Blood tests could transform Alzheimer's diagnosis, but real-world barriers remain
Experts map a two-phase pathway for using blood tests to diagnose early Alzheimer's, and name the data, resource and system gaps blocking clinic adoption.
Summary
Alzheimer's disease is usually diagnosed from symptoms, and 25%–35% of clinical diagnoses in specialized clinics turn out to be wrong. Spinal fluid tests and PET scans are more accurate but rarely used in primary care because they are invasive, costly and need special facilities. Blood tests with about 90% sensitivity and specificity could change that. In this perspective, ten clinicians and biomarker experts from seven countries proposed a diagnostic pathway. Specialists would use blood tests first, with confirmation by spinal fluid or PET at the start. Later, family doctors would use them to sort referrals. The experts say three obstacles stand in the way: too little real-world data, limited resources among non-specialist providers, and system-level barriers. More diverse studies and cooperation among stakeholders are needed before blood tests become routine.
Detailed Summary
Alzheimer's disease (AD) accounts for roughly 60%–80% of dementia cases and is the seventh leading cause of death worldwide. Yet diagnosis still leans on symptoms that appear once cognitive impairment already interferes with daily life. The authors note that 25%–35% of patients clinically diagnosed with AD in specialized clinics are misdiagnosed, and the rate is likely higher in primary care, where most people are first evaluated. Timely, accurate diagnosis matters because it allows better treatment strategy, lower societal and caregiver costs, and delayed institutionalization.
Cerebrospinal fluid (CSF) and PET biomarkers can detect AD pathology, but they are rarely used in routine care. Lumbar puncture is seen as invasive, PET involves ionizing radiation and high cost, and both need appropriately equipped facilities. High-performing blood-based biomarker (BBM) tests reach sensitivity and specificity of about 90%, making them a potentially cost-effective, minimally invasive alternative. This Perspective is not a new experiment. It reports an international roundtable of 10 experienced AD clinicians and biomarker experts from China, Germany, Japan, the Netherlands, Spain, Sweden and the United States.
The roundtable proposed that BBMs enter practice in two phases. In phase one, specialists would use two-cut-point BBM tests that give a high positive predictive value and a high negative predictive value, with an intermediate range between the cut-points. Initially, BBM-based diagnoses would be confirmed by CSF or PET, regardless of whether the result falls in the intermediate range. Shared decision-making between patient and clinician could add further validation. Results must always be interpreted within the full clinical context. In phase two, the same pathway would run routinely in non-specialist settings to streamline referrals to specialist centers.
The authors cite a US health-system simulation by Mattke and colleagues. Referring patients using the Mini-Mental State Examination (MMSE) alone or BBMs alone would increase specialist appointments and waitlists. Combining BBMs with the MMSE would shorten waiting times and potentially reduce costs, letting specialists focus on people with confirmed or highly likely AD.
The experts identified three main barriers: limited real-world data, resource gaps and system barriers. Data are thin for cognitively unimpaired people, for a wider range of dementia diagnoses, for patients with chronic kidney disease, obesity or other chronic conditions, and for racially and ethnically diverse populations. This matters because the prevalence of amyloid pathology in a population affects test performance. Prospective real-world studies testing non-inferiority against CSF and PET are also scarce.
Resource gaps are real. Non-specialist providers are often overburdened with little time per patient. Some consider CSF or PET testing unreasonable because of invasiveness, cost and perceived low benefit, and some family physicians may skip the initial cognitive assessment altogether. The paper is expert opinion, so it offers no effect sizes or p-values. Several authors are employed by Eli Lilly, which a reader should weigh. The authors conclude that BBMs could streamline diagnosis, but more real-world evidence and multi-stakeholder collaboration are needed first.
Key Findings
- AD causes about 60%–80% of dementia cases and is the seventh leading cause of death globally
- 25%–35% of patients clinically diagnosed with AD in specialized clinics are misdiagnosed, likely more in primary care
- High-performing blood-based biomarker tests achieve sensitivity and specificity of about 90%
- A roundtable of 10 clinicians and biomarker experts from 7 countries proposed a two-phase BBM diagnostic pathway
- Phase one: specialists use two-cut-point BBM tests with an intermediate range, initially confirmed by CSF or PET
- A US simulation found BBMs or MMSE alone would increase specialist waitlists, while combining them would reduce waiting times and potential costs
- Three barriers were named: limited real-world data, resource gaps and system barriers
Methodology
This is a Perspective article reporting a diagnostic roundtable of 10 experienced AD clinicians and biomarker experts from China, Germany, Japan, the Netherlands, Spain, Sweden and the USA. It is not a systematic review or trial. The group discussed how to implement BBMs to rule in or rule out AD pathology in specialist and non-specialist pathways and proposed a pathway (Figure 1). No formal consensus method, statistical analysis or new patient data are reported. Supporting numbers come from previously published literature, including a US health-system simulation by Mattke et al.
Study Limitations
The paper is based on expert opinion from a roundtable, with no new data, formal consensus methodology or quantified outcomes. Several authors are employed by Eli Lilly and Company, a developer of AD therapies, which may influence the framing. The authors acknowledge that real-world evidence on BBM performance in diverse and comorbid populations, and against CSF and PET in prospective studies, remains limited.
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