BACKGROUND: Whether adherence to a healthy lifestyle is associated with a lower risk of developing pneumonia and a better long-term prognosis remains unclear. This study aimed to investigate associations of individual and combined lifestyle factors (LFs) with the incidence risk and long-term prognosis of pneumonia hospitalization. METHODS: Using data from the China Kadoorie Biobank study, we used the multistate models to investigate the role of five high-risk LFs, including smoking, excessive alcohol drinking, unhealthy dietary habits, physical inactivity, and unhealthy body shape, alone or in combination in the transitions from a generally healthy state at baseline to pneumonia hospitalization or cardiovascular disease (CVD, regarded as a reference outcome), and subsequently to mortality. RESULTS: Most of the five high-risk LFs were associated with increased risks of transitions from baseline to pneumonia and from pneumonia to death, but with different risk estimates. The greater the number of high-risk LFs, the higher the risk of developing pneumonia and long-term mortality risk after pneumonia, with the strength of associations comparable to that of LFs and CVD. Compared to participants with 0-1 high-risk LF, the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for transitions from baseline to pneumonia and from pneumonia to death in those with five high-risk LFs were 1.43 (1.28-1.60) and 1.98 (1.61-2.42), respectively. Correspondingly, the respective HRs (95% CIs) for transitions from baseline to CVD and from CVD to death were 2.00 (1.89-2.11) and 1.44 (1.30-1.59), respectively. The risk estimates changed slightly when further adjusting for the presence of major chronic diseases. CONCLUSION In this Chinese population, unhealthy LFs were associated with an increased incidence and long-term mortality risk of pneumonia.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; China/epidemiology* ; Life Style ; Pneumonia/etiology* ; Prognosis ; Risk Factors ; Smoking

The ability of cells to sense and adapt to metabolic changes and environmental variations is essential for their functions. Recent advances in synthetic biology have uncovered increasing mechanisms through which cells detect changes in metabolism and environmental conditions, leading to broader applications. However, a systematic review on the regulation of cellular metabolism and environmental adaption is currently lacking. This article presents a comprehensive overview of this field from three perspectives. First, it introduces key transmembrane and sensor proteins involved in the cellular perception of metabolic and environmental changes. Next, it summarizes the adaptive regulation mechanisms that natural cells employ when confronted with intracellular and extracellular metabolic changes. Finally, the review explores the application scenarios based on cellular adaptive regulation in three aspects: dynamic control, rational metabolic engineering, and adaptive evolution and makes an outlook on the future development directions in this field. This review not only provides a comprehensive perspective on the mechanisms by which cells sense metabolic and environmental variations, but also lays a theoretical foundation for further innovations in the field of synthetic biology. With the continuous advancement of future technologies, a deeper understanding of cellular adaptive regulation mechanisms holds great potential to drive the development and application of novel biomanufacturing platforms.
Adaptation, Physiological ; Synthetic Biology ; Metabolic Engineering/methods* ; Environment ; Bacteria/genetics*

Objective To explore the impact of ondansetron's use within 24 h before delirium assess-ment in ICU patients on the risk of delirium occurrence.Methods All data were derived from the Critical Care Medical Information Database(MIMIC)-Ⅲ,MIMIC-Ⅳ and the eICU Collaborative Research Database.The research subjects were the patients who were admitted to ICU for treatment for the first time and had re-cords of delirium assessment.The research variable was whether ondansetron was used within 24 h before de-lirium assessment.The main observation indicator was whether delirium occurred after the patient entering to ICU,and whether the patient died during hospitalization or was discharged and returned home was taken as the secondary observation indicator.The propensity score matching eliminated confounding factors,and the stepwise logistic regression and nearest neighbor matching were used to analyze the influencing factors.Results A total of 78 364 patients had the delirium assessment records,among them 22 158 patients had the positive assessment results.A total of 294 patients who used ondansetron within 24 h before delirium assess-ment were taken as the ondansetron group,and 78 070 patients who did not use ondansetron were taken as the control group.Propensity score matching corrected most of the covariates between the two groups.The results of multivariate logistic regression analysis showed that the use of ondansetron was a protective factor for the delirium occurrence(OR=0.72,95％CI:0.53-0.96),and the results of nearest neighbor matching analysis also supported this association(OR=0.48,95％CI:0.31-0.76).However,the use of ondansetron had no effect on the outcome of in-hospital death or discharge home for critically ill patients(P＞0.05).Conclusion Ondansetron may be an effective drug for the prevention or treatment of delirium in critically ill patients.

Peripheral vascular intervention involves multi-site and complex vascular lesions.The construction of a realistic model and the implementation of surgical simulation with the help of simulation medical technology can be applied to the training of interventional physicians and the optimization of individualized treatment strategies for patients.In order to adapt to the simulation scenarios of different blood vessels and achieve the required simulation effects,there have already been many reports concerning the construction of peripheral vascular models and clinical applications,such as the construction of animal models and cadaver models,the application of virtual reality simulators,the construction of different types of 3D printing vascular models,etc.This paper aims to make a detailed review about the methods of constructing these models and the research progress in the individualized diagnosis and treatment of patients.

Objective To analyze the incidence,colonization pathways,and predictive factors of bacterial colonization of epidural analgesia catheters in patients with chronic pain.Methods A total of 150 patients with chronic pain who underwent continuous epidural catheterization(catheter in-dwelling time of 7 to 10 days)were selected as study subjects.Samples from three sites were collect-ed for bacterial culture.Clinical data of the patients were collected,and the positive rate of bacterial culture,characteristics of bacterial species distribution,and bacterial colonization pathways were ana-lyzed.The efficacy of predictive factors was assessed using the receiver operating characteristic(ROC)curve.Results The positive rates of bacterial culture in samples from the skin swabbing fluid around the puncture site,the subcutaneous segment of the catheter,and the catheter tip were 22.0％,7.3％,and 8.7％,respectively.Staphylococcus epidermidis was the predominant colonizing bacterial species.Spearman correlation coefficient analysis showed a significant correlation between the results of bacterial culture from the skin around the puncture site and catheter tip colonization(r=0.47,P＜0.01).ROC curve analysis revealed that the area under the curve of bacterial culture results from the skin around the puncture site in predicting catheter tip bacterial colonization was 0.843,with a sensitivity of 84.9％and a specificity of 84.6％.Conclusion Bacterial migra-tion along the catheter is the main pathway for catheter tip bacterial colonization,and the results of bacterial culture from the skin around the puncture site are an effective predictive factor for the risk of bacterial colonization.

In recent years,the field of nucleic acid therapeutics has been flourishing,progressively establishing itself as the third generation of drug modalities following small molecules and antibody-based drugs.Artificial intelligence technology based on machine learning is advancing rapidly,which can significantly accelerate the development process of nucleic acid therapeutics.This review provides an overview of the foundational aspects of artificial intelligence algorithms,databases,and characterizations in the field of nucleic acid drug development.It elucidates the advances in the application of artificial intelligence in nucleic acid structural prediction,small nucleic acid drug design,and other research and development phases of nucleic acid therapeutics,aiming to offer some reference for the interdisciplinary development of artificial intelligence and nucleic acid drugs.

Objective To observe the value of clinical and CT radiomics features for predicting microsatellite instability-high(MSI-H)status of gastric cancer.Methods Totally 150 gastric cancer patients including 30 cases of MSI-H positive and 120 cases of MSI-H negative were enrolled and divided into training set(n=105)or validation set(n=45)at the ratio of 7∶3.Based on abdominal vein phase enhanced CT images,lesions radiomics features were extracted and screened,and radiomics scores(Radscore)was calculated.Clinical data and Radscores were compared between MSI-H positive and negative patients in training set and validation set.Based on clinical factors and Radscores being significant different between MSI-H positive and negative ones,clinical model,CT radiomics model and clinical-CT radiomics combination model were constructed,and their predictive value for MSI-H status of gastric cancer were observed.Results Significant differences of tumor location and Radscore were found between MSI-H positive and negative patients in both training and validation sets(all P＜0.05).The area under the curve(AUC)of clinical model,CT radiomics model and combination model for evaluating MSI-H status of gastric cancer in training set was 0.760,0.799 and 0.864,respectively,of that in validation set was 0.735,0.812 and 0.849,respectively.AUC of clinical-CT radiomics combination model was greater than that of the other 2 single models(all P＜0.05).Conclusion Clinical-CT radiomics combination model based on tumor location and Radscore could effectively predict MSI-H status of gastric cancer.

【Objective】 To investigate the efficacy and surgical technique of total laparoscopic radical cystectomy with intracorporeal ileal conduit urinary diversion, so as to provide reference for the selection of surgery for patients with bladder cancer. 【Methods】 Clinical data of 48 patients with bladder cancer who underwent laparoscopic radical cystectomy during Mar.2017 and Aug.2022 in our hospital were retrospectively analyzed, including 23 cases who received traditional laparoscopic radical cystectomy combined with extracorporeal ileal conduit, and 25 who received total laparoscopic radical cystectomy with intracorporeal ileal conduit.The operation time, blood loss, postoperative intestinal function recovery time, drainage tube removal time and hospital stay were compared between the two groups. 【Results】 All procedures were successfully performed, and no Clavien-Dindo>grade 3 complications were observed.The operation time, and amount of estimated blood loss of the traditional group and total laparoscopic radical group were (227.0±46.4) min vs. (253.6±58.9) min, and (131.7±79.8) mL vs. (154.0±93.0) mL, respectively.There were no differences in postoperative intestinal function recovery time and drainage tube removal time (P>0.05).The hospital stay was shorter in the total laparoscopic radical group than in the traditional group (P=0.035). 【Conclusion】 Total laparoscopic radical cystectomy with intracorporeal ileal conduit urinary diversion is safe and feasible.which is comparable to the traditional laparoscopic surgery, while the hospital stay in the total laparoscopic group is shorter, which is conducive to rapid postoperative recovery.

Humans ; Endoscopic Ultrasound-Guided Fine Needle Aspiration ; Pancreatic Neoplasms ; Pancreas ; Needles