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Research Article| Volume 20, ISSUE 5, P489-505, May 1985

Internight variability of REM latency in major depression: Implications for the use of REM latency as a biological correlate

  • Marc Ansseau
    Affiliations
    From Western Psychiatric Institute and Clinic, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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  • David J. Kupfer
    Correspondence
    Address reprint requests to Dr. David J. Kupfer, Western Psychiatric Institute and Clinic, Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213.
    Affiliations
    From Western Psychiatric Institute and Clinic, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
    Search for articles by this author
  • Charles F. Reynolds III
    Affiliations
    From Western Psychiatric Institute and Clinic, Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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      Abstract

      The internight variability in REM latency in 92 drug-free inpatients with major depressive illness was recorded for 4 consecutive nights and subsequently assessed. Individual coefficients of variation in REM latency [CV = (standard deviation of mean REM latency for 4 recording nights/4-night mean REM latency) × 100] ranged from 5.1 to 121.7, with a mean of 37.0 (Math Eq) and a median of 27.4 CV was positively correlated with both age (p < 0.05) and age at onset of depressive illness (p < 0.01). Male patients showed more variability in REM latency than female patients (p < 0.05); likewise, the subgroups of patients who either were incapacitated or had bipolar II illness showed greater variability in REM latency in comparison with the remainder of the sample (p < 0.05). When the entire patient sample was stratified by CV into three equal subgroups, the subgroup of patients defined by the highest CV presented the longest sleep latency (p < 0.05) and the shortest REM latency (p < 0.0001). No other clinical or polysomnographic correlates of REM latency variability were noted nor was REM latency variability related to severity of illness, other subtypes of illness, or clinical response to antidepressant therapy.
      In selecting REM latency data for assessment of diagnostic sensitivity, the use of the shortest REM latency from at least 3 consecutive nights yielded a higher sensitivity (74%–81%) than did the use of any one individually specified night (50%–56%) or different internight means (49%–52%). The same conclusion applied when patient age was taken into account. These results have implications for standardizing the use of REM latency as a biological correlate in major depression.
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