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Association Between Sleep Quality and Cognitive Symptoms in Patients with Major Depressive Disorder
Published on: April 26, 2024
Domain- and item-level symptom thresholds for severe cognitive impairment in major depressive disorder
Kuan-I Liu1, Wei-Chen Lin2, Ju-Wei Hsu3
1Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.
Background:
Cognitive impairment is a core feature of major depressive disorder (MDD), but its relationship with overall depressive severity is heterogeneous. Because identical Montgomery-Åsberg Depression Rating Scale (MADRS) total scores may reflect different symptom profiles, we hypothesized that MADRS subscale- and item-level severity would provide cognitive-risk information not fully captured by total severity. We examined MADRS total, subscale, and item-level thresholds associated with severe cognitive impairment and explored domain-specific associations.
Methods:
In this cross-sectional analysis of 294 patients with MDD from a longitudinal cohort study in Taiwan, we assessed associations between MADRS severity indices and severe cognitive impairment (global cognitive composite z-score below -2 SD relative to 246 healthy controls). Distribution-based groupings and regression models adjusted for age, sex, and education were used to identify thresholds. Exploratory analyses examined continuous cognitive-domain z-scores.
Results:
Contrary to the stronger version of our hypothesis, MADRS total score was also meaningfully associated with severe cognitive impairment. All four subscales and 9 of 10 individual items were significant. Adjusted prevalence rose from 2 to 3% in the lowest-severity groups to 17-22% in the highest-severity groups across subscales, and most item thresholds converged at score ≥ 3. Domain-specific associations were most apparent for working memory, inhibition, and processing speed.
Conclusions:
MADRS total, subscale, and item-level information may help identify patients with MDD who warrant cognitive assessment. Symptom-level thresholds should be interpreted as complementary risk characterization alongside total-score severity and require prospective validation.
Insights
Depression severity, assessed by the Montgomery-Åsberg Depression Rating Scale (MADRS) at the item level, can identify major depressive disorder (MDD) patients at risk for cognitive impairment. This symptom-level analysis complements overall scores for better risk assessment.
Area of Science:
- Neuroscience
- Psychiatry
- Clinical Psychology
Background:
- Cognitive impairment is a key feature of major depressive disorder (MDD), but its link to overall depression severity is inconsistent.
- The Montgomery-Åsberg Depression Rating Scale (MADRS) total score may not fully capture individual symptom profiles, impacting cognitive risk assessment.
- This study investigated whether MADRS subscale and item-level severity could provide additional information on cognitive impairment in MDD.
Purpose of the Study:
- To determine if MADRS subscale and item-level severity predict severe cognitive impairment in patients with MDD.
- To identify specific MADRS thresholds associated with severe cognitive impairment.
- To explore domain-specific cognitive associations with MADRS symptom profiles.
Main Methods:
- A cross-sectional analysis of 294 MDD patients from a longitudinal cohort in Taiwan.
- MADRS total, subscale, and item-level scores were assessed against severe cognitive impairment (global cognitive composite z-score < -2 SD).
- Regression models adjusted for age, sex, and education identified thresholds; exploratory analyses examined continuous cognitive domain z-scores.
Main Results:
- MADRS total score was significantly associated with severe cognitive impairment.
- All four MADRS subscales and 9 of 10 individual items were significant predictors.
- Prevalence of severe cognitive impairment increased from 2-3% to 17-22% with higher MADRS subscale scores; thresholds often converged at score ≥ 3. Working memory, inhibition, and processing speed showed the clearest domain-specific associations.
Conclusions:
- MADRS total, subscale, and item-level data can help identify MDD patients needing cognitive assessment.
- Symptom-level thresholds offer complementary risk characterization beyond total scores.
- Prospective validation of these symptom-level thresholds is required.
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