Literature DB >> 7969707

Prognostic factors and survival in amyotrophic lateral sclerosis.

O B Tysnes1, S E Vollset, J P Larsen, J A Aarli.   

Abstract

This study of clinical outcome in amyotrophic lateral sclerosis (ALS) evaluated 148 patients (93 men and 55 women) diagnosed in Hordaland county, Norway, during the period 1970 to 1990. In addition to evaluation of clinical data, data were available on sex, age at diagnosis, time from appearance of symptoms to diagnosis, family history, EMG and spinal fluid. Sixty-nine cases were bulbar ALS and 79 were spinal ALS. Median survival from diagnosis was 16.5 months, 26.0 months in the spinal and 12.1 months in the bulbar form. The survival time decreased with increasing age at the start of disease. A brief interval from start of symptoms to diagnosis was also a poor prognostic factor. Cases with mainly spastic clinical appearance had longer survival than those with marked atrophy. Sex, appearance of familial cases, increased protein level in the spinal fluid, or disease confirmed or not by EMG had no influence on the prognosis. The importance of the prognostic variables was assessed simultaneously using a proportional hazards model. To test the validity of the prognostic factors, a binary survival outcome was established and a predictive rule determined by logistic regression. The data were applied on 11 ALS cases collected outside Hordaland county. Only 1 out of 7 patients with a predicted probability of living more than 1 year actually died within this time period. Two out of 4 patients in the poor prognostic group were dead within a year from the time of diagnosis.

Entities:  

Mesh:

Year:  1994        PMID: 7969707     DOI: 10.1159/000110384

Source DB:  PubMed          Journal:  Neuroepidemiology        ISSN: 0251-5350            Impact factor:   3.282


  7 in total

1.  Amyotrophic lateral sclerosis: from pathological mechanisms to patient care.

Authors:  G Scarlato
Journal:  J Neurol       Date:  1997-05       Impact factor: 4.849

2.  Cerebral degeneration predicts survival in amyotrophic lateral sclerosis.

Authors:  S Kalra; A Vitale; N R Cashman; A Genge; D L Arnold
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-07-11       Impact factor: 10.154

3.  Population-based surveillance of amyotrophic lateral sclerosis in New Jersey, 2009-2011.

Authors:  Heather Jordan; Jerald Fagliano; Lindsay Rechtman; Daniel Lefkowitz; Wendy Kaye
Journal:  Neuroepidemiology       Date:  2014-10-16       Impact factor: 3.282

4.  Relationships between tongue motility, grip force, and survival in SOD1-G93A rats.

Authors:  Susan E Smittkamp; Heather N Spalding; Jordan W Brown; Hung-Wen Yeh; John A Stanford
Journal:  Physiol Behav       Date:  2013-11-27

5.  Prognosis and epidemiology of amyotrophic lateral sclerosis: Analysis of a clinic population, 1997-2011.

Authors:  Kim Traxinger; Crystal Kelly; Brent A Johnson; Robert H Lyles; Jonathan D Glass
Journal:  Neurol Clin Pract       Date:  2013-08

Review 6.  Prognostic factors in ALS: A critical review.

Authors:  Adriano Chiò; Giancarlo Logroscino; Orla Hardiman; Robert Swingler; Douglas Mitchell; Ettore Beghi; Bryan G Traynor
Journal:  Amyotroph Lateral Scler       Date:  2009 Oct-Dec

Review 7.  Can Proprioceptive Training Reduce Muscle Fatigue in Patients With Motor Neuron Diseases? A New Direction of Treatment.

Authors:  Ayman A Mohamed
Journal:  Front Physiol       Date:  2019-10-01       Impact factor: 4.566

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.