Objective To explore the clinical efficacy of robot-assisted coronary artery bypass grafting through a small incision in the left intercostal space in the treatment of multivessel coronary disease. Methods A retrospective analysis was conducted on the clinical data of patients who underwent coronary artery bypass grafting through a small incision in the left intercostal space at Central China Fuwai Hospital of Zhengzhou University from January 1, 2023 to October 15, 2024. Patients were divided into a robotic group and a minimally invasive group based on whether the surgery was assisted by the Da Vinci robot. Results A total of 81 patients were included, with 57 in the minimally invasive group, including 41 males and 16 females, with a median age of 65.0 (57.5, 69.5) years; and 24 in the robotic group, including 17 males and 7 females, with a median age of 61.0 (56.0, 69.0) years. There was no statistically significant difference in baseline data between the two groups (P>0.05). The robotic group had less intraoperative bleeding [300 (200, 438) mL vs. 500 (375, 600) mL, P=0.006], shorter postoperative mechanical ventilation time [15.0 (13.3, 23.5) h vs. 22.0 (15.5, 39.5) h, P=0.037], and lower incidence of postoperative pain [8 (33.3%) vs. 33 (57.9%), P=0.043]. The hospitalization cost in the robotic group was higher than that in the minimally invasive group [130491 (123298, 135691) yuan vs. 123892 (115543, 133449) yuan, P=0.023]. There was no statistical difference in postoperative laboratory indicators between the two groups (P>0.05). There was also no statistical difference in the duration of surgery, postoperative 24 h drainage volume, ICU stay time, postoperative hospital stay or incidences of perioperative compications including pleural effusion, transfusion, new-onset atrial fibrillation, acute kidney injury, non-union of incision, major cardiovascular and cerebrovascular adverse events, and reoperation between the two groups (P>0.05). Conclusion Compared with the minimally invasive group, the robotic group shows satisfactory efficacy and can effectively reduce postoperative pain and intraoperative bleeding, and shorten postoperative mechanical ventilation time.

Objective To compare and analyze the early- to mid-term outcomes of transcatheter aortic valve replacement (TAVR) combined with percutaneous coronary intervention (PCI) versus surgical aortic valve replacement (SAVR) combined with coronary artery bypass grafting (CABG) for the treatment of significant aortic stenosis (AS) and coronary artery disease (CAD). Methods The data of patients with significant AS and CAD who underwent surgical treatment at Central China Fuwai Hospital of Zhengzhou University from January 2018 to July 2023 were collected. These patients were divided into a TAVR+PCI group and a SAVR+CABG group according to the operation method. Propensity score matching (PSM) was used to select patients with close clinical baseline characteristics, and the early- to mid-term outcomes of the two groups were compared. Results A total of 272 patients were enrolled, including 208 males and 64 females, with a mean age of (64.16±8.24) years. There were 47 patients in the TAVR+PCI group and 225 patients in the SAVR+CABG group. After 1 : 1 PSM, 32 pairs were selected. There was no statistical difference in baseline data between the two groups (P>0.05). Compared with the SAVR+CABG group, the TAVR+PCI group had significantly shorter operative time, mechanical ventilation time, ICU stay, postoperative hospital stay, and less intraoperative bleeding, and significantly lower postoperative transfusion and complete revascularization rates (P<0.05). The differences in the rates of postoperative in-hospital death, myocardial infarction, stroke, or other complications between the two groups were not statistically significant (P>0.05), and the differences in the rates of moderate-to-severe perivalvular leakage, death, or readmission in the mid-term follow-up were not statistically significant (P>0.05). Conclusion In patients with significant AS and CAD, the early- and mid-term rates of death and complications are similar between those treated with TAVR+PCI and SAVR+CABG, and TAVR+PCI is a safe alternative to SAVR+CABG.

Objective To compare perioperative outcomes of minimally invasive aortic valve surgery by a right anterior minithoracotomy (RAMT) and conventional sternotomy. Methods A retrospective analysis of patients who underwent isolated aortic valve surgeries in Central China Fuwai Hospital of Zhengzhou University between May 2021 and August 2023 with a minimal incision via the RAMT approach (a RAMT group) or conventional incision via the full sternotomy approach (a conventional group). A propensity score matching analysis was performed to balance preoperative data and compare perioperative data of the two groups. Results There were 58 patients in the RAMT group, including 46 males and 12 females with an average age of (52.0±14.1) years; 128 patients were enrolled in the conventional group, including 87 males and 41 females with an average age of (60.0±12.4) years. After propensity-score matching, there were 51 patients in each group. The RAMT group had a longer average operation time, cross-clamping time and cardiopulmonary bypass time compared to the conventional group (all P<0.05). However, ICU length of stay, ventilator-assisted time and postoperative hospital stay were significantly shorter in the RAMT group (all P<0.05). Patients in the RAMT group had lower 24 hour chest drain output (P<0.05). RAMT was associated with a trend towards a lower blood transfusion rate in comparison to the sternotomy group, although this was not statistically significant (P>0.05). The occurrence of all-cause death, and perioperative complications was also similar in both groups (P>0.05). Conclusion RAMT has less trauma, faster recovery, less postoperative drainage, and shorter hospital stay than conventional approach. RAMT in patients undergoing isolated aortic valve surgery is a safe approach.

In the process of tumor chemotherapy， the emergence of multi-drug resistance （MDR） has always been a thorny problem， which is a result of the joint action of the host， tumor cells， and the immune microenvironment. Tumor cells can escape the toxicity of chemotherapeutic drugs through multiple pathways， being easy to produce drug resistance. MDR greatly restricts the effect of chemotherapeutic drugs on tumor cells and affects their therapeutic effects. Traditional Chinese medicine （TCM） has the unique advantages of multi-target， multi-pathway and individualized treatment. The TCM treatment of tumors emphasizes regulating Yin and Yang， as well as reinforcing healthy Qi and dispelling pathogen. In recent years， TCM has demonstrated remarkable efficacy in the treatment of tumors and the amelioration of multi-drug resistance. TCM not only can target the phenomenon of MDR but also greatly weakens the side effects of the patients after the chemotherapy， thus improving the survival quality and rate of the patients. Accordingly， many patients adopt TCM as an adjuvant therapy during or after chemotherapy. The binding of TCM to targets can reverse the drug resistance of various tumors， which has become an emerging research highlight. From the regulatory mechanism of TCM on MDR of tumors， this paper introduces the mechanisms by which tumor cells continue to grow， proliferate， and metastasize by adjusting the intracellular drug concentration， altering or utilizing the tumor microenvironment， and affecting the cell death mode to achieve the resistance to chemotherapeutic drugs. In this regard， the active ingredients and compound prescriptions of TCM can increase the sensitivity of chemotherapeutic drugs by down-regulating drug transporters， improving the tumor microenvironment， and modulating the drug resistance pathways associated with apoptosis， autophagy， ferroptosis， or pyroptosis. The aim of this paper is to explore more clinical practical value of TCM in the treatment of tumors and provide exploratory ideas and a theoretical basis for the future research on tumors and MDR.

Adverse drug reactions (ADRs) significantly impact clinical medication safety. The timely identification and prediction of ADRs rely on the efficient analysis of real-world data, such as electronic health records, social media, and spontaneous reporting databases. In recent years, the rapid advancement of artificial intelligence, particularly large language models, in natural language processing, causal reasoning, and complex data mining has provided new technological means for real-time ADRs monitoring and individualized prediction. This paper summarizes the latest research achievements in AI-driven ADRs monitoring. Focusing on diverse data sources, including structured databases and electronic health records, it elaborates on the advantages andchallenges of AI in ADRs event extraction, relationship identification, causal analysis, and risk prediction. The aim is to provide a theoretical reference for constructing more intelligent and efficient ADRs monitoring systems.

The Guidelines for Occupational Hazard Assessment and Control of Active Pharmaceutical Ingredient in the Pharmaceutical Industry (T/WSJD 60—2024) is the first guiding standard in the field of health in China that focuses on occupational health protection for active pharmaceutical ingredient (API). It covers the general principles, work procedures, assessment methods, and control strategies for API occupational hazard assessment, providing practical guidance and recommendations for pharmaceutical enterprises to eliminate or reduce occupational health risks associated with API, improve working environment, and enhance refined management practices. This article interpreted and analyzed the background of standard establishment, formulation process, fundamental basis, and main content, to provide scientific and comprehensive technical support for occupational health managers in the pharmaceutical industry to better apply this standard.

Objective To investigate the relationship between platelet distribution width(PDW)and coronary artery calcification(CAC)in overweight and obese populations.Methods Clinical and chest CT data of 10 838 subjects with overweight or obesity(body mass index[BMI]≥24 kg/m2)were retrospectively analyzed.The subjects were divided into CAC group(n=4 237)and non-CAC group(n=6 601)based on CAC scores obtained from chest CT.The relationship between PDW and CAC in overweight and obese populations was analyzed after controlling confounding variables.A threshold effect analysis was conducted using a two-stage logistic model to find the non-linear inflection point.Subgroup analyses and interaction tests were conducted to validate the stability of the relationship between PDW and CAC.Results Non-linear relationship was observed between PDW and CAC risk in overweight and obese populations.The risk of CAC decreased with the increase of PDW which ≤17.80％(OR=0.82),but increased with the increase of PDW(OR=1.04)which＞17.80％.Subgroup analysis showed that the relationship between PDW and CAC remained stable in subgroups of different genders,BMI(＜28 kg/m2,≥28 kg/m2)and hypertension(all P＞0.05).Compared with aged＜40 years or ≥60 years subgroups,under the same PDW,aged≥40 and＜60 years subgroups had higher risk of CAC(interaction P=0.015).Conclusion Nonlinear relationship existed between PDW and CAC in overweight and obese populations.Both excessively high and low PDW were risk factors of CAC.

Objective:To explore the early predictive value of the triglyceride-glucose (TyG) index and the controlling nutritional status (CONUT) score for severe acute pancreatitis (SAP).Methods:Clinical data from 1 050 hospitalized patients with acute pancreatitis (AP) at the General Hospital of Central Theater Command between January 2019 and December 2023 were retrospectively analyzed. Patients were categorized into mild acute pancreatitis (MAP) group ( n=606), moderately severe acute pancreatitis (MSAP) group ( n=320), and SAP group ( n=124) based on AP severity. General clinical data, laboratory parameters, modified computed tomography severity index (MCTSI), bedside index for severity in acute pancreatitis (BISAP), TyG index, and CONUT score were compared among the three groups. Spearman correlation analysis was used to evaluate the relationship between TyG index, CONUT score and AP severity. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for AP severity. Receiver operating characteristic curves (ROC) were plotted to calculate the area under the curve (AUC), sensitivity, and specificity for evaluating the predictive efficacy of TyG index, CONUT score, and their combination for SAP. Results:Significant differences on TyG index and CONUT score were observed among AP patients with varying severity (all P value <0.001). Spearman correlation analysis further revealed positive correlations of TyG index ( r=0.174), CONUT score ( r=0.306) with AP severity (both P<0.001). Multivariate logistic regression identified neutrophil count ( OR=1.076, 95% CI 1.027-1.125), MCTSI ( OR=2.565, 95% CI 2.250-2.921), BISAP ( OR=3.522, 95% CI 2.726-4.549), TyG index ( OR=1.859, 95% CI 1.276-2.707), and CONUT score ( OR=1.155, 95% CI 1.035-1.288) as independent risk factors for AP severity. The combined predictive model equation was: -7.342+0.76×TyG+0.439×CONUT. ROC analysis showed that the AUC values of the TyG index, CONUT score, and the combined index (TyG index+CONUT score) were 0.583 (95% CI 0.529-0.637), 0.701 (95% CI 0.652-0.75), and 0.755 (95% CI 0.710-0.801), with sensitivities of 0.706, 0.677, and 0.742, and specificities of 0.884, 0.629, and 0.657, respectively (all P value <0.05). Conclusions:TyG index and CONUT score are positively correlated with AP severity and may serve as reliable predictors for SAP. Their combination could enhance the predictive accuracy for AP.

Objective:To explore the early predictive value of the triglyceride-glucose (TyG) index and the controlling nutritional status (CONUT) score for severe acute pancreatitis (SAP).Methods:Clinical data from 1 050 hospitalized patients with acute pancreatitis (AP) at the General Hospital of Central Theater Command between January 2019 and December 2023 were retrospectively analyzed. Patients were categorized into mild acute pancreatitis (MAP) group ( n=606), moderately severe acute pancreatitis (MSAP) group ( n=320), and SAP group ( n=124) based on AP severity. General clinical data, laboratory parameters, modified computed tomography severity index (MCTSI), bedside index for severity in acute pancreatitis (BISAP), TyG index, and CONUT score were compared among the three groups. Spearman correlation analysis was used to evaluate the relationship between TyG index, CONUT score and AP severity. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for AP severity. Receiver operating characteristic curves (ROC) were plotted to calculate the area under the curve (AUC), sensitivity, and specificity for evaluating the predictive efficacy of TyG index, CONUT score, and their combination for SAP. Results:Significant differences on TyG index and CONUT score were observed among AP patients with varying severity (all P value <0.001). Spearman correlation analysis further revealed positive correlations of TyG index ( r=0.174), CONUT score ( r=0.306) with AP severity (both P<0.001). Multivariate logistic regression identified neutrophil count ( OR=1.076, 95% CI 1.027-1.125), MCTSI ( OR=2.565, 95% CI 2.250-2.921), BISAP ( OR=3.522, 95% CI 2.726-4.549), TyG index ( OR=1.859, 95% CI 1.276-2.707), and CONUT score ( OR=1.155, 95% CI 1.035-1.288) as independent risk factors for AP severity. The combined predictive model equation was: -7.342+0.76×TyG+0.439×CONUT. ROC analysis showed that the AUC values of the TyG index, CONUT score, and the combined index (TyG index+CONUT score) were 0.583 (95% CI 0.529-0.637), 0.701 (95% CI 0.652-0.75), and 0.755 (95% CI 0.710-0.801), with sensitivities of 0.706, 0.677, and 0.742, and specificities of 0.884, 0.629, and 0.657, respectively (all P value <0.05). Conclusions:TyG index and CONUT score are positively correlated with AP severity and may serve as reliable predictors for SAP. Their combination could enhance the predictive accuracy for AP.

Objective To investigate the relationship between platelet distribution width(PDW)and coronary artery calcification(CAC)in overweight and obese populations.Methods Clinical and chest CT data of 10 838 subjects with overweight or obesity(body mass index[BMI]≥24 kg/m2)were retrospectively analyzed.The subjects were divided into CAC group(n=4 237)and non-CAC group(n=6 601)based on CAC scores obtained from chest CT.The relationship between PDW and CAC in overweight and obese populations was analyzed after controlling confounding variables.A threshold effect analysis was conducted using a two-stage logistic model to find the non-linear inflection point.Subgroup analyses and interaction tests were conducted to validate the stability of the relationship between PDW and CAC.Results Non-linear relationship was observed between PDW and CAC risk in overweight and obese populations.The risk of CAC decreased with the increase of PDW which ≤17.80％(OR=0.82),but increased with the increase of PDW(OR=1.04)which＞17.80％.Subgroup analysis showed that the relationship between PDW and CAC remained stable in subgroups of different genders,BMI(＜28 kg/m2,≥28 kg/m2)and hypertension(all P＞0.05).Compared with aged＜40 years or ≥60 years subgroups,under the same PDW,aged≥40 and＜60 years subgroups had higher risk of CAC(interaction P=0.015).Conclusion Nonlinear relationship existed between PDW and CAC in overweight and obese populations.Both excessively high and low PDW were risk factors of CAC.