치매 진단의 정확성을 높이기 위한 치매 종류별 특성의 비교 연구

As the aging of the population accelerates worldwide, dementia, a socially costly senile disease, is becoming a social problem. Dementia must be diagnosed correctly because dementia’s early detection is important. Thus in this study, 20 subgroups were analyzed based on the results of dementia diagnosis using the Korea Veterans Hospital's diagnosis information. We analyzed difference in proportions of gender, age, dementia’s diagnostic tests. There were 12(high risk group-dementia-vascular dementia), 15(low risk group-normal-alzheimer's disease), 16(low risk group-suspected dementia-alzheimer's disease), 20(low risk group-dementia-alzheimer's disease) subgroups with unusual patterns in the analysis of gender. As the result of analysis of age, 1(high risk group-normal-normal), 7(high risk group-high risk group of dementia-degenerative dementia), 10(high risk group-dementia-dementia), 15(low risk group-normal-alzheimer's disease), 19(low risk group-dementia-vascular dementia) subgroups showed unique appearance. There were 4(high risk group-MCI-MCI), 6(high risk group-suspected dementia-alzheimer's disease), 7(high risk group-high risk group of dementia-degenerative dementia), 10(high risk group-dementia-dementia) subgroups with unusual patterns in the analysis of second stage’s diagnostic test and 4(high risk group-MCI-MCI), 5(high risk group-suspected dementia-dementia), 6(high risk group-suspected dementia-alzheimer's disease), 7(high risk group-high risk group of dementia-degenerative dementia), 10(high risk group-dementia-dementia) subgroups with unusual patterns in the analysis of third stage’s diagnostic test. This study suggested a way to compare the characteristics of patients according to the type of dementia, and the analysis is meaningful in that it identifies subgroups that are characteristic. It is necessary to conduct the test effectively by utilizing the data of the existing examinee's characteristics such as the data presented in this study.