Literature DB >> 12629239

Prognosis in amyotrophic lateral sclerosis: a population-based study.

M A del Aguila1, W T Longstreth, V McGuire, T D Koepsell, G van Belle.   

Abstract

BACKGROUND: Accurate information on prognosis of ALS is useful to patients, families, and clinicians.
METHODS: In a population-based study of ALS in western Washington, the authors assembled a cohort of 180 patients with incident ALS between 1990 and 1994. Information on potential prognostic factors was collected during an in-person interview. Patients also completed the Medical Outcomes Study Short Form 36 (SF-36). Vital status through December 1999 was known for all patients.
RESULTS: Median survival was 32 months from onset of symptoms and 19 months from diagnosis. The 5-year survival after diagnosis was 7%. Older age and female sex were strongly associated with poor survival. In multivariable Cox proportional hazards regression models, factors significantly and independently associated with a worse prognosis included older age, any bulbar features at onset, shorter time from symptom onset to diagnosis, lack of a marital partner, and residence in King County. Recursive partitioning identified age, time from symptom onset to diagnosis, and marital status as the strongest predictors of survival. Good summary scores for physical health on the SF-36, but not for mental health, were significantly associated with longer survival than poor scores.
CONCLUSION: These findings are consistent with other population-based studies of ALS and confirm its pernicious nature. Older age, female sex, any bulbar features at onset, short time from symptom onset to diagnosis, lack of a marital partner, and disease severity are key prognostic factors. Serial measurement of severity would likely improve predictions.

Entities:  

Mesh:

Year:  2003        PMID: 12629239     DOI: 10.1212/01.wnl.0000049472.47709.3b

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  121 in total

1.  Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression.

Authors:  Robert Küffner; Neta Zach; Raquel Norel; Johann Hawe; David Schoenfeld; Liuxia Wang; Guang Li; Lilly Fang; Lester Mackey; Orla Hardiman; Merit Cudkowicz; Alexander Sherman; Gokhan Ertaylan; Moritz Grosse-Wentrup; Torsten Hothorn; Jules van Ligtenberg; Jakob H Macke; Timm Meyer; Bernhard Schölkopf; Linh Tran; Rubio Vaughan; Gustavo Stolovitzky; Melanie L Leitner
Journal:  Nat Biotechnol       Date:  2014-11-02       Impact factor: 54.908

2.  Evaluation of occupational exposure to magnetic fields and motor neuron disease mortality in a population-based cohort.

Authors:  Lauren E Parlett; Joseph D Bowman; Edwin van Wijngaarden
Journal:  J Occup Environ Med       Date:  2011-12       Impact factor: 2.162

3.  Patients who survive 5 years or more with ALS in Olmsted County, 1925-2004.

Authors:  Farrah J Mateen; Marco Carone; Eric J Sorenson
Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-07-13       Impact factor: 10.154

4.  Patterns of cortical activity differ in ALS patients with limb and/or bulbar involvement depending on motor tasks.

Authors:  Katja Kollewe; Thomas F Münte; Amir Samii; Reinhard Dengler; Susanne Petri; Bahram Mohammadi
Journal:  J Neurol       Date:  2010-12-03       Impact factor: 4.849

Review 5.  Patterns of Weakness, Classification of Motor Neuron Disease, and Clinical Diagnosis of Sporadic Amyotrophic Lateral Sclerosis.

Authors:  Jeffrey M Statland; Richard J Barohn; April L McVey; Jonathan S Katz; Mazen M Dimachkie
Journal:  Neurol Clin       Date:  2015-09-08       Impact factor: 3.806

Review 6.  Amyotrophic Lateral Sclerosis Regional Variants (Brachial Amyotrophic Diplegia, Leg Amyotrophic Diplegia, and Isolated Bulbar Amyotrophic Lateral Sclerosis).

Authors:  Omar Jawdat; Jeffrey M Statland; Richard J Barohn; Jonathan S Katz; Mazen M Dimachkie
Journal:  Neurol Clin       Date:  2015-09-08       Impact factor: 3.806

7.  Prediction of prognosis of ALS: Importance of active denervation findings of the cervical-upper limb area and trunk area.

Authors:  Yoko Sato; Eiji Nakatani; Yasuhiro Watanabe; Masanori Fukushima; Kenji Nakashima; Mari Kannagi; Yasuhiro Kanatani; Hiroshi Mizushima
Journal:  Intractable Rare Dis Res       Date:  2015-11

Review 8.  Clinical and demographic factors and outcome of amyotrophic lateral sclerosis in relation to population ancestral origin.

Authors:  Benoît Marin; Giancarlo Logroscino; Farid Boumédiene; Anaïs Labrunie; Philippe Couratier; Marie-Claude Babron; Anne Louise Leutenegger; Pierre Marie Preux; Ettore Beghi
Journal:  Eur J Epidemiol       Date:  2015-10-12       Impact factor: 8.082

9.  Dietary fiber and amyotrophic lateral sclerosis: results from 5 large cohort studies.

Authors:  Elinor Fondell; Eilis J O'Reilly; Kathryn C Fitzgerald; Guido J Falcone; Laurence N Kolonel; Yikyung Park; Marjorie L McCullough; Alberto Ascherio
Journal:  Am J Epidemiol       Date:  2014-05-09       Impact factor: 4.897

10.  Geographic distribution of amyotrophic lateral sclerosis through motor neuron disease mortality data.

Authors:  Raffaella Uccelli; Alessandra Binazzi; Pierluigi Altavista; Stefano Belli; Pietro Comba; Marina Mastrantonio; Nicola Vanacore
Journal:  Eur J Epidemiol       Date:  2007-09-14       Impact factor: 8.082

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