The incidence and mortality rates of lung cancer have been continuously rising. Smoking is a crucial modifiable factor contributing to the high incidence of lung cancer, and quitting smoking is of great significance for the treatment and prognosis of lung cancer patients. This article systematically reviews the harms of smoking to lung cancer patients, such as carcinogenic substances triggering lung cancer, affecting the course of the disease, and the improvement of prognosis after quitting smoking. It also analyzes the current situation of smoking cessation among lung cancer patients, who face numerous difficulties and have a relatively small number of successful quitters. Meanwhile, this article provides a detailed introduction to the clinical diagnosis and treatment methods for smoking cessation interventions. This includes the explanation of the pathophysiology of smoking cessation, psychological supportive therapies [brief psychological intervention and 5A’s model (Ask, Advise, Assess, Assist, Arrange) psychological counseling], and pharmacotherapies (nicotine-based and non-nicotine-based smoking cessation medications). In addition, it covers the behavioral intervention therapies for smoking cessation, including the PRECEDE-PROCEED model, cognitive behavior theory model, capacity opportunity motivation-behavior (COM-B) theoretical model, information-motivation-behavioral skills (IMB) model, timing is right (TIR) theoretical model, and the economic incentive intervention model. Although some of the current intervention methods lack the support of clinical randomized controlled studies, existing research and practice have confirmed their positive effects on smoking cessation among lung cancer patients. It is hoped that relevant intervention methods can be further improved in the future to help lung cancer patients improve their quality of life.

OBJECTIVE To construct ensemble learning models for predicting high-use days of budesonide based on meteorological factors， thereby providing reference for hospital pharmacy management. METHODS Meteorological data for 2024 and outpatient budesonide usage data from the jurisdiction of Sanming Hospital of Integrated Traditional Chinese and Western Medicine were collected. High-use days were defined as the 75th percentile of outpatient budesonide usage， and a corresponding dataset was established. The prediction task was formulated as a classification problem， and three ensemble learning models were developed： Random Forest， Extreme Gradient Boosting （XGBoost）， and Histogram-based Gradient Boosting Classifier. Model performance was evaluated using accuracy， precision， recall， F1-score， and log-loss. Model interpretability was analyzed using Shapley Additive Explanations （SHAP）. RESULTS The Histogram-based Gradient Boosting Classifier achieved the best performance （accuracy＝0.75， F1-score＝0.48）， followed by XGBoost （accuracy＝0.74， F1-score＝0.43） and Random Forest （accuracy＝0.72， F1-score＝0.22）. SHAP results suggested that the prediction results of the last two models have the highest correction. CONCLUSIONS Ensemble learning models can effectively predict high-use days of budesonide， with the Histogram- based Gradient Boosting Classifier demonstrating the best predictive performance. Low temperature， high humidity， and low atmospheric pressure show significant positive impacts on the prediction of daily budesonide usage.

Objective:To investigate the therapeutic effects of dapagliflozin on renal fibrosis in patients with type 2 diabetic nephropathy (T2DN) and the underlying mechanisms involved.Methods:A randomized controlled study was conducted involving 152 patients with T2DN who received treatment at The First People's Hospital of Huzhou from April 2021 to May 2023. The patients were divided into an observation group and a control group, with 76 participants in each group, using a random number table method. The control group received conventional hypoglycemic therapy, while the observation group received dapagliflozin in addition to the conventional hypoglycemic therapy. Both groups were treated for 3 months. Before and after treatment, glycated hemoglobin, blood glucose, renal function indicators, and renal fibrosis markers (hyaluronic acid, type Ⅳ collagen, type Ⅲ procollagen, and laminin) were measured. Additionally, the levels of transforming growth factor-beta 1 (TGF-β 1), phosphorylated p38 mitogen-activated protein kinase (MAPK) pathway components [phosphorylated extracellular signal-regulated kinase (p-ERK),phosphorylated p38 mitogen-activated protein kinase (p-P38), phosphorylated c-Jun N-terminal Kinase (p-JNK)], and inflammatory factors (interleukin-6, interleukin-1 beta, and cyclooxygenase-2) in the patients' peripheral blood were measured. Transcriptome sequencing was performed to construct libraries and sequence the total RNA from kidney biopsy samples of the patients. Results:After treatment, the levels of hyaluronic acid, laminin, type Ⅳ collagen, and type Ⅲ procollagen in the observation group were (167.42 ± 17.91) μg/L, (106.10 ± 14.57) μg/L, (95.98 ± 10.03) μg/L, and (89.38 ± 9.75) μg/L, respectively. These values were significantly lower than those in the control group [(243.17 ± 24.38) μg/L, (147.43 ± 17.09) μg/L, (147.71 ± 14.59) μg/L, and (121.81 ± 14.88) μg/L, t = 21.83, 16.04, 25.47, 15.89, all P < 0.001]. The levels of interleukin-6, interleukin-1 beta, cyclooxygenase-2, TGF-β 1, and p-ERK, p-P38, and p-JNK in the observation group were significantly lower than those in the control group ( t = 9.45, 3.49, 11.30, 6.11, 4.26, 4.21, 2.04, all P < 0.05). Transcriptome sequencing enrichment analysis identified "fibronectin," "inflammatory response," and "TGF-β 1/P38 MAPK signaling pathway" as the differentially expressed signaling pathways. In kidney biopsy samples, the protein levels of TGF-β 1, p-ERK, and p-P38 in the observation group were (0.38 ± 0.15), (0.17 ± 0.10), and (0.58 ± 0.18), respectively, all of which were significantly lower than those in the control group [(0.16 ± 0.10), (0.07 ± 0.02), (0.19 ± 0.11), t = 2.99, 2.40, 4.53, all P < 0.05]. The overall response rate in the observation group was 93.43% (71/76), which was significantly higher than that in the control group [81.58% (62/76), χ2 = 7.02, P = 0.030]. Conclusions:Dapagliflozin has a beneficial therapeutic effect on renal fibrosis in patients with T2DN, as it can inhibit the expression of the TGF-β 1/p38 MAPK signaling pathway and reduce inflammation.

Objective:With the help of the advanced ACD Labs/AutoChrom method development software,param-eter simulation design was carried out.Based on the results of software simulation and actual investigation,an HPLC method for the determination of related impurities in safinamide mesylate raw material drug was established.Methods:A Waters Atlantis T3 column(4.6 mm ×250 mm,5 μm)was used.The phosphate buffer with a pH of 7.0 was used as mobile phase A,and acetonitrile was used as mobile phase B.Gradient elution was performed at a flow rate of 1.3 mL·min-1,the detection wavelength was 228 nm,the column temperature was 35 ℃,and the injection volume was 10 μL.Results:Impurities 1-12 in safinamide mesylate could be effectively separated from the main component.The linear ranges were 0.102 1-5.329,0.102 9-5.379 7,0.106 8-4.972 9,0.102 1-5.135,0.103 8-5.314 7,0.097 7-4.869 8,0.095 2-4.760 5,0.095 3-5.109 5,0.050 5-5.287 5,0.098 7-4.885 6,0.102 4-4.997 5,0.050 8-5.134 7 μg·mL-1,respectively.The limits of detection(LOD)were 0.051,0.051 4,0.053 4,0.051 1,0.051 9,0.048 8,0.047 6,0.047 7,0.025 3,0.049 3,0.051 2,0.025 4 μg·mL-1,and the limits of quantification(LOQ)were 0.102 1,0.102 9,0.106 8,0.102 1,0.103 8,0.097 7,0.095 2,0.095 3,0.050 5,0.098 7,0.102 4,0.050 8 μg·mL-1.The accuracy,preci-sion and durability all met the requirements.Conclusion:This method is suitable for the determination and quality control of the related substances of 12 impurities in safinamide mesylate raw materials.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1％of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9％)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5％)was lower than that in inpatient children(31.5％).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1％)than in inpatient children(59.4％).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14％,11.7％,47.8％in outpatients,but 24.2％,20.6％,and 52.8％in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.

Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)％.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0％vs 29.5％).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7％vs 7.8％,0.8％vs 0.1％,both P＜0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)％with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9％and 1.8％,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1％).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10％.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P＜0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

OBJECTIVE: Serological and molecular biological analysis of a B(A) subtype family was carried out to explore the underlying mechanism of B(A) subtype and clinical safe blood transfusion strategies. METHODS: The ABO blood type of the proband and her four family members were identified by serological methods, and serological experiments such as anti-H, anti-A1 and absorption-elution tests was added. In addition, the exons 6 and 7 of the ABO gene were sequenced by PCR-SSP (polymerase chain reaction - sequence specific primer). RESULTS: The serological results showed that the agglutination intensity of the proband, her mother and her maternal grandmother was imbalanced during forward typing, showing weak A and strong B antigens, and there were strong H antigens and their intensity were higher than that of normal B type. The results of reverse typing indicated the presence of weak anti-A1 antibodies, and human anti-A was positive in the absorption-elution test. Genetic sequencing revealed a characteristic mutation of c.700 C>G in all three individuals. The sequencing results showed that the proband was B(A)02/B01, her mother was B(A)02/O02, and her maternal grandmother was B(A)02/O01 . According to the compatibility principle, 1.5 units of type O washed red blood cells were transfused intraoperatively, resulting in no adverse reactions. CONCLUSION The c.700 C > G mutation on exon 7 is the molecular basis for the formation of B(A)02, and pedigree analysis shows that the B(A)02 allele was inherited from the proband's maternal grandmother to the proband's mother and then to the proband, showing a stable cis-inheritance pattern rather than a spontaneous mutation. For patients with B(A)02 subtype, type O washed red blood cells and type AB plasma can be transfused according to the principle of compatibility.
Humans ; ABO Blood-Group System/genetics* ; Female ; Blood Transfusion ; Blood Grouping and Crossmatching ; Pedigree ; Male ; Mutation ; Adult ; Exons

BACKGROUND: Medical informatics accumulated vast amounts of data for clinical diagnosis and treatment. However, limited access to follow-up data and the difficulty in integrating data across diverse platforms continue to pose significant barriers to clinical research progress. In response, our research team has embarked on the development of a specialized clinical research database for cardiology, thereby establishing a comprehensive digital platform that facilitates both clinical decision-making and research endeavors. METHODS: The database incorporated actual clinical data from patients who received treatment at the Cardiovascular Medicine Department of Chinese PLA General Hospital from 2012 to 2021. It included comprehensive data on patients' basic information, medical history, non-invasive imaging studies, laboratory test results, as well as peri-procedural information related to interventional surgeries, extracted from the Hospital Information System. Additionally, an innovative artificial intelligence (AI)-powered interactive follow-up system had been developed, ensuring that nearly all myocardial infarction patients received at least one post-discharge follow-up, thereby achieving comprehensive data management throughout the entire care continuum for high-risk patients. RESULTS: This database integrates extensive cross-sectional and longitudinal patient data, with a focus on higher-risk acute coronary syndrome patients. It achieves the integration of structured and unstructured clinical data, while innovatively incorporating AI and automatic speech recognition technologies to enhance data integration and workflow efficiency. It creates a comprehensive patient view, thereby improving diagnostic and follow-up quality, and provides high-quality data to support clinical research. Despite limitations in unstructured data standardization and biological sample integrity, the database's development is accompanied by ongoing optimization efforts. CONCLUSION The cardiovascular specialty clinical database is a comprehensive digital archive integrating clinical treatment and research, which facilitates the digital and intelligent transformation of clinical diagnosis and treatment processes. It supports clinical decision-making and offers data support and potential research directions for the specialized management of cardiovascular diseases.