| Unique ID issued by UMIN | UMIN000058570 |
|---|---|
| Receipt number | R000066550 |
| Scientific Title | Clinically Useful Cutoff Scores for FIM Motor Severity in Acute Stroke: An Ordinal Regression and ROC Analysis of a Large-Sample Cohort |
| Date of disclosure of the study information | 2025/11/30 |
| Last modified on | 2025/07/23 19:09:05 |
Clinically Useful Cutoff Scores for FIM Motor Severity in Acute Stroke
Cutoff Scores for ADL Severity in Acute Stroke
Clinically Useful Cutoff Scores for FIM Motor Severity in Acute Stroke: An Ordinal Regression and ROC Analysis of a Large-Sample Cohort
Clinically Useful Cutoff Scores for FIM Motor Severity in Acute Stroke
| Japan |
Patients with acute stroke
| Neurology | Rehabilitation medicine |
Others
NO
To identify clinical factors associated with the severity of motor FIM scores at discharge among patients with acute stroke.
Others
To derive predictive cutoff values-particularly of NIHSS-that distinguish between severity levels.
Functional Independence Measure motor score, National Institutes of Health Stroke Scale
Age, sex, stroke subtype, pre-stroke modified Rankin Scale
Observational
| 18 | years-old | <= |
| Not applicable |
Male and Female
Patients who had been admitted to the stroke care unit with a diagnosis of either cerebral infarction or cerebral hemorrhage and had received rehabilitation during hospitalization.
Missing data in FIM at discharge, NIHSS scores at onset, or other variables, and death.
1000
| 1st name | Satoru |
| Middle name | |
| Last name | Amano |
Kitasato University
Department of Rehabilitation
252-0329
1-15-1, Kitasato, Minami-Ku, Sagamihara, Kanagawa
042-778-8111
s-amano@kitasato-u.ac.jp
| 1st name | Sora |
| Middle name | |
| Last name | Kurosaki |
Kitasato University Hospital
Department of Rehabilitation
252-0375
1-15-1, Kitasato, Minami-Ku, Sagamihara, Kanagawa
042-778-8111
kurosaki1124sora@gmail.com
Kitasato University Hospital
Sora Kurosaki
Kitasato University Hospital
Other
Kitasato University Hospital
1-15-1, Kitasato, Minami-Ku, Sagamihara, Kanagawa
042-778-8111
kurosaki1124sora@gmail.com
NO
| 2025 | Year | 11 | Month | 30 | Day |
Unpublished
Preinitiation
| 2025 | Year | 07 | Month | 23 | Day |
| 2020 | Year | 03 | Month | 10 | Day |
| 2025 | Year | 07 | Month | 24 | Day |
| 2025 | Year | 12 | Month | 31 | Day |
To identify predictors of FIM motor severity, an ordinal logistic regression model was constructed with FIM motor severity level (1 = severe, 2 = moderate, 3 = mild) as the dependent variable. Predictor variables included age, pre-stroke mRS, NIHSS at onset, and stroke type (ischemic or hemorrhagic). Odds ratios (ORs), 95% confidence intervals (CIs), and p-values were reported. Model fit was assessed using a likelihood ratio test and McFadden's pseudo-R squared. To evaluate the discriminative performance of the model, ROC curve analyses were performed to assess the ability to distinguish between adjacent severity levels. In addition, nonparametric group comparisons across the three FIM motor severity levels were conducted for continuous variables (age, pre-stroke mRS, and NIHSS) using the Kruskal-Wallis test, followed by Steel-Dwass post hoc tests. Stroke type was compared across severity groups using Pearson's chi-squared test. Finally, for each predictor that was significantly associated with FIM motor severity, ROC curve analysis was performed to derive optimal cutoff values using the Youden index.
| 2025 | Year | 07 | Month | 23 | Day |
| 2025 | Year | 07 | Month | 23 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000066550