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Predicting 'normal' grip strength for rheumatoid arthritis patients
Rheumatology (Oxford, England)
|July 13, 1999
Summary
Accurate prediction of normal grip strength in rheumatoid arthritis (RA) patients is possible using simple anthropometric measurements, particularly forearm and hand volume. This aids in assessing functional loss and setting treatment goals for improved hand function.
Area of Science:
- Orthopedics
- Rheumatology
- Hand Surgery
Background:
- Rheumatoid arthritis (RA) significantly impacts hand grip strength and functional capacity.
- Accurate assessment of grip strength deviation from normal is crucial for effective RA management and treatment goal setting.
- Predicting normal grip strength can improve the evaluation of functional loss in RA patients.
Purpose of the Study:
- To identify anthropometric parameters that best correlate with grip strength in healthy individuals.
- To determine if these correlations are strong enough to predict normal grip strength in rheumatoid arthritis (RA) patients.
- To establish a baseline for assessing grip strength deficits in RA.
Main Methods:
- Grip strength (power, pinch, tripod) and anthropometric measurements (forearm/hand volume, circumference, length) were assessed in 81 healthy subjects.
- These parameters were correlated with grip strength in healthy subjects and compared to 83 RA patients.
- In RA patients, grip strength was also correlated with disease activity markers (mRAI, VAS).
Main Results:
- Strong correlations were found between grip strength and anthropometric variables in healthy subjects, with forearm and hand volume showing the highest correlation (r=0.729, r=0.638).
- RA patients exhibited significantly lower grip strength compared to healthy individuals.
- Disease activity markers negatively correlated with grip strength in RA patients, and dominant hand strength was reduced in patients compared to controls.
Conclusions:
- Simple anthropometric measurements, especially forearm and hand volume, are valuable for predicting normal grip strength in RA patients.
- These predictions can be utilized in clinical settings and research for baseline assessments.
- The findings support using anthropometry to better understand and manage functional impairments in RA.