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@ARTICLE{Hahn:890579,
author = {Hahn, Lisa and Eickhoff, Simon B. and Habel, Ute and
Stickeler, Elmar and Schnakenberg, Patricia and Goecke,
Tamme W. and Stickel, Susanne and Franz, Matthias and
Dukart, Juergen and Chechko, Natalia},
title = {{E}arly identification of postpartum depression using
demographic, clinical, and digital phenotyping},
journal = {Translational Psychiatry},
volume = {11},
number = {1},
issn = {2158-3188},
address = {London},
publisher = {Nature Publishing Group},
reportid = {FZJ-2021-01045},
pages = {121},
year = {2021},
note = {410314797/Deutsche Forschungsgemeinschaft (German Research
Foundation) 410314797/Deutsche Forschungsgemeinschaft
(German Research Foundation) 410314797/Deutsche
Forschungsgemeinschaft (German Research Foundation)
410314797/Deutsche Forschungsgemeinschaft (German Research
Foundation) 785907/EC | Horizon 2020 Framework Programme (EU
Framework Programme for Research and Innovation H2020) The
study was supported by the DFG (Grant number: 410314797). NC
wassupported by the Clinical Scientist Program (rotation
program) of the medicalfaculty RWTH, Aachen (2015–2017).
S.B.E. was supported by the EuropeanUnion’s Horizon 2020
Research and Innovation Programme under GrantAgreement No.
785907 (HBP SGA2). Open Access funding enabled andorganized
by Projekt DEAL.},
abstract = {Postpartum depression (PPD) and adjustment disorder (AD)
affect up to $25\%$ of women after childbirth. However,
there are no accurate screening tools for either disorder to
identify at-risk mothers and enable them to benefit from
early intervention. Combinations of anamnestic, clinical,
and remote assessments were evaluated for an early and
accurate identification of PPD and AD. Two cohorts of
mothers giving birth were included in the study (N = 308 and
N = 193). At baseline, participants underwent a detailed
sociodemographic-anamnestic and clinical interview. Remote
assessments were collected over 12 weeks comprising mood and
stress levels as well as depression and attachment scores.
At 12 weeks postpartum, an experienced clinician assigned
the participants to three distinct groups: women with PPD,
women with AD, and healthy controls (HC). Combinations of
these assessments were assessed for an early an accurate
detection of PPD and AD in the first cohort and, after
pre-registration, validated in a prospective second cohort.
Combinations of postnatal depression, attachment (for AD)
and mood scores at week 3 achieved balanced accuracies of 93
and $79\%$ for differentiation of PPD and AD from HC in the
validation cohort and balanced accuracies of 87 and $91\%$
in the first cohort. Differentiation between AD and PPD,
with a balanced accuracy of $73\%$ was possible at week 6
based on mood levels only with a balanced accuracy of $73\%$
in the validation cohort and a balanced accuracy of $76\%$
in the first cohort. Combinations of in clinic and remote
self-assessments allow for early and accurate detection of
PPD and AD as early as three weeks postpartum, enabling
early intervention to the benefit of both mothers and
children.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {525 - Decoding Brain Organization and Dysfunction
(POF4-525) / HBP SGA2 - Human Brain Project Specific Grant
Agreement 2 (785907)},
pid = {G:(DE-HGF)POF4-525 / G:(EU-Grant)785907},
typ = {PUB:(DE-HGF)16},
pubmed = {33574229},
UT = {WOS:000620084800001},
doi = {10.1038/s41398-021-01245-6},
url = {https://juser.fz-juelich.de/record/890579},
}