Literature DB >> 28754667

'It's the progression, doctor': what patients with motor neurone disease really are interested in.

Julian Grosskreutz.   

Abstract

Entities:  

Keywords:  ALS; BRAIN MAPPING; MRI; NEUROPATHOLOGY

Mesh:

Year:  2017        PMID: 28754667      PMCID: PMC5740535          DOI: 10.1136/jnnp-2017-316001

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


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To see a patient and recognise amyotrophic lateral sclerosis as the underlying cause of progressive, painless paralysis without sensory symptoms has been deemed easy, and indeed it is for physicians seeing patients with motor neuron disease on a regular basis. Answering patients’ questions of ‘How bad is it? What will happen to me? How long do I have?’ is however no mean feat; these questions invariably challenge the treating physician to perform a thorough assessment of the extent and the aggressiveness of the disease. While the Amyotrophic lateral sclerosisfunctional rating scale (ALSFRS-R) provides a quantitative measure of functional deficits, it does not follow a linear time course and has limited predictive capability compared to vital capacity.1 The individual causal mechanisms underlying ALS are largely unknown. Despite rapid advances associating more than 60 genes with ALS, few of these predict progression.2 Only recently, phosphorylyated neurofilament heavy chain and neurofilament light chain in corticospinal fluid and serum have been associated with disease load and progression,3 while postmortem studies have identified neuropathological stages of ALS as a progressive spread of pathology from the motor cortex to all monosynaptically connected areas of the brain.4 Yet none of these markers allow individual prediction of the disease course or the extent of extramotor involvement. High-resolution MRI is now being increasingly used to identify pathology variants in different forms of ALS in vivo. In their JNNP paper, Senda and colleagues5 have performed state-of-the-art multimodal MRI in 67 patients with ALS consecutively seen in their clinic. They identified significant ALS-related changes in the brain that correlated with a more aggressive disease course as inferred by ALSFRS-R progression of 6 months after the initial scan. While this group analysis does not allow prognostication of disease progression on an individual basis, it provides a major step forward to answer that all pervading question of ‘What will happen to me?’ because most areas that were associated with a more aggressive disease course were extramotor brain areas. In contrast to ALSFRS-R and vital capacity, MRI allows the detection of the involvement of brain areas that have a significant impact on the patient’s ability to fully comprehend the long-term implications of the ALS diagnosis. These may entail decisions on care modalities, of mobility and ventilatory support, with the latter allowing the patient to survive for a prolonged time period, in some cases beyond the ability to make an informed decision on continuation of ventilation. In the future, MRI further developed to aid an individual assessment of the extent of extramotor brain involvement should assist physicians to recognise a reduction in the patient’s ability to make long-term decisions, something most patients would like to know about erly in the course of ALS.
  5 in total

1.  Neurofilament markers for ALS correlate with extent of upper and lower motor neuron disease.

Authors:  Koen Poesen; Maxim De Schaepdryver; Beatrice Stubendorff; Benjamin Gille; Petra Muckova; Sindy Wendler; Tino Prell; Thomas M Ringer; Heidrun Rhode; Olivier Stevens; Kristl G Claeys; Goedele Couwelier; Ann D'Hondt; Nikita Lamaire; Petra Tilkin; Dimphna Van Reijen; Sarah Gourmaud; Nadin Fedtke; Bianka Heiling; Matthias Rumpel; Annekathrin Rödiger; Anne Gunkel; Otto W Witte; Claire Paquet; Rik Vandenberghe; Julian Grosskreutz; Philip Van Damme
Journal:  Neurology       Date:  2017-05-12       Impact factor: 9.910

2.  Structural MRI correlates of amyotrophic lateral sclerosis progression.

Authors:  Joe Senda; Naoki Atsuta; Hirohisa Watanabe; Epifanio Bagarinao; Kazunori Imai; Daichi Yokoi; Yuichi Riku; Michihito Masuda; Ryoichi Nakamura; Hazuki Watanabe; Mizuki Ito; Masahisa Katsuno; Shinji Naganawa; Gen Sobue
Journal:  J Neurol Neurosurg Psychiatry       Date:  2017-05-13       Impact factor: 10.154

Review 3.  Gene discovery in amyotrophic lateral sclerosis: implications for clinical management.

Authors:  Ammar Al-Chalabi; Leonard H van den Berg; Jan Veldink
Journal:  Nat Rev Neurol       Date:  2016-12-16       Impact factor: 42.937

4.  The ALSFRSr predicts survival time in an ALS clinic population.

Authors:  P Kaufmann; G Levy; J L P Thompson; M L Delbene; V Battista; P H Gordon; L P Rowland; B Levin; H Mitsumoto
Journal:  Neurology       Date:  2005-01-11       Impact factor: 9.910

Review 5.  Amyotrophic lateral sclerosis--a model of corticofugal axonal spread.

Authors:  Heiko Braak; Johannes Brettschneider; Albert C Ludolph; Virginia M Lee; John Q Trojanowski; Kelly Del Tredici
Journal:  Nat Rev Neurol       Date:  2013-11-12       Impact factor: 42.937

  5 in total

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