Accurate pain assessment is a prerequisite for pain management.However,pain is a relatively subjective feeling greatly affected by the environment,education,and emotional state.Therefore,in diagnosing and treating pain,it is necessary not only to assess the subjective feelings of patients,but also to have stable and reliable objective indicators to evaluate the pain status of different patients.At present,there are many clinical tools for assessing and monitoring pain.This paper introduces the commonly used subjective assessment tools(single-dimensional pain assessment scale,multi-dimensional pain assessment scale)and objective assessment tools(surgical pleth index,analgesia and nociception index,nociceptive level index,and biomarkers),and analyzes their advantages and disadvantages,so as to provide reference for future clinical pain assessment.

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 cut-off 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.

Lumbar disc (LD) herniation and aging are prevalent conditions that can result in substantial morbidity. This study aimed to clarify the mechanisms connecting the LD aging and herniation, particularly focusing on cellular senescence and molecular alterations in the nucleus pulposus (NP). We performed a detailed analysis of NP samples from a diverse cohort, including individuals of varying ages and those with diagnosed LD herniation. Our methodology combined histological assessments with single-nucleus RNA sequencing to identify phenotypic and molecular changes related to NP aging and herniation. We discovered that cellular senescence and a decrease in nucleus pulposus progenitor cells (NPPCs) are central to both processes. Additionally, we found an age-related increase in NFAT1 expression that promotes NPPC senescence and contributes to both aging and herniation of LD. This research offers fresh insights into LD aging and its associated pathologies, potentially guiding the development of new therapeutic strategies to target the root causes of LD herniation and aging.
Intervertebral Disc Displacement/metabolism* ; Humans ; Aging/pathology* ; Nucleus Pulposus/pathology* ; Male ; Female ; Transcriptome ; Middle Aged ; Lumbar Vertebrae/pathology* ; Adult ; Cellular Senescence ; Stem Cells/pathology* ; Aged ; Intervertebral Disc Degeneration/metabolism*

Salmonella,an important foodborne pathogen,is responsible for numerous diseases in both humans and animals.We conducted a genome-wide analysis of Salmonella isolates from diarrheal and foodborne infection cases in Gansu Province between 2021 and 2023.A total of 163 Salmonella strains were collected and subjected to biochemical identification,followed by serological typing,whole-genome sequencing,and bioinformatics characterization.The results revealed 27 distinct serotypes,among which Sal-monella typhimurium variant(S.4,[5],12∶1∶-),Salmonella enteritidis,and Salmonella enterica London were predominant.Notably,the serotype distribution exhibited significant variation across sample sources.Multilocus sequence typing(MLST)classified the iso-lates into 27 sequence types(STs),among which ST34,ST11,ST155,and ST19 had the highest prevalence.The MLST profiles dem-onstrated strong concordance with serological classifications.For Salmonella,we detected a total of 17 673 virulence genes in 374 cat-egories,carrying multiple virulence islands.Some strains carried virulence plasmid genes,among which 45 strains of Salmonella enter-itidis had higher types and numbers of virulence factors detected than other serotypes of Salmonella.Antimicrobial resistance profiling identified 69 resistance genes conferring resistance to 13 classes of antimicrobial agents,and multidrug resistance patterns were preva-lent among isolates.Plasmid characterization revealed 35 plasmid types,some containing antimicrobial resistance determinants.Addi-tionally,three disinfectant resistance genes were identified.This study highlights the extensive diversity of Salmonella serotypes and STs in Gansu Province and the complex repertoire of virulence and resistance genes.The emergence of disinfectant resistance genes un-derscores challenges in conventional disinfection protocols.These findings provide critical insights for refining Salmonella surveillance and control strategies in public health and food safety contexts.

Objective To investigate the nebulization characteristics of human interferon α1b for injection.To characterize and compare the delivery rate,total drug substance and the aerodynamic characteristics between the two types of nebulizer.Methods Connect two types of nebulizers with a breathing simulator,respectively,and simulate the breathing patterns of an infant and child.Measure the delivery rate,total delivered dose,and delivery uniformity.The aerodynamic properties of human interferon α1b for injection were evaluated by the next generation impactor(NGI).The content of human interferon α1b was quantified by double antibody sandwich ELISA.Results In the three batches of samples in infant mode,the delivery rate and total delivered dose determind by A nebulizer were 0.45,0.49,0.44 μg·min-1,3.06,3.21,3.81 μg,respectcively;and 0.12,0.14,0.16 μg·min-1,0.73,0.73,0.75 μg,respectcively by B nebulizer.In child mode,the delivery rate and total delivered doses determined by A nebulizer were 1.36,1.49,1.20 μg·min-1,7.44,7.17,and 6.54 μg,respectcively;and 0.37,0.36,0.43 μg·min-1,1.66,1.59,and 1.41 μg,respectcively by B nebulizer.In child and infant mode,the ten results of the total drug substance delivered determined by nebulizer A were both between 65%to 135%of the average.The FPD,FPF,MMAD,and GSD determined by A neublizer of three batch samples were 2.48,2.92,2.35 μg,59.0%,57.4%,59.1%,4.18,4.34,4.15 μm,1.94,1.98,2.01,respectively.The FPD,FPF,MMAD and GSD determined by B neublizer of three batches samples were 2.70,3.38,3.06 μg,67.6%,66.4%,66.3%,3.55,3.65,3.68 μm,2.03,2.04,2.06,respectively.Conclusions The data obtained in this research characterized the in vitro nebulization characteristics of human interferon α1b for injection and provided a theoretical basis and reference for in vitro study and clinical practice.The influence of different types of nebulizers on nebulization characteristics was evaluated as well.It is suggested that the quality standard of nebulizers be strictly formulated and the use of nebulizers be standardized.

Objective:To analyze the factors associated with long-term survival after radical resection of hepatitis B virus(HBV)-associated hepatocellular carcinoma(HCC),and to construct random forest and Cox regression models,to evaluate the two models.Methods:A total of 368 patients with HBV-infected HCC who underwent radical resection were selected retrospectively.These patients were categorized as having a good prognosis(n=266)or a poor prognosis(n=102)based on their survival and mortality status.Univariate and Cox regression analysis were used to identify fac-tors that predict poor prognosis in HCC patients after surgery,and Cox regression and random forest prediction models were constructed and evaluated.Results:There were significant differences in smoking history,Child-Pugh classifica-tion,cirrhosis,microvascular invasion,TNM staging,tumor capsule integrity,platelet-to-lymphocyte ratio(PLR),regular antiviral therapy,HBV-DNA load,alpha-fetoprotein(AFP),neutrophil-to-lymphocyte ratio(NLR),systemic immune in-flammatory index(SII),and albumin-to-globulin ratio(AGR)between the two groups(P<0.05);Cox regression showed that cirrhosis,microvascular invasion,regular antiviral treatment,HBV-DNA load,NLR,PLR,SII,and AGR were related factors that negatively affected the prognosis of patients with HBV-infected HCC after surgery(P<0.05),with an AUC of 0.870 for predicting prognosis;the importance ranking obtained by the random forest model was HBV-DNA load,cirrho-sis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII,with an AUC of 0.926 for predicting prog-nosis;the AUC predicted by the random forest model was greater than that predicted by the Cox regression model(Z=2.411,P=0.016).Conclusion:HBV-DNA load,cirrhosis,regular antiviral therapy,microvascular invasion,NLR,PLR,AGR,and SII are factors that affect the poor prognosis of patients with HBV-related HCC after surgery.The random for-est prediction model constructed based on these factors has high predictive value and is superior to the Cox regression prediction model.

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Salmonella,an important foodborne pathogen,is responsible for numerous diseases in both humans and animals.We conducted a genome-wide analysis of Salmonella isolates from diarrheal and foodborne infection cases in Gansu Province between 2021 and 2023.A total of 163 Salmonella strains were collected and subjected to biochemical identification,followed by serological typing,whole-genome sequencing,and bioinformatics characterization.The results revealed 27 distinct serotypes,among which Sal-monella typhimurium variant(S.4,[5],12∶1∶-),Salmonella enteritidis,and Salmonella enterica London were predominant.Notably,the serotype distribution exhibited significant variation across sample sources.Multilocus sequence typing(MLST)classified the iso-lates into 27 sequence types(STs),among which ST34,ST11,ST155,and ST19 had the highest prevalence.The MLST profiles dem-onstrated strong concordance with serological classifications.For Salmonella,we detected a total of 17 673 virulence genes in 374 cat-egories,carrying multiple virulence islands.Some strains carried virulence plasmid genes,among which 45 strains of Salmonella enter-itidis had higher types and numbers of virulence factors detected than other serotypes of Salmonella.Antimicrobial resistance profiling identified 69 resistance genes conferring resistance to 13 classes of antimicrobial agents,and multidrug resistance patterns were preva-lent among isolates.Plasmid characterization revealed 35 plasmid types,some containing antimicrobial resistance determinants.Addi-tionally,three disinfectant resistance genes were identified.This study highlights the extensive diversity of Salmonella serotypes and STs in Gansu Province and the complex repertoire of virulence and resistance genes.The emergence of disinfectant resistance genes un-derscores challenges in conventional disinfection protocols.These findings provide critical insights for refining Salmonella surveillance and control strategies in public health and food safety contexts.

Objective To investigate the nebulization characteristics of human interferon α1b for injection.To characterize and compare the delivery rate,total drug substance and the aerodynamic characteristics between the two types of nebulizer.Methods Connect two types of nebulizers with a breathing simulator,respectively,and simulate the breathing patterns of an infant and child.Measure the delivery rate,total delivered dose,and delivery uniformity.The aerodynamic properties of human interferon α1b for injection were evaluated by the next generation impactor(NGI).The content of human interferon α1b was quantified by double antibody sandwich ELISA.Results In the three batches of samples in infant mode,the delivery rate and total delivered dose determind by A nebulizer were 0.45,0.49,0.44 μg·min-1,3.06,3.21,3.81 μg,respectcively;and 0.12,0.14,0.16 μg·min-1,0.73,0.73,0.75 μg,respectcively by B nebulizer.In child mode,the delivery rate and total delivered doses determined by A nebulizer were 1.36,1.49,1.20 μg·min-1,7.44,7.17,and 6.54 μg,respectcively;and 0.37,0.36,0.43 μg·min-1,1.66,1.59,and 1.41 μg,respectcively by B nebulizer.In child and infant mode,the ten results of the total drug substance delivered determined by nebulizer A were both between 65%to 135%of the average.The FPD,FPF,MMAD,and GSD determined by A neublizer of three batch samples were 2.48,2.92,2.35 μg,59.0%,57.4%,59.1%,4.18,4.34,4.15 μm,1.94,1.98,2.01,respectively.The FPD,FPF,MMAD and GSD determined by B neublizer of three batches samples were 2.70,3.38,3.06 μg,67.6%,66.4%,66.3%,3.55,3.65,3.68 μm,2.03,2.04,2.06,respectively.Conclusions The data obtained in this research characterized the in vitro nebulization characteristics of human interferon α1b for injection and provided a theoretical basis and reference for in vitro study and clinical practice.The influence of different types of nebulizers on nebulization characteristics was evaluated as well.It is suggested that the quality standard of nebulizers be strictly formulated and the use of nebulizers be standardized.