• Brenda W Dyal, Miriam O Ezenwa, Saunjoo L Yoon, Roger B Fillingim, Yingwei Yao, Judith M Schlaeger, Marie L Suarez, Zaijie J Wang, Robert E Molokie, and Diana J Wilkie.
• Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, Florida, U.S.A.
• Pain Pract. 2020 Feb 1; 20 (2): 168-178.

BackgroundWe sought to refine a screening measure for discriminating a sensitized or normal sensation pain phenotype among African American adults with sickle cell disease (SCD).ObjectiveTo develop scoring schemes based on sensory pain quality descriptors; evaluate their performance on classifying patients with SCD who had sensitization or normal sensation, and compare with scores on the Self-report Leeds Assessment of Neuropathic Symptoms and Signs (S-LANSS) and the Neuropathic Pain Symptom Inventory (NPSI).MethodsParticipants completed PAINReportIt, quantitative sensory testing (QST), S-LANSS, and NPSI. Conventional binary logistic regression and least absolute shrinkage and selection operator (lasso) regression were used to obtain 2 sets of weights resulting in 2 scores: the PR-Logistic (PAINReportIt score weighted by conventional binary logistic regression coefficients) and PR-Lasso (PAINReportIt score weighted by lasso regression coefficients). Performance of the proposed scores and the existing scores were evaluated.ResultsLasso regression resulted in a parsimonious model with non-zero weights assigned to 2 neuropathic descriptors, cold and spreading. We found positive correlations between the PR-Lasso and other scores: S-LANSS (r = 0.22, P < 0.01), NPSI (r = 0.22, P < 0.01), and PR-Logistic (r = 0.35, P < 0.01). The NPSI and PR-Lasso performed similarly at different levels of required specificity and outperformed the S-LANSS and PR-Logistic at the various specificity points.ConclusionThe PR-Lasso offers a way to discriminate a SCD pain phenotype.© 2019 World Institute of Pain.

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