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A team of researchers at the Institut national de la recherche scientifique (INRS) team has identified two early markers in plasma that can detect Alzheimer’s disease five years before its
INRS research team composed of Professor Charles Ramassamy, specialist in Alzheimer’s disease, PhD student Mohamed Raâfet Ben Khedher and postdoctoral student Mohamed Haddad (from left to right). (Photo: Institut National de la recherche scientifique INRS)
A Quebec research team supported by the Laval-based Institut national de recherche scientifique (INRS) has discovered two early plasma markers to detect Alzheimer’s disease five years before its onset.
The results of this recent study led by the doctoral student Mohamed Raâfet Ben Khedher and postdoctoral student Mohamed Haddad, and directed by Professor Charles Ramassamy of the INRS, have just been published in the prestigious scientific journal
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IMAGE: INRS Professor Charles Ramassamy, specialist on Alzheimer s disease, doctoral student Mohamed Raâfet Ben Khedher and postdoctoral student Mohamed Haddad. view more
Credit: INRS
A Quebec research team has discovered two early plasma markers to detect Alzheimer s disease five years before its onset. The results of this recent study led by the doctoral student Mohamed Raâfet Ben Khedher and postdoctoral student Mohamed Haddad, directed by Professor Charles Ramassamy of the Institut national de la recherche scientifique (INRS), have been published in the prestigious scientific journal
Alzheimer s & Dementia: Translational Research & Clinical Interventions (
TRCI).
The diagnosis of Alzheimer s disease is usually based on a series of psychometric tests assessing cognitive function, brain imaging and cerebrospinal fluid analysis. Yet, these tests have their limitations. The lumbar puncture is invasive, while brain imaging is expensive and not 100% reliab
Published 19 January 2021
Background - To investigate the effect of frailty on short-term postoperative outcomes in patients with prostate cancer treated with radical prostatectomy (RP).
Methods - Within the National Inpatient Sample database, we identified 91,618 RP patients treated between 2008 and 2015. The Johns Hopkins Adjusted Clinical Groups frailty-defining indicator was applied, and we examined the rates of frailty over time, as well as its effect on overall complications, major complications, nonhome-based discharge, length of stay (LOS), and total hospital charges (THCs). Time trends and multivariable logistic, Poisson and linear regression models were applied.
Results - Overall, 12,185 (13.3%) patients were frail. Rates of frail patients increased over time (from 10.3 to 18.2%; p 0.001). Frail patients had higher rates of overall complications (16.6 vs. 8.6%), major complications (4.9 vs. 2.6%), nonhome-based discharge (5.9 vs. 5%), longer LOS (2 vs. 1), and higher