Trajectories of somatic drug utilization patterns in Major Depressive Disorder: A Study protocol for a Danish nationwide register study using Latent Class Analysis

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Trajectories of somatic drug utilization patterns in Major Depressive Disorder : A Study protocol for a Danish nationwide register study using Latent Class Analysis . / Overgaard Nielsen, Anne Marije Christina ; Jensen, Kristoffer Jarlov; Jacobsen, Ramune; Jeberg, Pernille Herold; Almarsdóttir, Anna Birna; Wium-Andersen, Marie Kim; Osler, Merete; Petersen, Janne.

I: F1000Research, Bind 10, 1039, 2021.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Overgaard Nielsen, AMC, Jensen, KJ, Jacobsen, R, Jeberg, PH, Almarsdóttir, AB, Wium-Andersen, MK, Osler, M & Petersen, J 2021, 'Trajectories of somatic drug utilization patterns in Major Depressive Disorder: A Study protocol for a Danish nationwide register study using Latent Class Analysis ', F1000Research, bind 10, 1039. https://doi.org/10.12688/f1000research.73451.1

APA

Overgaard Nielsen, A. M. C., Jensen, K. J., Jacobsen, R., Jeberg, P. H., Almarsdóttir, A. B., Wium-Andersen, M. K., Osler, M., & Petersen, J. (2021). Trajectories of somatic drug utilization patterns in Major Depressive Disorder: A Study protocol for a Danish nationwide register study using Latent Class Analysis . F1000Research, 10, [1039]. https://doi.org/10.12688/f1000research.73451.1

Vancouver

Overgaard Nielsen AMC, Jensen KJ, Jacobsen R, Jeberg PH, Almarsdóttir AB, Wium-Andersen MK o.a. Trajectories of somatic drug utilization patterns in Major Depressive Disorder: A Study protocol for a Danish nationwide register study using Latent Class Analysis . F1000Research. 2021;10. 1039. https://doi.org/10.12688/f1000research.73451.1

Author

Overgaard Nielsen, Anne Marije Christina ; Jensen, Kristoffer Jarlov ; Jacobsen, Ramune ; Jeberg, Pernille Herold ; Almarsdóttir, Anna Birna ; Wium-Andersen, Marie Kim ; Osler, Merete ; Petersen, Janne. / Trajectories of somatic drug utilization patterns in Major Depressive Disorder : A Study protocol for a Danish nationwide register study using Latent Class Analysis . I: F1000Research. 2021 ; Bind 10.

Bibtex

@article{1b8400b45f954687bba60631536c3c51,
title = "Trajectories of somatic drug utilization patterns in Major Depressive Disorder: A Study protocol for a Danish nationwide register study using Latent Class Analysis ",
abstract = "Background: Major Depressive disorder (MDD) is a heterogeneous, multi-etiological disorder that is associated with chronic medical conditions and a high somatic treatment burden. A better understanding of the somatic diseases and treatment burden in MDD can be provided through a mapping of the somatic drug utilization patterns over time. The objective of this study is therefore to characterize the somatic drug profiles and their transitions over time (i.e. trajectories) among MDD patients. Methods: This descriptive study will be a nationwide register-based study including all Danish patients with an incident MDD diagnosis between 2011 and 2015. Using Latent Class Analysis, we will identify homogenous MDD patient subgroups according to somatic drug utilization (i.e. drug profiles). The development in somatic drug profiles will be depicted in four different time intervals from three years prior to the MDD diagnosis to three years after the diagnosis. Patients will be assigned to the latent class (drug profile) to which they have the highest probability of belonging using modal assignment. The treatment trajectories will be performed by cross tabulating these assignments. Discussion: Profiles and trajectories of somatic drug use will provide a new perspective on patterns of somatic drug burden in MDD patients. Moreover, identifying homogenous subgroups of MDD patients regarding somatic drug use can contribute to a deeper understanding of MDD etiology. In the future, this knowledge could help optimizing MDD treatment by studying if different antidepressants will show different efficacy and safety depending on the profiles and trajectories of somatic diseases.",
author = "{Overgaard Nielsen}, {Anne Marije Christina} and Jensen, {Kristoffer Jarlov} and Ramune Jacobsen and Jeberg, {Pernille Herold} and Almarsd{\'o}ttir, {Anna Birna} and Wium-Andersen, {Marie Kim} and Merete Osler and Janne Petersen",
year = "2021",
doi = "10.12688/f1000research.73451.1",
language = "English",
volume = "10",
journal = "F1000Research",
issn = "2046-1402",
publisher = "F1000Research",

}

RIS

TY - JOUR

T1 - Trajectories of somatic drug utilization patterns in Major Depressive Disorder

T2 - A Study protocol for a Danish nationwide register study using Latent Class Analysis

AU - Overgaard Nielsen, Anne Marije Christina

AU - Jensen, Kristoffer Jarlov

AU - Jacobsen, Ramune

AU - Jeberg, Pernille Herold

AU - Almarsdóttir, Anna Birna

AU - Wium-Andersen, Marie Kim

AU - Osler, Merete

AU - Petersen, Janne

PY - 2021

Y1 - 2021

N2 - Background: Major Depressive disorder (MDD) is a heterogeneous, multi-etiological disorder that is associated with chronic medical conditions and a high somatic treatment burden. A better understanding of the somatic diseases and treatment burden in MDD can be provided through a mapping of the somatic drug utilization patterns over time. The objective of this study is therefore to characterize the somatic drug profiles and their transitions over time (i.e. trajectories) among MDD patients. Methods: This descriptive study will be a nationwide register-based study including all Danish patients with an incident MDD diagnosis between 2011 and 2015. Using Latent Class Analysis, we will identify homogenous MDD patient subgroups according to somatic drug utilization (i.e. drug profiles). The development in somatic drug profiles will be depicted in four different time intervals from three years prior to the MDD diagnosis to three years after the diagnosis. Patients will be assigned to the latent class (drug profile) to which they have the highest probability of belonging using modal assignment. The treatment trajectories will be performed by cross tabulating these assignments. Discussion: Profiles and trajectories of somatic drug use will provide a new perspective on patterns of somatic drug burden in MDD patients. Moreover, identifying homogenous subgroups of MDD patients regarding somatic drug use can contribute to a deeper understanding of MDD etiology. In the future, this knowledge could help optimizing MDD treatment by studying if different antidepressants will show different efficacy and safety depending on the profiles and trajectories of somatic diseases.

AB - Background: Major Depressive disorder (MDD) is a heterogeneous, multi-etiological disorder that is associated with chronic medical conditions and a high somatic treatment burden. A better understanding of the somatic diseases and treatment burden in MDD can be provided through a mapping of the somatic drug utilization patterns over time. The objective of this study is therefore to characterize the somatic drug profiles and their transitions over time (i.e. trajectories) among MDD patients. Methods: This descriptive study will be a nationwide register-based study including all Danish patients with an incident MDD diagnosis between 2011 and 2015. Using Latent Class Analysis, we will identify homogenous MDD patient subgroups according to somatic drug utilization (i.e. drug profiles). The development in somatic drug profiles will be depicted in four different time intervals from three years prior to the MDD diagnosis to three years after the diagnosis. Patients will be assigned to the latent class (drug profile) to which they have the highest probability of belonging using modal assignment. The treatment trajectories will be performed by cross tabulating these assignments. Discussion: Profiles and trajectories of somatic drug use will provide a new perspective on patterns of somatic drug burden in MDD patients. Moreover, identifying homogenous subgroups of MDD patients regarding somatic drug use can contribute to a deeper understanding of MDD etiology. In the future, this knowledge could help optimizing MDD treatment by studying if different antidepressants will show different efficacy and safety depending on the profiles and trajectories of somatic diseases.

U2 - 10.12688/f1000research.73451.1

DO - 10.12688/f1000research.73451.1

M3 - Journal article

VL - 10

JO - F1000Research

JF - F1000Research

SN - 2046-1402

M1 - 1039

ER -

ID: 281987573