The Generation Process, Impurity Removal and High-Value Utilization of Phosphogypsum Material.

As phosphogypsum constitutes a large amount of solid waste material, its purification treatment and comprehensive utilization have close connection with economic development and ecological environmental protection. For the moment, the storage quantity of phosphogypsum is still rising as a result of the increasing phosphate fertilizer production to meet the food demand in China. This paper summarizes the generation process, impurity removal treatment (physical method, chemical method, heat method), high-value utilization (nanometer calcium sulfate whisker, nanometer calcium carbonate) of phosphogypsum material and some existing problems. It puts forward some views on the challenges in this field and the direction of future development. It is hoped that the investigation and summary in this paper could supply some significant information for the impurity removal and high-value utilization of phosphogypsum material as a contribution to sustainability.

Development and External Validation of a Dynamic Nomogram With Potential for Risk Assessment of Ruptured Multiple Intracranial Aneurysms.

BACKGROUND AND PURPOSE: About 20.1% of intracranial aneurysms (IAs) carriers are multiple intracranial aneurysms (MIAs) patients with higher rupture risk and worse prognosis. A prediction model may bring some potential benefits. This study attempted to develop and externally validate a dynamic nomogram to assess the rupture risk of each IA among patients with MIA. METHOD: We retrospectively analyzed the data of 262 patients with 611 IAs admitted to the Hunan Provincial People's Hospital between November 2015 and November 2021. Multivariable logistic regression (MLR) was applied to select the risk factors and derive a nomogram model for the assessment of IA rupture risk in MIA patients. To externally validate the nomogram, data of 35 patients with 78 IAs were collected from another independent center between December 2009 and May 2021. The performance of the nomogram was assessed in terms of discrimination, calibration, and clinical utility. RESULT: Size, location, irregular shape, diabetes history, and neck width were independently associated with IA rupture. The nomogram showed a good discriminative ability for ruptured and unruptured IAs in the derivation cohort (AUC = 0.81; 95% CI, 0.774-0.847) and was successfully generalized in the external validation cohort (AUC = 0.744; 95% CI, 0.627-0.862). The nomogram was calibrated well, and the decision curve analysis showed that it would generate more net benefit in identifying IA rupture than the "treat all" or "treat none" strategies at the threshold probabilities ranging from 10 to 60% both in the derivation and external validation set. The web-based dynamic nomogram calculator was accessible on https://wfs666.shinyapps.io/onlinecalculator/. CONCLUSION: External validation has shown that the model was the potential to assist clinical identification of dangerous aneurysms after longitudinal data evaluation. Size, neck width, and location are the primary risk factors for ruptured IAs.

Development and assessment of machine learning models for predicting recurrence risk after endovascular treatment in patients with intracranial aneurysms.

Intracranial aneurysms (IAs) remain a major public health concern and endovascular treatment (EVT) has become a major tool for managing IAs. However, the recurrence rate of IAs after EVT is relatively high, which may lead to the risk for aneurysm re-rupture and re-bleed. Thus, we aimed to develop and assess prediction models based on machine learning (ML) algorithms to predict recurrence risk among patients with IAs after EVT in 6 months. Patient population included patients with IAs after EVT between January 2016 and August 2019 in Hunan Provincial People's Hospital, and an adaptive synthetic (ADASYN) sampling approach was applied for the entire imbalanced dataset. We developed five ML models and assessed the models. In addition, we used SHapley Additive exPlanations (SHAP) and local interpretable model-agnostic explanation (LIME) algorithms to determine the importance of the selected features and interpret the ML models. A total of 425 IAs were enrolled into this study, and 66 (15.5%) of which recurred in 6 months. Among the five ML models, gradient boosting decision tree (GBDT) model performed best. The area under curve (AUC) of the GBDT model on the testing set was 0.842 (sensitivity: 81.2%; specificity: 70.4%). Our study firstly demonstrated that ML-based models can serve as a reliable tool for predicting recurrence risk in patients with IAs after EVT in 6 months, and the GBDT model showed the optimal prediction performance.

[Clinical comprehensive evaluation of Danhong Injection in treatment of stroke with blood stasis syndrome].

This study systematically reviewed the existing research on Danhong Injection in the treatment of stroke with blood stasis syndrome. The methods of evidence-based medicine, epidemiology, clinical medicine, evidence-based pharmacy, drug economics, mathematical statistics, and health technology assessment(HTA) were employed to qualitatively and quantitatively evaluate the "6+1" dimensions(safety, effectiveness, economy, innovation, suitability, accessibility, and characteristics of traditional Chinese medicine) of Danhong Injection through questionnaire survey, public information, real world data, and secondary evaluation of literature. With the weights given by experts, the multi-criteria decision analysis(MCDA) model was employed to measure each dimension and highlight the clinical value of Danhong Injection. Multi-source safety evidence showed that Danhong Injection had been fully monitored and studied. The severity of adverse reactions was mostly moderate or mild, and the prognosis was good. So it was rated as grade A for safety. Compared with Ligustrazine Injection, Fufang Danshen Injection and conventional treatment of western medicine, Danhong Injection had obvious advantages in clinical response rate and NIHSS score improvement in the treatment of stroke with blood stasis syndrome. So it was rated as grade A for effectiveness. Compared with Ligustrazine Injection and Yinxing Damo Injection, Danhong Injection had a cost-effectiveness advantage in the treatment of stroke with blood stasis syndrome, and the economic results were good. According to the existing evidence, the Danhong Injection was rated as grade B for economy. Danhong Injection had won a number of national patents, which was rated as grade A for its good innovation in guaranteeing supply measures, scalability of production capacity, and production process. It had good suitability for clinicians, nurses, pharmacists, and patients using the drug, and met the needs of clinical medication, so it was rated as grade B for suitability. Danhong Injection is rich in medicinal materials, stable in price, and sustainable. However, its availability needed to be further improved due to the limitation of prescription use, so it was rated as grade B for accessibility. Danhong Injection can promote blood circulation, resolve blood stasis, warm vessels, and smooth collaterals. It had accumulated more than 30 000 pieces of empirical evidence for human use in the real world. It had prominent characteristics of traditional Chinese medicine and was rated as grade B. CSC v2.0 was used for calculation, and the clinical value of Danhong Injection was comprehensively evaluated as class A, which could be directly translated into relevant policy results of basic clinical medication management according to the Guidelines for the Management Clinical Comprehensive Evaluation of Drugs(trial version 2021).

[Analysis of status quo of outcome indicators of randomized controlled trials in treatment of acute ischemic stroke with acupuncture in recent three years].

To analyze the use of outcome indicators of randomized controlled trial(RCT) of acupuncture in the treatment of acute ischemic stroke in recent three years, so as to provide a basis for building a study on the core outcome indicators for the treatment of acute ischemic stroke with acupuncture. The RCTs of acupuncture treatment for acute ischemic stroke in recent three years were collec-ted through computer retrieval of eight Chinese and English databases and two clinical trial registries at home and abroad. Literature was screened out, and data was extracted. Risk of assessment bias tool Cochrane 6.1 was used for bias risk assessment, outcome indicators were summarized and analyzed. A total of 47 RCTs were included, and 3 studies were trials registration scheme. Outcome indicators were divided into 6 categories according to functional attributes, namely physical symptoms/signs, physical and chemical examination, quality of life, traditional Chinese medicine symptoms/syndromes, safety events and long-term prognosis. The study found that in addition to the common problems in previous studies covered by the status quo of outcome indicators selection of RCT of acupuncture in the treatment of acute ischemic stroke, there were also the other problems as follows: emphasis on macroscopic efficacy indicators but neglect of acupuncture specific indicators, lack of characteristic indicators and economic indicators of traditional Chinese medicine therapy, and unification of indicators measurement tool and measurement time point. In the future, the outcome indicators set for the treatment of acute ischemic stroke with acupuncture shall be established, and the core outcome indicators set shall be in line with the characteristics of traditional Chinese medicine treatment.