Chinese version of the chronic urticaria quality of life questionnaire: cultural adaptation, factor analysis, assessment of reliability and validity.

Chronic urticaria is a common skin disorder that contributes profound impact on patients' quality of life (QoL). However, the cause of the disease is not clear, and the treatment still faces challenges. To better evaluate the effectiveness of treatment, an effective questionnaire survey on quality of life is needed. For the first time in Italy, a new questionnaire for chronic spontaneous urticaria, the chronic urticaria quality of life questionnaire (CU-Q2oL), has been developed. The purpose of this study was to develop and verify the Chinese version of the chronic urticaria quality of life questionnaire (CU-Q2oL). Three hundred and twenty-eight chronic urticaria patients were prospectively recruited and evaluated by the translated Chinese version of CU-Q2oL along with the Dermatology Life Quality Index (DLQI). Factor analysis, internal consistency, convergent validity, sensitivity to change and known-group validity were determined. Multiple linear regressions were used to determine the predicting factors of CU-Q2oL results. Factor analysis revealed a six-dimensional structure, and five of the six scales showed good internal consistency. Convergent validity and know-group validity showed good correlations. It was found to distinguish well between patients with different levels of urticaria activity and those to be sensitive to change in the Chinese CU-Q2oL. Disease severity was highly significantly predictive of the CU-Q2oL score on all scales. The CU-Q2oL Chinese version is a valid, reliable and sensitive instrument. It can be widely adopted to evaluate treatment outcomes and be applied in clinical research in Chinese patients.

Ultrafast synthesis of near-zero-cost S-doped Ni(OH)2 on C3N5 under ambient conditions with enhanced photocatalytic activity.

Planting highly efficient and low-cost Ni-based noble-metal-free active sites on semiconductors is of great significance in the field of photocatalysis. Herein, taking wide visible-light-responsive 2D C3N5 as a model semiconductor, an impressive near-zero-cost 2D S-doped nickel hydroxide (S-Ni(OH)2) is grown on C3N5 ultrafast within 30 min under ambient conditions by facile reaction between extremely low-cost Ni(NO3)2 and Na2S in aqueous solution. The fabricated 2D S-Ni(OH)2-C3N5 hybrid exhibits enhanced photocatalytic performance for both H2 production from water and NO removal for air purification. The H2 production rate on S-Ni(OH)2-C3N5 is ∼7 times higher than that of Ni(OH)2-C3N5 and even slightly higher than that of Pt-C3N5, demonstrating its potential as a candidate for noble metal catalysts like Pt. In particular, an apparent quantum yield (AQY) value of 30.9% at 420 nm for H2 production is reached on 1.0 wt% S-Ni(OH)2-C3N5 due to quick internal charge transfer efficiency. In addition, ∼42% of NO can be purified in a continuous flow reaction system. This work affords a cost-efficient strategy to steer the photocatalytic property of Ni-based catalysts.

Predicting the Risk of Psoriatic Arthritis in Plaque Psoriasis Patients: Development and Assessment of a New Predictive Nomogram.

Objective: This study aimed to develop a risk of psoriatic arthritis (PsA) predictive model for plaque psoriasis patients based on the available features. Methods: Patients with plaque psoriasis or PsA were recruited. The characteristics, skin lesions, and nail clinical manifestations of the patients have been collected. The least absolute shrinkage was used to optimize feature selection, and logistic regression analysis was applied to further select features and build a PsA risk predictive model. Calibration, discrimination, and clinical utility of the prediction model were evaluated by using the calibration plot, C-index, the area under the curve (AUC), and decision curve analysis. Internal validation was performed using bootstrapping validation. The model was subjected to external validation with two separate cohorts. Results: Age at onset, duration, nail involvement, erythematous lunula, onychorrhexis, oil drop, and subungual hyperkeratosis were presented as predictors to perform the prediction nomogram. The predictive model showed good calibration and discrimination (C-index: 0.759; 95% CI: 0.707-0.811). The AUC of this prediction model was 0.7578092. Excellent performances of the C-index were reached in the internal validation and external cohort validation (0.741, 0.844, and 0.845). The decision curve indicated good effect of the PsA nomogram in guiding clinical practice. Conclusion: This novel PsA nomogram could assess the risk of PsA in plaque psoriasis patients with good efficiency.

A literature review of current technologies on health data integration for patient-centered health management.

Health data integration enables a collaborative utilization of data across different systems. It not only provides a comprehensive view of a patient's health but can also potentially cope with challenges faced by the current healthcare system. In this literature review, we investigated the existing work on heterogeneous health data integration as well as the methods of utilizing the integrated health data. Our search was narrowed down to 32 articles for analysis. The integration approaches in the reviewed articles were classified into three classifications, and the utilization approaches were classified into five classifications. The topic of health data integration is still under debate and problems are far from being resolved. This review suggests the need for a more efficient way to invoke the various services for aggregating health data, as well as a more effective way to integrate the aggregated health data for supporting collaborative utilization. We have found that the combination of Web Application Programming Interface and Semantic Web technologies has the potential to cope with the challenges based on our analysis of the review result.

Identifying and assessing human activity impacts on groundwater quality through hydrogeochemical anomalies and NO3-, NH4+, and COD contamination: a case study of the Liujiang River Basin, Hebei Province, P.R. China.

In the face of rapid economic development and increasing human activity, the deterioration of groundwater quality has seriously affected the safety of the groundwater supply in eastern China. Identifying and assessing the impact of human activities is key to finding solutions to this problem. This study is an effort to scientifically and systematically identify and assess the influence of human activities on groundwater based on irregularities in hydrochemical properties and water contamination, which are considered to directly result from anthropogenic activity. The combination of the hydrochemical anomaly identification (HAI) and the contaminant identification (CI) was proposed to identify the influence of human activities on groundwater quality. And the degree of abnormality was quantified by the background threshold value. The principal component analysis (PCA) and land use map were used to verify the reliability of the identification result. The final result show that the strong influence areas mainly distributed in the south of the basin and the affected indicators contained the major elements and NO3-, NH4+, COD. Impacts from anthropogenic activities can be divided into two types: mine drainage that disrupts natural water-rock interaction processes, agricultural cultivation, and sewage emissions that contribute to nitrate pollution.