The study covered more than 1,000 patient variables, including demographics, lab tests, patient-reported outcomes and socio-behavioral characteristics.
Here are five points:
1. The study found specific combinations of physical health, mental health and general health status, as well as diabetes, previous joint pain and a patient’s education level, predicted pain for individuals diagnosed with arthritis.
2. Physical health status was the greatest predictor of pain that limited work.
3. The research did not find a link between arthritis pain and a BMI above 30kg/m².
4. One of the algorithms the researchers developed was able to predict pain with a 98.6 percent accuracy rate.
5. The number of people living with crippling arthritis is expected to increase from 52 million to 67 million by 2030.
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