| Literature DB >> 30719021 |
John F Hodes1, Carlee I Oakley2, James H O'Keefe3, Peilin Lu4, James E Galvin5, Nabeel Saif6, Sonia Bellara6, Aneela Rahman6, Yakir Kaufman7, Hollie Hristov6, Tarek K Rajji8, Anne Marie Fosnacht Morgan9, Smita Patel9, David A Merrill10,11, Scott Kaiser11, Josefina Meléndez-Cabrero12, Juan A Melendez13, Robert Krikorian14, Richard S Isaacson6.
Abstract
The terms "prevention" and "risk reduction" are often used interchangeably in medicine. There is considerable debate, however, over the use of these terms in describing interventions that aim to preserve cognitive health and/or delay disease progression of Alzheimer's disease (AD) for patients seeking clinical care. Furthermore, it is important to distinguish between Alzheimer's disease prevention and Alzheimer's dementia prevention when using these terms. While prior studies have codified research-based criteria for the progressive stages of AD, there are no clear clinical consensus criteria to guide the use of these terms for physicians in practice. A clear understanding of the implications of each term will help guide clinical practice and clinical research. The authors explore the semantics and appropriate use of the terms "prevention" and "risk reduction" as they relate to AD in clinical practice.Entities:
Keywords: Alzheimer's disease prevention; dementia prevention; precision medicine; primary prevention; risk reduction; secondary prevention; tertiary prevention
Year: 2019 PMID: 30719021 PMCID: PMC6348710 DOI: 10.3389/fneur.2018.01179
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Figure 1Example clinical presentation of patients including primary, secondary and tertiary prevention of AD dementia with respect to age, cognitive function and disease pathology.
Modifiable risk factors for AD.
| Current Smoking | RR: 1.59 95% CI: 1.15-2.20 ( | 4.7 million AD cases worldwide may be attributable to smoking | A 25% reduction in the prevalence of smoking could potentially prevent 1 million AD cases globally |
| Mid-life Obesity (BMI > 30 kg/m2) | RR: 1.60 95% CI: 1.34-1.92 ( | 677,000 AD cases worldwide may be attributable to mid-life obesity | A 25% reduction in the prevalence of mid-life obesity could potentially prevent 166,000 AD cases globally |
| Physical inactivity | RR: 1.82 95% CI: 1.19- 2.78 ( | 4.3 million AD cases worldwide may be attributable to physical inactivity | A 25% reduction the prevalence of physical inactivity could potentially prevent 1 million AD cases globally |
| Low educational attainment | RR: 1.59 95% CI: 1.35-1.86 ( | 6.5 million AD cases worldwide may be attributable to low education | A 25% reduction in the prevalence of low educational attainment could potentially prevent 1.4 million AD cases globally |
| Diabetes mellitus | RR: 1.39 95% CI: 1.17-1.66 ( | 825,000 AD cases worldwide may be attributable to diabetes | A 25% reduction in the prevalence of diabetes could potentially prevent 200,000 AD cases globally |
| Major depressive disorder | RR: 1.90 95% CI: 1.55-2.33 ( | 3.6 million AD cases worldwide may be attributable to depression | A 25% reduction in the prevalence of depression could potentially prevent 826,000 AD cases globally |
| Mid-life Hypertension | OR: 1.61 95% CI: 1.16-2.24 ( | 1.7 million AD cases worldwide may be attributable to mid-life hypertension | A 25% reduction in the prevalence of mid-life hypertension could potentially prevent 400,000 AD cases globally |