Identifying patterns in signs and symptoms preceding the clinical diagnosis of Alzheimer's disease : retrospective medical record review study and a nested case -control design
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3.Early signs and symptons of ...
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Abstract
OBJECTIVE: Evidence suggests that individuals with Alzheimer's disease (AD) are often diagnosed in the later stages of their disease with a poor prognosis. This study aimed to identify patterns in signs and symptoms preceding the clinical diagnosis of AD to suggest a predictive model for earlier diagnosis of the disease in the primary care. DESIGN: A retrospective medical record review; nested case control design. PARTICIPANTS: Participants included one hundred and nine patients from three general practice (GP) surgeries in Milton Keynes and Luton Clinical Commissioning groups (CCG) (37 cases with AD and 72 controls without AD). MAIN OUTCOME MEASURE: A retrospective analysis using the logistic regression of the presence of signs and symptoms before the diagnosis of AD was attained. Identification of the timing and sequence of appearance of these presentations as first reported before the clinical diagnosis was measured. RESULT: Episodic memory with an odds ratio of 1.85 was the most frequent presentation, documented in 1.38% of the controls and 75.6% in cases. Auditory disturbance with an odds ratio of 3.03, which has not previously been noted except in the form of auditory hallucination, could have a diagnostic value. CONCLUSION: Auditory disturbance, which occurred mostly in the Caucasian females, could discriminate individuals with AD from those without. The symptom, which presented up to 14.5 (mean time) years prior to clinical diagnosis, was identified in Caucasians and mixed race individuals only.Citation
Bature F, Pang D, Robinson A, Polson N, Pappas Y, Guinn B. (2018) 'Identifying patterns in signs and symptoms preceding the clinical diagnosis of Alzheimer's disease', Current Alzheimer Research, 15 (8)Publisher
BenthamJournal
Current Alzheimer ResearchPubMed ID
29623839Additional Links
http://www.eurekaselect.com/160998/articleType
ArticleLanguage
enISSN
1567-2050ae974a485f413a2113503eed53cd6c53
10.2174/1567205015666180404155358
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