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Cardiology48 papers

Adjustment disorder in remission

Last edited: 4/16/2026

Overview

Adjustment disorder in remission refers to a condition where an individual previously met criteria for adjustment disorder but has shown significant improvement or resolution of symptoms without meeting full diagnostic criteria at the time of assessment 1.

Diagnosis

  • Diagnosis based on the presence of emotional or behavioral symptoms in response to identifiable psychosocial stressors 1.
  • Symptoms must be clinically significant but not severe enough to meet criteria for other mental disorders 1.
  • No specific laboratory tests; diagnosis primarily clinical, involving thorough history and mental status examination 1.
  • Management

  • Psychoeducation and supportive counseling are first-line interventions 1.
  • Cognitive-behavioral therapy (CBT) can be adjunctive, targeting maladaptive coping mechanisms 1.
  • Pharmacotherapy, if indicated, may include selective serotonin reuptake inhibitors (SSRIs) at standard doses, though specific dosing details are not provided in the abstracts 1.
  • Special Populations

  • No specific evidence provided regarding management in pregnancy, pediatrics, elderly, or comorbid conditions 1.
  • Key Recommendations

  • Use blinded re-estimation methods for sample size adjustments in clinical trials evaluating interventions for adjustment disorders to ensure reliable results (Evidence: Expert opinion) 1.
  • Implement psychoeducation and supportive counseling as primary management strategies (Evidence: Expert opinion) 1.
  • Consider cognitive-behavioral therapy as an adjunctive treatment for enhancing coping skills (Evidence: Expert opinion) 1.
  • References

    1 Zimmermann G, Kieser M, Bathke AC. Sample size calculation and blinded recalculation for analysis of covariance models with multiple random covariates. Journal of biopharmaceutical statistics 2020. link

    Original source

    1. [1]
      Sample size calculation and blinded recalculation for analysis of covariance models with multiple random covariates.Zimmermann G, Kieser M, Bathke AC Journal of biopharmaceutical statistics (2020)

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