• Title of article

    Assessment of depression in Parkinsonʹs disease: The contribution of somatic symptoms to the clinimetric performance of the Hamilton and Montgomery–Åsberg rating scales

  • Author/Authors

    Reijnders، نويسنده , , Jennifer S.A.M. and Lousberg، نويسنده , , Richel and Leentjens، نويسنده , , Albert F.G.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    5
  • From page
    561
  • To page
    565
  • Abstract
    Objective ess the influence of somatic symptoms of the Hamilton Depression Rating Scale (HAMD) and Montgomery–Åsberg Depression Rating Scale (MADRS) on the clinimetric performance of these scales in patients with Parkinsonʹs disease (PD). s l of 224 patients underwent a protocolized mental status examination, consisting of the Structured Clinical Interview for DSM-IV depressive disorder (SCID-D), as well as the HAMD and MADRS. Sensitivity, specificity, positive, and negative predictive values for a range of cut-off scores were calculated for both rating scales and for modified versions of these scales in which all somatic items were eliminated. In addition, receiver operating characteristic (ROC) curves were obtained for both the modified and unmodified scales. s ation of the somatic items of depression from the HAMD and MADRS resulted in a reduced specificity of both the HAMD and the MADRS, and an increased sensitivity of the MADRS. sion thors recommend the full version of the HAMD and MADRS if used for diagnostic purposes; for screening purposes, the abbreviated version without somatic items can be used. Additional advantages of using full rating scales, with somatic items included, are that these provide more information on the severity of depression and allow for easier comparison across studies.
  • Keywords
    depression , Hamilton Depression Rating Scale , Montgomery–?sberg Depression Rating Scale , Parkinsonיs disease
  • Journal title
    Journal of Psychosomatic Research
  • Serial Year
    2010
  • Journal title
    Journal of Psychosomatic Research
  • Record number

    1743216