2015
DOI: 10.1159/000381625
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Factors Predicting Survival in ALS Patients - Data from a Population-Based Registry in Rhineland-Palatinate, Germany

Abstract: Background: The possibility to survive with amyotrophic lateral sclerosis (ALS) varies considerably and survival extends from a few months to several years. A number of demographic and clinical factors predicting survival have been described; however, existing data are conflicting. We intended to predict patient survival in a population-based prospective cohort of ALS patients from variables known up to the time of diagnosis. Methods: Incident ALS patients diagnosed within three consecutive years were enrolled… Show more

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Cited by 19 publications
(12 citation statements)
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“…The daily lives of ALS patients with TIV may be influenced by the medical care system, nursing care system, various socioeconomic factors or family situations. There are reports that the existence of marital relationships has an impact on the prognosis of ALS patients 32 33. Collecting and analysing this information and investigating the patients’ quality of life are tasks to be addressed in the future.…”
Section: Discussionmentioning
confidence: 99%
“…The daily lives of ALS patients with TIV may be influenced by the medical care system, nursing care system, various socioeconomic factors or family situations. There are reports that the existence of marital relationships has an impact on the prognosis of ALS patients 32 33. Collecting and analysing this information and investigating the patients’ quality of life are tasks to be addressed in the future.…”
Section: Discussionmentioning
confidence: 99%
“…Factors such as living without a partner [31], area of residency [32], nutritional status at diagnosis or during the course of disease [33] as well as a diagnosis of frontotemporal dementia [31], have an unfavorable prognostic role in ALS. Information on clinical, psychosocial or environmental factors were not recorded in our data and we could not assess their role.…”
Section: Discussionmentioning
confidence: 99%
“…For example, the p.Asp91Ala variation of the SOD1 gene is associated with very slow progression 63, 64 , while the p.Ala5Val variant is associated with aggressive disease 65 . Statistical models can be used to provide clinically useful information for patients, the strongest message being that survival is extremely unreliably predicted in individuals, even though patterns can be seen in the data 54, 57, 6668 .…”
Section: Understanding Prognostic Factors In Alsmentioning
confidence: 99%