ObjectiveTo investigate the risk factors for pyogenic liver abscess （PLA） comorbid with sepsis by analyzing clinical features， and to construct a predictive model. MethodsA retrospective analysis was performed for 489 patients who were hospitalized and diagnosed with PLA in The Affiliated Hospital of Xuzhou Medical University from January 2019 to December 2023， and according to the presence or absence of sepsis， they were divided into sepsis group with 306 patients and non-sepsis group with 183 patients. Related data were collected， including general information， laboratory markers， and outcome measures. The patients were further divided into a training set of 342 patients and a validation set of 147 patients at a ratio of 7∶3， and the training set was used for screening of variables and construction of a predictive model， while the validation set was used to test the performance of the model. An LASSO regression analysis was used for the screening of variables， and a multivariate Logistic regression analysis was used to construct the predictive model and plot a nomogram. The calibration curve， the receiver operating characteristic （ROC） curve， and the decision curve analysis were used for the validation of the model， and internal validation was performed for assessment. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical variables between groups. ResultsThere were significant differences between the sepsis group and the non-sepsis group in pulse rate， mean arterial pressure， duration pf symptoms， comorbidity of liver cirrhosis or malignant tumor， leukocyte count， neutrophil count， lymphocyte count， platelet count （PLT）， activated partial thromboplastin time， fibrinogen， C-reactive protein， aspartate aminotransferase， alanine aminotransferase， albumin， total bilirubin （TBil）， creatinine， potassium， and prognostic nutritional index （PNI） （all P<0.05）. In the training set， the LASSO regression analysis identified four predictive factors of pulse rate， PLT， TBil and PNI， and the multivariate Logistic regression analysis showed that pulse rate （odds ratio ［OR］=1.033， 95% confidence interval ［CI］： 1.006‍ ‍—‍ ‍1.061， P=0.018）， PLT （OR=0.981， 95%CI： 0.975‍ ‍—‍ ‍0.987， P<0.001）， TBil （OR=1.086， 95%CI： 1.053‍ ‍—‍ ‍1.125， P<0.001）， and PNI （OR=0.935， 95%CI： 0.882‍ ‍—‍ ‍0.988， P=0.019） were independent influencing factors for the risk of sepsis in patients with PLA. The model constructed based on these factors showed a good predictive ability， with an area under the ROC curve of 0.948 （95%CI： 0.923‍ ‍—‍ ‍0.973） in the training set and 0.912 （95%CI： 0.848‍ ‍—‍ ‍0.976） in the validation set. The decision curve analysis showed that the model has a good net benefit within the range of 0.3‍ ‍—‍ ‍0.9 for threshold probability. ConclusionThe nomogram prediction model constructed based on pulse rate， PLT， TBil， and PNI has a certain clinical value and can well predict the risk of sepsis in patients with PLA.

Autoimmune encephalitis（AE）refers broadly to a group of encephalitic disorders mediated by autoimmune mechanisms. AE is characterized by complex pathogeneses and diverse clinical manifestations，and there are still numerous challenges in the diagnosis and treatment of AE. With the development of frontier technologies such as vaccines，gene editing，and big data，new opportunities have emerged for transforming the diagnosis and treatment strategies for AE. Vaccines play a dual role in AE： on the one hand，they can prevent infections； on the other hand，they may trigger autoimmune responses through molecular mimicry. Emerging nanovaccine technologies are expected to achieve safer and more effective immunomodulation. Gene editing techniques，especially the CRISPR-Cas9 system，have shown potential in targeted regulation of the function of immune cells and repair of nervous tissue，which provides new pathways for precise intervention in the treatment of AE. The application of big data technologies，including artificial intelligence，natural language processing，and deep learning，has promoted the early diagnosis of AE and the development of individualized treatment regimens. This article reviews the research advances and clinical prospects of these cutting-edge technologies in AE，in order to provide insights and references for the development of precision medicine，interdisciplinary collaboration，and future treatment strategies for AE.

【Objective】 To explore the distribution of serological markers related to samples whose serological test results were inconsistent with HBV DNA test results among voluntary blood donors in Xi′an. 【Methods】 A total of 71 HBsAg ELISA positive and NAT non-reactive (ELISA+ /NAT-)blood samples were collected from Shaanxi Blood Center from November 1, 2022 to April 30, 2023. The serological markers of hepatitis B were detected by electrochemiluminescence method, and the HBV S region and C region gene fragments were amplified by nested-PCR. 【Results】 The positive rate of nested-PCR in double ELISA+ /NAT- group(n=30) was statistically higher than that of ELISA+ /NAT- group(n=41)(60% vs 24.4%, P<0.05). Donors in double ELISA+ /NAT- group were all first-time blood donors, with the positive rate of anti-HBc in serum of 100%, and the serological pattern was mainly positive for items 1, 4 and 5 items(80%). Among the ELISA+ /NAT- group, 31.7% were repeat blood donors, with the positive rate of anti-HBc in serum of only 19.51%, and the serological patterns were mainly single anti-HBs positive (43.90%) and all negative (36.58%). 【Conclusion】 There are false positives in the test results of ELISA+ /NAT- group, which leads to unnecessary blood discarding. Meanwhile, the samples with negative NAT may have low levels of HBV DNA, which may lead to missed detection. It is suggested that multiple systems and methods should be applied to trace the blood donors who are HBsAg positive and NAT non-reactive, so as to improve the accuracy of HBV screening of blood donors and reduce blood waste.

Objective To evaluate the pharmacokinetics characteristics of single-dose of Etripamil nasal spray 70 mg in healthy adult Chinese subjects.Methods This was a single-center,randomized,double-blind,placebo-controlled study.Twelve healthy adult Chinese subjects were randomized to receive single-dose of Etripamil nasal spray 70 mg(n=10)or placebo nasal spray(n=2).Blood and urine samples were collected prior and post dose.Etripamil in plasma and urine were analyzed by liquid chromatography-tandem mass spectrometry.The pharmacokinetic parameters were calculated by WinNonlin non-compartmental model.Results Following the single-dose of Etripamil nasal spray 70 mg in healthy adult Chinese subjects,the peak concentration of Etripamil in plasma was quickly attained,with a Cmax of(66.76±56.61)ng·mL-1 and a median(range)tmax of 4.00(3.00-5.00)min.The plasma concentrations of Etripamil had fallen approximately 65％from peak value at 25 min after dosing,and close to 80％within 50 min.The AUC0-last and AUC0-∞ were(3 104.16±2 654.46)and(4 048.77±2 682.38)ng·min·mL-1,respectively.The urine excretion percentage of Etripamil during 24 h was(0.01±0.01)％.Among the 12 subjects who were treated with Etripamil or placebo,10 subjects reported a total of 29 treatment-emergent adverse events(TEAEs).All of the TEAEs were mild in severity.The most common TEAEs were rhinorrhoea and lacrimation increased.Conclusion Etripamil was quickly absorbed after intranasal administration,followed by rapid distribution and elimination(not primarily excreted by renal);Etripamil 70 mg was safe and well tolerated by the healthy Chinese adult subjects.

Objective To explore the effect of emodin on inflammatory response in preeclampsia(PE)rats by regulating the AMP activated protein kinase(AMPK)/thioredoxin-interacting protein(TXNIP)/NOD-like receptor pyrin domain-containing protein 3(NLRP3)signaling pathway.Methods PE rat model was established by subcutaneous injection of L-arginine methyl ester(100 mg·kg-1).Sixty female rats were randomly divided into control group,model group,emodin group(40 mg·kg-1 emodin),Compound B10 group(100 mg·kg-1 Compound B10),emodin+Compound B10 group(40 mg·kg-1 emodin+100 mg·kg-1 Compound B10),with 12 rats in each group.The control group and the model group were intraperitoneally injected with the same amount of 0.9％NaCl.The 24 h urine was collected,and the total urinary protein content was determined by Coomassie brilliant blue method.The protein levels of AMPK/TXNIP/NLRP3 signaling pathway were detected by Western blot.Results The total urinary protein levels of control group,model group,emodin group,Compound B10 group and emodin+Compound B10 group were(54.34±6.26),(136.37±15.43),(76.38±8.61),(215.39±25.14)and(110.93±13.92)g·L-1,respectively;urine volume were(10.59±0.92),(15.38±1.49),(11.51±1.13),(21.49±2.50)and(14.71±1.49)mL,respectively;AMPK protein levels were 0.63±0.06,1.57±0.18,0.81±0.09,2.34±0.23 and 1.38±0.15,respectively;TXNIP protein levels were 0.33±0.04,0.79±0.08,0.49±0.10,1.13±0.12 and 0.82±0.09,respectively;NLRP3 protein levels were 0.46±0.05,0.83±0.09,0.56±0.07,1.25±0.14 and 0.78±0.08,respectively.The above indexes:Model group was compared with control group,emodin group and Compound B10 group,emodin+Compound B10 group was compared with emodin group,the differences were statistically significant(all P＜0.05).Conclusion Emodin may alleviate inflammatory reaction in PE rats by inhibiting AMPK/TXNIP/NLRP3 signal axis,thereby improving placental injury.

Objective To understand the current status and influencing factors of patient perception for humanistic care in China hospitals,and to provide a basis for developing nursing humanistic care measures and improving the quality of nursing humanistic care services.Methods A total of 30,099 outpatients and inpatients from 107 hospitals in 30 provinces(autonomous regions and municipalities)from July to August 2022 as survey subjects.A general information questionnaire and the Relational Caring Questionnaire-Patient Form were used for a cross-sectional survey,and a single-factor analysis was used to analyze the influencing factors of patient relationship care.Results Finally,29 108 valid questionnaires were collected,and the effective questionnaire recovery rate was 96.7％.The patient evaluation of relationship care was(65.72±8.61)points.Single-factor analysis showed that gender,age,marital status,children's situation,education level,occupation,place of residence,average family income,medical insurance type,visiting department,and location of the visiting hospital,and whether or not surgery were influencing factors of patient relationship care(P＜0.05).Conclusion The evaluation score of caregiver-patient relationship care among Chinese hospital patients is above average,but there is still room for improvement in western and rural regions,seriously ill and outpatient patients,low-income and low-medical insurance reimbursement populations,and non-surgical patients.Medical institutions at all levels should optimize and improve nursing humanistic care services based on influencing factors,and further enhance patients'perception of nursing humanistic care.

Objective To design an anti-inversion performance evaluation system for ankle braces and validate its performance.Methods The system was composed of a simulation system,an inversion angle acquisition system,a lateral tension acquisition system for ankle joint and a data collection and procession system.The simulation platform made of aluminum alloy consisted of a standing platform and a landing pad,and the landing pad was made up of a platform and a slope for landing;the inversion angle acquisition system included markers,an image acquisition device and a fill light.The lateral tension acquisition system involved in a tension sensor,a detection sensor and an elastic cloth for fixation.The data collection and procession system comprised of a computer or smartphone,iXControl software,iXViewer software and a cell phone App that received real-time data from the lateral ankle tension acquisition device.The system developed underwent performance validation when applied to evaluating anti-inversion performance of volunteers without or with flexible or new braces.The traditional EMG testing method was used for EMG data acquisition for volunteers without or with flexible or new braces,and the consistency was explored between the testing results by the traditional method and the system.Results The system developed could evaluate the anti-inversion performance of ankle braces by simulating the process of ankle inversion during human high-altitude landing,and the results had high consistency with those by traditional EMG testing methods.Conclusion The system developed with simple structure and easy operation evaluates the anti-inversion performance of ankle braces.[Chinese Medical Equipment Journal,2024,45(11):21-26]

Purpose/Significance Based on the concepts of healthy cities and smart cities,the paper introduces a new concept-smart healthy cities.It explores the definition,scope,function,challenges,and strategic responses associated with the concept.Meth-od/Process Through literature review and case study analysis,the theoretical foundations,characteristics,objectives,and implementa-tion strategies of healthy cities and smart cities are compared,revealing differences and points of convergence,proposing the origins,def-initions,and delineations of smart healthy cities,and exploring the relationships among healthy cities,smart cities,and smart healthy cit-ies.Result/Conclusion Smart healthy cities enhance urban health governance and the well-being of residents through technological in-novation.Effective integration of advanced technologies with urban governance policies is essential,alongside the implementation of di-verse strategies to drive progress.Future urban development should focus more on the theoretical and practical collaborative development within the smart healthy cities framework.

Purpose/Significance To explore the technical key points and implementation paths of relevant policies,and provide ref-erence for the planning and construction of future smart healthy cities.Method/Process It reviews and analyzes domestic and internation-al policy progress in the field of smart healthy cities,deeply analyzes policy documents,reveals the evolution trajectory,core elements,and driving effects on urban health development.Result/Conclusion Establishing a framework for health informatization,resource net-working,intelligent services,and integrated supervision can effectively address urban health challenges,provide efficient health services,and improve residents'quality of life and hygiene level.Policies such as optimizing the allocation of medical resources,promoting coordi-nation and cooperation among medical institutions,and expanding the health industry will jointly promote the sustained progress of urban health ecosystems.

Objective:To investigate personal exposures to nitrogen oxides(NOX)and nitrogen di-oxide(NO2)and the influence of baseline personal characteristics,living environment and daily activity patterns of the participants on the exposures among adults over 35 in Tianjin and Shanghai.Methods:In this panel study,91 healthy nonsmoking adults aged over 35 from Tianjin and Shanghai participated in our study.The study was conducted in summer and winter.The participants were followed for three times with an interval of at least two weeks.Only participants in Shanghai were followed once in winter because of the COVID-19 pandemic.Twenty-seven participants completed follow-up visits in both seasons.We measured their 24 h personal exposures to NOX and NO2and collected their baseline and time-activity in-formation through questionnaire/diary.The linear mixed model was used to analyze the associations be-tween potential influencing factors and personal NOX and NO2 exposure levels.Results:There were 349 follow-up visits with valid 24 h personal NO2 and NOX exposure measurements in the two cities.The ave-rage 24 h personal exposures to NO2 and NOX(volume fraction)in Tianjin participants were 18.0 x 10-9 and 26.2 × 10-9 in summer,and 31.0 x 10-9 and 54.9 x 10-9in winter,respectively;and the average 24 h personal exposures to NO2 and NOX in Shanghai participants were 38.7 x 10-9and 100.0x10-9in summer,and 45.5 x10-9 and 139.2 x 10-9 in winter,respectively.The results of univariate regression analysis showed that their personal NOX exposure levels were significantly associated with city,season,gender,average daily cooking times,and ambient NO2 concentrations measured at fixed-site monitoring stations.In addition to the above factors,the personal NOX exposure levels were also significantly associ-ated with educational level and the personal NO2 exposure levels were also significantly associated with passive smoking,average daily home time,cooking energy type,residential distance from main traffic road,and use of kitchen ventilators.Multivariate regression analysis showed that the personal exposure levels of NO2 and NOX were significantly lower in Tianjin than that in Shanghai,were significantly lower in summer than that in winter,and were significantly and positively associated with ambient NO2 concen-trations measured at fixed-site monitoring stations.In addition,personal NOX exposure levels were signifi-cantly lower in females than in males,and personal NO2 exposure levels were significantly positively asso-ciated with average daily cooking times and significantly inversely associated with average daily home time.For every interquartile range(IQR)increase(12.7 × 10-9)in ambient NO2,the personal NO2 exposure levels increased by 27.5％(95％CI:17.0％-38.9％),and personal NOX exposure levels in-creased by 16.1％(95％CI:7.1％-25.8％).Conclusion:Season,city and ambient NO2 concentra-tions are significant influencing factors of personal exposure levels of NO2and NOX At the same time,the personal exposures levels of NO2 are also affected by lifestyle factors.Our study provides scientific evi-dence for making precise air pollution control decisions and reducing the exposure levels of NOX in the population.