灯盏细辛注射液临床不良反应主要为过敏反应,该研究基于全国20家三甲医院信息系统(hospital information system,HIS)数据库,采用巢式病例对照设计,将使用灯盏细辛注射液后使用地塞米松注射液的患者判断为发生可疑类过敏反应者,与可能...灯盏细辛注射液临床不良反应主要为过敏反应,该研究基于全国20家三甲医院信息系统(hospital information system,HIS)数据库,采用巢式病例对照设计,将使用灯盏细辛注射液后使用地塞米松注射液的患者判断为发生可疑类过敏反应者,与可能未发生过敏反应人群进行对比,应用单因素及多因素Logistic回归的方法,探讨入院病情、过敏史、单次用药剂量、疾病及合并用药与可疑类过敏反应发生的相关性。通过分析发现,入院病情对可疑类过敏反应有极显著影响,P为0.008 3,OR为5.642,在使用灯盏细辛注射液同时使用维生素B6注射液、注射用氨溴索时也可能发生可疑类过敏反应,P分别为0.000 2,0.016 7,OR分别为9.545,3.194。基于现有HIS数据及研究方法发现,患者入院病情、使用维生素B6注射液或注射用氨溴索可能为使用灯盏细辛注射液发生类过敏反应的危险因素,但仍需进一步研究加以验证。该研究结果可以为灯盏细辛注射液临床安全使用提供一定指导,也可为灯盏细辛注射液上市后临床安全性评价研究提供新方法。展开更多
Rudraprayag in Garhwal Himalayan division is one of the most vulnerable districts to landslides in India. Heavy rainfall, steep slope and developmental activities are important factors for the occurrence of landslides...Rudraprayag in Garhwal Himalayan division is one of the most vulnerable districts to landslides in India. Heavy rainfall, steep slope and developmental activities are important factors for the occurrence of landslides in the district. Therefore, specific assessment of landslide susceptibility and its accuracy at regional level is essential for disaster management and proper land use planning. The article evaluates effectiveness of frequency ratio, fuzzy logic and logistic regression models for assessing landslide susceptibility in Rudraprayag district of Uttarakhand state, India. A landslide inventory map was prepared and verified by field data. Fourteen landslide parameters and generated inventory map were utilized to prepare landslide susceptibility maps through frequency ratio, fuzzy logic and logistic regression models. Landslide susceptibility maps generated through these models were classified into very high, high, medium, low and very low categories using natural breaks classification. Receiver operating characteristics(ROC) curve, spatially agreed area approach and seed cell area index(SCAI) method were used to validate the landslide models. Validation results revealed that fuzzy logic model was found to be more effective in assessing landslide susceptibility in the study area. The landslide susceptibility map generated through fuzzy logic model can be best utilized for landslide disaster management and effective land use planning.展开更多
文摘Rudraprayag in Garhwal Himalayan division is one of the most vulnerable districts to landslides in India. Heavy rainfall, steep slope and developmental activities are important factors for the occurrence of landslides in the district. Therefore, specific assessment of landslide susceptibility and its accuracy at regional level is essential for disaster management and proper land use planning. The article evaluates effectiveness of frequency ratio, fuzzy logic and logistic regression models for assessing landslide susceptibility in Rudraprayag district of Uttarakhand state, India. A landslide inventory map was prepared and verified by field data. Fourteen landslide parameters and generated inventory map were utilized to prepare landslide susceptibility maps through frequency ratio, fuzzy logic and logistic regression models. Landslide susceptibility maps generated through these models were classified into very high, high, medium, low and very low categories using natural breaks classification. Receiver operating characteristics(ROC) curve, spatially agreed area approach and seed cell area index(SCAI) method were used to validate the landslide models. Validation results revealed that fuzzy logic model was found to be more effective in assessing landslide susceptibility in the study area. The landslide susceptibility map generated through fuzzy logic model can be best utilized for landslide disaster management and effective land use planning.
