Objective To evaluate the impact of healthcare-associated infection(HAI)control culture construction on the hand hygiene(HH)compliance of health care workers(HCWs),and provide a basis for strengthening HAI management.Methods HCWs in a hospital in Xi'an City were selected as the research objects.On the occasion of World HH Day,a series of publicity activities on HH as well as HAI prevention and control were held.Pre-activi-ties period was April 1-30,2024.During May 1-31,2024,a series of publicity activities on HH as well as HAI prevention and control were carried out.The post-activities investigation period was June 1-30,2024.During De-cember 1-31,2024,HH compliance survey was carried out in batches in the whole hospital(including key depart-ments).HH compliance at different stages was compared.Results After a series of publicity activities on HH as well as HAI prevention and control,HCWs'HH compliance rate was improved.HH compliance rate of nursing staff increased from 70.15％to 85.11％;HH compliance rate of HCWs before contacting with patients increased from 47.83％to 78.38％;both with statistically significant difference(both P＜0.05).During December 1-31,2024,a batch survey on HH compliance of the whole hospital(including key departments)showed that the HH compliance rates of medical and nursing staff in key departments were higher than those of the whole hospital,and the differences were statistically significant(all P＜0.05).HH compliance rates before aseptic operation and after contacting with patients in key departments were both higher than those of the whole hospital,and the differences were statistically significant(all P＜0.05).Conclusion Publicity activities on HH as well as HAI prevention con-trol can improve HH compliance rate of HCWs.HAI managers should pay more attention to the general depart-ments and improve HH compliance rate of HCWs.

The traditional Chinese medicine(TCM) industry is a crucial part of China's pharmaceutical sector and plays a strategic role in ensuring public health and promoting economic and social development. In response to the practical demand for high-quality development of the TCM industry, this paper focused on the bottlenecks encountered during the digital and intelligent transformation of TCM production systems. Specifically, it explored technical strategies and methodologies for constructing the best TCM production mode. An innovative artificial intelligence(AI)-centered technical architecture for TCM production was proposed, focusing on key aspects of production management including process modeling, state evaluation, and decision optimization. Furthermore, a series of critical technologies were developed to realize the best TCM production mode. Finally, a novel AI-driven TCM production mode characterized by a closed-loop system of "measurement-modeling-decision-execution" was presented through engineering case studies. This study is expected to provide a technological pathway for developing new quality productive forces within the TCM industry.
Artificial Intelligence ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional/methods* ; Humans

Central nervous system(CNS)degenerative disorders refer to a spectrum of pathological alterations triggered by struc-tural damage to cerebral neural tissues,clinically manifested as diverse neurological dysfunction syndromes,including multiple sclerosis(MS),neurodegenerative diseases(NDs),and ische-mic stroke.The hallmark pathological features of these disorders involve irreversible neuronal damage and decompensation of functional neural networks,ultimately leading to progressive neurological deficits.Notably,with the accelerating global popu-lation aging,the incidence of these diseases has surged signifi-cantly.According to WHO statistics,they now rank among the top three global causes of disability and mortality.Current re-search has confirmed that the pathogenesis of CNS degenerative disorders exhibits high heterogeneity,encompassing multifaceted pathophysiological processes such as genetic predisposition,oxi-dative stress,protein misfolding,and metabolic dysregulation.This intricate pathogenic network not only complicates clinical differential diagnosis but also poses substantial challenges to the development of precision therapeutic strategies.Importantly,re-cent studies have revealed that mitochondrial homeostasis disrup-tion-induced inflammatory cascades(termed mitochondrial in-flammation)play a pivotal regulatory role in neurodegenerative progression.Key molecular mechanisms include impaired mito-phagy,aberrant mitochondrial DNA(mtDNA)release and NL-RP3 inflammasome activation.This review systematically deci-phers the molecular regulatory network of mitochondrial inflam-mation,with a focus on its biological effects in critical pathologi-cal events such as blood-brain barrier disruption,microglial hy-peractivation and neuronal apoptosis.The overarching aim is to provide a theoretical foundation for developing innovative thera-peutic strategies targeting mitochondrial homeostasis restoration.

Objective:To analyze the influencing factors of postoperative intestinal adhesion in patients undergoing laparoscopic cholecystectomy(LC),and to construct a nomogram prediction model based on this.Methods:A total of 265 patients who underwent LC in our hospital from November 2021 to March 2025 were retrospectively selected and randomly divided into a training set(185 cases)and a validation set(80 cases)according to the ratio of 7∶3.According to the presence or absence of postoperative intestinal adhesion,185 patients in the training set were divided into occur-rence group(28 cases)and non-occurrence group(157 cases).In the validation set,13 cases occurred and 67 cases did not occur.The clinical data of patients were collected to analyze the influencing factors of postoperative intestinal adhe-sion,and a nomogram model was constructed based on this.The receiver operating characteristic(ROC)curve was used to analyze the predictive efficacy of the prediction model on the risk of postoperative intestinal adhesion.Decision curve analysis(DCA)was used to analyze the clinical benefit of the prediction model.Result:The proportion of patients aged≥65 years,complicated with diabetes,indwelling drainage tube,residual abdominal infection,and WBC level in the occurrence group were higher than those in the non-occurrence group(P<0.05).Logistic regression analysis showed that age(OR=3.025,95%CI:1.453-6.296),diabetes(OR=3.836,95%CI:1.557-9.450),indwelling drainage tube(OR=5.312,95%CI:1.898-14.864)and residual abdominal infection(OR=6.174,95%CI:2.914-13.079)were independent influencing factors for postoperative intestinal adhesion(P<0.05).The corresponding risk rate of the nomogram model based on Logistic results ranged from 0.10 to 0.80,and the C-index was 0.842(95%CI:0.765-0.919).The calibration curve of predicting postoperative intestinal adhesion was close to the ideal curve(P>0.05).The ROC of the training set showed that the sensitivity and specificity of the model in predicting postoperative intestinal adhesion were 85.70%and 88.50%,respectively,and the area under the curve(AUC)was 0.882(P<0.05).In the validation set,the sensitivity,speci-ficity and AUC of ROC curve were 81.30%,84.10%and 0.860(P<0.05),respectively.DCA curve showed that the pre-diction model could obtain the maximum clinical benefit at the threshold probability of 0-0.23.Conclusion:The pre-diction model based on age,diabetes,indwelling drainage tube and residual abdominal infection has a good predictive value for the risk of intestinal adhesion after LC.

Objective:To analyze the influencing factors of postoperative intestinal adhesion in patients undergoing laparoscopic cholecystectomy(LC),and to construct a nomogram prediction model based on this.Methods:A total of 265 patients who underwent LC in our hospital from November 2021 to March 2025 were retrospectively selected and randomly divided into a training set(185 cases)and a validation set(80 cases)according to the ratio of 7∶3.According to the presence or absence of postoperative intestinal adhesion,185 patients in the training set were divided into occur-rence group(28 cases)and non-occurrence group(157 cases).In the validation set,13 cases occurred and 67 cases did not occur.The clinical data of patients were collected to analyze the influencing factors of postoperative intestinal adhe-sion,and a nomogram model was constructed based on this.The receiver operating characteristic(ROC)curve was used to analyze the predictive efficacy of the prediction model on the risk of postoperative intestinal adhesion.Decision curve analysis(DCA)was used to analyze the clinical benefit of the prediction model.Result:The proportion of patients aged≥65 years,complicated with diabetes,indwelling drainage tube,residual abdominal infection,and WBC level in the occurrence group were higher than those in the non-occurrence group(P<0.05).Logistic regression analysis showed that age(OR=3.025,95%CI:1.453-6.296),diabetes(OR=3.836,95%CI:1.557-9.450),indwelling drainage tube(OR=5.312,95%CI:1.898-14.864)and residual abdominal infection(OR=6.174,95%CI:2.914-13.079)were independent influencing factors for postoperative intestinal adhesion(P<0.05).The corresponding risk rate of the nomogram model based on Logistic results ranged from 0.10 to 0.80,and the C-index was 0.842(95%CI:0.765-0.919).The calibration curve of predicting postoperative intestinal adhesion was close to the ideal curve(P>0.05).The ROC of the training set showed that the sensitivity and specificity of the model in predicting postoperative intestinal adhesion were 85.70%and 88.50%,respectively,and the area under the curve(AUC)was 0.882(P<0.05).In the validation set,the sensitivity,speci-ficity and AUC of ROC curve were 81.30%,84.10%and 0.860(P<0.05),respectively.DCA curve showed that the pre-diction model could obtain the maximum clinical benefit at the threshold probability of 0-0.23.Conclusion:The pre-diction model based on age,diabetes,indwelling drainage tube and residual abdominal infection has a good predictive value for the risk of intestinal adhesion after LC.

Central nervous system(CNS)degenerative disorders refer to a spectrum of pathological alterations triggered by struc-tural damage to cerebral neural tissues,clinically manifested as diverse neurological dysfunction syndromes,including multiple sclerosis(MS),neurodegenerative diseases(NDs),and ische-mic stroke.The hallmark pathological features of these disorders involve irreversible neuronal damage and decompensation of functional neural networks,ultimately leading to progressive neurological deficits.Notably,with the accelerating global popu-lation aging,the incidence of these diseases has surged signifi-cantly.According to WHO statistics,they now rank among the top three global causes of disability and mortality.Current re-search has confirmed that the pathogenesis of CNS degenerative disorders exhibits high heterogeneity,encompassing multifaceted pathophysiological processes such as genetic predisposition,oxi-dative stress,protein misfolding,and metabolic dysregulation.This intricate pathogenic network not only complicates clinical differential diagnosis but also poses substantial challenges to the development of precision therapeutic strategies.Importantly,re-cent studies have revealed that mitochondrial homeostasis disrup-tion-induced inflammatory cascades(termed mitochondrial in-flammation)play a pivotal regulatory role in neurodegenerative progression.Key molecular mechanisms include impaired mito-phagy,aberrant mitochondrial DNA(mtDNA)release and NL-RP3 inflammasome activation.This review systematically deci-phers the molecular regulatory network of mitochondrial inflam-mation,with a focus on its biological effects in critical pathologi-cal events such as blood-brain barrier disruption,microglial hy-peractivation and neuronal apoptosis.The overarching aim is to provide a theoretical foundation for developing innovative thera-peutic strategies targeting mitochondrial homeostasis restoration.

Objective To evaluate the impact of healthcare-associated infection(HAI)control culture construction on the hand hygiene(HH)compliance of health care workers(HCWs),and provide a basis for strengthening HAI management.Methods HCWs in a hospital in Xi'an City were selected as the research objects.On the occasion of World HH Day,a series of publicity activities on HH as well as HAI prevention and control were held.Pre-activi-ties period was April 1-30,2024.During May 1-31,2024,a series of publicity activities on HH as well as HAI prevention and control were carried out.The post-activities investigation period was June 1-30,2024.During De-cember 1-31,2024,HH compliance survey was carried out in batches in the whole hospital(including key depart-ments).HH compliance at different stages was compared.Results After a series of publicity activities on HH as well as HAI prevention and control,HCWs'HH compliance rate was improved.HH compliance rate of nursing staff increased from 70.15％to 85.11％;HH compliance rate of HCWs before contacting with patients increased from 47.83％to 78.38％;both with statistically significant difference(both P＜0.05).During December 1-31,2024,a batch survey on HH compliance of the whole hospital(including key departments)showed that the HH compliance rates of medical and nursing staff in key departments were higher than those of the whole hospital,and the differences were statistically significant(all P＜0.05).HH compliance rates before aseptic operation and after contacting with patients in key departments were both higher than those of the whole hospital,and the differences were statistically significant(all P＜0.05).Conclusion Publicity activities on HH as well as HAI prevention con-trol can improve HH compliance rate of HCWs.HAI managers should pay more attention to the general depart-ments and improve HH compliance rate of HCWs.

Humans ; Air Pollutants/adverse effects* ; Genotype ; China/epidemiology* ; Hypertension/epidemiology*

Objective To evaluate the impact of poor sleep quality on occurrence of post-traumatic stress disorder(PTSD)in trauma patients.Methods We prospectively recruited 256 trauma patients hospitalized in 4 general hospitals in Zunyi during the period from October,2021 to November,2022,and 226 of the participants completed the PTSD survey and assessment.The patients'sleep quality within a month before trauma was estimated using Pittsburgh Sleep Quality Index(PSQI),and their sleep quality within 7 days after admission was monitored by smart bracelet sleep monitoring;the PTSD Checklist-Civilian Version(PCL-C)was used to detect the occurrence of PTSD during the follow-up.Results The detection rate of PTSD in the patients was 19.47%at 1 month and 17.61%at 3 months after trauma.The patients who developed PTSD had poorer sleep quality before the trauma,as shown by significantly higher PSQI scale scores(P<0.001),than those without PTSD,and they showed a sleep abnormality rate as high as 72.73%prior to PTSD onset.Within 7 days after admission,the patients developing PTSD had lower sleep quality scores with more frequent night awakenings(P<0.05).A 1 month and 3 months after trauma,the patients with PTSD had significantly higher PSQI scores than those without PTSD(P<0.05).Conclusion PTSD is more likely to occur in trauma patients with poor sleep quality before trauma.

Objective To evaluate the impact of poor sleep quality on occurrence of post-traumatic stress disorder(PTSD)in trauma patients.Methods We prospectively recruited 256 trauma patients hospitalized in 4 general hospitals in Zunyi during the period from October,2021 to November,2022,and 226 of the participants completed the PTSD survey and assessment.The patients'sleep quality within a month before trauma was estimated using Pittsburgh Sleep Quality Index(PSQI),and their sleep quality within 7 days after admission was monitored by smart bracelet sleep monitoring;the PTSD Checklist-Civilian Version(PCL-C)was used to detect the occurrence of PTSD during the follow-up.Results The detection rate of PTSD in the patients was 19.47%at 1 month and 17.61%at 3 months after trauma.The patients who developed PTSD had poorer sleep quality before the trauma,as shown by significantly higher PSQI scale scores(P<0.001),than those without PTSD,and they showed a sleep abnormality rate as high as 72.73%prior to PTSD onset.Within 7 days after admission,the patients developing PTSD had lower sleep quality scores with more frequent night awakenings(P<0.05).A 1 month and 3 months after trauma,the patients with PTSD had significantly higher PSQI scores than those without PTSD(P<0.05).Conclusion PTSD is more likely to occur in trauma patients with poor sleep quality before trauma.