Comparing the short‐term and long‐term impact of primary and secondary prevention strategies on population‐level dementia burden: A microsimulation modelling study

Abstract Background Dementia prevention can be achieved through modification of risk factors (primary prevention) or targeted therapy against pathophysiological hallmarks of disease (e.g., amyloid‐lowering medication (secondary prevention)). To compare the effectiveness of primary and secondary prevention approaches on population dementia burden over time, we used a microsimulation approach. Method We used the microsimulation model MISCAN‐Dementia to simulate 10 million people born between 1910‐1989, in absence and presence of dementia prevention (Figure 1). For primary prevention, we assumed it is effective if there is no brain pathology, and dementia was attributable to risk factors. We assumed that primary prevention delays the presymptomatic stage by 12 months. For secondary prevention, we assumed patients are eligible for amyloid‐lowering treatment if they are in MCI or early dementia stage and are amyloid positive. We assumed that treatment increases MCI and mild dementia stage durations by 10%. To simulate these primary and secondary interventions, we incorporated a presymptomatic dementia stage (pathology present, no cognitive decline), amyloid status, and risk factor status in the model. Both interventions are initiated in 2025. We calculated the number of life years lived with dementia per 100.000 persons <85 years by disease stage. Result Benefits of primary prevention accrued slowly over time, from no benefit at 5 years post initiation, to around 8‐9% reduction in the number of life years with moderate‐severe dementia at 25 years after initiation. After 5 years, secondary prevention showed a 4.8% decrease in years lived with moderate dementia and 2.6% with severe dementia. This reduction increases to 5‐6% in 25 years (Figure 2). In case both interventions are applied, the effect is 0.5‐1% weaker than additive. The two modes of prevention are equally effective 19 years after initiation. Conclusion Compared to secondary prevention, primary preventive strategies can yield a larger reduction in life years with dementia, but benefits take a much longer time to accrue. These findings underline the need for combined primary and secondary prevention initiatives and sustained, long‐term efforts to achieve the full potential of dementia prevention in the population. Sensitivity analyses to examine the robustness of the findings need to be complemented.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.091332
Citations
1
Primary Topic
demographic modeling and climate adaptation
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article
Field-Weighted Citation Impact
0.49
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article

Comparing the short‐term and long‐term impact of primary and secondary prevention strategies on population‐level dementia burden: A microsimulation modelling study

Frank J. Wolters, Chiara C. Brück, Inge M.C.M. de Kok, Ron L. H. Handels et al.
1 citations
Alzheimer s & Dementia
demographic modeling and climate adaptation
0.49
article

Comparing the short‐term and long‐term impact of primary and secondary prevention strategies on population‐level dementia burden: A microsimulation modelling study

Frank J. Wolters, Chiara C. Brück, Inge M.C.M. de Kok, Ron L. H. Handels, Lynn van Rosmalen
article en
1 citations

Abstract

Abstract Background Dementia prevention can be achieved through modification of risk factors (primary prevention) or targeted therapy against pathophysiological hallmarks of disease (e.g., amyloid‐lowering medication (secondary prevention)). To compare the effectiveness of primary and secondary prevention approaches on population dementia burden over time, we used a microsimulation approach. Method We used the microsimulation model MISCAN‐Dementia to simulate 10 million people born between 1910‐1989, in absence and presence of dementia prevention (Figure 1). For primary prevention, we assumed it is effective if there is no brain pathology, and dementia was attributable to risk factors. We assumed that primary prevention delays the presymptomatic stage by 12 months. For secondary prevention, we assumed patients are eligible for amyloid‐lowering treatment if they are in MCI or early dementia stage and are amyloid positive. We assumed that treatment increases MCI and mild dementia stage durations by 10%. To simulate these primary and secondary interventions, we incorporated a presymptomatic dementia stage (pathology present, no cognitive decline), amyloid status, and risk factor status in the model. Both interventions are initiated in 2025. We calculated the number of life years lived with dementia per 100.000 persons <85 years by disease stage. Result Benefits of primary prevention accrued slowly over time, from no benefit at 5 years post initiation, to around 8‐9% reduction in the number of life years with moderate‐severe dementia at 25 years after initiation. After 5 years, secondary prevention showed a 4.8% decrease in years lived with moderate dementia and 2.6% with severe dementia. This reduction increases to 5‐6% in 25 years (Figure 2). In case both interventions are applied, the effect is 0.5‐1% weaker than additive. The two modes of prevention are equally effective 19 years after initiation. Conclusion Compared to secondary prevention, primary preventive strategies can yield a larger reduction in life years with dementia, but benefits take a much longer time to accrue. These findings underline the need for combined primary and secondary prevention initiatives and sustained, long‐term efforts to achieve the full potential of dementia prevention in the population. Sensitivity analyses to examine the robustness of the findings need to be complemented.

Alzheimer s & DementiaVol. 20(S7)
Erasmus MC (NL), Maastricht University (NL), Erasmus University Rotterdam (NL)
Openalex Percentile: Top 27%
demographic modeling and climate adaptation
0.49
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