Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Objective:To observe and analyze the subtype-specific prognostic factors for visual recovery in patients with demyelinating optic neuritis (DON) after glucocorticoid pulse therapy.Methods:A retrospective cohort study. A total of 195 patients (249 eyes) with DON diagnosed by ophthalmology examination at Department of Ophthalmology, Xi'an People's Hospital (Xi'an Fourth Hospital) from January 2021 to December 2024 were included in the study. According to the results of serum antibody detection and clinical diagnostic criteria, the patients were divided into the neuromyelitis optica spectrum disorder (NMOSD)-associated optic neuritis (ON) (NMOSD-ON) group, the myelin oligodendrocyte glycoprotein antitide-associated ON (MOG-ON) group, and the double antibody negative ON group. They were 51 cases (58 eyes), 72 cases (103 eyes), and 72 cases (88 eyes) respectively. Baseline clinical data, imaging characteristics, and treatment protocols were collected. The primary endpoints were complete visual recovery [best-corrected visual acuity (BCVA) ≥ 1.0] and moderate recovery (BCVA ≥0.5) at 3 months post-onset. Multivariate logistic regression was used to identify independent prognostic factors for visual outcomes within each subtype.Results:At 3 months post-onset, complete recovery rates were 9 (15.5%, 9/58) in the NMOSD-ON group, 64 (62.1%, 64/103) in the MOG-ON group, and 31 (35.2%, 31/88) in the double-seronegative ON group. The results of multivariate regression analysis showed that age [odds ratio ( OR) =0.901, 95% confidence interval ( CI) 0.854-0.950, P<0.001] and peak visual acuity ( OR=0.311, 95% CI 0.147-0.660, P=0.002) and the involvement of optic nerve length ≥1/2 ( OR=3.849, 95% CI 1.083-13.682, P=0.037) were the influencing factors for the complete recovery of visual acuity in the affected eyes of the double antibody negative ON group. Age ( OR=0.958, 95% CI 0.933-0.983, P=0.001) was the only influencing factor for the complete recovery of visual acuity in the affected eyes of the MOG-ON group. Peak visual acuity ( OR=0.288, 95% CI 0.090-0.927, P=0.037) and optic nerve involvement length ≥1/2 ( OR=19.974, 95% CI 1.905-209.559, P=0.013) were the influencing factors for the complete recovery of visual acuity in the affected eyes of the NMOSD-ON group. Age ( OR=0.936, 95% CI 0.890-0.983, P=0.009), time from onset to intravenous infusion of methylprednisolone sodium succinate intervention ( OR=0.854, 95% CI 0.759-0.961, P=0.009), optic disc edema ( OR=4.405, 95% CI 1.108-17.512, P=0.035) and peak visual acuity ( OR=0.13, 95% CI 0.046-0.365, P<0.001) were the influencing factors for the moderate recovery of visual acuity in the affected eyes of the double antibody negative ON group. Peak visual acuity was the only influencing factor for the moderate recovery of visual acuity in the MOG-ON group ( OR=0.060, 95% CI 0.010-0.352, P=0.002) and the NMOSD-ON group ( OR=0.163, 95% CI 0.053-0.500, P=0.001). Conclusions:The prognostic factors for visual recovery in patients with DON after glucocorticoid pulse therapy are subtype-specific. Peak visual acuity is a common predictor for all subtypes. For NMOSD-ON and double antibody-negative ON, attention should be paid to the length of optic nerve lesions. MOG-ON is age-related. Early intravenous infusion of methylprednisolone sodium succinate for double antiantibody negative ON is more likely to achieve moderate vision recovery.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

Purpose: The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations. Methods: This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits. Results: Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01). Conclusion Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.

The ventral anterior (VA) nucleus of the thalamus is a major target of the basal ganglia and is closely associated with the pathogenesis of Parkinson's disease (PD). Notably, the VA receives direct innervation from the hypothalamic histaminergic system. However, its role in PD remains unknown. Here, we assessed the contribution of histamine to VA neuronal activity and PD motor deficits. Functional magnetic resonance imaging showed reduced VA activity in PD patients. Optogenetic activation of VA neurons or histaminergic afferents significantly alleviated motor deficits in 6-OHDA-induced PD rats. Furthermore, histamine excited VA neurons via H1 and H2 receptors and their coupled hyperpolarization-activated cyclic nucleotide-gated channels, inward-rectifier K⁺ channels, or Ca²⁺-activated K⁺ channels. These results demonstrate that histaminergic afferents actively compensate for Parkinsonian motor deficits by biasing VA activity. These findings suggest that targeting VA histamine receptors and downstream ion channels may be a potential therapeutic strategy for PD motor dysfunction.
Animals ; Histamine/metabolism* ; Male ; Oxidopamine/toxicity* ; Rats ; Ventral Thalamic Nuclei/physiopathology* ; Rats, Sprague-Dawley ; Disease Models, Animal ; Parkinson Disease/metabolism* ; Neurons/physiology* ; Humans ; Optogenetics

Allergen-specific immunotherapy（AIT） remains the only therapeutic approach with the potential to modify the natural course of allergic rhinitis（AR）. Nevertheless, considerable inter-individual variability exists in patients'responses to AIT. To facilitate more reliable assessment of treatment efficacy, the China Rhinopathy Research Cooperation Group（CRRCG） convened young and middle-aged nasal experts in China to formulate the present consensus. The recommended subjective outcome measures for AIT comprise symptom scores, medication scores, combined symptom and medication scores, quality-of-life assessments, evaluation of disease control, and assessment of comorbidities. Objective indicators may supplement these measures. Currently available objective approaches include skin prick testing, nasal provocation testing, and allergen exposure chambers. However, these methods remain constrained by practical limitations and are not yet appropriate for routine implementation in clinical efficacy evaluation. In addition, several biomarkers, including sIgE and the sIgE/tIgE ratio, sIgG4, serum IgE-blocking activity, IgA, cytokines and chemokines, as well as immune cell surface molecules and their functional activity, have been shown to have associations with AIT outcomes. While these biomarkers may complement subjective assessments, they are subject to significant limitations. Consequently, large-scale multicenter trials and real-world evidence are required to strengthen the evidence base. The present consensus underscores the necessity of integrating patients'subjective experiences with objective testing throughout the treatment process, thereby providing a more comprehensive and accurate framework for efficacy evaluation. Looking forward, future investigations should prioritize the incorporation of multi-omics data and artificial intelligence methodologies, which hold promise for overcoming current limitations in assessment strategies and for advancing both the standardization and personalization of AIT.
Humans ; Allergens/immunology* ; China ; Consensus ; Desensitization, Immunologic ; Immunoglobulin E ; Quality of Life ; Rhinitis, Allergic/therapy* ; Treatment Outcome ; East Asian People

Objective:To observe and analyze the subtype-specific prognostic factors for visual recovery in patients with demyelinating optic neuritis (DON) after glucocorticoid pulse therapy.Methods:A retrospective cohort study. A total of 195 patients (249 eyes) with DON diagnosed by ophthalmology examination at Department of Ophthalmology, Xi'an People's Hospital (Xi'an Fourth Hospital) from January 2021 to December 2024 were included in the study. According to the results of serum antibody detection and clinical diagnostic criteria, the patients were divided into the neuromyelitis optica spectrum disorder (NMOSD)-associated optic neuritis (ON) (NMOSD-ON) group, the myelin oligodendrocyte glycoprotein antitide-associated ON (MOG-ON) group, and the double antibody negative ON group. They were 51 cases (58 eyes), 72 cases (103 eyes), and 72 cases (88 eyes) respectively. Baseline clinical data, imaging characteristics, and treatment protocols were collected. The primary endpoints were complete visual recovery [best-corrected visual acuity (BCVA) ≥ 1.0] and moderate recovery (BCVA ≥0.5) at 3 months post-onset. Multivariate logistic regression was used to identify independent prognostic factors for visual outcomes within each subtype.Results:At 3 months post-onset, complete recovery rates were 9 (15.5%, 9/58) in the NMOSD-ON group, 64 (62.1%, 64/103) in the MOG-ON group, and 31 (35.2%, 31/88) in the double-seronegative ON group. The results of multivariate regression analysis showed that age [odds ratio ( OR) =0.901, 95% confidence interval ( CI) 0.854-0.950, P<0.001] and peak visual acuity ( OR=0.311, 95% CI 0.147-0.660, P=0.002) and the involvement of optic nerve length ≥1/2 ( OR=3.849, 95% CI 1.083-13.682, P=0.037) were the influencing factors for the complete recovery of visual acuity in the affected eyes of the double antibody negative ON group. Age ( OR=0.958, 95% CI 0.933-0.983, P=0.001) was the only influencing factor for the complete recovery of visual acuity in the affected eyes of the MOG-ON group. Peak visual acuity ( OR=0.288, 95% CI 0.090-0.927, P=0.037) and optic nerve involvement length ≥1/2 ( OR=19.974, 95% CI 1.905-209.559, P=0.013) were the influencing factors for the complete recovery of visual acuity in the affected eyes of the NMOSD-ON group. Age ( OR=0.936, 95% CI 0.890-0.983, P=0.009), time from onset to intravenous infusion of methylprednisolone sodium succinate intervention ( OR=0.854, 95% CI 0.759-0.961, P=0.009), optic disc edema ( OR=4.405, 95% CI 1.108-17.512, P=0.035) and peak visual acuity ( OR=0.13, 95% CI 0.046-0.365, P<0.001) were the influencing factors for the moderate recovery of visual acuity in the affected eyes of the double antibody negative ON group. Peak visual acuity was the only influencing factor for the moderate recovery of visual acuity in the MOG-ON group ( OR=0.060, 95% CI 0.010-0.352, P=0.002) and the NMOSD-ON group ( OR=0.163, 95% CI 0.053-0.500, P=0.001). Conclusions:The prognostic factors for visual recovery in patients with DON after glucocorticoid pulse therapy are subtype-specific. Peak visual acuity is a common predictor for all subtypes. For NMOSD-ON and double antibody-negative ON, attention should be paid to the length of optic nerve lesions. MOG-ON is age-related. Early intravenous infusion of methylprednisolone sodium succinate for double antiantibody negative ON is more likely to achieve moderate vision recovery.

Objective To construct machine learning models that can be used to predict AUC fold change(FC)using a database of existing pharmacokinetic(PK)and drug-drug interaction(DDI)information,which can be used to explore the possibility of predicting existing drug interactions and to provide certain rational recommendations for clinical drug use.Methods PK data of DDIs and AUC fold change data were extracted from FDA-approved drug labels.Peptide and pharmacodynamic(PD)information related to drug interactions were retrieved through DrugBank,and PPDT identification of relevant peptide IDs was performed using Protein Resource(UniProt),and a matrix normalization code was used to generate multidimensional vector data that were easy to analysis.The effect of PPDT on the AUC,and the resulting multiplicity change was used as the dependent variable for machine learning model construction.The model with the smallest root mean square error(RMES)value was used for model construction to train a bagged decision tree(Bagged)prediction model.The models were tested using the trained models for some of the drug tests.The models were evaluated by reviewing the available literature findings on detection of drug interaction pairs and analyzing and comparing the predicted values.Results A total of 16 pairs of model drug pairs were tested for the effects of 16 drugs on tacrolimus,and it was found that the accuracy of the prediction of the presence or absence of drug interactions was 81.25％;the prediction results were classified according to the FDA standard classification of the strong and weak for the strength of drug interactions,and the results showed that the prediction of the strength of drug interactions,with a large deviation from the larger prediction was less.Conclusion The evaluation of the model to predict the presence or absence of drug interactions was general;however,after classifying the strengths and weaknesses of drug interactions,the prediction of drug interactions was better,and the prediction results indicated that the model prediction performance has a certain reference value for potential DDI assessment before clinical trials.