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Your search keyword '"Brietzke, Elisa"' showing total 15 results
Start Over Author "Brietzke, Elisa" Journal bipolar disorders
15 results on '"Brietzke, Elisa"'

1. Smartphone‐based interventions in bipolar disorder: Systematic review and meta‐analyses of efficacy. A position paper from the International Society for Bipolar Disorders (ISBD) Big Data Task Force

Author

Anmella, Gerard, primary, Faurholt‐Jepsen, Maria, additional, Hidalgo‐Mazzei, Diego, additional, Radua, Joaquim, additional, Passos, Ives C., additional, Kapczinski, Flavio, additional, Minuzzi, Luciano, additional, Alda, Martin, additional, Meier, Sandra, additional, Hajek, Tomas, additional, Ballester, Pedro, additional, Birmaher, Boris, additional, Hafeman, Danella, additional, Goldstein, Tina, additional, Brietzke, Elisa, additional, Duffy, Anne, additional, Haarman, Benno, additional, López‐Jaramillo, Carlos, additional, Yatham, Lakshmi N., additional, Lam, Raymond W., additional, Isometsa, Erkki, additional, Mansur, Rodrigo, additional, McIntyre, Roger S., additional, Mwangi, Benson, additional, Vieta, Eduard, additional, and Kessing, Lars Vedel, additional

Published
2022
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4. Consensus on nomenclature for clinical staging models in bipolar disorder: A narrative review from the International Society for Bipolar Disorders (ISBD) Staging Task Force

Author

Kupka, Ralph, primary, Duffy, Anne, additional, Scott, Jan, additional, Almeida, Jorge, additional, Balanzá‐Martínez, Vicent, additional, Birmaher, Boris, additional, Bond, David J., additional, Brietzke, Elisa, additional, Chendo, Ines, additional, Frey, Benicio N., additional, Grande, Iria, additional, Hafeman, Danella, additional, Hajek, Tomas, additional, Hillegers, Manon, additional, Kauer‐Sant’Anna, Marcia, additional, Mansur, Rodrigo B., additional, van der Markt, Afra, additional, Post, Robert, additional, Tohen, Mauricio, additional, Tremain, Hailey, additional, Vazquez, Gustavo, additional, Vieta, Eduard, additional, Yatham, Lakshmi N., additional, Berk, Michael, additional, Alda, Martin, additional, and Kapczinski, Flávio, additional

Published
2021
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9. Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force

Author

Passos, Ives C., primary, Ballester, Pedro L., additional, Barros, Rodrigo C., additional, Librenza‐Garcia, Diego, additional, Mwangi, Benson, additional, Birmaher, Boris, additional, Brietzke, Elisa, additional, Hajek, Tomas, additional, Lopez Jaramillo, Carlos, additional, Mansur, Rodrigo B., additional, Alda, Martin, additional, Haarman, Bartholomeus C. M., additional, Isometsa, Erkki, additional, Lam, Raymond W., additional, McIntyre, Roger S., additional, Minuzzi, Luciano, additional, Kessing, Lars V., additional, Yatham, Lakshmi N., additional, Duffy, Anne, additional, and Kapczinski, Flavio, additional

Published
2019
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10. Allostatic load, emotional hyper‐reactivity, and functioning in individuals with bipolar disorder.

Author

Dargél, Aroldo A., Volant, Stevenn, Brietzke, Elisa, Etain, Bruno, Olié, Emilie, Azorin, Jean‐Michel, Gard, Sebastian, Bellivier, Frank, Bougerol, Thierry, Kahn, Jean‐Pierre, Roux, Paul, Aubin, Valerie, Courtet, Philippe, Leboyer, Marion, and Henry, Chantal

Subjects
BIPOLAR disorder, GLYCOSYLATED hemoglobin, BIOLOGICAL systems, BIOMARKERS, BLOOD pressure, SLEEP interruptions
Abstract

Objectives: Diagnosis and management of bipolar disorder (BD) are limited by the absence of available biomarkers. Allostatic load (AL) represents the strain that stress, including the effects of acute phases and inter‐episode chronic mood instability, exerts on interconnected biological systems. This study aimed to operationalize an AL index and explore whether it could be relevant to better characterize BD patients with and without emotional hyper‐reactivity particularly those at higher risk of immune‐cardiometabolic dysregulation and functional impairment. Methods: Levels of biomarkers of chronic inflammation (hsCRP and albumin), cardiovascular (systolic/diastolic blood pressure) and metabolic functions (fasting glucose, glycosylated hemoglobin, total cholesterol, LDL, HDL, and triglycerides) were measured in 1072 adult BD outpatients. Patients were classified in two groups (with/without emotional hyper‐reactivity) assessed by the Multidimensional Assessment of Thymic States scale. An Allostatic Load Index for BD (BALLI), comprising six biomarkers, was constructed using data‐driven biomarker selection. Results: BALLI showed 81.1% accuracy with good sensitivity (81%) and specificity (81.2%) for characterizing BD patients presenting emotional hyper‐reactivity, elevated risk of inflammation (increased hsCRP, hypoalbuminemia) and cardiometabolic disturbances (hypertension, hyperglycemia, and hypertriglyceridemia). Patients classified by the BALLI as presenting emotional hyper‐reactivity had significantly lower global and cognitive functioning than those without emotional hyper‐reactivity (P <.0001). Conclusions: A multidimensional approach based on a simple AL score (eg, BALLI) and dimensions of behavior (eg, emotional hyper‐reactivity) alongside mood is clinically relevant. AL index could be a useful tool to detect multisystemic physiological dysregulations in BD patients with/without emotional hyper‐reactivity particularly those at higher risk of immune‐cardiometabolic disturbances and functional impairment. [ABSTRACT FROM AUTHOR]

Published
2020
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11. Parsing metabolic heterogeneity in mood disorders: A hypothesis‐driven cluster analysis of glucose and insulin abnormalities.

Author

Mansur, Rodrigo B., Lee, Yena, Subramaniapillai, Mehala, Cha, Danielle S., Brietzke, Elisa, and McIntyre, Roger S.

Subjects
GLUCOSE analysis, AFFECTIVE disorders, MENTAL depression, COGNITION disorders, INSULIN
Abstract

Objectives: Metabolically based distinctions for disturbances in glucose and insulin may provide meaningful insights both clinically and mechanistically. Methods: Data were derived from 352 subjects of previously completed clinical studies with a mood disorder (MD) (bipolar disorder: n = 179, major depressive disorder: n = 173) and 218 healthy controls from the Comprehensive Assessment of Long‐Term Effects of Reducing Intake of Energy. We conducted a factor analysis to replicate a priori dissociable factors informed by glucose and insulin levels and indices of insulin resistance and beta‐cell function: elevated insulin and insulin resistance ("insulin‐IR"), and increased fasting glucose and reduced insulin secretion ("glucotoxicity"). Cluster analyses were conducted, separately in men and women, to evaluate the clinical relevance of subtyping individuals with MDs using insulin‐IR and glucotoxicity (GT) factor scores. Results: Factors insulin‐IR and GT explained 92.64% and 92.09% of the variance in men and women respectively. Three clusters were replicated in men and women separately: metabolically healthy (MH), high GT, and insulin‐resistant (IR). After adjusting for age, gender, study cohort, MD diagnosis, and antipsychotics use, body mass index (BMI) and mean arterial pressure were higher in IR‐ vs GT‐ or MH‐clustered individuals; GT‐clustered individuals had more metabolic syndrome components and higher C‐reactive protein. Glucotoxic‐clustered subjects reported greater impairments in cognitive function and global functioning when compared to MH‐ or IR‐clustered subjects. Conclusions: Using simple, cost‐effective, and accessible measures, we identified stable, gender‐convergent, subgroups of individuals that significantly diverged on measures of cognitive dysfunction, self‐reported anhedonia, functional disability, BMI, and blood pressure. [ABSTRACT FROM AUTHOR]

Published
2020
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12. A pilot, open-label, 8-week study evaluating the efficacy, safety and tolerability of adjunctive minocycline for the treatment of bipolar I/II depression

Author

Soczynska, Joanna K, primary, Kennedy, Sidney H, additional, Alsuwaidan, Mohammad, additional, Mansur, Rodrigo B, additional, Li, Madeline, additional, McAndrews, Mary Pat, additional, Brietzke, Elisa, additional, Woldeyohannes, Hanna O, additional, Taylor, Valerie H, additional, and McIntyre, Roger S, additional

Published
2017
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14. Brain-derived neurotrophic factor, impaired glucose metabolism, and bipolar disorder course

Author

Mansur, Rodrigo B, primary, Santos, Camila M, additional, Rizzo, Lucas B, additional, Asevedo, Elson, additional, Cunha, Graccielle R, additional, Noto, Mariane N, additional, Pedrini, Mariana, additional, Zeni-Graiff, Maiara, additional, Cordeiro, Quirino, additional, Vinberg, Maj, additional, Kapczinski, Flavio, additional, McIntyre, Roger S, additional, and Brietzke, Elisa, additional

Published
2016
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15. Advancing biomarker research: utilizing ‘Big Data’ approaches for the characterization and prevention of bipolar disorder

Author

McIntyre, Roger S, primary, Cha, Danielle S, additional, Jerrell, Jeanette M, additional, Swardfager, Walter, additional, Kim, Rachael D, additional, Costa, Leonardo G, additional, Baskaran, Anusha, additional, Soczynska, Joanna K, additional, Woldeyohannes, Hanna O, additional, Mansur, Rodrigo B, additional, Brietzke, Elisa, additional, Powell, Alissa M, additional, Gallaugher, Ashley, additional, Kudlow, Paul, additional, Kaidanovich-Beilin, Oksana, additional, and Alsuwaidan, Mohammad, additional

Published
2013
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