A register-based approach to identifying treatment-resistant depression-Comparison with clinical definitions.

Bibliographic Details
Title: A register-based approach to identifying treatment-resistant depression-Comparison with clinical definitions.
Authors: David Hägg, Philip Brenner, Johan Reutfors, Gang Li, Allitia DiBernardo, Robert Bodén, Lena Brandt
Source: PLoS ONE, Vol 15, Iss 7, p e0236434 (2020)
Publisher Information: Public Library of Science (PLoS), 2020.
Publication Year: 2020
Collection: LCC:Medicine
LCC:Science
Subject Terms: Medicine, Science
More Details: BackgroundSeveral definitions of treatment-resistant depression (TRD) are used for clinical research, but no verified model for use in register data exists. We aimed to compare a novel model created for use in register data-the Karolinska Institutet Model (KIM)-to the clinical definitions regarding the proportion of patients identified with TRD, their characteristics and clinical outcomes.MethodsAll patients in Sweden initiating antidepressant treatment with a diagnosis of depression in specialized healthcare 2006-2014 were identified and followed in national registers. In KIM, patients who initiated a third sequential, >28-day antidepressant treatment trial were defined as having TRD. Proportion of TRD and patient characteristics were compared with register adaptations of the European Staging Model (ESM), Massachusetts General Hospital Staging Method (MGH-s), and Maudsley Staging Model (MSM). Differences in patient characteristics were assessed with Chi-square tests and one-way ANOVAs. Hazard ratios for psychiatric hospitalization and for death from external causes were estimated by Cox proportional hazard regressions.ResultsOut of 127,108 antidepressant initiators with depression, the highest proportion of TRD was found using the MGH-s (19.0%), followed by MSM (15.3%), KIM (12.9%), and ESM (9.5%). Clinical characteristics were similar across the models. Compared with TRD patients identified by KIM, those identified by ESM had a marginally higher risk for psychiatric hospitalization (adjusted hazard ratio [aHR] 1.03, 95%CI 1.00-1.05), whereas those identified by MGH-s (aHR 0.92; 0.90-0.94) and MSM (aHR 0.95; 0.94-0.97) had a slightly reduced risk. Patients identified by MGH-s showed a reduced mortality compared with KIM (aHR 0.84; 0.72-0.98).ConclusionsThis study provides insight into the differing characteristics of patients captured by various TRD models when used for register research. Models yielding lower proportions of TRD seemed to identify patients with greater morbidity. The KIM may be useful for register based research in TRD.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1932-6203
Relation: https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0236434
Access URL: https://doaj.org/article/788d3bcdd9404e5e82ca738f32057848
Accession Number: edsdoj.788d3bcdd9404e5e82ca738f32057848
Database: Directory of Open Access Journals
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More Details
ISSN:19326203
DOI:10.1371/journal.pone.0236434
Published in:PLoS ONE
Language:English