Boris Birmaher1, John A Merranko2, Mary Kay Gill2, Danella Hafeman2, Tina Goldstein2, Benjamin Goldstein3, Heather Hower4, Michael Strober5, David Axelson6, Neal Ryan2, Shirley Yen4, Rasim Diler2, Satish Iyengar7, Michael W Kattan8, Lauren Weinstock4, Martin Keller4. 1. Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Electronic address: birmaherb@upmc.edu. 2. Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. 3. Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine, Ontario, Canada. 4. Warren Alpert Medical School of Brown University; Butler Hospital, Providence, Rhode Island. 5. David Geffen School of Medicine, University of California at Los Angeles. 6. Nationwide Children's Hospital and The Ohio State College of Medicine, Columbus. 7. University of Pittsburgh, PA. 8. Cleveland Clinic Foundation, Ohio.
Abstract
OBJECTIVE: With each recurrence the prognosis of bipolar disorder (BD) worsens, indicating the need to identify the factors associated with increased recurrence risk. The course of BD is heterogenous and although risk factors for recurrence for the group as a whole have been reported in the literature, identification of risk factors for a specific individual are crucial for developing personalized treatments. METHOD: A total of 363 recovered BD youths/young adults from the Course and Outcome of Bipolar Youth (COBY) study were included. Participants were evaluated on average every 7 months for a median of 12.5 years and interviewed with standard instruments. Risk factors of recurrence from the literature were used to build a risk calculator (RC) to predict recurrence risk at different time intervals. RESULTS: Approximately 80% of participants had at least one syndromal recurrence and 60% had ≥2 recurrences, particularly depressions. The 6-month and 1-, 2-, 3-, and 5-year RC showed an accuracy between 72% and 82% for predicting any mood recurrences, and up to 80% for depression and 89% for hypo/mania (sensitivity/specificity both 0.74). The most influential recurrence risk factors were shorter recovery lengths, younger age at assessment, earlier mood onset, and more severe prior depression. Although important, other factors associated with recurrence risk, such as interepisodic subsyndromal mood symptoms and comorbidities, did not influence the RC score beyond factors noted above. CONCLUSION: The RC provides a useful tool for predicting an individual's recurrence risk of depression and/or hypo/mania in BD youths and for developing personalized interventions and informing research. Replication studies are warranted.
OBJECTIVE: With each recurrence the prognosis of bipolar disorder (BD) worsens, indicating the need to identify the factors associated with increased recurrence risk. The course of BD is heterogenous and although risk factors for recurrence for the group as a whole have been reported in the literature, identification of risk factors for a specific individual are crucial for developing personalized treatments. METHOD: A total of 363 recovered BD youths/young adults from the Course and Outcome of Bipolar Youth (COBY) study were included. Participants were evaluated on average every 7 months for a median of 12.5 years and interviewed with standard instruments. Risk factors of recurrence from the literature were used to build a risk calculator (RC) to predict recurrence risk at different time intervals. RESULTS: Approximately 80% of participants had at least one syndromal recurrence and 60% had ≥2 recurrences, particularly depressions. The 6-month and 1-, 2-, 3-, and 5-year RC showed an accuracy between 72% and 82% for predicting any mood recurrences, and up to 80% for depression and 89% for hypo/mania (sensitivity/specificity both 0.74). The most influential recurrence risk factors were shorter recovery lengths, younger age at assessment, earlier mood onset, and more severe prior depression. Although important, other factors associated with recurrence risk, such as interepisodic subsyndromal mood symptoms and comorbidities, did not influence the RC score beyond factors noted above. CONCLUSION: The RC provides a useful tool for predicting an individual's recurrence risk of depression and/or hypo/mania in BD youths and for developing personalized interventions and informing research. Replication studies are warranted.
Authors: Tina R Goldstein; Megan Krantz; John Merranko; Matthew Garcia; Loren Sobel; Carlos Rodriguez; Antoine Douaihy; David Axelson; Boris Birmaher Journal: J Child Adolesc Psychopharmacol Date: 2016-07-15 Impact factor: 2.576
Authors: Donna P Ankerst; Josef Hoefler; Sebastian Bock; Phyllis J Goodman; Andrew Vickers; Javier Hernandez; Lori J Sokoll; Martin G Sanda; John T Wei; Robin J Leach; Ian M Thompson Journal: Urology Date: 2014-06 Impact factor: 2.649
Authors: Nadine M Melhem; Giovanna Porta; Maria A Oquendo; Jamie Zelazny; John G Keilp; Satish Iyengar; Ainsley Burke; Boris Birmaher; Barbara Stanley; J John Mann; David A Brent Journal: JAMA Psychiatry Date: 2019-06-01 Impact factor: 21.596
Authors: Lewis L Judd; Hagop S Akiskal; Pamela J Schettler; Jean Endicott; Jack Maser; David A Solomon; Andrew C Leon; John A Rice; Martin B Keller Journal: Arch Gen Psychiatry Date: 2002-06
Authors: Boris Birmaher; David Axelson; Benjamin Goldstein; Michael Strober; Mary Kay Gill; Jeffrey Hunt; Patricia Houck; Wonho Ha; Satish Iyengar; Eunice Kim; Shirley Yen; Heather Hower; Christianne Esposito-Smythers; Tina Goldstein; Neal Ryan; Martin Keller Journal: Am J Psychiatry Date: 2009-05-15 Impact factor: 18.112
Authors: Adam Mourad Chekroud; Ryan Joseph Zotti; Zarrar Shehzad; Ralitza Gueorguieva; Marcia K Johnson; Madhukar H Trivedi; Tyrone D Cannon; John Harrison Krystal; Philip Robert Corlett Journal: Lancet Psychiatry Date: 2016-01-21 Impact factor: 27.083
Authors: Danella M Hafeman; John Merranko; Tina R Goldstein; David Axelson; Benjamin I Goldstein; Kelly Monk; Mary Beth Hickey; Dara Sakolsky; Rasim Diler; Satish Iyengar; David A Brent; David J Kupfer; Michael W Kattan; Boris Birmaher Journal: JAMA Psychiatry Date: 2017-08-01 Impact factor: 25.911
Authors: Danella M Hafeman; Tina R Goldstein; Michael Strober; John Merranko; Mary Kay Gill; Fangzi Liao; Rasim S Diler; Neal D Ryan; Benjamin I Goldstein; David A Axelson; Martin B Keller; Jeffrey I Hunt; Heather Hower; Lauren M Weinstock; Shirley Yen; Boris Birmaher Journal: Bipolar Disord Date: 2021-01-19 Impact factor: 5.345
Authors: Ralph Kupka; Anne Duffy; Jan Scott; Jorge Almeida; Vicent Balanzá-Martínez; Boris Birmaher; David J Bond; Elisa Brietzke; Ines Chendo; Benicio N Frey; Iria Grande; Danella Hafeman; Tomas Hajek; Manon Hillegers; Marcia Kauer-Sant'Anna; Rodrigo B Mansur; Afra van der Markt; Robert Post; Mauricio Tohen; Hailey Tremain; Gustavo Vazquez; Eduard Vieta; Lakshmi N Yatham; Michael Berk; Martin Alda; Flávio Kapczinski Journal: Bipolar Disord Date: 2021-07-23 Impact factor: 5.345