Prediction of Acute-Phase Treatment Outcomes by Adding a Single-Item Measure of Activity Impairment to Symptom Measurement: Development and Validation of an Interactive Calculator from the STAR*D and CO-MED Trials.

dc.contributor.author

Jha, Manish K

dc.contributor.author

South, Charles

dc.contributor.author

Trivedi, Jay

dc.contributor.author

Minhajuddin, Abu

dc.contributor.author

Rush, A John

dc.contributor.author

Trivedi, Madhukar H

dc.date.accessioned

2022-04-13T23:44:38Z

dc.date.available

2022-04-13T23:44:38Z

dc.date.issued

2019-05

dc.date.updated

2022-04-13T23:44:35Z

dc.description.abstract

Background

Day-to-day functioning is impaired in major depressive disorder. Yet there are no guidelines to systematically assess these functional changes. This report evaluates prognostic utility of changes in activity impairment to inform clinical decision-making at an individual level.

Methods

Mixed model analyses tested changes in activity impairment (sixth item of Work and Activity Impairment scale, rated 0-10) at mid-point (week 6) and end of step 1 (weeks 12-14) in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial (n = 2697) after controlling for depression severity [Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR)]. Interactive calculators for end of step 1 remission (QIDS-SR ≤5) and no meaningful benefit (<30% QIDS-SR reduction from baseline) were developed for participants with complete data (n = 1476) and independently replicated in the Combining Medications to Enhance Depression Outcomes trial (n = 399).

Results

Activity impairment improved independently with acute-phase treatment in STAR*D (F = 7.27; df = 2,2625; P < .001). Baseline to mid-point activity impairment change significantly predicted remission (P < .001, model area under the curve = 0.823) and no meaningful benefit (P < .001, area under the curve = 0.821) in the STAR*D trial. Adding activity impairment variables to depression severity measures correctly reclassified 28.4% and 15.8% remitters and nonremitters (net reclassification improvement analysis, P < .001), and 11.4% and 16.8% of those with no meaningful benefit and meaningful benefit (net reclassification improvement analysis, P < .001). The STAR*D trial model estimates accurately predicted remission (area under the curve = 0.80) and no meaningful benefit (area under the curve = 0.82) in the Combining Medications to Enhance Depression Outcomes trial and was used to develop an interactive calculator.

Conclusion

A single-item self-report measure of activity impairment changes independently with antidepressant treatment. Baseline to week 6 changes in activity impairment and depression severity can be combined to predict acute-phase remission and no meaningful benefit at an individual level.
dc.identifier

5432305

dc.identifier.issn

1461-1457

dc.identifier.issn

1469-5111

dc.identifier.uri

https://hdl.handle.net/10161/24813

dc.language

eng

dc.publisher

Oxford University Press (OUP)

dc.relation.ispartof

The international journal of neuropsychopharmacology

dc.relation.isversionof

10.1093/ijnp/pyz011

dc.subject

Humans

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Antidepressive Agents

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Diagnosis, Computer-Assisted

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Prognosis

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Activities of Daily Living

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Remission Induction

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Severity of Illness Index

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Depressive Disorder, Major

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Psychiatric Status Rating Scales

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Internet

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Adult

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Female

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Male

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Self Report

dc.title

Prediction of Acute-Phase Treatment Outcomes by Adding a Single-Item Measure of Activity Impairment to Symptom Measurement: Development and Validation of an Interactive Calculator from the STAR*D and CO-MED Trials.

dc.type

Journal article

duke.contributor.orcid

Rush, A John|0000-0003-2004-2382

pubs.begin-page

339

pubs.end-page

348

pubs.issue

5

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.publication-status

Published

pubs.volume

22

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