649;P=0.012),and BSI(OR,1.513,95％CI 1.026-2.231;P=0.036)were influencing factors of poor prognosis in SaSAH patients.ROC curve analysis showed that all of the above seven indicators had a certain predictive value for poor prognosis in SaSAH patients,among which the area under the curve of DTABR was the highest as 0.862(95％CI 0.761-0.932),with sensitivity 85.11％and specificity 80.00％.Conclusion Quantitative EEG parameters aEEG lower border,SEF95,α change,DTABR,and BSI may have certain predictive value for the short-term prognosis of SaSAH patients,which needs to be further confirmed in future multi-center large-sample studies.

Objective Genotypes(G)1,3,and 5 of the Japanese encephalitis virus(JEV)have been isolated in China,but the dominant genotype circulating in Chinese coastal areas remains unknown.We searched for G5 JEV-infected cases and attempted to elucidate which JEV genotype was most closely related to human Japanese encephalitis(JE)in the coastal provinces of China. Methods In this study,we collected serum specimens from patients with JE in three coastal provinces of China(Guangdong,Zhejiang,and Shandong)from 2018 to 2020 and conducted JEV cross-neutralization tests against G1,G3,and G5. Results Acute serum specimens from clinically reported JE cases were obtained for laboratory confirmation from hospitals in Shandong(92 patients),Zhejiang(192 patients),and Guangdong(77 patients),China,from 2018 to 2020.Seventy of the 361 serum specimens were laboratory-confirmed to be infected with JEV.Two cases were confirmed to be infected with G1 JEV,32 with G3 JEV,and two with G5 JEV. Conclusion G3 was the primary infection genotype among JE cases with a definite infection genotype,and the infection caused by G5 JEV was confirmed serologically in China.

Cells are the fundamental structural and functional units of biological organisms,with inherent differences in composition and interactions with exogenous substances,known as cellular heterogeneity.Single cell inductively coupled plasma-mass spectrometry(SC-ICP-MS)allows for the high-throughput introduction of individual cells,enabling the highly sensitive detection and quantification of elements within a single cell,thus effectively providing information on cellular heterogeneity.This review outlined the SC-ICP-MS sample preparation process for different types of cells(single-cell systems,aggregation-prone and adherent cell systems,animal tissues,and plant tissues),including steps such as separation,washing,and fixation,as well as the advantages and existing issues of the current sample introduction systems and quantification methods.The recent applications of SC-ICP-MS in detecting endogenous substances(endogenous elements and proteins),exogenous substances(heavy metals,metal-based drugs and nanoparticles),and the simultaneous detection of both endogenous and exogenous substances were summarized.Finally,the perspectives on the future development of SC-ICP-MS in analytical methods and application fields were presented,including the optimization of single-cell sample preparation,transport efficiency,evaluation standards of ionization efficiency,and the establishment of multiparametric cell analysis platforms.

Objective With the widespread of transcatheter aortic valve replacement(TAVR)in patients with severe symptomatic aortic stenosis(AS),the life-cycle management has become a major determinant of prognosis.Methods A total of 408 AS patients who underwent successfully TAVR from June 2021 to August 2023 were consecutively enrolled in Hospital Valve Intervention Center.Patients were assigned to the Usual Care(UC)group between June 2021 and October 2022,while patients were assigned to the Heart Multi-parameter Monitoring(HMM)group between November 2022 and August 2023.The primary endpoint was defined as composite endpoint within 6 months post-TAVR,including all-cause death,cardiovascular death,stroke/transient ischemic attack,conduction block,myocardial infarction,heart failure rehospitalization,and major bleeding events.Secondary endpoints were the time interval(in hours)from event occurrence to medical consultation or advice and patient satisfaction.Statistical analysis was performed using Kaplan-Meier and multivariable Cox proportional hazards models.Results The incidence of primary endpoint in HMM group was significantly lower than that in UC group(8.9％vs.17.7％,P=0.016),the driving event was the rate of diagnosis and recognition of conduction block.The average time intervals from event occurrence to receiving medical advice were 3.02 h in HHM group vs.97.09 h in UC group(P＜0.001).Using cardiac monitoring devices and smart healthcare platforms provided significant improving in patients long-term management(HR 0.439,95％CI 0.244-0.790,P=0.006).Conclusions The utilization of cardiac monitoring devices and smart healthcare platforms effectively alerted clinical events and improved postoperative quality of life during long-term management post TAVR.

Objective:To construct a prognostic predictive model for patients with moderate to severe traumatic brain injury (msTBI) based on regional cerebral oxygen saturation (rScO 2) and transcranial Doppler ultrasound (TCD) monitoring parameters and validate its effectiveness. Methods:A retrospective cohort study was conducted to analyze the clinical data of 161 patients with msTBI who were treated at Henan Provincial People′s Hospital from January 2021 to December 2022, including 104 males and 57 females, aged 19-76 years [(53.1±12.8)years]. Glasgow coma scale (GCS) score was 3-12 points [(7.0±1.9)points]. Both rScO 2 and TCD monitoring were performed. Based on the results of prognostic evaluation of patients with the modified Rankin scale (mRS) score at 90 days after discharge, the patients were divided into good prognosis group (mRS score≤3 points, n=88) and poor prognosis group (mRS score of 4-6 points, n=73). The following data of the two groups were collected: the general data, clinical data, rScO 2 monitoring parameters and TCD monitoring parameters. Univariate analysis was employed to compare the differences in the relevant prognostic indicators. Multivariate Logistic stepwise regression analysis was conducted to determine the predictors of poor prognostic outcomes in msTBI patients and regression equations were constructed. A nomogram predictive model based on regression equations was drawn with R language. The discriminability of the model was evaluated by drawing the receiver operating characteristic (ROC) curve, to calculate the area under the curve (AUC), sensitivity, specificity, and Jordan index of the model, and measuring the consistency index (C index). Hosmer-Lemeshow (H-L) goodness of fit test was conducted to evaluate the fit of the model, and the calibration curve was used to evaluate the calibration degree of the model. Decision curve analysis (DCA) was employed to evaluate the clinical benefit and applicability of the model. Results:There were significant differences between the two groups in the clinical data (cerebral hernia formation, GCS on admission, acute physiology and chronic health evaluation II (APACHE II) score on admission, Rotterdam CT score on admission, oxygenation index on admission, mean arterial pressure on admission), rScO 2 monitoring parameters (mean rScO 2, maximum rScO 2, rScO 2 variability), TCD monitoring parameters [peak systolic blood flow velocity (Vs), average blood flow velocity (Vm), pulse index (PI)] ( P<0.05 or 0.01). The results of multivariate Logistic stepwise regression analysis showed that cerebral hernia formation ( OR=9.28, 95% CI 3.40, 25.33, P<0.01), Rotterdam CT score on admission ( OR=1.92, 95% CI 1.32, 2.78, P<0.01), rScO 2 variability ( OR=4.66, 95% CI 1.74, 12.43, P<0.01), Vs ( OR=0.66, 95% CI 0.61, 0.75, P<0.01) and PI ( OR=20.07, 95% CI 4.17, 16.50, P<0.01) were predictive factors for poor prognosis in patients with msTBI. The regression equation was constructed with the forementioned 5 variables: Logit [ P/(1- P)]=2.23×"brain hernia formation"+0.65×"Rotterdam CT score on admission"+1.54×"rScO 2 variability"-0.42×"Vs"+3.00×"PI"-6.75. The AUC of prognostic predictive model of msTBI patients was 0.90 (95% CI 0.85, 0.95), with the sensitivity and specificity of 86.3% and 78.4%, Youden index of 0.65 and C index of 0.90. H-L goodness of fit test showed that the calibration degree of the predictive model was accurate ( χ2 =12.58, P>0.05). The average absolute error of the calibration curve was 0.025, showing that the calibration of the model was good. DCA results showed that this model had higher net return rate than the reference model within the probability range of risk threshold (20%-100%), with good clinical application value in evaluating the risk of poor prognosis of msTBI patients. Conclusion:The model constructed based on the combination of rScO 2 and TCD monitoring parameters (rScO 2 variability, Vs and PI) with multiple clinical indicators (cerebral hernia formation and Rotterdam CT score on admission) has good predictive performance for the prognosis of msTBI.

Objective To explore the incidence of long CO VID symptoms in patients infected with Omicron variant of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Methods According to the inclusion and exclu-sion criteria of literatures,relevant studies without language restrictions published up to 2024 were retrieved from both Chinese and English databases.The Chinese databases were China National Knowledge Infrastructure(CNKI),Wanfang Database,and VIP databases,and the foreign databases were PubMed,Embase,and Web of Science.Three-step screening was used to select literatures,and Stata 17.0 software was used for analysis.Results The incidence of at least one sequelae in patients infected with Omicron variant was 29.62％.The most common symptoms included fatigue(19.10％),joint or muscle pain(11.06％),memory loss(9.71％),brain fog(8.80％),cough(8.42％),headache(7.26％),and sore throat(6.68％).Subgroup analysis results showed that with the extension of follow-up(3 months vs 6 months),the incidence of smell or taste changes was significantly re-duced(7.22％vs 0.78％).The higher the proportion of women(＜50％vs 50％-65％vs＞65％),the higher the incidence of joint or muscle pain(1.09％vs 4.62％vs 19.53％);the greater the median age(≥45 years vs＜45 years),the higher the incidence of chest pain or chest distress(0.90％vs 3.86％),all with statistically significant differences(all P＜0.05).Conclusion Incidence of long COVID in Omicron-infected patients is high and can cause various symptoms.Follow-up time,median age and gender proportion have significant impacts on the incidence of some symptoms.

Objective To compare the clinical efficacy and prognosis of endoscopic submucosal dissection(ESD)and surgical methods in the treatment of early esophagogastric junction adenocarcinoma(AEG),and to analyze factors influencing prognosis.Methods Hospitalized patients with early AEG who underwent ESD or surgical treatment at Anhui Provincial Hospital from January 2010 to December 2022 were collected.Among them,186 patients underwent ESD and 364 patients underwent surgical treatment.Propensity score matching was used with a ratio of 1∶1,with 164 patients in each group.Clinical outcomes,survival outcomes,and postoperative complications were compared before and after matching.Factors influencing mortality and recurrence in EGJ patients were analyzed.Results 1.Before and after matching,the ESD group had lower surgical time,hospital stay,hospital costs,intraoperative bleeding volume,and adverse events compared to the surgical group(P＜0.001).2.The matched ESD group had 1-,3-,and 5-year overall survival rates of 99.5％,94.5％,and 90.2％,respectively,while the surgical group had rates of 100％,99.4％,and 97.5％for the same periods.The 1-,3-,and 5-year recurrence-free survival rates in the matched ESD group were 99.5％,96.3％,and 93.4％,respectively,compared to 100％,98.6％,and 92.5％in the surgical group.Kaplan-Meier survival analysis before and after matching showed no significant difference in overall survival and recurrence-free survival between the two groups(P＞0.05).3.Age,poor differentiation,and vascular invasion were independent risk factors for OS;age and tumor size were independent risk factors for RFS.Conclusion Patients with early AEG undergoing ESD or surgical treatment have consistent clinical outcomes.ESD can be considered an effective and safe treatment for early AEG.

Objective To propose a Q factor-based fatigue vibration evaluation method of the ultrasonic knife tip.Methods Firstly,an ultrasonic cutter fatigue testing table was established to realize repeated cutting,which was composed of a power supply module,a three-axis moving module,an ultrasonic cutter clamping module and a control module.Secondly,10 ultrasonic knives of some brand underwent fatigue testing with the table,during which non-contact measurement of the ultrasonic knife tip vibration was carried out and the Q factors were calculated at the five periods of the fatigue test,including the periods before cutting,after 500 times of cutting,after 1 000 times of cutting,after 2 000 times of cutting and after 3 000 times of cutting.Finally,the average cutting speed and burst pressure for coagulated vessels were computed at each period to validata the effectiveness of the method proposed.Results It's indicated that Q factor could effectively reflect the fatigue degradation of the ultrasonic knife tip,while the average cutting speed and burst pressure for coagulated vessels were difficult to efficiently evaluate the fatigue degradation level of the ultrasonic knife tip due to the uncertainty factors in the measurement process.Conclusion The proposed Q factor-based evaluation method can directly evaluate fatigue vibration of the ultrasonic knife tip in an accurate and quantitative manner.[Chinese Medical Equipment Journal,2024,45(6):17-22]