Regression-Based Balance Discordance Refines Prediction of Prospective Falls After Subacute Stroke: A Secondary Analysis of the LEAPS Trial

Objective: To determine whether continuous, regression-based measures of balance discordance refine prediction of prospective, recurrent falls after subacute stroke relative to a previously published threshold-based classification in the same cohort, and to characterize how a purely data-driven, dimensionality-reduction-based composite expresses the same underlying measures. Design: Secondary, observational analysis of a randomized controlled trial. Recurrent falls were modeled using Andersen-Gill Cox proportional hazards regression with robust standard errors clustered by participant. Setting: Five-site, National Institutes of Health/National Institute of Neurological Disorders and Stroke funded multicenter trial (Locomotor Experience Applied Post-Stroke, LEAPS). Participants: 384 adults with subacute stroke (of 408 randomized in the parent trial) with valid baseline balance confidence, walking, and balance scores and at least one recorded follow-up interval (2,357 person-intervals, 179 fall events). Main Outcome Measures: Prospective, recurrent falls over 12 months, ascertained via self-report falls diary. Balance discordance was computed as the residual from regressing balance confidence on objective walking distance, Berg Balance Scale performance, or both jointly (multivariable discordance); threshold-based classification used established cut-points on the same measures and principal component analysis served as secondary comparators. Results: Single-variable discordance was associated with lower fall hazard (hazard ratio [HR] = 0.79, 95% CI 0.63-0.99, p = .037), and multivariable discordance was associated with higher fall hazard (HR = 1.27, 95% CI 1.03-1.58, p = .026). None of three threshold-based classification indicators reached significance. Multivariable discordance and a three-component principal-component composite showed comparable model fit (concordance 0.616 vs. 0.618) and were substantially correlated (Rsquared = .49). Conclusions: Continuous, regression-based balance discordance predicted prospective, recurrent falls where a previously published threshold-based classification did not. The divergent direction of single- and multivariable findings suggests overconfidence relative to combined objective function, rather than confidence broadly, may be the more specific marker of fall risk.

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Publication Details

Journal
medRxiv
Published
2026-11-09
DOI
https://doi.org/10.64898/2026.11.06.26367447
Primary Topic
Balance, Gait, and Falls Prevention
Type
preprint
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preprint

Regression-Based Balance Discordance Refines Prediction of Prospective Falls After Subacute Stroke: A Secondary Analysis of the LEAPS Trial

Daniel S. Peterson, Andrew Hooyman, Franziska Albrecht, Jason K. Longhurst
medRxiv
Balance, Gait, and Falls Prevention
preprint

Regression-Based Balance Discordance Refines Prediction of Prospective Falls After Subacute Stroke: A Secondary Analysis of the LEAPS Trial

Daniel S. Peterson, Andrew Hooyman, Franziska Albrecht, Jason K. Longhurst
preprint en

Abstract

Objective: To determine whether continuous, regression-based measures of balance discordance refine prediction of prospective, recurrent falls after subacute stroke relative to a previously published threshold-based classification in the same cohort, and to characterize how a purely data-driven, dimensionality-reduction-based composite expresses the same underlying measures. Design: Secondary, observational analysis of a randomized controlled trial. Recurrent falls were modeled using Andersen-Gill Cox proportional hazards regression with robust standard errors clustered by participant. Setting: Five-site, National Institutes of Health/National Institute of Neurological Disorders and Stroke funded multicenter trial (Locomotor Experience Applied Post-Stroke, LEAPS). Participants: 384 adults with subacute stroke (of 408 randomized in the parent trial) with valid baseline balance confidence, walking, and balance scores and at least one recorded follow-up interval (2,357 person-intervals, 179 fall events). Main Outcome Measures: Prospective, recurrent falls over 12 months, ascertained via self-report falls diary. Balance discordance was computed as the residual from regressing balance confidence on objective walking distance, Berg Balance Scale performance, or both jointly (multivariable discordance); threshold-based classification used established cut-points on the same measures and principal component analysis served as secondary comparators. Results: Single-variable discordance was associated with lower fall hazard (hazard ratio [HR] = 0.79, 95% CI 0.63-0.99, p = .037), and multivariable discordance was associated with higher fall hazard (HR = 1.27, 95% CI 1.03-1.58, p = .026). None of three threshold-based classification indicators reached significance. Multivariable discordance and a three-component principal-component composite showed comparable model fit (concordance 0.616 vs. 0.618) and were substantially correlated (Rsquared = .49). Conclusions: Continuous, regression-based balance discordance predicted prospective, recurrent falls where a previously published threshold-based classification did not. The divergent direction of single- and multivariable findings suggests overconfidence relative to combined objective function, rather than confidence broadly, may be the more specific marker of fall risk.

medRxiv
Chapman University (US), Karolinska Institutet (SE), Saint Louis University (US), Arizona State University (US)
Balance, Gait, and Falls Prevention
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