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D'Agostino A, Garbazza C, Malpetti D, Azzimonti L, Mangili F, Stein HC, Del Giudice R, Cicolin A, Cirignotta F, Manconi M. Optimal risk and diagnosis assessment strategies in perinatal depression: A machine learning approach from the life-ON study cohort. Psychiatry Res 2024; 332:115687. [PMID: 38157709 DOI: 10.1016/j.psychres.2023.115687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/15/2023] [Accepted: 12/20/2023] [Indexed: 01/03/2024]
Abstract
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.
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Affiliation(s)
- Armando D'Agostino
- Department of Health Sciences, Università degli Studi di Milano, Italy; Department of Mental Health and Addiction, ASST Santi Paolo e Carlo, Milan, Italy.
| | - Corrado Garbazza
- Centre for Chronobiology, University of Basel, Basel, Switzerland; Transfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland; Sleep Medicine Unit, Neurocenter of Southern Switzerland, Lugano, Switzerland
| | - Daniele Malpetti
- Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), USI/SUPSI, Lugano, Switzerland
| | - Laura Azzimonti
- Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), USI/SUPSI, Lugano, Switzerland
| | - Francesca Mangili
- Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), USI/SUPSI, Lugano, Switzerland
| | | | - Renata Del Giudice
- Department of Mental Health and Addiction, ASST Santi Paolo e Carlo, Milan, Italy
| | - Alessandro Cicolin
- Department of Neuroscience, Sleep Medicine Center, University of Turin, Turin, Italy
| | | | - Mauro Manconi
- Sleep Medicine Unit, Neurocenter of Southern Switzerland, Lugano, Switzerland; Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland; Department of Neurology, University Hospital, Inselspital, Bern, Switzerland
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Horvath B, Kloesel B, Cross SN. Persistent Postpartum Pain - A Somatic and Psychologic Perfect Storm. J Pain Res 2024; 17:35-44. [PMID: 38192367 PMCID: PMC10773244 DOI: 10.2147/jpr.s439463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 12/28/2023] [Indexed: 01/10/2024] Open
Abstract
Persistent postpartum pain is common and has a complex etiology. It has both somatic and psychosocial provoking factors and has both functional and psychological ramifications following childbirth. Pain that limits the functional capacity of a person who has the daunting task to take care of all the demands of managing a growing newborn and infant can have debilitating consequences for several people simultaneously. We will review the incidence of persistent postpartum pain, analyze the risk factors, and discuss obstetric, anesthetic, and psychological tools for prevention and management. Based on the current knowledge, early antenatal screening and management is described as the most likely measure to identify patients at risk for persistent postpartum pain. Such antenatal management should be based on the close collaboration between obstetricians, anesthesiologists, and psychologists to tailor peripartum pain management and psychological support-based individual needs.
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Affiliation(s)
- Balazs Horvath
- Department of Anesthesiology, St. Vincent’s Medical Center, Bridgeport, CT, USA
- Department of Anesthesiology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Benjamin Kloesel
- Department of Anesthesiology, Children’s Minnesota Hospital, Minneapolis, MN, USA
| | - Sarah N Cross
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, CT, USA
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