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 differences in the standardized z-score amplitude of low-frequency fluctuations (zALFFs) across different brain regions between children with global developmental delay (GDD) and healthy children (HC) using functional near-infrared spectroscopy (fNIRS), and correlating zALFF values with the subjects′ Gesell Developmental Scale (GDS) scores.Methods:Thirty-one children aged 2-4 years with GDD and 29 HC of the same age were studied. fNIRS was used to record both groups′ brain activity in response to natural stimuli and to measure any changes in oxygenated hemoglobin (HbO) levels in cerebral blood flow. zALFF values were calculated and the values of 44 channels were compared between the two groups. The correlations between zALFF values and GDS scores were computed.Results:The zALFF values of the children with GDD were significantly lower than those of the HC in the right frontal pole (channel 10) and the right pre-motor and supplementary motor areas (channel 43). In contrast, the zALFF values in the left pre-motor and supplementary motor areas (channels 24 and 26) were significantly higher in the children with GDD compared to the HC. Spearman ranked correlation analysis revealed that the zALFF values in the right pre-motor and supplementary motor areas (channel 43) were positively correlated with socialization scores on the GDS ( r=0.37, P≤0.05). Conclusions:The delays in cognitive and motor development in children with GDD may be associated with functional abnormalities in the right frontal polar region and the bilateral premotor and supplementary motor areas. zALFF values from the right premotor and supplementary motor areas are positively correlated with social skills.

Objective To analyze the usage of pediatric drugs in 17 pediatric specialty hospitals from 2016 to 2020, and provide reference and guidance for the development of the essential medicine list （EML） for children and the improvement of the National Reimbursement Drug List （NRDL） in China. Methods Based on the pediatric medication monitoring data from 17 children's specialized hospitals reported to the Chinese Medical Economic Information Network (CMEI) of the Chinese Pharmaceutical Association between 2016 and 2020, this study analyzes the overall situation of the sample hospitals and the clinical use of pediatric drugs according to the major categories of the Anatomical Therapeutic Chemical Classification System （ATC）. Results In the various ATC categories, the trend of systemic use of anti-infective drugs decreasing was significant in the average hospital expenditure, while the trend of respiratory and digestive system and metabolic drugs decreasing was significant in the average hospital DDDS. In 2020, the average number of hospital grade standards for essential drugs （2018 version） accounted for 15.82% of the total number of drug use standards, while the average number of hospital grade standards for medical insurance （2019 version） accounted for 8.23% of the total number of drug use standards. Conclusion The use of pediatric medication in sample hospitals from 2016 to 2020 was generally reasonable, and there would still a certain gap between the actual clinical usage habits with the existing EML and NRDL，which still need to be adjusted.

Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.

Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.

Objective:To explore the differences in the standardized z-score amplitude of low-frequency fluctuations (zALFFs) across different brain regions between children with global developmental delay (GDD) and healthy children (HC) using functional near-infrared spectroscopy (fNIRS), and correlating zALFF values with the subjects′ Gesell Developmental Scale (GDS) scores.Methods:Thirty-one children aged 2-4 years with GDD and 29 HC of the same age were studied. fNIRS was used to record both groups′ brain activity in response to natural stimuli and to measure any changes in oxygenated hemoglobin (HbO) levels in cerebral blood flow. zALFF values were calculated and the values of 44 channels were compared between the two groups. The correlations between zALFF values and GDS scores were computed.Results:The zALFF values of the children with GDD were significantly lower than those of the HC in the right frontal pole (channel 10) and the right pre-motor and supplementary motor areas (channel 43). In contrast, the zALFF values in the left pre-motor and supplementary motor areas (channels 24 and 26) were significantly higher in the children with GDD compared to the HC. Spearman ranked correlation analysis revealed that the zALFF values in the right pre-motor and supplementary motor areas (channel 43) were positively correlated with socialization scores on the GDS ( r=0.37, P≤0.05). Conclusions:The delays in cognitive and motor development in children with GDD may be associated with functional abnormalities in the right frontal polar region and the bilateral premotor and supplementary motor areas. zALFF values from the right premotor and supplementary motor areas are positively correlated with social skills.

Objective:To explore the feasibility of using quantitative parameters of double contrast-enhanced ultrasound (DCUS) to noninvasively predict lymphatic metastasis in gastric cancer before operation.Methods:From December 2021 to October 2023, 119 patients undergoing gastrectomy at the Second Hospital & Clinical Medical School, Lanzhou University, were enrolled retrospectively. Based on the pathological findings, they were divided into lymph node metastasis (N1, 94 cases) and non-lymph node metastasis (N0, 25 cases) groups. All patients underwent DCUS within 3 days before surgery. Previous to DCUS, lesions′ location and ultrasonic T-staging were recorded by conventional ultrasound. Quantitative parameters such as arrival time (AT), time to peak (TTP), baseline intensity (BI), peak intensity (PI) and wash-in slope (WIS) were obtained by the time-intensity curve (TIC) automatically, and then manually calculated enhanced intensity (ΔPI=PI–BI) and enhanced time (ΔTTP=TTP–AT). Binary Logistic regression analysis was used to screen independent risk factors for predicting lymph nodes metastasis in gastric cancer, and regression models were established.Results:Statistical tests revealed significant differences in ultrasonic T-staging ( P<0.001) and degree of differentiation ( P=0.015) between N1 and N0 group. Among DCUS quantitative parameters, statistical differences in PI, ΔPI and WIS were observed between the two groups (all P<0.05), while no significant differences were found in BI, AT, TTP and ΔTTP (all P>0.05). Logistic regression analysis showed that ultrasonic T-staging and WIS were independent risk factors for predicting lymphatic metastasis. The regression model built on the above two factors performed well in predicting lymph nodes metastasis, with an area under the curve of 0.905, accuracy of 93.3% (superior to the prediction model based on DCUS quantitative parameters alone, P<0.05), sensitivity of 95.7% and specificity of 84.0%. Conclusions:DCUS quantitative parameters may be helpful to evaluate lymphatic metastasis of gastric cancer prior to surgery, and the accuracy of prediction would be improved by combing with ultrasonic T-staging.

Objective:To compare the effectiveness of two types of robotic training in improving the lower extremity motor functioning of children with spastic cerebral palsy (SCP).Methods:Twenty-eight children with SCP were randomly divided into a control group and an experimental group, each of 14. Both groups received conventional exercise therapy, paraffin therapy, neuromuscular electrical stimulation, and massage. Both also performed 30 minutes of gait training five days a week for eight weeks assisted by either a Lokomat or a Relink lower limb rehabilitation robot. Before and after the treatment, both groups were evaluated using the Gross Motor Function Measure (GMFM), the Pediatric Balance Scale (PBS), the Modified Tardieu Scale (MTS), the six-minute walk test (6MWT), the Physiological Cost Index (PCI) and their self-selected walking speed (SWS).Results:Significant improvement in all of the measurements were observed in both groups. After the treatment, there were no significant differences between the two group in the average GMFM (section D and E) or PBS scores. The average MTS R1 and R2, SWS, 6MWT and PCI results of the experimental group were, however, significantly better than those of the control group.Conclusion:Applying either the Lokomat or Relink robot in lower extremity rehabilitation improves the lower extremity motor function of children with grade II-III SCP. The Relink robot is the more effective in improving triceps surae spasm and walking ability.

Objective To investigate the relationship between the therapeutic effect of anti-vascular endothelial growth factor(VEGF)and cytokines in aqueous humor in patients with diabetic retinopathy(DR).Methods From July 2023 to December 2023,50 DR patients(56 eyes)who were treated with anti-VEGF drugs in the Department of Ophthal-mology,the Third Affiliated Hospital of Xinxiang Medical University were included in this study.The patients were divided into the diabetic macular edema(DME)group(30 patients,36 eyes)and the proliferative DR(PDR)group(20 patients,20 eyes).Patients in the DME group received an intravitreal injection of aflibercept once a month for three consecutive times,with aqueous humor extracted before each injection.Patients in the PDR group received an intravitreal injection of aflibercept one week before vitrectomy,with aqueous humor extracted before injection and during vitrectomy,respective-ly.The concentrations of vascular endothelial growth factor A(VEGF-A),placental growth factor(PLGF),interleukin(IL)-1β,IL-23,IL-17A,and tumor necrosis factor-α(TNF-α)in the aqueous humor were detected using the Luminex as-say.Before injection therapy,all patients underwent best corrected visual acuity(BCVA)and central macular thickness(CMT)examinations,and their correlations with cytokine concentrations in DR patients before injection therapy were ana-lyzed.Results Compared to before injection therapy,the concentrations of VEGF-A,PLGF,and IL-23 in the aqueous humor of patients in the DME group decreased significantly after treatment(all P＜0.05);additionally,the CMT de-creased,and the BCVA increased(both P＜0.05).After injection therapy,the concentrations of VEGF,PLGF,IL-1β,IL-23,IL-17A,and TNF-α in the aqueous humor of patients in the PDR group significantly decreased compared to before injec-tion therapy(all P＜0.05).Before injection therapy,the levels of VEGF-A,PLGF,and IL-23 in the aqueous humor of pa-tients in the DME group were higher than those in the PDR group,and the differences were statistically significant(all P＜0.05).The correlation analysis results showed that before injection therapy,VEGF was negatively correlated with BCVA(r=-0.767,P=0.004)and was positively correlated with CMT(r=0.662,P=0.019)and IL-23(r=0.765,P=0.004)in the DME group.There was no correlation between the cytokines in the aqueous humor of patients in the PDR group be-fore injection therapy(all P＞0.05).Conclusion Changes in the concentration of VEGF-A,PLGF,and IL-23 are closely related to the occurrence and development of DR.Anti-VEGF treatment can improve BCVA and decrease CMT in DME pa-tients.The expression level of IL-23 in aqueous humor can serve as a predictive factor for the anti-VEGF efficacy in DR pa-tients,providing new targets for early diagnosis and treatment of DR.

Receptor-interacting serine/threonine-protein kinase 1 (RIPK1) functions as a key regulator in inflammation and cell death and is involved in mediating a variety of inflammatory or degenerative diseases. A number of allosteric RIPK1 inhibitors (RIPK1i) have been developed, and some of them have already advanced into clinical evaluation. Recently, selective RIPK1i that interact with both the allosteric pocket and the ATP-binding site of RIPK1 have started to emerge. Here, we report the rational development of a new series of type-II RIPK1i based on the rediscovery of a reported but mechanistically atypical RIPK3i. We also describe the structure-guided lead optimization of a potent, selective, and orally bioavailable RIPK1i, 62, which exhibits extraordinary efficacies in mouse models of acute or chronic inflammatory diseases. Collectively, 62 provides a useful tool for evaluating RIPK1 in animal disease models and a promising lead for further drug development.