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.

Amid the global wave of digital economy, China's medical artificial intelligence applications are rapidly advancing through technological innovation and policy support, while facing multifaceted evaluation and regulatory challenges. The dynamic algorithm evolution undermines the consistency of assessment criteria, multimodal systems lack unified evaluation metrics, and conflicts persist between data sharing and privacy protection. To address these issues, the China National Health Development Research Center has established a value assessment framework for artificial intelligence medical technologies, formulated the country's first technical guideline for clinical evaluation, and validated their practicality through scenario-based pilot studies. Furthermore, this paper proposes introducing a "regulatory sandbox" model to test technical compliance in controlled environments, thereby balancing innovation incentives with risk governance.
Artificial Intelligence/legislation & jurisprudence* ; China ; Humans ; Algorithms

ObjectiveTo evaluate the methodological quality and reporting quality of published guidelines/consensuses on traditional Chinese medicine （TCM）/integrated traditional Chinese and Western medicine diagnosis and treatment of nonalcoholic fatty liver disease （NAFLD）， and to provide a basis for formulating guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD in the future. MethodsDatabases including PubMed， Embase， Web of Science， CNKI， Wanfang Data， and CBM and the websites of China Association of Chinese Medicine and China Association of Integrative Medicine were searched for related articles published up to September 1， 2024. Two clinical researchers independently assessed the methodological quality and reporting quality of the guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD by using Appraisal of Guidelines for Research and Evaluation Ⅱ （AGREE Ⅱ） and Reporting Items for Practice Guidelines in Healthcare （RIGHT）. ResultsA total of nine guidelines/consensuses were included after literature screening， with four guidelines and five expert consensuses. The scores of different domains assessed by AGREE Ⅱ for the nine guidelines/consensuses were as follows： scope and purpose （47.1%）， stakeholder involvement （41.0%）， rigor of development （21.6%）， clarity of presentation （40.2%）， applicability （19.0%）， and editorial independence （19.6%）. The recommendation level of the articles was B level （recommended after revision） for four articles and C level （not recommended） for five articles. The RIGHT assessment showed high reporting rates for “Basic Information” and “Background”， while other areas needed to be improved. Currently， there was no international standard for the guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD， and the quality of these guidelines/consensuses needed to be enhanced to ensure comprehensiveness and credibility. ConclusionThere is still potential for improving the quality of guidelines/consensuses on TCM/integrated traditional Chinese and Western medicine diagnosis and treatment of NAFLD， and AGREE Ⅱ and RIGHT checklists should be strictly followed to ensure the fairness， scientific rigor， and transparency of these guidelines/consensuses.

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

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 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 correlation between serum circularRNA-HOMER1(circHOMER1),microRNA(miR)-23a-3p levels with clinical stages and oxidative stress in patients with diabetic retinopathy(DR).Methods From January 2023 to July 2024,75 DR patients treated in Handan Central Hospital were included as the DR group.According to the clinical staging of DR,they were divided into non proliferative DR(NPDR group,n=43)and proliferative DR(PDR group,n=32).In addition,75 patients with simple type 2 diabetes who came to Handan Central Hospital were included as non DR group.The levels of serum circHOMER1,miR-23a-3p,malondialdehyde(MDA),superoxide dismutase(SOD),and reduced glutathione(GSH)were detect-ed.Clinical data of the subjects were collected.The TargetScan website was used to predict the targeting relationship between circHOMER1 and miR-23a-3p.Pearson method was used to analyze the correlation between serum circHOMER1,miR-23a-3p and MDA,SOD,GSH.Univariate and multivariate Logistic regression were used to analyze the influencing factors of progression of DR in type 2 diabetes patients.Receiver operating characteristic(ROC)carve was used to analyze the predictive value of serum circHOMER1 and miR-23a-3p in the progression of DR in patients with type 2 diabetes.Results There was a targeted relationship between circHOMER1 and miR-23a-3p.The serum MDA(28.66±4.52ng/ml)and circHOMER1(1.24±0.16)levels in the DR group were higher than those in the non DR group(16.95±3.27ng/ml,1.02±0.11),while SOD(45.39±7.84U/L),GSH(135.82±21.23μg/mL)and miR-23a-3p(0.88±0.07)levels were lower than those in the non DR group(81.65±11.47U/L,207.44±25.95μg/mL,1.01±0.09),and differences were statistically significant(t=9.813～22.602,all P<0.001).The serum MDA(33.28±4.96ng/ml)and circHOMER1(1.36±0.20)levels in the PDR group were higher than those in the NPDR group(25.23±3.58ng/ml,1.15±0.17),while SOD(34.39±7.15U/L),GSH(113.50±20.17μg/ml)and miR-23a-3p(0.79±0.07)levels were lower than those in the NPDR group(53.27±8.44U/L,152.43±23.99μg/ml,0.94±0.08),and the differences were statistically significant(t=4.906～10.376,all P<0.001).Spearman analysis showed that serum MDA and circHOMER1 were positively correlated with the severity of DR(r=0.533,0.473,all P<0.001),while SOD,GSH,miR-23a-3p were negatively correlated with the severity of DR(r=-0.552,-0.515,-0.529,all P<0.001).Pearson analysis showed that serum circHOMER1 was negatively correlated with miR-23a-3p,SOD,GSH,and positively correlated with MDA(r=-0.475,-0.460,-0.455,0.462,all P<0.001).Serum miR-23a-3p was positively correlated with SOD and GSH,and negatively correlated with MDA(r=0.428,0.437,-0.439,all P<0.001).Logistic regression analysis showed that high MDA,low SOD,low GSH,high circHOMER1,low miR-23a-3p,high FPG and high HbA1c were the risk factors of progression of DR in type 2 diabetes patients(OR=0.214～3.556,all P<0.05).The area under curve(AUC)of serum circHOMER1 and miR-23a-3p alone and jointhy predicting the progression of DR in type 2 diabetes patients were 0.751,0.797 and 0.903 respectively.The combined prediction was higher than that of serum circHOMER1 and miR-23a-3p alone(Z=3.179,2.335,P=0.002,0.020).Conclusion Serum MDA and circHOMER1 levels are higher in DR patients,while serum SOD,GSH and miR-23a-3p levels are lower.Abnormal expression of circHOMER1 and miR-23a-3p in serum is associated with progression of DR and oxidative stress.Combined detection of circHOMER1 and miR-23a-3p in serum can predict the progression of DR in patients with type 2 diabetes.

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.