Dyal BW, Ezenwa MO, Yoon SL, et al. - With the aim to improve a screening measure for distinguishing a sensitized or normal sensation pain phenotype among African American adults with sickle cell disease (SCD), researchers sought to develop scoring schemes based on sensory pain quality descriptors. In addition, they assessed their performance on classifying patients with SCD who had sensitization or normal sensation and compared them with scores on the Self-report Leeds Assessment of Neuropathic Symptoms and Signs (S-LANSS) and the Neuropathic Pain Symptom Inventory (NPSI). Participants were made to complete PAINReportIt, quantitative sensory testing (QST), S-LANSS, and NPSI. They obtained two sets of weights using conventional binary logistic regression and least absolute shrinkage and selection operator (lasso) regression that resulted 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). Findings revealed positive correlations between the PR-Lasso and other scores. At different levels of required specificity, similar performance of NPSI and PR-Lasso was reported; these scores outperformed the S-LANSS and PR-Logistic at the various specificity points. The PR-Lasso thereby provides a way to identify an SCD pain phenotype.