Sensitivity of the Positive and Negative Syndrome Scale (PANSS) in Detecting Treatment Effects via Network Analysis.

Objective. The Positive and Negative Syndrome Scale is a primary outcome measure in clinical trials examining the efficacy of antipsychotic medications. Although the Positive and Negative Syndrome Scale has demonstrated sensitivity as a measure of treatment change in studies using traditional univar...

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Publicado en:Innovations in Clinical Neuroscience Vol. 14; no. 11/12; pp. 59 - 68
Autores principales: ESFAHLANI, FARNAZ ZAMANI, HIROKI SAYAMA, VISSER, KATHERINE FROST, STRAUSS, GREGORY P.
Formato: equations & formulas research tables/charts Journal Article
Publicado: Matrix Medical Communications, LLC Nov/Dec2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov/Dec2017
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        atl: Sensitivity of the Positive and Negative Syndrome Scale (PANSS) in Detecting Treatment Effects via Network Analysis.
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        au:
          ESFAHLANI, FARNAZ ZAMANI
          HIROKI SAYAMA
          VISSER, KATHERINE FROST
          STRAUSS, GREGORY P.
        affil: PhD candidate in the Systems Science program at the State University of New York at Binghamton
      sug:
        subj:
          Instrument Validation
          Sensitivity and Specificity
          Antipsychotic Agents Therapeutic Use
          Psychotic Disorders Drug Therapy
          Community Networks
          Treatment Outcomes
          Human
          Psychotic Disorders Diagnosis
          Health Information Networks
      ab: Objective. The Positive and Negative Syndrome Scale is a primary outcome measure in clinical trials examining the efficacy of antipsychotic medications. Although the Positive and Negative Syndrome Scale has demonstrated sensitivity as a measure of treatment change in studies using traditional univariate statistical approaches, its sensitivity to detecting network-level changes in dynamic relationships among symptoms has yet to be demonstrated using more sophisticated multivariate analyses. In the current study, we examined the sensitivity of the Positive and Negative Syndrome Scale to detecting antipsychotic treatment effects as revealed through network analysis. Design. Participants included 1,049 individuals diagnosed with psychotic disorders from the Phase I portion of the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) study. Of these participants, 733 were clinically determined to be treatment-responsive and 316 were found to be treatment-resistant. Item level data from the Positive and Negative Syndrome Scale were submitted to network analysis, and macroscopic, mesoscopic, and microscopic network properties were evaluated for the treatment-responsive and treatment-resistant groups at baseline and post-phase I antipsychotic treatment. Results. Network analysis indicated that treatment-responsive patients had more densely connected symptom networks after antipsychotic treatment than did treatment-responsive patients at baseline, and that symptom centralities increased following treatment. In contrast, symptom networks of treatment-resistant patients behaved more randomly before and after treatment. Conclusions. These results suggest that the Positive and Negative Syndrome Scale is sensitive to detecting treatment effects as revealed through network analysis. Its findings also provide compelling new evidence that strongly interconnected symptom networks confer an overall greater probability of treatment responsiveness in patients with psychosis, suggesting that antipsychotics achieve their effect by enhancing a number of central symptoms, which then facilitate reduction of other highly coupled symptoms in a network-like fashion.
      pubtype: Academic Journal
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        research
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      ougenre: Article
    language: English
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