AIM:To investigate the underlying causes of surgical failure and reoperation management in patients with rhegmatogenous retinal detachment(RRD)who underwent scleral buckle surgery at our institution.METHODS:This was a...AIM:To investigate the underlying causes of surgical failure and reoperation management in patients with rhegmatogenous retinal detachment(RRD)who underwent scleral buckle surgery at our institution.METHODS:This was a single-center,retrospective,descriptive study.The clinical data of 368 patients(387 eyes)with RRD who underwent scleral buckling(SB)surgery between August 2013 and July 2023 at our institution were collected.The aim was to analyze the causes of recurrence and the rationale for selecting reoperation methods.RESULTS:Totally 368 patients(387 eyes)were included in the analysis,comprising 222 males and 146 females.The average age was 30.26±14.18 years,and the mean follow-up duration was(48.33±20.39)mo.The success rate of SB surgery was 90.2%.Recurrent retinal detachment occurred in 38 eyes.Based on surgical records,the causes of SB failure were analyzed.The recurrence causes included abnormal compression ridge position(position,height,or width)in 14 eyes(36.8%,14/38),hole omission in 11 eyes(29.0%,11/38),proliferative vitreoretinopathy(PVR)in 10 eyes(26.3%,10/38),and new holes in 3 eyes(7.9%,3/38).Among these,8 eyes(21.1%,8/38)underwent repeat SB surgery,while the remaining 30 eyes(78.9%,30/38)underwent pars plana vitrectomy(PPV).Regarding tamponade agents,silicone oil was used in 11 eyes(36.7%,11/30),C_(3)F_(8) gas in 12 eyes(40.0%,12/30),and sterile air in 7 eyes(23.3%,7/30).CONCLUSION:SB surgery demonstrates a high success rate in the treatment of RRD.However,abnormal compression ridge position,missed holes during surgery,and PVR are the primary causes of SB failure.After addressing the reasons for failure,re-SB surgery or PPV can be effective alternatives.展开更多
Objective:To identify the root causes of typical adverse drug events through the lens of patient experiences proposing novel strategies to mitigate preventable harm.Methods:A qualitative case study leveraging in-depth...Objective:To identify the root causes of typical adverse drug events through the lens of patient experiences proposing novel strategies to mitigate preventable harm.Methods:A qualitative case study leveraging in-depth interviews with patients and families,anchored by Interactive Patient Par ticipation Theory,to analyze 4 high-severity adverse drug events(ADE)cases.Cases were purposively sampled from 8 communities in China's National Adverse Event Monitor Center(2018-2023).Semi-structured interviews explored patient perspectives,with data analyzed via thematic coding and triangulation against clinical records.Results:Five interconnected themes emerged:(1)erosion of trust,(2)communication breakdowns,(3)information asymmetry,(4)environmental inadequacies,and(5)technological alienation.Notably,75% of participants had≤high school education,and 50% used≥7 medications daily,compounding ADE risks.Conclusions:We considered elements mentioned by theory,exploring trust,communication,information,and suppor t as the root causes.In addition,we added“adaptability to new technology”as an impor tant and necessary component.It is impor tant and necessary to analyze typical adverse drug events from the perspectives of patients.展开更多
OBJECTIVE To investigate possible associations between physical function assessment scales,such as Short Physical Performance Battery(SPPB)and Berg Balance Scale(BBS),with all-cause mortality in acute decompensated he...OBJECTIVE To investigate possible associations between physical function assessment scales,such as Short Physical Performance Battery(SPPB)and Berg Balance Scale(BBS),with all-cause mortality in acute decompensated heart failure(ADHF)patients.METHODS A total of 108 ADHF patients were analyzed from October 2020 to October 2022,and followed up to May 2023.The association between baseline clinical characteristics and all-cause mortality was analyzed by univariate Cox regression analysis,while for SPPB and BBS,univariate Cox regression analysis was followed by receiver operating characteristic curves,in which the area under the curve represented their predictive accuracy for all-cause mortality.Incremental predictive values for both physical function assessments were measured by calculating net reclassification index and integrated discrimination improvement scores.Optimal cutoff value for BBS was then identified using restricted cubic spline plots,and survival differences below and above that cut-off were compared using Kaplan-Meier survival curves and the log-rank test.The clinical utility of BBS was measured using decision curve analysis.RESULTS For baseline characteristics,age,female,blood urea nitrogen,as well as statins,angiotensin-converting enzyme inhibitors,angiotensin II receptor blockers,or angiotensin receptor-neprilysin inhibitors,were predictive for all-cause mortality for ADHF patients.With respect to SPPB and BBS,higher scores were associated with lower all-cause mortality rates for both assessments;similar area under the curves were measured for both(0.774 for SPPB and 0.776 for BBS).Furthermore,BBS≤36.5 was associated with significantly higher mortality,which was still applicable even adjusting for confounding factors;BBS was also found to have great clinical utility under decision curve analysis.CONCLUSIONS BBS or SPPB could be used as tools to assess physical function in ageing ADHF patients,as well as prognosticate on all-cause mortality.Moreover,prioritizing the improvement of balance capabilities of ADHF patients in cardiac rehabilitation regimens could aid in lowering mortality risk.展开更多
Background: Maternal mortality remains a major public health problem worldwide. Objectives: Our study aims to present the results of an analysis of reviews of maternal deaths at HGOPY. Methodology: This was a descript...Background: Maternal mortality remains a major public health problem worldwide. Objectives: Our study aims to present the results of an analysis of reviews of maternal deaths at HGOPY. Methodology: This was a descriptive cross-sectional study with retrospective data collection from archived records and reviewed maternal death reports. Our study lasted 8 months, from October 1, 2023 to May 31, 2024. The study covered maternal death files at the HGOPY over an 8-year period, from 1st of January 2016 to the 31st of December 2023. Data were processed and analyzed using Statitical Paquage for Social Science (SPSS) version 26.0. Results: We counted a total of 160 maternal deaths, of which 97 had been reviewed. We excluded 61 deceased women reviewed and retained 33. We recorded a cumulative total of 160 maternal deaths and 19,651 live births. The peak in the proportion of maternal deaths at the Yaoundé Gynaeco-Obstetric and Paediatric Hospital was in 2021, with a proportion of 0.013. No maternal deaths had been reviewed between 2016 to 2017. Most deaths (64%) occurred between 37 and 40 weeks. The majority (30.5%) were aged between 30 and 35. The data show that 80.6% of maternal deaths were due to direct obstetric causes, while 19.4% were due to indirect causes. Most deaths (69.4%) were preventable. Only 8.3% were not preventable. Conclusion: Concerted efforts must be made to adapt maternal death prevention and management strategies to local contexts in order to significantly reduce these alarming figures.展开更多
With the rapid development of web technology,Social Networks(SNs)have become one of the most popular platforms for users to exchange views and to express their emotions.More and more people are used to commenting on a...With the rapid development of web technology,Social Networks(SNs)have become one of the most popular platforms for users to exchange views and to express their emotions.More and more people are used to commenting on a certain hot spot in SNs,resulting in a large amount of texts containing emotions.Textual Emotion Cause Extraction(TECE)aims to automatically extract causes for a certain emotion in texts,which is an important research issue in natural language processing.It is different from the previous tasks of emotion recognition and emotion classification.In addition,it is not limited to the shallow-level emotion classification of text,but to trace the emotion source.In this paper,we provide a survey for TECE.First,we introduce the development process and classification of TECE.Then,we discuss the existing methods and key factors for TECE.Finally,we enumerate the challenges and developing trend for TECE.展开更多
Background Physical frailty and depression may share common pathophysiological pathways associated with dementia and thus interact with each other.However,previous studies have primarily focused on the individual impa...Background Physical frailty and depression may share common pathophysiological pathways associated with dementia and thus interact with each other.However,previous studies have primarily focused on the individual impact of these factors on dementia.Aims To examine the joint effect and interaction of physical frailty and depression on the risk of all-cause dementia.Methods We conducted prospective analyses among participants aged≥60 years from three cohorts:the UK Biobank(UKB),the English Longitudinal Study of Ageing(ELSA)and the Health and Retirement Study(HRS).Physical frailty was assessed using modified versions of the Fried frailty phenotype.Depression was evaluated through mental health questionnaires or combined with hospital admission records.The primary outcome was incident all-cause dementia,identified via active follow-up and passive surveillance.Cox proportional hazards models were used to estimate the hazard ratios(HRs)and 95%confidence intervals(CIs).Results A total of 220947 participants(mean age:64.5 years;53.3%female)were included.Over 2832696 person-years of follow-up,9088 participants(7605 in UKB,1207 in HRS and 276 in ELSA)developed incident all-cause dementia.Compared with robust individuals,frail participants faced a 155%increased risk of dementia(pooled HR:2.55,95%CI 2.36 to 2.76;I2=72.3%).Depression conferred a 1.59-fold excess risk for dementia(pooled HR:1.59,95%CI 1.50 to 1.69;I2=56.8%).Adding physical frailty and depression to a traditional dementia risk model significantly improved prediction accuracy(all p-Δarea under the curve<0.05).Jointly,participants with both physical frailty and depression exhibited the highest dementia risk(pooled HR:3.23,95%CI 2.86 to 3.65;I2=41.6%)compared with those without physical frailty and depression.Moreover,a significant additive interaction between physical frailty and depression was observed(pooled relative excess risk due to interaction:0.38,95%CI 0.13 to 0.63),with 17.1%(95%CI 6.0%to 28.3%)of dementia risk attributed to their interactive effects.Conclusions Individuals with both physical frailty and depression had the highest risk of dementia.More importantly,these two factors interact in an additive manner,further amplifying dementia risk.展开更多
Accurate fault root cause diagnosis is essential for ensuring stable industrial production. Traditional methods, which typically rely on the entire time series and overlook critical local features, can lead to biased ...Accurate fault root cause diagnosis is essential for ensuring stable industrial production. Traditional methods, which typically rely on the entire time series and overlook critical local features, can lead to biased inferences about causal relationships, thus hindering the accurate identification of root cause variables. This study proposed a shapelet-based state evolution graph for fault root cause diagnosis (SEG-RCD), which enables causal inference through the analysis of the important local features. First, the regularized autoencoder and fault contribution plot are used to identify the fault onset time and candidate root cause variables, respectively. Then, the most representative shapelets were extracted to construct a state evolution graph. Finally, the propagation path was extracted based on fault unit shapelets to pinpoint the fault root cause variable. The SEG-RCD can reduce the interference of noncausal information, enhancing the accuracy and interpretability of fault root cause diagnosis. The superiority of the proposed SEG-RCD was verified through experiments on a simulated penicillin fermentation process and an actual one.展开更多
Fiber-to-the-Room(FTTR)has emerged as the core architecture for next-generation home and enterprise networks,offering gigabitlevel bandwidth and seamless wireless coverage.However,the complex multi-device topology of ...Fiber-to-the-Room(FTTR)has emerged as the core architecture for next-generation home and enterprise networks,offering gigabitlevel bandwidth and seamless wireless coverage.However,the complex multi-device topology of FTTR networks presents significant chal⁃lenges in identifying sources of network performance degradation and conducting accurate root cause analysis.Conventional approaches often fail to deliver efficient and precise operational improvements.To address this issue,this paper proposes a Transformer-based multi-task learn⁃ing model designed for automated root cause analysis in FTTR environments.The model integrates multidimensional time-series data col⁃lected from access points(APs),enabling the simultaneous detection of APs experiencing performance degradation and the classification of underlying root causes,such as weak signal coverage,network congestion,and signal interference.To facilitate model training and evaluation,a multi-label dataset is generated using a discrete-event simulation platform implemented in MATLAB.Experimental results demonstrate that the proposed Transformer-based multi-task learning model achieves a root cause classification accuracy of 96.75%,significantly outperform⁃ing baseline models including Long Short-Term Memory(LSTM),Gated Recurrent Unit(GRU),Random Forest,and eXtreme Gradient Boost⁃ing(XGBoost).This approach enables the rapid identification of performance degradation causes in FTTR networks,offering actionable in⁃sights for network optimization,reduced operational costs,and enhanced user experience.展开更多
In recent years,microservice architecture has gained increasing popularity.However,due to the complex and dynamically chang⁃ing nature of microservice systems,failure detection has become more challenging.Traditional ...In recent years,microservice architecture has gained increasing popularity.However,due to the complex and dynamically chang⁃ing nature of microservice systems,failure detection has become more challenging.Traditional root cause analysis methods mostly rely on a single modality of data,which is insufficient to cover all failure information.Existing multimodal methods require collecting high-quality la⁃beled samples and often face challenges in classifying unknown failure categories.To address these challenges,this paper proposes a root cause analysis framework based on a masked graph autoencoder(GAE).The main process involves feature extraction,feature dimensionality reduction based on GAE,and online clustering combined with expert input.The method is experimentally evaluated on two public datasets and compared with two baseline methods,demonstrating significant advantages even with 16%labeled samples.展开更多
A survey conducted on the premature bolting of Huarong large leaf mustard from 2018 to 2024 revealed that Huarong large leaf mustard sown in middle August was associated with a higher propensity for premature bolting....A survey conducted on the premature bolting of Huarong large leaf mustard from 2018 to 2024 revealed that Huarong large leaf mustard sown in middle August was associated with a higher propensity for premature bolting. Furthermore, it was observed that the earlier being sown, the greater the rate of premature bolting when being sown prior to middle August. The rate of premature bolting observed in seedlings sown on August 8 was recorded at 35.6%. It was noted that as the age of the seedlings increased, the rate of premature bolting correspondingly increased. There were notable differences in the tolerance of various cultivars to elevated temperatures and prolonged sunlight exposure. For instance, cultivars such as Zhangjie 1 and Sichuan Shaguodi, which exhibit greater heat resistance, did not demonstrate premature bolting when sown in early August. The prolonged exposure to elevated temperatures, drought conditions, and extended periods of sunlight during the seedling stage of Huarong large leaf mustard, coupled with delayed irrigation and transplantation, contributed to the occurrence of premature bolting. The Huarong large leaf mustard, when been sown from late August to early September and transplanted at the appropriate time, exhibited normal growth and development, with no instances of premature bolting observed. It is advisable to select heat-resistant varieties, such as Zhangjie 1, prior to middle August. Huarong large leaf mustard should be sown in early to middle September. Additionally, it is essential to ensure centralized production and timely release of seeds, prompt transplantation and harvesting, and enhance the management of pests and diseases.展开更多
The accurate prediction and analysis of emergencies in Urban Rail Transit Systems(URTS)are essential for the development of effective early warning and prevention mechanisms.This study presents an integrated perceptio...The accurate prediction and analysis of emergencies in Urban Rail Transit Systems(URTS)are essential for the development of effective early warning and prevention mechanisms.This study presents an integrated perception model designed to predict emergencies and analyze their causes based on historical unstructured emergency data.To address issues related to data structuredness and missing values,we employed label encoding and an Elastic Net Regularization-based Generative Adversarial Interpolation Network(ER-GAIN)for data structuring and imputation.Additionally,to mitigate the impact of imbalanced data on the predictive performance of emergencies,we introduced an Adaptive Boosting Ensemble Model(AdaBoost)to forecast the key features of emergencies,including event types and levels.We also utilized Information Gain(IG)to analyze and rank the causes of various significant emergencies.Experimental results indicate that,compared to baseline data imputation models,ER-GAIN improved the prediction accuracy of key emergency features by 3.67%and 3.78%,respectively.Furthermore,AdaBoost enhanced the accuracy by over 4.34%and 3.25%compared to baseline predictivemodels.Through causation analysis,we identified the critical causes of train operation and fire incidents.The findings of this research will contribute to the establishment of early warning and prevention mechanisms for emergencies in URTS,potentially leading to safer and more reliable URTS operations.展开更多
BACKGROUND Low serum albumin levels are established predictors of adverse outcomes in various cardiovascular conditions.However,the role of serum albumin in mortality among elderly patients with chronic aortic regurgi...BACKGROUND Low serum albumin levels are established predictors of adverse outcomes in various cardiovascular conditions.However,the role of serum albumin in mortality among elderly patients with chronic aortic regurgitation(AR)has not been thoroughly investigated.This study aims to assess the relationship between serum albumin levels and mortality in this specific patient population.METHODS Our analysis included 873 elderly AR patients from the China Valvular Heart Disease study,with baseline serum albumin measured at enrollment.Mortality outcomes were monitored for two years post-enrollment,employing a Cox proportional hazards model with a two-piecewise Cox proportional hazards framework to investigate the nonlinear relationship between serum albumin levels and all-cause mortality.RESULTS During the 2-year follow-up period,we observed 63 all-cause deaths.The association between serum albumin levels and all-cause mortality displayed an approximating L-shaped curve,indicating a mortality threshold at 35 g/L.For serum albumin levels below 35 g/L,each 1 g/L decrease was associated with a 25%higher risk of all-cause mortality(HR=1.25,95%CI:1.07–1.45).In contrast,no significant change in mortality risk was observed when serum albumin levels were greater than or equal to 35 g/L.Moreover,when serum albumin is classified as hypoproteinemia(serum albumin<35 g/L),the higher risks of all-cause death were observed in hypoproteinemic patients(HR=2.93,95%CI:1.50–5.74).More importantly,the association between serum albumin and death was significantly stronger in overweight/obese patients(≥24 kg/m^(2)vs.<24 kg/m^(2),Pinteraction=0.006).CONCLUSIONS In elderly patients with AR,serum albumin levels showed an approximating L-shaped relationship with all-cause death,with thresholds of 35 g/L.Body mass index was significant effect modifiers of the association.These results suggest that serum albumin,as an inexpensive and readily available biochemical marker,may further improve the stratified risk of mortality in older AR patients.展开更多
BACKGROUND Our understanding of the correlation between postdischarge cancer and mortality in patients with coronary artery disease(CAD)remains incomplete.The aim of this study was to investigate the relationships bet...BACKGROUND Our understanding of the correlation between postdischarge cancer and mortality in patients with coronary artery disease(CAD)remains incomplete.The aim of this study was to investigate the relationships between postdischarge cancers and all-cause mortality and cardiovascular mortality in CAD patients.METHODS In this retrospective cohort study,25%of CAD patients without prior cancer history who underwent coronary artery angiography between January 1,2011 and December 31,2015,were randomly enrolled using SPSS 26.0.Patients were monitored for the incidence of postdischarge cancer,which was defined as cancer diagnosed after the index hospitalization,survival status and cause of death.Cox regression analysis was used to explore the association between postdischarge cancer and all-cause mortality and cardiovascular mortality in CAD patients.RESULTS A total of 4085 patients were included in the final analysis.During a median follow-up period of 8 years,174 patients(4.3%)developed postdischarge cancer,and 343 patients(8.4%)died.A total of 173 patients died from cardiovascular diseases.Postdischarge cancer was associated with increased all-cause mortality risk(HR=2.653,95%CI:1.727–4.076,P<0.001)and cardiovascular mortality risk(HR=2.756,95%CI:1.470–5.167,P=0.002).Postdischarge lung cancer(HR=5.497,95%CI:2.922–10.343,P<0.001)and gastrointestinal cancer(HR=1.984,95%CI:1.049–3.750,P=0.035)were associated with all-cause mortality in CAD patients.Postdischarge lung cancer was significantly associated with cardiovascular death in CAD patients(HR=4.979,95%CI:2.114–11.728,P<0.001),and cardiovascular death was not significantly correlated with gastrointestinal cancer or other types of cancer.CONCLUSIONS Postdischarge cancer was associated with all-cause mortality and cardiovascular mortality in CAD patients.Compared with other cancers,postdischarge lung cancer had a more significant effect on all-cause mortality and cardiovascular mortality in CAD patients.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
The implementation of the ecological protection red line serves as a crucial protective barrier for the conservation of wild plants with extremely small populations by delineating specific geographical areas designate...The implementation of the ecological protection red line serves as a crucial protective barrier for the conservation of wild plants with extremely small populations by delineating specific geographical areas designated for their conservation.The implementation of a comprehensive set of conservation measures aimed at establishing a biodiversity conservation network for wild plants with extremely small populations has laid the foundation for the health and stability of ecosystems,as well as the harmonious coexistence of humans and the natural environment.Research on the conservation of wild plants with extremely small populations serves as a critical foundation for informing and enhancing the effective conservation of such populations.This paper provides a systematic examination of the theoretical and practical conservation status of certain wild plants with extremely small populations and discusses the conservation trends of these populations within the framework of ecological protection red line delineation.In the future,strategies for the conservation of wild plants with extremely small populations should be integrated with an analysis of the causes of endangerment.This approach will provide a robust foundation for applied research focused on the conservation of these vulnerable plant populations.展开更多
BACKGROUND Blood glucose and serum albumin have been associated with cardiovascular disease prognosis,but the impact of admission-blood-glucose-to-albumin ratio(AAR)on adverse outcomes in critical ill coronary artery ...BACKGROUND Blood glucose and serum albumin have been associated with cardiovascular disease prognosis,but the impact of admission-blood-glucose-to-albumin ratio(AAR)on adverse outcomes in critical ill coronary artery disease(CAD)patients was not investigated.METHODS Patients diagnosed with CAD were non-consecutively selected from the MIMIC-IV database and categorized into quartiles based on their AAR.The primary outcome was 1-year mortality,and secondary endpoints were in-hospital mortality,acute kidney injury(AKI),and renal replacement therapy(RRT).A restricted cubic splines model and Cox proportional hazard models assessed the association between AAR and adverse outcomes in CAD patients.Kaplan-Meier survival analysis determined differences in endpoints across subgroups.RESULTS A total of 8360 patients were included.There were 726 patients(8.7%)died in the hospital and 1944 patients(23%)died at 1 year.The incidence of AKI and RRT was 63%and 4.3%,respectively.High AAR was markedly associated with in-hospital mortality(HR=1.587,P=0.003),1-year mortality(HR=1.502,P<0.001),AKI incidence(HR=1.579,P<0.001),and RRT(HR=1.640,P<0.016)in CAD patients in the completely adjusted Cox proportional hazard model.Kaplan-Meier survival analysis noted substantial differences in all endpoints based on AAR quartiles.Stratified analysis and interaction test demonstrated stable correlations between AAR and outcomes.CONCLUSIONS The results highlight that AAR may be a potential indicator for assessing in-hospital mortality,1-year mortality,and adverse renal prognosis in critical CAD patients.展开更多
Measuring cardiorespiratory fitness(CRF)is an important predictor of morbidity and mortality in epidemiological studies and clinical settings.1 However,the feasibility of measuring maximal CRF is low due to the time,e...Measuring cardiorespiratory fitness(CRF)is an important predictor of morbidity and mortality in epidemiological studies and clinical settings.1 However,the feasibility of measuring maximal CRF is low due to the time,equipment,and expertise needed to conduct laboratory cardiopulmonary exercise testing(CPET)to determine the maximal rate of oxygen uptake(VO2max)as an objective measure of CRF.Alternatively,indirect estimates of CRF have been applied by measuring maximal duration on treadmill or cycle ergometer tests,2,3 extrapolating maximal CRF from workload or heart rate during submaximal fitness tests,4,5 and using non-exercise algorithms to estimate CRF from an individual’s age,sex,body mass,and physical activity habits.6 It is assumed that objectively measured VO2max is superior to extrapolated and estimated values due to errors associated with the estimated values;7,8 however,until Singh et al.9 newly released article in the Journal of Sport and Health Science,the comparability of these methods in identifying risks for all-cause and cardiovascular disease(CVD)mortality was unknown.展开更多
General Secretary Xi Jinping’s important discourses on the protection of women’s rights and interests represent an organic integration of the Marxist view on women,the revolutionary and governance experience of the ...General Secretary Xi Jinping’s important discourses on the protection of women’s rights and interests represent an organic integration of the Marxist view on women,the revolutionary and governance experience of the Communist Party of China(CPC)in leading efforts to safeguard women’s rights and interests,and the fine traditional Chinese culture.They form a systematic ideological framework and actionable guide characterized by contemporary relevance,originality,and coherence.General Secretary Xi Jinping has elaborated incisively on key dimensions of women’s rights protection,including political participation rights,personal and dignity rights,cultural and education rights,labor and property rights,and marriage and family rights.These expositions have facilitated the systematic incorporation of women’s rights and interests protection into laws and regulations,its elevation to the level of state will,and its internalization as norms of social conduct.Faced with the convergence of both emerging and longstanding challenges in protecting women’s rights and interests,we should,guided by these important expositions,embed women’s rights and interests protection into the thematic priorities of contemporary Chinese women’s movements,align our efforts with the new features and requirements of safeguarding women’s rights and interests in the new era,continuously strengthen Party leadership over such endeavors,and unswervingly follow the path of developing women’s cause with Chinese characteristics.展开更多
用药是一个十分复杂的过程,通常需要经历10多个步骤,即诊断、选药、处方、转抄医嘱、审核处方、调配、核对、发药、保存、计算剂量、稀释配制、按时用药、观察效果、监测体内浓度、监测不良反应、调整用药方案等。每一步都有可能发生差...用药是一个十分复杂的过程,通常需要经历10多个步骤,即诊断、选药、处方、转抄医嘱、审核处方、调配、核对、发药、保存、计算剂量、稀释配制、按时用药、观察效果、监测体内浓度、监测不良反应、调整用药方案等。每一步都有可能发生差错。给药错误指的是病人实际接受的药物与医嘱之间存在差异。我们采用根本原因分析法（root cause analysis,RCA）对1例门诊病人化疗给药错误作回顾性分析,展开更多
文摘AIM:To investigate the underlying causes of surgical failure and reoperation management in patients with rhegmatogenous retinal detachment(RRD)who underwent scleral buckle surgery at our institution.METHODS:This was a single-center,retrospective,descriptive study.The clinical data of 368 patients(387 eyes)with RRD who underwent scleral buckling(SB)surgery between August 2013 and July 2023 at our institution were collected.The aim was to analyze the causes of recurrence and the rationale for selecting reoperation methods.RESULTS:Totally 368 patients(387 eyes)were included in the analysis,comprising 222 males and 146 females.The average age was 30.26±14.18 years,and the mean follow-up duration was(48.33±20.39)mo.The success rate of SB surgery was 90.2%.Recurrent retinal detachment occurred in 38 eyes.Based on surgical records,the causes of SB failure were analyzed.The recurrence causes included abnormal compression ridge position(position,height,or width)in 14 eyes(36.8%,14/38),hole omission in 11 eyes(29.0%,11/38),proliferative vitreoretinopathy(PVR)in 10 eyes(26.3%,10/38),and new holes in 3 eyes(7.9%,3/38).Among these,8 eyes(21.1%,8/38)underwent repeat SB surgery,while the remaining 30 eyes(78.9%,30/38)underwent pars plana vitrectomy(PPV).Regarding tamponade agents,silicone oil was used in 11 eyes(36.7%,11/30),C_(3)F_(8) gas in 12 eyes(40.0%,12/30),and sterile air in 7 eyes(23.3%,7/30).CONCLUSION:SB surgery demonstrates a high success rate in the treatment of RRD.However,abnormal compression ridge position,missed holes during surgery,and PVR are the primary causes of SB failure.After addressing the reasons for failure,re-SB surgery or PPV can be effective alternatives.
基金supported by the Science and Technology Fund Project of Guizhou Health Commission(gzwkj2025-163)。
文摘Objective:To identify the root causes of typical adverse drug events through the lens of patient experiences proposing novel strategies to mitigate preventable harm.Methods:A qualitative case study leveraging in-depth interviews with patients and families,anchored by Interactive Patient Par ticipation Theory,to analyze 4 high-severity adverse drug events(ADE)cases.Cases were purposively sampled from 8 communities in China's National Adverse Event Monitor Center(2018-2023).Semi-structured interviews explored patient perspectives,with data analyzed via thematic coding and triangulation against clinical records.Results:Five interconnected themes emerged:(1)erosion of trust,(2)communication breakdowns,(3)information asymmetry,(4)environmental inadequacies,and(5)technological alienation.Notably,75% of participants had≤high school education,and 50% used≥7 medications daily,compounding ADE risks.Conclusions:We considered elements mentioned by theory,exploring trust,communication,information,and suppor t as the root causes.In addition,we added“adaptability to new technology”as an impor tant and necessary component.It is impor tant and necessary to analyze typical adverse drug events from the perspectives of patients.
基金supported by the Key Research and Development Special Project of the Autonomous Region(No.2022B03023-3)the Key Supported Discipline of Health System in Shanghai(No.2023ZDFC0302)。
文摘OBJECTIVE To investigate possible associations between physical function assessment scales,such as Short Physical Performance Battery(SPPB)and Berg Balance Scale(BBS),with all-cause mortality in acute decompensated heart failure(ADHF)patients.METHODS A total of 108 ADHF patients were analyzed from October 2020 to October 2022,and followed up to May 2023.The association between baseline clinical characteristics and all-cause mortality was analyzed by univariate Cox regression analysis,while for SPPB and BBS,univariate Cox regression analysis was followed by receiver operating characteristic curves,in which the area under the curve represented their predictive accuracy for all-cause mortality.Incremental predictive values for both physical function assessments were measured by calculating net reclassification index and integrated discrimination improvement scores.Optimal cutoff value for BBS was then identified using restricted cubic spline plots,and survival differences below and above that cut-off were compared using Kaplan-Meier survival curves and the log-rank test.The clinical utility of BBS was measured using decision curve analysis.RESULTS For baseline characteristics,age,female,blood urea nitrogen,as well as statins,angiotensin-converting enzyme inhibitors,angiotensin II receptor blockers,or angiotensin receptor-neprilysin inhibitors,were predictive for all-cause mortality for ADHF patients.With respect to SPPB and BBS,higher scores were associated with lower all-cause mortality rates for both assessments;similar area under the curves were measured for both(0.774 for SPPB and 0.776 for BBS).Furthermore,BBS≤36.5 was associated with significantly higher mortality,which was still applicable even adjusting for confounding factors;BBS was also found to have great clinical utility under decision curve analysis.CONCLUSIONS BBS or SPPB could be used as tools to assess physical function in ageing ADHF patients,as well as prognosticate on all-cause mortality.Moreover,prioritizing the improvement of balance capabilities of ADHF patients in cardiac rehabilitation regimens could aid in lowering mortality risk.
文摘Background: Maternal mortality remains a major public health problem worldwide. Objectives: Our study aims to present the results of an analysis of reviews of maternal deaths at HGOPY. Methodology: This was a descriptive cross-sectional study with retrospective data collection from archived records and reviewed maternal death reports. Our study lasted 8 months, from October 1, 2023 to May 31, 2024. The study covered maternal death files at the HGOPY over an 8-year period, from 1st of January 2016 to the 31st of December 2023. Data were processed and analyzed using Statitical Paquage for Social Science (SPSS) version 26.0. Results: We counted a total of 160 maternal deaths, of which 97 had been reviewed. We excluded 61 deceased women reviewed and retained 33. We recorded a cumulative total of 160 maternal deaths and 19,651 live births. The peak in the proportion of maternal deaths at the Yaoundé Gynaeco-Obstetric and Paediatric Hospital was in 2021, with a proportion of 0.013. No maternal deaths had been reviewed between 2016 to 2017. Most deaths (64%) occurred between 37 and 40 weeks. The majority (30.5%) were aged between 30 and 35. The data show that 80.6% of maternal deaths were due to direct obstetric causes, while 19.4% were due to indirect causes. Most deaths (69.4%) were preventable. Only 8.3% were not preventable. Conclusion: Concerted efforts must be made to adapt maternal death prevention and management strategies to local contexts in order to significantly reduce these alarming figures.
基金partially supported by the National Natural Science Foundation of China under Grant No.62372121the Ministry of education of Humanities and Social Science project under Grant No.20YJAZH118+1 种基金the National Key Research and Development Program of China under Grant No.2020YFB1005804the MOE Project at Center for Linguistics and Applied Linguistics,Guangdong University of Foreign Studies。
文摘With the rapid development of web technology,Social Networks(SNs)have become one of the most popular platforms for users to exchange views and to express their emotions.More and more people are used to commenting on a certain hot spot in SNs,resulting in a large amount of texts containing emotions.Textual Emotion Cause Extraction(TECE)aims to automatically extract causes for a certain emotion in texts,which is an important research issue in natural language processing.It is different from the previous tasks of emotion recognition and emotion classification.In addition,it is not limited to the shallow-level emotion classification of text,but to trace the emotion source.In this paper,we provide a survey for TECE.First,we introduce the development process and classification of TECE.Then,we discuss the existing methods and key factors for TECE.Finally,we enumerate the challenges and developing trend for TECE.
基金supported by the National Key Research and Development Program of China(2017YFC0907004 to YZ)。
文摘Background Physical frailty and depression may share common pathophysiological pathways associated with dementia and thus interact with each other.However,previous studies have primarily focused on the individual impact of these factors on dementia.Aims To examine the joint effect and interaction of physical frailty and depression on the risk of all-cause dementia.Methods We conducted prospective analyses among participants aged≥60 years from three cohorts:the UK Biobank(UKB),the English Longitudinal Study of Ageing(ELSA)and the Health and Retirement Study(HRS).Physical frailty was assessed using modified versions of the Fried frailty phenotype.Depression was evaluated through mental health questionnaires or combined with hospital admission records.The primary outcome was incident all-cause dementia,identified via active follow-up and passive surveillance.Cox proportional hazards models were used to estimate the hazard ratios(HRs)and 95%confidence intervals(CIs).Results A total of 220947 participants(mean age:64.5 years;53.3%female)were included.Over 2832696 person-years of follow-up,9088 participants(7605 in UKB,1207 in HRS and 276 in ELSA)developed incident all-cause dementia.Compared with robust individuals,frail participants faced a 155%increased risk of dementia(pooled HR:2.55,95%CI 2.36 to 2.76;I2=72.3%).Depression conferred a 1.59-fold excess risk for dementia(pooled HR:1.59,95%CI 1.50 to 1.69;I2=56.8%).Adding physical frailty and depression to a traditional dementia risk model significantly improved prediction accuracy(all p-Δarea under the curve<0.05).Jointly,participants with both physical frailty and depression exhibited the highest dementia risk(pooled HR:3.23,95%CI 2.86 to 3.65;I2=41.6%)compared with those without physical frailty and depression.Moreover,a significant additive interaction between physical frailty and depression was observed(pooled relative excess risk due to interaction:0.38,95%CI 0.13 to 0.63),with 17.1%(95%CI 6.0%to 28.3%)of dementia risk attributed to their interactive effects.Conclusions Individuals with both physical frailty and depression had the highest risk of dementia.More importantly,these two factors interact in an additive manner,further amplifying dementia risk.
基金support from the following foundations:the National Natural Science Foundation of China(62322309,62433004)Shanghai Science and Technology Innovation Action Plan(23S41900500)Shanghai Pilot Program for Basic Research(22TQ1400100-16).
文摘Accurate fault root cause diagnosis is essential for ensuring stable industrial production. Traditional methods, which typically rely on the entire time series and overlook critical local features, can lead to biased inferences about causal relationships, thus hindering the accurate identification of root cause variables. This study proposed a shapelet-based state evolution graph for fault root cause diagnosis (SEG-RCD), which enables causal inference through the analysis of the important local features. First, the regularized autoencoder and fault contribution plot are used to identify the fault onset time and candidate root cause variables, respectively. Then, the most representative shapelets were extracted to construct a state evolution graph. Finally, the propagation path was extracted based on fault unit shapelets to pinpoint the fault root cause variable. The SEG-RCD can reduce the interference of noncausal information, enhancing the accuracy and interpretability of fault root cause diagnosis. The superiority of the proposed SEG-RCD was verified through experiments on a simulated penicillin fermentation process and an actual one.
基金supported in part by the National Key R&D Program of China under Grant No.2024YFE0200504NSFC key international joint project under Grant No.62120106007Interdisciplinary Research Program of HUST under Grant No.2024JCYJ022.
文摘Fiber-to-the-Room(FTTR)has emerged as the core architecture for next-generation home and enterprise networks,offering gigabitlevel bandwidth and seamless wireless coverage.However,the complex multi-device topology of FTTR networks presents significant chal⁃lenges in identifying sources of network performance degradation and conducting accurate root cause analysis.Conventional approaches often fail to deliver efficient and precise operational improvements.To address this issue,this paper proposes a Transformer-based multi-task learn⁃ing model designed for automated root cause analysis in FTTR environments.The model integrates multidimensional time-series data col⁃lected from access points(APs),enabling the simultaneous detection of APs experiencing performance degradation and the classification of underlying root causes,such as weak signal coverage,network congestion,and signal interference.To facilitate model training and evaluation,a multi-label dataset is generated using a discrete-event simulation platform implemented in MATLAB.Experimental results demonstrate that the proposed Transformer-based multi-task learning model achieves a root cause classification accuracy of 96.75%,significantly outperform⁃ing baseline models including Long Short-Term Memory(LSTM),Gated Recurrent Unit(GRU),Random Forest,and eXtreme Gradient Boost⁃ing(XGBoost).This approach enables the rapid identification of performance degradation causes in FTTR networks,offering actionable in⁃sights for network optimization,reduced operational costs,and enhanced user experience.
基金supported by ZTE Industry-University-Institute Coopera⁃tion Funds under Grant No.HC-CN-20221123003.
文摘In recent years,microservice architecture has gained increasing popularity.However,due to the complex and dynamically chang⁃ing nature of microservice systems,failure detection has become more challenging.Traditional root cause analysis methods mostly rely on a single modality of data,which is insufficient to cover all failure information.Existing multimodal methods require collecting high-quality la⁃beled samples and often face challenges in classifying unknown failure categories.To address these challenges,this paper proposes a root cause analysis framework based on a masked graph autoencoder(GAE).The main process involves feature extraction,feature dimensionality reduction based on GAE,and online clustering combined with expert input.The method is experimentally evaluated on two public datasets and compared with two baseline methods,demonstrating significant advantages even with 16%labeled samples.
基金Supported by Key R&D Projects of Hunan Provincial Department of Science and Technology"Study on Key Modern Processing Techniques and Product Development of Huarong Mustard"(2023NK2039).
文摘A survey conducted on the premature bolting of Huarong large leaf mustard from 2018 to 2024 revealed that Huarong large leaf mustard sown in middle August was associated with a higher propensity for premature bolting. Furthermore, it was observed that the earlier being sown, the greater the rate of premature bolting when being sown prior to middle August. The rate of premature bolting observed in seedlings sown on August 8 was recorded at 35.6%. It was noted that as the age of the seedlings increased, the rate of premature bolting correspondingly increased. There were notable differences in the tolerance of various cultivars to elevated temperatures and prolonged sunlight exposure. For instance, cultivars such as Zhangjie 1 and Sichuan Shaguodi, which exhibit greater heat resistance, did not demonstrate premature bolting when sown in early August. The prolonged exposure to elevated temperatures, drought conditions, and extended periods of sunlight during the seedling stage of Huarong large leaf mustard, coupled with delayed irrigation and transplantation, contributed to the occurrence of premature bolting. The Huarong large leaf mustard, when been sown from late August to early September and transplanted at the appropriate time, exhibited normal growth and development, with no instances of premature bolting observed. It is advisable to select heat-resistant varieties, such as Zhangjie 1, prior to middle August. Huarong large leaf mustard should be sown in early to middle September. Additionally, it is essential to ensure centralized production and timely release of seeds, prompt transplantation and harvesting, and enhance the management of pests and diseases.
基金supported by the Fundamental Research Funds for the Central Universities(grant number 2024YJS096)National Natural Science Foundation of China(grant numbers 62433005,62272036,62173167).
文摘The accurate prediction and analysis of emergencies in Urban Rail Transit Systems(URTS)are essential for the development of effective early warning and prevention mechanisms.This study presents an integrated perception model designed to predict emergencies and analyze their causes based on historical unstructured emergency data.To address issues related to data structuredness and missing values,we employed label encoding and an Elastic Net Regularization-based Generative Adversarial Interpolation Network(ER-GAIN)for data structuring and imputation.Additionally,to mitigate the impact of imbalanced data on the predictive performance of emergencies,we introduced an Adaptive Boosting Ensemble Model(AdaBoost)to forecast the key features of emergencies,including event types and levels.We also utilized Information Gain(IG)to analyze and rank the causes of various significant emergencies.Experimental results indicate that,compared to baseline data imputation models,ER-GAIN improved the prediction accuracy of key emergency features by 3.67%and 3.78%,respectively.Furthermore,AdaBoost enhanced the accuracy by over 4.34%and 3.25%compared to baseline predictivemodels.Through causation analysis,we identified the critical causes of train operation and fire incidents.The findings of this research will contribute to the establishment of early warning and prevention mechanisms for emergencies in URTS,potentially leading to safer and more reliable URTS operations.
基金supported by the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences(2017-12M-3-002)the Central High Level Hospital Clinical Research Operating Expenses,China(Zero Balance 2022-GSP-GG-15)the Natural Science Foundation Project of the Inner Mongolia Autonomous Region of China(2022LHQN08003).
文摘BACKGROUND Low serum albumin levels are established predictors of adverse outcomes in various cardiovascular conditions.However,the role of serum albumin in mortality among elderly patients with chronic aortic regurgitation(AR)has not been thoroughly investigated.This study aims to assess the relationship between serum albumin levels and mortality in this specific patient population.METHODS Our analysis included 873 elderly AR patients from the China Valvular Heart Disease study,with baseline serum albumin measured at enrollment.Mortality outcomes were monitored for two years post-enrollment,employing a Cox proportional hazards model with a two-piecewise Cox proportional hazards framework to investigate the nonlinear relationship between serum albumin levels and all-cause mortality.RESULTS During the 2-year follow-up period,we observed 63 all-cause deaths.The association between serum albumin levels and all-cause mortality displayed an approximating L-shaped curve,indicating a mortality threshold at 35 g/L.For serum albumin levels below 35 g/L,each 1 g/L decrease was associated with a 25%higher risk of all-cause mortality(HR=1.25,95%CI:1.07–1.45).In contrast,no significant change in mortality risk was observed when serum albumin levels were greater than or equal to 35 g/L.Moreover,when serum albumin is classified as hypoproteinemia(serum albumin<35 g/L),the higher risks of all-cause death were observed in hypoproteinemic patients(HR=2.93,95%CI:1.50–5.74).More importantly,the association between serum albumin and death was significantly stronger in overweight/obese patients(≥24 kg/m^(2)vs.<24 kg/m^(2),Pinteraction=0.006).CONCLUSIONS In elderly patients with AR,serum albumin levels showed an approximating L-shaped relationship with all-cause death,with thresholds of 35 g/L.Body mass index was significant effect modifiers of the association.These results suggest that serum albumin,as an inexpensive and readily available biochemical marker,may further improve the stratified risk of mortality in older AR patients.
基金supported by the National Natural Science Foundation of China(No.82173450&No.81770237).
文摘BACKGROUND Our understanding of the correlation between postdischarge cancer and mortality in patients with coronary artery disease(CAD)remains incomplete.The aim of this study was to investigate the relationships between postdischarge cancers and all-cause mortality and cardiovascular mortality in CAD patients.METHODS In this retrospective cohort study,25%of CAD patients without prior cancer history who underwent coronary artery angiography between January 1,2011 and December 31,2015,were randomly enrolled using SPSS 26.0.Patients were monitored for the incidence of postdischarge cancer,which was defined as cancer diagnosed after the index hospitalization,survival status and cause of death.Cox regression analysis was used to explore the association between postdischarge cancer and all-cause mortality and cardiovascular mortality in CAD patients.RESULTS A total of 4085 patients were included in the final analysis.During a median follow-up period of 8 years,174 patients(4.3%)developed postdischarge cancer,and 343 patients(8.4%)died.A total of 173 patients died from cardiovascular diseases.Postdischarge cancer was associated with increased all-cause mortality risk(HR=2.653,95%CI:1.727–4.076,P<0.001)and cardiovascular mortality risk(HR=2.756,95%CI:1.470–5.167,P=0.002).Postdischarge lung cancer(HR=5.497,95%CI:2.922–10.343,P<0.001)and gastrointestinal cancer(HR=1.984,95%CI:1.049–3.750,P=0.035)were associated with all-cause mortality in CAD patients.Postdischarge lung cancer was significantly associated with cardiovascular death in CAD patients(HR=4.979,95%CI:2.114–11.728,P<0.001),and cardiovascular death was not significantly correlated with gastrointestinal cancer or other types of cancer.CONCLUSIONS Postdischarge cancer was associated with all-cause mortality and cardiovascular mortality in CAD patients.Compared with other cancers,postdischarge lung cancer had a more significant effect on all-cause mortality and cardiovascular mortality in CAD patients.
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.
基金Supported by 2024 Central Financial Comprehensive Protection Project for Abies chensiensis(610000242000000026647)2024 Provincial Forestry and Grassland Reform and Development Fund for the National Key Wild Plant Protection Project(610000242000000028574)2024 Biodiversity Conservation Project(610000242000000024911).
文摘The implementation of the ecological protection red line serves as a crucial protective barrier for the conservation of wild plants with extremely small populations by delineating specific geographical areas designated for their conservation.The implementation of a comprehensive set of conservation measures aimed at establishing a biodiversity conservation network for wild plants with extremely small populations has laid the foundation for the health and stability of ecosystems,as well as the harmonious coexistence of humans and the natural environment.Research on the conservation of wild plants with extremely small populations serves as a critical foundation for informing and enhancing the effective conservation of such populations.This paper provides a systematic examination of the theoretical and practical conservation status of certain wild plants with extremely small populations and discusses the conservation trends of these populations within the framework of ecological protection red line delineation.In the future,strategies for the conservation of wild plants with extremely small populations should be integrated with an analysis of the causes of endangerment.This approach will provide a robust foundation for applied research focused on the conservation of these vulnerable plant populations.
基金supported by the National Nature Science Foundation of China(No.82370336&No.82330014)the Key Research and Development Plan of Heilongjiang Province(2022ZX06C23&JD2023SJ44)the Research Project of the First Affiliated Hospital of Harbin Medical University(No.2021M19).
文摘BACKGROUND Blood glucose and serum albumin have been associated with cardiovascular disease prognosis,but the impact of admission-blood-glucose-to-albumin ratio(AAR)on adverse outcomes in critical ill coronary artery disease(CAD)patients was not investigated.METHODS Patients diagnosed with CAD were non-consecutively selected from the MIMIC-IV database and categorized into quartiles based on their AAR.The primary outcome was 1-year mortality,and secondary endpoints were in-hospital mortality,acute kidney injury(AKI),and renal replacement therapy(RRT).A restricted cubic splines model and Cox proportional hazard models assessed the association between AAR and adverse outcomes in CAD patients.Kaplan-Meier survival analysis determined differences in endpoints across subgroups.RESULTS A total of 8360 patients were included.There were 726 patients(8.7%)died in the hospital and 1944 patients(23%)died at 1 year.The incidence of AKI and RRT was 63%and 4.3%,respectively.High AAR was markedly associated with in-hospital mortality(HR=1.587,P=0.003),1-year mortality(HR=1.502,P<0.001),AKI incidence(HR=1.579,P<0.001),and RRT(HR=1.640,P<0.016)in CAD patients in the completely adjusted Cox proportional hazard model.Kaplan-Meier survival analysis noted substantial differences in all endpoints based on AAR quartiles.Stratified analysis and interaction test demonstrated stable correlations between AAR and outcomes.CONCLUSIONS The results highlight that AAR may be a potential indicator for assessing in-hospital mortality,1-year mortality,and adverse renal prognosis in critical CAD patients.
文摘Measuring cardiorespiratory fitness(CRF)is an important predictor of morbidity and mortality in epidemiological studies and clinical settings.1 However,the feasibility of measuring maximal CRF is low due to the time,equipment,and expertise needed to conduct laboratory cardiopulmonary exercise testing(CPET)to determine the maximal rate of oxygen uptake(VO2max)as an objective measure of CRF.Alternatively,indirect estimates of CRF have been applied by measuring maximal duration on treadmill or cycle ergometer tests,2,3 extrapolating maximal CRF from workload or heart rate during submaximal fitness tests,4,5 and using non-exercise algorithms to estimate CRF from an individual’s age,sex,body mass,and physical activity habits.6 It is assumed that objectively measured VO2max is superior to extrapolated and estimated values due to errors associated with the estimated values;7,8 however,until Singh et al.9 newly released article in the Journal of Sport and Health Science,the comparability of these methods in identifying risks for all-cause and cardiovascular disease(CVD)mortality was unknown.
基金funded by the Fundamental Research Funds for the Central Universities(Project Approval Number 24CXTD01).
文摘General Secretary Xi Jinping’s important discourses on the protection of women’s rights and interests represent an organic integration of the Marxist view on women,the revolutionary and governance experience of the Communist Party of China(CPC)in leading efforts to safeguard women’s rights and interests,and the fine traditional Chinese culture.They form a systematic ideological framework and actionable guide characterized by contemporary relevance,originality,and coherence.General Secretary Xi Jinping has elaborated incisively on key dimensions of women’s rights protection,including political participation rights,personal and dignity rights,cultural and education rights,labor and property rights,and marriage and family rights.These expositions have facilitated the systematic incorporation of women’s rights and interests protection into laws and regulations,its elevation to the level of state will,and its internalization as norms of social conduct.Faced with the convergence of both emerging and longstanding challenges in protecting women’s rights and interests,we should,guided by these important expositions,embed women’s rights and interests protection into the thematic priorities of contemporary Chinese women’s movements,align our efforts with the new features and requirements of safeguarding women’s rights and interests in the new era,continuously strengthen Party leadership over such endeavors,and unswervingly follow the path of developing women’s cause with Chinese characteristics.
文摘用药是一个十分复杂的过程,通常需要经历10多个步骤,即诊断、选药、处方、转抄医嘱、审核处方、调配、核对、发药、保存、计算剂量、稀释配制、按时用药、观察效果、监测体内浓度、监测不良反应、调整用药方案等。每一步都有可能发生差错。给药错误指的是病人实际接受的药物与医嘱之间存在差异。我们采用根本原因分析法（root cause analysis,RCA）对1例门诊病人化疗给药错误作回顾性分析,
