TY - JOUR
T1 - Demographic, clinical, biomarker, and neuropathological correlates of posterior cortical atrophy
T2 - an international cohort study and individual participant data meta-analysis
AU - PCA International Work Group
AU - Chapleau, Marianne
AU - La Joie, Renaud
AU - Yong, Keir
AU - Agosta, Federica
AU - Allen, Isabel Elaine
AU - Apostolova, Liana
AU - Best, John
AU - Boon, Baayla D.C.
AU - Crutch, Sebastian
AU - Filippi, Massimo
AU - Fumagalli, Giorgio Giulio
AU - Galimberti, Daniela
AU - Graff-Radford, Jonathan
AU - Grinberg, Lea T.
AU - Irwin, David J.
AU - Josephs, Keith A.
AU - Mendez, Mario F.
AU - Mendez, Patricio Chrem
AU - Migliaccio, Raffaella
AU - Miller, Zachary A.
AU - Montembeault, Maxime
AU - Murray, Melissa E.
AU - Nemes, Sára
AU - Pelak, Victoria
AU - Perani, Daniela
AU - Phillips, Jeffrey
AU - Pijnenburg, Yolande
AU - Rogalski, Emily
AU - Schott, Jonathan M.
AU - Seeley, William
AU - Sullivan, A. Campbell
AU - Spina, Salvatore
AU - Tanner, Jeremy
AU - Walker, Jamie
AU - Whitwell, Jennifer L.
AU - Wolk, David A.
AU - Ossenkoppele, Rik
AU - Rabinovici, Gil D.
AU - Abdi, Zeinab
AU - Ahmed, Samrah
AU - Alcolea, Daniel
AU - Allinson, Kieren S.J.
AU - Arighi, Andrea
AU - Balasa, Mircea
AU - Barkhof, Frederik
AU - Brandt, Katherine D.
AU - Brosch, Jared
AU - Burrell, James
AU - Butler, Christopher R.
AU - Hof, Patrick R.
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
PY - 2024/2
Y1 - 2024/2
N2 - Background: Posterior cortical atrophy is a rare syndrome characterised by early, prominent, and progressive impairment in visuoperceptual and visuospatial processing. The disorder has been associated with underlying neuropathological features of Alzheimer's disease, but large-scale biomarker and neuropathological studies are scarce. We aimed to describe demographic, clinical, biomarker, and neuropathological correlates of posterior cortical atrophy in a large international cohort. Methods: We searched PubMed between database inception and Aug 1, 2021, for all published research studies on posterior cortical atrophy and related terms. We identified research centres from these studies and requested deidentified, individual participant data (published and unpublished) that had been obtained at the first diagnostic visit from the corresponding authors of the studies or heads of the research centres. Inclusion criteria were a clinical diagnosis of posterior cortical atrophy as defined by the local centre and availability of Alzheimer's disease biomarkers (PET or CSF), or a diagnosis made at autopsy. Not all individuals with posterior cortical atrophy fulfilled consensus criteria, being diagnosed using centre-specific procedures or before development of consensus criteria. We obtained demographic, clinical, biofluid, neuroimaging, and neuropathological data. Mean values for continuous variables were combined using the inverse variance meta-analysis method; only research centres with more than one participant for a variable were included. Pooled proportions were calculated for binary variables using a restricted maximum likelihood model. Heterogeneity was quantified using I2. Findings: We identified 55 research centres from 1353 papers, with 29 centres responding to our request. An additional seven centres were recruited by advertising via the Alzheimer's Association. We obtained data for 1092 individuals who were evaluated at 36 research centres in 16 countries, the other sites having not responded to our initial invitation to participate to the study. Mean age at symptom onset was 59·4 years (95% CI 58·9–59·8; I2=77%), 60% (56–64; I2=35%) were women, and 80% (72–89; I2=98%) presented with posterior cortical atrophy pure syndrome. Amyloid β in CSF (536 participants from 28 centres) was positive in 81% (95% CI 75–87; I2=78%), whereas phosphorylated tau in CSF (503 participants from 29 centres) was positive in 65% (56–75; I2=87%). Amyloid-PET (299 participants from 24 centres) was positive in 94% (95% CI 90–97; I2=15%), whereas tau-PET (170 participants from 13 centres) was positive in 97% (93–100; I2=12%). At autopsy (145 participants from 13 centres), the most frequent neuropathological diagnosis was Alzheimer's disease (94%, 95% CI 90–97; I2=0%), with common co-pathologies of cerebral amyloid angiopathy (71%, 54–88; I2=89%), Lewy body disease (44%, 25–62; I2=77%), and cerebrovascular injury (42%, 24–60; I2=88%). Interpretation: These data indicate that posterior cortical atrophy typically presents as a pure, young-onset dementia syndrome that is highly specific for underlying Alzheimer's disease pathology. Further work is needed to understand what drives cognitive vulnerability and progression rates by investigating the contribution of sex, genetics, premorbid cognitive strengths and weaknesses, and brain network integrity. Funding: None.
AB - Background: Posterior cortical atrophy is a rare syndrome characterised by early, prominent, and progressive impairment in visuoperceptual and visuospatial processing. The disorder has been associated with underlying neuropathological features of Alzheimer's disease, but large-scale biomarker and neuropathological studies are scarce. We aimed to describe demographic, clinical, biomarker, and neuropathological correlates of posterior cortical atrophy in a large international cohort. Methods: We searched PubMed between database inception and Aug 1, 2021, for all published research studies on posterior cortical atrophy and related terms. We identified research centres from these studies and requested deidentified, individual participant data (published and unpublished) that had been obtained at the first diagnostic visit from the corresponding authors of the studies or heads of the research centres. Inclusion criteria were a clinical diagnosis of posterior cortical atrophy as defined by the local centre and availability of Alzheimer's disease biomarkers (PET or CSF), or a diagnosis made at autopsy. Not all individuals with posterior cortical atrophy fulfilled consensus criteria, being diagnosed using centre-specific procedures or before development of consensus criteria. We obtained demographic, clinical, biofluid, neuroimaging, and neuropathological data. Mean values for continuous variables were combined using the inverse variance meta-analysis method; only research centres with more than one participant for a variable were included. Pooled proportions were calculated for binary variables using a restricted maximum likelihood model. Heterogeneity was quantified using I2. Findings: We identified 55 research centres from 1353 papers, with 29 centres responding to our request. An additional seven centres were recruited by advertising via the Alzheimer's Association. We obtained data for 1092 individuals who were evaluated at 36 research centres in 16 countries, the other sites having not responded to our initial invitation to participate to the study. Mean age at symptom onset was 59·4 years (95% CI 58·9–59·8; I2=77%), 60% (56–64; I2=35%) were women, and 80% (72–89; I2=98%) presented with posterior cortical atrophy pure syndrome. Amyloid β in CSF (536 participants from 28 centres) was positive in 81% (95% CI 75–87; I2=78%), whereas phosphorylated tau in CSF (503 participants from 29 centres) was positive in 65% (56–75; I2=87%). Amyloid-PET (299 participants from 24 centres) was positive in 94% (95% CI 90–97; I2=15%), whereas tau-PET (170 participants from 13 centres) was positive in 97% (93–100; I2=12%). At autopsy (145 participants from 13 centres), the most frequent neuropathological diagnosis was Alzheimer's disease (94%, 95% CI 90–97; I2=0%), with common co-pathologies of cerebral amyloid angiopathy (71%, 54–88; I2=89%), Lewy body disease (44%, 25–62; I2=77%), and cerebrovascular injury (42%, 24–60; I2=88%). Interpretation: These data indicate that posterior cortical atrophy typically presents as a pure, young-onset dementia syndrome that is highly specific for underlying Alzheimer's disease pathology. Further work is needed to understand what drives cognitive vulnerability and progression rates by investigating the contribution of sex, genetics, premorbid cognitive strengths and weaknesses, and brain network integrity. Funding: None.
UR - http://www.scopus.com/inward/record.url?scp=85183038994&partnerID=8YFLogxK
U2 - 10.1016/S1474-4422(23)00414-3
DO - 10.1016/S1474-4422(23)00414-3
M3 - Article
C2 - 38267189
AN - SCOPUS:85183038994
SN - 1474-4422
VL - 23
SP - 168
EP - 177
JO - The Lancet Neurology
JF - The Lancet Neurology
IS - 2
ER -