OBJECTIVE To investigate the mechanism of Shenling baizhu san （SLBZS） in ameliorating ulcerative colitis （UC）. METHODS Mice were randomly divided into normal group， model group， and low-， medium-， high-dose SLBZS groups （3， 6， 12 g/kg）， with 10 mice in each group. Except for the normal group， mice in other groups were given free access to 3% dextran sulfate sodium solution for 7 days to establish UC models. Simultaneously， mice in each group were intragastrically administered corresponding medicinal liquid or double-distilled water once a day for consecutive 7 days. After the last administration， the histopathological morphology of colon tissues was observed； the serum levels of inflammatory factors including tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β） and IL-18 were detected； the total bile acid contents in liver， gallbladder and colon tissues were determined； the expression level of NOD-like receptor family pyrin domain-containing protein 3 （NLRP3） in colon tissues was tested. The expression levels of flora metabolism-related proteins [G protein-coupled receptor 41（GPR41），GPR43，farnesoid X receptor （FXR）， G protein-coupled bile acid receptor 1 （TGR5）， flavin-containing monooxygenase 3 （FMO3）， cytochrome P450 family 27 subfamily A member 1 （CYP27A1）， CYP7A1] in liver or colon tissues， as well as the proteins related to Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB）/NLRP3 inflammatory axis [TLR4， NF-κB， phosphorylated NF-κB （p-NF-κB）， myeloid differentiation factor 88 （MyD88）， NLRP3， apoptosis-associated speck-like protein containing a CARD （ASC）， caspase-1] in colon tissues were measured. RESULTS Compared with the model group， the colon tissue injury and inflammatory cell infiltration were alleviated in medium- and high-dose SLBZS groups. The serum levels of TNF-α， IL-1β and IL-18， total bile acid contents in liver and colon tissues， as well as the protein expression levels of FMO3 and CYP7A1 in liver tissues， TLR4， p-NF-κB， NF-κB， MyD88， NLRP3， ASC and caspase-1 in colon tissues were significantly decreased （P＜0.05）. Meanwhile， the total bile acid content in gallbladder， the protein expression levels of GPR41 and GPR43 in colon tissues， along with CYP27A1， FXR and TGR5 in liver tissues were significantly increased （P＜0.05）. CONCLUSIONS SLBZS may relieve colonic inflammatory injury and ameliorate UC by regulating the expression of flora metabolism-related proteins and inhibiting the abnormal activation of TLR4/NF-κB/NLRP3 inflammatory axis.

Haloacetic acids(HAAs),as a class of disinfection byproducts in drinking water,pose potential threats to human health,so the rapid,accurate and simultaneous detection of HAAs is of great significance for ensuring drinking water safety.Aiming at the challenges in HAAs detection and risk analysis,a novel method for synchronous rapid detection of seven kinds of HAAs in drinking water based on in situ derivatization technology and headspace gas chromatography was developed in this study.Through single-factor optimization experiments,the optimal reaction parameters for in situ derivatization were determined,including the type and dosage of salting-out agent,the acidity of reaction system,the amount of phase transfer catalyst,the dosage of derivatization agent,and the extraction solvent volume.Methodologic validation showed that the seven kinds of HAAs exhibited excellent linear relationships within their respective detection concentration ranges(R2>0.998).The method detection limits(MDLs)ranged from 0.04 to 0.33 μg/L,and the limits of quantification(LOQs)were between 0.14 and 1.34 μg/L.For real water samples,the average spiked recoveries of the seven HAAs ranged from 90.9%to 107.7%,with relative standard deviation(RSDs)between 1.55%and 6.49%,and the HAAs contents in all tested samples were below the limits specified in the Standards for Drinking Water Quality(GB 5749-2022)of China.This method was featured with simple operation,fast analysis speed,high sensitivity,and good accuracy,providing an efficient and reliable technical support for routine monitoring of HAAs contaminants in drinking water and showing promising application value for widespread promotion.

Due to the poor ionization efficiency and the weak mass spectrometry(MS)intensity of weakly polar substances,direct analysis using the traditional electrospray ionization mass spectrometry(ESI-MS)is a big challenge.In this study,a novel rapid on-site detection method of four prohibited sex hormones in cosmetics was proposed using online derivatization strategy coupled with a miniature mass spectrometer.The target substances in the samples were extracted by a custom-made polyaniline/multi-walled carbon nanotube solid-phase microextraction(SPME)probe.The stirring speed was 200 r/min,the extraction temperature was 40℃,and the extraction time was 2 min.A pulled dual-channel θ borosilicate glass capillary emitter was used as the nano-ESI ion source.The SPME probe was inserted into the channel containing methanol in theθborosilicate glass capillary.When the spray voltage was applied,the four sex hormones were desorbed and formed spray microdroplets,which then collided with the hydroxylamine microdroplets generated from the other channel.The microdroplets of reaction product entered into the miniature mass spectrometer for direct analysis.The limits of detection(LOD)and limits of quantification(LOQ)for the four sex hormones were 10-20 ng/mL and 20-50 ng/mL,respectively.The recoveries were from 84.6%to 107.8%with the relative standard deviations(RSD)from 4.1%to 11.6%.Compared to detection without derivatization,the MS signals of the four target substances were increased by 3 to 15 times.This method was simple,rapid,highly efficient and sensitive,and suitable for on-site rapid analysis of weakly polar sex hormones in cosmetics.

Objective:This study aims to systematically review the current evaluation paradigms of conversational AI in healthcare and provide insights to facilitate the development of a comprehensive evaluation framework and methodological advancements in this field.Methods:A systematic review was conducted by searching the PubMed and Web of Science databases to analyze the existing evaluation paradigms of healthcare conversational AI,including evaluation subjects,assessment metrics,and evaluation methodologies.Results:A total of 60 studies were included in this review.The findings indicate that most evaluation subjects focus on general-purpose large language models.The assessment metrics cover five key dimensions:technical performance,information quality,clinical effectiveness,user experience,and ethics and safety.However,there were significant differences in the evaluation criteria used in existing studies.There were also issues such as a low degree of alignment between the evaluation questions and the application scenarios,as well as a lack of diversity in the roles of the evaluators.Conclusions:The current evaluation framework for healthcare conversational AI remains underdeveloped.Future improvements should focus on broadening model coverage,enhancing the comprehensiveness of evaluation indicators,standardizing evaluation methods,improving the operationalizability of test content,and expanding the scalability of evaluation languages.

Objective:To analyze the development trend of medical institution bed allocation in OECD countries and provide insights for optimizing bed resources allocation in China.Methods:Data on indicators of bed allocation and related factors from 1991 to 2022 were collected from the OECD online database.Bed allocation impact dimensions were identified based on health needs and demand theories.The random effect model and correlation analysis were used to explore influencing pathways of bed allocation.Results:The number of beds per 1 000 population and average life expectancy showed a significant positive correlation in countries below the average bed level,while an inverse trend was observed in countries above the average level.The number of long-term care beds per 1000 population showed positive correlation with average life expectancy.Multidimensional factors such as the disease spectrum and bed utilization efficiency were significant correlated with the bed allocation levels.The greater the gap in inpatient and outpatient reimbursement rations,the higher the demand for hospitalization among patients with chronic disease.Conclusions:An optimal number of beds is essential for achieving higher health outcomes.The bed classification planning system should be designed to adapt to demographic changes and strengthen the medical security support system.

Objective:To evaluate the impact of postoperative radiotherapy (RT) and associated risk factors on the prognosis of patients undergoing postmastectomy breast reconstruction (PMBR) for breast cancer.Methods:A retrospective analysis was conducted on 1593 breast cancer patients who underwent PMBR at Tianjin Medical University Cancer Institute & Hospital between January 2010 and October 2023. Patients were divided into an RT group ( n = 351) and a non-RT group ( n =1242) based on whether postoperative radiotherapy was administered. The primary endpoints were overall survival (OS) and progression-free survival (PFS), and the secondary endpoint was the incidence of revision surgery. Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were used for pairing. Continuous variables were compared between the two groups using the independent samples t-tests, while categorical variables were compared using chi-square tests, and survival analysis was performed using the Kaplan-Meier method. Cox proportional hazards model was used to analyze survival influencing factors, and include propensity factors with P<0.2 in univariate analysis into multivariate analysis. Results:In the RT group, there were 3 deaths (0.9%) and 21 cases of disease progression (6.0%); in the non-RT group, 7 patients died (0.56%) and 40 experienced disease progression (3.22%). The median OS was 20.1 months (range: 0.1-164.9), and the median PFS was 19.5 months (range: 0.1-160.9). Pregnancy-associated breast cancer and higher N stage were identified as significant risk factors for OS, while neoadjuvant therapy, absence of adjuvant chemotherapy or endocrine therapy, and higher T stage were significant risk factors affecting patients' PFS. Radiotherapy significantly reduced the survival risk for PMBR patients with pregnancy-associated breast cancer or those receiving neoadjuvant therapy ( P=0.019, 0.027). Compared with other reconstruction methods, implant-based reconstruction was associated with a lower incidence of postmastectomy revision surgery(10.5% vs. 17.0%, P<0.001). Even after radiotherapy, the revision surgery incidence for implant-based reconstruction remained lower than that of other methods (12.2% vs. 14.2%, P=0.591). Compared with other reconstruction types, expander-based reconstruction was associated with an increased incidence of revision surgery (31.9% vs. 10.9%, P<0.001). Conclusions:Postmastectomy radiotherapy can reduce survival risk in PMBR patients with pregnancy-associated breast cancer or who received neoadjuvant therapy, showing positive effects on OS and PFS in high-risk patients. Pregnancy, higher T/N stage, and specific treatment strategies are critical factors influencing the prognosis of PMBR patients. Implant-based reconstruction is associated with a lower incidence of revision surgery, which remains low even after RT, whereas expander-based reconstruction may increase the long-term risk of revision surgery.

Objective To explore the application effect of ultrasound-assisted localization in spinal anesthesia for elderly patients with hip fractures.Methods A total of 114 elderly patients undergoing hip fracture surgery with spinal anesthesia in our hospital from September 2022 to June 2024 were enrolled.The random number table method was applied to allocate participants into two groups:surface anatomical landmark localization group and ultrasound-assisted localization group,with 57 patients in each group.Both groups of patients underwent spinal anesthesia via the paramedian approach for puncture.The first-attempt puncture success rate,success rate of the initial puncture site,number of skin punctures,number of adjusted epidural needle direction,positioning time of the puncture point,puncture time(puncture success time,anesthesia time,and total time),adverse events during the puncture process(nerve hypersensitivity and accidental puncture of the dura mater),spinal anesthesia related complications(back pain,headache,and nerve injury),patient satisfaction and hospital stay were observed and compared between the two groups.The quality of early postoperative recovery was evaluated by using the 15-Item Quality of Recovery(QOR-15)scale at 24 h after surgery.Results The first-attempt puncture success rate in the ultrasound-assisted localization group was 71.9％(41/57),which was significantly higher than that in the surface anatomical landmark localization group[28.1％(16/57),x2=21.930,P=0.000].The success rate of the initial puncture site in the ultrasound-assisted localization group was 87.7％(50/57),which was significantly higher than that in the surface anatomical landmark localization group[54.4％(31/57),x2=15.396,P=0.000].The number of skin punctures and adjusted epidural needle direction in the ultrasound-assisted localization group were 1(1,1)and 0(0,1)times,while in the surface anatomical landmark localization group were 2(1,3)and 3(0,5)times,with statistically significant differences(all P=0.000).The puncture positioning time in the ultrasound-assisted localization group was 2.2(1.7,3.2)min,which was significantly longer than that in the surface anatomical landmark localization group[0.8(0.5,1.2)min,Z=-8.418,P=0.000].The puncture success time,anesthesia time,and total time of the ultrasound-assisted localization group were 1.9(1.7,2.3),4.9(4.3,5.3),and 7.1(6.3,8.7)min,while of the surface anatomical landmark localization group were 5.1(2.3,8.0),7.9(5.7,11.0),and 8.6(6.6,12.0)min,with statistically significant differences(all P＜0.05).There were no statistically significant differences in the incidence of nerve hypersensitivity during operation(3.5％vs.7.0％,x2=0.176,P=0.675),accidental puncture of the dura mater by epidural needles(0％vs.3.5％,P=0.496),postoperative headache(0％vs.3.5％,P=0.496),and back pain(1.8％vs.10.5％,x2=2.435,P=0.119)between the two groups.Both groups of patients showed no symptoms of nerve injury after surgery.There were no statistically significant differences in QOR-15 scores at 24 h postoperatively[119(115,124)points vs.116(112,121)points,Z=-1.858,P=0.063]and length of hospital stay[10.0(9.0,12.5)dvs.10.0(8.0,13.0)d,Z=-0.043,P=0.966]between the two groups.The satisfaction of patients in the ultrasound-assisted localization group was significantly higher than that in the surface anatomical landmark localization group(P=0.004).Conclusion Application of ultrasound-guided localization in spinal anesthesia for elderly patients with hip fractures significantly improves the first-attempt puncture and initial puncture site success rates,reduces skin puncture attempts and adjustments of the epidural needle direction,shortens time of anesthetic procedure,and enhances patient satisfaction,making it highly recommendable for clinical use.

Objective:This study aims to systematically review the current evaluation paradigms of conversational AI in healthcare and provide insights to facilitate the development of a comprehensive evaluation framework and methodological advancements in this field.Methods:A systematic review was conducted by searching the PubMed and Web of Science databases to analyze the existing evaluation paradigms of healthcare conversational AI,including evaluation subjects,assessment metrics,and evaluation methodologies.Results:A total of 60 studies were included in this review.The findings indicate that most evaluation subjects focus on general-purpose large language models.The assessment metrics cover five key dimensions:technical performance,information quality,clinical effectiveness,user experience,and ethics and safety.However,there were significant differences in the evaluation criteria used in existing studies.There were also issues such as a low degree of alignment between the evaluation questions and the application scenarios,as well as a lack of diversity in the roles of the evaluators.Conclusions:The current evaluation framework for healthcare conversational AI remains underdeveloped.Future improvements should focus on broadening model coverage,enhancing the comprehensiveness of evaluation indicators,standardizing evaluation methods,improving the operationalizability of test content,and expanding the scalability of evaluation languages.

Objective To explore the application effect of ultrasound-assisted localization in spinal anesthesia for elderly patients with hip fractures.Methods A total of 114 elderly patients undergoing hip fracture surgery with spinal anesthesia in our hospital from September 2022 to June 2024 were enrolled.The random number table method was applied to allocate participants into two groups:surface anatomical landmark localization group and ultrasound-assisted localization group,with 57 patients in each group.Both groups of patients underwent spinal anesthesia via the paramedian approach for puncture.The first-attempt puncture success rate,success rate of the initial puncture site,number of skin punctures,number of adjusted epidural needle direction,positioning time of the puncture point,puncture time(puncture success time,anesthesia time,and total time),adverse events during the puncture process(nerve hypersensitivity and accidental puncture of the dura mater),spinal anesthesia related complications(back pain,headache,and nerve injury),patient satisfaction and hospital stay were observed and compared between the two groups.The quality of early postoperative recovery was evaluated by using the 15-Item Quality of Recovery(QOR-15)scale at 24 h after surgery.Results The first-attempt puncture success rate in the ultrasound-assisted localization group was 71.9％(41/57),which was significantly higher than that in the surface anatomical landmark localization group[28.1％(16/57),x2=21.930,P=0.000].The success rate of the initial puncture site in the ultrasound-assisted localization group was 87.7％(50/57),which was significantly higher than that in the surface anatomical landmark localization group[54.4％(31/57),x2=15.396,P=0.000].The number of skin punctures and adjusted epidural needle direction in the ultrasound-assisted localization group were 1(1,1)and 0(0,1)times,while in the surface anatomical landmark localization group were 2(1,3)and 3(0,5)times,with statistically significant differences(all P=0.000).The puncture positioning time in the ultrasound-assisted localization group was 2.2(1.7,3.2)min,which was significantly longer than that in the surface anatomical landmark localization group[0.8(0.5,1.2)min,Z=-8.418,P=0.000].The puncture success time,anesthesia time,and total time of the ultrasound-assisted localization group were 1.9(1.7,2.3),4.9(4.3,5.3),and 7.1(6.3,8.7)min,while of the surface anatomical landmark localization group were 5.1(2.3,8.0),7.9(5.7,11.0),and 8.6(6.6,12.0)min,with statistically significant differences(all P＜0.05).There were no statistically significant differences in the incidence of nerve hypersensitivity during operation(3.5％vs.7.0％,x2=0.176,P=0.675),accidental puncture of the dura mater by epidural needles(0％vs.3.5％,P=0.496),postoperative headache(0％vs.3.5％,P=0.496),and back pain(1.8％vs.10.5％,x2=2.435,P=0.119)between the two groups.Both groups of patients showed no symptoms of nerve injury after surgery.There were no statistically significant differences in QOR-15 scores at 24 h postoperatively[119(115,124)points vs.116(112,121)points,Z=-1.858,P=0.063]and length of hospital stay[10.0(9.0,12.5)dvs.10.0(8.0,13.0)d,Z=-0.043,P=0.966]between the two groups.The satisfaction of patients in the ultrasound-assisted localization group was significantly higher than that in the surface anatomical landmark localization group(P=0.004).Conclusion Application of ultrasound-guided localization in spinal anesthesia for elderly patients with hip fractures significantly improves the first-attempt puncture and initial puncture site success rates,reduces skin puncture attempts and adjustments of the epidural needle direction,shortens time of anesthetic procedure,and enhances patient satisfaction,making it highly recommendable for clinical use.

OBJECTIVES: To explore the risk factors of feeding intolerance (FI) in critically ill children receiving enteral nutrition (EN) and to construct a prediction nomogram model for FI. METHODS: A retrospective study was conducted to collect data from critically ill children admitted to the Pediatric Intensive Care Unit of Xiangya Hospital, Central South University, between January 2015 and October 2020. The children were randomly divided into a training set (346 cases) and a validation set (147 cases). The training set was further divided into a tolerance group (216 cases) and an intolerance group (130 cases). Multivariate logistic regression analysis was used to screen for risk factors for FI in critically ill children receiving EN. A nomogram was constructed using R language, which was then validated on the validation set. The model's discrimination, calibration, and clinical net benefit were evaluated using receiver operating characteristic curves, calibration curves, and decision curves. RESULTS: Duration of bed rest, shock, gastrointestinal decompression, use of non-steroidal anti-inflammatory drugs, and combined parenteral nutrition were identified as independent risk factors for FI in critically ill children receiving EN (P<0.05). Based on these factors, a nomogram prediction model for FI in critically ill children receiving EN was developed. The area under the receiver operating characteristic curve for the training set and validation set was 0.934 (95%CI: 0.906-0.963) and 0.852 (95%CI: 0.787-0.917), respectively, indicating good discrimination of the model. The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good fit (χ 2=12.559, P=0.128). Calibration curve and decision curve analyses suggested that the model has high predictive efficacy and clinical application value. CONCLUSIONS Duration of bed rest, shock, gastrointestinal decompression, use of non-steroidal anti-inflammatory drugs, and combined parenteral nutrition are independent risk factors for FI in critically ill children receiving EN. The nomogram model developed based on these factors exhibits high predictive efficacy and clinical application value.
Humans ; Critical Illness ; Enteral Nutrition/adverse effects* ; Male ; Risk Factors ; Female ; Child, Preschool ; Infant ; Nomograms ; Retrospective Studies ; Child ; Logistic Models