Objective To discuss the main pathological types and imaging characteristics of pulmonary nodules that are highly suspected to be malignant in clinical practice but are pathologically confirmed to be benign. Methods A retrospective analysis was performed on the clinical data of patients with pulmonary nodules who were initially highly suspected of malignancy but were subsequently pathologically confirmed to be benign. These patients were treated at the First Affiliated Hospital of Xiamen University from December 2020 to April 2023. Based on the outcomes of preoperative discussions, the patients were categorized into a benign group and a suspicious malignancy group. The clinical data and imaging characteristics of both groups were compared. Results A total of 232 patients were included in the study, comprising 112 males and 120 females, with a mean age of (50.7±12.0) years. Among these, 127 patients were classified into the benign group, while 105 patients were categorized into the suspicious malignancy group. No statistically significant differences were observed between the two groups regarding age, gender, symptoms, smoking history, or tumor history (P>0.05). However, significant differences were noted in nodule density, CT values, margins, shapes, and malignant signs (P＜0.05). Further analysis revealed that in the suspicious malignancy group, solid nodules were predominantly characterized by collagen nodules and fibrous tissue hyperplasia (33.3%), followed by tuberculosis (20.4%) and fungal infections (18.5%). In contrast, non-solid nodules were primarily composed of collagen nodules and fibrous tissue hyperplasia (41.2%) and atypical adenomatous hyperplasia (17.7%). Conclusion Benign pulmonary nodules that are suspected to be malignant are pathologically characterized by the presence of collagen nodules, fibrous tissue hyperplasia, tuberculosis, atypical adenomatous hyperplasia, and fungal infections. Radiologically, these nodules typically present as non-solid lesions and may exhibit features suggestive of malignancy, including spiculation, lobulation, cavitation, and pleural retraction.

Objective To investigate whether carotid artery stenting （CAS） is a protective factor against the progression of white matter hyperintensity （WMH） volume in patients with carotid artery stenosis. Methods A prospective study was conducted for the clinical， imaging， and follow-up data of patients with carotid artery stenosis who were treated in Zhejiang Provincial People's Hospital from January 2021 to June 2023. A total of 99 participants were included in this study， among whom 48 received CAS treatment （CAS group） and 51 did not receive CAS treatment （non-CAS group）. The two groups were analyzed in terms of baseline data and WMH volume during the 1-year follow-up. Results There were no significant differences in baseline data between the two groups （P>0.05）. There was no significant difference in overall WMH volume after follow-up between the two groups （P>0.05）， but compared with the non-CAS group， the CAS group showed a significantly lower degree of the progression of WMH volume within one year （-0.27 ml vs 2.82 ml， P<0.001）. There was a significant difference in the proportion of patients with new-onset stroke within one year between the CAS group and the non-CAS group （18.75% vs 37.25%， P=0.041）. The binary logistic regression analysis showed that CAS was an independent protective factor against the progression of WMH volume（OR=-0.37， 95%CI -0.78 to -0.03，P=0.046） and new-onset stroke within one year （OR=0.28， 95% CI 0.09 to 0.83， P=0.022）. Conclusion CAS is a protective factor against the progression of WMH volume and can effectively reduce the risk of stroke recurrence in patients with carotid artery stenosis.

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

OBJECTIVES: To study the molecular mechanisms of LDH-loaded si-NEAT1 for regulating paclitaxel resistance and tumor-associated macrophage (TAM) polarization in breast cancer. METHODS: qRT-PCR and Western blotting were used to detect the expression of lncRNA NEAT1, miR-133b, and PD-L1 in breast cancer SKBR3 cells and paclitaxel-resistant SKBR3 cells (SKBR3-PR). The effects of transfection with si-NEAT1 and miR-133b mimics on MRP, MCRP and PD-L1 expressions and cell proliferation, migration and apoptosis were investigated using qRT-PCR, Western blotting, scratch and Transwell assays, and flow cytometry. Rescue experiments were conducted using si-NEAT1 and miR-133b inhibitor. Human THP-1 macrophages were cultured in the presence of conditioned media (CM) derived from SKBR3 and SKBR3-PR cells with or with si-NEAT1 transfection for comparison of IL-4-induced macrophage polarization by detecting the surface markers. LDH@si-NEAT1 nanocarriers were constructed, and their effects on MRP, MCRP and PD-L1 expressions and cell behaviors of the tumor cells were examined. THP-1 cells were treated with the CM from LDH@si-NEAT1-treated tumor cells, and the changes in their polarization were assessed. RESULTS: SKBR3-PR cells showered significantly upregulated NEAT1 and PD-L1 expressions and lowered miR-133b expression as compared with their parental cells. Transfection with si-NEAT1 and miR-133b mimics inhibited viability, promoted apoptosis and enhanced MRP and BCRP expressions in SKBR3-PR cells. NEAT1 knockdown obvious upregulated miR-133b and downregulated PD-L1, MRP and BCRP expressions. The CM from SKBR3-PR cells obviously promoted M2 polarization of THP-1 macrophages, which was significantly inhibited by CM from si-NEAT1-transfected cells. Treatment with LDH@si-NEAT1 effectively inhibited migration and invasion, promoted apoptosis, and reduced MRP, BCRP and PD-L1 expressions in the tumor cells. The CM from LDH@si-NEAT1-treated SKBR3-PR cells significantly downregulated Arg-1, CD163, IL-10, and PD-L1 and upregulated miR-133b expression in THP-1 macrophages. CONCLUSIONS LDH@si-NEAT1 reduces paclitaxel resistance of breast cancer cells and inhibits TAM polarization by targeting the miR-133b/PD-L1 axis.
Humans ; MicroRNAs/genetics* ; RNA, Long Noncoding/genetics* ; Paclitaxel/pharmacology* ; Breast Neoplasms/metabolism* ; Drug Resistance, Neoplasm ; B7-H1 Antigen/metabolism* ; Cell Line, Tumor ; Female ; Tumor-Associated Macrophages ; Apoptosis ; Cell Proliferation ; Macrophages ; Cell Movement

Objective:To observe the feelings of listening to music and the importance of music in the daily life of post-lingual deaf adults with cochlear implants, and to explore the relevant influencing factors.Methods:This was a cross-sectional survey study. From January 2021 to August 2021,the Music-Related Quality of Life Scale was used to evaluate the music needs and music experiences of 63 post-lingual deaf adults who met the inclusion criteria, including 27 males and 36 females, aged (40.7±12.3) years, at the time of surgery (36.8±13.1) years, and with a preoperative hearing aid ineffective time of (3.9±5.8) years. Indicators analyzed included age, duration of ineffective preoperative hearing aid wear, preoperative music preference, duration of postoperative cochlear implant use, current hearing aid modality, and auditory rehabilitation outcomes. Whether the six factors mentioned above constituted an influence on the subjects′ music listening was investigated using SPSS 25.0 statistical software.Results:All of the observations in the scale were correlated with a single factor. The two sub-dimensions of music experience section were related to the effect of auditory rehabilitation. In the importance section, the effect of auditory rehabilitation was the influential factor of the dimension of "participation importance", and the preoperative enjoyment of music was the relevant influential factor of the dimension of "perceived importance". There was a significant difference between the groups when they were grouped by the above factors ( P value<0.05), while there was no statistically significance between the groups when they were grouped by other factors ( P value>0.05). Conclusions:Post-lingual deaf adults show the need and attempt to listen to music after cochlear implantation. The effectiveness of auditory rehabilitation and the degree of music preference preoperatively are two important factors that influence music listening in implant recipients. Once the level of auditory communication has been restored to a certain degree, it is important to pay more attention to the needs of music for implant recipients and train them in time, especially for those with music preferences preoperatively.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To explore the effectiveness of transperineal tension-free repair of rectal seromuscular layer in the treatment of acquired rectovestibular fistula.Methods Clinical data of 97 girls with acquired rectovestibular fistula from May 2016 to November 2023 were enrolled.The surgical age ranged from 6 months to 11 years old(median,3 years old).The fistula was disconnected and resected via the perineal approach.The anterior wall of the rectum was fully disconnected.Then the fistula was repaired with horizontal continuous tension-free suture of rectal plasmomuscular layer with 5-0 PDS sutures.After continuous suture reinforcement,the perineal muscle layer and skin were longitudinally continuously sutured.The internal fistula opening was exposured with an anal dilator or small hook,and the mucosal layer was continuously sutured with 5-0 PDS sutures.Postoperatively,the anal tube and urinary tube were retained for 5-7 d and antibiotics was administered for treatment.Results The mean operation time was(60.5±9.0)min,the mean fistula diameter was(5.2±2.1)mm,and the mean hospital stay was(7.4±1.9)d.The follow-ups time was 4.5 months to 8.5 years(median,4.25 years).Primary healing was achieved in 92 cases(94.8％),with satisfactory perineal appearance,smooth stool passage,and regular defecation.Fistula recurred within 5-10 d after operation in 5 cases(5.2％),2 of which healed after 3 weeks of sitz baths by using 3％boric acid or Kangfuxin solution,2 of which healed after second operation,and 1 of which experienced recurrence after secondary fistula repair.Conclusion Transperineal tension-free rectal seromuscular layer repair is a simple,safe,and effective surgical method for the treatment of acquired rectovestibular fistula in girls.

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.

AIM:To investigate the relationship between the dynamic changes of Lymphocyte-to-monocytes ratios(LMR)before PD-1 inhibitor treat-ment and the efficacy and prognosis of PD-1 inhibi-tor treatment in patients with advanced non-small cell lung cancer(NSCLC).METHODS:The clinical case data of 83 patients with advanced non-small cell lung cancer admitted to the Cancer Hospital of Wuhu Second People's Hospital from June 2019 to July 2022 were retrospectively analyzed.The rou-tine blood LMR values of all patients before and af-ter treatment were collected,the cut-off value was calculated according to the ROC curve,and the LMR was divided into two groups:high and low be-fore treatment and after treatment.The differenc-es of ORR,DCR,PFS and OS among the patients in each group were analyzed and compared,and the value of LMR value and dynamic changes after treatment on the efficacy and prognosis of patients with PD-1 inhibitors in the treatment of NSCLC pa-tients was analyzed.RESULTS:According to the ROC curve,the critical value of LMR was 1.8,and the LMR was divided into the low LMR group at baseline(LMRB/S<1.8),the high LMR group at base-line(LMRB/S≥1.8)and the low LMR group after treatment(LMRafter<1.8)and the high LMR group af-ter treatment(LMRafter≥1.8).The ORR and DCR after immunotherapy in the high LMRB/S group were high-er than those in the low LMRB/S group(P=0.037;P= 0.0025).Among the patients with low LMRB/S be-fore treatment,the DCR of the LMRafter≥1.8 group was better than that of the LMRafter<1.8 group after treatment(P=0.005).Among the patients with high LMR before treatment,the DCR of the LMRafter≥1.8 group was better than that of the LMRafter<1.8 group(P=0.034).Kaplan-Meier analysis showed that PFS and OS were longer in the high LMRB/S group than in the low LMRB/S group before treat-ment.In the low LMRB/S group before treatment,PFS and OS were longer in patients with LMRafter≥1.8 than those with LMRafter<1.8(P=0.047;P=0.007).Multivariate Cox regression model analysis showed that high LMRB/S value before treatment was an in-dependent risk factor for PFS and OS in NSCLC pa-tients(P=0.006;P=0.033).CONCLUSION:High LMR value of patients before immunotherapy may im-prove the efficacy of PD-1 inhibitors,improve the prognosis of patients,and prolong the survival time.Moreover,the increase of LMR value after treatment may increase the efficacy of patients with low LMR before treatment and improve the prognosis of patients.

Following the rapid advancement of artificial intelligence technologies, especially the development of large language models like ChatGPT, the field of medical clinical practice is undergoing an unprecedented technological revolution. These advanced technologies, through efficient processing and analysis of large datasets, not only provide medical professionals with auxiliary diagnoses and treatment suggestions but also significantly enhance the quality and efficiency of medical education. This study conducts a comprehensive analysis and review of the applications of large language models in various aspects, including clinical inquiry, history collection, medical literature writing, clinical decision support, optimization of medical portal websites, patient health management, medical education, academic research, and scientific writing. However, the application of these technologies is not without flaws and presents several limitations and ethical challenges. This paper focuses on challenges related to technological errors, academic dishonesty, abuse risks, over-reliance, possibilities of misdiagnosis and treatment errors, and issues of accountability. In conclusion, large language models demonstrate tremendous potential in the integration and advancement of medical practices. Nevertheless, while fully harnessing the benefits brought by ChatGPT, it is essential to acknowledge and address these ethical challenges to ensure that the application of ChatGPT in the medical field is responsible and effective.