Surgical site infection following fasciotomy in patients with acute forearm compartment syndrome: a retrospective analysis of risk factors.

PURPOSE: Fasciotomy, a standard therapy for acute forearm compartment syndrome (AFCS), can prevent serious complications, but there may be significant postoperative consequences. Surgical site infection (SSI) may cause fever, discomfort, and potentially fatal sepsis. This study aimed to identify risk factors for SSI in AFCS patients who had undergone fasciotomy. MATERIALS AND METHODS: Patients with AFCS who had fasciotomies between November 2013 and January 2021 were recruited. We collected demographic information, comorbidities, and admission laboratory results. Analyses of continuous data were conducted using the t-test, the Mann-Whitney U test, and logistic regression analysis, while analyses of categorical data were conducted using the Chi-square and Fisher's exact tests. RESULTS: Sixteen AFCS patients (13.9%) suffered infections that need further therapy. Using the logistic regression analysis, we identified that patients with a history of diabetes (p = 0.028, OR = 16.353, 95% CI (1.357, 197.001)), open fractures (p = 0.026, OR = 5.239, 95% CI (1.223, 22.438)), and a higher level of TC (p = 0.004, OR = 4.871, 95% CI (1.654-14.350)) were the best predictors of SSI, while ALB levels (p = 0.004, OR = 0.776, 95% CI (0.653-0.924)) were protective for SSI in AFCS patients. CONCLUSIONS: Our results showed that open fractures, diabetes, and TC levels were relevent risk factors for SSI following fasciotomy in patients with AFCS, allowing us to personalize the risk assessment and apply early targeted interventions.

Active Vaccine Safety Surveillance: Global Trends and Challenges in China.

Importance. The great success in vaccine-preventable diseases has been accompanied by vaccine safety concerns. This has caused vaccine hesitancy to be the top 10 in threats to global health. The comprehensive understanding of adverse events following immunization should be entirely based on clinical trials and postapproval surveillance. It has increasingly been recognized worldwide that the active surveillance of vaccine safety should be an essential part of immunization programs due to its complementary advantages to passive surveillance and clinical trials.Highlights. In the present study, the framework of vaccine safety surveillance was summarized to illustrate the importance of active surveillance and address vaccine hesitancy or safety concerns. Then, the global progress of active surveillance systems was reviewed, mainly focusing on population-based or hospital-based active surveillance. With these successful paradigms, the practical and reliable ways to create robust and similar systems in China were discussed and presented from the perspective of available databases, methodology challenges, policy supports, and ethical considerations.Conclusion. In the inevitable trend of the global vaccine safety ecosystem, the establishment of an active surveillance system for vaccine safety in China is urgent and feasible. This process can be accelerated with the consensus and cooperation of regulatory departments, research institutions, and data owners.

[Expert consensus on the design and implementation of clinical safety centralized monitoring study of Chinese medical injection].

Along with the increase of clinical application, the safety of traditional Chinese medicine gained more and more attentions. In particular, the safety evaluation of Chinese medical injections has become a mandatory task should be completed by pharmaceutical companies under the supervision of China Food and Drug Administration(CFDA). Due to the weak foundation of previous studies, the safety issues of Chinese medical injections have not been fully understood, and lack of scientific and rational risk management programs. Clinical safety centralized monitoring(CSCM) is an important method for post-market safety evaluation of Chinese medicine. Due to the lack of appropriate norms and procedures, the quality of similar research is uneven, and the results vary. Combined with practical experience with experts' suggestions, we developed this expert consensus on the design and implementation of CSCM from three stages (design, implementation and report) with 20 technical points, which will provide technical support for future CSCM studies.

[Enlightenment of adverse reaction monitoring on safety evaluation of traditional Chinese medicines].

The adverse reaction monitoring is important in warning the risks of traditional Chinese medicines at an early stage, finding potential quality problems and ensuring the safe clinical medication. In the study, efforts were made to investigate the risk signal mining techniques in line with the characteristics of traditional Chinese medicines, particularly the complexity in component, processing, compatibility, preparation and clinical medication, find early risk signals of traditional Chinese medicines and establish a traditional Chinese medicine safety evaluation system based on adverse reaction risk signals, in order to improve the target studies on traditional Chinese medicine safety, effective and timely control risks and solve the existing frequent safety issue in traditional Chinese medicines.

[Safety and risk factor analysis on Polygoni Multiflori Radix base on ancient traditional Chinese medicine literatures].

Traditional Chinese medicine Polygoni Multiflori Radix is dried roots of Polygonaceae Polygortum multiflorum Thunb. Its clinical application records were first discovered in literatures of the Tang dynasty. The origins, efficacy, toxicity, processing and taboos of Polygoni Multiflori Radix have been discussed in many ancient herb literatures. In recent years, with the increase in the public awareness in health, Polygoni Multiflori Radix admits preparations have been more widely applied in the treatment and prevention of diseases. However, there have been more and more reports about Polygoni Multiflori Radix induced liver injury, the safety of Polygoni Multiflori Radix has increasingly attracted attention of the society. In this paper, the authors summarized and analyzed the toxicity and medication risk factors of Polygoni Multiflori Radix recorded in ancient herb literatures, and proposed that more attention shall be given to the effect of the planting and processing methods on the components and toxicity of Polygoni Multiflori Radix in safety studies, which provides clues for the further studies.

Liver Damage Associated with Polygonum multiflorum Thunb.: A Systematic Review of Case Reports and Case Series.

Objective. To summarize the characteristics and analysis of relevant factors and to give references for prevention and further study of liver damage associated with Polygonum multiflorum Thunb. (HSW), we provide a systematic review of case reports and case series about liver damage associated with HSW. Methods. An extensive search of 6 medical databases was performed up to June 2014. Case reports and case series involving liver damage associated with HSW were included. Results. This review covers a total of 450 cases in 76 articles. HSW types included raw and processed HSW decoction pieces and many Chinese patent medicines that contain HSW. Symptoms of liver damage occur mostly a month or so after taking the medicine, mainly including jaundice, fatigue, anorexia, and yellow or tawny urine. Of the 450 patients, two cases who received liver transplantation and seven who died, the remaining 441 cases recovered or had liver function improvement after discontinuing HSW products and conservative care. Conclusion. HSW causes liver toxicity and may cause liver damage in different degrees and even lead to death; most of them are much related to long-term and overdose of drugs. Liver damage associated with HSW is reversible, and, after active treatment, the majority can be cured. People should be alert to liver damage when taking HSW preparations.

[Establish research model of post-marketing clinical safety evaluation for Chinese patent medicine].

The safety of Chinese patent medicine has become a focus of social. It is necessary to carry out work on post-marketing clinical safety evaluation for Chinese patent medicine. However, there have no criterions to guide the related research, it is urgent to set up a model and method to guide the practice for related research. According to a series of clinical research, we put forward some views, which contained clear and definite the objective and content of clinical safety evaluation, the work flow should be determined, make a list of items for safety evaluation project, and put forward the three level classification of risk control. We set up a model of post-marketing clinical safety evaluation for Chinese patent medicine. Based this model, the list of items can be used for ranking medicine risks, and then take steps for different risks, aims to lower the app:ds:risksrisk level. At last, the medicine can be managed by five steps in sequence. The five steps are, collect risk signal, risk recognition, risk assessment, risk management, and aftereffect assessment. We hope to provide new ideas for the future research.

[Opportunity and challenge of post-marketing evaluation of traditional Chinese medicine].

Post-marketing evaluation is a process which evaluate the risks and benefits of drug clinical application comprehensively and systematically, scientific and systematic results of post-marketing evaluation not only can provide data support for clinical application of traditional Chinese medicine, but also can be a reliable basis for the supervision department to develop risk control measures. With the increasing demands for treatment and prevention of disease, traditional Chinese medicine has been widely used, and security issues are also exposed. How to find risk signal of traditional Chinese medicine in the early stages, carry out targeted evaluation work and control risk timely have become challenges in the development of traditional Chinese medicine industry.

[Advance in studies on toxicity of aristolochic acid and analysis on risk factors].

The renal toxicity and mutagenicity of aristolochic acid (AA) as well as its carcinogenicity on upper urinary tract transitional epithelial cells have been widely known. Since 2003, drug regulatory departments have successively cancelled the quality standards for AA-containing medicines such as Aristolochiae Radix, Aristolochiae Manshuriensis Caulis and Aristolchiae Fangchi Radix, and adopted measures for strengthening regulation and revising package insert or quality standards for other AA-containing medicines, including Aristolochia Cinnabarina Radix, Aristolochiae Fructus, Aristolochiae Mollissimae Herba, in order to control its safety risk. In recent years, domestic and foreign studies on AA have mainly involved action mechanism and clinical performance of AA toxicity, early-stage diagnosis and treatment method. In this paper, authors gave a brief summary and evaluation on risk factors for using AA-containing medicines, and offered measures and suggestions for preventing and controlling AA toxicity.

A computerized system for detecting signals due to drug-drug interactions in spontaneous reporting systems.

UNLABELLED: WHAT IS ALREADY KNOWN ABOUT THE SUBJECT: * Concomitant use of different drugs may yield excessive risk for adverse drug reactions and it is a challenging task to do surveillance on the safety profile of the interaction between different drugs. * Currently, several methods are used by pharmacoepidemiologists and statisticians to detect possible drug-drug interactions in spontaneous reporting systems. * However, with the increasing number of reports in the system, there is a growing need for a computerized system that could facilitate the process of data arrangement and detection of drug interaction. WHAT THIS STUDY ADDS: * We had already developed a computerized system to detect adverse drug reaction signals due to single drugs. * After the development of this system, interaction between different drugs could also be detected automatically and intelligently. AIMS: In spontaneous reporting systems (SRS), there is a growing need for the automated detection of adverse drug reactions (ADRs) resulting from drug-drug interactions. In addition, special attention is also needed for systems facilitating automated data preprocessing. In our study, we set up a computerized system to signal possible drug-drug interactions by which data acquisition and signal detection could be carried out automatically and the process of data preprocessing could also be facilitated. METHODS: This system was developed with Microsoft Visual Basic 6.0 and Microsoft Access was used as the database. Crude ADR reports submitted to Shanghai SRS from January 2007 to December 2008 were included in this study. The logistic regression method, the Omega shrinkage measure method, an additive model and a multiplicative model were used for automatic detection of drug-drug interactions where two drugs were used concomitantly. RESULTS: A total of 33 897 crude ADR reports were acquired from the SRS automatically. The 10 drug combinations most frequently reported were found and the 10 most suspicious drug-drug ADR combinations for each method were detected automatically after the performance of the system. CONCLUSIONS: Since the detection of drug-drug interaction depends upon the skills and memory of the professionals involved, is time consuming and the number of reports is increasing, this system might be a promising tool for the automated detection of possible drug-drug interactions in SRS.