| Literature DB >> 32558369 |
Marta Gromicho1, Manuel Figueiral2, Hilmi Uysal3, Julian Grosskreutz4, Magdalena Kuzma-Kozakiewicz5, Susana Pinto1, Susanne Petri6, Sara Madeira2, Michael Swash1,7, Mamede de Carvalho1,8.
Abstract
OBJECTIVE: To investigate disease spread in amyotrophic lateral sclerosis (ALS), and determine the influence of lower (LMN) and upper motor neuron (UMN) involvement.Entities:
Mesh:
Year: 2020 PMID: 32558369 PMCID: PMC7359118 DOI: 10.1002/acn3.51098
Source DB: PubMed Journal: Ann Clin Transl Neurol ISSN: 2328-9503 Impact factor: 4.511
Criteria for upper motor neurone (UMN) and lower motor neurone (LMN) signs in each region: agreed by consensus (see text). The signs are considered specific for each region (signs of diaphragm weakness were considered to indicate thoracic region involvement, since trunk and diaphragm lower motor neuron loss have a strong correlation – de Carvalho et al., 2010).
| Region | UMN | LMN |
|---|---|---|
| Bulbar |
Brisk jaw jerk Jaw clonus Tongue spasticity |
Tongue atrophy Tongue or facial fasciculations Atrophy of masseter muscle Weak orbicularis oris muscle Reduced jaw jerk |
|
Upper limbs |
Increased tendon reflexes Hoffmann’s sign Spasticity |
Weakness and muscle atrophy Fasciculations Reduced tendon reflexes |
|
Axial (thoracic) |
_ |
Weakness of neck Orthopnea Resting respiratory fatigue Exertional respiratory fatigue to minor efforts Paradoxical respiration Weak cough |
|
Lower limbs |
Increased tendon reflexes Babinski response Spasticity |
Weakness and muscle atrophy Fasciculations Reduced tendon reflexes |
Figure 1Flowchart showing recruitment of patients.
Basic clinical features.
| Patients (n = 1300) | |
|---|---|
| Gender (male) (%) | 754 (58.0%) |
| Region of onset (n, %) | |
| Lower limbs | 443 (34.1%) |
| Right/ Left/ Both | 175 (39.5%)/ 171 (38.6%)/ 97 (21.9%) |
| Upper limbs | 438 (33.7%) |
| Right/ Left/ Both | 232 (53.0%)/ 154 (35.1%)/ 52 (11.9%) |
| Bulbar | 334 (25.7%) |
| Thoracic (respiratory and axial) | 28 (2.2%) |
| Fronto‐temporal dementia | 14 (1.1%) |
| Two affected regions at onset | 34 (2.6%) |
| Generalized (>2 affected regions at onset) | 9 (0.7%) |
| Diagnostic delay (months) (median, IQR) | 11.0 (6.0 – 21.0%) |
| Disease category (n, %) | |
| Definitive | 402 (30.9%) |
| Probable | 402 (30.9%) |
| Possible | 165 (12.7%) |
| Probable laboratory‐supported | 170 (13.1%) |
| PMA | 161 (12.4%) |
| UMN | |
| Fronto‐temporal dementia | 14 (1.1%) |
| UMN | 257 (19.8%) |
| LMN | 889 (68.4%) |
| UMN + LMN | 79 (6.1%) |
| Not classified | 61 (4.7%) |
Figure 2A and B, Illustrates the spread from the region of onset to the 2nd region affected in UMN onset (A) and LMN onset (B). Arrows with red numbers represent a unit related to the spreading rate (months‐1), and arrows with blue numbers represent the proportion of patients progressing to the next region (cumulative %) derived from the fitting curve equations. Dashed arrows represent progressions for which a good statistical model (adequate curve fit) was not attained.
Figure 3A and B, Illustrates the spread to the 3rd region affected in UMN onset (A) and LMN onset (B). Arrows, with red numbers represent a unit related to the spreading rate (months‐1), and arrows with blue numbers represent the proportion of patients progressing to the next region (cumulative %) derived from the fitting curve equations. Dashed arrows represent progressions for which a good statistical model (adequate curve fit) was not attained.
Figure 4A and B, Illustrates the spread from the region of onset to the 2nd region affected in UMN onset (A) and LMN onset (B). The numbers are the normalized area under the curve (AUC) values. The AUC is represented graphically as the area between the % of patients versus time curve and the contralateral axis (x) and was calculated by computing a definite integral between the two points (x = 0 and x = 36) with the Python function, “scipy.integrate.quad” derived. Values were then normalized dividing all values for the maximum (the cervical UMN to lumbosacral region value). Dashed arrows represent progressions for which a good statistical model (adequate curve fit) was not attained.
Figure 5A and B, Illustrates the spread to the 3rd region affected in UMN onset (A) and LMN onset (B). The numbers are the normalized area under the curve (AUC) values. The AUC is represented graphically as the area between the % of patients versus time curve and the contralateral axis (x) and was calculated by computing a definite integral between the two points (x = 0 and x = 36) with the Python function, “scipy.integrate.quad” derived. Values were then normalized dividing all values for the maximum (the thoracic to cervical region value). Dashed arrows represent progressions for which a good statistical model (adequate curve fit) was not attained.
Figure 6A, Cumulative % of patients that did not spread from onset to a 2nd region within 36 months of disease duration. B, Cumulative % of patients that did not spread to a 3rd region within 36 months of disease duration.