| Literature DB >> 33193036 |
Toyohiro Hamaguchi1,2, Naoki Yamada1, Takuya Hada1, Masahiro Abo1.
Abstract
Recovery from motor paralysis is facilitated by affected patients' recognition of the need for and practice of their own exercise goals. Neurorehabilitation has been proposed and used for the treatment of motor paralysis in stroke, and its effect has been verified. If an expected score for the neurorehabilitation effect can be calculated using the Fugl-Meyer Motor Assessment (FMA), a global assessment index, before neurorehabilitation, such a score will be useful for optimizing the treatment application criteria and for setting a goal to enhance the treatment effect. Therefore, this study verified whether the responsiveness to a treatment method, the NovEl intervention using repetitive transcranial magnetic stimulation and occupational therapy (NEURO), in patients with post-stroke upper extremity (UE) motor paralysis could be predicted by the pretreatment FMA score. No control group was established in this study for NEURO treatment. To analyze the recovery of the motor function in the UE, delta-FMA was calculated from the pre- and post-FMA scores obtained during NEURO treatment. The probability of three levels of treatment responsiveness was evaluated in association with delta-FMA score (<5, 5 ≤ delta-FMA <10, and ≥10 as non-responders; responders; and hyper-responders, respectively) according to the reported minimal clinically important difference (MCID). The association of the initial FMA scores with post-FMA scores, from the status of the treatment responsiveness, was determined by multinomial logistic regression analysis. Finally, 1,254 patients with stroke, stratified by FMA scores were analyzed. About 45% of the patients who had FMA scores ranging from 30 to 40 before treatment showed improvement over the MCID by NEURO treatment (odds ratio = 0.93, 95% CI = 0.92-0.95). Furthermore, more than 25% of the patients with more severe initial values, ranging from 26 to 30, improved beyond the MCID calculated in the acute phase (odds ratio = 0.87, 95% CI = 0.85-0.89). These results suggest that the evaluated motor function score of the UE before NEURO treatment can be used to estimate the possibility of a patient recovering beyond MCID in the chronic phase. This study provided clinical data to estimate the effect of NEURO treatment by the pretreatment FMA-UE score.Entities:
Keywords: motor paralysis; occupational therapy; prediction; stroke; transcranial magnetic stimulation
Year: 2020 PMID: 33193036 PMCID: PMC7606467 DOI: 10.3389/fneur.2020.581186
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Figure 1Chart showing schemes of retrospective prediction of the motor recovery of the upper extremities to determine the goals before treatment in patients with chronic stroke undergoing NEURO. To examine the hypothesis that being a responder, non-responder, or hyper-responder resulted in NEURO treatment can be discriminated using multinomial logistic regression to determine the association of FMA score between initial and delta scores in patients with post-stroke hemiparesis. Delta FMA-UE scores were calculated by subtracting the post- from the pre-NEURO score. The black dotted line drawn from the onset indicates the recovery curve from the acute to the chronic phase. The blue, gray, and yellow lines indicate the non-responders, responders, and hyper-responders of NEURO, respectively, regarding the recovery of motor function of the upper extremity. FMA-UE, Fugl-Meyer assessment of upper extremity; NEURO, NovEl intervention Using Repetitive transcranial magnetic stimulation and Occupational therapy.
Figure 2Flow chart of the study design protocol for the data acquisition and the selection of the participants for the analysis. The participants were divided into three groups by the reported MCID of FMA-UE. MCID, minimal clinically important difference; FMA-UE, Fugl-Meyer assessment of upper extremity; NEURO, NovEl intervention Using Repetitive transcranial magnetic stimulation and Occupational therapy.
Patient characteristics among groups at baseline.
| Participants (n) | 763 (61%) | 382 (26%) | 109 (13%) |
| Age (years) | 63 (56–70) | 63 (55–70) | 64 (56–69) |
| Sex (n) | |||
| Female | 247 (32%) | 123 (32%) | 41 (38%) |
| Male | 516 (68%) | 259 (68%) | 68 (62%) |
| Paralysis side (n) | |||
| Left | 315 (41%) | 173 (45%) | 55 (50%) |
| Right | 448 (59%) | 209 (55%) | 54 (50%) |
| Dominant hand (n) | |||
| Left | 35 (5%) | 23 (6%) | 5 (5%) |
| Right | 728 (95%) | 359 (94%) | 104 (95%) |
| Diagnosis | |||
| CI | 387 (51%) | 194 (51%) | 51 (47%) |
| ICH | 376 (49%) | 188 (49%) | 58 (53%) |
| Time from onset (months) | 41 (23–74) | 41 (24–75) | 37 (21–58) |
| FMA-UE (in charge) | 54 (46–60) | 47 (39–52) | 40 (33–45) |
Values are n (%) or median (interquartile range). CI, cerebral infarction; ICH, intracranial hemorrhage; FMA-UE, Fugl-Meyer Assessment score.
Model coefficients of treatment responsiveness and initial FMA-UE score.
| Responders|Non-responders | Intercept | 2.75 | 1.73, 3.76 | 5.31 | <0.001 |
| Initial FMA-UE | −0.07 | −0.08, −0.06 | −10.01 | <0.001 | |
| Age | −0.00 | −0.01, 0.01 | −0.17 | 0.863 | |
| Sex | 0.02 | −0.25, 0.30 | 0.16 | 0.871 | |
| Month from onset | −0.00 | −0.00, 0.00 | −0.25 | 0.806 | |
| Diagnosis | 0.04 | −0.22, 0.30 | 0.30 | 0.764 | |
| Handedness | 0.35 | −0.21, 0.92 | 1.22 | 0.224 | |
| Hyper-responders|Non-responders | Intercept | 5.11 | 3.54, 6.69 | 6.38 | <0.001 |
| Initial FMA-UE | −0.14 | −0.16, −0.12 | −11.64 | <0.001 | |
| Age | −0.01 | −0.03, 0.01 | −1.03 | 0.302 | |
| Sex | −0.24 | −0.69, 0.22 | −1.02 | 0.306 | |
| Month from onset | −0.00 | −0.01, −0.00 | −0.74 | 0.458 | |
| Diagnosis | 0.28 | −0.16, 0.72 | 1.25 | 0.213 | |
| Handedness | 0.18 | −0.85, 1.2 | 0.34 | 0.729 |
FMA-UE, motor function score of upper extremity by Fugl-Meyer Assessment; N-R, non-responders; R, responders; H-R, hyper-responders.
Figure 3Scatterplots and multinomial logistic probability plots showing the association between level of agreement for initial- and delta FMA score. (A) Initial FMA-UE score plots and histogram of FMA-UE score change for the upper extremities are divided by recovery, according to MCIDs. (B) The logistic curves were discriminated by the probability of being non-responders (delta-FMA-UE score <5 points, blue line), responders (5 ≤ delta-FMA-UE, gray line <10 delta-FMA-UE), and hyper-responders (delta-FMA-UE, yellow line ≥10). FMA: Fugl–Meyer assessment; NEURO, NovEl intervention Using Repetitive transcranial magnetic stimulation and Occupational therapy; MCID, minimal clinically important difference.
Estimated marginal means of Fugl-Meyer Assessment score in upper extremity, compared with responsiveness of treatment.
| 38.8− | N-R | 0.384 | 0.036 | 0.307 | 0.462 |
| R | 0.455 | 0.039 | 0.372 | 0.539 | |
| H-R | 0.160 | 0.034 | 0.087 | 0.234 | |
| 48.9μ | N-R | 0.592 | 0.035 | 0.518 | 0.667 |
| R | 0.347 | 0.033 | 0.277 | 0.419 | |
| H-R | 0.060 | 0.016 | 0.027 | 0.093 | |
| 59.0+ | N-R | 0.760 | 0.030 | 0.695 | 0.825 |
| R | 0.221 | 0.029 | 0.158 | 0.284 | |
| H-R | 0.019 | 0.006 | 0.005 | 0.032 | |
CI, cerebral infarction; ICH, intracerebral hemorrhage, N-R, nonresponders; R, responders; H-R, hyper-responders. –, mean – 1SD; μ, mean; +, mean + 1SD; FMA-UE, Fugl-Meyer Assessment score; SD, standard deviation; SE, standard error.