Objective To analyze the application effects of artificial intelligence (AI) software and Mimics software in preoperative three-dimensional (3D) reconstruction for thoracoscopic anatomical pulmonary segmentectomy. Methods A retrospective analysis was conducted on patients who underwent thoracoscopic pulmonary segmentectomy at the Second People's Hospital of Huai'an from October 2019 to March 2024. Patients who underwent AI 3D reconstruction were included in the AI group, those who underwent Mimics 3D reconstruction were included in the Mimics group, and those who did not undergo 3D reconstruction were included in the control group. Perioperative related indicators of each group were compared. Results A total of 168 patients were included, including 73 males and 95 females, aged 25-81 (61.61±10.55) years. There were 79 patients in the AI group, 53 patients in the Mimics group, and 36 patients in the control group. There were no statistical differences in gender, age, smoking history, nodule size, number of lymph node dissection groups, postoperative pathological results, or postoperative complications among the three groups (P>0.05). There were statistical differences in operation time (P<0.001), extubation time (P<0.001), drainage volume (P<0.001), bleeding volume (P<0.001), and postoperative hospital stay (P=0.001) among the three groups. There were no statistical differences in operation time, extubation time, bleeding volume, or postoperative hospital stay between the AI group and the Mimics group (P>0.05). There was no statistical difference in drainage volume between the AI group and the control group (P=0.494), while there were statistical differences in operation time, drainage tube retention time, bleeding volume, and postoperative hospital stay (P<0.05). Conclusion For patients requiring thoracoscopic anatomical pulmonary segmentectomy, preoperative 3D reconstruction and preoperative planning based on 3D images can shorten the operation time, postoperative extubation time and hospital stay, and reduce intraoperative bleeding and postoperative drainage volume compared with reading CT images only. The use of AI software for 3D reconstruction is not inferior to Mimics manual 3D reconstruction in terms of surgical guidance and postoperative recovery, which can reduce the workload of clinicians and is worth promoting.

Objective To analyze the correlation between serum cystatin C (Cys-C) and bone turnover markers in elderly patients with type 2 diabetes mellitus (T2DM) and osteoporosis. Methods A retrospective analysis was conducted on the data of 320 elderly patients with T2DM admitted to Huai'an First People's Hospital from August 2021 to June 2024. Patients were divided into the osteoporosis group and the non-osteoporosis group according to whether they had osteoporosis. General information, bone turnover markers, and serum Cys-C levels were collected from all patients. The data were compared between the two groups to analyze the influencing factors of osteoporosis in elderly patients with T2DM and the correlation between serum Cys-C and bone turnover markers. Results The levels of total cholesterol and LDL-C in the osteoporosis group were higher than those in the non-osteoporosis group, and the bone mineral density was lower than that in the non-osteoporosis group (P<0.05). The levels of TPINP, β-CTX, and Cys-C in the osteoporosis group were higher than those in the non-osteoporosis group, and 25-OH-D3 level was lower than that in the non-osteoporosis group (P<0.05). Serum Cys-C was positively correlated with TPINP and β-CTX, and negatively correlated with 25-OH-D₃ (P<0.05). Multivariate logistic regression analysis found that total cholesterol, LDL-C, TPINP, β-CTX, 25-OH-D₃, and Cys-C were factors influencing osteoporosis in elderly patients with T2DM (P<0.05). Conclusion Serum Cys-C levels in elderly patients with T2DM and osteoporosis are elevated. There is a significant correlation between Cys-C level and bone turnover markers.

Objective To investigate the factors affecting the occurrence of new postoperative cardiac complications in patients undergoing esophageal cancer surgery with concomitant coronary heart disease. Methods Clinical data of patients who underwent esophageal cancer surgery with coronary heart disease at the Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University from December 2019 to June 2023 were collected. Patients were divided into two groups based on whether they experienced postoperative cardiac complications. Using the occurrence of cardiac complications as the dependent variable, a multivariate logistic regression model was established to identify related influencing factors. Results A total of 223 patients were included, comprising 148 males and 75 females, with an average age of (71.78±6.31) years (range 53-88 years). Seventy-one (31.84%) patients experienced at least one new cardiac complication postoperatively, including 2 acute coronary syndrome, 13 heart failure, and 59 new-onset postoperative arrhythmias. Univariate analysis showed that age, systemic immune-inflammation index, pulmonary infection, need for invasive mechanical ventilation due to respiratory failure, acute respiratory distress syndrome (ARDS), acute delirium, pleural effusion requiring drainage, and acute renal failure were risk factors for postoperative new-onset cardiac complications (all P<0.05). Multivariate logistic regression analysis identified age, postoperative length of hospital stay, ARDS, and systemic immune-inflammation index as independent risk factors for new cardiac complications in esophageal cancer patients with coronary heart disease. Conclusion Strengthening perioperative management of esophageal cancer patients, ranging from preoperative evaluation to postoperative complication treatment, is crucial. Particular attention should be paid to age, ARDS, and other indicators to improve postoperative prognoses in patients with coronary heart disease complicated by esophageal cancer.

Blood turbidity and collateral disease are closely related to each other as the important component parts of the theoretical system of modern traditional Chinese medicine (TCM). The former focuses on blood and the latter on blood vessels and collaterals. By integrating these two theories, a theoretical basis for TCM syndrome differentiation and treatment of modern diseases can be provided. This article summarizes the correlation of origin, concept, treatment method and representative drugs of two theories, and points out that both blood turbidity and collateral disease prospers and develops through the integration of TCM classical theory and modern medical achievements. Theoretically, blood turbidity is the cause of collateral disease, and collateral disease is the result of aggravated blood turbidity. In many metabolic diseases, blood turbidity and collateral disease actually correspond to the main features of the early and late stages of the same disease, respectively. In treatment, clearing blood turbidity is consistent with dredging collaterals. When clearing blood turbidity, it is necessary to dredge the collaterals, and when dredging the collaterals, it is necessary to clear the blood turbidity. In terms of prescription and medication, Huazhuo Xingxue Decoction is the representative prescription of blood turbidity, which can be combined with Ramulus Cinnamomi, Sichuan lovage rhizome, earthworm, and other dredging collateral drugs. The representative prescription for collateral disease is Tongxinluo Capsule, which can be combined with lotus leaf, Fructus Crataegi, cassia seed, and other turbid-clearing drugs to enhance the curative effect.

Objective    To investigate the radiomics features to distinguish invasive lung adenocarcinoma with micropapillary or solid structure. Methods    A retrospective analysis was conducted on patients who received surgeries and pathologically confirmed invasive lung adenocarcinoma in our hospital from April 2016 to August 2019. The dataset was randomly divided into a training set [including a micropapillary/solid structure positive group (positive group) and a micropapillary/solid structure negative group (negative group)] and a testing set (including a positive group and a negative group) with a ratio of 7∶3. Two radiologists drew regions of interest on preoperative high-resolution CT images to extract radiomics features. Before analysis, the intraclass correlation coefficient was used to determine the stable features, and the training set data were balanced using synthetic minority oversampling technique. After mean normalization processing, further radiomics features selection was conducted using the least absolute shrinkage and selection operator algorithm, and a 5-fold cross validation was performed. Receiver operating characteristic (ROC) curves were depicted on the training and testing sets to evaluate the diagnostic performance of the radiomics model. Results    A total of 340 patients were enrolled, including 178 males and 162 females with an average age of 60.31±6.69 years. There were 238 patients in the training set, including 120 patients in the positive group and 118 patients in the negative group. There were 102 patients in the testing set, including 52 patients in the positive group and 50 patients in the negative group. The radiomics model contained 107 features, with the final 2 features selected for the radiomics model, that is, Original_ glszm_ SizeZoneNonUniformityNormalized and Original_ shape_ SurfaceVolumeRatio. The areas under the ROC curve of the training and the testing sets of the radiomics model were 0.863 (95%CI 0.815-0.912) and 0.857 (95%CI 0.783-0.932), respectively. The sensitivity was 91.7% and 73.7%, the specificity was 78.8% and 84.0%, and the accuracy was 85.3% and 78.4%, respectively. Conclusion    There are differences in radiomics features between invasive pulmonary adenocarcinoma with or without micropapillary and solid structures, and the radiomics model is demonstrated to be with good diagnostic value.

The assessment of adverse drug events is an important basis for clinical safety evaluation and post-marketing risk control of drugs,and its causality assessment is gaining increasing attention.The existing methods for assessing the causal relationship between drugs and the occurrence of adverse reactions can be broadly classified into three categories:global introspective methods,standardized methods,and probabilistic methods.At present,there is no systematic introduction of the operational details of the various methods in the domestic literature.This paper compares representative causality assessment methods in terms of definition and concept,methodological steps,industry evaluation and advantages and disadvantages,clarifies the basic process of determining the causality of adverse drug reactions,and discusses how to further improve the adverse drug reaction monitoring and evaluation system,with a view to providing a reference for drug development and pharmacovigilance work in China.

Objective To investigate the effect of rutin on pyroptosis of nucleus pulposus cells in rats with intervertebral disc degeneration and its mechanism at cellular level.Methods Rat interdisc nucleus pulposus cells were randomly divided into control group,model group[interleukin-1β(IL-1β)induction],experiment-L group(25 μmol·L-1 rutin+10 ng·mL-1 IL-1β),experiment-M group(50 μmol·L-1 rutin+10ng·mL-1IL-1β),experiment-H group(100 μmol·L-1 rutin+10 ng·mL-1 IL-1 β),experiment-H+SRT1720 agonist group[100 μmol·L-1 rutin+10 ng·mL-1 IL-1 β+1 μmol·L-1 silent information regulator 1(SIRT1)agonist SRT1720].Real-time quantitative polymerase chain reaction(RT-qPCR)assay and Western blot assay were used to detect the expression of related genes and proteins;cell count kit-8(CCK-8)assay and enzyme-linked immunosorbent assay were used to detect the expression of cell viability and inflammatory factors,respectively.Results The cell activities of control group,model group,experimental-H group and experimental-H+SIRT1 agonist group were(100.00±3.56)％,(47.30±2.58)％,(57.33±3.41)％,(66.15±4.85)％,(76.78±2.83)％and(85.84±4.84)％;SIRT1 mRNA expression levels were 1.00±0.12,0.25±0.02,0.39±0.04,0.52±0.03,0.67±0.08 and 0.83±0.09;tumor necrosis factor-α(TNF-α)expression level were(15.03±1.21),(126.50±8.84),(112.60±12.29),(83.71±6.85),(53.88±3.43)and(28.19±4.02)pg·mL-1;the relative expression levels of PTEN-induced putative kinase 1(PINK1)protein were 0.30±0.03,0.26±0.04,0.39±0.04,0.65±0.06,0.89±0.12 and 1.28±0.08;the relative expression levels of gasdermin D-N(GSDMD-N)were 0.38±0.02,1.20±0.08,0.89±0.06,0.69±0.07,0.53±0.05 and 0.40±0.03,respectively.Compared with the model group,the above indexes in the experimental-H group were statistically different(all P＜0.05).There were statistically significant differences in the above indexes between the experimental-H+SIRT1 agonist group and the experimental-H group(all P＜0.05).Conclusion Rutin can induce mitochondrial autophagy by activating SIRT1,inhibit pyroptosis of nucleus pulposus cells and alleviate intervertebral disc degeneration in rats.

Thioredoxin-1(Trx-1)is a petite redox protein primarily encountered in mammalian cells.It responds to alterations in the redox environment by facilitating electron transfer and regulating associated proteins.This paper provides a concise overview of Trx-1,focusing on its altered expression patterns during cerebral ischemia.The emphasis is on its neuroprotective attributes following cerebral ischemia,encompassing anti-oxidation,anti-inflammation,anti-apoptosis,promotion of cell growth,angiogenesis,and its involvement in cerebral ischemia-related pathologies.

A liquid chromatography-tandem mass spectrometry(LC-MS/MS)method was developed for determination of three kinds of β-agonists(Clenbuterol(CL),Ractopamine(RAC)and Salbutamol(SAL))residues in animal liver samples.The liver sample homogenates were extracted with organic solvent,followed by clean-up using the automatic magnetic solid-phase extraction(MSPE),and then analyzed using LC-MS/MS.The results showed that the magnetic mixed-mode cation exchange adsorbent(M-MCX)exhibited 34%higher adsorption capacity than the conventional mixed-mode cation exchange(MCX)column.Furthermore,the clean-up was conducted by using an automatic MSPE device,and 8 samples could be simultaneously treated within 30 min.The limits of detection(LOD)were 0.01-0.1 μg/kg,the average recoveries ranged from 88.2%to 110.5%,and the relative standard deviations(RSDs)were in range of 2.9%-10.3%at three spiked levels for the three kinds of β-agonists.Compared with the traditional SPE technique,the present method had many advantages such as simple operation,rapidity and high efficiency,which was suitable for high-throughput and automatic detection of residues in routine analysis.

Objective To investigate the correlations between IgM deposition levels,glomerular ultra-structural and clinicopathological features in primary IgA nephropathy(IgAN).Methods Data from 155 IgAN patients were categorized into three cohorts by IgM deposition levels.We assessed differences in glomerular ultra-structure,clinical indices,MEST-C scores,and factors influencing IgM deposition levels.Results The marked IgM cohort showed higher urinary protein,IgG deposition,and T scores,with reduced serum albumin and lympho-cyte counts(P<0.05).Logistic regression identified FPE and T score as independent factors for IgM deposition.Conclusions IgM deposition correlates with FPE severity in IgAN,suggesting its utility in assessing renal dam-age and guiding treatment strategies.