Objective:To compare and analyze the similarities and differences in clinical manifestations, laboratory findings, pathological characteristics, and prognosis between urticarial vasculitis (UV) and chronic spontaneous urticaria with pigmentation (CSUwp) .Methods:A retrospective analysis was conducted on the clinical data and follow-up results from 35 UV patients and 54 CSUwp patients who attended the Department of Dermatology, Southwest Hospital, Army Medical University from 2014 to 2024. The clinical characteristics (duration of rash, pigmentation, petechiae and ecchymosis, itching, burning sensation, fever, fatigue, skin lesion characteristics, etc.) , laboratory test results, pathological features, and prognosis were compared between the two groups. Statistical analysis was carried out by t test, chi-square test, Mann-Whitney U test, and Kaplan-Meier survival analysis. Results:There were no significant differences in gender, age, or age of onset between the UV group and CSUwp group (all P < 0.05) . The proportions of patients with petechiae/purpura (68.57% [24/35] vs. 11.11% [6/54]) , and those with burning sensation (22.86% [8/35] vs. 3.70% [2/54]) were significantly higher in the UV group than in the CSUwp group (both P < 0.05) . Compared with the CSUwp patients, the UV patients presented with a greater number of lesions, larger lesion areas, and more frequent involvement of the lower limbs (all P < 0.05) , also showed significantly higher incidence rates of peripheral blood complement reduction, perivascular neutrophil infiltration, nuclear dust, fibrinoid necrosis of the vessel wall, and erythrocyte extravasation (all P < 0.05) , as well as more extensive dermal perivascular inflammation ( Z = -4.506, P < 0.001) . Among patients who achieved remission, the natural disease course was significantly longer in the CSUwp patients than in the UV patients (6.00 [2.5, 24] months vs. 2.00 [0.5, 24] months; Z = -2.618, P = 0.009]. However, the survival analysis showed no significant difference in the natural disease course or clinical outcomes between the two groups ( χ2 = 2.771, P = 0.096) . There were also no significant differences in rash duration or in the incidence rates of itching, angioedema, or joint pain between the two groups (all P > 0.05) . Conclusions:UV patients exhibited certain differences from CSUwp patients in clinical characteristics, laboratory test results, histopathological features, and prognosis. However, whether their natural disease courses differ requires further follow-up studies to confirm.

Objective:To investigate the clinical value of 18F-NaF PET/CT coronary plague imaging in evaluating the long-term prognosis of patients with coronary artery disease (CAD). Methods:A retrospective cohort study was conducted among 54 patients (37 males and 17 females, aged (57.2±9.8) years) diagnosed with CAD from a multicenter study between September 2015 and October 2022. All patients underwent 18F-NaF PET/CT and coronary angiography (CAG) within 1 week, and the PET/CT imaging was performed at the First Hospital of Shanxi Medical University. Major adverse cardiovascular events (MACE) were followed up. ROC curves were established to obtain the optimal thresholds of SUV max and accumulated SUV max of all lesions of main coronary artery branches (S-SUV max) for predicting MACE. Cox proportional risk model and Kaplan-Meier method (log-rank test) were used to analyze the predictive value of PET parameters for MACE. Differences in metabolic parameters between 2 groups were compared by Mann-Whitney U test. Results:The median follow-up time of the 54 patients was 6.0(1.8, 6.6) years, and 13(24.1%) patients developed MACE, including 7 deaths, 5 myocardial infarction and 1 severe arrhythmia. S-SUV max in MACE group was significantly higher than that in the non-MACE group (2.64(2.08, 4.49) vs 1.83(0.95, 2.90); Z=-2.04, P=0.041). ROC curve showed that the optimal threshold of S-SUV max for MACE prediction was 2.05 (AUC=0.690). Multivariate Cox analysis showed that S-SUV max was a strong predictor of MACE (hazard ratio ( HR)=2.434(95% CI: 1.547-3.828), P<0.001). ROC curve showed that the optimal threshold of SUV max to predict MACE was 0.55 (AUC=0.659), and univariate Cox analysis showed that SUV max was a factor to predict MACE ( HR=10.192 (95% CI: 2.667-38.953), P=0.001). In 25 patients with incomplete revascularization (ICR), Kaplan-Meier analysis showed that the incidence of MACE in patients with positive 18F-NaF uptake (single medium stenosis (40%-70%) with SUV max≥0.55) was significantly higher than that in patients with negative 18F-NaF uptake (5/14 vs 0/11; χ2=6.07, P=0.014). Conclusions:18F-NaF PET/CT can be used as an independent predictor of MACE in patients with CAD and can quantitatively assess the long-term progression of moderate coronary artery stenosis. In the future, it is expected to be a new non-invasive way to guide the revascularization treatment decision of multi-vessel CAD.

Objective:To compare and analyze the similarities and differences in clinical manifestations, laboratory findings, pathological characteristics, and prognosis between urticarial vasculitis (UV) and chronic spontaneous urticaria with pigmentation (CSUwp) .Methods:A retrospective analysis was conducted on the clinical data and follow-up results from 35 UV patients and 54 CSUwp patients who attended the Department of Dermatology, Southwest Hospital, Army Medical University from 2014 to 2024. The clinical characteristics (duration of rash, pigmentation, petechiae and ecchymosis, itching, burning sensation, fever, fatigue, skin lesion characteristics, etc.) , laboratory test results, pathological features, and prognosis were compared between the two groups. Statistical analysis was carried out by t test, chi-square test, Mann-Whitney U test, and Kaplan-Meier survival analysis. Results:There were no significant differences in gender, age, or age of onset between the UV group and CSUwp group (all P < 0.05) . The proportions of patients with petechiae/purpura (68.57% [24/35] vs. 11.11% [6/54]) , and those with burning sensation (22.86% [8/35] vs. 3.70% [2/54]) were significantly higher in the UV group than in the CSUwp group (both P < 0.05) . Compared with the CSUwp patients, the UV patients presented with a greater number of lesions, larger lesion areas, and more frequent involvement of the lower limbs (all P < 0.05) , also showed significantly higher incidence rates of peripheral blood complement reduction, perivascular neutrophil infiltration, nuclear dust, fibrinoid necrosis of the vessel wall, and erythrocyte extravasation (all P < 0.05) , as well as more extensive dermal perivascular inflammation ( Z = -4.506, P < 0.001) . Among patients who achieved remission, the natural disease course was significantly longer in the CSUwp patients than in the UV patients (6.00 [2.5, 24] months vs. 2.00 [0.5, 24] months; Z = -2.618, P = 0.009]. However, the survival analysis showed no significant difference in the natural disease course or clinical outcomes between the two groups ( χ2 = 2.771, P = 0.096) . There were also no significant differences in rash duration or in the incidence rates of itching, angioedema, or joint pain between the two groups (all P > 0.05) . Conclusions:UV patients exhibited certain differences from CSUwp patients in clinical characteristics, laboratory test results, histopathological features, and prognosis. However, whether their natural disease courses differ requires further follow-up studies to confirm.

Objective:To systematically evaluate the predictive value of the reverse shock index multiplied by the Glasgow coma scale score (rSIG) for mortality of trauma patients.Methods:A comprehensive literature search was conducted to identify studies on the predictive value of rSIG for mortality of trauma patients in the following databases from inception to April 2025, including CNKI, Wanfang Data, SinoMed, PubMed, Cochrane Library, Web of Science, and Embase. Two investigators independently screened the literature, extracted data, and assessed study quality according to predefined inclusion and exclusion criteria. The Quality assessment of diagnostic accuracy studies-2 (QUADAS-2) tool was used to evaluate the risk of bias in the included studies. Meta analysis was performed using Stata 17.0 software with a bivariate mixed-effects model. The following metrics were used to assess the predictive value of rSIG for mortality in trauma patients, including sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) curve (AUC). The influence of various factors on the predictive performance of rSIG was examined, including injury type, study design, region, sample size, cut-off value, rSIG measurement time, and outcome measures. Additionally, sensitivity analysis, Fagan′s nomogram, and Deeks′ funnel plot were employed to assess the robustness of the findings, clinical applicability, and publication bias.Results:A total of 15 studies involving 710 612 trauma patients were included, 26 105 of whom were deceased. Meta analysis results showed that rSIG had a pooled sensitivity of 0.78(95% CI 0.71, 0.84), a pooled specificity of 0.78(95% CI 0.68, 0.86), a pooled PLR of 3.60(95% CI 2.46, 5.27), a pooled NLR of 0.28(95% CI 0.22, 0.36), a pooled DOR of 12.70(95% CI 8.10, 19.91), and an AUC of 0.85(95% CI 0.81, 0.87) for predicting mortality of trauma patients. Subgroup analysis identified injury type as one of the major sources of heterogeneity, and the predictive specificity of rSIG was significantly higher in patients with multiple trauma (0.82) than in those with isolated traumatic brain injury (0.65) ( P<0.05). Sensitivity analysis indicated that the findings were robust and stable. Fagan′s nomogram showed that when the pre-test probability was 7%, the post-test probability of death increased to 21% in patients with low rSIG and decreased to 2% in those with high rSIG. Deeks′ funnel plots suggested no significant publication bias among the included studies ( P>0.05). Conclusion:Low rSIG has good predictive performance for mortality of trauma patients and can serve as an effective tool for early and rapid prognosis assessment with superior predictive performance in patients with multiple trauma compared to those with traumatic brain injury.

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder worldwide, causing dementia and affecting millions of individuals. One prominent characteristic in the brains of AD patients is glucose hypometabolism. In the context of galactose metabolism, intracellular glucose levels are heightened. Galactose mutarotase (GALM) plays a crucial role in maintaining normal galactose metabolism by catalyzing the conversion of β-D-galactose into α-D-galactose (α-D-G). The latter is then converted into glucose-6-phosphate, improving glucose metabolism levels. However, the involvement of GALM in AD progression is still unclear. In the present study, we found that the expression of GALM was significantly increased in AD patients and model mice. Genetic knockdown of GALM using adeno-associated virus did not change the expression of amyloid precursor protein (APP) and APP-cleaving enzymes including a disintegrin and metalloprotease 10 (ADAM10), β-site APP-cleaving enzyme 1 (BACE1), and presenilin-1 (PS1). Interestingly, genetic overexpression of GALM reduced APP and Aβ deposition by increasing the maturation of ADAM10, although it did not alter the expression of BACE1 and PS1. Further electrophysiological and behavioral experiments showed that GALM overexpression significantly ameliorated the deficits in hippocampal CA1 long-term potentiation (LTP) and spatial learning and memory in AD model mice. Importantly, direct α-D-G (20 mg/kg, i.p.) also inhibited Aβ deposition by increasing the maturation of ADAM10, thereby improving hippocampal CA1 LTP and spatial learning and memory in AD model mice. Taken together, our results indicate that GALM shifts APP processing towards α-cleavage, preventing Aβ generation by increasing the level of mature ADAM10. These findings indicate that GALM may be a potential therapeutic target for AD, and α-D-G has the potential to be used as a dietary supplement for the prevention and treatment of AD.
Animals ; ADAM10 Protein/metabolism* ; Alzheimer Disease/pathology* ; Amyloid Precursor Protein Secretases/metabolism* ; Disease Models, Animal ; Humans ; Mice ; Amyloid beta-Peptides/metabolism* ; Male ; Mice, Transgenic ; Membrane Proteins/metabolism* ; Cognitive Dysfunction/pathology* ; Mice, Inbred C57BL ; Amyloid beta-Protein Precursor/metabolism* ; Female ; Hippocampus/metabolism* ; Long-Term Potentiation/physiology*

Objective:To systematically evaluate the predictive value of the reverse shock index multiplied by the Glasgow coma scale score (rSIG) for mortality of trauma patients.Methods:A comprehensive literature search was conducted to identify studies on the predictive value of rSIG for mortality of trauma patients in the following databases from inception to April 2025, including CNKI, Wanfang Data, SinoMed, PubMed, Cochrane Library, Web of Science, and Embase. Two investigators independently screened the literature, extracted data, and assessed study quality according to predefined inclusion and exclusion criteria. The Quality assessment of diagnostic accuracy studies-2 (QUADAS-2) tool was used to evaluate the risk of bias in the included studies. Meta analysis was performed using Stata 17.0 software with a bivariate mixed-effects model. The following metrics were used to assess the predictive value of rSIG for mortality in trauma patients, including sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristic (SROC) curve (AUC). The influence of various factors on the predictive performance of rSIG was examined, including injury type, study design, region, sample size, cut-off value, rSIG measurement time, and outcome measures. Additionally, sensitivity analysis, Fagan′s nomogram, and Deeks′ funnel plot were employed to assess the robustness of the findings, clinical applicability, and publication bias.Results:A total of 15 studies involving 710 612 trauma patients were included, 26 105 of whom were deceased. Meta analysis results showed that rSIG had a pooled sensitivity of 0.78(95% CI 0.71, 0.84), a pooled specificity of 0.78(95% CI 0.68, 0.86), a pooled PLR of 3.60(95% CI 2.46, 5.27), a pooled NLR of 0.28(95% CI 0.22, 0.36), a pooled DOR of 12.70(95% CI 8.10, 19.91), and an AUC of 0.85(95% CI 0.81, 0.87) for predicting mortality of trauma patients. Subgroup analysis identified injury type as one of the major sources of heterogeneity, and the predictive specificity of rSIG was significantly higher in patients with multiple trauma (0.82) than in those with isolated traumatic brain injury (0.65) ( P<0.05). Sensitivity analysis indicated that the findings were robust and stable. Fagan′s nomogram showed that when the pre-test probability was 7%, the post-test probability of death increased to 21% in patients with low rSIG and decreased to 2% in those with high rSIG. Deeks′ funnel plots suggested no significant publication bias among the included studies ( P>0.05). Conclusion:Low rSIG has good predictive performance for mortality of trauma patients and can serve as an effective tool for early and rapid prognosis assessment with superior predictive performance in patients with multiple trauma compared to those with traumatic brain injury.

Objective:To investigate the clinical value of 18F-NaF PET/CT coronary plague imaging in evaluating the long-term prognosis of patients with coronary artery disease (CAD). Methods:A retrospective cohort study was conducted among 54 patients (37 males and 17 females, aged (57.2±9.8) years) diagnosed with CAD from a multicenter study between September 2015 and October 2022. All patients underwent 18F-NaF PET/CT and coronary angiography (CAG) within 1 week, and the PET/CT imaging was performed at the First Hospital of Shanxi Medical University. Major adverse cardiovascular events (MACE) were followed up. ROC curves were established to obtain the optimal thresholds of SUV max and accumulated SUV max of all lesions of main coronary artery branches (S-SUV max) for predicting MACE. Cox proportional risk model and Kaplan-Meier method (log-rank test) were used to analyze the predictive value of PET parameters for MACE. Differences in metabolic parameters between 2 groups were compared by Mann-Whitney U test. Results:The median follow-up time of the 54 patients was 6.0(1.8, 6.6) years, and 13(24.1%) patients developed MACE, including 7 deaths, 5 myocardial infarction and 1 severe arrhythmia. S-SUV max in MACE group was significantly higher than that in the non-MACE group (2.64(2.08, 4.49) vs 1.83(0.95, 2.90); Z=-2.04, P=0.041). ROC curve showed that the optimal threshold of S-SUV max for MACE prediction was 2.05 (AUC=0.690). Multivariate Cox analysis showed that S-SUV max was a strong predictor of MACE (hazard ratio ( HR)=2.434(95% CI: 1.547-3.828), P<0.001). ROC curve showed that the optimal threshold of SUV max to predict MACE was 0.55 (AUC=0.659), and univariate Cox analysis showed that SUV max was a factor to predict MACE ( HR=10.192 (95% CI: 2.667-38.953), P=0.001). In 25 patients with incomplete revascularization (ICR), Kaplan-Meier analysis showed that the incidence of MACE in patients with positive 18F-NaF uptake (single medium stenosis (40%-70%) with SUV max≥0.55) was significantly higher than that in patients with negative 18F-NaF uptake (5/14 vs 0/11; χ2=6.07, P=0.014). Conclusions:18F-NaF PET/CT can be used as an independent predictor of MACE in patients with CAD and can quantitatively assess the long-term progression of moderate coronary artery stenosis. In the future, it is expected to be a new non-invasive way to guide the revascularization treatment decision of multi-vessel CAD.

In recent years, artificial intelligence (AI) technology represented by deep learning (DL) has developed rapidly, and smart medical care has become one of the most important application areas of AI. As the most accurate noninvasive test to assess myocardial blood flow, myocardial perfusion imaging (MPI) has important clinical values. At present, the use of DL algorithms to establish learning models for MPI images is still in the research stage, and more external verification and iterative updates are needed before it can be widely used in real time clinical practice. In this article, the application of DL algorithms in MPI is comprehensively elaborated to provide a basis and direction for further research.

Objective: To investigate the current status of milk tea consumption and its association with psychological distress among college students, so as to provide theoretial support for promoting the mental health of college students. Methods: From September to November 2023, a convenience sampling method was used to select 15 440 college students aged 17-24 from seven universities in Shanghai, Jiangxi, Hubei, and Shanxi. A self designed questionnaire and the Kessler Psychological Distress Scale were used to assess milk tea consumption and psychological distress, respectively. The Mantel-Haenszel test was employed to analyze the trend of psychological distress at different levels of milk tea consumption. Binary Logistic regression analysis was used to determine the association between milk tea consumption and psychological distress, and the restricted cubic spline method was applied to explore the nonlinear relationship between milk tea consumption and symptoms of psychological distress. Results: The detection rate of psychological distress among college students was 59.6%. Univariate analysis indicated a significant trend association between milk tea consumption frequency ( χ 2 trend =42.33) and milk tea intake level ( χ 2 trend = 5.17 ) with psychological distress ( P <0.05). Binary Logistic regression models showed a positive association between different levels of milk tea consumption frequency and psychological distress [1-3 times (mild to moderate distress, OR =1.20,1.41), 4-5 times (mild to severe distress, OR =2.80,5.44,4.12), and ≥6 times (severe distress, OR =8.04); and milk tea intake level: 1-1 500 mL (severe distress, OR =1.35), >1 500- <3 000 mL (mild to moderate distress, OR =1.21, 1.35), ≥3 000 mL (mild to severe distress, OR =1.33,1.71,1.29)] ( P <0.05 ). The restricted cubic spline model showed a nonlinear association between milk tea intake and the risk of psychological distress ( F = 107.34 , P non linear <0.01, P overall <0.01). Conclusions High frequency and high volume milk tea consumption are associated with an increased risk of psychological distress among college students. Reducing the consumption behavior of college students milk tea is helpful to improve mental health.

Objective: To investigate the association between consumption of milk tea beverages and other sugary beverages with insomnia symptoms among college students, so as to the provide reference for promoting sleep quality among college students. Methods: From September to November 2023, a convenience sampling method was used to select 15 440 college students from seven universities in Shanghai, Jiangxi Province, Hubei Province, and Shanxi Province. A self developed questionnaire and the Insomnia Severity Index were used to assess milk tea beverage consumption, other sugary beverages and insomnia symptoms. Univariate analysis of insomnia symptoms among college students was performed using Chi square tests and Cochran-Armitage trend χ 2 tests. Multivariate Logistic regression analysis was conducted for the association between milk tea and other sugary beverage consumption with insomnia symptoms. Results: The detection rates of insomnia symptoms among college students was 40.83%. The frequency of consumption of different milk tea and various sugary drinks (juice, tea, milk, sodas,yogurt, functional drinks, coffee) per week was related to the detection trend rate of insomnia symptoms of college students ( χ 2 trend =38.38, 47.66, 74.16, 32.44, 65.78 , 38.71, 35.94, 91.59, P < 0.01 ). Multivariate analysis indicated that compared to individuals with no milk tea consumption, college students engaging in milk tea consumption had a significantly increased risk of insomnia symptoms ( OR =1.24, P <0.05). Students consuming milk tea at low to moderate frequencies (1-3, 4-5 times per week) showed a higher risk of insomnia symptoms compared to those with no consumption ( OR =1.20, 1.54, P <0.05). Furthermore, higher levels of milk tea consumption were significantly associated with insomnia symptoms (1 501-2 999 mL, OR =1.22; ≥3 000 mL, OR =1.36), and the consumption of other sugary beverages were also associated with insomnia symptoms of college students ( OR =1.10-1.55) ( P <0.05). Conclusions There is a relationship between consumption of milk tea beverage other sugary beverages with insomnia symptoms among college students. Colleges should regularly conduct dietary health education seminars to improve sleep quality among college students.