Ecological cultivation is an important way for the sustainable production of traditional Chinese medicine in the context of the carbon peaking and carbon neutrality goals. Facility cultivation and simulative habitat cultivation modes have been developed and applied to develop the endangered Dendrobium huoshanense on the basis of protection. However, the differences in the greenhouse gas emissions and global warming potential of these cultivation modes remain unexplored, which limits the accurate assessment of carbon-friendly ecological cultivation modes of D. huoshanense. Greenhouse gas emission flux monitoring based on the static chamber method provides an effective way to solve this problem. Therefore, this study conducted a field experiment in the facility cultivation and simulative habitat cultivation modes at a D. huoshanense cultivation base in Dabie Mountains, Anhui Province. From April 2023 to March 2024, samples of greenhouse gases were collected every month, and the concentrations of CO_2, CH_4, and N_2O of the samples were then detected by gas chromatography. The greenhouse gas emission fluxes, cumulative emissions, and global warming potential were further calculated, and the following results were obtained.(1)The two cultivation modes of D. huoshanense showed significant differences in greenhouse gas emission fluxes, especially the CO_2 emission flux, with a pattern of facility cultivation>simulative habitat cultivation [(35.60±11.70)mg·m~(-2)·h~(-1) vs(2.10±4.59)mg·m~(-2)·h~(-1)].(2) The annual cumulative CO_2 emission flux in the case of facility cultivation was significantly higher than that of simulative habitat cultivation[(3 077.00±842.00)kg·hm~(-2) vs(221.00±332.00)kg·hm~(-2)], while no significant difference was found in annual cumulative CH_4 and N_2O emission fluxes.(3) The facility cultivation mode had a significantly higher global warming potential than the simulative habitat cultivation mode [(3 053.00±847.00)kg·hm~(-2) vs(196.00±362.00)kg·hm~(-2)]. Overall, the simulative habitat cultivation of D. huoshanense has obvious carbon-friendly characteristics compared with facility cultivation, which is in line with the concept of ecological cultivation of medicinal plants. This study is of great reference significance for the implementation and promotion of the ecological cultivation mode of D. huoshanense under carbon peaking and carbon neutrality goals.
Dendrobium/chemistry* ; Greenhouse Gases/metabolism* ; Carbon/analysis* ; Ecosystem ; Carbon Dioxide/metabolism* ; China ; Global Warming

Objective:To analyze the frailty status and its influencing factors among middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province.Methods:A cross-sectional study was conducted using a multi-stage random cluster sampling method in the settlements of the Zhiguo ethnic groups in Yunnan Province from July to December in 2022. The study enrolled a total of 1 036 middle-aged and elderly individuals aged 45 years and above. Data on general characteristics (including chronic disease prevalence, sleep quality, smoking and alcohol consumption) and frailty status were collected in the subjects. A total of 1 050 questionnaires were distributed, 1 040 questionnaires returned with 1 036 valid responses (98.7%). Logistic regression analysis was performed to identify factors influencing frailty status among different Zhiguo ethnic groups.Results:Among the 1 036 middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province, there were 482 males and 554 females, with a frailty rate of 26.25% (272/1 036), the Bulang ethnic group had the highest frailty rate (35.56%) and the Jinuo ethnic group showed the lowest (18.49%). Being aged≥60 years ( OR=1.647, 95% CI: 1.177-2.303), having≥2 chronic diseases ( OR=2.183, 95% CI: 1.470-3.245), and suffering from sleep disorders ( OR=2.468, 95% CI: 1.786-3.411) were positively associated with frailty occurrence, whereas having high social support ( OR=0.614, 95% CI: 0.434-0.867) was inversely associated with the risk of frailty (all P<0.05). Ethnic subgroup analyses revealed that suffering from sleep disorders were a common influencing factor for frailty across all Zhiguo ethnic groups (all P<0.05). In the Jinuo ethnic group, having≥2 chronic diseases showed a positive association with frailty ( OR=3.387, 95% CI: 1.054-10.879) ( P<0.05). In the Bulang subgroup, having≥2 chronic diseases ( OR=3.951, 95% CI: 1.201-12.995) and aged ≥60 years ( OR=3.415, 95% CI: 1.347-8.657) were both positively associated with frailty, while having high social support ( OR=0.185, 95% CI: 0.065-0.527) was inversely associated with the risk of frailty (all P<0.05). Conclusion:The frailty rate in middle-aged and elderly individuals among Zhiguo ethnic groups in Yunnan Province is notably high, and sleep quality, social support, and chronic conditions are its main influencing factors.

Objective:To explore the incidence status,influencing factors and short-term prognosis characteristics of early onset coronary heart disease in women in Wansheng District of Chongqing,and to provide scientific basis for formulating regional prevention and treatment strategies.Methods:This study was a single-center retrospective study,100 coronary heart disease in women from January 2022 to December 2023 at Chongqing Wansheng Economic and Technological Development Zone People's Hospital were prospective selected,and they were divided into early onset group of 40 cases(≤ 65 years old)and late onset group of 60 cases(＞65 years old)based on their age of onset.Another 60 healthy women who underwent physical examinations during the same period to exclude coronary heart disease were selected as the control group.Univariate factor and multiple factor logistic regression analysis were used to identify independent risk factors for early onset coronary heart disease in women.Draw receiver operating characteristic(ROC)curve for the subjects,the efficacy of risk factors in predicting early onset coronary heart disease based on the area under the curve(AUC)of ROC curve were evaluated.Patients were followed up for 1 year to observe the occurrence of major adverse cardiovascular events(MACE).Result:Among 100 fcoronary heart disease in women,the early onset group accounted for 40.00％(40/100).Univariate analysis showed that age,hyperlipidemia history,smoking history,hypertension history,family history,diabetes history,total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C)were related to the early onset coronary heart disease.Multivariate analysis showed that,hyperlipidemia history(OR=4.124,95％CI:2.343-7.217),smoking history(OR=3.564),hypertension(OR=3.253),family history(OR=2.981),diabetes history(OR=2.873)were independent risk factors.ROC curve analysis results showed that joint evaluation had the best predictive value,with AUC of 0.829,which was higher than the AUC of individual evaluation for each factor.The incidence of MACE in the early onset group(45.00％)was significantly higher than that in the late onset group(P＜0.05).Conclusion:Early onset coronary heart disease in women in Wansheng District of Chongqing is related to the hyperlipidemia history,smoking,hypertension history,family history and diabetes history.The incidence of MACE in early-onset patients followed up for 1 year is higher than that in late-onset patients.

Objective:To explore the incidence status,influencing factors and short-term prognosis characteristics of early onset coronary heart disease in women in Wansheng District of Chongqing,and to provide scientific basis for formulating regional prevention and treatment strategies.Methods:This study was a single-center retrospective study,100 coronary heart disease in women from January 2022 to December 2023 at Chongqing Wansheng Economic and Technological Development Zone People's Hospital were prospective selected,and they were divided into early onset group of 40 cases(≤ 65 years old)and late onset group of 60 cases(＞65 years old)based on their age of onset.Another 60 healthy women who underwent physical examinations during the same period to exclude coronary heart disease were selected as the control group.Univariate factor and multiple factor logistic regression analysis were used to identify independent risk factors for early onset coronary heart disease in women.Draw receiver operating characteristic(ROC)curve for the subjects,the efficacy of risk factors in predicting early onset coronary heart disease based on the area under the curve(AUC)of ROC curve were evaluated.Patients were followed up for 1 year to observe the occurrence of major adverse cardiovascular events(MACE).Result:Among 100 fcoronary heart disease in women,the early onset group accounted for 40.00％(40/100).Univariate analysis showed that age,hyperlipidemia history,smoking history,hypertension history,family history,diabetes history,total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C)were related to the early onset coronary heart disease.Multivariate analysis showed that,hyperlipidemia history(OR=4.124,95％CI:2.343-7.217),smoking history(OR=3.564),hypertension(OR=3.253),family history(OR=2.981),diabetes history(OR=2.873)were independent risk factors.ROC curve analysis results showed that joint evaluation had the best predictive value,with AUC of 0.829,which was higher than the AUC of individual evaluation for each factor.The incidence of MACE in the early onset group(45.00％)was significantly higher than that in the late onset group(P＜0.05).Conclusion:Early onset coronary heart disease in women in Wansheng District of Chongqing is related to the hyperlipidemia history,smoking,hypertension history,family history and diabetes history.The incidence of MACE in early-onset patients followed up for 1 year is higher than that in late-onset patients.

Objective:To analyze the frailty status and its influencing factors among middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province.Methods:A cross-sectional study was conducted using a multi-stage random cluster sampling method in the settlements of the Zhiguo ethnic groups in Yunnan Province from July to December in 2022. The study enrolled a total of 1 036 middle-aged and elderly individuals aged 45 years and above. Data on general characteristics (including chronic disease prevalence, sleep quality, smoking and alcohol consumption) and frailty status were collected in the subjects. A total of 1 050 questionnaires were distributed, 1 040 questionnaires returned with 1 036 valid responses (98.7%). Logistic regression analysis was performed to identify factors influencing frailty status among different Zhiguo ethnic groups.Results:Among the 1 036 middle-aged and elderly individuals of Zhiguo ethnic groups in Yunnan Province, there were 482 males and 554 females, with a frailty rate of 26.25% (272/1 036), the Bulang ethnic group had the highest frailty rate (35.56%) and the Jinuo ethnic group showed the lowest (18.49%). Being aged≥60 years ( OR=1.647, 95% CI: 1.177-2.303), having≥2 chronic diseases ( OR=2.183, 95% CI: 1.470-3.245), and suffering from sleep disorders ( OR=2.468, 95% CI: 1.786-3.411) were positively associated with frailty occurrence, whereas having high social support ( OR=0.614, 95% CI: 0.434-0.867) was inversely associated with the risk of frailty (all P<0.05). Ethnic subgroup analyses revealed that suffering from sleep disorders were a common influencing factor for frailty across all Zhiguo ethnic groups (all P<0.05). In the Jinuo ethnic group, having≥2 chronic diseases showed a positive association with frailty ( OR=3.387, 95% CI: 1.054-10.879) ( P<0.05). In the Bulang subgroup, having≥2 chronic diseases ( OR=3.951, 95% CI: 1.201-12.995) and aged ≥60 years ( OR=3.415, 95% CI: 1.347-8.657) were both positively associated with frailty, while having high social support ( OR=0.185, 95% CI: 0.065-0.527) was inversely associated with the risk of frailty (all P<0.05). Conclusion:The frailty rate in middle-aged and elderly individuals among Zhiguo ethnic groups in Yunnan Province is notably high, and sleep quality, social support, and chronic conditions are its main influencing factors.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To analyze the characteristics of healthcare-associated infection(HAI)in patients in liver transplantation intensive care unit(ICU),and provide basis for the effective prevention and control of liver post-transplantation infection.Methods Targeted surveillance data of HAI in liver transplantation ICU from 2018 to 2022 were analyzed retrospectively.Incidence,incidence trend,infection site,pathogens and drug resistance were analyzed.Results A total of 3 762 liver transplantation patients were surveilled,106 patients developed 133 cases of HAI,with an incidence of 2.82％and a case incidence of 3.54％.There was no significant difference among the years(P=0.473).Infection mainly occurred within 2 weeks after admission to ICU,accounting for 85.85％.The main infection sites included blood system(26.32％),respiratory system(22.56％),and surgical site(19.55％).The average utilization rates of central veinous catheterization,urethral catheterization,and ventilator were 85.77％,70.58％,and 40.83％,respectively.The incidences of central line-associated bloodstream infection(CLABSI),catheter-associated urinary tract infection(CAUTI),and ventilator-associated pneumonia(VAP)were 0.54‰,0.33‰,and 1.84‰,respectively.A total of 131 strains of pathogens were detected,of which Gram-negative bac-teria accounted for 38.17％and Gram-positive bacteria accounted for 29.77％.The top three pathogens were Kleb-siella pneumoniae(15.27％),Enterococcus faecium(11.45％),and Acinetobacter baumannii(9.16％).Conclusion Effective prevention and control measures should be taken based on the characteristics of HAI in the liver transplan-tation ICU,so as to curb bacterial resistance and reduce liver post-transplantation HAI.

Objective To analyze the characteristics of healthcare-associated infection(HAI)in patients in liver transplantation intensive care unit(ICU),and provide basis for the effective prevention and control of liver post-transplantation infection.Methods Targeted surveillance data of HAI in liver transplantation ICU from 2018 to 2022 were analyzed retrospectively.Incidence,incidence trend,infection site,pathogens and drug resistance were analyzed.Results A total of 3 762 liver transplantation patients were surveilled,106 patients developed 133 cases of HAI,with an incidence of 2.82％and a case incidence of 3.54％.There was no significant difference among the years(P=0.473).Infection mainly occurred within 2 weeks after admission to ICU,accounting for 85.85％.The main infection sites included blood system(26.32％),respiratory system(22.56％),and surgical site(19.55％).The average utilization rates of central veinous catheterization,urethral catheterization,and ventilator were 85.77％,70.58％,and 40.83％,respectively.The incidences of central line-associated bloodstream infection(CLABSI),catheter-associated urinary tract infection(CAUTI),and ventilator-associated pneumonia(VAP)were 0.54‰,0.33‰,and 1.84‰,respectively.A total of 131 strains of pathogens were detected,of which Gram-negative bac-teria accounted for 38.17％and Gram-positive bacteria accounted for 29.77％.The top three pathogens were Kleb-siella pneumoniae(15.27％),Enterococcus faecium(11.45％),and Acinetobacter baumannii(9.16％).Conclusion Effective prevention and control measures should be taken based on the characteristics of HAI in the liver transplan-tation ICU,so as to curb bacterial resistance and reduce liver post-transplantation HAI.

Along with the progress of pharmaceutical science in the past century, the theme of pharmacology has gone through pseudo agent scheme, to ligand-receptor model, and then to the theory of targeted therapy today. Due to the success of drug R&D, current drug research keeps its focus mainly on drugs with single target and precise treatment, in which the molecular mechanism is relatively clear but the therapeutic efficacy is often limited. Thus, there is a big space for exploration in the field of pharmacology. In the past 30 years, several novel chemical drugs, originated from traditional Chinese medicine, have been identified and then used in clinic, provoking a strong interest to explore new theory for pharmacology, of which the term of "Biao Ben Jian Zhi" (treating diseases by directing symptoms and root causes) has demonstrated a promising nature. We consider this concept useful for future drug discovery, drug design and clinical therapy. In this review, example drugs such as berberine, metformin and azvudine, are discussed, and "drug Cloud" (dCloud) model is introduced to elaborate the mechanism of treating diseases by directing symptoms and root causes of diseases.