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Comparison of inebilizumab or rituximab in addition to glucocorticoid therapy for neuromyelitis optica spectrum disorders
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作者 Chu-Yuan Lou Yong wang +4 位作者 Jia-Yuan Xing Teng Ma Lei Tao Xiao-Tang wang run-sheng wang 《International Journal of Ophthalmology(English edition)》 SCIE CAS 2024年第6期1073-1078,共6页
AIM:To investigate the short-term efficacy and safety of inebilizumab for neuromyelitis optica spectrum disorders(NMOSD).METHODS:A total of 33 patients with NMOSD treated with inebilizumab(Group INB,n=15)or rituximab(... AIM:To investigate the short-term efficacy and safety of inebilizumab for neuromyelitis optica spectrum disorders(NMOSD).METHODS:A total of 33 patients with NMOSD treated with inebilizumab(Group INB,n=15)or rituximab(Group RTX,n=18)in addition to high-dose glucocorticoids were included.Both groups underwent hormone shock therapy during the acute phase.Subsequently,Group INB received inebilizumab injections during the remission phase,while Group RTX received rituximab injections.A comparison of aquaporins 4(AQP4)titer values,peripheral blood B lymphocyte counts,and visual function recovery was conducted before and 8wk after treatment.Additionally,adverse reactions and patient tolerability were analyzed after using inebilizumab treatment regimes.RESULTS:Following inebilizumab treatment,there was a significantly improvement in the visual acuity of NMOSD patients(P<0.05),accompanied by a notable decrease in AQP4 titer values and B lymphocyte ratio(P<0.05).Moreover,inebilizumab treatment showed a partial effect in preventing optic nerve atrophy(P<0.05).However,there were no significant differences in other therapeutic effects compared to rituximab,which has previously demonstrated substantial therapeutic efficacy(P>0.05).Furthermore,inebilizumab exhibited higher safety levels than that of rituximab injections.CONCLUSION:The combination of inebilizumab and high-dose glucocorticoids proves to be effective.In comparison to rituximab injections,inebilizumab displays better tolerance and safety.Moreover,it demonstrates a partial effect in preventing optic nerve atrophy.Thus,it stands as an effective method to reduce the disability rates and improve the daily living ability of patients with NMOSD. 展开更多
关键词 neuromyelitis optica spectrum disorders inebilizumab RITUXIMAB GLUCOCORTICOIDS
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CRAO患者黄斑区视网膜血管密度及其与视网膜循环时间的关系 被引量:1
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作者 贾炜 刘沛洋 +6 位作者 王海燕 雷涛 王润生 张博 张磊 李娟 薛晓辉 《国际眼科杂志》 CAS 北大核心 2022年第7期1168-1172,共5页
目的:利用光学相干断层扫描血管成像(OCTA)观察视网膜中央动脉阻塞(CRAO)急性期患者黄斑区视网膜血管密度,并分析其与眼底荧光素血管造影(FFA)视网膜循环时间的关系。方法:回顾性病例分析。纳入2019-01/2021-03就诊于陕西省眼科医院且... 目的:利用光学相干断层扫描血管成像(OCTA)观察视网膜中央动脉阻塞(CRAO)急性期患者黄斑区视网膜血管密度,并分析其与眼底荧光素血管造影(FFA)视网膜循环时间的关系。方法:回顾性病例分析。纳入2019-01/2021-03就诊于陕西省眼科医院且临床诊断为CRAO急性期(病程≤7d)的患者43例43眼,均行FFA、OCTA、最佳矫正视力(BCVA)等检查及溶栓治疗。将治疗前OCTA显示患眼视网膜血管血流信号较对侧健眼增强或不变的患者纳入A组,OCTA显示患眼视网膜血管血流信号较对侧健眼降低的患者纳入B组。应用Image J软件处理OCTA图像评估治疗前黄斑区视网膜血管密度,FFA检查记录治疗前患眼视网膜循环时间。结果:A组患者患眼和对侧健眼视网膜血管密度均高于B组(25.08%±4.40%vs 12.24%±3.41%,25.72%±2.70%vs 17.89%±4.55%,均P<0.001),B组患者视网膜动脉主干-末梢充盈时间(FT)[96(20.50,193.50)s]较A组[11(5.00,19.50)s]延长(P<0.001)。病程、对侧健眼视网膜血管密度、FT是患眼视网膜血管密度的相关因素(均P<0.05),且影响强度由大到小依次是FT、病程、对侧健眼视网膜血管密度,其中病程、FT与患眼视网膜血管密度具有负相关性。结论:CRAO患者OCTA视网膜血管密度与FFA视网膜循环时间具有相关性。 展开更多
关键词 视网膜中央动脉阻塞(CRAO) 光学相干断层扫描血管成像 荧光素血管造影术 视网膜循环时间
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Machine Learning-Based Scoring System for Early Prognosis Evaluation of Patients with Coronavirus Disease 2019
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作者 Hao-Min Zhang Lei Shi +9 位作者 Hao-Ran Chen Jun-Dong Zhang Ge-Liang Liu Zi-Ning wang Peng Zhi run-sheng wang Zhuo-Yang Li Xi-Meng Chen Fu-Sheng wang Xue-Chun Lu 《Infectious Diseases & Immunity》 CSCD 2023年第2期83-89,共7页
Background The global spread of coronavirus disease 2019(COVID-19)continues to threaten human health security,exerting considerable pressure on healthcare systems worldwide.While prognostic models for COVID-19 hospita... Background The global spread of coronavirus disease 2019(COVID-19)continues to threaten human health security,exerting considerable pressure on healthcare systems worldwide.While prognostic models for COVID-19 hospitalized or intensive care patients are currently available,prognostic models developed for large cohorts of thousands of individuals are still lacking.Methods Between February 4 and April 16,2020,we enrolled 3,974 patients admitted with COVID-19 disease in the Wuhan Huo-Shen-Shan Hospital and the Maternal and Child Hospital,Hubei Province,China.(1)Screening of key prognostic factors:A univariate Cox regression analysis was performed on 2,649 patients in the training set,and factors affecting prognosis were initially screened.Subsequently,a random survival forest model was established through machine analysis to further screen for factors that are important for prognosis.Finally,multivariate Cox regression analysis was used to determine the synergy among various factors related to prognosis.(2)Establishment of a scoring system:The nomogram algorithm established a COVID-19 patient death risk assessment scoring system for the nine selected key prognostic factors,calculated the C index,drew calibration curves and drew training set patient survival curves.(3)Verification of the scoring system:The scoring system assessed 1,325 patients in the test set,splitting them into high-and low-risk groups,calculated the C-index,and drew calibration and survival curves.Results The cross-sectional study found that age,clinical classification,sex,pulmonary insufficiency,hypoproteinemia,and four other factors(underlying diseases:blood diseases,malignant tumor;complications:digestive tract bleeding,heart dysfunction)have important significance for the prognosis of the enrolled patients with COVID-19.Herein,we report the discovery of the effects of hypoproteinemia and hematological diseases on the prognosis of COVID-19.Meanwhile,the scoring system established here can effectively evaluate objective scores for the early prognoses of patients with COVID-19 and can divide them into high-and low-risk groups(using a scoring threshold of 117.77,a score below which is considered low risk).The efficacy of the system was better than that of clinical classification using the current COVID-19 guidelines(C indexes,0.95 vs.0.89).Conclusions Age,clinical typing,sex,pulmonary insufficiency,hypoproteinemia,and four other factors were important for COVID-19 survival.Compared with general statistical methods,this method can quickly and accurately screen out the relevant factors affecting prognosis,provide an order of importance,and establish a scoring system based on the nomogram model,which is of great clinical significance. 展开更多
关键词 COVID-19 Machine learning Prognosis model
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