Development and validation of new screening tool for predicting dementia risk in community-dwelling older Japanese adults

被引:6
作者
Makino, Keitaro [1 ,2 ]
Lee, Sangyoon [1 ]
Bae, Seongryu [1 ]
Chiba, Ippei [1 ]
Harada, Kenji [1 ]
Katayama, Osamu [1 ]
Shinkai, Yohei [1 ]
Shimada, Hiroyuki [3 ]
机构
[1] Natl Ctr Geriatr & Gerontol, Dept Prevent Gerontol, Ctr Gerontol & Social Sci, 7-430 Morioka Cho, Obu, Aichi 4748511, Japan
[2] Japan Soc Promot Sci, Chiyoda Ku, Tokyo, Japan
[3] Natl Ctr Geriatr & Gerontol, Ctr Gerontol & Social Sci, Obu, Aichi, Japan
关键词
Dementia prevention; Decision-tree; Machine learning; Risk prediction; MILD COGNITIVE IMPAIRMENT; FRAILTY; HEALTH; PREVALENCE; VALIDITY; PEOPLE;
D O I
10.1186/s12967-021-03121-9
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background Established clinical assessments for detecting dementia risk often require time, cost, and face-to-face meetings. We aimed to develop a Simplified Telephone Assessment for Dementia risk (STAD) (a new screening tool utilizing telephonic interviews to predict dementia risk) and examine the predictive validity of the STAD for the incidence of dementia. Methods We developed STAD based on a combination of literature review, statistical analysis, and expert opinion. We selected 12 binary questions on subjective cognitive complaints, depressive symptoms, and lifestyle activities. In the validation study, we used STAD for 4298 community-dwelling older adults and observed the incidence of dementia during the 24-month follow-up period. The total score of STAD ranging from 0 to 12 was calculated, and the cut-off point for dementia incidence was determined using the Youden index. The survival rate of dementia incidence according to the cut-off points was determined. Furthermore, we used a decision-tree model (classification and regression tree, CART) to enhance the predictive ability of STAD for dementia risk screening. Results The cut-off point of STAD was set at 4/5. Participants scoring >= 5 points showed a significantly higher risk of dementia than those scoring <= 4 points, even after adjusting for covariates (hazard ratio [95% confidence interval], 2.67 [1.40-5.08]). A decision tree model using the CART algorithm was constructed using 12 nodes with three STAD items. It showed better performance for dementia prediction in terms of accuracy and specificity as compared to the logistic regression model, although its sensitivity was worse than the logistic regression model. Conclusions We developed a 12-item questionnaire, STAD, as a screening tool to predict dementia risk utilizing telephonic interviews and confirmed its predictive validity. Our findings might provide useful information for early screening of dementia risk and enable bridging between community and clinical settings. Additionally, STAD could be employed without face-to-face meetings in a short time; therefore, it may be a suitable screening tool for community-dwelling older adults who have negative attitudes toward clinical examination or are non-adherent to follow-up assessments in clinical trials.
引用
收藏
页数:9
相关论文
共 30 条
  • [1] Almeida OP, 1999, INT J GERIATR PSYCH, V14, P858, DOI 10.1002/(SICI)1099-1166(199910)14:10<858::AID-GPS35>3.0.CO
  • [2] 2-8
  • [3] [Anonymous], 2017, P INT C INT ADV SYST
  • [4] Quad-phased data mining modeling for dementia diagnosis
    Bang, Sunjoo
    Son, Sangjoon
    Roh, Hyunwoong
    Lee, Jihye
    Bae, Sungyun
    Lee, Kyungwon
    Hong, Changhyung
    Shin, Hyunjung
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2017, 17
  • [5] SMOTE: Synthetic minority over-sampling technique
    Chawla, Nitesh V.
    Bowyer, Kevin W.
    Hall, Lawrence O.
    Kegelmeyer, W. Philip
    [J]. 2002, American Association for Artificial Intelligence (16)
  • [6] Multifactorial 10-Year Prior Diagnosis Prediction Model of Dementia
    Dallora, Ana Luiza
    Minku, Leandro
    Mendes, Emilia
    Rennemark, Mikael
    Anderberg, Peter
    Sanmartin Berglund, Johan
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (18) : 1 - 18
  • [7] Mild Cognitive Impairment, Slow Gait, and Risk of Disability: A Prospective Study
    Doi, Takehiko
    Shimada, Hiroyuki
    Makizako, Hyuma
    Tsutsumimoto, Kota
    Hotta, Ryo
    Nakakubo, Sho
    Suzuki, Takao
    [J]. JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION, 2015, 16 (12) : 1082 - 1086
  • [8] Depressive Symptoms Predict Incident Dementia in a Community Sample of Older Adults: Results From the Einstein Aging Study
    Ezzati, Ali
    Katz, Mindy J.
    Derby, Carol A.
    Zimmerman, Molly E.
    Lipton, Richard B.
    [J]. JOURNAL OF GERIATRIC PSYCHIATRY AND NEUROLOGY, 2019, 32 (02) : 97 - 103
  • [9] FOLSTEIN MF, 1983, ARCH GEN PSYCHIAT, V40, P812
  • [10] Remote cognitive and behavioral assessment: Report of the Alzheimer Society of Canada Task Force on dementia care best practices for COVID-19
    Geddes, Maiya R.
    O'Connell, Megan E.
    Fisk, John D.
    Gauthier, Serge
    Camicioli, Richard
    Ismail, Zahinoor
    [J]. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING, 2020, 12 (01)