The Gabes aquifer system,located in southeastern Tunisia,is a crucial resource for supporting local socio-economic activities.Due to its dual porosity structure,is particularly vulnerable to pollution.This study aims ...The Gabes aquifer system,located in southeastern Tunisia,is a crucial resource for supporting local socio-economic activities.Due to its dual porosity structure,is particularly vulnerable to pollution.This study aims to develop a hybrid model that combines the Fracture Aquifer Index(FAI)with the conventional GOD(Groundwater occurrence,Overall lithology,Depth to water table)method,to assess groundwater vulnerability in fractured aquifer.To develop the hybrid model,the classical GOD method was integrated with FAI to produce a single composite index.Each parameter within both GOD and FAI was scored,and a final index was calculated to delineate vulnerable areas.The results show that the study area can be classified into four vulnerability levels:Very low,low,moderate,and high,indicating that approximately 8%of the area exhibits very low vulnerability,29%has low vulnerability,25%falls into the moderate category,and 38%is considered highly vulnerable.The FAI-GOD model further incorporates fracture network characteristics.This refinement reduces the classification to three vulnerability classes:Low,medium,and high.The outcomes demonstrate that 46%of the area is highly vulnerable due to a dense concentration of fractures,while 17%represents an intermediate zone characterized by either shallow or deeper fractures.In contrast,37%corresponds to areas with lightly fractured rock,where the impact on vulnerability is minimal.Multivariate statistical analysis was employed using Principal Components Analysis(PCA)and Hierarchical Cluster Analysis(HCA)on 24 samples across six variables.The first three components account for over 76%of the total variance,reinforcing the significance of fracture dynamics in classifying vulnerability levels.The FAI-GOD model removes the very-low-vulnerability class and expands the spatial extent of low-and high-vulnerability zones,reflecting the dominant influence of fracture networks on aquifer sensitivity.While both indices use a five-class system,FAI-GOD redistributes vulnerability by eliminating very-low-vulnerability areas and amplifying low/high categories,highlighting the critical role of fractures.A strong correlation(R2=0.94)between the GOD and FAI-GOD indices,demonstrated through second-order polynomial regression,confirms the robustness of the FAI-GOD model in accurately predicting vulnerability to pollution.This model provides a useful framework for assessing the vulnerability of complex aquifers and serves as a decision-making tool for groundwater managers in similar areas.展开更多
This commentary critically appraises the study by Li et al which pioneered the exploration of the triglyceride-glucose(TyG)index as a prognostic marker in hepatitis B virus-related advanced hepatocellular carcinoma pa...This commentary critically appraises the study by Li et al which pioneered the exploration of the triglyceride-glucose(TyG)index as a prognostic marker in hepatitis B virus-related advanced hepatocellular carcinoma patients undergoing combined camrelizumab and lenvatinib therapy.While we acknowledge the study’s clinical relevance in proposing an easily accessible metabolic biomarker,we delve into the mechanistic plausibility linking insulin resistance to immunotherapy response and angiogenic inhibition.We further critically examine the methodological limitations,including the retrospective design,the populationspecific TyG cut-off value,and unaddressed metabolic confounders.We highlight the imperative for future research to validate its utility across diverse etiologies and treatment settings,and to unravel the underlying immunometabolic pathways.展开更多
BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an e...BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.展开更多
BACKGROUND Gastric cancer(GC)is the fifth most common cancer and the third leading cause of cancer-related deaths in China.Many patients with GC frequently experience symptoms related to the disease,including anorexia...BACKGROUND Gastric cancer(GC)is the fifth most common cancer and the third leading cause of cancer-related deaths in China.Many patients with GC frequently experience symptoms related to the disease,including anorexia,nausea,vomiting,and other discomforts,and often suffer from malnutrition,which in turn negatively affects perioperative safety,prognosis,and the effectiveness of adjuvant therapeutic measures.Consequently,some nutritional indicators such as nutritional risk index(NRI),prognostic nutritional index(PNI),and systemic immune-inflammatorynutritional index(SIINI)can be used as predictors of the prognosis of GC patients.AIM To examine the prognostic significance of PNI,NRI,and SIINI in postoperative patients with GC.METHODS A retrospective analysis was conducted on the clinical data of patients with GC who underwent surgical treatment at the Guangxi Medical University Cancer Hospital between January 2010 and December 2018.The area under the receiver operating characteristic(ROC)curve was assessed using ROC curve analysis,and the optimal cutoff values for NRI,PNI,and SIINI were identified using the You-Review-HTMLden index.Survival analysis was performed using the Kaplan-Meier method.In addition,univariate and multivariate analyses were conducted using the Cox proportional hazards regression model.RESULTS This study included a total of 803 patients.ROC curves were used to evaluate the prognostic ability of NRI,PNI,and SIINI.The results revealed that SIINI had superior predictive accuracy.Survival analysis indicated that patients with GC in the low SIINI group had a significantly better survival rate than those in the high SIINI group(P<0.05).Univariate analysis identified NRI[hazard ratio(HR)=0.68,95%confidence interval(CI):0.52-0.89,P=0.05],PNI(HR=0.60,95%CI:0.46-0.79,P<0.001),and SIINI(HR=2.10,95%CI:1.64-2.69,P<0.001)as prognostic risk factors for patients with GC.However,multifactorial analysis indicated that SIINI was an independent risk factor for the prognosis of patients with GC(HR=1.65,95%CI:1.26-2.16,P<0.001).CONCLUSION Analysis of clinical retrospective data revealed that SIINI is a valuable indicator for predicting the prognosis of patients with GC.Compared with NRI and PNI,SIINI may offer greater application for prognostic assessment.展开更多
This editorial comments on the study by Tao et al,emphasizing the scalable diagnostic tool for metabolic dysfunction-associated steatotic liver disease(MASLD)in type 2 diabetes mellitus(T2DM).Classical indices such as...This editorial comments on the study by Tao et al,emphasizing the scalable diagnostic tool for metabolic dysfunction-associated steatotic liver disease(MASLD)in type 2 diabetes mellitus(T2DM).Classical indices such as the fatty liver index(FLI),hepatic steatosis index(HSI),and non-alcoholic fatty liver disease-liver fat score have provided valuable insights.Still,their predictive accuracy often varies across populations and clinical settings.In Western cohorts,FLI and HSI are widely applied,yet they depend heavily on anthropometric or categorical variables,which limits their sensitivity in Asian populations.The Zhejiang University index(ZJU index),developed in China,integrates fasting glucose,triglycerides,hepatic enzyme ratios,and body mass index into a composite score of insulin resistance.Recent studies show that the ZJU index outperforms FLI and HSI in predicting MASLD among Chinese patients,particularly those with T2DM,where it demonstrates a nonlinear association with disease risk and identifies a critical threshold of 38.87.The ZJU index links to conditions like sarcopenia,sleep apnea,and gallstones,showing its versatility in metabolic health.This editorial compares its performance with other indices and emphasizes the ZJU index as a nextgeneration tool for MASLD risk stratification globally.展开更多
Based on optofluidics and whispering gallery mode(WGM)theory,here an optofluidic refractive index sensor with microtube-coupled suspended core fiber(SCF)is proposed.It solves the issues of general sensors with microca...Based on optofluidics and whispering gallery mode(WGM)theory,here an optofluidic refractive index sensor with microtube-coupled suspended core fiber(SCF)is proposed.It solves the issues of general sensors with microcavity-coupled fiber taper such as too fragile,unstable performance due to open coupling,poor portability and repeatability,while overcoming the poor performance of low refractive index sensing in general full-package fiber sensors.The sensor only needs a very small amount of liquid sample(about 1.8 nL).The proposed sensor combines the excellent performance of full package,optofluidics and WGM resonator.The resonant characteristics and sensing performance of the sensor are analyzed and discussed by the theoretical simulation.The simulation results indicate that the sensor has a wide refractive index sensing range(1.330-1.700)and good performance.The resonance wavelength shift has a good linear relationship with the liquid refractive index variation.In the low refractive index region,the sensitivity is 222.5-247.5 nm/RIU,Q-factor is 1.03×10^(3) and the detection limit is 3.64×10^(-4) RIU.In the medium and high refractive index regions,the sensitivity is 564.4-846.2 nm/RIU,Q-factor is up to 8.62×10^(4),and the detection limit can be as low as 1.29×10^(-6) RIU.The sensor exhibits a high sensitivity,a high Q-factor and a very low detection limit.展开更多
The statistics of the China natural gas industry prosperity index showed that the China natural gas industry prosperity index was 357.68 in the 2nd quarter of 2025,up 3.1% from the 1st quarter of 2025,a stably prosper...The statistics of the China natural gas industry prosperity index showed that the China natural gas industry prosperity index was 357.68 in the 2nd quarter of 2025,up 3.1% from the 1st quarter of 2025,a stably prosperous state in the short term and a very prosperous state in the medium to long term;the prosperity index of natural gas production companies was 542.01 in the 2nd quarter of 2025,up 4.8% from the 1st quarter of 2025,an increasingly prosperous state in the short term and a very prosperous state in the medium to long term;the prosperity index of natural gas sales companies was 209.06 in the 2nd quarter of 2025,up 0.4% from the 1st quarter of 2025,an increasing prosperity in the short term and a prosperous state in the medium to long term;the prosperity trend index of the natural gas industry in the coming year for the 2nd quarter of 2025 was 765.70,up 4.1% from the 1st quarter of 2025,a very prosperous state,indicating that natural gas industry experts are optimistic about the natural gas industry’s prosperity trend in the coming year.See Fig.1 and Table 1 for details.展开更多
The Dst index has been commonly used to measure the geomagnetic effectiveness of magnetic storm events for several decades.Based on Burton’s empirical Dst model and the global magneto-hydrodynamic(MHD)simulation of E...The Dst index has been commonly used to measure the geomagnetic effectiveness of magnetic storm events for several decades.Based on Burton’s empirical Dst model and the global magneto-hydrodynamic(MHD)simulation of Earth’s magnetosphere,here we proposed a semi-empirical model to forecast the Dst index during geomagnetic storms.In this model,the ring current contribution to the Dst index is derived from Burton’s model,while the contributions from other current systems are obtained from the global MHD simulation.In order to verify the model accuracy,a number of recent magnetic storm events are tested and the simulated Dst index is compared with the observation through the correlation coefficient(CC),prediction efficiency(PE),root mean square error(RMSE)and central root mean square error(CRMSE).The results indicate that,in the context of moderate and intense geomagnetic storm events,the semi-empirical model performs well in global MHD simulations,showing relatively higher CC and PE,and lower RMSE and CRMSE compared to those from the empirical model.Compared with the physics-based ring current models,this model inherits the advantage of fast processing from the empirical model,and easy implementation in a global MHD model of Earth’s magnetosphere.Therefore,it is suitable for the Dst estimation under a context of a global MHD simulation.展开更多
BACKGROUND Acute kidney injury(AKI)is a frequent complication after liver transplantation(LT).How to realize the early diagnosis of AKI,perform active intervention,and reduce the mortality of post-LT patients is an ur...BACKGROUND Acute kidney injury(AKI)is a frequent complication after liver transplantation(LT).How to realize the early diagnosis of AKI,perform active intervention,and reduce the mortality of post-LT patients is an urgent problem to be solved.AIM To investigate the accuracy of hepatorenal index(HRI)and renal resistive index(RRI)in monitoring of early AKI after LT.METHODS This observational study included adult deceased-donor LT recipients at our center between February 2022 and February 2023 with no preoperative renal dysfunction.The HRI and RRI were recorded once per day in the postoperative period through to postoperative day(POD)7.We followed up with the patients at 1 month after LT.The patients were divided into the AKI and non-AKI groups according to the Kidney Disease Improving Global Outcomes criteria.RESULTS Of 121 patients were included in the study(mean age:50.18±8.88years;female:17.36%).AKI developed in 53 patients(43.80%).The AKI and non-AKI groups were similar in terms of their baseline characteristics.An HRI of≤1.12 on POD 1 detected AKI with a sensitivity of 62.30%and a specificity of 87.80%[area under the receiver operating characteristic curve(AUC)=0.801,P<0.01].An RRI of≥0.65 on POD 1 detected AKI with a sensitivity of 87.80%and a specificity of 67.60%(AUC=0.825,P<0.01).The HRI combined with the RRI was more effective at detecting AKI than either the HRI or RRI alone(AUC=0.890,P<0.01).The HRI increased as AKI resolved while the RRI decreased as AKI resolved.CONCLUSION The HRI and RRI are non-invasive bedside indices that can identify the occurrence and recovery of early AKI after LT.展开更多
Body mass index(BMI),with its simple formula of weight divided by height squared,has become a cornerstone tool in global public health for assessing obesity and health risks.However,as populations aging and the demand...Body mass index(BMI),with its simple formula of weight divided by height squared,has become a cornerstone tool in global public health for assessing obesity and health risks.However,as populations aging and the demand for precise health evaluation grows,the limitations of this single metric have become increasingly apparent—it fails to distinguish between muscle and adipose tissue and cannot capture the complex relationship between inflammatory status and body composition.A recent study published in Biomedical and Environmental Sciences(BES)by Zhang et al.[1],which explores the association of white blood cell(WBC)count,platelet(PLT)count,and platelet-to-white blood cell ratio(PWR)with muscle mass among Chinese communitydwelling older adults,provides critical evidence for rethinking the role of BMI.Additionally,several studies published in BES,spanning from childhood nutrition to adult metabolism,further illuminate the complexity of health assessment[2−5].Building on these findings and integrating evidence from multiple Chinese population studies,this commentary revisits the historical context,utility,inherent limitations,and future directions of this classic indicator.展开更多
BACKGROUND The correlation between geriatric nutritional risk index(GNRI)and the prognosis of patients with osteoporosis or osteopenia has not been studied.This study aims to explore the relationship between GNRI and ...BACKGROUND The correlation between geriatric nutritional risk index(GNRI)and the prognosis of patients with osteoporosis or osteopenia has not been studied.This study aims to explore the relationship between GNRI and the cardiovascular disease(CVD)and all-cause mortality rates in elderly patients with osteoporosis or osteopenia.METHODS This study included 4756 patients with osteoporosis and osteopenia from five cycles of the National Health and Nutrition Examination Survey(NHANES).We used multivariable Cox regression and subgroup analyses to investigate the correlation between GNRI and mortality rates.The restricted cubic spline analysis was used to assess the dose-response relationship between GNRI and mortality risk.Mediation analysis was conducted to examine the mediating effect of chronic kidney disease on the relationship between nutritional risk and mortality.RESULTS During a median follow-up period of 114 months,a total of 1241 deaths(26.09%)occurred,including 300 deaths due to CVD(6.31%).In the fully adjusted Model 3,compared to the no-risk group,the risk group showed significantly increased all-cause mortality risk(HR=2.05,95%CI:1.74–2.40)and CVD mortality risk(HR=1.88,95%CI:1.30–2.71).The restricted cubic spline analysis indicated a non-linear association between GNRI and all-cause mortality risk as well as CVD mortality risk.The mediation analysis results indicated that chronic kidney disease mediates 16.9%of the effect of nutritional risk on all-cause mortality and 25.3%on CVD mortality risk.CONCLUSIONS GNRI can serve as a predictive factor for all-cause and CVD mortality rates in elderly patients with osteoporosis or osteopenia.展开更多
BACKGROUND Gastric cancer,a globally prevalent malignant tumor,continues to exhibit high incidence and mortality rates.Although radical gastrectomy remains the primary treatment for this disease,postoperative complica...BACKGROUND Gastric cancer,a globally prevalent malignant tumor,continues to exhibit high incidence and mortality rates.Although radical gastrectomy remains the primary treatment for this disease,postoperative complications frequently arise,negatively impacting short-term recovery and significantly reducing patients’quality of life.In this context,accurately predicting the risk of postoperative recurrence and metastasis,coupled with targeted interventions,could substantially improve patient outcomes.The C-reactive protein-triglyceride-glucose index(CTI),a composite biomarker that integrates metabolic disturbances and systemic inflammation,has garnered increasing attention in oncology.The prognostic nutritional index(PNI),a composite measure based on serum albumin and peripheral blood lymphocyte count,is used to evaluate both the nutritional status and systemic immune function of patients.In recent years,both the CTI and PNI have demonstrated significant prognostic value in predicting tumor outcomes,assessing treatment responses,and formulating personalized treatment strategies.AIM To investigate whether the combined inflammation and insulin resistance marker,the CTI,can serve as a prognostic indicator for patients undergoing radical gastrectomy for gastric cancer.Additionally,it seeks to develop a predictive model by incorporating the PNI alongside CTI.METHODS This retrospective study included a total of 300 patients who underwent radical gastrectomy.The patients were classified into high and low CTI groups based on their CTI index.Cox proportional hazards regression analysis was performed to identify independent prognostic factors influencing overall survival(OS)and disease-free survival(DFS),and two nomogram models were developed.RESULTS Of the included patients,131 had a high CTI and 169 had a low CTI.The DFS period of the low CTI group was significantly longer than that of the high CTI group.The number of postoperative adjuvant treatments,T stage,N stage,CTI,and PNI were identified as independent prognostic factors for DFS.The hazard ratio for CTI was 2.07(95%confidence interval:1.36-3.17,P<0.001).In terms of OS,the OS period of the low CTI group was significantly longer than that of the high CTI group.Whether adjuvant treatment was administered,T stage,CTI,and PNI were independent prognostic factors for OS.The hazard ratio for CTI was 2.47(95%confidence interval:1.44-4.23,P=0.001).The nomogram models for OS and DFS further emphasized the importance of CTI as a key predictor of patient prognosis.CONCLUSION CTI is a long-term prognostic indicator for the outcome of radical gastrectomy for gastric cancer.Patients with lower CTI values have a better prognosis.The prediction models constructed by combining CTI with PNI has good predictive ability for DFS and OS after radical gastrectomy.展开更多
Background Percutaneous coronary intervention(PCI)is a widely utilized revascularization technique for coronary artery disease(CAD).While clinical and biomarker-based prognostic tools are standard for predicting outco...Background Percutaneous coronary intervention(PCI)is a widely utilized revascularization technique for coronary artery disease(CAD).While clinical and biomarker-based prognostic tools are standard for predicting outcomes,there is growing interest in sarcopenia as a marker of frailty and its potential role in long-term prognosis.The prognostic value of the psoas muscle index(PMI),a sarcopenia metric,remains underexplored in PCI populations regarding long term survival.Methods This single-center retrospective cohort study evaluated 177 patients undergoing PCI from 2015 to 2019.PMI was calculated from computed tomography(CT)imaging at the L3 vertebral level using the formula:(left psoas area+right psoas area)/height2 and expressed in cm^(2)/m^(2).Sarcopenia was defined as the lowest sex-specific PMI quartile.Primary outcomes included 5-year all-cause mortality and 3-point major adverse cardiovascular events(MACE:non-fatal myocardial infarction,ischemic stroke,and cardiac death).Binary linear regression and Cox proportional hazards models were utilized to determine associations between PMI and outcomes Results Sarcopenic patients exhibited significantly higher 5-year all-cause mortality compared to non-sarcopenic counterparts(64.4%vs.35.6%,P<0.001),while no significant difference was observed in 3-point MACE incidence(55.6%vs.51.4%,P=0.520).Sarcopenia was independently associated with all-cause mortality on binary logistic regression(OR=3.49;95%CI:1.69–7.19;P=0.0007),but not MACE(OR=1.00;95%CI:0.50–1.98;P=0.99).In a multivariable Cox regression model,sarcopenia was associated with increased hazard of mortality(HR=1.60;95%CI:0.96–2.66;P=0.071),though this did not reach statistical significance.Kaplan-Meier analysis demonstrated significantly reduced survival among sarcopenic patients(χ^(2)=6.13,P=0.0133).Conclusions PMI is a significant independent predictor of 5-year all-cause mortality in PCI patients,underscoring the prognostic importance of assessing skeletal muscle mass in this population.展开更多
A D-type photonic crystal fiber(PCF) sensor based on surface plasmon resonance(SPR) principle is designed.In order to excite the SPR effect,a gold film is plated on the open-loop channel of the sensor,the free electro...A D-type photonic crystal fiber(PCF) sensor based on surface plasmon resonance(SPR) principle is designed.In order to excite the SPR effect,a gold film is plated on the open-loop channel of the sensor,the free electrons in a metal are resonated with photons.The structural parameters are fine-tuned and the sensing performance of the sensor is studied.The results show that the maximum spectral sensitivity reaches 18 000 nm/RIU in the refractive index range of 1.24—1.32,and the maximum resolution is 5.56×10^(-6) RIU.The novel structure with high sensitivity and low refractive index provides a new perspective for fluid density detection.展开更多
BACKGROUND The Zhejiang University(ZJU)index has been demonstrated to have notable value in predicting metabolic dysfunction-associated steatotic liver disease(MASLD)within Chinese populations.However,the correlation ...BACKGROUND The Zhejiang University(ZJU)index has been demonstrated to have notable value in predicting metabolic dysfunction-associated steatotic liver disease(MASLD)within Chinese populations.However,the correlation between the ZJU index and MASLD in type 2 diabetes mellitus(T2DM)patients remains to be elucidated.AIM To investigate the association between the ZJU index and MASLD among patients with T2DM.METHODS This cross-sectional study was conducted on hospitalised patients diagnosed with T2DM.Anthropometric measurements,laboratory data,and ultrasound results were initially collected from all patients.The ZJU index was subsequently calculated.Regression analysis was then used to explore risk factors affecting MASLD,and the optimal ZJU index cut-off value for diagnosing MASLD was determined using restricted cubic spline analysis.Finally,a new model for predicting MASLD in T2DM patients based on the ZJU index was constructed.This model was based on the risk factors identified by regression analysis,and the area under curve values were calculated.The validity and reliability of the models were then compared with each other.RESULTS A total of 688 patients with T2DM were included in this study.A significant positive correlation was identified between the ZJU index and the development of MASLD.Furthermore,the results of the restricted cubic spline analysis showed a non-linear association between ZJU index and MASLD.The ZJU value of 38.87 was identified as the key threshold for diagnosing MASLD.The new predictive model,which was developed by regression analysis,demonstrated a higher diagnostic value for MASLD and exhibited good accuracy in comparison with metabolic indices alone(area under curve=0.76,95%confidence interval:0.72-0.80).CONCLUSION The ZJU index has been shown to be linked to the risk of developing MASLD,and the new model constructed has been shown to possess good predictive value.展开更多
BACKGROUND The atherogenic index of plasma(AIP)has been shown to be positively correlated with cardiovascular disease in previous studies.However,it is unclear whether elderly people with long-term high AIP levels are...BACKGROUND The atherogenic index of plasma(AIP)has been shown to be positively correlated with cardiovascular disease in previous studies.However,it is unclear whether elderly people with long-term high AIP levels are more likely to develop coronary heart disease(CHD).Therefore,the aim of this study was to investigate the relationship between AIP trajectory and CHD incidence in elderly people.METHODS 19,194 participants aged≥60 years who had three AIP measurements between 2018 and 2020 were included in this study.AIP was defined as log10(triglyceride/high-density lipoprotein cholesterol).The group-based trajectory model was used to identify different trajectory patterns of AIP from 2018 to 2020.Cox proportional hazards models were used to estimate the hazard ratio(HR)with 95%CI of CHD events between different trajectory groups from 2020 to 2023.RESULTS Three different trajectory patterns were identified through group-based trajectory model:the low-level group(n=7410,mean AIP:-0.25 to-0.17),the medium-level group(n=9981,mean AIP:0.02-0.08),and the high-level group(n=1803,mean AIP:0.38-0.42).During a mean follow-up of 2.65 years,a total of 1391 participants developed CHD.After adjusting for potential confounders,compared with the participants in the low-level group,the HR with 95%CI of the medium-level group and the high-level group were estimated to be 1.24(1.10-1.40)and 1.43(1.19-1.73),respectively.These findings remained consistent in subgroup analyses and sensitivity analyses.CONCLUSIONS There was a significant correlation between persistent high AIP level and increased CHD risk in the elderly.This suggests that monitoring the long-term changes in AIP is helpful to identify individuals at high CHD risk in elderly people.展开更多
In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in...In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.展开更多
BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neut...BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammatory index(SII)for GC.METHODS The baseline data of 133 patients with GC and 134 patients with precancerous gastric conditions admitted between January 2022 and December 2023 were retrospectively analyzed.The information on peripheral blood platelet,neutrophil,and lymphocyte counts in each patient was collected,and the NLR,PLR,and SII levels of both groups were calculated.Additionally,multivariate logistic regression analysis was conducted,and the diagnostic implications of NLR,PLR,and SII in differentiating patients with precancerous gastric conditions,compared with those with GC,were analyzed through receiver operating characteristic(ROC)curves.RESULTS The data indicated that NLR,PLR,and SII had abnormally increased levels in the patients with GC.Gender and body mass index were risk factors for the occurrence of GC.ROC data revealed that the areas under the curve of three patients with precancerous gastric conditions,who were differentiated from those with GC,were 0.824,0.787,and 0.842,respectively.CONCLUSION NLR,PLR,and SII are all abnormally expressed in GC and have diagnostic implications,especially when used as joint indicators,in distinguishing patients with precancerous gastric conditions from those with GC.展开更多
BACKGROUND Acute liver failure(ALF)is a life-threatening multisystemic condition with high short-term mortality.With the growing prevalence of obesity and metabolic syndrome,it is important to investigate the clinical...BACKGROUND Acute liver failure(ALF)is a life-threatening multisystemic condition with high short-term mortality.With the growing prevalence of obesity and metabolic syndrome,it is important to investigate the clinical implications of high body mass index(BMI)on survival outcomes in ALF.AIM To explore the impact of overweight and obesity on the clinical outcomes of patients with ALF.METHODS A retrospective observational cohort study was conducted involving patients with ALF admitted to the Johns Hopkins Health System between January 1,2000 and May 1,2020.We performed Cox proportional hazards regression to identify outcomes,including the need for liver transplantation(LT)or all-cause mortality.RESULTS A total of 196 patients were included,the median age was 43.5 years,63.3%were female,and 59.7%were of Caucasian ethnicity.Acetaminophen-induced ALF was the most common etiology(45%).The mean BMI was significantly greater among patients who underwent LT or died(29.64 kg/m^(2)vs 26.59 kg/m^(2),P=0.008)than among survivors.Patients with overweight and obesity had a higher risk of all-cause mortality or need for LT by 2.22-fold(95%CI:1.30-3.78)and 2.04-fold(95%CI:1.29-3.39),respectively.Elevated BMI was associated with renal failure and higher grades of hepatic encephalopathy.Derangements in serologic markers,including alanine transaminase,lactate,and ammonia,were associated with a mortality risk or need for LT.CONCLUSION In this large,retrospective study,with a diverse cohort of United States patients,Overweight and obese were independently associated with an increased risk of all-cause mortality or need for LT.This work highlights the importance of closely monitoring ALF patients who are overweight or obese for adverse complications and measures to improve outcomes in this vulnerable patient population.展开更多
文摘The Gabes aquifer system,located in southeastern Tunisia,is a crucial resource for supporting local socio-economic activities.Due to its dual porosity structure,is particularly vulnerable to pollution.This study aims to develop a hybrid model that combines the Fracture Aquifer Index(FAI)with the conventional GOD(Groundwater occurrence,Overall lithology,Depth to water table)method,to assess groundwater vulnerability in fractured aquifer.To develop the hybrid model,the classical GOD method was integrated with FAI to produce a single composite index.Each parameter within both GOD and FAI was scored,and a final index was calculated to delineate vulnerable areas.The results show that the study area can be classified into four vulnerability levels:Very low,low,moderate,and high,indicating that approximately 8%of the area exhibits very low vulnerability,29%has low vulnerability,25%falls into the moderate category,and 38%is considered highly vulnerable.The FAI-GOD model further incorporates fracture network characteristics.This refinement reduces the classification to three vulnerability classes:Low,medium,and high.The outcomes demonstrate that 46%of the area is highly vulnerable due to a dense concentration of fractures,while 17%represents an intermediate zone characterized by either shallow or deeper fractures.In contrast,37%corresponds to areas with lightly fractured rock,where the impact on vulnerability is minimal.Multivariate statistical analysis was employed using Principal Components Analysis(PCA)and Hierarchical Cluster Analysis(HCA)on 24 samples across six variables.The first three components account for over 76%of the total variance,reinforcing the significance of fracture dynamics in classifying vulnerability levels.The FAI-GOD model removes the very-low-vulnerability class and expands the spatial extent of low-and high-vulnerability zones,reflecting the dominant influence of fracture networks on aquifer sensitivity.While both indices use a five-class system,FAI-GOD redistributes vulnerability by eliminating very-low-vulnerability areas and amplifying low/high categories,highlighting the critical role of fractures.A strong correlation(R2=0.94)between the GOD and FAI-GOD indices,demonstrated through second-order polynomial regression,confirms the robustness of the FAI-GOD model in accurately predicting vulnerability to pollution.This model provides a useful framework for assessing the vulnerability of complex aquifers and serves as a decision-making tool for groundwater managers in similar areas.
文摘This commentary critically appraises the study by Li et al which pioneered the exploration of the triglyceride-glucose(TyG)index as a prognostic marker in hepatitis B virus-related advanced hepatocellular carcinoma patients undergoing combined camrelizumab and lenvatinib therapy.While we acknowledge the study’s clinical relevance in proposing an easily accessible metabolic biomarker,we delve into the mechanistic plausibility linking insulin resistance to immunotherapy response and angiogenic inhibition.We further critically examine the methodological limitations,including the retrospective design,the populationspecific TyG cut-off value,and unaddressed metabolic confounders.We highlight the imperative for future research to validate its utility across diverse etiologies and treatment settings,and to unravel the underlying immunometabolic pathways.
基金Supported by Inter Disciplinary Direction Cultivation Project of Hunan University of Chinese Medicine,No.2025JC01032025 Hunan Province Science and Technology Innovation Plan Project,No.2025RC9012+2 种基金2022"Unveiling and Leading"Project of Discipline Construction at Hunan University of Chinese Medicine,No.22JBZ044Changsha Municipal Natural Science Foundation,No.kq2402174Hunan Provincial Science Popularization Fund Project,No.2025ZK4223.
文摘BACKGROUND Timely and accurate evaluation of mental disorders in adolescents using appropriate mental health literacy assessment tools is essential for improving their mental health literacy levels.AIM To develop an evaluation index system for the mental health literacy of adolescent patients with mental disorders,providing a scientific,comprehensive,and reliable tool for the monitoring and intervention of mental health literacy of such patients.METHODS From December 2022 to June 2023,the evaluation index system for mental health literacy of adolescents with mental disorders was developed through literature reviews,semi-structured interviews,expert letter consultations,and the analytic hierarchy process.Based on this index system,a self-assessment questionnaire was compiled and administered to 305 adolescents with mental disorders to test the reliability and validity of the index system.RESULTS The final evaluation index system for mental health literacy of adolescents with mental disorders included 4 first-level indicators,10 second-level indicators,and 52 third-level indicators.The overall Cronbach’sαcoefficient of the index system was 0.957,with a partial reliability of 0.826 and a content validity index of 0.975.The cumulative variance contribution rate of 10 common factors was 66.491%.The correlation coefficients between each dimension and the total questionnaire ranged from 0.672 to 0.724,while the correlation coefficients in each dimension ranged from 0.389 to 0.705.CONCLUSION The evaluation index system for mental health literacy of adolescents with mental disorders,developed in this study,demonstrated notable reliability and validity,making it a valuable tool for evaluating mental health literacy in this population.
基金Supported by the Scientific Research Project of Hospital Pharmacy of Guangxi Pharmaceutical Association in 2022,No.GXYXH1-202202.
文摘BACKGROUND Gastric cancer(GC)is the fifth most common cancer and the third leading cause of cancer-related deaths in China.Many patients with GC frequently experience symptoms related to the disease,including anorexia,nausea,vomiting,and other discomforts,and often suffer from malnutrition,which in turn negatively affects perioperative safety,prognosis,and the effectiveness of adjuvant therapeutic measures.Consequently,some nutritional indicators such as nutritional risk index(NRI),prognostic nutritional index(PNI),and systemic immune-inflammatorynutritional index(SIINI)can be used as predictors of the prognosis of GC patients.AIM To examine the prognostic significance of PNI,NRI,and SIINI in postoperative patients with GC.METHODS A retrospective analysis was conducted on the clinical data of patients with GC who underwent surgical treatment at the Guangxi Medical University Cancer Hospital between January 2010 and December 2018.The area under the receiver operating characteristic(ROC)curve was assessed using ROC curve analysis,and the optimal cutoff values for NRI,PNI,and SIINI were identified using the You-Review-HTMLden index.Survival analysis was performed using the Kaplan-Meier method.In addition,univariate and multivariate analyses were conducted using the Cox proportional hazards regression model.RESULTS This study included a total of 803 patients.ROC curves were used to evaluate the prognostic ability of NRI,PNI,and SIINI.The results revealed that SIINI had superior predictive accuracy.Survival analysis indicated that patients with GC in the low SIINI group had a significantly better survival rate than those in the high SIINI group(P<0.05).Univariate analysis identified NRI[hazard ratio(HR)=0.68,95%confidence interval(CI):0.52-0.89,P=0.05],PNI(HR=0.60,95%CI:0.46-0.79,P<0.001),and SIINI(HR=2.10,95%CI:1.64-2.69,P<0.001)as prognostic risk factors for patients with GC.However,multifactorial analysis indicated that SIINI was an independent risk factor for the prognosis of patients with GC(HR=1.65,95%CI:1.26-2.16,P<0.001).CONCLUSION Analysis of clinical retrospective data revealed that SIINI is a valuable indicator for predicting the prognosis of patients with GC.Compared with NRI and PNI,SIINI may offer greater application for prognostic assessment.
文摘This editorial comments on the study by Tao et al,emphasizing the scalable diagnostic tool for metabolic dysfunction-associated steatotic liver disease(MASLD)in type 2 diabetes mellitus(T2DM).Classical indices such as the fatty liver index(FLI),hepatic steatosis index(HSI),and non-alcoholic fatty liver disease-liver fat score have provided valuable insights.Still,their predictive accuracy often varies across populations and clinical settings.In Western cohorts,FLI and HSI are widely applied,yet they depend heavily on anthropometric or categorical variables,which limits their sensitivity in Asian populations.The Zhejiang University index(ZJU index),developed in China,integrates fasting glucose,triglycerides,hepatic enzyme ratios,and body mass index into a composite score of insulin resistance.Recent studies show that the ZJU index outperforms FLI and HSI in predicting MASLD among Chinese patients,particularly those with T2DM,where it demonstrates a nonlinear association with disease risk and identifies a critical threshold of 38.87.The ZJU index links to conditions like sarcopenia,sleep apnea,and gallstones,showing its versatility in metabolic health.This editorial compares its performance with other indices and emphasizes the ZJU index as a nextgeneration tool for MASLD risk stratification globally.
基金supported by the National Natural Science Foundation of China(No.12174199)the Wanjing Horizontal Research and Development Fund for Nature(No.HJ1060319960015).
文摘Based on optofluidics and whispering gallery mode(WGM)theory,here an optofluidic refractive index sensor with microtube-coupled suspended core fiber(SCF)is proposed.It solves the issues of general sensors with microcavity-coupled fiber taper such as too fragile,unstable performance due to open coupling,poor portability and repeatability,while overcoming the poor performance of low refractive index sensing in general full-package fiber sensors.The sensor only needs a very small amount of liquid sample(about 1.8 nL).The proposed sensor combines the excellent performance of full package,optofluidics and WGM resonator.The resonant characteristics and sensing performance of the sensor are analyzed and discussed by the theoretical simulation.The simulation results indicate that the sensor has a wide refractive index sensing range(1.330-1.700)and good performance.The resonance wavelength shift has a good linear relationship with the liquid refractive index variation.In the low refractive index region,the sensitivity is 222.5-247.5 nm/RIU,Q-factor is 1.03×10^(3) and the detection limit is 3.64×10^(-4) RIU.In the medium and high refractive index regions,the sensitivity is 564.4-846.2 nm/RIU,Q-factor is up to 8.62×10^(4),and the detection limit can be as low as 1.29×10^(-6) RIU.The sensor exhibits a high sensitivity,a high Q-factor and a very low detection limit.
文摘The statistics of the China natural gas industry prosperity index showed that the China natural gas industry prosperity index was 357.68 in the 2nd quarter of 2025,up 3.1% from the 1st quarter of 2025,a stably prosperous state in the short term and a very prosperous state in the medium to long term;the prosperity index of natural gas production companies was 542.01 in the 2nd quarter of 2025,up 4.8% from the 1st quarter of 2025,an increasingly prosperous state in the short term and a very prosperous state in the medium to long term;the prosperity index of natural gas sales companies was 209.06 in the 2nd quarter of 2025,up 0.4% from the 1st quarter of 2025,an increasing prosperity in the short term and a prosperous state in the medium to long term;the prosperity trend index of the natural gas industry in the coming year for the 2nd quarter of 2025 was 765.70,up 4.1% from the 1st quarter of 2025,a very prosperous state,indicating that natural gas industry experts are optimistic about the natural gas industry’s prosperity trend in the coming year.See Fig.1 and Table 1 for details.
基金supported by NNSFC grants 42150101,42188105,42304189National Key R&D program of China No.2021YFA-0718600the Pandeng Program of National Space Science Center,Chinese Academy of Sciences.
文摘The Dst index has been commonly used to measure the geomagnetic effectiveness of magnetic storm events for several decades.Based on Burton’s empirical Dst model and the global magneto-hydrodynamic(MHD)simulation of Earth’s magnetosphere,here we proposed a semi-empirical model to forecast the Dst index during geomagnetic storms.In this model,the ring current contribution to the Dst index is derived from Burton’s model,while the contributions from other current systems are obtained from the global MHD simulation.In order to verify the model accuracy,a number of recent magnetic storm events are tested and the simulated Dst index is compared with the observation through the correlation coefficient(CC),prediction efficiency(PE),root mean square error(RMSE)and central root mean square error(CRMSE).The results indicate that,in the context of moderate and intense geomagnetic storm events,the semi-empirical model performs well in global MHD simulations,showing relatively higher CC and PE,and lower RMSE and CRMSE compared to those from the empirical model.Compared with the physics-based ring current models,this model inherits the advantage of fast processing from the empirical model,and easy implementation in a global MHD model of Earth’s magnetosphere.Therefore,it is suitable for the Dst estimation under a context of a global MHD simulation.
基金Supported by the Clinical+X Scientific Research Project of Affiliated Hospital of Qingdao University,No.QYFY+X202101060Natural Science Foundation of Shandong Province,No.ZR2023MH240.
文摘BACKGROUND Acute kidney injury(AKI)is a frequent complication after liver transplantation(LT).How to realize the early diagnosis of AKI,perform active intervention,and reduce the mortality of post-LT patients is an urgent problem to be solved.AIM To investigate the accuracy of hepatorenal index(HRI)and renal resistive index(RRI)in monitoring of early AKI after LT.METHODS This observational study included adult deceased-donor LT recipients at our center between February 2022 and February 2023 with no preoperative renal dysfunction.The HRI and RRI were recorded once per day in the postoperative period through to postoperative day(POD)7.We followed up with the patients at 1 month after LT.The patients were divided into the AKI and non-AKI groups according to the Kidney Disease Improving Global Outcomes criteria.RESULTS Of 121 patients were included in the study(mean age:50.18±8.88years;female:17.36%).AKI developed in 53 patients(43.80%).The AKI and non-AKI groups were similar in terms of their baseline characteristics.An HRI of≤1.12 on POD 1 detected AKI with a sensitivity of 62.30%and a specificity of 87.80%[area under the receiver operating characteristic curve(AUC)=0.801,P<0.01].An RRI of≥0.65 on POD 1 detected AKI with a sensitivity of 87.80%and a specificity of 67.60%(AUC=0.825,P<0.01).The HRI combined with the RRI was more effective at detecting AKI than either the HRI or RRI alone(AUC=0.890,P<0.01).The HRI increased as AKI resolved while the RRI decreased as AKI resolved.CONCLUSION The HRI and RRI are non-invasive bedside indices that can identify the occurrence and recovery of early AKI after LT.
文摘Body mass index(BMI),with its simple formula of weight divided by height squared,has become a cornerstone tool in global public health for assessing obesity and health risks.However,as populations aging and the demand for precise health evaluation grows,the limitations of this single metric have become increasingly apparent—it fails to distinguish between muscle and adipose tissue and cannot capture the complex relationship between inflammatory status and body composition.A recent study published in Biomedical and Environmental Sciences(BES)by Zhang et al.[1],which explores the association of white blood cell(WBC)count,platelet(PLT)count,and platelet-to-white blood cell ratio(PWR)with muscle mass among Chinese communitydwelling older adults,provides critical evidence for rethinking the role of BMI.Additionally,several studies published in BES,spanning from childhood nutrition to adult metabolism,further illuminate the complexity of health assessment[2−5].Building on these findings and integrating evidence from multiple Chinese population studies,this commentary revisits the historical context,utility,inherent limitations,and future directions of this classic indicator.
文摘BACKGROUND The correlation between geriatric nutritional risk index(GNRI)and the prognosis of patients with osteoporosis or osteopenia has not been studied.This study aims to explore the relationship between GNRI and the cardiovascular disease(CVD)and all-cause mortality rates in elderly patients with osteoporosis or osteopenia.METHODS This study included 4756 patients with osteoporosis and osteopenia from five cycles of the National Health and Nutrition Examination Survey(NHANES).We used multivariable Cox regression and subgroup analyses to investigate the correlation between GNRI and mortality rates.The restricted cubic spline analysis was used to assess the dose-response relationship between GNRI and mortality risk.Mediation analysis was conducted to examine the mediating effect of chronic kidney disease on the relationship between nutritional risk and mortality.RESULTS During a median follow-up period of 114 months,a total of 1241 deaths(26.09%)occurred,including 300 deaths due to CVD(6.31%).In the fully adjusted Model 3,compared to the no-risk group,the risk group showed significantly increased all-cause mortality risk(HR=2.05,95%CI:1.74–2.40)and CVD mortality risk(HR=1.88,95%CI:1.30–2.71).The restricted cubic spline analysis indicated a non-linear association between GNRI and all-cause mortality risk as well as CVD mortality risk.The mediation analysis results indicated that chronic kidney disease mediates 16.9%of the effect of nutritional risk on all-cause mortality and 25.3%on CVD mortality risk.CONCLUSIONS GNRI can serve as a predictive factor for all-cause and CVD mortality rates in elderly patients with osteoporosis or osteopenia.
文摘BACKGROUND Gastric cancer,a globally prevalent malignant tumor,continues to exhibit high incidence and mortality rates.Although radical gastrectomy remains the primary treatment for this disease,postoperative complications frequently arise,negatively impacting short-term recovery and significantly reducing patients’quality of life.In this context,accurately predicting the risk of postoperative recurrence and metastasis,coupled with targeted interventions,could substantially improve patient outcomes.The C-reactive protein-triglyceride-glucose index(CTI),a composite biomarker that integrates metabolic disturbances and systemic inflammation,has garnered increasing attention in oncology.The prognostic nutritional index(PNI),a composite measure based on serum albumin and peripheral blood lymphocyte count,is used to evaluate both the nutritional status and systemic immune function of patients.In recent years,both the CTI and PNI have demonstrated significant prognostic value in predicting tumor outcomes,assessing treatment responses,and formulating personalized treatment strategies.AIM To investigate whether the combined inflammation and insulin resistance marker,the CTI,can serve as a prognostic indicator for patients undergoing radical gastrectomy for gastric cancer.Additionally,it seeks to develop a predictive model by incorporating the PNI alongside CTI.METHODS This retrospective study included a total of 300 patients who underwent radical gastrectomy.The patients were classified into high and low CTI groups based on their CTI index.Cox proportional hazards regression analysis was performed to identify independent prognostic factors influencing overall survival(OS)and disease-free survival(DFS),and two nomogram models were developed.RESULTS Of the included patients,131 had a high CTI and 169 had a low CTI.The DFS period of the low CTI group was significantly longer than that of the high CTI group.The number of postoperative adjuvant treatments,T stage,N stage,CTI,and PNI were identified as independent prognostic factors for DFS.The hazard ratio for CTI was 2.07(95%confidence interval:1.36-3.17,P<0.001).In terms of OS,the OS period of the low CTI group was significantly longer than that of the high CTI group.Whether adjuvant treatment was administered,T stage,CTI,and PNI were independent prognostic factors for OS.The hazard ratio for CTI was 2.47(95%confidence interval:1.44-4.23,P=0.001).The nomogram models for OS and DFS further emphasized the importance of CTI as a key predictor of patient prognosis.CONCLUSION CTI is a long-term prognostic indicator for the outcome of radical gastrectomy for gastric cancer.Patients with lower CTI values have a better prognosis.The prediction models constructed by combining CTI with PNI has good predictive ability for DFS and OS after radical gastrectomy.
文摘Background Percutaneous coronary intervention(PCI)is a widely utilized revascularization technique for coronary artery disease(CAD).While clinical and biomarker-based prognostic tools are standard for predicting outcomes,there is growing interest in sarcopenia as a marker of frailty and its potential role in long-term prognosis.The prognostic value of the psoas muscle index(PMI),a sarcopenia metric,remains underexplored in PCI populations regarding long term survival.Methods This single-center retrospective cohort study evaluated 177 patients undergoing PCI from 2015 to 2019.PMI was calculated from computed tomography(CT)imaging at the L3 vertebral level using the formula:(left psoas area+right psoas area)/height2 and expressed in cm^(2)/m^(2).Sarcopenia was defined as the lowest sex-specific PMI quartile.Primary outcomes included 5-year all-cause mortality and 3-point major adverse cardiovascular events(MACE:non-fatal myocardial infarction,ischemic stroke,and cardiac death).Binary linear regression and Cox proportional hazards models were utilized to determine associations between PMI and outcomes Results Sarcopenic patients exhibited significantly higher 5-year all-cause mortality compared to non-sarcopenic counterparts(64.4%vs.35.6%,P<0.001),while no significant difference was observed in 3-point MACE incidence(55.6%vs.51.4%,P=0.520).Sarcopenia was independently associated with all-cause mortality on binary logistic regression(OR=3.49;95%CI:1.69–7.19;P=0.0007),but not MACE(OR=1.00;95%CI:0.50–1.98;P=0.99).In a multivariable Cox regression model,sarcopenia was associated with increased hazard of mortality(HR=1.60;95%CI:0.96–2.66;P=0.071),though this did not reach statistical significance.Kaplan-Meier analysis demonstrated significantly reduced survival among sarcopenic patients(χ^(2)=6.13,P=0.0133).Conclusions PMI is a significant independent predictor of 5-year all-cause mortality in PCI patients,underscoring the prognostic importance of assessing skeletal muscle mass in this population.
基金supported by the Natural Science Foundation of Tianjin City (No.19JCYBJC17000)the National Natural Science Foundation of China (No.11905159)。
文摘A D-type photonic crystal fiber(PCF) sensor based on surface plasmon resonance(SPR) principle is designed.In order to excite the SPR effect,a gold film is plated on the open-loop channel of the sensor,the free electrons in a metal are resonated with photons.The structural parameters are fine-tuned and the sensing performance of the sensor is studied.The results show that the maximum spectral sensitivity reaches 18 000 nm/RIU in the refractive index range of 1.24—1.32,and the maximum resolution is 5.56×10^(-6) RIU.The novel structure with high sensitivity and low refractive index provides a new perspective for fluid density detection.
基金Supported by Health Research Program of Anhui,No.AHWJ2023BAc10010Clinical and Translational Research Project of Anhui Province,No.202427b10020078。
文摘BACKGROUND The Zhejiang University(ZJU)index has been demonstrated to have notable value in predicting metabolic dysfunction-associated steatotic liver disease(MASLD)within Chinese populations.However,the correlation between the ZJU index and MASLD in type 2 diabetes mellitus(T2DM)patients remains to be elucidated.AIM To investigate the association between the ZJU index and MASLD among patients with T2DM.METHODS This cross-sectional study was conducted on hospitalised patients diagnosed with T2DM.Anthropometric measurements,laboratory data,and ultrasound results were initially collected from all patients.The ZJU index was subsequently calculated.Regression analysis was then used to explore risk factors affecting MASLD,and the optimal ZJU index cut-off value for diagnosing MASLD was determined using restricted cubic spline analysis.Finally,a new model for predicting MASLD in T2DM patients based on the ZJU index was constructed.This model was based on the risk factors identified by regression analysis,and the area under curve values were calculated.The validity and reliability of the models were then compared with each other.RESULTS A total of 688 patients with T2DM were included in this study.A significant positive correlation was identified between the ZJU index and the development of MASLD.Furthermore,the results of the restricted cubic spline analysis showed a non-linear association between ZJU index and MASLD.The ZJU value of 38.87 was identified as the key threshold for diagnosing MASLD.The new predictive model,which was developed by regression analysis,demonstrated a higher diagnostic value for MASLD and exhibited good accuracy in comparison with metabolic indices alone(area under curve=0.76,95%confidence interval:0.72-0.80).CONCLUSION The ZJU index has been shown to be linked to the risk of developing MASLD,and the new model constructed has been shown to possess good predictive value.
基金supported by the National Key Research and Development Program of China(2017YFC1307705).
文摘BACKGROUND The atherogenic index of plasma(AIP)has been shown to be positively correlated with cardiovascular disease in previous studies.However,it is unclear whether elderly people with long-term high AIP levels are more likely to develop coronary heart disease(CHD).Therefore,the aim of this study was to investigate the relationship between AIP trajectory and CHD incidence in elderly people.METHODS 19,194 participants aged≥60 years who had three AIP measurements between 2018 and 2020 were included in this study.AIP was defined as log10(triglyceride/high-density lipoprotein cholesterol).The group-based trajectory model was used to identify different trajectory patterns of AIP from 2018 to 2020.Cox proportional hazards models were used to estimate the hazard ratio(HR)with 95%CI of CHD events between different trajectory groups from 2020 to 2023.RESULTS Three different trajectory patterns were identified through group-based trajectory model:the low-level group(n=7410,mean AIP:-0.25 to-0.17),the medium-level group(n=9981,mean AIP:0.02-0.08),and the high-level group(n=1803,mean AIP:0.38-0.42).During a mean follow-up of 2.65 years,a total of 1391 participants developed CHD.After adjusting for potential confounders,compared with the participants in the low-level group,the HR with 95%CI of the medium-level group and the high-level group were estimated to be 1.24(1.10-1.40)and 1.43(1.19-1.73),respectively.These findings remained consistent in subgroup analyses and sensitivity analyses.CONCLUSIONS There was a significant correlation between persistent high AIP level and increased CHD risk in the elderly.This suggests that monitoring the long-term changes in AIP is helpful to identify individuals at high CHD risk in elderly people.
文摘In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.
文摘BACKGROUND The diagnosis of gastric carcinoma(GC)is essential for improving clinical outcomes.However,the biomarkers currently used for GC screening are not ideal.AIM To explore the diagnostic implications of the neutrophil-to-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune-inflammatory index(SII)for GC.METHODS The baseline data of 133 patients with GC and 134 patients with precancerous gastric conditions admitted between January 2022 and December 2023 were retrospectively analyzed.The information on peripheral blood platelet,neutrophil,and lymphocyte counts in each patient was collected,and the NLR,PLR,and SII levels of both groups were calculated.Additionally,multivariate logistic regression analysis was conducted,and the diagnostic implications of NLR,PLR,and SII in differentiating patients with precancerous gastric conditions,compared with those with GC,were analyzed through receiver operating characteristic(ROC)curves.RESULTS The data indicated that NLR,PLR,and SII had abnormally increased levels in the patients with GC.Gender and body mass index were risk factors for the occurrence of GC.ROC data revealed that the areas under the curve of three patients with precancerous gastric conditions,who were differentiated from those with GC,were 0.824,0.787,and 0.842,respectively.CONCLUSION NLR,PLR,and SII are all abnormally expressed in GC and have diagnostic implications,especially when used as joint indicators,in distinguishing patients with precancerous gastric conditions from those with GC.
文摘BACKGROUND Acute liver failure(ALF)is a life-threatening multisystemic condition with high short-term mortality.With the growing prevalence of obesity and metabolic syndrome,it is important to investigate the clinical implications of high body mass index(BMI)on survival outcomes in ALF.AIM To explore the impact of overweight and obesity on the clinical outcomes of patients with ALF.METHODS A retrospective observational cohort study was conducted involving patients with ALF admitted to the Johns Hopkins Health System between January 1,2000 and May 1,2020.We performed Cox proportional hazards regression to identify outcomes,including the need for liver transplantation(LT)or all-cause mortality.RESULTS A total of 196 patients were included,the median age was 43.5 years,63.3%were female,and 59.7%were of Caucasian ethnicity.Acetaminophen-induced ALF was the most common etiology(45%).The mean BMI was significantly greater among patients who underwent LT or died(29.64 kg/m^(2)vs 26.59 kg/m^(2),P=0.008)than among survivors.Patients with overweight and obesity had a higher risk of all-cause mortality or need for LT by 2.22-fold(95%CI:1.30-3.78)and 2.04-fold(95%CI:1.29-3.39),respectively.Elevated BMI was associated with renal failure and higher grades of hepatic encephalopathy.Derangements in serologic markers,including alanine transaminase,lactate,and ammonia,were associated with a mortality risk or need for LT.CONCLUSION In this large,retrospective study,with a diverse cohort of United States patients,Overweight and obese were independently associated with an increased risk of all-cause mortality or need for LT.This work highlights the importance of closely monitoring ALF patients who are overweight or obese for adverse complications and measures to improve outcomes in this vulnerable patient population.
