And why are we using NIHSS for anything to do with stroke? I don't care that it has been used since 1983, is it 100% accurate? Appeal to authority and appeal to antiquity are not valid scientific reasons to keep using this.
Using Fugl-Meyer for comparison seems useless since it is totally subjective and has limited discrimination.
The NIH Stroke Scale Has Limited Utility in Accurate Daily Monitoring of Neurologic Status
The Utility of Quantifiable Neurologic Assessments After Stroke In response to Marsh et al, “The NIH Stroke Scale Has Limited Utility in Accurate Daily Monitoring of Neurologic Status”
The bad research here:
Abstract TP152: Correlation of NIH Stroke Scale and Fugl-Meyer Motor Scales in a Longitudinal Stroke Recovery Study: Implication for Feasibility Survey for Stroke Rehabilitation Trial
Abstract
Introduction:
Recruitments of stroke recovery trials have been challenging. NIH
stroke scale (NIHSS) has been universally collected in the acute stroke
phase, but stroke recovery trials generally use Fugl-Meyer Motor Scale
(FMMS) for outcome measure as well as patient selection criteria. The
knowledge gap on the relationship between the two scales potentially
jeopardize the accuracy of clinical trial recruitment feasibility survey
that is based on NIHSS in the acute phase. We aimed to investigate the
correlation between the two scales in a longitudinal stroke recovery
study.
Methods: This is a prospective
cohort study (Prediction and Imaging biomarker of Post-stroke Motor
Recovery) that enrolled patients with first-ever acute ischemic stroke
with various degrees of motor impairment. NIHSS and FMMS were assessed
2-7 days after onset of stroke symptoms as well as at 90 days (± 15
days) post-stroke. Modified Rankin Scale (mRS), Stroke Impact Scale-16
(SIS-16) and Personal Health Questionnaire-9 (PHQ-9) were collected at
90 days (±15 days). Correlation analysis were conducted with Pearson
Correlation coefficient.
Results: 119
patients met the inclusion criteria and were included in the analysis.
NIH Arm scales of 0, 1, 2, 3 and 4 correspond to FM-UE scales at 3
months of 61.1, 59.8, 58.0, 47.3 and 17.0. NIH leg scales of 1, 2, 3 and
4 correspond to FM_LE scales at 3 months of 32.4, 29.8, 27.8, 21.0 and
17.2. The correlation coefficient between of two leg scales is not as
good as the two arm scales. (0.76 vs. 0.83). Similarly, mRS of 0, 1, 2,
3, 4 and 5 correspond to FMMS of 99.0, 91.6, 85.5, 51.6, 41.5, 21.6 and
SIS-16 of 73.7, 69.6, 64.7, 55.1, 42.8, 25.3.
Conclusions:
Our data suggest that there is a strong correlation pattern between the
NIH arm scale and FM-UE scale, NIH leg scale and FM-LE scale as well as
mRS, FMMS, NIHSS and SIS-16. This information is potentially useful to
inform the feasibility assessment for future stroke rehabilitation
trials done through the NIH Stroke Trials Network.
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