Objective:To observe the clinical efficacy of acupuncture at the front-Mu points and the lower He-sea points combined with Western medication in the treatment of diarrhea induced by anti-tuberculosis drugs,as well as the effects on clinical symptoms and serum albumin.Methods:Seventy patients with diarrhea caused by anti-tuberculosis drugs were divided into an observation group and a control group according to the different treatment methods,with 35 cases in each group.Both groups were treated with the same Western medication,and the observation group was additionally treated with acupuncture at the front-Mu points and the lower He-sea points.After treatment,changes in the Hart score,traditional Chinese medicine(TCM)symptom score,and serum albumin were observed in both groups.Results:There was no statistically significant difference in the Hart score,TCM symptom score,and serum albumin level between the two groups before treatment(P>0.05).No adverse reactions occurred during treatment in either group.After 3 d of treatment,the total effective rate of the observation group was 68.6%,which was higher than 25.7%of the control group(P<0.01);after 7 d of treatment,the total effective rate of both the observation group and the control group was 100.0%,but the cured rate of the observation group was 80.0%,which was significantly higher than 2.9%of the control group(P<0.01).The Hart score and TCM symptom score of both groups after 3 d and 7 d of treatment were significantly lower than those before treatment(P<0.05),and the scores of the observation group were lower than those of the control group(P<0.05).After 7 d of treatment,the albumin level of the observation group was significantly higher than that of the control group(P<0.05).Conclusion:The addition of acupuncture at the front-Mu points combined with lower He-sea points to routine Western mediation treatment for diarrhea induced by anti-tuberculosis drugs is more effective than Western medication alone and can improve the clinical symptoms and nutritional status of the patients at an early stage.

OBJECTIVE To assess the current status of hospital-acquired infections and their economic burden in or-thopedic patients based on diagnosis-related groups(DRG).METHOD Based on the National Health Insurance dis-ease diagnosis-related groups,32 413 orthopedic patients from a tertiary care hospital in Beijing in 2021 were grouped,hospital-acquired infections were retrospectively analyzed,and the direct and indirect economic burdens of different DRG groups were assess using indictors such as hospitalization time and cost,bed turnover loss,and labor time loss.RESULTS A total of 32 413 patients were included,the incidence of hospital-acquired infection was 0.47％(153/32 413),the site of infection was predominantly the surgical site(57.99％),and hospital-acquired infections in the hematologic system had a greater impact on cost-consumption indices and time-consumption indi-ces.The infection cases were concentrated in 19.58％of the DRGs groups.The IF23 group(lower limb bone sur-gery with complications and comorbidities)had the highest direct economic burden(24 010 yuan/case)due to hos-pital-acquired infections,and the increase in the cost of consumables and medication was the main factor causing the direct economic burden.At both the hospital level and family-society level,the top three DRG groups in terms of indirect economic burden due to hospital-acquired infections were IB15,IB13 and IF23.CONCLUSION Hospital-acquired infections in orthopedic patients have a tendency to be concentrated,quantitatively assessment of their e-conomic burden based on DRGs not only illustrates the importance of hospital-acquired infection prevention and control,but also accurately identifies the disease groups that require focused management,providing an evidence-based basis for precise prevention and control of hospital-acquired infections.

Breast cancer is the main cause of death from cancer in women. Early diagnosis and treatment are very important to improve patient prognosis. As an important means of breast cancer screening, ultrasound plays a key role in the clinical diagnosis and treatment of cancer, but the accuracy of ultrasound diagnosis is greatly affected by subjective and objective, and it is easy to miss diagnosis and misdiagnosis. In recent years, with the development of big data and computer algorithms, the research and application of artificial intelligence (AI) technologies such as imaging omics and deep learning in the field of ultrasound have become increasingly extensive, making accurate and efficient imaging evaluation possible. This article mainly reviews the application status and clinical application potential of AI in ultrasound diagnosis of breast cancer.

Objective:To investigate the value of T helper 17 cells（Th17）/regulatory T cells（Treg）imbalance in the evaluation of intravenous immunoglobulin（IVIG）resistance in children with Kawasaki disease and Kobayashi score≤4.Methods:A total of 78 children with Kawasaki disease and Kobayashi score ≤ 4 admitted to Hunan Children's Hospital from January 2020 to December 2023 were prospectively selected as the study subjects，all of whom received IVIG treatment.In the acute phase，the proportion of Th17 cells and Treg cells was detected.Children were divided into IVIG sensitive group and IVIG resistance group based on their responsiveness to IVIG treatment.Baseline data of children with different IVIG treatment responsiveness，acute Th17 cell inflammatory factors [interleukin（IL）-17，IL-21，tumor necrosis factor-α（TNF-α）]，Treg cell inflammatory factors [IL-10，IL-35，transforming growth factor-β（TGF-β）] levels，and Th17/Treg values were compared.The correlation between Th17/Treg values and IVIG resistance in children with Kawasaki disease was analyzed using a restricted cubic spline model（RCS）.According to the threshold of correlation between Th17/Treg values obtained from RCS analysis and drug resistance in children，Th17/Treg was grouped，with a focus on analyzing the predictive value and clinical benefits of Th17/Treg values for IVIG resistance in children with Kawasaki disease.Results:Among the 78 children with Kawasaki disease，16 were resistant to IVIG treatment，accounting for 20.51%.The levels of C-reactive protein（CRP）,IL-17,and Th17/Treg in the acute phase of children in the IVIG resistance group were higher than those in the IVIG sensitive group，while the levels of IL-10 were lower than those in the IVIG sensitive group（ P<0.05）.RCS analysis showed that there was a non-linear dose-response relationship between IVIG resistance and acute Th17/Treg values in children with Kawasaki disease（ P<0.05）.When the acute Th17/Treg value was greater than 1.05，the risk of IVIG resistance in children with Kawasaki disease increased with the increase in indicator levels.The levels of CRP and IL-17 in the acute phase of children with Th17/Treg>1.05 were higher than those in the Th17/Treg < 1.05 group，while IL-10 levels were lower than those in the Th17/Treg<1.05 group.The proportion of children resistant to IVIG treatment was higher than that in the Th17/Treg<1.05 group（ P<0.05）.Multivariate Logistic regression analysis showed that CRP，IL-17，IL-10，and Th17/Treg were the influencing factors of IVIG resistance in children with Kawasaki disease（ P<0.05）.It was found through a nomogram that the C-index of the acute phase Th17/Treg values and their secretion of inflammatory factors in children with Kawasaki disease and Kobayashi score ≤ 4，as well as other major indicators，predicted the risk of IVIG resistance.The C-index was 0.975（95% CI 0.944-1.000），indicating good discrimination.When drawing the decision curve，it was found that compared to using each indicator separately，the Th17/Treg value and its secreted inflammatory factors in the acute phase assisted other major indicators in drawing the decision curve with a higher net benefit rate，with a maximum net benefit rate of 0.205. Conclusion:IVIG resistance in children with Kawasaki disease and Kobayashi score≤4 is related to Th17/Treg imbalance.When the Th17/Treg value in the acute phase of the disease is greater than 1.05，the risk of IVIG resistance is higher.The inflammatory factors IL-17 and IL-10 secreted by the two can assist other known indicators related to IVIG resistance in Kawasaki disease patients，improving the accuracy of predicting resistance risk.

Objective:To observe the clinical efficacy of acupuncture at the front-Mu points and the lower He-sea points combined with Western medication in the treatment of diarrhea induced by anti-tuberculosis drugs,as well as the effects on clinical symptoms and serum albumin.Methods:Seventy patients with diarrhea caused by anti-tuberculosis drugs were divided into an observation group and a control group according to the different treatment methods,with 35 cases in each group.Both groups were treated with the same Western medication,and the observation group was additionally treated with acupuncture at the front-Mu points and the lower He-sea points.After treatment,changes in the Hart score,traditional Chinese medicine(TCM)symptom score,and serum albumin were observed in both groups.Results:There was no statistically significant difference in the Hart score,TCM symptom score,and serum albumin level between the two groups before treatment(P>0.05).No adverse reactions occurred during treatment in either group.After 3 d of treatment,the total effective rate of the observation group was 68.6%,which was higher than 25.7%of the control group(P<0.01);after 7 d of treatment,the total effective rate of both the observation group and the control group was 100.0%,but the cured rate of the observation group was 80.0%,which was significantly higher than 2.9%of the control group(P<0.01).The Hart score and TCM symptom score of both groups after 3 d and 7 d of treatment were significantly lower than those before treatment(P<0.05),and the scores of the observation group were lower than those of the control group(P<0.05).After 7 d of treatment,the albumin level of the observation group was significantly higher than that of the control group(P<0.05).Conclusion:The addition of acupuncture at the front-Mu points combined with lower He-sea points to routine Western mediation treatment for diarrhea induced by anti-tuberculosis drugs is more effective than Western medication alone and can improve the clinical symptoms and nutritional status of the patients at an early stage.

OBJECTIVE To assess the current status of hospital-acquired infections and their economic burden in or-thopedic patients based on diagnosis-related groups(DRG).METHOD Based on the National Health Insurance dis-ease diagnosis-related groups,32 413 orthopedic patients from a tertiary care hospital in Beijing in 2021 were grouped,hospital-acquired infections were retrospectively analyzed,and the direct and indirect economic burdens of different DRG groups were assess using indictors such as hospitalization time and cost,bed turnover loss,and labor time loss.RESULTS A total of 32 413 patients were included,the incidence of hospital-acquired infection was 0.47％(153/32 413),the site of infection was predominantly the surgical site(57.99％),and hospital-acquired infections in the hematologic system had a greater impact on cost-consumption indices and time-consumption indi-ces.The infection cases were concentrated in 19.58％of the DRGs groups.The IF23 group(lower limb bone sur-gery with complications and comorbidities)had the highest direct economic burden(24 010 yuan/case)due to hos-pital-acquired infections,and the increase in the cost of consumables and medication was the main factor causing the direct economic burden.At both the hospital level and family-society level,the top three DRG groups in terms of indirect economic burden due to hospital-acquired infections were IB15,IB13 and IF23.CONCLUSION Hospital-acquired infections in orthopedic patients have a tendency to be concentrated,quantitatively assessment of their e-conomic burden based on DRGs not only illustrates the importance of hospital-acquired infection prevention and control,but also accurately identifies the disease groups that require focused management,providing an evidence-based basis for precise prevention and control of hospital-acquired infections.

Breast cancer is the main cause of death from cancer in women. Early diagnosis and treatment are very important to improve patient prognosis. As an important means of breast cancer screening, ultrasound plays a key role in the clinical diagnosis and treatment of cancer, but the accuracy of ultrasound diagnosis is greatly affected by subjective and objective, and it is easy to miss diagnosis and misdiagnosis. In recent years, with the development of big data and computer algorithms, the research and application of artificial intelligence (AI) technologies such as imaging omics and deep learning in the field of ultrasound have become increasingly extensive, making accurate and efficient imaging evaluation possible. This article mainly reviews the application status and clinical application potential of AI in ultrasound diagnosis of breast cancer.

ObjectiveTo investigate the effect of Gelian Tiaotang pills on renal fibrosis in db/db mice based on the nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 （NLRP3）/cysteinyl aspartate-specific proteinase （Caspase）-1/gasdermin D （GSDMD） signaling pathway. MethodsForty db/db mice were randomly assigned into model， positive control （0.001 3 g·kg·d^-1 dapagliflozin suspension）， and high-， medium-， and low-dose Gelian Tiaotang pills （3.12， 1.56， and 0.78 g·kg·d^-1 suspension of Gelian Tiaotang pills， respectively） groups， with 8 mice in each group. Eight db/m mice were selected as the normal group. The normal group and model group were given equal volumes of pure water， while the drug interventions groups were administrated with corresponding agents by gavage once a day for 12 consecutive weeks. The general conditions of mice were observed daily. The fasting blood glucose （FBG） and body mass were measured every 4 weeks. Kidneys were weighed after sampling， and the kidney index was calculated. An automatic biochemical analyzer was used to measure the serum levels of triglyceride （TG）， total cholesterol （TC）， serum creatinine （SCr）， and blood urea nitrogen （BUN）. The pathological changes， extracellular matrix deposition， and renal fibrosis degree were examined by hematoxylin-eosin， periodic acid-schiff （PAS）， and Masson staining， respectively. Enzyme-linked immunosorbent assay was employed to measure the levels of interleukin （IL）-1β and IL-18 in the renal tissue. Immunohistochemistry （IHC） was used to detect the localization and expression of fibronectin and collagen Ⅰ in the renal tissue. Western blot was employed to determine the protein levels of NLRP3， Caspase-1， cleaved Caspase-1， GSDMD， and GSDMD-N in the renal tissue. ResultsCompared with the normal group， the model group generally had poor general states and increases in the body mass， kidney weight， kidney index， and levels of FBG， TG， TC， SCr， and BUN （P<0.01）. In addition， glomerular pyknosis， increased matrix， vacuolar degeneration of renal tubular epithelial cells， and interstitial infiltration of inflammatory cells were observed in the model group （P<0.01）， together with rises in the levels of IL-1β and IL-18 in the renal tissue （P<0.01） and up-regulated protein levels of NLRP3， Caspase-1， cleaved Caspase-1， GSDMD， GSDMD-N， fibronectin， and collagen Ⅰ in the renal tissue （P<0.01）. Compared with the model group， 12 weeks of drug interventions reduced the body mass， kidney weight， and kidney index and lowered the levels of FBG， TG， TC， SCr， and BUN in the serum and IL-1β and IL-18 in the renal tissue （P<0.05， P<0.01）. Furthermore， drug interventions ameliorated the renal lesions and down-regulated the protein levels of NLRP3， Caspase-1， cleaved Caspase-1， GSDMD， GSDMD-N， fibronectin， and collagen Ⅰ in the renal tissue （P<0.05， P<0.01）. The high-dose group of Gelian Tiaotang pills had the best effects. ConclusionGelian Tiaotang pills may inhibit pyroptosis and reduce inflammatory responses by regulating the NLRP3/Caspase-1/GSDMD signaling pathway， thus delaying the process of renal fibrosis in diabetes.

[Objective] To evaluate the risk of bacterial contamination of platelets apheresis and improve the clinical diagnosis rate of transfusion-transmitted bacterial infections. [Methods] A retrospective analysis was conducted on 11 cases involving bacterial contamination detected in apheresis platelets during quality inspections at our center from 2021 to 2023, as well as cases of transfusion-transmitted bacterial infection (TTBI) caused by platelet transfusion. The return of positive platelet bacteria test results and clinical transfusion adverse reactions were statistically analyzed. [Results] There were 9 donors with bacteria-contaminated platelets, of which 3 were reported as clinical transfusion reaction, 4 were detected by quality sampling, and 2 were identified by appearance detection before transfusion. The bacterial contamination rate of platelets was about 0.08% (9/10 762). The contaminated platelets were involved in 11 cases of TTBI, with an incidence of TTBI of approximately 0.05% (11/21 916). Only 3 cases of transfusion reactions were clinically reported, while the rest were case tracking with positive results of platelet bacterial test from quality sampling. The clinical return rate of TTBI was 27.27% (3/11), with an average reporting time of 8.12 hours after the occurrence of transfusion reactions. The majority of the contaminated platelets were detected at the end stage of storage, with 55.56% (5/9) of platelets collected on the 4th day after collection. Partial contaminated platelets were identified through quality sampling, with a positive rate of 2.78% (4/144). [Conclusion] The platelet bacterial contamination rate is high, but with low clinical return rate. It is recommended to conduct routine platelet bacterial monitoring and improve clinical diagnostic level.

Objective: To discover molecular markers associated with lung adenocarcinoma diagnosis/prognosis and drug resistance through screening of differentially expressed genes based on published chip data in gene expression databases using bioinformatics methods. Methods: Comprehensive analysis was performed in available mRNA microarray datasets including lung adenocarcinoma tissues dataset GSE32863 and lung adenocarcinoma taxane-platin resistance dataset GSE77209 from the gene expression omnibus(GEO) database. Gene ontology enrichment analysis, gene pathway enrichment analysis and protein interaction network analysis were performed based on significantly correlated genes. The expression level of genes was validated in the cancer genome atlas(TCGA) dataset. Survival differences were assessed by the log-rank test in TCGA lung adenocarcinoma dataset. Based on the publications genomics of drug sensitivity in cancer(GDSC) database in CellMiner cross database(CellMiner CDB), Pearson correlation analysis was used to analyze the correlation between differentially expressed genes and the half-maximal inhibitory concentration(IC50) of anticancer drugs. Results : There were a total of 77 genes which had a different expression in resistance lung adenocarcinoma cells and lung adenocarcinoma cancer tissues. The functional enrichment analysis showed that these co-different expression genes were mainly enriched in microtubule, extracellular exosome, cell cycle and signaling by nuclear receptors. Protein-protein interactions(PPI) network screened 6 most connected genes as molecular complex(MCODE). Among the MCODE, overexpressed ubiquitin conjugating enzyme E2 T(UBE2T), kinesin family member 20A(KIF20A), PCNA clamp associated factor(KIAA0101), pituitary tumor-transforming gene 1(PTTG1) and NIMA related kinase 2(NEK2) were associated with poor outcomes. Survival analysis results showed that these five genes were upregulated in lung adenocarcinoma tissues and drug-resistant cells and were significantly associated with poor prognosis in lung adenocarcinoma patients. Drug sensitivity analysis results suggested that high expression of PTTG1 and UBE2T was significantly associated with sensitivity to multiple anticancer drugs, including paclitaxel and docetaxel. RT-PCR validation showed that PTTG1 andUBE2T were highly expressed in docetaxel-resistant cells A549-TXR and H358-TXR. Conclusion PTTG1 andUBE2T holds the potential to be chemoresistance markers in lung adenocarcinoma.