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. 2023 Nov 27;15(1):207.
doi: 10.1186/s13195-023-01351-1.

Clinical outcomes up to 9 years after [18F]flutemetamol amyloid-PET in a symptomatic memory clinic population

Affiliations

Clinical outcomes up to 9 years after [18F]flutemetamol amyloid-PET in a symptomatic memory clinic population

Lyduine E Collij et al. Alzheimers Res Ther. .

Abstract

Background: Previous studies demonstrated increases in diagnostic confidence and change in patient management after amyloid-PET. However, studies investigating longitudinal outcomes over an extended period of time are limited. Therefore, we aimed to investigate clinical outcomes up to 9 years after amyloid-PET to support the clinical validity of the imaging technique.

Methods: We analyzed longitudinal data from 200 patients (Mage = 61.8, 45.5% female, MMMSE = 23.3) suspected of early-onset dementia that underwent [18F]flutemetamol-PET. Baseline amyloid status was determined through visual read (VR). Information on mortality was available with a mean follow-up of 6.7 years (range = 1.1-9.3). In a subset of 108 patients, longitudinal cognitive scores and clinical etiological diagnosis (eDx) at least 1 year after amyloid-PET acquisition were available (M = 3.06 years, range = 1.00-7.02). VR - and VR + patients were compared on mortality rates with Cox Hazard's model, prevalence of stable eDx using chi-square test, and longitudinal cognition with linear mixed models. Neuropathological data was available for 4 patients (mean delay = 3.59 ± 1.82 years, range = 1.2-6.3).

Results: At baseline, 184 (92.0%) patients were considered to have dementia. The majority of VR + patients had a primary etiological diagnosis of AD (122/128, 95.3%), while the VR - group consisted mostly of non-AD etiologies, most commonly frontotemporal lobar degeneration (30/72, 40.2%). Overall mortality rate was 48.5% and did not differ between VR - and VR + patients. eDx at follow-up was consistent with baseline diagnosis for 92/108 (85.2%) patients, with most changes observed in VR - cases (VR - = 14/35, 40% vs VR + = 2/73, 2.7%, χ2 = 26.03, p < 0.001), who at no time received an AD diagnosis. VR + patients declined faster than VR - patients based on MMSE (β = - 1.17, p = 0.004), episodic memory (β = - 0.78, p = 0.003), fluency (β = - 1.44, p < 0.001), and attention scores (β = 16.76, p = 0.03). Amyloid-PET assessment was in line with post-mortem confirmation in all cases; two cases were VR + and showed widespread AD pathology, while the other two cases were VR - and showed limited amyloid pathology.

Conclusion: In a symptomatic population, we observed that amyloid-status did not impact mortality rates, but is predictive of cognitive functioning over time across several domains. Also, we show particular validity for a negative amyloid-PET assessment, as these patients did not receive an AD diagnosis at follow-up.

Keywords: Diagnosis; Early-onset dementia; Neuropathology; Survival; [18F]flutemetamol amyloid-PET.

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Conflict of interest statement

Lyduine E. Collij has received research support from GE Healthcare and Springer Healthcare (paid by Eli Lilly). Both are paid to the institution.

Gill Farrar is a full-time employee of GE Healthcare.

Marissa Zwan reports no relevant disclosures.

Elsmarieke van Giessen reports no relevant disclosures.

Rik Ossenkoppele has received a speakers fee from GE Healthcare (paid to the institution) and receives research support from Avid Radiopharmaceuticals. RO is an editorial board member for the European Journal of Nuclear Medicine and Molecular Imaging and for Alzheimer’s Research & Therapy.

Frederik Barkhof received payment and honoraria from Bayer Genzyme, Biogen-Idec, TEVA, Merck, Novartis, Roche, IXICO Ltd, GeNeuro, and Apitope Ltd for consulting; payment from the IXICOLtd, and MedScape for educational presentations; research support via grants from EU/EFPIA Innovative Medicines Initiative Joint Undertaking (AMYPAD consortium), EuroPOND (H2020), UK MS Society, Dutch MS Society, PICTURE (IMDI-NWO), NIHR UCLH Biomedical Research Centre (BRC), ECTRIMS-MAGNIMS.

Annemieke Rozemuller reports no relevant disclosures.

Yolande Pijnenburg reports no relevant disclosures.

Wiesje M. van der Flier Research programs of Wiesje van der Flier have been funded by ZonMW, NWO, EU-FP7, EU-JPND, Alzheimer Nederland, CardioVascular Onderzoek Nederland, Health~Holland, Topsector Life Sciences & Health, stichting Dioraphte, Gieskes-Strijbis fonds, stichting Equilibrio, Pasman stichting, stichting Alzheimer & Neuropsychiatrie Foundation, Biogen MA Inc, Boehringer Ingelheim, Life-MI, AVID, Roche BV, Fujifilm, Combinostics. WF holds the Pasman chair. WF is a recipient of ABOARD, which is a public-private partnership receiving funding from ZonMW (#73305095007) and Health~Holland, Topsector Life Sciences & Health (PPP-allowance; #LSHM20106). WF has performed contract research for Biogen MA Inc., and Boehringer Ingelheim. WF has been an invited speaker at Boehringer Ingelheim, Biogen MA Inc, Danone, Eisai, WebMD Neurology (Medscape), Springer Healthcare. WF is a consultant to Oxford Health Policy Forum CIC, Roche, and Biogen MA Inc. WF participated in advisory boards of Biogen MA Inc and Roche. All funding is paid to her institution. WF was associate editor of Alzheimer, Research & Therapy in 2020/2021. WF is an associate editor at Brain.

Femke Bouwman has research projects in cooperation with Optina Dx and Optos who paid to her institution Alzheimer Center, VU University Medical Center. She has received speaker’s fees paid to the institution from Roche and Biogen.

Figures

Fig. 1
Fig. 1
Flow diagram of study design and patient selection In the panel on the left (gray), the study design of the original clinical study is described [5]. In the panels on the right, the selection (green) and exclusion (orange) process of the current longitudinal study is shown
Fig. 2
Fig. 2
Kaplan–Meier survival curve Survival rate stratified by visual read (VR) status, showing no difference between visually negative and positive patients. The number of patients at each time point is also provided. Shaded represent the 95% confidence interval
Fig. 3
Fig. 3
Flow diagram of changes in the etiological diagnosis of visually amyloid-negative cases AD, Alzheimer’s disease; FTLD, frontotemporal lobar degeneration; DLB, Lewy body disease; ND, neurodegeneration
Fig. 4
Fig. 4
Longitudinal cognitive decline depends on visual read status Spaghetti plot illustrating the results of the linear mixed models. A Visually amyloid-positive subjects (red) show a steeper decline in global cognitive functioning as measured with the MMSE and B in episodic memory (visual association test) compared to visually amyloid-negative (blue) patients
Fig. 5
Fig. 5
Post-mortem cases CAA, cerebral amyloid angiopathy; PSEN, presenilin; AD, Alzheimer’s disease; FTLD, frontotemporal lobar degeneration; CBD, corticobasal degeneration

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