Traditional treatment for type 1 diabetes mellitus （T1DM） primarily involves insulin replacement， yet some patients encounter issues such as significant blood glucose fluctuations， high risk of hypoglycemia， and weight gain. In recent years， the adjuvant therapeutic role of non-insulin hypoglycemic drugs in T1DM has gradually gained attention. This article reviews the mechanisms of action and clinical research progress of five types of non-insulin hypoglycemic drugs in the treatment of T1DM： amylin analogues （pramlintide）， biguanides （metformin）， sodium-glucose co-transporter 2 inhibitor， dipeptidyl peptidase-4 inhibitor， and glucagon-like peptide-1 receptor agonist. It is found that these drugs can enhance clinical benefits for T1DM patients by improving insulin sensitivity， delaying gastric emptying， promoting urinary glucose excretion， and regulating incretin levels， thereby reducing glycated hemoglobin levels， decreasing insulin dosage， and managing body weight. Simultaneously， these drugs also present limitations such as low patient compliance due to complex dosing regimens， increased risk of diabetic ketoacidosis， and heterogeneity in glycemic control. Future research could focus on developing individualized treatment strategies， combining pharmacogenomics with novel biomarkers to precisely identify subpopulations of patients who may benefit， and delving into the potential value of these drugs in delaying diabetic vascular complications and improving patients’ quality of life.

It is very limited that the benefit of perioperative chemotherapy in early non-small cell lung cancer (NSCLC), and the 5-year survival rate is only 5% higher than surgery. Antibodies that block programmed cell death protein 1/programmed death-ligand 1 significantly improve the survival of advanced NSCLC. The value of immunotherapy in early NSCLC is also being explored. This paper firstly summarized and analyzed the progress of immunotherapy in the perioperative period of NSCLC. Secondly, the safety and feasibility of surgical resection after neoadjuvant immunotherapy were discussed. Finally, the clinical value of different therapeutic efficacy prediction indicators was summarized, in order to clarify the current status of immunotherapy in the perioperative period, so as to improve the clinical benefits of early NSCLC patients.

Lung cancer is a leading cause of cancer-related morbidity and mortality worldwide. Coupled with the substantial workload, the clinical management of lung cancer is challenged by the critical need to efficiently and accurately process increasingly complex medical information. In recent years, large language models (LLMs) technology has undergone explosive development, demonstrating unique advantages in handling complex medical data by leveraging its powerful natural language processing capabilities, and its application value in the field of lung cancer diagnosis and treatment is continuously increasing. The paper systematically analyzes that the exceptional potential of LLMs in lung cancer auxiliary diagnosis, tumor feature extraction, automatic staging, progression/outcome analysis, treatment recommendations, medical documentation generation, and patient education. However, they face critical technical and ethical challenges including inconsistent performance in complex integrated decision-making (e.g., TNM staging, personalized treatment suggestions) and "black box" opacity issues, along with dilemmas such as training data biases, model hallucinations, data privacy concerns, and cross-lingual adaptation challenges ("data colonization"). Future directions should prioritize constructing high-quality multimodal corpora specific to lung cancer, developing interpretable and compliant specialized models, and achieving seamless integration with existing clinical workflows. Through dual drivers of technological innovation and ethical standardization, LLMs should be prudently advanced for holistic lung cancer management processes, ultimately promoting efficient, standardized, and personalized diagnosis and treatment practices.

Objective To investigate the efficacy of early, short-term, low-dose corticosteroid administration for the prevention and treatment of early acute lung injury (EALI) in patients undergoing thoracoscopic lobectomy. Methods A retrospective analysis was conducted on the clinical data of patients who underwent thoracoscopic lobectomy at the Department of Thoracic and Cardiovascular Surgery, Taihe Hospital, Hubei University of Medicine, from January 2019 to January 2022. Patients were divided into an early steroid therapy group and an observation group based on whether they received corticosteroids in the early postoperative period. In the early steroid therapy group, in addition to standard postoperative care, patients received a low-dose intravenous push of methylprednisolone (80-120 mg/d) for 3 consecutive days. In the observation group, patients received standard postoperative care without intravenous corticosteroids for the first 3 days. Chest plain CT scans were performed on postoperative day (POD) 1 and POD 3 or 4 to evaluate lung injury. CT scores and the incidence of postoperative EALI were recorded. Results A total of 521 patients were included (268 males, 253 females; age range: 11-80 years). There were 318 patients in the observation group and 203 in the early steroid therapy group. On POD 1, the incidence of EALI was 16.0% in the observation group and 13.8% in the early steroid therapy group, with no statistical difference (P=0.486). Correspondingly, there was no statistical difference in chest CT scores among EALI-positive patients between the two groups (P=0.927). On POD 3-4, the incidence of EALI was significantly lower in the early steroid therapy group (22.7%) compared to the observation group (33.6%) (P=0.007). Although chest CT scores among EALI-positive patients were lower in the early steroid therapy group, the difference was not statistically significant (P=0.377). The overall incidence of EALI within the first 4 postoperative days was significantly lower in the early steroid therapy group (26.1%) than in the observation group (37.4%) (P=0.007). Radiological progression (defined as new-onset EALI or progression of existing EALI) occurred in 14.8% of the early steroid therapy group, significantly lower than the 28.9% in the observation group (P<0.001). The early steroid therapy group had a shorter postoperative length of stay (P<0.001), while there was no statistical difference in the incidence of poor wound healing between the groups (P=0.762). Conclusion Early postoperative corticosteroid use effectively reduces the incidence of EALI on POD 3-4, lowers the risk of radiological progression, and decreases the overall incidence of postoperative EALI. This is achieved without prolonging the length of stay or increasing the risk of poor wound healing. Therefore, early administration of low-dose corticosteroids is beneficial in suppressing the occurrence and progression of EALI. Its early use is recommended for patients at high risk for postoperative EALI.

OBJECTIVE To investigate the ameliorative effects of Imperatae Rhizoma （RI） extract against doxorubicin （DOX）-induced myocardial injury and its potential molecular mechanisms. METHODS Network pharmacology was employed to screen for target overlap between the predicted core targets of RI’s active components and targets associated with myocardial injury， followed by gene ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analyses. Based on the network pharmacology results， a DOX-induced myocardial injury mouse model was established using male C57BL/6J mice to observe the effects of RI extract [1 g/（kg·d）] on the survival rate， body weight， and cardiac damage. A DOX-injured HL-1 cardiomyocyte model was established to assess the effects of different mass concentrations of RI extract （50， 100， 200 μg/mL） on mitochondrial membrane potential， adenosine triphosphate （ATP） production， reactive oxygen species （ROS） generation， apoptosis， and expression of the relevant target proteins. The mechanism was validated by transfecting with small interfering RNA of estrogen receptor 1 （ESR1）. RESULTS A total of 58 overlapping targets were screened， which were enriched in biological processes such as hormone response and hypoxia response， as well as pathways including apoptosis， tricarboxylic acid cycle， and pyruvate metabolism. Key target proteins， such as ESR1， were also identified. Animal experiments confirmed that the survival rate of mice in the DOX+RI group was obviously higher than that in the DOX group， with a slower rate of weight loss and improved pathological changes， such as cardiac atrophy and inflammatory cell infiltration， compared to the DOX group. Cell experiments showed that， compared with the DOX group， the DOX+RI groups exhibited significantly increased or upregulated mitochondrial membrane potential， relative ATP levels， and mRNA expressions of isocitrate dehydrogenase 3A （IDH3A）， succinate dehydrogenase A （SDHA） and peroxisome proliferators-activated receptor γ coactivator-1α （PGC-1α）， as well as mRNA and protein expressions of ESR1； conversely， relative ROS levels and apoptosis rates were significantly reduced （ P ＜0.05）. Following ESR1 knockdown， the anti-apoptotic effect of the RI extract on cardiomyocytes was significantly attenuated （ P ＜0.05）. CONCLUSIONS The RI extract may alleviate DOX-induced myocardial injury by activating the ESR1 signaling pathway， improving mitochondrial function， and inhibiting excessive ROS production and cardiomyocyte apoptosis.

Objective To explore the predictive value of artificial intelligence (AI)-based lung nodule CT quantitative analysis for the invasion degree of lung adenocarcinoma spectrum lesions. Methods According to the invasion degree of lung adenocarcinoma spectrum lesions, patients with surgically and pathologically confirmed lung adenocarcinoma spectrum lesions from January to June 2023 in Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University were retrospectively collected and divided into a non-invasive group and an invasive group, including atypical adenomatous hyperplasia, adenocarcinoma in situ, and minimally invasive adenocarcinoma patients in the non-invasive group, and invasive adenocarcinoma patients in the invasive group. All enrolled patients underwent chest CT before surgery, and then the lung nodules were quantitatively analyzed using an AI-based computer-aided diagnosis system to compare the related quantitative parameters of lung nodules that have been surgically removed and pathologically confirmed as lung adenocarcinoma spectrum lesions between the two groups. The relationship between various CT quantitative features and the invasion degree of lung adenocarcinoma spectrum lesions was analyzed. Results A total of 149 patients (149 lesions) were included, including 42 males and 107 females, aged 29-81 (56.35±10.75) years. There were 72 patients in the non-invasive group and 77 patients in the invasive group. Statistical differences were observed between the two groups in long diameter, short diameter, volume, surface area, mass, maximum cross-sectional area, 3D long diameter, maximum CT value, minimum CT value, average CT value, entropy, kurtosis, skewness, malignancy probability and other indicators (P<0.05). Multivariate binary logistic regression analysis showed that long diameter [OR=1.687, 95%CI (1.364, 2.085), P<0.001], average CT value [OR=1.006, 95%CI (1.002, 1.009), P=0.002], and malignancy probability [OR=1.034, 95%CI (1.005, 1.063), P=0.020] were independent risk factors for the invasion degree of lung adenocarcinoma. The predictive model combining the above parameters demonstrated optimal performance, with an area under the receiver operating characteristic curve of 0.951, sensitivity of 0.818, and specificity of 0.972. Using a Nomogram to quantify the three independent risk factors, the cross-validation was performed to evaluate the stability of the model, and the average C-index of cross-validation was 0.950, with each fold C-index >0.75, indicating that the prediction performance of the model was stable, and the calibration curve and decision curve indicated good predictive performance. Conclusion The visualization prediction model constructed by AI-based quantitative analysis of lung nodules in CT demonstrates significant discriminative effectiveness in the assessment of invasiveness in lung adenocarcinoma spectrum lesions. This visualization prediction model can provide a quantitative decision-making basis for the preoperative identification of the degree of invasiveness in lung adenocarcinoma spectrum lesions.

Objective To investigate the epidemiological characteristics of malaria and provide a basis for developing improved prevention and control measures. Methods Data were obtained from the Chinese Disease Prevention and Control Information System. Malaria surveillance data for Nanning City from January 1,2023, to December 31,2024, were exported from the Infectious Disease Reporting Information Management Subsystem. The characteristics of the two groups of malaria cases were compared. Results A total of 103 imported malaria cases were reported in Nanning City in 2024, representing a 38.32% decrease compared with the same period of the previous year. No statistically significant difference were observed between cases reported in 2023 and 2024 in terms of average age, gender ratio, proportion of parasite species, and monthly reporting distribution;however, statistically significant differences were found in the proportion of reporting areas and current residence areas(χ2= 13.572 and 10.355, respectively; P = 0.001 and 0.035, respectively). The proportion of cases reported in Shanglin County and the proportion of cases residing in Shanglin County were both lower than those during the same period of the previous year. Conclusions The high aggregation of imported malaria cases in Nanning City has decreased. Medical institutions in areas other than Shanglin County should strengthen their vigilance against malaria.

Objective To apply an artificial intelligence (AI) -based pelvic floor optimization training system using human motion analysis technique in patients undergoing pelvic floor rehabilitation, so as to assist clinicians in providing guidance, improving clinical efficiency, and enhancing the efficacy of patients' independent training. Methods A total of 60 patients with overactive bladder (OAB) complicated with urgent urinary incontinence (UUI) treated in our hospital during Sep. 2024 and Dec. 2025 were enrolled and randomly divided into the routine guidance group (n=30) and AI guidance group (n=30). The routine guidance group received conventional pelvic floor optimization training under clinicians' instruction, while the AI guidance group underwent training with the AI-based pelvic floor optimization system using human motion analysis. After 6 weeks of intervention, outcomes were compared between the two groups, including the international consultation on incontinence questionnaire-short form (ICI-Q-SF), incontinence quality of life scale (I-QoL), overactive bladder symptom score (OABSS), patient's perception of bladder condition (PPBC) score, pelvic floor muscle function (myoelectric values in the preresting, post-resting, type Ⅰ muscle, type Ⅱ muscle, and endurance test phases), urine output, average flow rate (Qavg), and maximum flow rate (Qmax). Results After 6 weeks of treatment, the ICI-Q-SF, I-QoL, OABSS, PPBC score, type I muscle myoelectric value, Qavg and Qmax were significantly improved in both groups compared with baseline (P＜0.05). After 6 weeks of intervention, the I-QoL score was significantly higher in the AI guidance group than in the routine guidance group[81.82 (79.55, 84.38) vs.77.84 (75.00, 79.55) ], with significant difference (P＜0.05). Compared with the routine guidance group, the AI guidance group showed significant improvements in myoelectric values in the pre-resting, post-resting, type I muscle and endurance testing phases (P＜0.05). Conclusion The AI-based pelvic floor optimization training system can effectively assist clinicians in guiding patients to complete pelvic floor optimization training, improve rehabilitation efficiency and efficacy of independent exercise, and reduce dependence on specialized clinicians, which exhibits favorable safety.

ObjectiveTo investigate the efficacy and safety of simplified diagnosis and treatment strategies and regimens in the treatment of patients with human immunodeficiency virus （HIV）/hepatitis C virus （HCV） co-infection. MethodsThis multicenter prospective real-world study was conducted among 198 patients with HIV/HCV co-infection who received hepatitis C treatment in 10 designated primary hospitals for hepatitis C in Yuxi， China from July 2023 to June 2024， and according to whether genotype detection was performed， they were divided into genotype detection group with 122 patients and non-genotype detection group with 76 patients. The patients were observed in terms of sustained virologic response at 12 weeks （SVR12）， safety， and liver biochemical parameters. Propensity score matching was used to match the two cohorts， using caliper matching （caliper value = 0.02） at a ratio of 1∶1. The independent-samples t test or the Wilcoxon signed-rank test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between groups. ResultsAmong the 122 patients in the genotype detection group， 63.11% （77/122） had genotype 3， while the non-genotype detection group had 76 patients； both groups achieved an SVR12 rate of 100%. From baseline to 12 weeks after treatment， both groups had a significant increase in the serum level of albumin， significant reductions in the serum levels of total bilirubin， alanine aminotransferase， aspartate aminotransferase， and alpha-fetoprotein， and a significant reduction in FibroScan value （all P<0.05）. A total of 54 patients （27.27%） experienced at least one adverse reaction， and anemia was the most common adverse reaction （38 patients， 19.19%）， with an incidence rate of 50.00% （33/66） in patients with liver cirrhosis. HIV viral load remained <50 IU/mL before and after treatment， and there was no significant change in CD4⁺ T lymphocyte count after treatment （Z=-0.969， P=0.202）. Compared with the genotype detection group， the non-genotype detection group had a significantly shorter time from positive HCV RNA testing to treatment initiation （4±2 days vs 19±4 days， t=5.321， P<0.05） and significantly lower testing costs （618±97 yuan vs 789±129 yuan， t=3.661， P<0.05）. ConclusionFor patients with HIV/HCV co-infection， the simplified diagnosis and treatment strategies can achieve a relatively high SVR12 rate， improve biochemical indicators， and effectively reduce time cost and economic burden， with a favorable safety profile.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome