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

↓ Direkt till sidans innehåll
↓ Direkt till sidans sekundära innehåll (sidomenyn)

Search: id:"swepub:oai:DiVA.org:uu-420623" > A register-based ap...

1 of 1
Previous record
Next record
To hitlist

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

Hagg, David (author): Karolinska Institutet

Brenner, Philip (author): Karolinska Institutet

Reutfors, Johan (author): Karolinska Institutet

Li, Gang (author): Janssen, Global Serv, Titusville, NJ USA.

DiBernardo, Allitia (author): Janssen, Global Serv, Titusville, NJ USA.

Bodén, Robert, 1973- (author): Uppsala universitet,Ekselius: Psykiatri

Brandt, Lena (author): Karolinska Inst, Ctr Pharmacoepidemiol, Karolinska Univ Hosp, Stockholm, Sweden.

show less...

Karolinska Institutet Janssen, Global Serv, Titusville, NJ USA (creator_code:org_t)

2020-07-30
2020
English.
In: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 15:7

Related links:: https://doi.org/10.1...; show more...; https://uu.diva-port... (primary) (Raw object); https://journals.plo...; https://urn.kb.se/re...; https://doi.org/10.1...; http://kipublication...; show less...

Journal article (peer-reviewed)

Abstract Subject headings

Background Several 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. Methods All 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. Results Out 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). Conclusions This 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.

Find in a library

PLOS ONE (Search for host publication in LIBRIS)

To the university's database

1 of 1
Previous record
Next record
To hitlist

Find more in SwePub

By the author/editor: Hagg, David; Brenner, Philip; Reutfors, Johan; Li, Gang; DiBernardo, Alli ...; Bodén, Robert, 1 ...; show more...; Brandt, Lena; show less...

About the subject

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Psychiatry

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Health Sciences; and Public Health Gl ...

Articles in the publication: PLOS ONE

By the university: Uppsala University; Karolinska Institutet

Search outside SwePub

Extend your search to:: Google; Google Book Search; Google Scholar

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

LIBRIS.kb.se

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

Subject headings

Publication and Content Type

Find in a library

To the university's database

Find more in SwePub

Search outside SwePub