A single risk assessment for the most common diseases of ageing, developed and validated on 10 cohort studies

Md Hamidul Huque, Scherazad Kootar, Kim M. Kiely, Craig S. Anderson, Martin van Boxtel, Henry Brodaty, Perminder S. Sachdev, Michelle Carlson, Annette L. Fitzpatrick, Rachel A. Whitmer, Miia Kivipelto, Louisa Jorm, Sebastian Kohler, Nicola T. Lautenschlager, Oscar L. Lopez, Jonathan E. Shaw, Fiona E. Matthews, Ruth Peters, Kaarin J. Anstey*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

BackgroundWe aimed to develop risk tools for dementia, stroke, myocardial infarction (MI), and diabetes, for adults aged >= 65 years using shared risk factors.MethodsData were obtained from 10 population-based cohorts (N = 41,755) with median follow-up time (years) for dementia, stroke, MI, and diabetes of 6.2, 7.0, 6.8, and 7.4, respectively. Disease-free participants at baseline were included, and 22 risk factors (sociodemographic, medical, lifestyle, laboratory biomarkers) were evaluated. Two risk tools (DemNCD and DemNCD-LR based on Fine and Gray sub-distribution and logistic regression [LR], respectively) were developed and validated. Predictive accuracies of these risk tools were assessed using Harrel's C-statistics and area under the curve (AUC) and 95% confidence interval (CI). Model calibration was conducted using Hosmer-Lemeshow goodness of fit test along calibration plots.ResultsBoth the DemNCD and DemNCD-LR resulted in similar predictive accuracy for each outcome. The overall AUC (95% CI) for dementia, stroke, MI, and diabetes risk tool were 0<middle dot>68 (0<middle dot>65, 0<middle dot>70), 0<middle dot>58 (0<middle dot>54, 0<middle dot>61), 0<middle dot>65 (0<middle dot>61, 0<middle dot>68), and 0<middle dot>68 (0<middle dot>64, 0<middle dot>72), respectively, for males. For females, these figures were 0<middle dot>65 (0<middle dot>63, 0<middle dot>67), 0<middle dot>55 (0<middle dot>52, 0<middle dot>57), 0<middle dot>65 (0<middle dot>62, 0<middle dot>68), and 0<middle dot>61 (0<middle dot>57, 0<middle dot>65).ConclusionsThe DemNCD is the first tool to predict both dementia and multiple cardio-metabolic diseases using comprehensive risk factors and provided similar predictive accuracy to existing risk tools. It has similar predictive accuracy as tools designed for single outcomes in this age-group. DemNCD has the potential to be used in community and clinical settings as it includes self-reported and routinely available clinical measures.
Original languageEnglish
Article number501
Number of pages16
JournalBMC Medicine
Volume22
Issue number1
DOIs
Publication statusPublished - 31 Oct 2024

Keywords

  • Risk factors
  • Risk tool
  • Primary prevention
  • Dementia
  • Stroke
  • Diabetes
  • Heart attack
  • Risk prediction
  • CORONARY-HEART-DISEASE
  • DEMENTIA PREVENTION
  • CARDIOVASCULAR-DISEASE
  • ATHEROSCLEROSIS RISK
  • COGNITIVE FUNCTION
  • PRIMARY-CARE
  • PREDICTION
  • STROKE
  • MIDLIFE
  • DESIGN

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