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Open-access Comment on ‘‘The Brazilian Portuguese version of the psoriasis epidemiology screening tool (PEST-bp) is reliable and accurate: a cross-sectional study from southern Brazil’’ - Reply

Dear Editor,

We read with great interest the comments on our article1 and appreciate the opportunity to further discuss and clarify our findings, which we believe helps to advance knowledge in this field.

First, regarding the use of a single static cutoff without stratified performance across specific patient subgroups, our primary objective was to assess the diagnostic accuracy of the PEST-BP in a new Southern Brazilian cohort using the same cutoff (≥3) proposed in the original English version and in the first Brazilian validation. Ibrahim et al. identified ≥3 as the optimal cutoff with high sensitivity and specificity, and Mazzotti et al. confirmed the same threshold in Brazil-ian patients.2,3 In our sample, a score ≥3 yielded an AUC of 0.845 (p < 0.001), with 81% sensitivity, 79.7% specificity, and 80% overall accuracy, thus supporting the robustness of this cutoff in a distinct setting. As acknowledged in our discussion, the single-center design and relatively small sample size limit the power for reliable subgroup analyses (e.g., isolated nail psoriasis or early-onset disease), and we agree that future larger, multicenter studies should address stratified performance. Nonetheless, the PEST-BP already incorporates relevant PsA features, such as dactylitis and nail disease, and is intended as a simple, pragmatic screen-ing tool for dermatology practice, in keeping with current recommendations favoring feasible questionnaires for PsA detection in routine care.4,5

Second, concerning calibration between PEST-BP responses and actual joint involvement patterns, and whether dactylitis and nail psoriasis may have acted as confounders: in our study, patients with PsA had higher frequencies of dactylitis (38.1% vs. 11.4%; p = 0.004), nail psoriasis (66.7% vs. 35.4%; p = 0.01), and PASI ≥ 10 (42.9% vs. 19%; p = 0.023). However, in the multivariate logistic regression, only PEST-BP ≥ 3 and PASI ≥ 10 remained inde-pendently associated with PsA (OR = 32.43; p < 0.001 and OR = 9.26; p = 0.007, respectively), whereas nail psoriasis and dactylitis did not retain independent statistical significance. This supports that the predictive value of PEST-BP is not merely a reflection of these isolated manifestations, but of a broader composite of PsA-related symptoms and signs. PsA diagnosis was established using the CASPAR criteria, and PEST-BP performance was evaluated via ROC analysis against this established standard, which is an accepted approach for validating screening tools.3,6 We agree that more granular calibration analyses linking specific PEST-BP response patterns to particular joint phenotypes would be valuable and should be pursued in larger, dedicated cohorts.

Third, regarding the inclusion of PASI ≥ 10 as an indepen-dent predictor and the possibility of conflating skin severity with joint risk, our results are consistent with evidence showing that higher psoriasis severity is associated with increased PsA risk. Eder et al. reported that severe psoriasis was a predictor of incident PsA in a prospective cohort, and Gelfand et al. observed higher PsA prevalence in patients with more extensive skin involvement.7,8 In our multivariate model, PEST-BP ≥ 3 and PASI ≥ 10 were both independently associated with PsA, suggesting that they capture distinct but complementary dimensions of risk - symptom-based screening versus cutaneous inflammatory burden - rather than representing a simple overlap. We therefore view PASI ≥ 10 not as conflating the construct of the PEST-BP, but as an additive clinical parameter that may help prioritize rheumatologic referral, particularly among patients with moderate-to-severe disease. Future research may formally evaluate whether combined or stepwise strategies (e.g., PEST-BP plus PASI thresholds) can further optimize screening performance.

In conclusion, our study confirms that the PEST-BP with a cutoff ≥3 is a reliable and accurate screening tool for PsA in Brazilian dermatology settings, reinforcing its role in prompting timely rheumatologic evaluation rather than replacing specialist assessment. We are grateful for the constructive comments, which underline important directions for future research on subgroup performance and composite screening models.

  • Study conducted at the Dermatology Clinic, Hospital Universitário de Santa Maria, Universidade Federal de Santa Maria, Santa Maria, RS, Brazil.
  • Financial support
    This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.

Research data availability

The entire dataset supporting the results of this study was published in this article.

References

  • 1 Thomé V, Scalcon MRR, Veiga DTA, Vargas LP, Chagas P, Fagun-des CS, et al. The Brazilian Portuguese version of the psoriasis epidemiology screening tool (PEST-bp) is reliable and accurate: a cross-sectional study from southern Brazil. An Bras Dermatol. 2026;101:501257.
  • 2 Ibrahim GH, Buch MH, Lawson C, Waxman R, Helliwell PS. Evalu-ation of an existing screening tool for psoriatic arthritis in people with psoriasis and the development of a new instrument: the Pso-riasis Epidemiology Screening Tool (PEST) questionnaire. Clin Exp Rheumatol. 2009;27:469-74.
  • 3 Mazzotti NG, Palominos PE, Bredemeier M, Kohem CL, Ces-tari TF. Cross-cultural validation and psychometric properties of the Brazilian Portuguese version of the Psoriasis Epidemiology Screening Tool (PEST-bp). Arch Dermatol Res. 2020;312:197-206.
  • 4 Coates LC, Aslam T, Al Balushi F, et al. Comparison of three screening tools to detect psoriatic arthritis in patients with pso-riasis (CONTEST study). Br J Dermatol. 2013;168:802-7.
  • 5 Scher JU, Ogdie A, Merola JF, Ritchlin C. Preventing psoriatic arthritis: focusing on patients with psoriasis at increased risk of transition. Nat Rev Rheumatol. 2019;15:153-66.
  • 6 Taylor W, Gladman D, Helliwell P, Marchesoni A, Mease P, Mielants H, et al. Classification criteria for psoriatic arthritis: develop-ment of new criteria from a large international study. Arthritis Rheum. 2006;54:2665-73.
  • 7 Eder L, Haddad A, Rosen CF, Lee KA, Chandran V, Cook R, et al. The Incidence and Risk Factors for Psoriatic Arthritis in Patients With Psoriasis: A Prospective Cohort Study. Arthritis Rheumatol. 2016;68:915-23.
  • 8 Gelfand JM, Gladman DD, Mease PJ, Smith N, Margolis DJ, Nijsten T, et al. Epidemiology of psoriatic arthritis in the population of the United States. J Am Acad Dermatol. 2005;5:573.

Edited by

  • Editor
    Hiram Larangeira de Almeida Jr.

Publication Dates

  • Publication in this collection
    03 Aug 2026
  • Date of issue
    2026

History

  • Received
    22 Feb 2026
  • Published
    05 May 2026
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