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Exploring depression in Parkinson's disease: an Italian Delphi Consensus on phenomenology, diagnosis, and management.

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Title: Exploring depression in Parkinson's disease: an Italian Delphi Consensus on phenomenology, diagnosis, and management.
Authors: Stocchi, Fabrizio (AUTHOR), Angelo Antonini (AUTHOR), Barone, Paolo (AUTHOR), Bellelli, Giuseppe (AUTHOR), Fagiolini, Andrea (AUTHOR), Ferini Strambi, Luigi (AUTHOR), Sorbi, Sandro (AUTHOR), Padovani, Alessandro (AUTHOR)
Source: Neurological Sciences. Sep2023, Vol. 44 Issue 9, p3123-3131. 9p. 1 Diagram, 3 Charts.
Subjects: Parkinson's disease, Delphi method, Mental depression, Phenomenology, Anhedonia
Abstract: Background: Depression is a prodromic and a frequent non-motor symptom of Parkinson's disease, associated to reduced quality of life and poor outcomes. The diagnosis of depression in parkinsonian patients represents a challenge due to the overlapping of symptoms typical of the two conditions. Methods: A Delphi panel survey was performed to reach a consensus amongst different Italian specialists on four main topics: the neuropathological correlates of depression, main clinical aspects, diagnosis, and management of depression in Parkinson's disease. Results and conclusion: Experts have recognized that depression is an established risk factor of PD and that its anatomic substrate is related to the neuropathological abnormalities typical of the disease. Multimodal and SSRI antidepressant have been confirmed as a valid therapeutic option in the treatment of depression in PD. Tolerability, safety profile, and potential efficacy on broad spectrum of symptoms of depression including cognitive symptoms and anhedonia should be considered when selecting an antidepressant and the choice should be tailored on the patients' characteristics. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Exploring depression in Parkinson's disease: an Italian Delphi Consensus on phenomenology, diagnosis, and management.
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  Data: <searchLink fieldCode="AR" term="%22Stocchi%2C+Fabrizio%22">Stocchi, Fabrizio</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Angelo+Antonini%22">Angelo Antonini</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barone%2C+Paolo%22">Barone, Paolo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bellelli%2C+Giuseppe%22">Bellelli, Giuseppe</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fagiolini%2C+Andrea%22">Fagiolini, Andrea</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ferini+Strambi%2C+Luigi%22">Ferini Strambi, Luigi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sorbi%2C+Sandro%22">Sorbi, Sandro</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Padovani%2C+Alessandro%22">Padovani, Alessandro</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Sep2023, Vol. 44 Issue 9, p3123-3131. 9p. 1 Diagram, 3 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Parkinson's+disease%22">Parkinson's disease</searchLink><br /><searchLink fieldCode="DE" term="%22Delphi+method%22">Delphi method</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Phenomenology%22">Phenomenology</searchLink><br /><searchLink fieldCode="DE" term="%22Anhedonia%22">Anhedonia</searchLink>
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  Data: Background: Depression is a prodromic and a frequent non-motor symptom of Parkinson's disease, associated to reduced quality of life and poor outcomes. The diagnosis of depression in parkinsonian patients represents a challenge due to the overlapping of symptoms typical of the two conditions. Methods: A Delphi panel survey was performed to reach a consensus amongst different Italian specialists on four main topics: the neuropathological correlates of depression, main clinical aspects, diagnosis, and management of depression in Parkinson's disease. Results and conclusion: Experts have recognized that depression is an established risk factor of PD and that its anatomic substrate is related to the neuropathological abnormalities typical of the disease. Multimodal and SSRI antidepressant have been confirmed as a valid therapeutic option in the treatment of depression in PD. Tolerability, safety profile, and potential efficacy on broad spectrum of symptoms of depression including cognitive symptoms and anhedonia should be considered when selecting an antidepressant and the choice should be tailored on the patients' characteristics. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Sep2023
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