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P0226 - The predictive validity of postpartum depression predictors inventory-revised (PDPI-R). Results from the PND-RESCU study

Published online by Cambridge University Press:  16 April 2020

A. Oppo
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
M. Mauri
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
P. Rucci
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
S. Banti
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
C. Borri
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
C. Rambelli
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
D. Ramacciotti
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
M. Montagnani
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
A. Bettini
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
S. Ricciardulli
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
S. Montaresi
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
E. Fui
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
L. Cecconi
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy
G.B. Cassano
Affiliation:
Department of Psychiatry Neurobiology Pharmacology and Biotecnology, University of Pisa, Psychiatric Clinic, Pisa, Italy

Abstract

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Background and Aims:

After the development of the Postpartum Depression Predictors Inventory-Revised (PDPI-R) only one study was conducted to determine the predictive validity of the Prenatal and Full Versions of the instrument. However this study did not succeed in identifying the cut-off for the Full Version.

We aimed to determine the predictive validity of the PDPI-R as a screening instrument for post-partum depression (PPD).

Methods:

Women completed the PDPI-R at the 3rd month of pregnancy and at the 1st month after childbirth. PPD symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS) at multiple time points during pregnancy and during the post-partum. When the EPDS score was ≥13, a Structured Clinical Interview for DSM-IV Disorders was conducted to determine whether criteria for depression were met.

Results:

The Prenatal and Full Versions of the PDPI-R predicted accurately 80.3% and 88.2% of PPD. The Prenatal PDPI-R yielded a sensitivity of .72 and a specificity of .74 at a cut-off score of 4.5, while the Full version yielded a sensitivity of .83 and a specificity Conclusions

The PDPI-R is a useful and valid screener for PPD.

Type
Poster Session II: Depression
Copyright
Copyright © European Psychiatric Association 2008
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