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1.
Braz. J. Psychiatry (São Paulo, 1999, Impr.) ; 44(1): 74-80, Jan.-Feb. 2022. graf
Artículo en Inglés | LILACS-Express | LILACS | ID: biblio-1360176

RESUMEN

The notion that schizophrenia is a neuroprogressive disorder is based on clinical perception of cumulative impairments over time and is supported by neuroimaging and biomarker research. Nevertheless, increasing evidence has indicated that schizophrenia first emerges as a neurodevelopmental disorder that could follow various pathways, some of them neuroprogressive. The objective of this review is to revisit basic research on cognitive processes and neuroimaging findings in a search for candidate keys to the intricate connections between neurodevelopment and neuroprogression in schizophrenia. In the complete panorama, schizophrenia is a neurodevelopmental disorder, possibly associated with an additional burden over the course of the disease through pathologically accelerated aging, and cognitive heterogeneity may explain the different trajectories of each patient.

2.
Trends psychiatry psychother. (Impr.) ; 44: e20200132, 2022. tab, graf
Artículo en Inglés | LILACS-Express | LILACS | ID: biblio-1410275

RESUMEN

Abstract Objective To investigate associations between body mass index (BMI), white matter fractional anisotropy (FA), and C-reactive protein (CRP) in a group of individuals with bipolar disorder (BD) during euthymia and compare them with a control group of healthy subjects (CTR). Methods The sample consisted of 101 individuals (BD n = 35 and CTR n = 66). Regions of interest (ROI) were defined using a machine learning approach. For each ROI, a regression model tested the association between FA and BMI, controlling for covariates. Peripheral CRP levels were assayed, correlated with BMI, and included in a mediation analysis. Results BMI predicted the FA of the right cingulate gyrus in BD (AdjR2 = 0.312 F(3) = 5.537 p = 0.004; β = -0.340 p = 0.034), while there was no association in CTR. There was an interaction effect between BMI and BD diagnosis (F(5) = 3.5857 p = 0.012; Fchange = 0.227 AdjR2 = 0.093; β = -1.093, p = 0.048). Furthermore, there was a positive correlation between BMI and CRP in both groups (AdjR2 = 0.170 F(3) = 7.337 p < 0.001; β = 0.364 p = 0.001), but it did not act as a mediator of the effect on FA. Conclusion Higher BMI is associated with right cingulate microstructure in BD, but not in CTR, and this effect could not be explained by inflammatory mediation alone.

3.
Braz. J. Psychiatry (São Paulo, 1999, Impr.) ; 40(2): 163-168, Apr.-June 2018. tab, graf
Artículo en Inglés | LILACS | ID: biblio-959223

RESUMEN

Objective: Cardiovascular disease is the leading cause of death in patients with bipolar disorder. The aim of this study was to evaluate the factors associated with positive coronary calcium score (CCS) in individuals with bipolar disorder type 1. Methods: Patients from the Bipolar Disorder Program at Hospital de Clínicas de Porto Alegre, Brazil, underwent computed tomography scanning for calcium score measurement. Clinical and sociodemographic variables were compared between patients according to their CCS status: negative (CCS = 0) or positive (CCS > 0). Poisson regression analysis was used to examine the association of CCS with number of psychiatric hospitalizations. Results: Out of 41 patients evaluated, only 10 had a positive CCS. Individuals in the CCS-positive group were older (55.2±4.2 vs. 43.1±10.0 years; p = 0.001) and had more psychiatric hospitalizations (4.7±3.0 vs. 2.6±2.5; p = 0.04) when compared with CCS- negative subjects. The number of previous psychiatric hospitalizations correlated positively with CCS (p < 0.001). Conclusion: Age and number of psychiatric hospitalizations were significantly associated with higher CCS, which might be a potential method for diagnosis and stratification of cardiovascular disease in bipolar patients. There is a need for increased awareness of risk assessment in this population.


Asunto(s)
Humanos , Masculino , Femenino , Adulto , Persona de Mediana Edad , Trastorno Bipolar/complicaciones , Enfermedad de la Arteria Coronaria/diagnóstico por imagen , Enfermedades Cardiovasculares/etiología , Medición de Riesgo/métodos , Calcificación Vascular/diagnóstico por imagen , Escalas de Valoración Psiquiátrica , Factores de Tiempo , Enfermedad de la Arteria Coronaria/complicaciones , Enfermedades Cardiovasculares/diagnóstico por imagen , Tomografía Computarizada por Rayos X , Distribución de Poisson , Estudios Transversales , Valor Predictivo de las Pruebas , Factores de Riesgo , Análisis de Varianza , Factores de Edad , Calcificación Vascular/complicaciones , Hospitalización/estadística & datos numéricos
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