Developing and Validating an Individualized Clinical Prediction Model to Forecast Psychotic Recurrence in Acute and Transient Psychotic Disorders: Electronic Health Record Cohort Study

Stefano Damiani; Grazia Rutigliano; Teresa Fazia; Sergio Merlino; Carlo Berzuini; Luisa Bernardinelli; Pierluigi Politi; Paolo Fusar-Poli

doi:10.1093/schbul/sbab070

Developing and Validating an Individualized Clinical Prediction Model to Forecast Psychotic Recurrence in Acute and Transient Psychotic Disorders: Electronic Health Record Cohort Study

Stefano Damiani, Grazia Rutigliano, Teresa Fazia, Sergio Merlino, Carlo Berzuini, Luisa Bernardinelli, Pierluigi Politi, Paolo Fusar-Poli

Division of Population Health, Health Services Research & Primary Care (L5)

Research output: Contribution to journal › Article › peer-review

Abstract

This study presents the first clinically based prediction model internally validated to adequately predict long-term psychotic recurrence in individuals with ATPD. The model can be automatable in EHRs, supporting further external validations and refinements to improve its prognostic accuracy.

Original language	English
Pages (from-to)	1695–1705
Journal	Schizophrenia Bulletin
Volume	47
Issue number	6
Early online date	21 Oct 2021
DOIs	https://doi.org/10.1093/schbul/sbab070
Publication status	Published - 1 Nov 2021

Keywords

psychosis
schizophrenia
clinical prediction modeling
validation
individualized prediction acute and transient psychotic disorder
brief psychotic disorder

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10.1093/schbul/sbab070

Cite this

Damiani, S., Rutigliano, G., Fazia, T., Merlino, S., Berzuini, C., Bernardinelli, L., Politi, P., & Fusar-Poli, P. (2021). Developing and Validating an Individualized Clinical Prediction Model to Forecast Psychotic Recurrence in Acute and Transient Psychotic Disorders: Electronic Health Record Cohort Study. Schizophrenia Bulletin, 47(6), 1695–1705. https://doi.org/10.1093/schbul/sbab070

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abstract = "This study presents the first clinically based prediction model internally validated to adequately predict long-term psychotic recurrence in individuals with ATPD. The model can be automatable in EHRs, supporting further external validations and refinements to improve its prognostic accuracy.",

keywords = "psychosis, schizophrenia, clinical prediction modeling, validation, individualized prediction acute and transient psychotic disorder, brief psychotic disorder",

author = "Stefano Damiani and Grazia Rutigliano and Teresa Fazia and Sergio Merlino and Carlo Berzuini and Luisa Bernardinelli and Pierluigi Politi and Paolo Fusar-Poli",

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doi = "10.1093/schbul/sbab070",

language = "English",

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Damiani, S, Rutigliano, G, Fazia, T, Merlino, S, Berzuini, C, Bernardinelli, L, Politi, P & Fusar-Poli, P 2021, 'Developing and Validating an Individualized Clinical Prediction Model to Forecast Psychotic Recurrence in Acute and Transient Psychotic Disorders: Electronic Health Record Cohort Study', Schizophrenia Bulletin, vol. 47, no. 6, pp. 1695–1705. https://doi.org/10.1093/schbul/sbab070

Developing and Validating an Individualized Clinical Prediction Model to Forecast Psychotic Recurrence in Acute and Transient Psychotic Disorders: Electronic Health Record Cohort Study. / Damiani, Stefano; Rutigliano, Grazia; Fazia, Teresa et al.
In: Schizophrenia Bulletin, Vol. 47, No. 6, 01.11.2021, p. 1695–1705.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Developing and Validating an Individualized Clinical Prediction Model to Forecast Psychotic Recurrence in Acute and Transient Psychotic Disorders: Electronic Health Record Cohort Study

AU - Damiani, Stefano

AU - Rutigliano, Grazia

AU - Fazia, Teresa

AU - Merlino, Sergio

AU - Berzuini, Carlo

AU - Bernardinelli, Luisa

AU - Politi, Pierluigi

AU - Fusar-Poli, Paolo

PY - 2021/11/1

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N2 - This study presents the first clinically based prediction model internally validated to adequately predict long-term psychotic recurrence in individuals with ATPD. The model can be automatable in EHRs, supporting further external validations and refinements to improve its prognostic accuracy.

AB - This study presents the first clinically based prediction model internally validated to adequately predict long-term psychotic recurrence in individuals with ATPD. The model can be automatable in EHRs, supporting further external validations and refinements to improve its prognostic accuracy.

KW - psychosis

KW - schizophrenia

KW - clinical prediction modeling

KW - validation

KW - individualized prediction acute and transient psychotic disorder

KW - brief psychotic disorder

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DO - 10.1093/schbul/sbab070

M3 - Article

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JF - Schizophrenia Bulletin

IS - 6

ER -

Developing and Validating an Individualized Clinical Prediction Model to Forecast Psychotic Recurrence in Acute and Transient Psychotic Disorders: Electronic Health Record Cohort Study

Abstract

Keywords

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