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Risk Factors Determination on UGIB Patients in Kota Kinabalu, Sabah, Malaysia

机译:马来西亚沙巴亚庇的UGIB患者的危险因素确定

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One of the common causes of medical emergencies in Malaysia is the Upper Gastrointestinal Bleeding (UGIB). This bleeding comprises of two types, namely, the variceal bleeding and the non-variceal bleeding. Although, UGIB has been frequently researched in general, not much reference has been done with regard to the specific factors that affect the type of bleeding. Hence, this research aims at determining these factors via a Multiple Binary Logit (MBL) approach based on the patients? information obtained from the Queen Elizabeth Hospital in Kota Kinabalu. From the twenty-eight independent variables, three are quantitative would be analyzed, while twenty-five are qualitative would be transformed into dummy variables. Four phases in a model-building approach are executed to obtain the best model. The three qualitative variables (age, systolic blood pressure and Blatchford score) have interacted with the other dummy variables to affect the type of bleeding on the patients. The main contributing factors to the type of bleeding are identified as Race, Blood Urea Nitrogen and Medical Shock since they require no interactions with the other variables in the models.
机译:马来西亚医疗紧急情况的常见原因之一是上消化道出血(UGIB)。该出血包括两种类型,即静脉曲张性出血和非静脉曲张性出血。尽管UGIB通常进行了广泛的研究,但是对于影响出血类型的具体因素并没有太多参考。因此,本研究旨在通过基于患者的多二进制Logit(MBL)方法确定这些因素。从亚庇的伊丽莎白女王医院获得的信息。从28个自变量中,将分析三个是定量变量,而将25个定性变量转换为虚拟变量。执行模型构建方法的四个阶段以获得最佳模型。这三个定性变量(年龄,收缩压和Blatchford评分)已与其他虚拟变量相互作用,以影响患者的出血类型。识别出血类型的主要因素是种族,血尿素氮和医疗休克,因为它们不需要与模型中的其他变量相互作用。

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