Objective:To investigate the effect of CT-derived fractional flow reserve (CT-FFR) measurement sites on the values and the diagnostic performance, and to determine the optimal measurement site for CT-FFR using invasive FFR as the reference standard.Methods:This study was part of the CT-FFR CHINA clinical trial. Patients with suspected coronary artery disease who were scheduled for invasive coronary angiography (ICA) were prospectively recruited from five clinical centers across the country from November 2018 to March 2020. Each enrolled patient underwent coronary CT angiography (CCTA), CT-FFR, ICA, and invasive pressure wire-based FFR assessments sequentially within one week. Four groups of CT-FFR values were obtained on each enrolled target vessels according to different CT-FFR measurement locations: 1, 2, 3 cm distal to the target lesion, and terminal vessel groups. Spearman and Bland-Altman analyses were used to explore the correlation and consistency of CT-FFR values and FFR values at different measurement sites. The measurement deviation of CT-FFR was also compared. Diagnostic accuracy and performance of CT-FFR, including sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUC), in discriminating myocardial ischemia were analyzed across all measurement site groups on a per-vessel level, using FFR as the reference standard.Results:A total of 289 patients with 345 target lesion vessels were included. According to CCTA, there were 51 target vessels (14.8%) with<50% stenosis, 106 vessels (30.7%) with 50%-69% stenosis, and 188 vessels (54.5%) with stenosis≥70%. At per-vessel level, CT-FFR and FFR values at each measurement position group were highly positively correlated: 1 cm distal to target lesion group, r=0.734 ( P<0.001); 2 cm distal to target lesion group, r=0.732 ( P<0.001); 3 cm distal to target lesion group, r=0.737 ( P<0.001); terminal vessel group was 0.719 ( P<0.001). At per-vessel level, CT-FFR and FFR values of all measurement sites were in good agreement (Bland-Altman analysis results): 1 cm distal to target lesion group, 0.014 (95% LoA 0.002-0.026); 2 cm distal to target lesion group, 0.026 (95% LoA 0.015-0.038); 3 cm distal to target lesion group, 0.040 (95% LoA 0.039-0.051); terminal vessel group, 0.075 (95% LoA 0.064-0.087). And at per-vessel level, the accuracy of diagnosing myocardial ischemia with CT-FFR at 1 cm was highest [84.6% (95% CI 80.4%-88.3%)], and the lowest accuracy in the terminal vessel group [67.0% (95% CI 61.7%-72.0%)]. However, there was no significant difference in the diagnostic accuracy of CT-FFR at 1 cm, 2 cm [80.6% (95% CI 76.1%-84.6%)] and 3 cm [77.5% (95% CI 72.6%-81.7%)]. AUC of CT-FFR at 1 cm distal to the lesion were both highest for global level and moderately stenosis (50%-69%) lesions [0.85 (95% CI 0.81-0.89), 0.84 (95% CI 0.77-0.90)]. And the differences were statistically significant among the four measurement location groups (all P<0.05). Conclusions:The deviation of CT-FFR increases with measurement site distance distal to target lesions. One centimeter distal to the target lesion is the optimal measurement site, and the CT-FFR value here shows the highest diagnostic performance for myocardial ischemic lesions, especially for moderate stenosis.

Objective To observe the effect of emodin on lung injury in rats with stroke associated pneumonia(SAP)through regulating Janus kinase 2(JAK2)/signal transducer and activators of transcription 3(STAT3)signaling pathway.Methods The SAP rat model was established by modified thread embolization method combined with intratracheal injection of Pseudomonas aeruginosa method.The successfully modeled rats were randomly divided into model group,emodin low-and high-dose groups and emodin high-dose+coumermycin(JAK2 activator)group,with 12 rats in each group,and another 12 SD rats were selected as the sham-operated group.After the intervention,the partial pressure of arterial blood gas indexes such as carbon dioxide(PaCO2)and partial pressure of oxygen(PaO2)were measured,the ratio of lung wet/dry mass(W/D)was determined,the inflammatory cell count in the bronchoalveolar lavage fluid(BALF)was detected,the histopathological feature in the lung tissues was observed by hematoxylin-eosin(HE)staining and the pathological injury was scored,enzyme-linked immunosorbent assay(ELISA)was used to detect myeloperoxidase(MPO)activity in the lung tissues and interleukin 6(IL-6)and cyclooxygenase 2(COX-2)levels in BALF and serum,and Western Blot was used to detect the expression of JAK2/STAT3 pathway key proteins in lung tissues.Results Compared with the sham-operated group,the model group rats showed that more obvious pathological injury in lung tissues was seen,and PaCO2 value,ratio of lung W/D,white blood cell count and eosinophils count in BALF,pathological injury score,MPO activity in lung tissues,IL-6 and COX-2 levels in BALF and serum,and ratios of p-JAK2/JAK2 and p-STAT3/STAT3 in lung tissues were significantly increased,and PaO2 value was significantly decreased,the differences being statistically significant(P<0.05);compared with the model group,the emodin low-and high-dose groups rats showed that the pathological injury in lung tissues was reduced,PaCO2 value,ratio of lung W/D,white blood cell count and eosinophils count in BALF,pathological injury score,MPO activity in lung tissues,IL-6 and COX-2 levels in BALF and serum,and ratios of p-JAK2/JAK2 and p-STAT3/STAT3 in lung tissues were all decreased,and PaO2 value was increased,the differences being statistically significant(P<0.05),and the improvement effect was more stronger in high-dose emodin group;coumermycin attenuated the improvement effect of emodin on the above various indexes in the model rats.Conclusion Emodin can reduce the inflammation levels in SAP rats through inhibiting the activation of JAK2/STAT3 signaling pathway,thus reducing the lung tissue damage and improving the lung function of rats.

Objective:To systematically evaluate the risk prediction models for refeeding syndrome in critically ill patients in China and abroad, with the aim of providing feasible risk assessment tools for clinical healthcare professionals.Methods:A computerized search of PubMed, Embase, Web of Science, Cochrane Library, CINAHL, Proquest, Scopous, China Biomedical Literature Database, China National Knowledge Infrastructure (CNKI), Wanfang, and VIP was conducted for relevant literature from database inception to July 1, 2024. Two researchers independently reviewed the literature and extracted the relevant information. Quality assessment was performed using a risk of bias assessment tool specifically designed for predictive modeling.Results:A total of 8 papers were included, reporting 8 risk prediction models for refeeding syndrome in critically ill patients, with sample sizes ranging from 109 to 806 cases, outcome event rates from 22.5% to 69.8%, and area under the curve values from 0.74 to 0.95. The most frequently reported predictors included albumin (ALB), pre-albumin (PAB), blood potassium, use of diuretics, and Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) scores.Conclusions:The risk prediction models for refeeding syndrome in critically ill patients have good predictive performance but are still in the development stage. A high-quality, low-bias clinically applicable model should be established through multicenter, large-sample, and standardized studies.

Objective To investigate the clinical application value of the combined detection of fecal syndecan 2(SDC2)and tissue factor pathway inhibitor 2(TFPI2)gene methylation in the diagnosis of colorectal cancer and advanced adenoma.Methods 124 pa-tients with colorectal lesions,including 43 colorectal cancer,52 advanced adenoma,and 29 non-advanced adenoma,and 46 patients with other gastrointestinal diseases such as colorectal inflammatory diseases,ulcers,etc.,who visited 5 hospitals in Zhengzhou from 2020 to 2023 were enrolled as the disease group.In addition,78 healthy individuals who underwent physical examinations in the same period were selected as the healthy control group.Their fecal samples were collected before undergoing colonoscopy,and the methyla-tion levels of SDC2 and TFPI2 genes were detected using the quantitative methylation-specific PCR(qMSP).Results The positive rates of the combined detection of SDC2 and TFPI2 gene methylation in the colorectal cancer group and advanced adenoma group(95.34％and 88.46％)were significantly higher than those in the non-advanced adenoma group(48.27％,x2=18.75/13.63,P＜0.05)and healthy controls(3.84％,x2=96.38/91.54,P＜0.05).In the colorectal cancer group,the postoperative positive rate of the combined detection in 34 patients with positive methylation of SDC2 and TFPI2(5.88％)was significantly lower than the preoperative positive rate(95.34％,x2=54.74,P＜0.05).Moreover,the mean Ct values of methylation of SDC2 and TFPI2 genes(32.38±3.72 and 31.85±3.21)in the colorectal cancer group were significantly lower than that in the advanced adenoma group(35.07±3.09 and 34.96±2.78,t=3.84 and 5.05,P＜0.05).The analysis results of the ROC curve showed that the sensitivities of SDC2,TFPI2,and their combination detection in the diagnosis of colorectal cancer were 86.40％,88.37％,and 89.35％,respectively,while in differenti-ating advanced adenoma they were 73.52％,66.73％,and 80.15％,respectively.The combined detection of SDC2 and TFPI2 in differ-entiating colorectal cancer and advanced adenoma achieved the highest diagnostic efficacy(AUCROC=0.889 and 0.738,respectively).Conclusion The combined detection of methylation of SDC2 and TFPI2 genes in fecal samples has high diagnostic value for colorectal cancer and advanced adenomas,and also has certain clinical application value for the progression and postoperative monitoring of the disease.

Objective:To systematically evaluate the risk prediction models for refeeding syndrome in critically ill patients in China and abroad, with the aim of providing feasible risk assessment tools for clinical healthcare professionals.Methods:A computerized search of PubMed, Embase, Web of Science, Cochrane Library, CINAHL, Proquest, Scopous, China Biomedical Literature Database, China National Knowledge Infrastructure (CNKI), Wanfang, and VIP was conducted for relevant literature from database inception to July 1, 2024. Two researchers independently reviewed the literature and extracted the relevant information. Quality assessment was performed using a risk of bias assessment tool specifically designed for predictive modeling.Results:A total of 8 papers were included, reporting 8 risk prediction models for refeeding syndrome in critically ill patients, with sample sizes ranging from 109 to 806 cases, outcome event rates from 22.5% to 69.8%, and area under the curve values from 0.74 to 0.95. The most frequently reported predictors included albumin (ALB), pre-albumin (PAB), blood potassium, use of diuretics, and Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) scores.Conclusions:The risk prediction models for refeeding syndrome in critically ill patients have good predictive performance but are still in the development stage. A high-quality, low-bias clinically applicable model should be established through multicenter, large-sample, and standardized studies.

Objective To investigate the clinical application value of the combined detection of fecal syndecan 2(SDC2)and tissue factor pathway inhibitor 2(TFPI2)gene methylation in the diagnosis of colorectal cancer and advanced adenoma.Methods 124 pa-tients with colorectal lesions,including 43 colorectal cancer,52 advanced adenoma,and 29 non-advanced adenoma,and 46 patients with other gastrointestinal diseases such as colorectal inflammatory diseases,ulcers,etc.,who visited 5 hospitals in Zhengzhou from 2020 to 2023 were enrolled as the disease group.In addition,78 healthy individuals who underwent physical examinations in the same period were selected as the healthy control group.Their fecal samples were collected before undergoing colonoscopy,and the methyla-tion levels of SDC2 and TFPI2 genes were detected using the quantitative methylation-specific PCR(qMSP).Results The positive rates of the combined detection of SDC2 and TFPI2 gene methylation in the colorectal cancer group and advanced adenoma group(95.34％and 88.46％)were significantly higher than those in the non-advanced adenoma group(48.27％,x2=18.75/13.63,P＜0.05)and healthy controls(3.84％,x2=96.38/91.54,P＜0.05).In the colorectal cancer group,the postoperative positive rate of the combined detection in 34 patients with positive methylation of SDC2 and TFPI2(5.88％)was significantly lower than the preoperative positive rate(95.34％,x2=54.74,P＜0.05).Moreover,the mean Ct values of methylation of SDC2 and TFPI2 genes(32.38±3.72 and 31.85±3.21)in the colorectal cancer group were significantly lower than that in the advanced adenoma group(35.07±3.09 and 34.96±2.78,t=3.84 and 5.05,P＜0.05).The analysis results of the ROC curve showed that the sensitivities of SDC2,TFPI2,and their combination detection in the diagnosis of colorectal cancer were 86.40％,88.37％,and 89.35％,respectively,while in differenti-ating advanced adenoma they were 73.52％,66.73％,and 80.15％,respectively.The combined detection of SDC2 and TFPI2 in differ-entiating colorectal cancer and advanced adenoma achieved the highest diagnostic efficacy(AUCROC=0.889 and 0.738,respectively).Conclusion The combined detection of methylation of SDC2 and TFPI2 genes in fecal samples has high diagnostic value for colorectal cancer and advanced adenomas,and also has certain clinical application value for the progression and postoperative monitoring of the disease.

Objective:To investigate the effect of CT-derived fractional flow reserve (CT-FFR) measurement sites on the values and the diagnostic performance, and to determine the optimal measurement site for CT-FFR using invasive FFR as the reference standard.Methods:This study was part of the CT-FFR CHINA clinical trial. Patients with suspected coronary artery disease who were scheduled for invasive coronary angiography (ICA) were prospectively recruited from five clinical centers across the country from November 2018 to March 2020. Each enrolled patient underwent coronary CT angiography (CCTA), CT-FFR, ICA, and invasive pressure wire-based FFR assessments sequentially within one week. Four groups of CT-FFR values were obtained on each enrolled target vessels according to different CT-FFR measurement locations: 1, 2, 3 cm distal to the target lesion, and terminal vessel groups. Spearman and Bland-Altman analyses were used to explore the correlation and consistency of CT-FFR values and FFR values at different measurement sites. The measurement deviation of CT-FFR was also compared. Diagnostic accuracy and performance of CT-FFR, including sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUC), in discriminating myocardial ischemia were analyzed across all measurement site groups on a per-vessel level, using FFR as the reference standard.Results:A total of 289 patients with 345 target lesion vessels were included. According to CCTA, there were 51 target vessels (14.8%) with<50% stenosis, 106 vessels (30.7%) with 50%-69% stenosis, and 188 vessels (54.5%) with stenosis≥70%. At per-vessel level, CT-FFR and FFR values at each measurement position group were highly positively correlated: 1 cm distal to target lesion group, r=0.734 ( P<0.001); 2 cm distal to target lesion group, r=0.732 ( P<0.001); 3 cm distal to target lesion group, r=0.737 ( P<0.001); terminal vessel group was 0.719 ( P<0.001). At per-vessel level, CT-FFR and FFR values of all measurement sites were in good agreement (Bland-Altman analysis results): 1 cm distal to target lesion group, 0.014 (95% LoA 0.002-0.026); 2 cm distal to target lesion group, 0.026 (95% LoA 0.015-0.038); 3 cm distal to target lesion group, 0.040 (95% LoA 0.039-0.051); terminal vessel group, 0.075 (95% LoA 0.064-0.087). And at per-vessel level, the accuracy of diagnosing myocardial ischemia with CT-FFR at 1 cm was highest [84.6% (95% CI 80.4%-88.3%)], and the lowest accuracy in the terminal vessel group [67.0% (95% CI 61.7%-72.0%)]. However, there was no significant difference in the diagnostic accuracy of CT-FFR at 1 cm, 2 cm [80.6% (95% CI 76.1%-84.6%)] and 3 cm [77.5% (95% CI 72.6%-81.7%)]. AUC of CT-FFR at 1 cm distal to the lesion were both highest for global level and moderately stenosis (50%-69%) lesions [0.85 (95% CI 0.81-0.89), 0.84 (95% CI 0.77-0.90)]. And the differences were statistically significant among the four measurement location groups (all P<0.05). Conclusions:The deviation of CT-FFR increases with measurement site distance distal to target lesions. One centimeter distal to the target lesion is the optimal measurement site, and the CT-FFR value here shows the highest diagnostic performance for myocardial ischemic lesions, especially for moderate stenosis.

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 analyze the current status and category characteristics of the nursing practice environment in tertiary hospitals in Shanxi province,and explore the influencing factors of different categories.Methods Using convenience sampling,from August 1st to September 10th,2023,nurses from 17 tertiary hospitals in Shanxi Province were selected as subjects for investigation.The demographic questionnaire and the Nursing Practice Environment Scales were used for investigation.A latent profile analysis(LPA)was performed on characteristics of nursing practice environment,and the influencing factors of the latent profile were identified by single-factor analysis and multinomial logistic regression analysis.Results A total of 13,048 nurses were incorporated,and the nursing practice environment in tertiary hospitals in Shanxi Province scored[84.93(68.19,96.35)]on the Practice Environment Measurement Scale,and their practice environments can be divided into 3 categories potential profiles,namely low perception type(13.99％),middle perception type(31.48％),and high perception type(54.52％).Logistic regression analysis revealed that gender,nature of hospital,whether it is a provincial hospital or not,type of hospital,department,position,and whether recruited with authorization were the influencing factors of the latent profile of the nursing practice environment in tertiary hospitals in Shanxi Province(P＜0.05).Conclusion There was heterogeneity in the characteristics of the nursing practice environment in tertiary hospitals in Shanxi Province,which can be categorized into 3 latent profiles.Nursing managers can conduct individualized interventions according to the influencing factors of these profiles to enhance the nursing practice environment.

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.