Development and testing of new candidate psoriatic arthritis screening questionnaires combining optimal questions from existing tools

Laura C Coates; Jessica Walsh; Muhammad Haroon; Oliver FitzGerald; Tariq Aslam; Farida Al Balushi; A D Burden; Esther Burden-Teh; Anna R Caperon; Rino Cerio; Chandrabhusan Chattopadhyay; Hector Chinoy; Mark J D Goodfield; Lesley Kay; Stephen Kelly; Bruce W Kirkham; Christopher R Lovell; Helena Marzo-Ortega; Neil McHugh; Ruth Murphy; Nick J Reynolds; Catherine H Smith; Elizabeth J C Stewart; Richard B Warren; Robin Waxman; Hilary E Wilson; Philip S Helliwell

doi:10.1002/acr.22284

Development and testing of new candidate psoriatic arthritis screening questionnaires combining optimal questions from existing tools

Laura C Coates, Jessica Walsh, Muhammad Haroon, Oliver FitzGerald, Tariq Aslam, Farida Al Balushi, A D Burden, Esther Burden-Teh, Anna R Caperon, Rino Cerio, Chandrabhusan Chattopadhyay, Hector Chinoy, Mark J D Goodfield, Lesley Kay, Stephen Kelly, Bruce W Kirkham, Christopher R Lovell, Helena Marzo-Ortega, Neil McHugh, Ruth MurphyNick J Reynolds, Catherine H Smith, Elizabeth J C Stewart, Richard B Warren, Robin Waxman, Hilary E Wilson, Philip S Helliwell

Dermatology

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

Abstract

OBJECTIVE: Several questionnaires have been developed to screen for psoriatic arthritis (PsA), but head-to-head studies have found limitations. This study aimed to develop new questionnaires encompassing the most discriminative questions from existing instruments.

METHODS: Data from the CONTEST study, a head-to-head comparison of 3 existing questionnaires, were used to identify items with a Youden index score of ≥0.1. These were combined using 4 approaches: CONTEST (simple additions of questions), CONTESTw (weighting using logistic regression), CONTESTjt (addition of a joint manikin), and CONTESTtree (additional questions identified by classification and regression tree [CART] analysis). These candidate questionnaires were tested in independent data sets.

RESULTS: Twelve individual questions with a Youden index score of ≥0.1 were identified, but 4 of these were excluded due to duplication and redundancy. Weighting for 2 of these questions was included in CONTESTw. Receiver operating characteristic (ROC) curve analysis showed that involvement in 6 joint areas on the manikin was predictive of PsA for inclusion in CONTESTjt. CART analysis identified a further 5 questions for inclusion in CONTESTtree. CONTESTtree was not significant on ROC curve analysis and discarded. The other 3 questionnaires were significant in all data sets, although CONTESTw was slightly inferior to the others in the validation data sets. Potential cut points for referral were also discussed.

CONCLUSION: Of 4 candidate questionnaires combining existing discriminatory items to identify PsA in people with psoriasis, 3 were found to be significant on ROC curve analysis. Testing in independent data sets identified 2 questionnaires (CONTEST and CONTESTjt) that should be pursued for further prospective testing.

Original language	English
Pages (from-to)	1410-6
Number of pages	7
Journal	Arthritis care & research
Volume	66
Issue number	9
DOIs	https://doi.org/10.1002/acr.22284
Publication status	Published - Sept 2014

Keywords

Arthritis, Psoriatic
Humans
Mass Screening
Sensitivity and Specificity
Surveys and Questionnaires

Access to Document

10.1002/acr.22284

Cite this

Coates, L. C., Walsh, J., Haroon, M., FitzGerald, O., Aslam, T., Al Balushi, F., Burden, A. D., Burden-Teh, E., Caperon, A. R., Cerio, R., Chattopadhyay, C., Chinoy, H., Goodfield, M. J. D., Kay, L., Kelly, S., Kirkham, B. W., Lovell, C. R., Marzo-Ortega, H., McHugh, N., ... Helliwell, P. S. (2014). Development and testing of new candidate psoriatic arthritis screening questionnaires combining optimal questions from existing tools. Arthritis care & research, 66(9), 1410-6. https://doi.org/10.1002/acr.22284

@article{ee640e585b8e45cd9b1d92e5a621d1d6,

title = "Development and testing of new candidate psoriatic arthritis screening questionnaires combining optimal questions from existing tools",

abstract = "OBJECTIVE: Several questionnaires have been developed to screen for psoriatic arthritis (PsA), but head-to-head studies have found limitations. This study aimed to develop new questionnaires encompassing the most discriminative questions from existing instruments.METHODS: Data from the CONTEST study, a head-to-head comparison of 3 existing questionnaires, were used to identify items with a Youden index score of ≥0.1. These were combined using 4 approaches: CONTEST (simple additions of questions), CONTESTw (weighting using logistic regression), CONTESTjt (addition of a joint manikin), and CONTESTtree (additional questions identified by classification and regression tree [CART] analysis). These candidate questionnaires were tested in independent data sets.RESULTS: Twelve individual questions with a Youden index score of ≥0.1 were identified, but 4 of these were excluded due to duplication and redundancy. Weighting for 2 of these questions was included in CONTESTw. Receiver operating characteristic (ROC) curve analysis showed that involvement in 6 joint areas on the manikin was predictive of PsA for inclusion in CONTESTjt. CART analysis identified a further 5 questions for inclusion in CONTESTtree. CONTESTtree was not significant on ROC curve analysis and discarded. The other 3 questionnaires were significant in all data sets, although CONTESTw was slightly inferior to the others in the validation data sets. Potential cut points for referral were also discussed.CONCLUSION: Of 4 candidate questionnaires combining existing discriminatory items to identify PsA in people with psoriasis, 3 were found to be significant on ROC curve analysis. Testing in independent data sets identified 2 questionnaires (CONTEST and CONTESTjt) that should be pursued for further prospective testing.",

keywords = "Arthritis, Psoriatic, Humans, Mass Screening, Sensitivity and Specificity, Surveys and Questionnaires",

author = "Coates, {Laura C} and Jessica Walsh and Muhammad Haroon and Oliver FitzGerald and Tariq Aslam and {Al Balushi}, Farida and Burden, {A D} and Esther Burden-Teh and Caperon, {Anna R} and Rino Cerio and Chandrabhusan Chattopadhyay and Hector Chinoy and Goodfield, {Mark J D} and Lesley Kay and Stephen Kelly and Kirkham, {Bruce W} and Lovell, {Christopher R} and Helena Marzo-Ortega and Neil McHugh and Ruth Murphy and Reynolds, {Nick J} and Smith, {Catherine H} and Stewart, {Elizabeth J C} and Warren, {Richard B} and Robin Waxman and Wilson, {Hilary E} and Helliwell, {Philip S}",

note = "Copyright {\textcopyright} 2014 by the American College of Rheumatology.",

year = "2014",

month = sep,

doi = "10.1002/acr.22284",

language = "English",

volume = "66",

pages = "1410--6",

journal = "Arthritis care & research",

issn = "2151-464X",

publisher = "John Wiley and Sons Inc.",

number = "9",

}

Coates, LC, Walsh, J, Haroon, M, FitzGerald, O, Aslam, T, Al Balushi, F, Burden, AD, Burden-Teh, E, Caperon, AR, Cerio, R, Chattopadhyay, C, Chinoy, H, Goodfield, MJD, Kay, L, Kelly, S, Kirkham, BW, Lovell, CR, Marzo-Ortega, H, McHugh, N, Murphy, R, Reynolds, NJ, Smith, CH, Stewart, EJC, Warren, RB, Waxman, R, Wilson, HE & Helliwell, PS 2014, 'Development and testing of new candidate psoriatic arthritis screening questionnaires combining optimal questions from existing tools', Arthritis care & research, vol. 66, no. 9, pp. 1410-6. https://doi.org/10.1002/acr.22284

TY - JOUR

T1 - Development and testing of new candidate psoriatic arthritis screening questionnaires combining optimal questions from existing tools

AU - Coates, Laura C

AU - Walsh, Jessica

AU - Haroon, Muhammad

AU - FitzGerald, Oliver

AU - Aslam, Tariq

AU - Al Balushi, Farida

AU - Burden, A D

AU - Burden-Teh, Esther

AU - Caperon, Anna R

AU - Cerio, Rino

AU - Chattopadhyay, Chandrabhusan

AU - Chinoy, Hector

AU - Goodfield, Mark J D

AU - Kay, Lesley

AU - Kelly, Stephen

AU - Kirkham, Bruce W

AU - Lovell, Christopher R

AU - Marzo-Ortega, Helena

AU - McHugh, Neil

AU - Murphy, Ruth

AU - Reynolds, Nick J

AU - Smith, Catherine H

AU - Stewart, Elizabeth J C

AU - Warren, Richard B

AU - Waxman, Robin

AU - Wilson, Hilary E

AU - Helliwell, Philip S

PY - 2014/9

Y1 - 2014/9

N2 - OBJECTIVE: Several questionnaires have been developed to screen for psoriatic arthritis (PsA), but head-to-head studies have found limitations. This study aimed to develop new questionnaires encompassing the most discriminative questions from existing instruments.METHODS: Data from the CONTEST study, a head-to-head comparison of 3 existing questionnaires, were used to identify items with a Youden index score of ≥0.1. These were combined using 4 approaches: CONTEST (simple additions of questions), CONTESTw (weighting using logistic regression), CONTESTjt (addition of a joint manikin), and CONTESTtree (additional questions identified by classification and regression tree [CART] analysis). These candidate questionnaires were tested in independent data sets.RESULTS: Twelve individual questions with a Youden index score of ≥0.1 were identified, but 4 of these were excluded due to duplication and redundancy. Weighting for 2 of these questions was included in CONTESTw. Receiver operating characteristic (ROC) curve analysis showed that involvement in 6 joint areas on the manikin was predictive of PsA for inclusion in CONTESTjt. CART analysis identified a further 5 questions for inclusion in CONTESTtree. CONTESTtree was not significant on ROC curve analysis and discarded. The other 3 questionnaires were significant in all data sets, although CONTESTw was slightly inferior to the others in the validation data sets. Potential cut points for referral were also discussed.CONCLUSION: Of 4 candidate questionnaires combining existing discriminatory items to identify PsA in people with psoriasis, 3 were found to be significant on ROC curve analysis. Testing in independent data sets identified 2 questionnaires (CONTEST and CONTESTjt) that should be pursued for further prospective testing.

AB - OBJECTIVE: Several questionnaires have been developed to screen for psoriatic arthritis (PsA), but head-to-head studies have found limitations. This study aimed to develop new questionnaires encompassing the most discriminative questions from existing instruments.METHODS: Data from the CONTEST study, a head-to-head comparison of 3 existing questionnaires, were used to identify items with a Youden index score of ≥0.1. These were combined using 4 approaches: CONTEST (simple additions of questions), CONTESTw (weighting using logistic regression), CONTESTjt (addition of a joint manikin), and CONTESTtree (additional questions identified by classification and regression tree [CART] analysis). These candidate questionnaires were tested in independent data sets.RESULTS: Twelve individual questions with a Youden index score of ≥0.1 were identified, but 4 of these were excluded due to duplication and redundancy. Weighting for 2 of these questions was included in CONTESTw. Receiver operating characteristic (ROC) curve analysis showed that involvement in 6 joint areas on the manikin was predictive of PsA for inclusion in CONTESTjt. CART analysis identified a further 5 questions for inclusion in CONTESTtree. CONTESTtree was not significant on ROC curve analysis and discarded. The other 3 questionnaires were significant in all data sets, although CONTESTw was slightly inferior to the others in the validation data sets. Potential cut points for referral were also discussed.CONCLUSION: Of 4 candidate questionnaires combining existing discriminatory items to identify PsA in people with psoriasis, 3 were found to be significant on ROC curve analysis. Testing in independent data sets identified 2 questionnaires (CONTEST and CONTESTjt) that should be pursued for further prospective testing.

KW - Arthritis, Psoriatic

KW - Humans

KW - Mass Screening

KW - Sensitivity and Specificity

KW - Surveys and Questionnaires

U2 - 10.1002/acr.22284

DO - 10.1002/acr.22284

M3 - Article

C2 - 24470406

SN - 2151-464X

VL - 66

SP - 1410

EP - 1416

JO - Arthritis care & research

JF - Arthritis care & research

IS - 9

ER -

Development and testing of new candidate psoriatic arthritis screening questionnaires combining optimal questions from existing tools

Abstract

Keywords

Access to Document

Fingerprint

Cite this