Optimal risk and diagnosis assessment strategies in perinatal depression: A machine learning approach from the life-ON study cohort.

D'Agostino, Armando; Garbazza, Corrado; Malpetti, Daniele; Azzimonti, Laura; Mangili, Francesca; Stein, Hans-Christian; Del Giudice, Renata; Cicolin, Alessandro; Cirignotta, Fabio; Manconi, Mauro (2024). Optimal risk and diagnosis assessment strategies in perinatal depression: A machine learning approach from the life-ON study cohort. Psychiatry research, 332(115687), p. 115687. Elsevier 10.1016/j.psychres.2023.115687

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This study aimed to assess the concordance of various psychometric scales in detecting Perinatal Depression (PND) risk and diagnosis. A cohort of 432 women was assessed at 10-15th and 23-25th gestational weeks, 33-40 days and 180-195 days after delivery using the Edinburgh Postnatal Depression Scale (EPDS), Visual Analogue Scale (VAS), Hamilton Depression Rating Scale (HDRS), Montgomery-Åsberg Depression Rating Scale (MADRS), and Mini International Neuropsychiatric Interview (MINI). Spearman's rank correlation coefficient was used to assess agreement across instruments, and multivariable classification models were developed to predict the values of a binary scale using the other scales. Moderate agreement was shown between the EPDS and VAS and between the HDRS and MADRS throughout the perinatal period. However, agreement between the EPDS and HDRS decreased postpartum. A well-performing model for the estimation of current depression risk (EPDS > 9) was obtained with the VAS and MADRS, and a less robust one for the estimation of current major depressive episode (MDE) diagnosis (MINI) with the VAS and HDRS. When the EPDS is not feasible, the VAS may be used for rapid and comprehensive postpartum screening with reliability. However, a thorough structured interview or clinical examination remains necessary to diagnose a MDE.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Manconi, Mauro

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0165-1781

Publisher:

Elsevier

Language:

English

Submitter:

Pubmed Import

Date Deposited:

03 Jan 2024 08:59

Last Modified:

22 Jan 2024 00:16

Publisher DOI:

10.1016/j.psychres.2023.115687

PubMed ID:

38157709

Uncontrolled Keywords:

Depression risk prediction Edinburgh postnatal depression scale (EPDS) Hamilton depression rating scale (HDRS) Major depressive episode (MDE) Montgomery–Åsberg depression rating scale (MADRS) Postpartum depression Visual analog scale (VAS)

BORIS DOI:

10.48350/191078

URI:

https://boris.unibe.ch/id/eprint/191078

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