OBJECTIVE To promote the application of drones in emergency rescue and related fields， expand “low-altitude+ medical” rescue services， and advance the standardization of “low-altitude+medical” distribution services. METHODS The Consensus on Low-altitude Transport and Delivery Services for Emergency Medicines via Drones （2025 Edition） （hereinafter referred to as the Consensus） was jointly initiated by the Division of Therapeutic Drug Monitoring， Chinese Pharmacological Society and the Expert Committee on Precision Medication of the Guangdong Pharmaceutical Association. Guangzhou Red Cross Hospital served as the leading unit， organizing 53 multidisciplinary experts nationwide to participate in drafting and reviewing. A nominal group technique was employed to discuss and finalize the consensus outline， resulting in a preliminary draft. Delphi method was employed， and 11 external review experts were invited to conduct the evaluation. After the experts’ opinions were analyzed and integrated， the Consensus was finalized. RESULTS & CONCLUSIONS The finalized Consensus includes its purpose， principles， and applicable scenarios， basic requirements， and operational procedures for low-altitude transport and delivery of emergency medications； distribution requirements and precautions for controlled substances， fragile medications， and temperature-sensitive medications； and recommendations for emergency medications supplies suitable for the low-altitude transportation and distribution. The release of this Consensus is expected to provide guidance and support for the standardization of “low-altitude+medical” distribution services and the application of low-altitude economy in the healthcare sector.

Objective:To explore the causes and preventive measures of respiratory arrest following general anesthesia in children with obstructive sleep apnea （OSA）, in order to enhance the safety of OSA surgeries under general anesthesia. Methods:A retrospective analysis was conducted on the clinical and follow-up data of four pediatric cases that experienced respiratory arrest after general anesthesia for OSA at Shenzhen Hospital of Southern Medical University from March 2020 to March 2022. Results:All four children exhibited varying degrees of decreased blood oxygen saturation, cyanosis, and loss of consciousness after OSA surgery under general anesthesia, with one case experiencing respiratory and cardiac arrest. Through emergency rescue measures such as oxygen supplementation, suctioning, positive pressure ventilation, awakening, and cardiopulmonary resuscitation, all four children were stabilized. Follow-up after 2 to 6 months showed no complications. The main reasons for the occurrence are analyzed as: residual anesthetic drugs, characteristics of the OSA disease, and the unique aspects of the pediatric population. Conclusion:Children undergoing general anesthesia for OSA should be closely monitored for vital signs after surgery. If respiratory suppression occurs, active rescue measures should be taken to avoid serious consequences.
Humans ; Sleep Apnea, Obstructive/surgery* ; Anesthesia, General/adverse effects* ; Retrospective Studies ; Child ; Postoperative Complications/prevention & control* ; Male ; Female ; Child, Preschool

Purpose To investigate the diagnostic value of 7T ultra-high field MRI in deep medullary venography.Materials and Methods This prospective controlled study enrolled 47 healthy subjects from the First Affiliated Hospital of Army Medical University from May to August 2022.All participants underwent susceptibility-weighted imaging scans on both 7T and 3T MRI systems on the same day.Subjective image quality was evaluated using a Likert 5-point scale,while deep medullary vein visualization was assessed via a visual quartile grading system.Objective metrics,including signal-to-noise ratio and contrast-to-noise ratio,were used to evaluate venous image quality.Results There were statistically significant differences in subjective Likert 5-point scores between the 7T and 3T MRI group[5(5,5)vs.4(3,4);Z=234.50,P<0.001].Deep medullary vein visual quartile scores also showed significant differences between 7T and 3T MRI[0(0,0)]vs.[1(1,2);Z=47.00,P<0.001].Signal-to-noise ratio in the 7T group(1.50±0.35)was lower than that in the 3T group(5.45±1.83),while contrast-to-noise ratio(7.64±1.70)was higher than that in the 3T group(5.44±2.11),with both differences being statistically significant(t=14.54,-5.68,P<0.001).Conclusion 7T ultra-high field MRI demonstrates superior image quality for deep medullary venography visualization compared to 3T MRI.

Objective:To analyze the prospective associations between liver biomarkers and mortality among Chinese middle-aged and elderly populations and to evaluate the mortality risk predictive value.Methods:A total of 22 758 participants from the 3 rd resurvey of the China Kadoorie Biobank were included. Cox proportional hazard models were used to analyze the prospective associations of 5 liver biomarkers with mortality. These liver biomarkers included two liver imaging biomarkers (liver fat attenuation parameter, liver stiffness measurement) and three serum liver enzyme biomarkers [gamma-glutamyl transferase (GGT), ALT, and AST]. Restricted cubic spline was used to assess the nonlinear associations between biomarkers and mortality. The area used the receiver operating characteristic curve (AUC) to evaluate the predictive ability of the models after incorporating liver biomarkers into traditional prediction models for mortality. Results:The mean age of the participants was (65.2±9.1) years, with a median follow-up of 1.5 years, during which 307 deaths occurred. Compared to individuals without hepatic steatosis, those with severe hepatic steatosis had a 79% higher risk of mortality, with a HR of 1.79 (95% CI: 1.06-3.03). Compared to individuals without hepatic fibrosis, those with advanced fibrosis and cirrhosis had higher mortality risks of 48% and 91%, respectively (both P<0.05). For each standard deviation increase in GGT, the mortality risk increased by 10% ( HR=1.10, 95% CI: 1.05-1.15), with the positive association plateauing at higher GGT levels. AST exhibited a U-shaped association with mortality risk. The AUC of the prediction model adding liver biomarkers into traditional prediction factors was 0.718 (95% CI: 0.679-0.757), with an increase of 0.030 ( P<0.001) compared with the traditional model. Conclusions:Severe hepatic steatosis, higher levels of hepatic fibrosis, and elevated GGT levels are significantly associated with higher mortality risk. AST shows a U-shaped nonlinear association with mortality risk. Incorporating liver biomarkers into traditional risk prediction models enhance the ability to predict mortality.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.

Tic disorder is a common neurodevelopmental disorder characterized by motor or vocal tics.The etiology and pathogenesis have not been fully elucidated.Increasingly, studies have shown that immune-mediated chronic inflammation of the nervous system plays an important role in the onset and progression of tic disorder.Histamine is an endogenous biogenic amine with peripheral and central immunomodulatory functions, which plays a crucial role in regulating the cortex-striatum-thalamus-cortex circuit, and exerts dual effects in the process of neuroinflammation.This review aims to investigate the pathological mechanism of histamine in the neuroinflammation of tic disorder.

Objective:To analyze the prospective associations between liver biomarkers and mortality among Chinese middle-aged and elderly populations and to evaluate the mortality risk predictive value.Methods:A total of 22 758 participants from the 3 rd resurvey of the China Kadoorie Biobank were included. Cox proportional hazard models were used to analyze the prospective associations of 5 liver biomarkers with mortality. These liver biomarkers included two liver imaging biomarkers (liver fat attenuation parameter, liver stiffness measurement) and three serum liver enzyme biomarkers [gamma-glutamyl transferase (GGT), ALT, and AST]. Restricted cubic spline was used to assess the nonlinear associations between biomarkers and mortality. The area used the receiver operating characteristic curve (AUC) to evaluate the predictive ability of the models after incorporating liver biomarkers into traditional prediction models for mortality. Results:The mean age of the participants was (65.2±9.1) years, with a median follow-up of 1.5 years, during which 307 deaths occurred. Compared to individuals without hepatic steatosis, those with severe hepatic steatosis had a 79% higher risk of mortality, with a HR of 1.79 (95% CI: 1.06-3.03). Compared to individuals without hepatic fibrosis, those with advanced fibrosis and cirrhosis had higher mortality risks of 48% and 91%, respectively (both P<0.05). For each standard deviation increase in GGT, the mortality risk increased by 10% ( HR=1.10, 95% CI: 1.05-1.15), with the positive association plateauing at higher GGT levels. AST exhibited a U-shaped association with mortality risk. The AUC of the prediction model adding liver biomarkers into traditional prediction factors was 0.718 (95% CI: 0.679-0.757), with an increase of 0.030 ( P<0.001) compared with the traditional model. Conclusions:Severe hepatic steatosis, higher levels of hepatic fibrosis, and elevated GGT levels are significantly associated with higher mortality risk. AST shows a U-shaped nonlinear association with mortality risk. Incorporating liver biomarkers into traditional risk prediction models enhance the ability to predict mortality.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.

Purpose To investigate the diagnostic value of 7T ultra-high field MRI in deep medullary venography.Materials and Methods This prospective controlled study enrolled 47 healthy subjects from the First Affiliated Hospital of Army Medical University from May to August 2022.All participants underwent susceptibility-weighted imaging scans on both 7T and 3T MRI systems on the same day.Subjective image quality was evaluated using a Likert 5-point scale,while deep medullary vein visualization was assessed via a visual quartile grading system.Objective metrics,including signal-to-noise ratio and contrast-to-noise ratio,were used to evaluate venous image quality.Results There were statistically significant differences in subjective Likert 5-point scores between the 7T and 3T MRI group[5(5,5)vs.4(3,4);Z=234.50,P<0.001].Deep medullary vein visual quartile scores also showed significant differences between 7T and 3T MRI[0(0,0)]vs.[1(1,2);Z=47.00,P<0.001].Signal-to-noise ratio in the 7T group(1.50±0.35)was lower than that in the 3T group(5.45±1.83),while contrast-to-noise ratio(7.64±1.70)was higher than that in the 3T group(5.44±2.11),with both differences being statistically significant(t=14.54,-5.68,P<0.001).Conclusion 7T ultra-high field MRI demonstrates superior image quality for deep medullary venography visualization compared to 3T MRI.

Tic disorder is a common neurodevelopmental disorder characterized by motor or vocal tics.The etiology and pathogenesis have not been fully elucidated.Increasingly, studies have shown that immune-mediated chronic inflammation of the nervous system plays an important role in the onset and progression of tic disorder.Histamine is an endogenous biogenic amine with peripheral and central immunomodulatory functions, which plays a crucial role in regulating the cortex-striatum-thalamus-cortex circuit, and exerts dual effects in the process of neuroinflammation.This review aims to investigate the pathological mechanism of histamine in the neuroinflammation of tic disorder.