1. A documented 33% dementia chance post-stroke from an Australian study? May 2012.
2. Then this study came out and seems to have a range from 17-66%. December 2013.
3. A 20% chance in this research. July 2013.
These earlier ones?
Artificial intelligence predicts dementia before onset of symptoms August 2017
Researchers suggest dual gait testing as early predictor of dementia May 2017
The latest here:
Simple, 15-Minute Test Can Differentiate Patients With MCI From Those With Alzheimer’s Disease
September 23, 2017
By Denise Baez
KYOTO, Japan -- September 23, 2017 -- A simple bedside cognitive tool can identify patients with mild cognitive impairment (MCI), and can help detect progression to Alzheimer’s disease (AD), according to a study presented here at the 23rd World Congress of Neurology (WCN).
The Fifteen-Minute Assessment of Cognition Over the Telephone (FACT) can also help differentiate patients with MCI from those with AD.
“Our aim was to determine whether it was possible to diagnose dementia in just 15 minutes for people who were unable to visit hospitals,” explained Ratnavalli Ellajosyula, MD, Department of Neurology, Manipal Hospitals, Bangalore, India.
FACT consists of 27 items designed to test the interview subject’s orientation, memory, language, and executive functions domains over the phone.
The study included 22 patients with MCI, 20 patients with AD, and 23 healthy volunteers. The researchers administered the FACT screening test 1 week after presentation and neuropsychological testing at the clinic.
Performance on the Addenbrookes Cognitive Examination (ACE III) was used to correlate test performance on the FACT.
The Pearson correlation coefficient between the FACT and the ACE III was 0.82 (P = .00). Correlations on the subcomponents of the FACT and the counterpart domains of the ACE III indicated moderated to high correlations. The area under the ROC curve for FACT discriminating MCI from AD was 0.92 and MCI from healthy volunteers was 0.83.
“FACT proved to be a comparable and effective tool to the ACE III in detecting MCI and monitoring progression to AD,” the authors concluded. “It successfully differentiates patients with MCI from AD, which has clinical and research implications for early intervention and better monitoring of cognitive decline.”
[Presentation title: The Fifteen Minute Assessment of Cognition Over the Telephone (FACT): a Telephone Interview to Detect and Monitor Cognitive. Abstract FP05]
KYOTO, Japan -- September 23, 2017 -- A simple bedside cognitive tool can identify patients with mild cognitive impairment (MCI), and can help detect progression to Alzheimer’s disease (AD), according to a study presented here at the 23rd World Congress of Neurology (WCN).
The Fifteen-Minute Assessment of Cognition Over the Telephone (FACT) can also help differentiate patients with MCI from those with AD.
“Our aim was to determine whether it was possible to diagnose dementia in just 15 minutes for people who were unable to visit hospitals,” explained Ratnavalli Ellajosyula, MD, Department of Neurology, Manipal Hospitals, Bangalore, India.
FACT consists of 27 items designed to test the interview subject’s orientation, memory, language, and executive functions domains over the phone.
The study included 22 patients with MCI, 20 patients with AD, and 23 healthy volunteers. The researchers administered the FACT screening test 1 week after presentation and neuropsychological testing at the clinic.
Performance on the Addenbrookes Cognitive Examination (ACE III) was used to correlate test performance on the FACT.
The Pearson correlation coefficient between the FACT and the ACE III was 0.82 (P = .00). Correlations on the subcomponents of the FACT and the counterpart domains of the ACE III indicated moderated to high correlations. The area under the ROC curve for FACT discriminating MCI from AD was 0.92 and MCI from healthy volunteers was 0.83.
“FACT proved to be a comparable and effective tool to the ACE III in detecting MCI and monitoring progression to AD,” the authors concluded. “It successfully differentiates patients with MCI from AD, which has clinical and research implications for early intervention and better monitoring of cognitive decline.”
[Presentation title: The Fifteen Minute Assessment of Cognition Over the Telephone (FACT): a Telephone Interview to Detect and Monitor Cognitive. Abstract FP05]
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