Predicting mortality in patients with rheumatoid arthritis

Area of Science:

• Rheumatology
• Clinical Epidemiology
• Health Outcomes Research

Background:

• Rheumatoid arthritis (RA) is associated with increased mortality risk.
• Identifying accurate predictors of mortality in RA is crucial for patient management.
• Limited prospective data exists on the magnitude of various risk factors' effects on RA mortality.

Purpose of the Study:

• To evaluate the predictive strength of diverse variables for mortality risk in a large, long-term RA cohort.
• To compare the usefulness of clinical, demographic, laboratory, and radiographic data in predicting RA mortality.
• To assess the impact of patient self-report measures versus objective clinical data.

Main Methods:

• Prospective study of 1387 RA patients over 20 years (1981-2001).
• Collection of extensive clinical, demographic, and patient-reported data.
• Analysis using odds ratios, goodness-of-fit, and contributing fraction to assess predictive strength.

Main Results:

• The Health Assessment Questionnaire (HAQ) disability index was the strongest mortality predictor (OR 2.31 per SD).
• Patient self-report measures, including HAQ, outperformed laboratory and radiographic data.
• Mortality risk reduction of 50% possible by improving HAQ scores from worst to best quartile.

Conclusions:

• The HAQ is the most powerful predictor of mortality in RA patients.
• Patient self-report data provides more clinically useful outcome information than traditional measures.
• Clinicians should prioritize collecting patient self-report data for better RA management and outcome prediction.