Objective To systematically evaluate the efficacy and safety of traditional Chinese medicine (TCM) compound in treating pulmonary nodules, providing evidence-based medical evidence for TCM intervention in pulmonary nodules. Methods Computer search of PubMed, CNKI, Wanfang, VIP, and SinoMed was conducted to select randomized controlled trials (RCTs) of TCM compound intervention in pulmonary nodules, with the retrieval time from the inception to November 29, 2023. The Cochrane bias risk assessment tool was used to evaluate the quality of the included studies, and Review Manager 5.4 was used for Meta-analysis. Results A total of 18 RCTs were included, covering 8 provinces across the country, with a total sample size of 1301 patients. The TCM compounds used in the included studies all incorporated the method of dissolving phlegm and dissipating nodules. There was a high risk of bias uncertainty in the included studies. Meta-analysis results suggested that TCM compound could significantly reduce the diameter of pulmonary nodules [MD=−1.41, 95%CI (−1.70, −1.13), P<0.001], decrease the number of nodules [MD=−0.37, 95%CI (−0.73, −0.01), P=0.05], alleviate clinical symptoms [MD=−4.84, 95%CI (−6.04, −3.64), P<0.001], and improve lung function [forced expiratory volume in one second (FEV1), MD=0.55, 95%CI (0.09, 1.01), P=0.02; FEV1/forced vital capacity, MD=6.12, 95%CI (4.47, 7.78), P<0.001]. However, there was no statistically significant difference in the probability of malignancy between the experimental group and the control group [MD=−0.01, 95%CI (−0.01, 0.00), P=0.09]. Conclusion TCM compound can significantly reduce the diameter of pulmonary nodules, decrease the number of nodules, alleviate clinical symptoms, and improve lung function, but future multicenter, large-sample, high-quality RCTs are still needed to further explore and verify this conclusion.

Objective To develop an early automated differential diagnosis between Parkinson's disease(PD)and multiple system at-rophy-Parkinsonism(MSA-P)using a non-invasive combination of voice signal analysis and artificial intelli-gence.Methods From July,2023 to February,2025,a total of 48 MSA-P patients and 76 PD patients with a course of less than five years were recruited from Beijing Tiantan Hospital,Capital Medical University.Voice features,such as glot-tal,phonatory,articulatory,prosodic,phonological and representation learning-based features were extracted from eleven voice tasks.A data-driven approach was used to identify the most discriminative features,which were utilized to construct diagnostic models using a variety of machine learning models.The diagnostic model with the strongest discriminative efficiency was selected.Results The logistic regression model showed the best performance.For early-stage patients with a course less than two years,the diagnostic accuracy,precision and recall rate between PD and MSA-P were 92.5%,95.9%and 92.2%,respectively.For all the patients with a course less than five years,the logistic regression model achieved an accu-racy of 89.1%,a precision of 91.6%,and a recall rate of 92.4%.Even when features extracted from a single speech paradigm were used for analysis,the diagnostic accuracy could still reach 77.7%.Conclusion Voice signals analysis is potential in the early differential diagnosis of PD and MSA-P.

Objective:To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer.Methods:Specimens were collected from 209 breast cancer patients who received NAT at Renmin Hospital of Wuhan University from October 2019 to June 2023. TSR levels in pre-NAT biopsy specimens were automatically computed using a deep learning algorithm and categorized into low stroma (TSR≤30%), intermediate stroma (TSR 30% to ≤60%), and high stroma (TSR>60%) groups. Residual cancer burden (RCB) grading of post-NAT surgical specimens was determined to compare the relationship between TSR expression levels and RCB grades. The correlation of TSR with NAT efficacy was analyzed, and the association between TSR expression and patient prognosis was further investigated.Results:There were 85 cases with low stroma (TSR≤30%), 93 cases with intermediate stroma (TSR 30% to ≤60%), and 31 cases with high stroma (TSR>60%). Different TSR expression levels showed significant differences between various RCB grades ( P<0.05). Logistic univariate and multivariate analyses showed that TSR was a risk factor for obtaining a complete pathological remission from neoadjuvant therapy for breast cancer when it was used as a continuous variable ( P<0.05); COX regression and survival analyses showed that the lower the percentage of tumorigenic mesenchyme was, the better the prognosis of the patient was ( P<0.05). Conclusions:The deep learning-based model enables automatic and accurate quantification of TSR. A lower pre-treatment tumoral stroma is associated with a lower RCB score and a higher rate of pathologic complete response, indicating that TSR can predict the efficacy of neoadjuvant therapy in breast cancer and thus holds prognostic significance. Therefore, TSR may serve as a biomarker for predicting therapeutic outcomes in breast cancer neoadjuvant therapy.

Objective To develop an early automated differential diagnosis between Parkinson's disease(PD)and multiple system at-rophy-Parkinsonism(MSA-P)using a non-invasive combination of voice signal analysis and artificial intelli-gence.Methods From July,2023 to February,2025,a total of 48 MSA-P patients and 76 PD patients with a course of less than five years were recruited from Beijing Tiantan Hospital,Capital Medical University.Voice features,such as glot-tal,phonatory,articulatory,prosodic,phonological and representation learning-based features were extracted from eleven voice tasks.A data-driven approach was used to identify the most discriminative features,which were utilized to construct diagnostic models using a variety of machine learning models.The diagnostic model with the strongest discriminative efficiency was selected.Results The logistic regression model showed the best performance.For early-stage patients with a course less than two years,the diagnostic accuracy,precision and recall rate between PD and MSA-P were 92.5%,95.9%and 92.2%,respectively.For all the patients with a course less than five years,the logistic regression model achieved an accu-racy of 89.1%,a precision of 91.6%,and a recall rate of 92.4%.Even when features extracted from a single speech paradigm were used for analysis,the diagnostic accuracy could still reach 77.7%.Conclusion Voice signals analysis is potential in the early differential diagnosis of PD and MSA-P.

Objective To analyze the distribution and drug resistance patterns of pathogenic bacteria in bile and blood cultures obtained from patients with biliary stones accompanied by acute biliary tract infection,to evaluate the clinical appropriate-ness of antibiotic use based on drug sensitivity results,and to provide evidence for empirical antibiotic treatment in such patients.Methods The clinical data of 161 patients with biliary calculi complicated by acute biliary tract infection who were admitted to the First People's Hospital of Neijiang from 2017 to 2023 were retrospectively analyzed.The results of microbial culture,drug sensitivity analysis,and patient characteristics were assessed to evaluate the appropriateness of clinical antimicrobial therapy.Results Among the 161 patients with positive cultures,212 strains of pathogenic bacteria were detected.The predominant patho-gens were Escherichia coli,Klebsiella pneumoniae subspecies,and Enterococcus faecium.Age and underlying diseases significantly affected the distribution of Escherichia coli and Klebsiella pneumoniae subspecies.Within the gram-negative bacterial group,Esche-richia coli and Klebsiella pneumoniae subspecies exhibited higher drug resistance to commonly used broad-spectrum penicillin,third-generation cephalosporin and quinolones but lower resistance rates to piperacillin and tazobactam;furthermore,elderly indi-viduals aged ≥65 years showed higher resistance rates to ceftriaxone than those under age 65 while people with drug exposure history had higher ceftazidime resistance rates that were statistically significant.In contrast to Enterococcus faecalis which displayed low antimicrobial resistance rates for most drugs tested in this study,Enterococcus faecium demonstrated high levels of antibiotic resistance;however,both Enterococcus faecalis and Enterococcus faecium exhibited zero-resistance rates against vancomycin and tigecycline although this may be attributed to their small sample size in our study cohort.Finally,we found that empirical anti-in-fective drugs,as well as target anti-infective drugs,were not prescribed rationally among these patients due mainly to inappropriate combinations of antibiotics or incorrect dosages.Conclusions The predominant pathogens in patients with acute biliary tract infection are gram-negative bacteria,Gram-positive bacteria,and fungi;however,the potential involvement of anaerobic bacteria should not be overlooked.Vancomycin exhibits sensitivity against gram-positive bacteria,yet the overall rationality of antibiotic usage remains suboptimal.Enhanced clinical testing for pathogenic microorganisms is imperative in the management of biliary stones accompanied by acute biliary tract infection.In contrast,clinical pharmacists should provide comprehensive training on anti-infective drugs to clinicians to facilitate their judicious selection of antibiotics based on drug sensitivity results and prevent the e-mergence of multidrug-resistant bacteria.

Objective:To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer.Methods:Specimens were collected from 209 breast cancer patients who received NAT at Renmin Hospital of Wuhan University from October 2019 to June 2023. TSR levels in pre-NAT biopsy specimens were automatically computed using a deep learning algorithm and categorized into low stroma (TSR≤30%), intermediate stroma (TSR 30% to ≤60%), and high stroma (TSR>60%) groups. Residual cancer burden (RCB) grading of post-NAT surgical specimens was determined to compare the relationship between TSR expression levels and RCB grades. The correlation of TSR with NAT efficacy was analyzed, and the association between TSR expression and patient prognosis was further investigated.Results:There were 85 cases with low stroma (TSR≤30%), 93 cases with intermediate stroma (TSR 30% to ≤60%), and 31 cases with high stroma (TSR>60%). Different TSR expression levels showed significant differences between various RCB grades ( P<0.05). Logistic univariate and multivariate analyses showed that TSR was a risk factor for obtaining a complete pathological remission from neoadjuvant therapy for breast cancer when it was used as a continuous variable ( P<0.05); COX regression and survival analyses showed that the lower the percentage of tumorigenic mesenchyme was, the better the prognosis of the patient was ( P<0.05). Conclusions:The deep learning-based model enables automatic and accurate quantification of TSR. A lower pre-treatment tumoral stroma is associated with a lower RCB score and a higher rate of pathologic complete response, indicating that TSR can predict the efficacy of neoadjuvant therapy in breast cancer and thus holds prognostic significance. Therefore, TSR may serve as a biomarker for predicting therapeutic outcomes in breast cancer neoadjuvant therapy.

A 58-year-old female patient with anti-synthetase syndrome received compound sulfamethoxazole [containing trimethoprim (TMP) 80 mg and sulfamethoxazole (SMZ) 0.4 g, SMZ-TMP] 3 tablets thrice daily orally for the treatment of Pneumocystis jirovecii pneumonia. Before medication, the patient′s blood potassium was 3.3 mmol/L and blood chlorine was 116 mmol/L. Three days after SMZ-TMP treatment, the patient′s blood potassium was 5.7 mmol/L, blood chlorine was 114 mmol/L, blood pH was 7.3, urine pH was <5.5, blood chlorine was 114 mmol/L, and bicarbonate was 15 mmol/L. Hyperkalemia type renal tubular acidosis due to SMZ-TMP was considered. The dosage of SMZ-TMP was reduced to 2 tablets once daily orally. After 1 day of diuretic and potassium excretion treatments, the patient′s blood potassium levels returned to normal; after 2 days of the treatments, her blood chlorine was 109 mmol/L and bicarbonate was 17 mmol/L; after 3 days of the treatments, her chest CT showed emphysema in the neck and mediastinum. The dose of SMZ-TMP was changed to 3 tablets thrice daily orally, and at the same time intravenous infusion of ganciclovir 0.3 g twice daily was given. And again, her blood potassium increased and blood pH decreased. Sodium bicarbonate 1 g thrice daily orally was given to correct the acidosis. After adding SMZ-TMP for 2 days, SMZ-TMP dosage was reduced to 2 tablets once daily orally again. Seven days later, the patient′s vital signs were stable, her mediastinal emphysema was significantly improved, her blood potassium was 4.7 mmol/L, and blood pH was 7.4.

ObjectiveTo analyze the adverse reactions associated with the clinical use of Banxia （Rhizoma Pinelliae）- Wutou （Aconitum） in the same formula， with the aim of providing a reference for the safety of their clinical application. MethodsLiterature on the clinical application of antagonistic herbs "Banxia-Wutou" used in the same formula， published from January 1st， 2014， to June 30th， 2023， was retrieved from databases including CNKI， VIP， Wanfang， SinoMed， PubMed， Cochrane Library， and Embase. A database was established， and information related to adverse reactions was extracted， including descriptions， classifications， specific manifestations， management and outcomes， patients' primary diseases （western medicine diseases and traditional Chinese medicine diagnoses and syndromes）， and medication information （dosage， ratio， administration routes， and dosage forms）. ResultsA total of 79 researches simultaneously used antagonistic herbs Banxia-Wutou in the same formula and reported associated advers reactions. Gastrointestinal adverse reactions were the most common， with 8 studies reporting management of adverse reactions and 3 studies reporting improvement with no intervention. Among the 11 researches， the adverse reaction relieved to extant， while other 69 researches didn't report the managment of adverse reaction and its prognosis. For the primary disease in western medicine system， chronic bronchitis and chronic obstructive pulmonary disease （COPD） were most common， while gastric pain was the most common symptom in traditional Chinese medicine with spleen and kidney deficiency and spleen stomach cold deficiency being the most frequent syndromes. The most common Banxia dosage was 10 g， while for the Wutou， Fuzi （Radix Aconiti Lateralis Praeparata） was predominant with the highest dose at 15 g. The most frequent herbal combination was Banxia-fuzi， with a 1∶1 ratio. The main administration route was oral， and the primary dosage form was decoction. ConclusionGastrointestinal adverse reactions are the most common in the clinical use of Banxia-Wutou antagonistic herb combinations. Research on the safety of "Banxia-Wutou" combinations should focus on respiratory system diseases and spleen-stomach related conditions.

Objective To analyze the distribution characteristics of 13 common respiratory pathogens in children in Zibo area from 2020 to 2022.Methods A total of 3091 hospitalized children with respiratory infections admitted to Zibo Maternal and Child Health Hospital from January 2020 to December 2022 were selected as the subjects.Throat swabs or bronchoalveolar lavage fluid samples were collected from the patients,and 13 common respiratory pathogens were tested to analyze the distribution differences among different genders,ages,and seasons.Results Among 3091 pediatric patients,1794 were found to be infected with pathogens.The top three pathogens were Mycoplasma pneumoniae,rhinovirus,and respiratory syncytial virus(RSV).The single infection rate was 47.75％,while the mixed infection rate was 10.28％,with the most common scenario being a mixed infection of two pathogens.There were statistically significant differences in the pathogen profiles across different age groups(P＜0.001):infants had the highest detection rate of RSV,young children were primarily infected with rhinovirus,preschool and school-age children were predominantly infected with Mycoplasma pneumoniae.Seasonal distribution showed that the highest positive rate was in autumn,while the lowest was in spring(P＜0.05).In spring,the main pathogens were rhinovirus and Mycoplasma pneumoniae;in summer,they were rhinovirus and parainfluenza virus;in autumn,they were Mycoplasma pneumoniae and RSV;and in winter,the detection rates of Mycoplasma pneumoniae and influenza B virus were higher.Conclusion From 2020 to 2022,Mycoplasma pneumoniae,rhinovirus and RSV were the main pathogens of children's respiratory tract infection in Zibo area,and there were significant differences in the distribution of pathogens among different ages and seasons.

Objective To analyze the distribution and drug resistance patterns of pathogenic bacteria in bile and blood cultures obtained from patients with biliary stones accompanied by acute biliary tract infection,to evaluate the clinical appropriate-ness of antibiotic use based on drug sensitivity results,and to provide evidence for empirical antibiotic treatment in such patients.Methods The clinical data of 161 patients with biliary calculi complicated by acute biliary tract infection who were admitted to the First People's Hospital of Neijiang from 2017 to 2023 were retrospectively analyzed.The results of microbial culture,drug sensitivity analysis,and patient characteristics were assessed to evaluate the appropriateness of clinical antimicrobial therapy.Results Among the 161 patients with positive cultures,212 strains of pathogenic bacteria were detected.The predominant patho-gens were Escherichia coli,Klebsiella pneumoniae subspecies,and Enterococcus faecium.Age and underlying diseases significantly affected the distribution of Escherichia coli and Klebsiella pneumoniae subspecies.Within the gram-negative bacterial group,Esche-richia coli and Klebsiella pneumoniae subspecies exhibited higher drug resistance to commonly used broad-spectrum penicillin,third-generation cephalosporin and quinolones but lower resistance rates to piperacillin and tazobactam;furthermore,elderly indi-viduals aged ≥65 years showed higher resistance rates to ceftriaxone than those under age 65 while people with drug exposure history had higher ceftazidime resistance rates that were statistically significant.In contrast to Enterococcus faecalis which displayed low antimicrobial resistance rates for most drugs tested in this study,Enterococcus faecium demonstrated high levels of antibiotic resistance;however,both Enterococcus faecalis and Enterococcus faecium exhibited zero-resistance rates against vancomycin and tigecycline although this may be attributed to their small sample size in our study cohort.Finally,we found that empirical anti-in-fective drugs,as well as target anti-infective drugs,were not prescribed rationally among these patients due mainly to inappropriate combinations of antibiotics or incorrect dosages.Conclusions The predominant pathogens in patients with acute biliary tract infection are gram-negative bacteria,Gram-positive bacteria,and fungi;however,the potential involvement of anaerobic bacteria should not be overlooked.Vancomycin exhibits sensitivity against gram-positive bacteria,yet the overall rationality of antibiotic usage remains suboptimal.Enhanced clinical testing for pathogenic microorganisms is imperative in the management of biliary stones accompanied by acute biliary tract infection.In contrast,clinical pharmacists should provide comprehensive training on anti-infective drugs to clinicians to facilitate their judicious selection of antibiotics based on drug sensitivity results and prevent the e-mergence of multidrug-resistant bacteria.