Objective: This study aimed to develop a predictive model for early ambulation using clinical indicators obtained immediately after surgery in patients with proximal femoral fractures.Methods: Patients who sustained a proximal femoral fracture and underwent surgery between April 2022 and April 2024, and whose medical records confirmed independent ambulation of at least 10 m before injury, were included. Those who died or had postoperative weight-bearing restrictions were excluded. The outcome variable was the ability to walk 10 meters without assistance at two weeks postoperatively. Predictive features included body mass index (BMI), abbreviated mental test score (AMTS), American Society of Anesthesiologists physical status, use of walking aids pre injury, intraoperative blood loss, and surgical method. A gradient boosting decision tree was used to develop the model.Results: A total of 122 patients were included. Key predictors of ambulation at two weeks were AMTS, BMI, and the use of an intramedullary nail. The model achieved a recall of 72.7%, a precision of 66.6%, and an ROC AUC of 0.80 in an independent test dataset.Conclusion: This study demonstrated the feasibility of a machine learning model to predict early ambulation using immediate postoperative indicators. As walking ability at two weeks is associated with long-term gait recovery and discharge outcomes, this model may aid in optimizing rehabilitation planning and discharge strategies.

Objective: This study aimed to identify the characteristics of cases in which walking level improves even in the later stages of convalescent rehabilitation, and to predict such cases.Methods: The Walking LEVEL Scale (WaLS) was measured over time in 192 patients (brain-related and orthopedic diseases) admitted to a convalescent rehabilitation ward. The “delayed recovery group (DR)” was defined as the group showing improvement of WaLS in the later period, while the “non-delayed recovery group (NDR)” was defined as the group for whom improvement of WaLS did not extend into the same period. Then, changes in WaLS over time and each factor were compared to identify differences between DR and NDR. Using receiver operating characteristic analysis, cutoff values, sensitivity and specificity, likelihood ratios for the relevant factors were calculated and examined for the predictability of DR utilizing Bayesian estimation.Results: WaLS temporal changes showed a sigmoid curve only in the DR of brain-related disease. Other groups showed logarithmic curves. The WaLS score at admission was selected as a significant variable. The positive and negative likelihood ratios for the score at cutoff values of 4 or less were 2.00 and 0.19 for brain-related disease, and 1.49 and 0.63 for orthopedic disease, respectively. Adopting the DR frequency of the participants in this study as the prior probability, the DR posterior probability of brain-related disease was calculated to be 5% using the negative likelihood ratio.Conclusion: The negative likelihood ratio of the WaLS score at admission is useful for predicting DR for brain-related disease.

Introduction: Patients with vertebral compression fractures are likely to decrease physical function and activities of daily living (ADL) due to pain and inactivity. In this study, we examined the effect of the amount of rehabilitation provided on functional prognosis in patients with vertebral compression fracture.Methods: We included 18,174 vertebral compression fracture patients aged 65 years or older in the JMDC multicenter data. Barthel index (BI) gains, BI efficiency, ADL independence at discharge (BI≧95), and discharge home were compared between patients who received an average of at least 1 unit of rehabilitation during hospitalization (high-provider group) and those who received less than 1 unit per day (low-provider group).Results: There were 4,145 patients in the high-provider group and 14,029 in the low-provider group. The high-provider group had higher BI gain and BI efficiency, as well as a higher percentage of patients with independent ADLs at discharge (41.6%) and a higher percentage of patients discharged home (79.2%). In multiple regression analysis, the high-provider group had higher BI gain (regression coefficient: 2.423)and BI efficiency (regression coefficient: 0.043). Multiple logistic regression analysis showed that the high-provider group had a higher rate of discharge home (odds ratio:1.26) and a higher rate of ADL independence at discharge (odds ratio: 1.17).Conclusion: In patients with vertebral compression fractures, the amount of rehabilitation provision may have an impact on functional prognosis.

Objective: To clarify whether early mobilization is a predictive factor for ambulation recovery in elderly patients and/or patients with severe subarachnoid hemorrhage (SAH).Methods: This multicenter retrospective observational study included 471 patients with treated SAH (Group 1). We focused on SAH patients with a poor prognosis, including a subgroup of elderly SAH patients (age>65 years:n=203) (Group 2) and patients with severe SAH (World Federation of Neurological Societies [WFNS] grade IV or V:n=117) (Group 3). The chi-square test and Mann-Whitney U test were used to compare the differences between the ambulation recovery group and the non-recovery group. Multivariable logistic regression analysis modeling was used to estimate odds ratios and 95% confidence intervals of early mobilization for the ambulation-recovered group within 30 days of onset compared with the unrecovered group. Other covariates examined as possible confounders of the outcome were age, sex, location of the ruptured aneurysm, modified Fisher scale score, WFNS grade, mode of treatment (surgical vs. endovascular), duration of cerebrospinal fluid drainage, days on mechanical ventilation, intracerebral hemorrhage, symptomatic cerebral vasospasm, complications, shunt placement for hydrocephalus, and time to start mobilization.Results: Early mobilization was an independent predictive factor for gait recovery in all groups. Furthermore, location of the ruptured aneurysm (anterior circulation), absence of complications, and absence of shunt placement were independent factors for ambulation recovery in all groups.Conclusion: Early mobilization in elder or/and sever patients with SAH may be a predictive factor for ambulation recovery within 30 days of onset.

Objectives: This study investigated the associations between gait velocity and kinematic variables in the first half of the gait cycle according to stroke severity. We performed gait analysis in individuals with stroke, focusing on changes in the center-of-gravity (COG) position on the paretic side in the first half of stance phase.Methods: Gait data of 80 individuals (20 each in Brunnstrom recovery stage: III, IV, V and VI) with stroke acquired using a 3D motion analysis system was retrospectively analyzed. Associations of gait velocity with the COG positions in the anteroposterior directions and vertical increases in the first half of stance phase on the paretic side were compared according to stroke severity, using correlation analysis.Results: Gait velocity showed strong positive correlations with step length on the paretic side at initial contact, the rate of vertical increase in the COG during single-leg stance, and the proportion of single-leg stance time in the gait cycle. The associations between velocity and each kinematic variable differed according to stroke severity. Gait velocity was strongly correlated with the rate of vertical increase in the COG during single-leg stance and the proportion of single-leg stance in severe hemiplegia, while a strong correlation was observed with step length on the paretic side in mild hemiplegia.Conclusion: An upward shift of the COG during single-leg stance was an important factor in gait velocity, and the correlation between gait velocity and the rate of vertical increase in the COG during single-leg stance was stronger when hemiplegia was more severe.

We have experienced a surgeon who had a previous left putaminal hemorrhage and presented with higher brain dysfunctions due to a new right frontal lobe infarction. The patient was a right-handed man in his 50s with inattention, constructive disorder, left hemispatial neglect, and executive dysfunction. The lesions were localized not only in the right inferior and middle frontal gyri but also in deep white matter including the right frontal aslant tract and superior longitudinal fasciculus. The patient gradually resumed work early on with multidisciplinary support and returned to work within 3 months after the onset of the disease. In this case, direct attention training, metacognitive strategy training including time pressure management, and visual search training from the acute stage were successful. Even after the completion of cognitive rehabilitation, an improvement in attention and processing speed was confirmed, suggesting that highly personalized cognitive rehabilitation tailored to higher brain dysfunctions have a lasting effect. However, the improvement of higher brain functions and the resumption of work increased self-awareness and anxiety, leading to a decrease in self-efficacy. Cognitive rehabilitation including metacognitive strategy training, together with psychological support, is important for step-by-step return to work.