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Diagnostic and Prognostic Significance of Brief Limited Intermittent Psychotic Symptoms (BLIPS) in Individuals at Ultra High Risk.
Fusar-Poli, Paolo; Cappucciati, Marco; De Micheli, Andrea; Rutigliano, Grazia; Bonoldi, Ilaria; Tognin, Stefania; Ramella-Cravaro, Valentina; Castagnini, Augusto; McGuire, Philip.
Afiliação
  • Fusar-Poli P; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; paolo.fusar-poli@kcl.ac.uk.
  • Cappucciati M; OASIS Service, South London and the Maudsley NHS Foundation Trust, London, UK.
  • De Micheli A; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Rutigliano G; Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.
  • Bonoldi I; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Tognin S; Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.
  • Ramella-Cravaro V; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Castagnini A; Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
  • McGuire P; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Schizophr Bull ; 43(1): 48-56, 2017 01.
Article em En | MEDLINE | ID: mdl-28053130
ABSTRACT

BACKGROUND:

Brief Limited Intermittent Psychotic Symptoms (BLIPS) are key inclusion criteria to define individuals at ultra high risk for psychosis (UHR). Their diagnostic and prognostic significance is unclear.

OBJECTIVES:

To address the baseline diagnostic relationship between BLIPS and the ICD-10 categories and examine the longitudinal prognostic impact of clinical and sociodemographic factors.

METHODS:

Prospective long-term study in UHR individuals meeting BLIPS criteria. Sociodemographic and clinical data, including ICD-10 diagnoses, were automatically drawn from electronic health records and analyzed using Kaplan-Meier failure function (1-survival), Cox regression models, bootstrapping methods, and Receiver Operating Characteristics (ROC) curve.

RESULTS:

Eighty BLIPS were included. At baseline, two-thirds (68%) of BLIPS met the diagnostic criteria for ICD-10 Acute and Transient Psychotic Disorder (ATPD), most featuring schizophrenic symptoms. The remaining individuals met ICD-10 diagnostic criteria for unspecified nonorganic psychosis (15%), mental and behavioral disorders due to use of cannabinoids (11%), and mania with psychotic symptoms (6%). The overall 5-year risk of psychosis was 0.54. Recurrent episodes of BLIPS were relatively rare (11%) but associated with a higher risk of psychosis (hazard ratio [HR] 3.98) than mono-episodic BLIPS at the univariate analysis. Multivariate analysis revealed that seriously disorganizing or dangerous features increased greatly (HR = 4.39) the risk of psychosis (0.89 at 5-year). Bootstrapping confirmed the robustness of this predictor (area under the ROC = 0.74).

CONCLUSIONS:

BLIPS are most likely to fulfill the ATPD criteria, mainly acute schizophrenic subtypes. About half of BLIPS cases develops a psychotic disorder during follow-up. Recurrent BLIPS are relatively rare but tend to develop into psychosis. BLIPS with seriously disorganizing or dangerous features have an extreme high risk of psychosis.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Esquizofrenia / Medição de Risco Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos Psicóticos / Esquizofrenia / Medição de Risco Idioma: En Ano de publicação: 2017 Tipo de documento: Article