Global, regional, and national levels and trends in burden of urticaria: A systematic analysis for the Global Burden of Disease study 2019.

Background: Urticaria places a significant burden on individuals and society due to its widespread nature. The aim of this study was to evaluate the burden of urticaria in different regions and nations by analysing data from the Global Burden of Disease study 2019 (GBD 2019), with the goal of providing information to health care policymakers. Methods: By utilising data from the GBD 2019 database, this study analysed metrics such as incidence, prevalence, disability-adjusted life years (DALYs), age-standardised rate (ASR), and estimated annual percentage changes (EAPC) globally and across 204 countries and regions. The data was further stratified by age, sex, and sociodemographic index (SDI). Results: In 2019, global incidence cases, prevalence cases, and overall disease burden as measured by DALYs all increased. The distribution of the burden exhibited marked geographical heterogeneity. At the regional level, the burden is highest in Central and Eastern Europe and Central Asia, with the strongest growth in South Asia, compared with a decline in the high-income Asia Pacific. At the country level, Nepal reports the highest burden of urticaria, while Portugal has the lowest. Gender and age analyses showed that the burden of urticaria is higher in females than in males, with urticaria cases declining with age, especially in children, and picking up among the elderly. The study also finds a correlation between the burden of urticaria and the SDI, with the central part of the SDI showing a consistent increasing trend. Conclusion: This study found that the global burden of urticaria has risen from 1990 to 2019. Factors like geographic location, gender, and SDI influenced the urticaria burden. Overall, these results offer a resource to guide public health strategies seeking to reduce the burden of urticaria.

Design and impact assessment of policies to overcome oversupply in China's national carbon market.

China has adopted a national carbon emissions trading market to promote emission reductions, but until now, overallocation of allowances suffer low carbon prices and thus to unfulfilled emission reduction goals. We report a general equilibrium modeling that indicates the flexible compliance and price adjustment mechanism of the carbon market, along with explores the solution to the oversupply of allowances in the China's national carbon market. We find that, under the current policy, the initial loose allowance allocation decreases the overall carbon price, and simultaneously the total amount of banked carbon allowances reaches 4.880 billion tons in 2030, resulting in the level of carbon price cannot achieve NDC (Nationally Determined Contribution) targets. However, by introducing carbon market price adjustment schemes, we observe that the cumulative amount of allowances can effectively reduce, enabling the carbon price rising. Importantly, the amount of the supply of allowances decreases most under the benchmark decrease scenario, which increases the emission reduction pressure of the enterprises from the beginning, leading to the largest economic losses, the price-based adjustment mechanism raises the carbon price to expected level at the minimize economic losses, and the quantity-based adjustment mechanism is more sensitive to policy parameters compared to the price -based adjustment mechanism. These findings offer a promising avenue for selecting cost-effective price adjustment mechanism to improve price mechanism design for national carbon markets.

The economic burden of autism spectrum disorder with and without intellectual disability in China: A nationwide cost-of-illness study.

OBJECTIVE: The economic burden of autism spectrum disorder (ASD) on individuals, their families and society as a whole is poorly understood. Accurate figures are crucial for economic estimates and service planning. METHODS: The total lifetime individual costs and annual societal costs of ASD in China were estimated with a prevalence-based, gross cost of illness approach and data from multiple sources. The direct medical costs in outpatient and inpatient settings from the electronic health records (EHRs) of hospitals, and direct nonmedical costs from a national survey were included. The indirect costs were from both the national survey and the estimation using human capital methods. Age-specific lifetime incremental societal costs were measured. Comorbidity-related and unrelated costs were analyzed separately. RESULTS: The discounted lifetime cost for an individual with ASD in China was $2.65 million (at 2020 prices, $) for those without intellectual disability (ID) and $4.61 million (at 2020 prices, $) for those with ID. The total cost of ASD amounted to $41.8 billion in 2020. Productivity loss were major cost drivers for ASD individuals without ID. Direct nonmedical costs (rehabilitation or adult care costs etc.) were major drivers for ASD individuals with ID. In a lifetime course, the total annual costs for middle aged and elderly (>42 years) were highest, followed by transitional adults (18-29 years) and preschoolers, both for individuals with or without ID. The distribution of costs over the lifespan varied by the cost category. CONCLUSIONS: ASD imposes a substantial economic burden on families and health care systems. Sectors and services coordination should be given policy considerations.

Hospitalization costs of COPD cases and its associated factors: an observational study at two large public tertiary hospitals in Henan Province, China.

BACKGROUND: The increasing prevalence of Chronic Obstructive Pulmonary Disease (COPD) has imposed a considerable economic burden. However, there remains a paucity of relevant evidence regarding the hospitalization costs of COPD cases. Therefore, in this study, we aimed to assess the hospitalization costs among COPD cases and investigate the factors that contribute to their costs in Henan Province, China. METHODS: We enrolled a total of 1697 cases who were discharged with a diagnosis of COPD from January 1, 2020 to December 31, 2020, into the study. Demographic and clinical characteristics of the cases were obtained from the hospital information system (HIS) of two large tertiary hospitals in Henan Province, China. The factors associated with hospitalization costs were examined using a multiple linear regression model. RESULTS: Total hospitalization costs of 1697 COPD cases were $5,419,011, and the median was $1952 (IQR:2031). Out-of-pocket fees accounted for 43.95% of the total hospitalization costs, and the median was $938 (IQR:956). Multiple linear regression analysis revealed that hospitalization costs were higher among older cases, cases with more comorbidities, and cases with longer length of stay. Furthermore, hospitalization costs were higher in cases who paid through private expenses compared to those covered by Urban Employee Basic Medical Insurance. Additionally, we found that cases admitted through an outpatient clinic had higher hospitalization costs than those admitted through the emergency department. CONCLUSION: Hospitalization costs of COPD cases are substantial. Strategies to reduce hospitalization costs, such as shortening LOS, optimizing payment plans, and preventing or managing complications, should be implemented to alleviate the economic burden associated with COPD hospitalizations.

Field evidences of fluorescent dissolved organic matter (FDOM) as potential fingerprints for agricultural and urban sources in river environment.

Field evidences of the fluorescence differences between agricultural and urban river reaches are still lack. In this study, the middle reaches of Danhe River (DH) and Mihe River (MH) in Shouguang, China, were designed as agricultural and urban river reaches, respectively, to compare the the fluorescence differences in disparate river reaches using excitation-emission matrix coupled with parallel factor analysis (EEM-PARAFAC). Three fluorescence components were identified. C1 (Ex/Em=230,255,295 nm/420 nm) was categorized as humic-like fluorophores, C2 (Ex/Em=230,275 nm/330 nm) was recognized as tryptophan-like substances, and C3 (Ex/Em=215 nm/290 nm) was noted as tyrosine-like and phenylalanine-like compounds. The results showed that the FDOM posed significant differences between agricultural and urban river reaches (P < 0.001). The monitoring sites in DH were rich in C2 (1.90 ± 0.62 Raman Unit (RU), mean ± standard deviation), and the monitoring sites in MH were rich in C3 (1.32 ± 0.51 RU). Redundancy analysis revealed that C2 could be regarded as a fluorescence indicator of agricultural sewage in river environment, while C3 was recognized as a fluorescence indicator of domestic sewage in river environment. In conclusion, this study provided field evidences of FDOM as potential fingerprints for agricultural and urban sources in river environment.

Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.

Recent years have witnessed the proliferation of techniques for streaming data mining to meet the demands of many real-time systems, where high-dimensional streaming data are generated at high speed, increasing the burden on both hardware and software. Some feature selection algorithms for streaming data are proposed to tackle this issue. However, these algorithms do not consider the distribution shift due to nonstationary scenarios, leading to performance degradation when the underlying distribution changes in the data stream. To solve this problem, this article investigates feature selection in streaming data through incremental Markov boundary (MB) learning and proposes a novel algorithm. Different from existing algorithms focusing on prediction performance on off-line data, the MB is learned by analyzing conditional dependence/independence in data, which uncovers the underlying mechanism and is naturally more robust against the distribution shift. To learn MB in the data stream, the proposal transforms the learned information in previous data blocks to prior knowledge and employs them to assist MB discovery in current data blocks, where the likelihood of distribution shift and reliability of conditional independence test are monitored to avoid the negative impact from invalid prior information. Extensive experiments on synthetic and real-world datasets demonstrate the superiority of the proposed algorithm.

Rapid and Economical Chemoselective Metabolomics Using Boronate Ester Formation on a Monolithic Substrate.

Although chemoselective labeling strategies show great potential in in-depth description of metabolomics, the associated time and expense limit applications in high-throughput and routine analysis. We report a fast and effective chemoselective labeling strategy based on multifunctionalized monolithic probes. A rapid pH-responsive boronate ester reaction was employed to immobilize and release probe molecules from substrate in 5 min. The mesoporous surface and hierarchically porous channels of the substrate allowed for accelerated labeling reactions. Moreover, the discernible boron beacons allowed for recognition of labeled metabolites with no need for expensive isotopic encoding. This new strategy has been successfully used for submetabolome analysis of yeast cells, serum, and faeces samples, with improved sensitivity for short chain fatty acids up to 1 600 times compared with non-labeled liquid chromatography-mass spectrometry (LC-MS) methods.

Epidemiology, Management, and Long-Term Survival Outcomes of Intracranial Typical Site Germinomas: An Analysis of the Surveillance, Epidemiology, and End-Results (SEER) Database.

BACKGROUND: The correlations of epidemiological characteristics and clinical outcomes with different tumor sites in patients with intracranial typical site germinomas (ICTSGs) have not yet been well established. We analyzed ICTSGs using a multicenter database, focusing on its demographic, management patterns, and long-term survival outcomes. METHODS: Patients diagnosed with ICTSGs were selected from the Surveillance, Epidemiology, and End-Results (SEER) database. Demographic information and management patterns of ICTSGs were extracted for data analysis stratified by different tumor sites. Kaplan-Meier curves were used to evaluate the survival outcome stratified by treatment, tumor site and tumor size. RESULTS: Among the 327 patients enrolled in the study, 16.21% had tumors located in the suprasellar region and 83.79% in the pineal region. The proportion of males was significantly higher among pineal germinomas (94.16 vs 66.04%; P < .001). Smaller tumors (<24 mm) were more common in the suprasellar region (37.74 vs 18.87%; P < .001). A higher percentage of patients with suprasellar germinomas underwent surgery. Radiotherapy (RT) and chemotherapy (CT) was, respectively, administered to 82.97 and 60.61% of patients during the treatment period, with no significant difference between suprasellar and pineal germinomas. CT plus RT was the most common treatment modality for both pituitary (30.19%) and pineal (33.94%) germinomas. Both RT and CT were associated with improved long-term survival. No survival difference was observed between suprasellar and pineal germinomas. CONCLUSIONS: Despite significant differences in epidemiology and management, pineal and suprasellar germinomas had a similar long-term clinical outcome.

Synthesis of Low Cost Titanium Silicalite-1 Zeolite for Highly Efficient Propylene Epoxidation.

Developing an effective and low-cost system to synthesize titanium silicalite-1 (TS-1) zeolite is desirable for a range of industrial applications. To date, the poor catalytic activity of the synthesized zeolite due to the low amount of framework titanium and large crystal size is the main obstacle limiting the widespread application of this material. Moreover, a large amount of wastewater is often produced by the existing synthesis process. Herein, a green and sustainable route for synthesizing small-crystal TS-1 with a high fraction of framework Ti was demonstrated via a seed-assisted method using a tetrapropylammonium bromide (TPABr)-ethanolamine hydrothermal system. The influence of the synthesis conditions on the physicochemical properties and catalytic activities of TS-1 was investigated. With the assistance of nanosized S-1 seeds, the incorporation of Ti into the framework of TS-1 was promoted, and the crystallization rate was effectively accelerated. After alkaline etching, the obtained hierarchical TS-1 had higher catalytic activity towards propylene epoxidation with an extremely high turnover frequency of 1,650 h-1. Furthermore, the mother liquid during the hydrothermal reaction could be reused for the next synthesis procedure. Consequently, utilization ratios of both ethanolamine and TPABr exceeding 95% were achieved by recycling the mother liquid. This low-cost approach for reducing wastewater could be easily scaled up to provide a promising synthesis method for the industrial production of TS-1 and other topological zeolites.

Assessment of prostate imaging reporting and data system version 2.1 false-positive category 4 and 5 lesions in clinically significant prostate cancer.

PURPOSE: To determine the incidence and false-positive rates of clinically significant prostate cancer (CSPC) in prostate imaging reporting and data system (PI-RADS) category 4 and 5 lesions using PI-RADS v2.1. METHODS: One hundred and eighty-two lesions in 169 subjects with a PI-RADS score of 4 or 5 were included in our study. Lesions with clinically insignificant prostate cancer (CIPC) or benign pathologic findings were reviewed and categorized by a radiologist. The initial comparison of demographic and clinical data was performed by t-test and χ2 test, and then the logistic regression model was used to determine factors associated with CIPC or benign pathological findings. RESULTS: Of the 182 PI-RADS category 4 and 5 lesions, 84.6% (154/182) were prostate cancer (PCa), 73.1% (133/182) were CSPC, and 26.9% (49/182) were CIPC or benign pathologic findings. The false-positive cases included 44.9% (22/49) with inflammation, 42.9% (21/49) with CIPC, 8.2% (4/49) with BPH nodules and 4.1% (2/49) with normal anatomy cases. In multivariate analysis, factors associated with CIPC or benign features included those in both the peripheral zone (PZ) and central gland (CG) (odds ratio [OR] 0.062; p = 0.003) and a low prostate-specific antigen density (PSAD) (OR 0.34; p = 0.012). CONCLUSION: The integration of clinical information (PSAD and lesion location) into mpMRI to identify lesions helps with obtaining a clinically significant diagnosis and decision-making.

Effect of Adhesive Debonding on the Performance of Piezoelectric Sensors in Structural Health Monitoring Systems.

Piezoelectric (PZT) ceramic elements are often subjected to complex loads during in- service lifetime in structural health monitoring (SHM) systems, and debonding of both excitation actuators and receiving sensors have a negative effect on the monitoring signals. A first systematic investigation of debonding behaviors by considering actuators and sensors simultaneously was performed in this paper. The debonding areas of actuators were set in different percentage range from 0% to 70%, and sensors in 0%, 20%, 40% and 60%. The signal-based monitoring method was used to extract the characteristic parameters of both the amplitudes and phases of received signals. Experimental results revealed that as the debonding areas of the actuators increase, the normalized amplitude appears a quick decrease before 35% debonding area of actuators and then a slow rise until 60% of debonding reached. This may be explained that the 35% debonding turning point correspond to the coincidence of the excitation frequencies of peripheral actuators with the inherent frequency of the central piezoelectric sensor, and the 60% be the result of the maximum ability of piezoelectric sensor. The degrees of debonding of actuators and sensors also have significant influence on the phase angle offset, with large debonding of actuators increases the phase offset sharply. The research work may provide useful information for practical monitoring of SHM systems.

Diffusion Kurtosis Imaging Combined With DWI at 3-T MRI for Detection and Assessment of Aggressiveness of Prostate Cancer.

OBJECTIVE: The objective of this study was to explore whether diffusion kurtosis imaging (DKI) combined with DWI can improve the performance of DWI in detection and assessment of aggressiveness of prostate cancer (PCa). MATERIALS AND METHODS: One hundred twenty patients with complete DK and MR images and diagnosis confirmed by prostate biopsy, including 67 patients with PCa and 53 patients with benign prostatic hyperplasia (BPH), were retrospectively analyzed. The patients with PCa were divided into a low-grade PCa group (Gleason score [GS] ≤ 3 + 3) and intermediate- and high-grade PCa group (GS ≥ 3 + 4). A DKI-derived parameter (i.e., apparent kurtosis coefficient [Kapp]) and a DWI-derived parameter (i.e., apparent diffusion coefficient [ADC]) were fitted. The intraclass correlation coefficient (ICC) test, t test, ROC curves, Delong test, and Spearman correlation were performed. RESULTS: Ninety ROIs in 67 patients with PCa were drawn, including ROIs in 37 low-grade tumors and ROIs in 53 intermediate- and high-grade tumors. PCa and intermediate- and high-grade PCa had significantly lower ADC values and significantly higher Kapp values than BPH and low-grade PCa (p < 0.01 for all). The AUCs of Kapp were significantly lower than the AUCs of ADC in the diagnosis (0.947 vs 0.978, p < 0.001) and grading (0.689 vs 0.894, p = 0.008) of PCa. The AUCs of the combination of the two metrics were significantly higher than the AUCs of Kapp for the diagnosis (0.979 vs 0.947, p = 0.013) and grading (0.934 vs 0.689, p < 0.001) of PCa and were higher than the AUCs of ADC without significance between groups (both p > 0.05). The combination of the two metrics significantly increased the specificity in grading of PCa compared with Kapp alone (0.838 vs 0.730, p = 0.035). CONCLUSION: Both ADC and Kapp can be used as quantitative parameters in detection and assessment of aggressiveness of PCa. The combination of DKI and DWI showed no significant superiority to DWI alone in detection and assessment of the aggressiveness of PCa.