SwePub
Sök i LIBRIS databas

  Utökad sökning

(WFRF:(Berger Klaus))
 

Sökning: (WFRF:(Berger Klaus)) > (2020-2023) > Disease Progression...

Disease Progression in Multiple System Atrophy—Novel Modeling Framework and Predictive Factors

Kühnel, Line (författare)
University of Copenhagen,H. Lundbeck A/S
Raket, Lars Lau (författare)
Lund University,Lunds universitet,Klinisk minnesforskning,Forskargrupper vid Lunds universitet,Clinical Memory Research,Lund University Research Groups,H. Lundbeck A/S
Åström, Daniel Oudin (författare)
H. Lundbeck A/S
visa fler...
Berger, Anna Karin (författare)
H. Lundbeck A/S
Hansen, Ingeborg Helbech (författare)
H. Lundbeck A/S
Krismer, Florian (författare)
Medical University of Innsbruck
Wenning, Gregor K. (författare)
Medical University of Innsbruck
Seppi, Klaus (författare)
Medical University of Innsbruck
Poewe, Werner (författare)
Medical University of Innsbruck
Molinuevo, JoséLuis (författare)
H. Lundbeck A/S
visa färre...
University of Copenhagen H Lundbeck A/S (creator_code:org_t)
 
2022-06-06
2022
Engelska 9 s.
Ingår i: Movement Disorders. - : Wiley. - 0885-3185 .- 1531-8257. ; 37:8, s. 1719-1727
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background: Multiple system atrophy (MSA) is a rare and aggressive neurodegenerative disease that typically leads to death 6 to 10 years after symptom onset. The rapid evolution renders it crucial to understand the general disease progression and factors affecting the disease course. Objectives: The aims of this study were to develop a novel disease-progression model to estimate a population-level MSA progression trajectory and predict patient-specific continuous disease stages describing the degree of progress into the disease. Methods: The disease-progression model estimated a population-level progression trajectory of subscales of the Unified MSA Rating Scale and the Unified Parkinson's Disease Rating Scale using patients in the European MSA natural history study. The predicted disease continuum was validated via multiple analyses based on reported anchor points, and the effect of MSA subtype on the rate of disease progression was evaluated. Results: The predicted disease continuum spanned approximately 6 years, with an estimated average duration of 51 months for a patient with global disability score 0 to reach the highest level of 4. The predicted continuous disease stages were shown to be correlated with time of symptom onset and predictive of survival time. MSA motor subtype was found to significantly affect disease progression, with MSA-parkinsonian (MSA-P) type patients having an accelerated rate of progression. Conclusions: The proposed modeling framework introduces a new method of analyzing and interpreting the progression of MSA. It can provide new insights and opportunities for investigating covariate effects on the rate of progression and provide well-founded predictions of patient-level future progressions.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Neurologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Neurology (hsv//eng)

Nyckelord

disease progression
motor subtype
multiple system atrophy
multivariate nonlinear mixed-effects models
neurodegenerative disease

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy