Prediction of survival of persons with advanced dementia using the advanced dementia prognostic tool: A 2-year prospective study

作者全名："Liu, Junjin; Li, Xuebing; Yu, Weihua; Liu, Bei; Yu, Wuhan; Zhang, Wenbo; Hu, Cheng; Qin, Zhangjin; Chen, Yu; Lu, Yang"

作者地址："[Liu, Junjin; Li, Xuebing; Liu, Bei; Yu, Wuhan; Zhang, Wenbo; Lu, Yang] Chongqing Med Univ, Dept Geriatr, Affiliated Hosp 1, 1 Youyi Rd, Chongqing 400016, Peoples R China; [Yu, Weihua; Hu, Cheng; Qin, Zhangjin; Chen, Yu] Chongqing Med Univ, Inst Neurosci, Chongqing 400016, Peoples R China"

通信作者："Lu, Y (通讯作者)，Chongqing Med Univ, Dept Geriatr, Affiliated Hosp 1, 1 Youyi Rd, Chongqing 400016, Peoples R China."

来源：GERIATRIC NURSING

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001114387700001

JCR分区：Q2

影响因子：2.7

年份：2024

卷号：55

期号：　

开始页：64

结束页：70

文献类型：Article

关键词：Advanced dementia; ADEPT; Survival prediction; Mortality

摘要："Background: In this prospective study, we evaluated the usefulness of the advanced dementia prognostic tool (ADEPT) for estimating the 2-year survival of persons with advanced dementia (AD) in China. Methods: The study predicted the 2-year mortality of 115 persons with AD using the ADEPT score. Results: In total, 115 persons with AD were included in the study. Of these persons, 48 died. The mean ADEPT score was 13.0. The AUROC for the prediction of the 2-year mortality rate using the ADEPT score was 0.62. The optimal threshold of the ADEPT score was 11.2, which had an AUROC of 0.63, specificity of 41.8, and sensitivity of 83.3. Conclusions: The ADEPT score based on a threshold of 11.2 may serve as a prognostic tool to determine the 2year survival rate of persons with AD in Chongqing, China. However, further studies are needed to explore the nature of this relationship."

基金机构："Chongqing Talent Plan [cstc2022ycjh-bgzxm0184]; Key Project Technological Innovation and Application Development of Chongqing Science & Technology Bureau [cstc2021jscx-gksb-N0020]; Science Innovation Programs Led by the Academicians Chongqing [cstc2020yszx-jscxX0006]; Intelligent Medicine Program of Chongqing Medical University [ZHYX2019008, ZHYX202110]"

基金资助正文：This work was supported by grants from the Chongqing Talent Plan (grant number cstc2022ycjh-bgzxm0184) ; the Key Project Technological Innovation and Application Development of Chongqing Science & Technology Bureau (grant number cstc2021jscx-gksb-N0020) ; the Science Innovation Programs Led by the Academicians Chongqing (grant number cstc2020yszx-jscxX0006) ; and the Intelligent Medicine Program of Chongqing Medical University (grant numbers ZHYX2019008 and ZHYX202110) .