ASSOCIATIONS BETWEEN GAIT MEASURES AND QUADRICEPS MUSCLE THICKNESS AS MEASURED BY POINT-OF-CARE ULTRASOUND
Bibliographic record
Abstract
Abstract Gait parameters and sarcopenia predict falls risk which is one of the major causes of both mortality and morbidity among older adults. Our objective was to evaluate whether anterior thigh muscle measured by point-of-care ultrasound is significantly associated with standard gait measures. All subjects were referred from ambulatory geriatric medicine clinics at an academic center. Quadriceps muscle thickness was measured by a portable ultrasound device. Gait variables were measured by the patient walking for 6 minutes. The primary response variables were gait variables, and the predictor variables were age, biological sex, body mass index, and MT. Univariate and multivariate regression analyses were performed. A total of 150 participants were recruited from geriatric medicine clinics. Muscle thickness was measured in 149 participants and the mean (SD) was 1.91 (0.52) (median 1.82 cm, 0.96 to 3.68 cm). Among all the gait variables, average swing time (P = 0.010) and average stance time (P = 0.010) were correlated significantly with muscle thickness. Muscle thickness also showed a negative association with step time variability percent (P = 0.005). Muscle thickness (P = 0.046), age (P = 0.025), and gender (P = 0.047) had a statistically significant association with present step time variability. PoCUS showed a significant association with average swing time, average stance time, and step time variability all of which are predictive of future falls risk. Although more work needs to be done, PoCUS is a reliable and feasible muscle measurement method, which could lead to faster clinical decision-making and falls risk assessment.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".