Predicting improvement in the upper paretic limb after stroke: a longitudinal prospective study.

Area of Science:

• Neurorehabilitation
• Stroke Recovery
• Motor Function Assessment

Background:

• Approximately one-third of stroke patients regain upper limb dexterity.
• Determinants of upper limb function improvement post-stroke remain largely unknown.
• Longitudinal studies are crucial for understanding recovery trajectories.

Purpose of the Study:

• To investigate the longitudinal relationship between upper paretic limb function changes and time-dependent covariates.
• To develop a multivariable regression model for predicting upper limb dexterity improvement after stroke.
• To identify key factors influencing motor recovery in stroke survivors.

Main Methods:

• 101 first-ever ischemic stroke patients with middle cerebral artery occlusion were studied.
• 18 repeated measurements over the first post-stroke year captured longitudinal data.
• Outcome measures included Action Research Arm Test (ARAT) change scores and time-dependent covariates like Fugl-Meyer scores.

Main Results:

• Improvement in paretic hand function (FM-hand) was the strongest predictor of ARAT improvement (beta=0.357, p<0.001).
• Paretic arm function (FM-arm) also significantly predicted ARAT improvement (beta=0.007, p<0.001).
• Time was negatively associated with ARAT improvement (beta=-0.001, p<0.001), indicating earlier gains.

Conclusions:

• Upper limb functional recovery is primarily driven by improvements in hand and arm motor control.
• Time is an independent negative predictor, suggesting that maximal improvements occur early post-stroke.
• Understanding these determinants can optimize neurorehabilitation strategies for stroke patients.