Dror Shir, Noah Lee, Stuart J McCarter, Vijay K Ramanan, Hugo Botha, David S Knopman, Ronald C Petersen, Bradley F Boeve, Gregory Scott Day, Neill R Graff-Radford, David T Jones, Melissa E Murray, Aivi T Nguyen, R Ross Reichard, Dennis W Dickson, Deena Tajfirouz, Mary M Machulda, Jennifer L Whitwell, Keith Anthony Josephs, Jonathan Graff-Radford
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引用次数: 0
Abstract
Background and objectives: Although several large studies have evaluated individuals with posterior cortical atrophy (PCA) cross-sectionally, its longitudinal progression remains poorly characterized. The objectives of this study were to determine the longitudinal trajectory of PCA, encompassing the temporal aspects of diagnosis, the spectrum of clinical manifestations, and patient outcomes.
Methods: This retrospective study included participants evaluated and diagnosed with PCA at the Mayo Clinic, between 1995 and 2023. Clinical data (demographics, neurologic evaluations, and cognitive tests at initial presentation and late stage) were extracted from medical records. Initial clinical diagnoses during previous medical evaluations, including ophthalmologic assessments after onset of neurologic symptoms, were documented. Participants were retrospectively classified as PCA-pure if they solely met PCA criteria or as PCA-plus if they exhibited complex phenotypes also meeting criteria for other neurodegenerative syndromes. CSF analyses and neuropathology findings were documented.
Results: The cohort of 558 participants (65% female) had a mean age at symptom onset of 61 ± 8 years, with 68% meeting early-onset criteria (younger than 65 years). The mean duration from symptom onset to diagnosis was 3.6 ± 2.5 years. Ophthalmologic/optometric evaluations (49%) and completion of ophthalmologic procedures (16%) were common before PCA diagnosis. Psychiatric diagnoses were made in 23% of participants before PCA diagnosis, particularly among younger women. Common initial symptoms included misplacement of items, difficulties with reading and driving, and concerns pertaining to basic visual processing. Notable signs were constructional apraxia, dyscalculia, simultanagnosia, and space perception deficits. CSF biomarkers were consistent with Alzheimer disease in 139 of 158 individuals (88%). Superimposed features of non-PCA clinical syndromes were observed in a quarter of the participants at presentation, with frequency of PCA-plus cases increasing longitudinally. Longitudinal analysis of Short Test of Mental Status scores predicted an initial rapid decline in cognitive function, with the rate of decline gradually slowing over 0-10 years (time coefficient [SE] = -4.20 [0.29], p < 0.001).
Discussion: This study highlights the protracted time from symptom onset and frequent misdiagnoses/misattribution of symptoms in PCA. Ophthalmologic evaluations often preceded neurologic assessments. Psychiatric diagnoses were more frequent among younger women. These observations highlight the need to improve diagnostic processes and earlier recognition of PCA, which may enhance the effectiveness of emerging disease-modifying therapies.
期刊介绍:
Neurology, the official journal of the American Academy of Neurology, aspires to be the premier peer-reviewed journal for clinical neurology research. Its mission is to publish exceptional peer-reviewed original research articles, editorials, and reviews to improve patient care, education, clinical research, and professionalism in neurology.
As the leading clinical neurology journal worldwide, Neurology targets physicians specializing in nervous system diseases and conditions. It aims to advance the field by presenting new basic and clinical research that influences neurological practice. The journal is a leading source of cutting-edge, peer-reviewed information for the neurology community worldwide. Editorial content includes Research, Clinical/Scientific Notes, Views, Historical Neurology, NeuroImages, Humanities, Letters, and position papers from the American Academy of Neurology. The online version is considered the definitive version, encompassing all available content.
Neurology is indexed in prestigious databases such as MEDLINE/PubMed, Embase, Scopus, Biological Abstracts®, PsycINFO®, Current Contents®, Web of Science®, CrossRef, and Google Scholar.