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 language | English |
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Article number | 501 |
Number of pages | 16 |
Journal | BMC Medicine |
Volume | 22 |
Issue number | 1 |
DOIs | |
Publication status | Published - 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