Literature DB >> 16920152

Predictors of delay in the diagnosis and clinical trial entry of amyotrophic lateral sclerosis patients: a population-based study.

Stefano Zoccolella1, Ettore Beghi, Guerrino Palagano, Angela Fraddosio, Vito Samarelli, Paolo Lamberti, Vito Lepore, Luigi Serlenga, Giancarlo Logroscino.   

Abstract

BACKGROUND: The El Escorial and the revised Airlie House diagnostic criteria for amyotrophic lateral sclerosis (ALS) were introduced to select patients for clinical trials. Heterogeneity of clinical presentation at onset and delay in diagnosis may decrease the likelihood for trial entry.
OBJECTIVE: Identify risk factors for delay in the diagnosis and trial exclusion.
METHODS: ALS incident cases were identified with El Escorial (EEC) and Airlie House criteria (AHC) through a population-based registry established in Puglia, Southern Italy, in the years 1998-99.
RESULTS: 130 ALS incident cases were diagnosed with a median interval between onset of symptoms and diagnosis of 9.3 months and not different across both EEC and AHC categories. Twenty percent of cases were not eligible for clinical trials according to the AHC. About 5% of subjects in this series died with only lower motor neuron signs. Predictors for delay in the diagnosis were age between 65 and 75 years and spinal onset while fasciculations and cramps as first symptoms were predictors of exclusion from trials.
CONCLUSIONS: In this population-based series, diagnostic delay was longer in subjects with spinal onset and age between 65 and 75 and fasciculation as first symptoms. About 80% of incident cases were trial eligible with AHC criteria. However, a significant number of subjects with ALS, characterized by a limited spread of signs, were not trial eligible while alive.

Entities:  

Mesh:

Year:  2006        PMID: 16920152     DOI: 10.1016/j.jns.2006.06.027

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  26 in total

Review 1.  The present and the future of neuroimaging in amyotrophic lateral sclerosis.

Authors:  F Agosta; A Chiò; M Cosottini; N De Stefano; A Falini; M Mascalchi; M A Rocca; V Silani; G Tedeschi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2010-04-01       Impact factor: 3.825

2.  The epidemiology of motor neurone disease in two counties in the southwest of England.

Authors:  Ibrahim Imam; Susan Ball; Dave Wright; C Oliver Hanemann; John Zajicek
Journal:  J Neurol       Date:  2010-01-22       Impact factor: 4.849

3.  Diagnostic timelines and delays in diagnosing amyotrophic lateral sclerosis (ALS).

Authors:  Sabrina Paganoni; Eric A Macklin; Alexandra Lee; Alyssa Murphy; Judith Chang; Amanda Zipf; Merit Cudkowicz; Nazem Atassi
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2014-07-01       Impact factor: 4.092

4.  Body mass index, not dyslipidemia, is an independent predictor of survival in amyotrophic lateral sclerosis.

Authors:  Sabrina Paganoni; Jing Deng; Matthew Jaffa; Merit E Cudkowicz; Anne-Marie Wills
Journal:  Muscle Nerve       Date:  2011-05-23       Impact factor: 3.217

Review 5.  CSF markers in amyotrophic lateral sclerosis.

Authors:  Joanna Tarasiuk; Alina Kułakowska; Wiesław Drozdowski; Johannes Kornhuber; Piotr Lewczuk
Journal:  J Neural Transm (Vienna)       Date:  2012-05-04       Impact factor: 3.575

6.  Testing the diagnostic accuracy of [18F]FDG-PET in discriminating spinal- and bulbar-onset amyotrophic lateral sclerosis.

Authors:  Arianna Sala; Leonardo Iaccarino; Piercarlo Fania; Emilia G Vanoli; Federico Fallanca; Caterina Pagnini; Chiara Cerami; Andrea Calvo; Antonio Canosa; Marco Pagani; Adriano Chiò; Angelina Cistaro; Daniela Perani
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-01-07       Impact factor: 9.236

7.  Diagnostic accuracy using diffusion tensor imaging in the diagnosis of ALS: a meta-analysis.

Authors:  Bradley R Foerster; Ben A Dwamena; Myria Petrou; Ruth C Carlos; Brian C Callaghan; Martin G Pomper
Journal:  Acad Radiol       Date:  2012-06-28       Impact factor: 3.173

Review 8.  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 9.  Biomarkers in amyotrophic lateral sclerosis: facts and future horizons.

Authors:  Pierre-François Pradat; Michel Dib
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

Review 10.  25 years of neuroimaging in amyotrophic lateral sclerosis.

Authors:  Bradley R Foerster; Robert C Welsh; Eva L Feldman
Journal:  Nat Rev Neurol       Date:  2013-08-06       Impact factor: 42.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.