NOTE: This BASDAI Calculator is not intended to substitute for professional medical diagnosis. Please consult your physician or Doctor for personalized medical advice.
Always seek the advice of a physician or other qualified healthcare provider with any questions regarding a medical condition. The BASDAI Score Calculator assesses disease activity in patients with Ankylosing Spondylitis (AS). It helps measure the severity of symptoms such as pain, stiffness, and fatigue on a scale to guide treatment decisions.
What is the BASDAI Score Calculator?
The BASDAI Score Calculator is a tool used to assess disease activity in Ankylosing Spondylitis (AS) patients.
- It stands for Bath Ankylosing Spondylitis Disease Activity Index.
- The calculator evaluates various symptoms, including pain, stiffness, fatigue, and other related factors.
- It provides a numeric score that reflects the severity of disease activity in AS patients.
- The BASDAI score aids healthcare professionals in making treatment decisions and monitoring the progression of the condition.
Bath Ankylosing Spondylitis Disease Activity Index – BASDAI score meaning
The Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) is a tool used to assess disease activity in Ankylosing Spondylitis (AS) patients.
- It evaluates symptoms such as pain, stiffness, fatigue, and discomfort experienced by the patient.
- The BASDAI score is a numerical value that indicates the severity of disease activity in AS patients.
- A higher BASDAI score suggests more active disease and greater symptom burden.
- Healthcare professionals use the BASDAI score to guide treatment decisions and monitor the effectiveness of interventions over time.
BASDAI Score Formula
The BASDAI (Bath Ankylosing Spondylitis Disease Activity Index) score is calculated using the following formula:
BASDAI = ((Q1 + Q2 + Q3 + Q4) + ((Q5 + Q6) / 2)) / 5
where:
- Q1 refers to the score of the first question related to fatigue.
- Q2 refers to the score of the second question related to spinal pain.
- Q3 refers to the score of the third question related to joint pain and swelling.
- Q4 refers to the score of the fourth question related to areas of localized tenderness.
- Q5 refers to the score of the fifth question related to the severity of morning stiffness.
- Q6 refers to the score of the sixth question related to the overall patient’s well-being.
Each question can be scored from 0 to 10 points, and the total BASDAI score can range from 0 to 10 points.
BASDAI Score Interpretation
here’s the BASDAI score interpretation.
| BASDAI Score | Interpretation |
|---|
| 0 – 1 | Low disease activity |
| 1.1 – 2 | Moderate disease activity |
| 2.1 – 4 | High disease activity |
| 4.1 – 6 | Very high disease activity |
| 6.1 – 10 | Extremely high disease activity or flare-up |
The higher the BASDAI score, the greater the disease activity, indicating a need for closer monitoring and potential changes in treatment.
BASDAI Score Calculator Benefits
Here are BASDAI Score Calculator Benefits.
- Provides a quantitative assessment of disease activity in patients with ankylosing spondylitis.
- Helps clinicians monitor disease progression and response to treatment over time.
- Facilitates treatment decision-making by identifying patients who may benefit from a change in therapy or enrollment in clinical trials.
- Offers a standardized and objective tool for evaluating disease activity, leading to better communication and understanding between healthcare providers and patients.
Summary BASDAI Score Calculator is a valuable tool to assess disease activity in ankylosing spondylitis patients, guiding treatment decisions and clinical management.
References:
- Monitoring of disease activity with a smartphone app in routine clinical care in patients with axial spondyloarthritis. Robin Kempin, Jutta G. Richter, Anna Schlegel, Xenofon Baraliakos, Styliani Tsiami, Bjoern Buehring, David Kiefer, Juergen Braun and Uta Kiltz. The Journal of Rheumatology April 2022, jrheum.211116; DOI
- Axial spondyloarthritis treatment recommendations and disease activity monitoring in clinical practice – results of an online survey. Stephanie Sinnappan, Alexandra Forte and Joerg Ermann. The Journal of Rheumatology January 2024, jrheum.2023-0894; DOI
