Objective:To identify the risk factors for poor prognosis following interventional treatment in the patients with postherpetic neuralgia (PHN) and construct a predictive model.Methods:The medical records from patients with PHN undergoing interventional therapy at the First Affiliated Hospital of Soochow University from March 2020 to August 2023 were retrospectively collected, including basic characteristics, past medical and surgical history, symptoms, medication therapy, clinical pain score, neutrophil/lymphocyte ratio (NLR) before interventional treatment and interventional treatment methods. Logistic regression analysis was used to identify the risk factors associated with poor prognosis following interventional treatment in PHN patients, and a nomogram predictive model for poor prognosis was constructed. The discrimination and calibration of the nomogram predictive model were evaluated using the C-index and Hosmer-Lemeshow test. Calibration curves and clinical decision curves were drawn to further verify the accuracy of the predictive model.Results:The results of the multivariate logistic regression analysis show that increasing age, prolonged disease duration, elevated NLR, use of immunosuppressants and use of pulsed radiofrequency were independent risk factors for poor prognosis following intervention treatment in PHN patients ( P<0.05). The nomogram predictive model for poor prognosis following PHN interventional treatment constructed based on these factors had a C-index of 0.844. Calibration curves showed good consistency between predicted probability of poor prognosis and actual incidence of poor prognosis. Clinical decision curves indicated that the predictive model provided good accuracy and net benefit. Conclusions:Increasing age, prolonged disease course, elevated NLR, use of immunosuppressants and use of pulsed radiofrequency are independent risk factors for poor prognosis following interventional treatment in the patients with PHN. The nomogram predictive model based on these factors can effectively predict the occurrence of poor prognosis in PHN patients undergoing interventional treatment.

Objective: To summarize the clinical effects of Shuxuening Injection on diseases and evaluate the quality of evidence to provide reference for the clinical application of Shuxuening Injection. Methods: Journal articles and conference papers were retrieved from the databases CNKI, Wanfang, VIP, CBM, EMbase, Pubmed and Cochrane with thematic word"Shuxuening"in Chinese and English, then all forms of clinical studies were screened and the disease types and frequency were analyzed, the dominant disease types of Shuxuening Injection were identified. Futhermore, RCT was extracted, and the literature quality was graded using the cochrane manual recommendation method, and its effectiveness and safety were evaluated. Results: All clinical research results show that Shuxuening Injection to treat disease with as many as 74 kinds of varieties, mainly circulation system disease and neural system disease, followed by endocrine disease, respiratory disease, scattered remaining research in ten other system diseases. These researches appeared with the highest frequency of the three diseases were cerebral infarction and its aftermath, angina pectoris and coronary heart disease, diabetes mellitus and its complication. A total of 337 RCT articles were included, all of which were of poor quality. In general, the efficiency of Shuxuening Injection treatment group was significantly higher than that of the control group, with a total efficiency of 84.48％. There were 21.96％ references to adverse reactions, but all of them were minor adverse reactions, such as pruritus, which generally got better by itself or after treatment. Conclusion:Shuxuening Injection has a wide range of clinical application and remarkable effect, especially for the ischemic diseases of cardiovascular and cerebrovascular diseases with good efficacy, less adverse reactions and safety. However, the quality of evidence is generally poor, which needs further study.