| Name of the Instrument/Tool | Psoriatic Arthritis Disease Activity Score (PASDAS) |
| First Description |
Helliwell PS, FitzGerald O, Fransen J, et al. The development of candidate composite disease activity and responder indices for psoriatic arthritis (GRACE project). Ann Rheum Dis. 2013;72(6):986-991. |
| Year | 2013 |
| Domains | |
| Concept of constructs | Health related quality of life, Disease activity |
| Population/Disease | Disease specific |
| Originally developed for | Psoriatic Arthritis (PsA) |
| Other rheumatic diseases where can be applied (only if validated) |
--- |
| Additional population with no rheumatic diseases |
No |
| Language: Originally published in | English |
| Available in Language | --- |
| REFERENCE IDENTIFICATION | |
| Author/s | Helliwell PS, FitzGerald O, Fransen J, et al. |
| Title | The development of candidate composite disease activity and responder indices for psoriatic arthritis (GRACE project). |
| Journal | Ann Rheum Dis. |
| Year | 2013 |
| Vol | 72 |
| Num | 6 |
| Pages | 986-991 |
| Country | UK |
| Language | English |
| Other references of interest | |
| Link | https://pubmed.ncbi.nlm.nih.gov/26669918/ |
| Brief Description |
This article aims to explore the relationship between MDA and the low disease activity cutoffs of the PASDAS and the CPDAI. Cut-offs for very low disease activity were developed. |
| Link | https://pubmed.ncbi.nlm.nih.gov/31203221/ |
| Brief Description |
This study aimed to validate a cutoff value of PASDAS that defines minimal disease activity (MDA) state, as well as to validate previously defined PASDAS cutoffs for low and high disease activity. |
| Link | https://pubmed.ncbi.nlm.nih.gov/24127416/ |
| Brief Description |
This study aims to compare the performance of the PASDAS, the AMDF, the CPDAI, and the DAPSA in the GO-REVEAL data set. |
| Instrument/Tool Translations References | |
| Link | https://onlinelibrary.wiley.com/doi/full/10.1002/art.40391 |
| Brief Description |
GRAPPA and OMERACT met to further the develop a consensus among physicians and patients regarding composite disease activity measures and targets in psoriatic arthritis (PsA). |
| DEVELOPER CONTACT INFORMATION | |
| Correspondence to | Prof Philip S. Helliwell |
| p.helliwell@leeds.ac.uk | |
| Address | Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds |
| Website | --- |
| Available | --- |
| Links | --- |
| DESCRIPTION OF THE INSTRUMENT | |
| Type Of Measure | Composite Index |
| Brief Description |
The PASDAS is a weighted composite in which the greatest weights are placed on both physician and patient global scores, also has contributions from joints, skin, dactylitis, enthesitis, acute‐phase response, and health‐related QOL, all important aspects of disease for patients and physicians. The following variables were used: patient global VAS (0–100), physician global VAS (0–100), 66 swollen joint count, 68 tender joint count, CRP level (mg/litre), enthesitis (Leeds Enthesitis Score 0-6), tender dactylitis count (score range 0–20), and, finally, the physical component summary (PCS) scale of the Short Form 36 (SF‐36, or SF12) health survey. |
| Number of Items | 7 |
| Range | --- |
| Responses options/scale |
Yes see in the description above. |
| Developed for | --- |
| PRACTICAL APPLICATION | |
| Method of administration | --- |
| Recommendations to score |
A PASDAS score between 0-10 is calculated using a weighted formula. ((0.18 x √Physician global VAS) þ (0.159 x √Patient global VAS) (0.253 x √SF36 PCS) (0.101 x LN (Swollen joint count þ 1)) þ (0.048 x LN (Tender joint count þ 1)) (0.23 LN (Leeds Enthesitis Count þ 1)) (0.377 LN (Dactylitis count þ 1)) (0.102 x LN (CRP þ 1)) 2)*1.5 |
| Score Interpretation | 0= no disease, 10= severe disease |
| Cut-off points | VLDA = 1.9; low/moderate disease = 3.2; moderate/high disease = 5.4 |
| Cut-off points applied to | --- |
| Smallest detectable change if described | --- |
| Smallest detectable change applied to | --- |
| Completion time by the patient | 6 minutes |
| Scoring time by the assessor | 7 minutes |
| Training to score | Physician-based and formula |
| Strengths | Useful in clinical practice & research |
| Limitations | Complex scoring |
| OTHER COMMENTS | |
| Other Comments | --- |