Impact of sarcopenia on functional and cognitive recovery in Caucasian post-stroke patients following rehabilitation
Bibliographic record
Abstract
Background & aims Sarcopenia, a progressive and generalized skeletal muscle disorder, significantly hinders post-stroke recovery. Existing research has focused exclusively on Asian populations, leaving effects in Caucasian cohorts largely unexplored. This study aims to evaluate the impact of sarcopenia, as defined by the European Working Group on Sarcopenia in Older People (EWGSOP2) criteria, on functional and cognitive recovery in subacute post-stroke patients undergoing a rehabilitation program. Methods Eighty seven subacute post-stroke patients (71 [61–78] years; 42 women) were evaluated at admission (T0) and after 6 weeks of rehabilitation (T1). At T0, demographic, clinical, and nutritional data were collected, and sarcopenia was diagnosed. Functional and cognitive outcomes—including the modified Barthel Index (mBI), Fugl-Meyer Assessment for Upper Extremity (FMA-UE), Motricity Index for upper and lower limbs (MI-UE, MI-LE), Functional Ambulation Category (FAC), and Montreal Cognitive Assessment (MoCA)—were evaluated at both T0 and T1. Functional and cognitive recovery (ΔmBI, ΔFMA-UE, ΔMI-UE, ΔMI-LE, and ΔMoCA) were also assessed. Intra-group (T0 vs. T1) and inter-group comparisons (sarcopenic vs. nonsarcopenic patients) were then evaluated, and a Propensity Score Matching (PSM) analysis was used to adjust for baseline confounding factors. Results Sarcopenic patients ( n = 24; 14 women) showed poorer nutritional status and lower scores in all functional and cognitive measurements at T0 compared to their non-sarcopenic counterparts. Both groups improved significantly at T1 in mBI, FMA-UE, MI-UE, MI-LE, and FAC. However, even after PSM analysis, the sarcopenic patients exhibited lower FAC (0 [0–1] vs. 3 [1–3], p = 0.010) and lower mBI (40 [27–57] vs. 57 [47–72], p = 0.044) scores at T1, along with a reduced ΔmBI (6 [0–14] vs. 15 [8–21], p = 0.014). Conclusion Our findings emphasize that sarcopenia negatively affects post-stroke recovery of independence and ambulation, highlighting the importance of early identification and targeted interventions in rehabilitation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".