Background: The hypotension prediction index (HPI) is an algorithm designed to predict hypotension. Some studies have reported that HPI-guided hemodynamic management strategies decrease intraoperative hypotension and complications; however, the effect of HPI on reducing perioperative complications is controversial. This meta-analysis aimed to assess the efficacy of the HPI in reducing major complications and intraoperative hypotension. Methods: We conducted this meta-analysis according to the PRISMA statement and Cochrane Handbook guidelines. A comprehensive literature review was conducted to identify studies focusing on the efficacy of HPI-guided management in reducing intraoperative hypotension and postoperative complications. The PubMed, Embase, Scopus, and Web of Science databases were searched, and the resulting data were combined to calculate the pooled mean differences or risk ratios (RRs) with 95% CIs of both randomized controlled trials (RCTs) and retrospective studies, as appropriate. Heterogeneity and potential publication bias were also assessed. Results: Nineteen articles (12 RCTs and 7 retrospective studies) with 2570 recruited patients were included in this meta-analysis. The critical evaluation of the study quality revealed a low risk of bias in the included RCTs. Among the non-randomized trials, one was rated 7, two were rated 8, and the remaining four were rated 9 on the Newcastle-Ottawa Scale, indicating high quality and a low risk of bias. HPI-guided management significantly reduced intraoperative hypotension and associated major complications (RR = 0.79, 95% CI [0.69–0.90], I2 = 0, P < 0.001). Blood loss and length of hospital stay were comparable between the groups. Conclusions HPI-guided management significantly reduced intraoperative hypotension and major complications.

Objective: To understand the current situation and influencing factors of comorbidity of depressive and anxiety symptoms among middle school students in Chongqing, so as to provide a scientific basis for formulating a comprehensive strategy for the co prevention of multiple diseases among middle school students. Methods: From September to December 2024, 12 327 middle school students were selected from 6 districts and counties in Chongqing by the combination of stratified cluster sampling and convenience sampling method. The current status of depressive and anxiety symptoms was investigated by using the Center for Epidemiological Survey-Depression Scale (CES-D) and the Generalized Anxiety Disorder-7 (GAD-7). The Chi-squared test was used to compare the differences between groups with comorbidity of depressive and anxiety symptoms, multivariate Logistic regression analysis was used to analyze its related factors, and a nomogram prediction model was drawn. Results: The detection rates of depressive symptoms, anxiety symptoms and comorbidity among middle school students in Chongqing were 26.34%, 34.55% and 21.16%, respectively. Among them, the detection rates of the three types of symptoms in girls (29.80%, 40.99%, 25.15%) were all higher than those in boys (23.22%, 28.73%, 17.55%) ( χ 2=68.61, 204.23, 106.51, all P <0.01). Statistical significance was observed in the distribution of depressive and anxious symptoms among middle school students across different gender, academic stage, school district, family type, physical activity levels, parental discipline, smoking, alcohol consumption, sleep deprivation, excessive screen time, Internet addiction, and bullying ( χ 2=14.49-991.46, all P <0.01). Multivariate Logistic regression analysis showed that compared with junior high school students, ordinary high school students had a higher risk of comorbidity ( OR=2.71, 95% CI = 2.41-3.05); girls ( OR=2.17, 95%CI =1.95-2.40), non-core family ( OR=1.20, 95%CI =1.08-1.32), and good neighborhood ( OR=1.16, 95%CI =1.02-1.30), campus bullying ( OR=4.88, 95%CI =4.32-5.50), Internet addiction ( OR=4.77, 95%CI = 3.41 -6.68), parental beating and scolding ( OR=3.18, 95%CI =2.72-3.71), alcohol consumption ( OR=2.10, 95%CI =1.86- 2.37 ), and insufficient sleep ( OR=1.73, 95%CI =1.54-1.95) had higher risks with comorbidity of depression and anxiety symptoms (all P <0.05). A nomogram prediction model was constructed based on significant variables shows that C-index=0.75 (AUC= 0.75 , 95% CI=0.74-0.76, P <0.05), and the model had good predictive performance. Conclusions The current situation of comorbidity of depressive and anxiety symptoms among middle school students in Chongqing is not optimistic. The nomograms can be used to effectively predict the risk of comorbidity of depressive and anxiety symptoms in middle school students.

Objective: To establish a database of CD36 antigen-negative donors through large-scale screening of apheresis platelet donors in Shenzhen for CD36 deficiency subtypes and blood group distribution, and to assess clinical demand and blood supply capacity through a retrospective analysis of the apheresis platelet donation volumes from 2019 to 2023. Methods: Flow cytometry with fluorescent CD36 monoclonal antibodies was employed to screen platelet/monocyte CD36 deficiency (Type I and Ⅱ), and statistical analyses were conducted using SPSS software (version 27.0). Results: Among 11 603 apheresis platelet donors, 248 (2.14%) exhibited CD36 deficiency, comprising 51 type Ⅰ (0.43%, 51/11, 603) and 197 type Ⅱ (1.70%, 197/11, 603) cases, with significant difference (P<0.001). CD36 deficient platelets were mainly distributed in blood group B (2.28%, 902.3/39 602.1) and AB (2.14, 269/12 544.5), significantly exceeding those in blood group A (1.43%, 667/46 508.4) and O (1.64%, 1 000/60 965.6) (P<0.001). The proportion of donors with 10-100 U from CD36 deficient donors was the highest (51%, 1 446.4/2 838.3). Conclusion: Sustained screening for CD36-deficient donors is recommended to meet the clinical transfusion needs for immunized patients and those requiring antigen-negative products. Regional resource-sharing mechanisms should be optimized to maximize utilization of CD36-deficient platelet inventories.

OBJECTIVE:Neuromuscular exercise is a new comprehensive rehabilitation therapy in recent years,but its effect on knee osteoarthritis is still controversial.The purpose of this paper is to systematically evaluate the efficacy of neuromuscular exercise on knee osteoarthritis pain and function. METHODS:The randomized controlled trials addressing neuromuscular exercise in the treatment of knee osteoarthritis pain and function were retrieved from PubMed,Cochrane Library,Embase,EBSCO,CNKI,Web of Science,China Biomedical Database(CBM),VIP,and WanFang Database.The retrieval time ranged from database inception to October 2023.The neuromuscular training group(experimental group)was given neuromuscular training or neuromuscular training as the main intervention;the control group was a blank group or given conventional rehabilitation.Outcome indicators included the Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)score,walking time,knee stability,and the maximum number of knee flexion in 30 seconds.The risk of bias was evaluated by the Cochrane Collaboration tool and the Physiotherapy Evidence Database.Meta-analysis was performed using RevMan 5.4 software. RESULTS:A total of 11 randomized controlled trials were included,and 628 samples were extracted.The results of Meta-analysis showed that the experimental group was superior to the control group in terms of WOMAC pain score[standardized mean difference(SMD)=0.38,95%confidence interval(CI):0.08-0.69,P=0.01],knee stability(SMD=0.57,95%CI:0.23-0.92,P=0.001),the maximum number of knee joint flexion in 30 seconds(SMD=0.35,95%CI:0.05-0.65,P=0.02),and WOMAC physical function score(SMD=-0.79,95%CI:-1.30 to-0.28,P=0.002).In both groups,walking speed was increased and walking ability was improved in patients with knee osteoarthritis,but there was no significant difference(walking time:SMD=-0.22,95%CI:-0.48-0.03,P=0.09). CONCLUSION:Neuromuscular exercise can effectively improve knee joint pain,enhance the stability of the knee joint,and promote functional recovery in patients with knee osteoarthritis.However,more high-quality randomized controlled trials are still needed to further confirm the research.

ObjectiveTo investigate the expression level of lysophosphatidyllecithin acyltransferase 4 （LPCAT4） in pancreatic cancer and its effect on the proliferation of pancreatic cancer cells. MethodsIn this study， the differentially expressed genes of patients with KRAS mutant and wild-type pancreatic cancer were analyzed by online database LinkedOmics. The LPCAT4 expression in pancreatic cancer tissues was analyzed online by the University of Alabama at Birmingham Cancer Data Analysis （UALCAN）， Sangerbox and gene expression profile interaction analysis 2 （GEPIA2）. Kaplan-Meier Plotter database was used to explore the correlation between LPCAT4 and the prognosis of patients with pancreatic cancer. The expression of LPCAT4 in human pancreatic cancer cells were detected by quantitative real-time PCR and Western blot analysis. LPCAT4 was knocked down in the high-expressing SW1990 cell line and overexpressed in the low-expressing MIA PaCa-2 cell line. The effects of LPCAT4 expression on cell proliferation were assessed using CCK-8 and EdU assays. STRING and GEPIA2 databases were used to obtain LPCAT4 binding and coexpressed genes in tumors， which were then analyzed by GO and KEGG. ResultsAnalysis of the LinkedOmics online database revealed a significant upregulation of LPCAT4 in patients with KRAS mutant pancreatic cancer compared to patients with KRAS wild-type pancreatic cancer. The online analysis of GEPIA2， UALCAN and Sangerbox 3.0 showed that the expression of LPCAT4 was higher in pancreatic cancer than in normal tissues. Analysis of the Kaplan-Meier Plotter database revealed that high LPCAT4 expression was associated with poorer prognosis in pancreatic cancer patients.Western blot and qPCR results showed that expression of LPCAT4 in pancreatic cancer cell lines was significantly higher than in normal pancreatic ductal epithelial cells. Knockdown of LPCAT4 in SW1990 cells inhibited proliferation， while overexpression in MIA PaCa-2 cells promoted proliferation. Enrichment analysis indicated that LPCAT4 was closely related to sulfur metabolism. ConclusionsLPCAT4 is highly expressed in pancreatic cancer and is associated with poor prognosis of patients. It plays a significant regulatory role in the proliferation of pancreatic cancer cells， with its expression level closely correlated with cell proliferation capacity. These findings reveal the critical role of LPCAT4 in the malignant progression of pancreatic cancer and provide important evidence for its potential as a therapeutic target.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

BackgroundFear of progression is one of the typical psychological consequences in patients with chronic obstructive pulmonary disease （COPD）. The level of fear of progression is affected by the illness perception status， and the link between social support and fear of progression is acknowledged， whereas the mechanism underlying the three remains unclear due to the lack of empirical research evidence and needs to be further studied. ObjectiveTo explore the mediating role of social support in the relationship between illness perception and fear of progression in COPD patients， and to provide references for effectively alleviating fear in COPD patients. MethodsA total of 435 COPD patients admitted to the Department of Respiratory and Critical Care Medicine， the Affiliated Hospital of Southwest Medical University from March 9 to July 31， 2024 were selected as the study objects. The Chinese version of Fear of Progression Questionnaire-Short Form （FoP-Q-SF）， Chinese version of Brief Illness Perception Questionnaire （BIPQ） and Social Support Rate Scale （SSRS） were used for the evaluation. Pearson's coefficient was calculated to assess the correlation among above scales. Model 4 of the Process macro 3.4.1 for SPSS 25.0 was used to test the mediating effect of social support on the relationship between illness perception and fear of progression， with Bootstrapping used to evaluate the significance of mediating effect. ResultsA total of 412 patients （94.71%） completed this study.BIPQ score was positively correlated with FoP-Q-SF score （r=0.238， P<0.01）， and negatively correlated with SSRS score in COPD patients （r=-0.260， P<0.01）. FoP-Q-SF score was negatively correlated with SSRS score （r=-0.271， P<0.01）. Social support mediated the relationship between illness perception and fear of progression， with an indirect effect value of 0.025 （95% CI： 0.009~0.041）， accounting for 13.02% of the total effect. ConclusionIllness perception can affect the fear of progression in COPD patients both directly and indirectly through social support. ［Funded by Nursing Research Project of Sichuan Province （number， H22010）］

Objective To investigate the critical role of macrophage M1 polarization in mediating the effect of periodontitis on the progression of chronic obstructive pulmonary disease(COPD).Methods Alveolar lavage fluid samples were collected from COPD patients with comorbid periodontitis,and gene expression analysis was performed to validate the changes in the expression of M1 polarization-related genes.A mouse model of COPD,with experimentally induced periodontitis,were established.Hematoxylin and eosin(HE)staining of pathological sections was performed to observe the effect of periodontitis on COPD progression.Flow cytometry,immunofluorescence staining,and reverse transcription quantitative polymerase chain reaction(RT-qPCR)were performed to analyze the effect of periodontitis on macrophage M1 polarization and the expression of relevant genes in the alveolar lavage fluid and lung tissues.Results In clinical samples of alveolar lavage fluid from COPD patients with periodontitis,the expression of macrophage M1 polarization-related genes,including CD86,inducible nitric oxide synthase(iNOS),interleukin(IL)-1β,tumor necrosis factor(TNF)-α,IL-23,and IL-6,was upregulated compared with that of COPD patients without periodontitis.Analysis of a mouse disease model revealed that periodontitis affected the growth of COPD mice,with the final body mass of mice in the periodontitis and COPD comorbid group([21.3±0.52]g,day 34)lower than that of the COPD group([23.93±0.45]g,day 34).Pathological sections of the lung tissue showed that periodontitis exacerbated COPD progression,with more pronounced alveolar expansion and alveolar wall destruction observed in the periodontitis and COPD comorbid group.Flow cytometry revealed a higher proportion of M1-polarized macrophages in alveolar lavage fluid from COPD and periodontitis comorbid mice([31.36±2.51]%)compared with the COPD mice([23.19±1.07]%).Immunofluorescence assays indicated that periodontitis also promoted macrophage M1 polarization in the lung tissue of COPD mice.Gene expression analysis demonstrated that M1 polarization-related gene expression was significantly upregulated in both the alveolar lavage fluid and lung tissue of mice in the COPD and periodontitis co-morbid group compared to the COPD group.Conclusion Periodontitis exacerbates COPD progression by promoting macrophage M1 polarization in the lungs.Enhancing oral hygiene management and targeting the inhibition of macrophage M1 polarization may represent new therapeutic strategies for the clinical prevention and control of COPD.

Objective To evaluate the predictive value of dose-surface histogram(DSH)for radiation proctitis(RP)in prostate cancer(PCa)patients undergoing radiotherapy.Methods This prospective randomized controlled clinical trial included 380 PCa patients who underwent image-guided radiotherapy in the First Affiliated Hospital of Hebei Northern University from January 2018 to January 2023.Patients were randomly divided into observation group(n=200)and control group(n=180).The rectal dose distribution of patients in the two groups was evaluated by using DSH and dose-volume histogram(DVH),respectively.The receiver operating characteristic(ROC)curve was utilized to evaluate the predictive value of DSH for acute RP,with DVH serving as a reference.Results The difference was not statistically significant in clinical information such as age,KPS score,and body mass index(BMI)between the observation and control groups(P＞0.05),as well as in acute RP incidence(P＞0.05).There were significant differences in S40 and V40,S50 and V50,S60 and V60,S70 and V70,and S78 and V78 between the two groups(P＜0.05).S40,S50,V40,and V50 showed low efficacy(P＜0.001)in predicting acute RP at each level,with AUC≤0.700.S60 and V60 showed moderate efficacy(P＜0.001)in predicting acute RP at each level,with AUC 0.700-0.900.S70,S78,V70 and V78 showed high efficacy(P＜0.001)in predicting acute RP at each level,with AUC＞0.900.Conclusions The predictive value of DSH for rectal toxicity in patients with PCa is basically consistent with that of DVH.It is expected to become a novel and valuable tool for evaluating radiotherapy plans in the future.