1.TCM Data Hub: A traditional Chinese medicine data platform powered by YiYuan large language models
Chongyun ZHOU ; Qin LI ; Tangming CUI ; Chaohui CUI ; Peiyu WANG ; Meiling SUN ; Ying NIE ; Yichen BAI ; Haiyan LI
Science of Traditional Chinese Medicine 2026;4(2):140-151
The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.
2.Ultrasound radiomics combined with machine learning for early diagnosis of seronegative hashimoto’s thyroiditis
Wenjun WU ; Chang LIU ; Shengsheng YAO ; Daming LIU ; Yuan LUO ; Yihan SUN ; Ting RUAN ; Mengyou LIU ; Li SHI ; Mingming XIAO ; Qi ZHANG ; Zhengshuai LIU ; Xingai JU ; Jiahao WANG ; Xiang FEI ; Li LU ; Yang GAO ; Ying ZHANG ; Liying GONG ; Xuanyu CHEN ; Wanli ZHENG ; Xiali NIU ; Xiao YANG ; Huimei CAO ; Shijie CHANG ; Zuoxin MA ; Jianchun CUI
Chinese Journal of Endocrine Surgery 2025;19(3):313-319
Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.
3.The effects of resveratrol on the S1P/TGF-β pathway,epithelial mesenchymal transition,and oxidative stress levels in asthmatic young mice induced by ovalbumin
Jingwei ZHAO ; Xiaojuan LI ; Ying LIU ; Huixian CUI ; He LIU
Immunological Journal 2025;41(3):138-143,149
Objective To investigate the effect of resveratrol on airway remodeling induced by ovalbumin(OVA)in asthmatic young mice based on the sphingosine-1-phosphate(S1P)/transforming growth factor-β1(TGF-β1)pathway.Methods Young mice were randomly assigned into normal group,model group,S1P group,resveratrol group,and resveratrol+S1P group,with 12 mice in each group.A mouse model of asthma induced by OVA was established.The Wright Giemsa staining was applied to detect the number of inflammatory cells in bronchoalveolar lavage fluid(BALF).ELISA was applied to detect the levels of interleukin-4(IL),IL-5,and IL-13 in BALF.The colorimetric method was applied to detect the activities of SOD and CAT and the content of MDA in lung tissue.HE staining was applied to observe pathological changes in lung tissue,and the wall area of bronchial tube(Wat)and perimeter of basement membrane(Pbm)were analyzed.Masson staining was applied to observe the area of collagen fibers in lung tissue.Immunohistochemistry was applied to detect the expression of α-SMA in lung tissue.Western blot was applied to detect the expression of E-cadherin,N-cadherin,Snail,SP1,and TGF-β1 proteins in lung tissue.Results Compared with the normal group,the number of eosinophils,lymphocytes,neutrophils,levels of IL-4,IL-5,and IL-13 in BALF,lung tissue MDA content,Wat/Pm ratio,collagen fiber area,α-SMA positive expression,the protein levels of N-cadherin,Snail,SP1,TGF-β1 increased in the model group,while the activities of SOD,CAT,and the protein level of E-cadherin in lung tissue decreased(P<0.05).Compared to the model group,the number of eosinophils,lymphocytes,neutrophils,levels of IL-4,IL-5,and IL-13 in BALF,lung tissue MDA content,Wat/Pm ratio,collagen fiber area,α-SMA positive expression,the protein levels of N-cadherin,Snail,SP1,TGF-β1 decreased in the resveratrol group,while the activities of SOD,CAT,and the protein level of E-cadherin in lung tissue increased(P<0.05).The S1P recombinant protein could weaken the inhibitory effect of resveratrol on airway remodeling in asthmatic young mice.Conclusion Resveratrol can inhibit oxidative stress,airway inflammation,and epithelial mesenchymal transition,thereby suppressing airway remodeling in asthmatic young mice.Its effect is related to the inhibition of the S1P/TGF-β1 signaling pathway.
4.Serological and Molecular Biological Detection of RhD Variants.
Dao-Ju REN ; Chun-Yue CHEN ; Xiao-Wei LI ; Jun XIAO ; Xiao-Juan ZHANG ; Cui-Ying LI
Journal of Experimental Hematology 2025;33(2):498-503
OBJECTIVE:
To analyze the RHD genotyping and sequencing results of RhD serology negative samples in the clinic, and to further explore the laboratory methods for RhD detection, in order to provide a basis for clinical precision blood transfusion.
METHODS:
A total of 27 200 whole blood samples were screened for RhD blood group antigen using microcolumn gel card method.Serologic RhD-negative confirmation tests were performed on blood samples that were negative for RhD on initial screening using three different clonal strains of IgG anti-D reagents. The 10 exons of the RHD gene on chromosome 1 were also analyzed by PCR-SSP to determine RHD genotyping.When the PCR-SSP method did not yield definitive results, the RHD gene of the sample was analyzed by the third-generation sequencing.
RESULTS:
The results of the initial screening test by the microcolumn gel card method showed that 136 of the 27 200 samples were RhD-negative, of which 86 underwent RhD-negative confirmation testing and RHD genotyping, 88.37% (76/86 cases) of the RhD-negative confirmation test results were negative for the three anti-D reagents, and the results of RHD genotyping showed that 67.44% (58/86 cases) of the cases had a complete deletion of 10 exons, and the remaining 28 cases were RHD*711delC (1 case), RHD*D-CE(1-9)-D (1 case), RHD*D-CE(2-9-)D (2 cases), RHD*D-CE(3-9)-D (4 cases), RHD*DEL1 (c.1227G >A) mutation (16 cases), RHD*weak partial 15(845G >A) mutation (3 cases), and a mutation of c.165C >T base was found in 1 sample by three-generation sequencing.
CONCLUSION
RHD genotype testing of samples that are serologically negative for RhD antigen shows that some of the samples have RHD gene variants, not all of which are total deletions of RHD, suggesting that there are some limitations of the serologic method for RhD detection. Due to the polymorphism of the RHD gene structure, different RhD variants present different serologic features, which need to be further detected in combination with molecular biology testing, especially for the identification of Asian-type DELs, which is important for clinical precision blood transfusion.
Humans
;
Rh-Hr Blood-Group System/genetics*
;
Genotype
;
Polymerase Chain Reaction
;
Exons
;
Blood Grouping and Crossmatching
5.Epidemiological survey of osteoporosis in Beijing over the past decade: a single-center analysis of dual-energy X-ray absorptiometry scans from 30 599 individuals.
Ying ZHOU ; Danyang ZHANG ; Lifan WU ; Guishan WANG ; Jiedan MU ; Chengwen CUI ; Xiuxiu SHI ; Jige DONG ; Yu WANG ; Wangli XU ; Xiao LI
Journal of Southern Medical University 2025;45(3):443-452
OBJECTIVES:
To analyze bone mass distribution and the factors affecting bone mass in a general Chinese Han cohort undergoing physical examinations at our center.
METHODS:
We retrospectively collected the data of bone mineral density (BMD) measurements from 30 599 healthy Han Chinese adults (age≥20 years) who underwent dual-energy X-ray absorptiometry scans at our hospital from July, 2013 to July, 2023. Basic parameters including height, body weight, and gender were recorded, and descriptive statistics and correlation analyses were performed using R software.
RESULTS:
In this cohort, the male individuals had a mean peak BMD of 1.00±0.12 g/cm2 in the lumbar vertebrae, 0.94±0.14 g/cm2 in the femoral neck, and 0.99±0.13 g/cm2 in the total hip, significantly higher than the values in the female individuals [0.99±0.12 g/cm2 in the lumbar vertebrae (P=0.022), 0.79±0.11 g/cm2 in the femoral neck (P<0.001), and 0.88±0.11 g/cm2 in the total hip (P<0.001)]. In the overall cohort, the BMD values of the lumbar spine and femur decreased with age after reaching their peak levels. There was a positive correlation between BMD value and body mass index (BMI) in both male and female individuals. The 2013-2014 period recorded the lowest BMD values in the lumbar, hip, and femoral neck, which tended to increase steadily in the following years (2015-2023).
CONCLUSIONS
Our data suggest that the BMD values vary among different populations, and future multi-center studies using more accurate BMD detection technology are warranted to capture the variation patterns of BMD with demographic characteristics of specific populations.
Humans
;
Bone Density
;
Absorptiometry, Photon
;
Male
;
Female
;
Retrospective Studies
;
Osteoporosis/diagnostic imaging*
;
Adult
;
Middle Aged
;
Lumbar Vertebrae/diagnostic imaging*
;
China/epidemiology*
;
Femur Neck/diagnostic imaging*
;
Aged
;
Beijing/epidemiology*
;
Young Adult
6.Diverse Subtypes of Cardiovascular Disease Risk Evaluated by Novel PREVENT Associated with Different Polycyclic Aromatic Hydrocarbon Metabolites.
Ye XIN ; Yu Cheng SUN ; Lin CHEN ; Feng Tao CUI ; Ying Ge DUAN ; Han Yun WANG ; Li CHEN ; Tian CHEN ; Pi Ye NIU ; Jun Xiang MA
Biomedical and Environmental Sciences 2025;38(10):1217-1229
OBJECTIVE:
To investigate the association of various polycyclic aromatic hydrocarbon (PAH) metabolites with diverse subtypes of cardiovascular disease (CVD) risk.
METHODS:
A novel predicting risk of cardiovascular disease EVENTs PREVENT equation was used to estimate the 10-year diverse subtypes of CVD risk, and their associations with PAH metabolites were analyzed using multiple logistic regression models, the weighted quantile sum (WQS) model, the quantile g-computation (qgcomp) model, and a stratified analysis of subgroups.
RESULTS:
For this study, six thousand seven hundred and forty-five participants were selected, and significant positive associations were observed between PAHs, naphthalene (NAP), and fluorene (FLU), and the risks of total CVD, atherosclerotic cardiovascular disease (ASCVD), and heart failure (HF). NAP and FLU were the primary contributors to the effects of PAH mixtures, and their associations with total CVD, ASCVD, and HF risk were significant in younger participants (30 ≤ age < 50 years); however, the associations of phenanthrene (PHEN) with ASCVD, HF, coronary heart disease (CHD), and stroke were dominant in aging participants (age ≥ 50 years). Notably, pyrene (PYR) was negatively associated with the risk of ASCVD, HF, CHD, and stroke. Similarly, negative associations of PYR with the four CVD subtypes were noticeable in aging participants.
CONCLUSION
Different PAHs metabolites had different impacts on each CVD subtype among different age groups. Notably, the protective effects of PYR on ASCVD, HF, CHD, and stroke were noticeable in aging individuals.
Humans
;
Cardiovascular Diseases/chemically induced*
;
Middle Aged
;
Polycyclic Aromatic Hydrocarbons/metabolism*
;
Male
;
Female
;
Adult
;
Aged
;
Risk Factors
;
China/epidemiology*
7.Health Risks from Exposure to PM 2.5-bound Polycyclic Aromatic Hydrocarbons in Fumes Emitted from Various Cooking Styles and Their Respiratory Deposition in a City Population Stratified by Age and Sex.
Jun Feng ZHANG ; Xi CHEN ; Ke GAO ; Shui Yuan CHENG ; Wen Jiao DUAN ; Li Ying FU ; Jian Jia LI ; Shu Shu LAN ; Cui Lan FANG
Biomedical and Environmental Sciences 2025;38(10):1230-1245
OBJECTIVES:
To characterize fine particulate matter (PM 2.5)-bound polycyclic aromatic hydrocarbons (PAHs) emitted from different cooking fumes and their exposure routes and assess their health-associated impact to provide a reference for health risk prevention from PAH exposure across different age and sex groups.
METHODS:
Sixteen PM 2.5-bound PAHs emitted from 11 cooking styles were analyzed using GC-MS/MS. The health hazards of these PAHs in the Handan City population (stratified by age and sex) were predicted using the incremental lifetime cancer risk ( ILCR) model. The respiratory deposition doses ( RDDs) of the PAHs in children and adults were calculated using the PM 2.5 deposition rates in the upper airway, tracheobronchial, and alveolar regions.
RESULTS:
The total concentrations of PM 2.5-bound PAHs ranged from 61.10 to 403.80 ng/m 3. Regardless of cooking styles, the ILCR total values for adults (1.23 × 10 -6 to 3.70 × 10 -6) and older adults (1.28 × 10 -6 to 3.88 × 10 -6) exceeded the acceptable limit of 1.00 × 10 -6. With increasing age, the ILCR total value first declined and then increased, varying substantially among the population groups. Cancer risk exhibited particularly high sensitivity to short exposure to barbecue-derived PAHs under equivalent body weights. Furthermore, barbecue, Sichuan and Hunan cuisine, Chinese cuisine, and Chinese fast food were associated with higher RDDs for both adults and children.
CONCLUSION
ILCR total values exceeded the acceptable limit for both females and males of adults, with all cooking styles showing a potentially high cancer risk. Our findings serve as an important reference for refining regulatory strategies related to catering emissions and mitigating health risks associated with cooking styles.
Humans
;
Polycyclic Aromatic Hydrocarbons/analysis*
;
Cooking/methods*
;
Male
;
Female
;
Particulate Matter/analysis*
;
Adult
;
Child
;
Middle Aged
;
Air Pollutants/analysis*
;
Adolescent
;
Air Pollution, Indoor/analysis*
;
Young Adult
;
Child, Preschool
;
Aged
;
China
;
Inhalation Exposure
;
Age Factors
;
Sex Factors
;
Cities
;
Infant
8.Residual Inflammatory Risk and Intracranial Atherosclerosis Plaque Vulnerability: Insights From High-Resolution Magnetic Resonance Imaging
Ying YU ; Rongrong CUI ; Xin HE ; Xinxin SHI ; Zhikai HOU ; Yuesong PAN ; Mingyao LI ; Jiabao YANG ; Zhongrong MIAO ; Yongjun WANG ; Rong WANG ; Xin LOU ; Long YAN ; Ning MA
Journal of Stroke 2025;27(2):207-216
Background:
and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS).
Methods:
This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement.
Results:
Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage.
Conclusion
In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.
9.Construction of an early rehabilitation exercise program for patients with agoraphobia after total knee arthroplasty
Miaoran CUI ; Mengfei YANG ; Ying LI ; Linyi LI ; Junmei QIN ; Xiaotong XUE ; Libai CAI
Chinese Journal of Modern Nursing 2025;31(22):2994-3000
Objective:To construct an early rehabilitation exercise program for patients with agoraphobia after total knee arthroplasty (TKA) to provide guidance for orthopedic rehabilitation nursing practice.Methods:The first draft of an early rehabilitation exercise program for patients with agoraphobia after TKA was developed through literature search, semi-structured interviews, and group discussions. From November to December 2023, 20 experts from nine provinces and centrally administered municipalities were selected for two rounds of expert consultation using the Delphi method to form the final draft of the early rehabilitation exercise program for patients with agoraphobia after TKA.Results:In two rounds of consultation, the questionnaire recovery rates were 91.30% (21/23) and 95.24% (20/21), with authority coefficients of 0.92 and 0.96, and Kendall's coordination coefficients of 0.28 and 0.34, respectively ( P<0.05). After the second round of consultation, the mean importance assignment scores for all levels of indicators ranged from 3.90 to 5.00, with coefficients of variation ranging from 0 to 0.20. The finalized early rehabilitation exercise program for patients with agoraphobia after TKA contained two parts, including the preface and the main text, and the main text consisted of five first-level items, 21 second-level items, and 35 third-level items. Conclusions:The content of the early rehabilitation exercise program for patients with agoraphobia after TKA is scientific, reasonable, comprehensive, practical and targeted, which can provide a basis for clinical medical and nursing personnel to guide the early rehabilitation exercise for patients with agoraphobia after TKA.
10.Effect of preoperative anxiety on consciousness and autonomic nervous activity during propofol anesthesia
Guanqi MA ; Ying HU ; Weifeng TU ; Cui LI ; Jinping GUAN ; Junlong ZHANG
Chinese Journal of Anesthesiology 2025;45(1):42-48
Objective:To evaluate the effect of preoperative anxiety on the consciousness and autonomic nervous activity during propofol anesthesia.Methods:This study was a secondary analysis of data from the clinical trial in a prospective single-arm study. One hundred and thirty patients, aged 18-65 yr, with a body mass index of 18.5-27.9 kg/m 2, of American Society of Anesthesiologists Physical Status classification I or Ⅱ, scheduled to receive propofol anesthesia, were selected from the Second People′s Hospital of Lianyungang. The six-item of the state anxiety inventory (SAI) of the State-Trait Anxiety Inventory was used to assess the anxiety of patients 1 h before surgery. The patients were divided into 2 groups according to the cut-off value of 12: obvious anxiety symptom (SAI score >12) group (group A, n=49) and no obvious anxiety symptom (SAI score ≤12) group (group B, n=81). After admission to the operating room, the patient was required to hold a 50 ml syringe filled with water. Propofol was given by target-controlled infusion (TCI) with the target plasma concentration set at 5 μg/ml. When the effect-site concentration (Ce) of propofol increased to 3.5 μg/ml (all the patients lost consciousness), the closed-loop TCI was used to maintain BIS value between 45 and 55. The patients were monitored for 20 min after stopping the pump infusion (anesthesia recovery period). The disappearance time of verbal command, disappearance time of eyelash reflex, time of syringe dropping, recovery time of verbal command, recovery time of eyelash reflex, Ce at the recovery of verbal command, Ce at the recovery of eyelash reflex, Ce within the first 5 min of the closed-loop TCI, and consumption of propofol during anesthesia were recorded. The peripheral perfusion index, low frequency power and high frequency power of heart rate variability were recorded, and the ratio of low frequency power to high frequency power was calculated. Pearson correlation analysis was used to assess the correlation between preoperative SAI score and consciousness-related indicators, simulated Ce of propofol and consumption of propofol. Results:Compared with group B, the disappearance time of verbal command, disappearance time of eyelash reflex, and time of syringe dropping were significantly prolonged, the consumption of propofol, simulated Ce at recovery of verbal command and within the first 5 min of closed-loop TCI were increased, the peripheral perfusion index was decreased at each time point before administration and at 14-20 min of anesthesia recovery, and the low-frequency power was decreased during anesthesia maintenance in group A ( P<0.05). The SAI score was positively correlated with the disappearance time of verbal command ( r=0.220, P=0.012), time of syringe dropping ( r=0.206, P=0.029), consumption of propofol ( r=0.330, P<0.001), and the simulated Ce at the recovery of verbal command ( r=0.215, P=0.015) and simulated Ce at recovery of eyelash reflex ( r=0.207, P=0.022). Conclusions:Preoperative anxiety may lead to prolonged loss of consciousness and more marked inhibition of sympathetic nerve activity during propofol anesthesia.

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