A QST‐based Pain Phenotype in Adults With Sickle Cell Disease: Sensitivity and Specificity of Quality Descriptors.

Background: We sought to refine a screening measure for discriminating a sensitized or normal sensation pain phenotype among African American adults with sickle cell disease (SCD). Objective: To develop scoring schemes based on sensory pain quality descriptors; evaluate their performance on classify...

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Published in:Pain Practice Vol. 20; no. 2; pp. 168 - 179
Main Authors: Dyal, Brenda W., Ezenwa, Miriam O., Yoon, Saunjoo L., Fillingim, Roger B., Yao, Yingwei, Schlaeger, Judith M., Suarez, Marie L., Wang, Zaijie J., Molokie, Robert E., Wilkie, Diana J.
Format: pictorial research tables/charts Journal Article
Published: Wiley-Blackwell Feb2020
Online Access:View this record in EBSCOhost
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      dt: Feb2020
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        atl: A QST‐based Pain Phenotype in Adults With Sickle Cell Disease: Sensitivity and Specificity of Quality Descriptors.
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          Dyal, Brenda W.
          Ezenwa, Miriam O.
          Yoon, Saunjoo L.
          Fillingim, Roger B.
          Yao, Yingwei
          Schlaeger, Judith M.
          Suarez, Marie L.
          Wang, Zaijie J.
          Molokie, Robert E.
          Wilkie, Diana J.
        affil: Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville Florida, U.S.A.
      sug:
        subj:
          Anemia, Sickle Cell Complications
          Anemia, Sickle Cell Physiopathology
          Pain Threshold Evaluation
          Neuralgia Diagnosis
          Phenotype
          Pain Measurement
          Sensitivity and Specificity
          Human
          Adult
          Scales
          Logistic Regression
          Adult: 19-44 years
      ab: Background: We sought to refine a screening measure for discriminating a sensitized or normal sensation pain phenotype among African American adults with sickle cell disease (SCD). Objective: To 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). Methods: Participants 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. Results: Lasso 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. Conclusion: The PR‐Lasso offers a way to discriminate a SCD pain phenotype.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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