publication . Article . 2015

Predicting prognosis in amyotrophic lateral sclerosis: a simple algorithm

Elamin, Marwa; Bede, Peter; Montuschi, Anna; Pender, Niall; Chio', Adriano; Hardiman, Orla;
Open Access English
  • Published: 01 Apr 2015 Journal: Journal of Neurology, volume 262, issue 6, pages 1,447-1,454 (issn: 0340-5354, eissn: 1432-1459, Copyright policy)
  • Publisher: Springer Berlin Heidelberg
  • Country: Italy
Abstract
The objective of the study was to develop and validate a practical prognostic index for patients with amyotrophic lateral scleroses (ALS) using information available at the first clinical consultation. We interrogated datasets generated from two population-based projects (based in the Republic of Ireland and Italy). The Irish patient cohort was divided into Training and Test sub-cohorts. Kaplan–Meier methods and Cox proportional hazards regression were used to identify significant predictors of prognoses in the Training set. Using a weighted grading system, a prognostic index was derived that separated three risk groups. The validity of index was tested in the I...
Subjects
free text keywords: Original Communication, Amyotrophic lateral scleroses, Motor neuron disease, Population-based, Prognoses, Amyotrophic lateral scleroses; Motor neuron disease; Population-based; Prognoses; Aged; Amyotrophic Lateral Sclerosis; Cohort Studies; Community Health Planning; Databases, Bibliographic; Female; Humans; Ireland; Italy; Kaplan-Meier Estimate; Male; Middle Aged; Prognosis; Proportional Hazards Models; Proteins; Risk; Algorithms; Predictive Value of Tests; Neurology (clinical); Neurology, Neurology, Clinical Neurology, Cohort, Amyotrophic lateral sclerosis, medicine.disease, medicine, Neuroradiology, Proportional hazards model, Cohort study, Predictive value of tests, Physical therapy, medicine.medical_specialty, business.industry, business, Executive dysfunction, Population, education.field_of_study, education
Funded by
EC| EURO-MOTOR
Project
EURO-MOTOR
European multidisciplinary ALS network identification to cure motor neuron degeneration
  • Funder: European Commission (EC)
  • Project Code: 259867
  • Funding stream: FP7 | SP1 | HEALTH
36 references, page 1 of 3

Czaplinski, A, Yen, AA, Appel, SH. Amyotrophic lateral sclerosis: early predictors of prolonged survival. J Neurol. 2006; 253: 1428-1436 [OpenAIRE] [PubMed] [DOI]

Beghi, E, Mennini, T, Bendotti, C. The heterogeneity of amyotrophic lateral sclerosis: a possible explanation of treatment failure. Curr Med Chem. 2007; 14: 3185-3200 [OpenAIRE] [PubMed] [DOI]

Chio, A, Logroscino, G, Hardiman, O. Prognostic factors in ALS: a critical review. Amyotroph Lateral Scler. 2009; 10: 310-323 [OpenAIRE] [PubMed] [DOI]

Chio, A, Ilardi, A, Cammarosano, S, Moglia, C, Montuschi, A, Calvo, A. Neurobehavioral dysfunction in ALS has a negative effect on outcome and use of PEG and NIV. Neurology. 2012; 78: 1085-1089 [OpenAIRE] [PubMed] [DOI]

Elamin, M, Phukan, J, Bede, P. Executive dysfunction is a negative prognostic indicator in patients with ALS without dementia. Neurology. 2011; 76: 1263-1269 [OpenAIRE] [PubMed] [DOI]

Phukan, J, Elamin, M, Bede, P. The syndrome of cognitive impairment in amyotrophic lateral sclerosis: a population-based study. J Neurol Neurosurg Psychiatry. 2012; 83: 102-108 [OpenAIRE] [PubMed] [DOI]

Elamin, M, Bede, P, Byrne, S. Cognitive changes predict functional decline in ALS: a population-based longitudinal study. Neurology. 2013; 80: 1590-1597 [OpenAIRE] [PubMed] [DOI]

O’Toole, O, Traynor, BJ, Brennan, P. Epidemiology and clinical features of amyotrophic lateral sclerosis in Ireland between 1995 and 2004. J Neurol Neurosurg Psychiatry. 2008; 79: 30-32 [OpenAIRE] [PubMed] [DOI]

Brooks, BR, Miller, RG, Swash, M, Munsat, TL. El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Other Motor Neuron Disord. 2000; 1: 293-299 [OpenAIRE] [PubMed] [DOI]

Montuschi, A, Iazzolino, B, Calvo, A. Cognitive correlates in amyotrophic lateral sclerosis: a population-based study in Italy. J Neurol Neurosurg Psychiatry. 2015; 86: 168-173 [OpenAIRE] [PubMed] [DOI]

Chio, A, Mora, G, Calvo, A, Mazzini, L, Bottacchi, E, Mutani, R. Epidemiology of ALS in Italy: a 10-year prospective population-based study. Neurology. 2009; 72: 725-731 [OpenAIRE] [PubMed] [DOI]

Cedarbaum, JM, Stambler, N, Malta, E. The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function. BDNF ALS Study Group (Phase III). J Neurol Sci. 1999; 169: 13-21 [OpenAIRE] [PubMed] [DOI]

Kimura, F, Fujimura, C, Ishida, S. Progression rate of ALSFRS-R at time of diagnosis predicts survival time in ALS. Neurology. 2006; 66: 265-267 [PubMed] [DOI]

14.Trenerry MCB, DeBoe J, Leber, W (1989) Stroop neuropsychological screening test manual: psychological assessment resources, Odessa, FL

Abrahams, S, Goldstein, LH, Lloyd, CM, Brooks, DJ, Leigh, PN. Cognitive deficits in non-demented amyotrophic lateral sclerosis patients: a neuropsychological investigation. J Neurol Sci. 1995; 129 (Suppl): 54-55 [OpenAIRE] [PubMed] [DOI]

36 references, page 1 of 3
Abstract
The objective of the study was to develop and validate a practical prognostic index for patients with amyotrophic lateral scleroses (ALS) using information available at the first clinical consultation. We interrogated datasets generated from two population-based projects (based in the Republic of Ireland and Italy). The Irish patient cohort was divided into Training and Test sub-cohorts. Kaplan–Meier methods and Cox proportional hazards regression were used to identify significant predictors of prognoses in the Training set. Using a weighted grading system, a prognostic index was derived that separated three risk groups. The validity of index was tested in the I...
Subjects
free text keywords: Original Communication, Amyotrophic lateral scleroses, Motor neuron disease, Population-based, Prognoses, Amyotrophic lateral scleroses; Motor neuron disease; Population-based; Prognoses; Aged; Amyotrophic Lateral Sclerosis; Cohort Studies; Community Health Planning; Databases, Bibliographic; Female; Humans; Ireland; Italy; Kaplan-Meier Estimate; Male; Middle Aged; Prognosis; Proportional Hazards Models; Proteins; Risk; Algorithms; Predictive Value of Tests; Neurology (clinical); Neurology, Neurology, Clinical Neurology, Cohort, Amyotrophic lateral sclerosis, medicine.disease, medicine, Neuroradiology, Proportional hazards model, Cohort study, Predictive value of tests, Physical therapy, medicine.medical_specialty, business.industry, business, Executive dysfunction, Population, education.field_of_study, education
Funded by
EC| EURO-MOTOR
Project
EURO-MOTOR
European multidisciplinary ALS network identification to cure motor neuron degeneration
  • Funder: European Commission (EC)
  • Project Code: 259867
  • Funding stream: FP7 | SP1 | HEALTH
36 references, page 1 of 3

Czaplinski, A, Yen, AA, Appel, SH. Amyotrophic lateral sclerosis: early predictors of prolonged survival. J Neurol. 2006; 253: 1428-1436 [OpenAIRE] [PubMed] [DOI]

Beghi, E, Mennini, T, Bendotti, C. The heterogeneity of amyotrophic lateral sclerosis: a possible explanation of treatment failure. Curr Med Chem. 2007; 14: 3185-3200 [OpenAIRE] [PubMed] [DOI]

Chio, A, Logroscino, G, Hardiman, O. Prognostic factors in ALS: a critical review. Amyotroph Lateral Scler. 2009; 10: 310-323 [OpenAIRE] [PubMed] [DOI]

Chio, A, Ilardi, A, Cammarosano, S, Moglia, C, Montuschi, A, Calvo, A. Neurobehavioral dysfunction in ALS has a negative effect on outcome and use of PEG and NIV. Neurology. 2012; 78: 1085-1089 [OpenAIRE] [PubMed] [DOI]

Elamin, M, Phukan, J, Bede, P. Executive dysfunction is a negative prognostic indicator in patients with ALS without dementia. Neurology. 2011; 76: 1263-1269 [OpenAIRE] [PubMed] [DOI]

Phukan, J, Elamin, M, Bede, P. The syndrome of cognitive impairment in amyotrophic lateral sclerosis: a population-based study. J Neurol Neurosurg Psychiatry. 2012; 83: 102-108 [OpenAIRE] [PubMed] [DOI]

Elamin, M, Bede, P, Byrne, S. Cognitive changes predict functional decline in ALS: a population-based longitudinal study. Neurology. 2013; 80: 1590-1597 [OpenAIRE] [PubMed] [DOI]

O’Toole, O, Traynor, BJ, Brennan, P. Epidemiology and clinical features of amyotrophic lateral sclerosis in Ireland between 1995 and 2004. J Neurol Neurosurg Psychiatry. 2008; 79: 30-32 [OpenAIRE] [PubMed] [DOI]

Brooks, BR, Miller, RG, Swash, M, Munsat, TL. El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotroph Lateral Scler Other Motor Neuron Disord. 2000; 1: 293-299 [OpenAIRE] [PubMed] [DOI]

Montuschi, A, Iazzolino, B, Calvo, A. Cognitive correlates in amyotrophic lateral sclerosis: a population-based study in Italy. J Neurol Neurosurg Psychiatry. 2015; 86: 168-173 [OpenAIRE] [PubMed] [DOI]

Chio, A, Mora, G, Calvo, A, Mazzini, L, Bottacchi, E, Mutani, R. Epidemiology of ALS in Italy: a 10-year prospective population-based study. Neurology. 2009; 72: 725-731 [OpenAIRE] [PubMed] [DOI]

Cedarbaum, JM, Stambler, N, Malta, E. The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function. BDNF ALS Study Group (Phase III). J Neurol Sci. 1999; 169: 13-21 [OpenAIRE] [PubMed] [DOI]

Kimura, F, Fujimura, C, Ishida, S. Progression rate of ALSFRS-R at time of diagnosis predicts survival time in ALS. Neurology. 2006; 66: 265-267 [PubMed] [DOI]

14.Trenerry MCB, DeBoe J, Leber, W (1989) Stroop neuropsychological screening test manual: psychological assessment resources, Odessa, FL

Abrahams, S, Goldstein, LH, Lloyd, CM, Brooks, DJ, Leigh, PN. Cognitive deficits in non-demented amyotrophic lateral sclerosis patients: a neuropsychological investigation. J Neurol Sci. 1995; 129 (Suppl): 54-55 [OpenAIRE] [PubMed] [DOI]

36 references, page 1 of 3
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publication . Article . 2015

Predicting prognosis in amyotrophic lateral sclerosis: a simple algorithm

Elamin, Marwa; Bede, Peter; Montuschi, Anna; Pender, Niall; Chio', Adriano; Hardiman, Orla;