The shaoyang meridian is an important pivot between the internal organs and meridians system， with the functions of regulating qi and blood， balancing yin and yang， and coordinating the ascending and descending movement of qi. Dysfunction of the shaoyang pivot can lead to spleen and kidney deficiency， impaired liver and gallbladder qi regulation， and stagnation of qi and blood. It is believed that the onset and progression of Crohn's disease are closely related to shaoyang pivot dysfunction， with the core pathogenesis characterized by shaoyang disharmony， spleen deficiency， dampness retention， and blood stasis. Based on this understanding， the treatment principle centers on harmonizing the shaoyang pivot， supplemented by methods such as warming and nourishing the spleen and stomach， tonifying shaoyang， and soothing the liver and benefiting the gallbladder. Acupuncture is employed to target key acupoints along the shaoyang meridian to restore its regulatory functions， improve spleen and stomach transformation and transportation， facilitate liver and gallbladder qi flow， and promote the circulation of qi and blood. This provides a practical therapeutic approach for acupuncture-based treatment of Crohn's disease.

Background Previous studies found that high temperature and heatwave increase the risk of traffic injuries. The complex road conditions in Yunnan Province result in frequent traffic accidents. However, there is limited evidence on the correlation between heatwave and traffic injuries in Yunnan Province. Objective To assess the association between heatwave events and traffic injuries, to estimate its disease burden, and to identify relevant sensitive groups. Methods We collected data on traffic injury cases and concurrent meteorological information from four surveillance sites in Yunnan Province, China: Dali, Lufeng, Zhaoyang, and Qilin from May to September each year from 2015 to 2023. Traffic injury cases refer to patients who visited the outpatient or emergency departments of local surveillance hospitals for the first time due to traffic injuries. Meteorological data were derived from the fifth generation atmosphericreanalysis dataset of the global climate provided by the European Centre for Medium-Range Weather Forecasts. A time-stratified case-crossover design combined with distributed lag non-linear model was used to analyze the association between short-term exposure to heatwave and traffic injuries. We also conducted subgroup analyses by sex, age, occupation, injury cause, activity at the time of injury occurrence, and severity of injury. Results A total of 34764 traffic injury surveillance cases were included in the analysis. The risk of traffic injuries occurred during heatwave was 1.13 times (95%CI: 1.07, 1.20) greater than those occurred during non-heatwave, and 2.64% (95%CI: 1.49%, 3.73%) of traffic injuries were attributed to heatwave exposure throughout the study period. The results of stratified analysis showed greater impacts of heatwave on the risk of traffic injuries in female [odds ratio (OR)=1.17, attributable fraction (AF)=3.23%], people aged 15-64 years (OR=1.13, AF=2.68%), farmers/workers (OR=1.22, AF=4.07%), people with non-motor vehicle traffic injuries (OR=1.17, AF=3.24%), people who were driving or riding when injuries occurred (OR=1.12, AF=2.43%), and people with minor injuries (OR=1.18, AF=3.49%) ( P<0.05). Longer duration [excess risk (ER)=0.99%] and greater intensity (ER=4.12%) of heatwave had greater impacts on the risk of traffic injuries (P<0.05). Conclusion Heatwave events are associated with an increased risk of traffic injuries. Female, people aged 15-64, farmers/workers, people with non-motor vehicle traffic injuries, those injured while driving/riding a vehicle, and people with minor injuries are particularly vulnerable. The findings suggest that targeted mitigation and adaptation measures should be taken to address the risk of traffic injuries associated with extreme climate events.

Background High-sensitivity C-reactive protein (hs-CRP) is a sensitive biomarker for cardiovascular disease (CVD) and can independently predict the risk of cardiovascular events. Although the association between per- and polyfluoroalkyl substances (PFAS) exposure and CVD risk has been widely reported, studies on the association between hs-CRP and PFAS remain limited. Objective To investigate the association between PFAS and hs-CRP levels, to provide a scientific basis for early identification and prevention of environment-related cardiovascular events. Methods This study utilized data from the National Health and Nutrition Examination Survey (NHANES) database (2015–2018). Based on predefined inclusion and exclusion criteria, a total of 3219 participants were included for subsequent analysis. Five PFAS with detection rates exceeding 90% were selected as exposure factors and log-transformed (lnPFAS) for subsequent analysis, including perfluorohexane sulfonic acid (PFHxS), perfluorononanoic acid (PFNA), perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), and perfluorodecanoic acid (PFDA). After selecting potential confounders through a change-in-estimate approach, logistic regression was employed to examine the effects of individual PFAS on serum hs-CRP level. Additionally, quantile g-computation and Bayesian kernel machine regression (BKMR) were applied to assess the combined effects of PFAS mixtures on hs-CRP. Results The study included 3219 participants with a mean age of (50.4±17.6) years, of whom 1554 (48.28%) were male. The median concentrations of the five PFAS compounds were: 1.20 ng·mL⁻¹ (PFHxS), 0.50 ng·mL⁻¹ (PFNA), 1.50 ng·mL⁻¹ (PFOA), 5.20 ng·mL⁻¹ (PFOS), and 0.20 ng·mL⁻¹ (PFDA). The Wilcoxon rank-sum tests revealed statistically significant differences between the elevated serum hs-CRP (≥2 mg·L⁻¹) and normal (<2 mg·L⁻¹) groups for all five PFAS compounds (PFHxS: P=0.005; PFNA: P=0.009; PFOA: P<0.001; PFOS: P<0.001; PFDA: P<0.001). After adjusting for potential confounders, the analysis of individual PFAS exposure demonstrated significant negative associations between serum hs-CRP levels and both ln-PFOS (OR: 0.87; 95%CI: 0.79, 0.96; P=0.0036) and lnPFDA (OR: 0.78; 95%CI: 0.71, 0.86; P < 0.001). The joint effect analysis using quantile g-computation revealed an overall inverse association between PFAS mixtures and hs-CRP, with lnPFDA emerging as a primary contributor; an similar association was observed in males, but not significant in females. Further evaluation through BKMR showed that when PFAS mixture concentrations reached or exceeded P₇₀, their combined effect on hs-CRP became significantly lower than when all PFAS concentrations were at P₅₀, establishing a clear negative dose-response relationship. Conclusion The mixed exposure to PFAS showed a significant negative joint effect on serum hs-CRP levels, with PFDA being the key component contributing to this combined effect. Future prospective cohort studies are warranted to further validate these findings and elucidate the underlying mechanisms involved.

OBJECTIVE To investigate the improvement effects and its mechanism of Bazheng powder on chronic urinary tract infection （CUTI） induced by Escherichia coli in rats. METHODS The rats were divided into normal control group， model group， levofloxacin group （45 mg/kg） and Bazheng powder group （4.95 g/kg）， with 10 rats in each group. Except for the normal control group， other groups were administered an intravesical injection of Escherichia coli suspension （1×10⁸ cfu/mL） via the urethra to establish CUTI model； at the same time， rats in each group were administered the corresponding medicinal solution or water by gavage once a day for 4 consecutive weeks. After the last medication， blood routine tests （white blood cell count and lymphocyte percentage）， the levels of serum inflammatory factors [interleukin-1β （IL-1β）， IL-6， IL-8， tumor necrosis factor-α （TNF-α）]， and immune indicators [CD4， CD8， secretory immunoglobulin A （SIgA）]， renal function indicators [cystatin C （Cys-C）， α1- microglobulin （α1-MG）， urea and creatinine] were all determined； the pathological changes in renal and bladder tissues in rats were observed. The protein expressions of Toll-like receptor 4 （TLR4）， nuclear factor-κB （NF-κB）， and nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 （NLRP3） in rat bladder tissues were detected. RESULTS Compared with the normal control group， the levels of IL-1β， IL-6， IL-8， TNF-α， CD8， Cys-C， α1-MG， urea and creatinine in serum， as well as the protein expressions of TLR4， NF-κB and NLRP3 in bladder tissues， were significantly elevated in the model group （P＜0.05）. Conversely， the levels of CD4 and SIgA were significantly decreased （P＜0.05）. Pathological changes， such as extensive infiltration of inflammatory cells， were observed in both renal and bladder tissues. Compared with the model group， the above quantitative indicators in the Bazheng powder group were significantly improved （P＜0.05）， with no obvious inflammatory lesions observed in either renal or bladder tissues. CONCLUSIONS Bazheng powder can alleviate inflammatory reaction and improve the immune function of CUTI rats， and its mechanism may be related to the inhibition of TLR4/NF-κB/ NLRP3 signaling pathway.

OBJECTIVE: To observe the effect of acupuncture at Jiaji (EX-B2) points on upper limb motor dysfunction in patients after stroke. METHODS: A total of 62 patients with upper limb motor dysfunction after stroke were randomly assigned to an observation group (n=31, 3 cases dropped out) and a control group (n=31, 2 cases dropped out). Both groups received routine medical treatment and rehabilitation training. The control group was treated with conventional acupuncture at the affected side's Jianyu (LI15), Quchi (LI11), Shousanli (LI10), Huantiao (GB30), Yanglingquan (GB34), and Zusanli (ST36) etc. On this basis, the observation group received additional acupuncture at the affected side's Jiaji points from C₄ to T₅. Treatment was administered once daily, five times a week, for four weeks. Motor evoked potential (MEP) latency and amplitude of the abductor pollicis brevis and abductor digiti minimi, Fugl-Meyer assessment for upper extremity (FMA-UE), and Wolf motor function test (WMFT) scores were compared before and after treatment in the two groups. RESULTS: After treatment, both groups showed increased MEP amplitudes and decreased latencies of the abductor pollicis brevis and abductor digiti minimi (P<0.05), as well as increased FMA-UE and WMFT scores (P<0.05); the observation group had greater MEP amplitudes, shorter latencies, and higher FMA-UE and WMFT scores compared to the control group (P<0.05). CONCLUSION Acupuncture at Jiaji (EX-B2) points could enhance the excitability of upper limb motor neural pathways in upper limb motor dysfunction after stroke patients, thereby promoting motor function recovery of the upper limb.
Humans ; Acupuncture Therapy ; Male ; Female ; Middle Aged ; Acupuncture Points ; Stroke/complications* ; Upper Extremity/physiopathology* ; Aged ; Adult ; Stroke Rehabilitation ; Treatment Outcome

INTRODUCTION: The primary objective of this guideline is to establish evidence-based recommendations for the clinical use of parenteral nutrition (PN) in adult patients within the acute hospital setting in Singapore. METHOD: An expert workgroup, consisting of healthcare practitioners actively involved in clinical nutrition support across all public health institutions, systematically evaluated existing evidence and addressed clinical questions relating to PN therapy. RESULTS: This clinical practice guideline developed 30 recommendations for PN therapy, which cover these key aspects related to PN use: indications, patient assess-ment, titration and formulation of PN bags, access routes and devices, and monitoring and management of PN-related complications. CONCLUSION This guideline provides recommendations to ensure appropriate and safe clinical practice of PN therapy in adult patients within the acute hospital setting.
Humans ; Singapore ; Parenteral Nutrition/adverse effects* ; Adult

OBJECTIVES: We propose a multimodal model integrating social media text and image data for automated assessment of psychological stress in college students to support the development of intelligent mental health services in higher education institutions. METHODS: Based on deep learning technology, we designed an evaluation framework comprising a text sentiment modeling module, an image sentiment modeling module, and a multimodal fusion prediction module. Text sentiment features were extracted using Bi-LSTM, and image semantic cues were extracted via U-Net. A feature concatenation strategy was used to enable cross-modal semantic collaboration to achieve automatic identification of 3 psychological stress levels: mild, moderate, and severe. We constructed a multimodal annotated dataset using social platform data from 1577 students across multiple universities in Guangdong Province. After data cleaning, 252 samples were randomly selected for model training and testing. RESULTS: In the 3-classification task, the model demonstrated outstanding performance on the test set, and achieved an accuracy of 92.86% and an F1 score of 0.9276, exhibiting excellent stability and consistency. Confusion matrix analysis further revealed the model's ability to effectively distinguish between different pressure levels. CONCLUSIONS The multimodal psychological stress assessment model developed in this study effectively integrates unstructured social behavior data to enhance the scientific rigor and practical applicability of psychological state recognition, and thus provides support for developing intelligent psychological service systems.
Humans ; Stress, Psychological/diagnosis* ; Students/psychology* ; Universities ; Social Media ; Deep Learning

Objective To investigate the characteristics and differences of congenital endowment in senile dementia population based on the theory of five circuits and six qi.Methods Based on the cross-sectional data of China Health and Retirement Longitudinal Survey(CHARLS)in 2018,the dementia status of the population aged 60 and above in China was evaluated by using the Mini-Mental State Examination(MMSE),and the five-circuit and six-qi features at birth in the senile dementia population were analyzed by descriptive statistics and Chi-square goodness-of-fit test.Results A total of 854 patients with senile dementia were included.The five-circuit and six-qi features at birth in the senile dementia population were as follows:most of them were born at the heavenly stem of Bing while the least at the heavenly stem of Ji and Geng(P＜0.001),most of them were born at the earthly branch of Wei while the least at the earthly branch of Zi(P＜0.001),most of them were born at the yearly circuit of excessive water circuit while the least at the yearly circuit of excessive gold circuit and deficient earth circuit(P＜0.001),and most of the patients were born at sitan of taiyin damp-earth and zaiquan of taiyang cold-water while the least at sitan of jueyin wind-wood and zaiquan of shaoyang ministerial fire;no statistically significant differences were found in the dominant qi and guest qi(P＞0.05);most of the patients were born in the year of combination of circuit and qi being Shunhua while the least in the year of combination of circuit and qi being same celestial correspondence(P＜0.001),and the patients born in the year of Shunhua usually were frequently distributed in heavenly-stem and earthly-branch year of Jiawu(P＜0.001).Conclusion There is a certain relationship between the congenital endowment at birth and the incidence of senile dementia in the population of senile dementia.The circuit-qi features at birth for the prevalence of senile dementia are the yearly circuit of excessive water circuit,sitan of taiyin damp-earth and zaiquan of taiyang cold-water,and the year of the combination of circuit and qi being Shunhua.The population born at the time with the above circuit-qi features are prone to suffer the injury of the kidneys,the heart,and the spleen,and then result into illness.

ObjectiveTo explore a rapid and accurate method for evaluating the quality of Prunus mandshurica (Maxim.) Koehne (P. mandshurica, Ku Xing Ren) during rancidity using machine vision and learning.MethodsSensory evaluation and chemometrics were used to classify P. mandshurica quality grades after rancidity. Chemical indicators of the P. mandshurica quality change were determined to verify the obtained grades and support the subsequent modeling. The International Commission on Illumination color space was used to extract the color features of the P. mandshurica. Discrimination and prediction models based on color features combined with multiple machine learning algorithms were established using 10-fold cross-validation and external test set validation.ResultsThe P. mandshurica rancidity samples were allocated to three quality grades. The Bayes net model based on powder color successfully identified the P. mandshurica at different grades with an accuracy of 88.89% and 100% using two validations, and the naive Bayes model based on section color achieved the same accuracy with an receiver operating characteristic area of 0.979. The instance-based k-nearest neighbors model based on powder color performed best in predicting the amygdalin content [R2 = 0.9801, mean absolute error (MAE) = 0.2071, root mean squared error (RMSE) = 0.4170], followed by the random committee model in predicting the acid value (R2 = 0.9580, MAE = 1.5121, RMSE = 1.9099) and the random forest model in predicting the peroxide value (R2 = 0.8857, MAE = 0.0027, RMSE = 0.0035).ConclusionThis study demonstrates that color digitization analysis is a potential method for rapidly evaluating the quality of P. mandshurica across the rancidity process, providing a new reference for the quality assessment of traditional Chinese medicines.