ObjectiveTo evaluate the clinical efficacy of acupuncture in the treatment of adolescent depression and to explore its potential mechanisms based on functional magnetic resonance imaging （fMRI） and serum proteomics. MethodsA randomized， double-blind， sham acupuncture-controlled trial design was conducted. A total of 100 adolescents with depression were enrolled and randomly assigned to an acupuncture group and a sham acupuncture group， with 50 participants in each group. In addition， 20 healthy subjects were recruited as healthy controls. Participants in the acupuncture group received acupuncture at Baihui （GV 20）， Yintang （GV 29）， Zhongwan （CV 12）， Qihai （CV 6）， bilateral Tianshu （ST 25）， bilateral Neiguan （PC 6）， bilateral Zusanli （ST 36）， and bilateral Taichong （LR3）. The sham acupuncture group received intervention using a blunt placebo needle without skin penetration. Both groups received 30-min treatments three times per week for 4 weeks. The primary outcome was the reduction rate of the 24-item Hamilton Depression Rating Scale （HAMD-24） score. Secondary outcomes included changes in HAMD-24 scores before and after treatment， covering nine factors （anxiety/somatization， cognitive impairment， sleep disturbance， psychomotor retardation， hopelessness， fatigue， weight change， diurnal mood variation， and suicidal ideation）， response rate and remission rate after treatment， and symptom severity before and after treatment. Subgroup analyses of total HAMD-24 scores were performed according to concomitant medication use and the number of medications taken. During the study period， all adverse events were monitored and recorded to evaluate safety. Patients who volunteered and met the eligibility criteria for imaging examinations were selected to undergo brain fMRI scanning and serum proteomic analysis to investigate changes in functional connectivity among brain regions and differential proteins. ResultsA total of 49 participants in the acupuncture group and 50 participants in the sham acupuncture group were included in the efficacy analysis. Among them， 20 participants in the acupuncture group and 21 in the sham acupuncture group completed fMRI scans， while 19 participants in the acupuncture group and 21 in the sham acupuncture group completed serum proteomic analyses. After 4 weeks of treatment， the mean reduction rate of HAMD-24 score in the acupuncture group was significantly higher than that in the sham acupuncture group ［（58±24）% vs.（26±19）%， P＜0.01］. Compared to baseline， scores for anxiety/somatization， cognitive impairment， psychomotor retardation， and hopelessness， and the total HAMD-24 score significantly decreased in both groups. In addition， the acupuncture group showed significant reductions in sleep disturbance， fatigue， and suicidal ideation scores （P＜0.01）. After treatment， the response rate and remission rate were 67.35% （33/49） and 24.48% （12/49） in the acupuncture group， respectively， significantly higher than 6.00% （3/50） and 0 in the sham acupuncture group （P＜0.01）. The proportion of participants with moderate symptoms was lower， whereas the proportion with mild symptoms was higher in the acupuncture group than the sham acupuncture group （P＜0.01）. Among those receiving acupuncture alone， acupuncture combined with medication， or fewer than three medications， the total HAMD-24 scores decreased after treatment in both the acupuncture subgroup and the sham acupuncture subgroup， with significantly lower scores in the acupuncture subgroup （P＜0.01）. During the study period， four mild adverse events were reported， including one case in the acupuncture group and three cases in the sham acupuncture group； none of these events affected the continuation of treatment. fMRI results showed that acupuncture enhanced functional connectivity between the prefrontal cortex and cerebellar-limbic system-related brain regions. Proteomic analysis identified 24 differentially expressed proteins associated with acupuncture treatment， mainly enriched in pathways related to neuroinflammation and energy metabolism. ConclusionAcupuncture can significantly improve depressive symptoms in adolescents with depression. Its therapeutic effects may be achieved by modulating emotion-related brain networks and regulating pathways associated with neuroinflammation and energy metabolism.

Vocal cord paralysis （ VCP ） refers to the movement disorder of the vocal cord caused by the damage of the motor nerve conduction pathway that dominates the laryngeal muscles, which can be accompanied by sensory nerve disorder of the larynx. Symptoms of bilateral vocal cord paralysis include crying hoarseness, sucking cough, and laryngeal stridor, which can lead to asphyxia in severe cases. Our team recently used CO2 laser to treat such children, but the prognosis varies significantly. Case 1: A 2-year-old male, who had undergone tracheotomy 2 years prior, was diagnosed with "bilateral vocal cord paralysis with grade Ⅱ laryngeal obstruction" after birth. He maintained a tracheostomy until recently. Electronic laryngoscopy showed that the bilateral vocal cords were fixed in the midline, with a glottic fissure of about 1 mm. After surgical treatment, the outcome was good, and there was no recurrence during follow-up. A 1-year-old female, who had undergone tracheotomy over a year ago, was diagnosed with ' ①bilateral vocal cord paralysis; ②laryngomalacia; ③neonatal pneumonia.' She maintained a tracheostomy since then. Electronic laryngoscopy revealed that the bilateral vocal cords were retracted and fixed, with a glottic fissure of about 0.5 mm and limited vocal cord abduction. The postoperative outcome for this child was not good, and the tracheostomy tube was not removed.
Humans ; Vocal Cord Paralysis/surgery* ; Male ; Child, Preschool ; Female ; Laser Therapy ; Infant

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.

Objective To analyse the characteristics of spatial distribution of bed resources and bed utilization efficiency of various types of medical and health institutions in Guangxi Province in 2018-2022,and to provide a reference basis for the allocation and management of bed resources of various types of medical and health institutions.Methods Spatial autocorrelation was used to analyse the status of bed allocation in various types of medical and health institutions,and the bed efficiency index and bed utilisation model were used to evaluate the efficiency of bed utilisation.Results Bed resources per 1 000 population vary considerably across types of healthcare organisations and regions.There is no spatial correlation in the overall distribution of bed resources per 1 000 population,but there are different types of aggregation,and there will be little change in the type of aggregation and the place of aggregation from 2018 to 2022.In terms of utilisation efficiency,the bed efficiency index of maternity and child healthcare hospitals is the highest,the bed efficiency index of specialist disease prevention and treatment hospitals(institutes and stations)is the lowest,general hospitals and maternity and child healthcare hospitals are operating at high efficiency,and all other healthcare institutions are operating at low efficiency;the utilisation of bed resources in various types of healthcare institutions exists in the form of efficiency-type,turn-around-type,bed-pressure-type,and unused-type hospitals at the same time.Conclusion There is an imbalance in the allocation of bed resources in various types of medical and health institutions,with large differences in the operational and utilisation efficiencies of beds;the allocation of bed resources should be continuously optimised.