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Objective <p>To establish cutoff values for the Arabic version of the Psoriatic Arthritis Impact of Disease (PsAID) questionnaire and examine their applicability across different cultural and ethnic backgrounds in Arab countries.</p> Methods <p>This study is a sub-analysis of the TACTIC initiative, a multicentric, multinational cross-sectional study. A total of 553 patients diagnosed with PsA from 13 Arab countries were included. Demographic and clinical data were collected, and disease activity was assessed using the Disease Activity in Psoriatic Arthritis (DAPSA) score. Psychometric scores, including the Patient Global Assessment (PGA), Health Assessment Questionnaire (HAQ), Patient Health Questionnaire (PHQ-4), and Fibromyalgia Screening Tool (FiRST), were also evaluated. PsAID thresholds were determined using Ward’s method and the “Anchor-based Threshold Determination” according to changes in DAPSA categories.</p> Results <p>Five hundred fifty-three patients were included in the current analysis, with 59.0% being female. The mean age of the patients was 45.5&#xa0;years (SD 13.15), and the mean disease duration was 8.8&#xa0;years (SD 7.3). The mean PsAID was 3.8 (SD 2.3), and the mean DAPSA was 19.3 (SD 16.1). Two clusters were identified based on PsAID levels. Cluster 1 (<i>n</i> = 315) had a mean PsAID of 2.15, while cluster 2 (<i>n</i> = 238) had a mean PsAID of 6.12. Using Ward’s method, the cutoff value was established at 4.1. A strong positive correlation was observed between DAPSA and PsAID scores (<i>r</i> = 0.718, <i>p</i> &lt; 0.001). The anchor-based threshold analysis—based on shifts in DAPSA disease activity categories—identified a cutoff value of 3.8, which demonstrated good sensitivity and specificity in distinguishing between different levels of disease activity with an AUC of 0.83.</p> Conclusion <p>The Arabic PsAID threshold was found to be consistent with the internationally established value of 4. These identified cutoff points can serve as valuable tools for evaluating the impact of psoriatic arthritis on patients' quality of life. Moreover, they can help guide more personalized treatment strategies across diverse populations and ethnic groups.</p> <p><Table Float="No" ID="Taba"> <tgroup cols="2"> <colspec align="justify" colname="c1" colnum="1" /> <colspec align="justify" colname="c2" colnum="2" /> <tbody> <row> <entry nameend="c2" namest="c1"> <p><b>Key Points</b></p> <p>• <i>This study established cutoff values for the Arabic version of the Psoriatic Arthritis Impact of Disease (PsAID) questionnaire, confirming their alignment with international thresholds.</i></p> <p>•&#xa0;&#xa0;<i>Analysis of 553 patients from 13 Arab countries demonstrated robust correlations between PsAID and disease activity measures, with an optimal cutoff around 4.</i></p> <p>•&#xa0;<i>These thresholds provide reliable tools for assessing disease impact and can support personalized treatment strategies across diverse Arab populations.</i></p> </entry> </row> </tbody> </tgroup> </Table></p>

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Do the Psoriatic Arthritis Impact of Disease’s cutoffs vary across ethnicities? Insights from the TACTIC initiative

  • 期刊论文

  • 发表日期：

    2026年1月10日

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  • Wafa Hamdi,
  • Hanene Lassoued Ferjani,
  • Noura Abbas,
  • Laure Gossec,
  • Ihsane Hmamouchi,
  • Fatima Alnaimat,
  • Krystel Aouad,
  • Avin Maarouf,
  • Suad Hannawi,
  • Chafika Haouichat,
  • Bassel Elzorkany,
  • Lina El Kibbi,
  • Nabaa Ihsan Awadh,
  • Nizar Abdulateef,
  • Ahmed Abogamal,
  • Asal Adnan,
  • Laila Ayoub,
  • Rachid Bahiri,
  • Elyes Bouajina,
  • Faiq Isho Gorial,
  • Hussein Halabi,
  • Manal Mashaleh,
  • Nelly Ziadé

摘要

Objective

To establish cutoff values for the Arabic version of the Psoriatic Arthritis Impact of Disease (PsAID) questionnaire and examine their applicability across different cultural and ethnic backgrounds in Arab countries.

Methods

This study is a sub-analysis of the TACTIC initiative, a multicentric, multinational cross-sectional study. A total of 553 patients diagnosed with PsA from 13 Arab countries were included. Demographic and clinical data were collected, and disease activity was assessed using the Disease Activity in Psoriatic Arthritis (DAPSA) score. Psychometric scores, including the Patient Global Assessment (PGA), Health Assessment Questionnaire (HAQ), Patient Health Questionnaire (PHQ-4), and Fibromyalgia Screening Tool (FiRST), were also evaluated. PsAID thresholds were determined using Ward’s method and the “Anchor-based Threshold Determination” according to changes in DAPSA categories.

Results

Five hundred fifty-three patients were included in the current analysis, with 59.0% being female. The mean age of the patients was 45.5 years (SD 13.15), and the mean disease duration was 8.8 years (SD 7.3). The mean PsAID was 3.8 (SD 2.3), and the mean DAPSA was 19.3 (SD 16.1). Two clusters were identified based on PsAID levels. Cluster 1 (n = 315) had a mean PsAID of 2.15, while cluster 2 (n = 238) had a mean PsAID of 6.12. Using Ward’s method, the cutoff value was established at 4.1. A strong positive correlation was observed between DAPSA and PsAID scores (r = 0.718, p < 0.001). The anchor-based threshold analysis—based on shifts in DAPSA disease activity categories—identified a cutoff value of 3.8, which demonstrated good sensitivity and specificity in distinguishing between different levels of disease activity with an AUC of 0.83.

Conclusion

The Arabic PsAID threshold was found to be consistent with the internationally established value of 4. These identified cutoff points can serve as valuable tools for evaluating the impact of psoriatic arthritis on patients' quality of life. Moreover, they can help guide more personalized treatment strategies across diverse populations and ethnic groups.

Key Points

• This study established cutoff values for the Arabic version of the Psoriatic Arthritis Impact of Disease (PsAID) questionnaire, confirming their alignment with international thresholds.

•  Analysis of 553 patients from 13 Arab countries demonstrated robust correlations between PsAID and disease activity measures, with an optimal cutoff around 4.

• These thresholds provide reliable tools for assessing disease impact and can support personalized treatment strategies across diverse Arab populations.