This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Objective:To explore the application effects of a four-in-one blended teaching model integrating artificial intelligence, virtual reality, 3D printing, and case-based learning (CBL) in the clinical teaching of spinal tumors.Methods:We divided 89 students on training in the Department of Orthopedics of Peking University Third Hospital from September 2022 to August 2024 into control group ( n=47) and experimental group ( n=42). The control group adopted traditional teaching, and the experimental group adopted the four-in-one teaching model. At the end of clinical teaching, an artificial intelligence test and a questionnaire survey were administered to the students to evaluate the teaching effects. The two groups were compared using the independent samples t-test with the use of SPSS 27.0. Results:The experimental group was superior to the control group with significant improvements in the answer accuracy rate (66.67%, χ2=9.44, P=0.002), learning interest [(4.50±0.63), t=2.75, P=0.007], theoretical knowledge mastery [(4.64±0.69), t=7.74, P<0.001], clinical thinking [(4.48±0.71), t=9.08, P<0.001], practical skills [(4.13±0.89), t=2.69, P=0.009], scientific research innovation [(4.71±0.59), t=9.28, P<0.001], teacher-student interaction [(4.74±0.54), t=12.76, P<0.001], and classroom attention [(4.69±0.52), t=12.64, P<0.001]. At the same time, the students in the experimental group put forward numerous constructive feedback. Conclusions:The four-in-one blended teaching model combining artificial intelligence, virtual reality, 3D printing, and CBL can help undergraduate medical students better recognize and diagnose spinal tumors with a correct clinical thinking path, achieving good teaching effects.

OBJECTIVE To analyze the epidemiological characteristics of hospital-associated infections(HAIs)in a large scale three-A hospital and assess the occurrence and development trends of HAIs before and after COVID-19 epidemic and during different stages of prevention and control strategies so as to provide scientific bases for HAIs management.METHODS The surveillance data were collected from the patients who were hospitalized in a large scale three-A hospital by nosocomial infection real-time surveillance system from Jan.2018 to Dec.2023.The prevalence trend,infection sites and distribution of pathogens were analyzed.The study period was divided into the pre-epidemic stage and the epidemic stage,the epidemic stage was divided into the strict infection prevention and control phase and the loose infection prevention and control phase.The epidemiological characteristics of HAIs were observed and compared.RESULTS From 2018 to 2023,the prevalence rate of HAIs was decreased from 3.39％to 2.21％,and there was significant difference in the prevalence rate of the infections among the years(x2=105.00,P＜0.001).During the six years,the prevalence rate of HAIs was highest in the internal medicine wards of critical care medicine department(54.91％),and the gram-negative bacteria(56.61％)were dominant among the pathogens.Lower respiratory tract(41.85％),bloodstream(20.93％)and urinary tract(20.50％)ranked the top 3 infection sites;the lower respiratory tract infection ranked the first place before the COVID-19 epidemic and the different stages of epidemic.The overall prevalence rate of HAIs was 3.26％during the epidemic period,remarkably lower than 3.91％before the COVID-19 epidemic(P＜0.001);the overall prevalence rate of HAIs was 2.21％in the loose prevention and control phase of 2023,remarkably lower than 3.78％in the strict prevention and control phase(P＜0.001).CONCLUSIONS The prevalence of HAIs generally shows a downward trend during the six years.The lower respiratory tract is the major infection site,and the gram-negative bacteria are dominant among the pathogens,especially Klebsiella pneumoniae.The prevention and control strategies for the COVID-19 epidemic may facilitate the reduction of incidence of HAIs,and the prevalence rate is remarkably reduced even in the loose prevention and control phase.It is necessary for the hospital to take targeted prevention and control measures based on the departments,carry out rigid surveillance of the major infection sites and patho-gens,and conduct multidisciplinary coordinated prevention and control so as to control the HAIs.

OBJECTIVE To analyze the epidemiological characteristics of hospital-associated infections(HAIs)in a large scale three-A hospital and assess the occurrence and development trends of HAIs before and after COVID-19 epidemic and during different stages of prevention and control strategies so as to provide scientific bases for HAIs management.METHODS The surveillance data were collected from the patients who were hospitalized in a large scale three-A hospital by nosocomial infection real-time surveillance system from Jan.2018 to Dec.2023.The prevalence trend,infection sites and distribution of pathogens were analyzed.The study period was divided into the pre-epidemic stage and the epidemic stage,the epidemic stage was divided into the strict infection prevention and control phase and the loose infection prevention and control phase.The epidemiological characteristics of HAIs were observed and compared.RESULTS From 2018 to 2023,the prevalence rate of HAIs was decreased from 3.39％to 2.21％,and there was significant difference in the prevalence rate of the infections among the years(x2=105.00,P＜0.001).During the six years,the prevalence rate of HAIs was highest in the internal medicine wards of critical care medicine department(54.91％),and the gram-negative bacteria(56.61％)were dominant among the pathogens.Lower respiratory tract(41.85％),bloodstream(20.93％)and urinary tract(20.50％)ranked the top 3 infection sites;the lower respiratory tract infection ranked the first place before the COVID-19 epidemic and the different stages of epidemic.The overall prevalence rate of HAIs was 3.26％during the epidemic period,remarkably lower than 3.91％before the COVID-19 epidemic(P＜0.001);the overall prevalence rate of HAIs was 2.21％in the loose prevention and control phase of 2023,remarkably lower than 3.78％in the strict prevention and control phase(P＜0.001).CONCLUSIONS The prevalence of HAIs generally shows a downward trend during the six years.The lower respiratory tract is the major infection site,and the gram-negative bacteria are dominant among the pathogens,especially Klebsiella pneumoniae.The prevention and control strategies for the COVID-19 epidemic may facilitate the reduction of incidence of HAIs,and the prevalence rate is remarkably reduced even in the loose prevention and control phase.It is necessary for the hospital to take targeted prevention and control measures based on the departments,carry out rigid surveillance of the major infection sites and patho-gens,and conduct multidisciplinary coordinated prevention and control so as to control the HAIs.

Objective:To explore the application effects of a four-in-one blended teaching model integrating artificial intelligence, virtual reality, 3D printing, and case-based learning (CBL) in the clinical teaching of spinal tumors.Methods:We divided 89 students on training in the Department of Orthopedics of Peking University Third Hospital from September 2022 to August 2024 into control group ( n=47) and experimental group ( n=42). The control group adopted traditional teaching, and the experimental group adopted the four-in-one teaching model. At the end of clinical teaching, an artificial intelligence test and a questionnaire survey were administered to the students to evaluate the teaching effects. The two groups were compared using the independent samples t-test with the use of SPSS 27.0. Results:The experimental group was superior to the control group with significant improvements in the answer accuracy rate (66.67%, χ2=9.44, P=0.002), learning interest [(4.50±0.63), t=2.75, P=0.007], theoretical knowledge mastery [(4.64±0.69), t=7.74, P<0.001], clinical thinking [(4.48±0.71), t=9.08, P<0.001], practical skills [(4.13±0.89), t=2.69, P=0.009], scientific research innovation [(4.71±0.59), t=9.28, P<0.001], teacher-student interaction [(4.74±0.54), t=12.76, P<0.001], and classroom attention [(4.69±0.52), t=12.64, P<0.001]. At the same time, the students in the experimental group put forward numerous constructive feedback. Conclusions:The four-in-one blended teaching model combining artificial intelligence, virtual reality, 3D printing, and CBL can help undergraduate medical students better recognize and diagnose spinal tumors with a correct clinical thinking path, achieving good teaching effects.

Objective:To summarize the clinical and genetic characteristics of Potocki-Shaffer syndrome (PSS).Methods:A retrospective study was conducted to analyze the clinical data of 1 patient diagnosed with PSS in the Department of Pediatrics of the Sixth Affiliated Hospital, Sun Yat-Sen University at February 2021.The data analyzed included clinical manifestations, biochemical tests and gene tests.Meanwhile, studies were retrieved from the China National Knowledge Internet database, Wanfang database, and PubMed database from the establishment of the database to December 2021 by taking " Potocki-Shaffer syndrome" " EXT2 gene" " AlX4 gene" and " PHF21A gene" as key words.Besides, genes were searched from the Online Frontal Analysis Mendelian Inheritance in Man.The clinical and genetic features of PSS patients were summarized. Results:The patient was 5 months and 21 days old, male, who was admitted to the hospital due to excessive growth in body mass for the past 3 months.The patient showed mental and motor retardation, overgrowth, concealed penis, hearing loss, and hypotonia.Whole exon sequencing of this patient revealed heterozygous deletions in the Chr11: 44069455-48188946 region, including the deletions of 3 autosomal dominant genes: EXT2, ALX4, and PHF21A.The patient was diagnosed with PSS.A total of 14 articles published in English were collected, involving this boy and other 35 patients.In these patients, 14 cases had point mutations, and 22 cases had large deletions. PHF21A gene variation was detected in 23 cases (dysgnosia in 22 cases, dyskinesia in 21 cases, language development delay in 18 cases). EXT2 gene variation was observed in 22 cases (exostoses in 13 cases). ALX4 gene variation was found in 19 cases (bilateral parietal foramina in 15 cases). Of 36 cases, 27 cases had craniofacial anomalies. Conclusions:The main clinical symptoms of PSS are language and motor developmental delay, intellectual disability, exostoses, bilateral parietal foramina, and craniofacial anomalies, which are closely related to 3 autosomal dominant genes ALX4, EXT2 and PHF21A.Genetic testing facilitates the clinical diagnosis of PSS, and the mutation types are dominated by point mutations and large deletions.

Objective:To construct an automatic recognition system for PD patients with freezing of gait (FOG) based on mobile phone videos by recording the gait videos of PD patients with FOG.Methods:Forty-nine PD patients with FOG, admitted to our hospital from December 2020 to May 2021, were chosen in our study. Their clinical data were collected. The processes of these patients accepted "3-meter-round trip" and "3-meter-round trip through narrow (0.6 m)" were recorded and 87 valid gait videos were extracted. Position signals of key points in the video were extracted, and featured data were extracted after signal preprocessing. From the featured data, action recognition model, straight FOG recognition model and turn FOG recognition model were established respectively, and finally end-to-end FOG recognition model was formed. Leave-one-subject-out (LOSO) method was used to evaluate the performance of the above models.Results:A total of 22 066 non-FOG window samples and 3815 FOG window samples were obtained from 87 valid videos, which constituted the training sample pool of this study. LOSO method showed that the motion recognition model enjoyed 83.27% sensitivity, 91.38% specificity, and 89.28% accuracy; the straight FOG recognition model enjoyed 57.69% sensitivity and 88.12% specificity; the turn FOG recognition model enjoyed 61.54% sensitivity and specificity 98.72%; and the end-to-end FOG recognition model enjoyed 85.71% sensitivity and 75.73% specificity.Conclusion:The automatic recognition system for PD patients with FOG based on mobile phone videos has relatively high sensitivity and specificity, which can realize remote assessment and is convenient for screening and follow-up of PD patients with FOG.

Objective:To evaluate spectral CT metal artifacts reduction (MAR) technique in reducing metal artifacts of spinal implants in a phantom.Methods:Ovine spines were chosen as anthropomorphic phantom. The phantom including the pedicle screws, 3D-printed vertebral body (VB) and mesh cage were examined using spectral CT. Postoperative CT images were reconstructed at 70—140 keV with 10 keV interval of MAR and non-MAR. Artifact index (AI) and signal-to-noise ratio (SNR) were evaluated by CT and SD values in ROIs around the implants. Visibility of bony structures, the artifacts of pedicle screw, 3D-printed VB and mesh cage were subjectively evaluated. Plotting curves of AI and SNR with the increasing keV were drawn. The AI and SNR were compared at lower (70 keV), medium (100 keV) and high (130 keV) level between MAR and non-MAR images using the paired t-test, and the subjective scores were compared using Wilcoxon signed rank-sum test. Results:The AI values around pedicle screws (anterior, posterior and lateral), 3D-printed VB and mesh cage decreased with the increase of keV, while SNR improved in MAR and non-MAR images. The AI values in the anterior, lateral and posterior pedicle screws and lateral titanium implants were significantly lower in MAR than those in non-MAR ( P<0.05). The AI value in posterior 3D-printed vertebral was lower in MAR than that of non-MAR only at 70 keV ( P<0.001). The SNR values in the anterior and posterior pedicle screws, 3D-printed VB increased with the increase of keV, but decreased in other ROIs. In the subjective evaluation, the image scores of MAR were higher than those of non-MAR ( P<0.05). Conclusion:Spectral CT using the MAR reconstruction can effectively reduce metal artifacts of spinal implants. The effect is better in pedicle screw and mesh cage than 3D-printed VB.

Patients with moyamoya disease often have cognitive impairment.The specific mechanisms are unclear.Surgical intervention relieving low perfusion state of cerebral blood flow may be the only effective way in the treatment of moyamoya disease,maintain or improve cognitive function at present; however the related surgical indications,timing of surgery,postoperative hyperperfusion syndrome,as well as long-term efficacy and other issues must be resolved.

ObjectiveTo explore the efficacy and indications of three kinds minimally invasive surgery treatment of upper ureteral calculus (UUC) complicating hydronephrosis.MethodsFour hundred and ninety-two patients with UUC complicating hydronephrosis were divided into three groups:minimally percutaneous nephrolithotomy (mPCNL) group (310 patients),ureteroscopy lithotripsy(URSL) group ( 130 patients) and retroperitoneal laparoscopic ureterolithotomy (RLU) group (52 patients).The operation time,blood loss,length of stay,stone-free rate and postoperative complications in three groups were compared.ResultsThe stone-free rate was 91.0％(282/310) in mPCNL group,78.5％(102/130) in URSL group and 100.0％(52/52) in RLU group,mPCNL group and RLU group were significantly higher than URSL group (P ＜0.01 ).URSL group and RLU group had the advantage of less operation time,blood loss,length of stay and postoperative complications compared with mPCNL group [ RLU group:(55.8 ± 20.5 ) min,( 10.8 ± 3.2)ml,(6.3 ± 2.1 ) d,1.9％(1/52) ;URSL group:(56.5 ± 15.2) min,(8.6 ± 1.4) ml,(5.7 ± 1.6) d,1.5％(2/130);mPCNL group:(113.8 ±42.5) min,(132.8 ±40.2) ml,(12.5 ±2.4) d,8.4％(26/310),P＜ 0.01 ].Conclusions Minimally invasive surgery on the treatment of UUC is safe and effective.URSL is preferred to treating the small UUC,RLU can improve the success rate for larger UUC.Contrary to mPCNL,which is best for merger kidney calculus,has higher stone-free rate,can be used as supplement of URSL after treatment failure.