Objective To characterize the species composition and distribution patterns of ticks in 17 counties and cities of Yunnan Province, thereby furnishing fundamental data for the prediction, prevention, and control of local tick-borne diseases. Methods Tick specimens deposited in Yunnan Institute of Endemic Disease Control and Prevention (YIEDC) collected from 17 counties or cities during 1957-2024 were thoroughly trimmed and morphological identified based on diagnostic characters. Results A total of 2 923 tick specimens were taxonomically identified and classified into 18 species within 6 genera in the Ixodidae family. Specifically, the genus Haemaphysalis comprised 6 species with 154 specimens, the genus Rhipicephalus included 3 species with 2 444 specimens, the genus Ixodes consisted of 4 species with 236 specimens, the genus Amblyomma included 3 species with 49 specimens, the genus Dermacentor contained 1 species with 12 specimens, and the genus Hyalomma included 1 species with 28 specimens. A wide range of host animals were found, including livestock, wild avian species, wild mammalian species, reptiles (including pythons), and humans. Conclusions Ticks were found on a wide array of host animals within the 17 counties and cities of Yunnan Province, demonstrating high host species diversity. Our data suggest a need to strengthen the monitoring of tick-borne diseases and provide health education for the general population in Yunnan Province.

Objective To explore current status and potential subtypes of elderly stroke patients' medication literacy among,and to analyze related influencing factors of different subtypes.Methods A total of 285 elderly stroke patients admitted in the First Affiliated Hospital of Zhengzhou University from November 2023 to June 2024 were selected as subjects.General Information questionnaire,medication literacy scale for elderly patients with chronic diseases,and perceived social support scale were conducted.Latent profile analysis(LPA)of elderly stroke patients' medication literacy was conducted,and Logistic regression analysis was used to explore influencing factors of different profiles.Results Score of medication literacy scale for elderly stroke patients was(48.26±12.51)points.Medication literacy among elderly stroke patients can be divided into 3 profiles,namely proactive-high literacy type(51.9％),balanced-medium literacy type(34.0％),and dependent-low literacy type(14.1％).Logistic regression analysis showed that recent medication types,current place of residence,educational level,diabetes,and social support were the influencing factors of elderly stroke patients' medication literacy(P＜0.05).Conclusion The level of medication literacy among elderly stroke patients is medium,which is characterized by 3 categories.Medical staffs targeted intervention should be adopted according to different category characteristics,so as to accurately meet their nursing needs,finally improve the level of elderly stroke patients' medication literacy.

Objective:To investigate the association of blood lipids and body mass index (BMI) with hyperuricemia (HUA) in the elderly.Methods:It was a cross-sectional study. A total of 114 391 elderly individuals received health examinations at primary healthcare institutions in Wujin District from January to December in 2022. The health examination included questionnaire survey, physical examination and laboratory examination. The multivariate logistic regression and restricted cubic spline (RCS) plots were used to analyze the association and dose-response relationship of blood lipid and BMI with HUA. The mediating effect model was used to explore the mediation effect of BMI on the association between blood lipid and HUA.Results:Among the 112 415 subjects, 18 506 (16.46%) were checked with HUA. After adjusting for relevant confounders, total cholesterol (TC) ( OR=1.20, 95% CI: 1.16-1.23), triglyceride (TG) ( OR=1.46, 95% CI: 1.44-1.49), high density lipoprotein cholesterol (HDL-C) ( OR=0.74, 95% CI: 0.73-0.76), low density lipoprotein cholesterol (LDL-C) ( OR=1.14, 95% CI: 1.12-1.15) and BMI ( OR=1.42, 95% CI: 1.39-1.44) were all associated with HUA (all P0.05). The RCS analysis revealed that TG, HDL-C, and LDL-C each exhibited a nonlinear dose-response relationship with HUA, the inflection points was 3.00 mmol/L, 1.57 mmol/L and 2.50 mmol/L, respectively (all P-nonlinear0.001). The results of interaction showed that there were additive interaction between high TC( S=1.27 , 95% CI: 1.17-1.37), high TG( S=1.32 , 95% CI: 1.25-1.40), high LDL-C( S=1.23 , 95% CI: 1.14-1.34) and overweight/obesity with HUA (all P0.05). The results of mediation effect analysis showed that the mediation effect of BMI on the association between blood lipids (HDL-C, LDL-C, TG and TC) and HUA, from high to low, were as follows: 22.5% (95% CI: 20.8%-24.2%), 13.9% (95% CI: 12.0%-16.2%), 13.5% (95% CI: 12.7%-14.4%) and-3.9% (95% CI:-6.6%--1.8%). Conclusion:The blood lipid levels and BMI are positively correlated with HUA in the elderly.

Objective To investigate the effect of splenectomy on the repair of full-thickness skin tissue defects,as well as the impact of different recovery times after splenectomy on the healing of skin tissue defects.Methods According to a random number table,39 8-week-old female C57 mice were randomly divided into three groups:sham surgery group(sham group,n=13),splenectomy group with 3 days of recovery(Spx3d group,n=13),and splenectomy group with 3 weeks of recovery(Spx3w group,n=13).Full-thickness skin defects were created on the backs of the mice in each group.The wound healing conditions at different times after skin defects were observed,and the wound healing rates after the injury were calculated.Peripheral blood cell analysis was performed on day 14 after the defect,and tissue samples from the wound area were taken for hematoxylin and eosin(HE)staining to observe the granulation tissue thickness at the defect site and the re-epithelialization rate.Masson's trichrome staining was used to observe the proportion of collagen fibers.Results After splenectomy and sham surgery,the mice recovered well without significant discomfort.From 1 to 14 days after the skin defect modeling,the wound areas of the mice in all three groups gradually decreased.Compared with sham group,the wound areas were smaller in Spx3d and Spx3w groups at 3,5 and 7 days after the injury,and the differences were statistically significant(P<0.05).The wound healing rates were also significantly higher(P<0.05).Moreover,at 3 days and 5 days after the injury,the wound healing rates of Spx3d group were significantly higher than those of Spx3w group(P<0.05 or P<0.01).The peripheral blood white blood cell(WBC)count in Spx3w group was significantly higher than that in sham group and Spx3d group(P<0.01).The platelet counts in both sham group and Spx3w group were significantly higher than that in Spx3d group(P<0.05).Additionally,the lymphocyte and neutrophil counts in Spx3w group were markedly higher than those in sham group(P<0.05).No statistically significant differences in red blood cell(RBC)counts were observed among the three groups(P>0.05).HE staining results showed that compared with sham group,the wound healing of the mice in Spx3d and Spx3w groups were better,and the thickness of the granulation tissue in Spx3d group were better than that in Spx3w group.At 7 days,the thickness of the granulation tissue in Spx3d and Spx3w groups was significantly higher than that in sham group(P<0.01,P<0.05)and the re-epithelialization rate in Spx3d group was significantly higher than that in sham group and Spx3w group(P<0.05).At 14 days,the re-epithelialization rates of Spx3d and Spx3w groups were significantly higher than those of sham group(P<0.05).The results of Masson's staining showed that the collagen fiber proportion in the wounds of Spx3d group at 7 and 14 days and that of Spx3w group at 14 days were significantly higher than that in sham group(P<0.05).Conclusion The healing of skin defects in mice is accelerated after splenectomy,and the recovery time after splenectomy has a certain effect on the healing of skin defects.

As early mobilization of patients in the intensive care unit(ICU)is increasingly recognized as a key measure for improving patient prognosis and reducing complications,related research is increasing.However,conventional early mobilization methods are often limited by factors such as patient condition,nursing resources,and environmental factors,making it difficult to achieve optimal results.In recent years,virtual reality(VR)technology,owing to its unique immersion and interactive features,has emerged as a focus of research in the field of ICU patient rehabilitation.This review summarizes the advances in the application of VR technology in the early mobilization of ICU patients,focusing on its advantages over traditional methods,specific implementation approaches,clinical outcomes,and challenges encountered during application.By synthesizing existing evidence,this review aims to provide valuable references for clinical practice and to explore future directions for VR technology in ICU rehabilitation,with the goal of promoting its widespread application in the early mobilization of critically ill patients.

Objective To investigate the effect and mechanism of edaravone(Eda)on myocardial injury in chronic heart failure(CHF)rats by regulating Notch/Hes-1 signaling pathway.Methods The CHF rat model was established and the rats were separated into sham surgery(S)group,model(M)group,low dose Eda(Eda-L)group,medium dose Eda(Eda-M)group,high dose Eda(Eda-H)group,and Eda-H+Notch signal pathway inhibitor DAPT(Eda-H+DAPT)group,with 25 rats in each group.Echocardiography was applied to detect the levels of left ventricular end diastolic diameter(LVEDd),left ventricular end-systolic diameter(LVEDs),and left ventricular ejection fraction(LVEF)in rats.ELISA was applied to detect levels of tumor necrosis factor-α(TNF-α),interleukin(IL)-1β,IL-6,malondialdehyde(MDA),superoxide dismutase(SOD),and angiotensin Ⅱ(Ang Ⅱ)in serum.Myocardial infarction was observed by 2,3,5-triphenyl tetrazolium chloride(TTC)staining.HE staining,TUNEL staining and Masson staining were applied to observe the morphological changes of myocardial tissue,myocardial cell apoptosis and myocardial fibrosis respectively.immunohistochemistry was applied to detect the expression of collagen Ⅰ and angiotensin converting enzyme 2(ACE2)proteins in myocardial tissue.Western blotting was applied to detect the expression of Notch 1,Hes-1,transforming growth factor-β1(TGF-β1),Bcl-2,Bax,and Caspase-3 proteins in myocardial tissue.Results Compared with the sham group,the distribution of cardiomyocytes in model group was disordered,and severe inflammatory symptoms.There was a large amount of blue collagen deposition between the perivascular area and the myocardium.The LVEDd,LVEDs,TNF-α,IL-1β,IL-6,MDA and Ang Ⅱ levels,myocardial infarction size,cardiomyocyte apoptosis rate,Collagen Ⅰ,Bax,Caspase-3 and TGF-β1 protein expressions increased obviously(P＜0.05),the LVEF,SOD levels,ACE2,Bcl-2,Notch 1,and Hes-1 protein expressions were obviously reduced(P＜0.05).Compared with the model group,the myocardial tissue damage was reduced in the Eda-L,Eda-M,and Eda-H groups,with reduced inflammatory cell infiltration and collagen deposition;The LVEDd,LVEDs,TNF-α,IL-1β,IL-6,MDA and Ang Ⅱ levels,myocardial infarction size,cardiomyocyte apoptosis rate,collagen Ⅰ,Bax,Caspase-3 and TGF-β1 protein expressions reduced obviously(P＜0.05),the LVEF,SOD levels,ACE2,Bcl-2,Notch 1,and Hes-1 protein expressions increased obviously(P＜0.05).Notch signaling pathway inhibitor DAPT reversed the protective effect of edaravone on myocardial injury in rats with CHF(P＜0.05).Conclusion Edaravone may improve myocardial injury in CHF rats by activating Notch/Hes-1 signaling pathway.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective:To investigate the diagnostic value of plasma cytokines such as interleukin (IL)-2, IL-6 and interferon (IFN)-γ in non-Hodgkin lymphoma (NHL).Methods:A retrospective case-control study was conducted. A total of 48 NHL patients admitted to the Second Affiliated Hospital of Xuzhou Medical University between January 2020 and December 2022 were selected as NHL group, and another 34 healthy people who underwent physical examimation during the same period were selected as the healthy control group. The levels of IL-2, IL-4, IL-6, IL-10, IL-17, tumor necrosis factor (TNF) - α and IFN-γ in the plasma of patients at first admission and healthy subjects during physical examination were detected by using flow cytometry. The differences in general data and all cytokines levels of both groups were compared. The collinearity stepwise screening was made in 7 cytokines levels, and the screened variables were included in multivariate binary logistic regression model. Plasma cytokines with independent effects on the pathogenesis of NHL were screened. Taking local biopsy, histopathological examination or immunohistochemical examination as the gold standard, the receiver operating characteristic (ROC) curves of individual and combined diagnosis of NHL based on the selected cytokines were drawn to judge the diagnostic effect of all indicators on NHL.Results:There were 32 males (66.7%) and 16 females (33.3%) in NHL group, with the median age [ M ( Q1, Q3)] of 56.50 (45.75, 67.50) years; there were 28 males (82.4%) and 6 females (17.6%) in the healthy control group, with the median age of 52.00 (47.50, 55.50) years. There were no statistically significant differences in age and gender composition between the 2 groups (all P > 0.05). The levels of IL-2 [1.44 (1.36, 1.85) pg/ml vs. 1.19 (0.86, 1.68) pg/ml] and TNF-α [3.46 (2.68, 4.06) pg/ml vs. 2.23 (1.52, 3.46) pg/ml] in NHL group were higher than those in the healthy control group, and the differences were statistically significant (all P < 0.05). There were no statistically significant differences in IL-4, IL-6, IL-10, IL-17, IFN-γ levels (all P > 0.05). According to collinear stepwise screening of independent variables, IL-4 and TNF-α were excluded from 7 cytokines, and the other 5 cytokines were included in multivariate logistic regression model, and the result showed that the decreased level of IL-2 ( OR = 0.20, 95% CI: 0.08-0.53, P = 0.001) and the increased levels of IL-6 ( OR = 1.18, 95% CI: 1.04-1.33, P = 0.009) and IFN-γ ( OR = 1.26, 95% CI: 1.08-1.46, P = 0.003) were independent risk factors for the onset of NHL. The results showed that the area under the curve of IL-2, IL-6, IFN-γ and the combination of 3 indexes for the diagnosis of NHL was 0.760 (95% CI: 0.651-0.870), 0.595 (95% CI: 0.468-0.722), 0.508 (95% CI: 0.373-0.642), 0.847 (95% CI: 0.763-0.930), and the optimal cut-off value of the combination of 3 indexes was 0.730 which was calculated by logistic regression model formula; the corresponding sensitivity and specificity were 70.2% and 94.1%, respectively. Conclusions:The decreased level of IL-2 and increased levels of IL-6 and IFN-γ at initial diagnosis are risk factors for the onset of NHL. The combined detection of the 3 indexes shows a good value in the diagnosis of NHL.

Objective To explore the application effect of multimodal analgesia combined with goal-di-rected fluid therapy based on enhanced recovery after surgery(ERAS)in the anesthesia management of pa-tients undergoing orthopedic robot-assisted pedicle internal fixation.Methods Eighty patients with lumbar fractures who underwent robot-assisted surgery in Huai'an 82 Hospital from February 2024 to February 2025 were selected as the research objects and divided into the ERAS group and the control group according to the random number table method,with 40 cases in each group.The ERAS group received multimodal analgesia combined with goal-directed fluid therapy based on ERAS,while the control group adopted the traditional an-esthesia protocol.The hemodynamic indicators[heart rate,mean arterial pressure(MAP)]before the start of anesthesia(T0),immediately before the operation(T1),at the end of the operation(T2),and at the time of postoperative recovery(T3),as well as the IL-6 levels at T0,24 hours after the operation(T4),48 hours after the operation(T5),and 72 hours after the operation(T6)were compared between the two groups.Recorded the postoperative recovery time,visual analogue scale(VAS)score,incidence of complications and hospital stay,as well as perioperative infusion management parameters[total infusion volume,positive fluid balance volume,the compliance rate of stroke volume variation(SVV),etc.].Results Compared with the control group,the proportion of MAP fluctuations≤±10%(87.5%vs.62.5%),and the proportion of basal heart rate increase≤20%(95.0%vs.70.0%)in the ERAS group were higher than those in the control group(P<0.05).At T4,the IL-6 levels in both groups were the highest,while the IL-6 levels from T4 to T6 in the ERAS group were lower than those in the control group(P<0.05).Compared with control group,wake times[(18.5±3.2)min vs.(25.1±4.5)min],bed time for the first time[(8.2±2.1)h vs.(20.5±4.3)h],the length of time[(4.2±1.1)d vs.(6.5±1.3)d]in the ERAS group were shorter,24-hour resting VAS score(2.1±0.6 vs.3.8±0.9)and the incidence of complications(20.0%vs.57.5%)were lower,the total infusion volume[(1 850±220)mL vs.(2 550±310)mL],the amount of colloid solution[(620±95)mL vs.(850±120)mL],and the positive balance volume of liquid[(320±90)mL vs.(1 120±210)mL]were less,the intraoperative urine volume[(0.55±0.08)mL·kg-1·h-1 vs.(0.30±0.10)mL·kg-1·h-1]was more,the differences were statistically significant(P<0.05).The compliance rate of SVV in the ERAS group was 95.0%(38/40).Conclusion Multimodal analgesia combined with goal-directed fluid therapy based on ERAS can effectively stabilize the perioperative physiological state of patients undergoing robot-assisted spinal sur-gery,accelerate postoperative functional recovery and reduce complications.

Objective To investigate the correlation between the inflammatory burden index(IBI)and major adverse cardiovascular events(MACEs)in patients with ST-segment elevation myocardial infarction(STEMI)after percutaneous coronary intervention(PCI),and to assess the efficacy of IBI in predicting in-hospital and long-term MACEs.Methods This retrospective study included 465 STEMI patients who received PCI treatment in No.904 Hospital of Joint Logistics Support Force of PLA from Dec.2017 to Dec.2021.The IBI was calculated for each patient.The predictive value for in-hospital and long-term MACEs was evaluated using receiver operating characteristic(ROC)curves,and the area under curve(AUC)was calculated.The population was grouped based on the optimal IBI cut-off value for clinical characteristic analysis.Multivariate logistic regression and Cox regression analyses were used to identify factors independently associated with MACEs.The Kaplan-Meier estimator and log-rank test were used to assess the MACE risk of different IBI groups.Results The AUC value for predicting MACEs during hospitalization in STEMI patients using IBI was 0.687,and the AUC value for predicting long-term MACEs was 0.634.Multivariate logistic regression analysis revealed that a high IBI 102.33 mg/L)independently increased the risk of MACEs during hospitalization in STEMI patients(odds ratio=10.900,95％confidence interval[95％CI]4.273-29.180,P＜0.001).Multivariate Cox regression analysis further indicated that during long-term follow-up of STEMI patients,a high IBI(≥55.88 mg/L)independently predicted MACEs(hazard ratio=1.989,95％CI 1.128-3.506,P=0.018).Conclusion IBI is a valuable predictor for the occurrence of MACEs during hospitalization and long-term follow-up after PCI in STEMI patients.