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Goldstein TR, Merranko J, Hafeman D, Gill MK, Liao F, Sewall C, Hower H, Weinstock L, Yen S, Goldstein B, Keller M, Strober M, Ryan N, Birmaher B. A risk calculator to predict suicide attempts among individuals with early-onset bipolar disorder. Bipolar Disord 2022; 24:749-757. [PMID: 36002150 DOI: 10.1111/bdi.13250] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVES To build a one-year risk calculator (RC) to predict individualized risk for suicide attempt in early-onset bipolar disorder. METHODS Youth numbering 394 with bipolar disorder who completed ≥2 follow-up assessments (median follow-up length = 13.1 years) in the longitudinal Course and Outcome of Bipolar Youth (COBY) study were included. Suicide attempt over follow-up was assessed via the A-LIFE Self-Injurious/Suicidal Behavior scale. Predictors from the literature on suicidal behavior in bipolar disorder that are readily assessed in clinical practice were selected and trichotomized as appropriate (presence past 6 months/lifetime history only/no lifetime history). The RC was trained via boosted multinomial classification trees; predictions were calibrated via Platt scaling. Half of the sample was used to train, and the other half to independently test the RC. RESULTS There were 249 suicide attempts among 106 individuals. Ten predictors accounted for >90% of the cross-validated relative influence in the model (AUC = 0.82; in order of relative influence): (1) age of mood disorder onset; (2) non-suicidal self-injurious behavior (trichotomized); (3) current age; (4) psychosis (trichotomized); (5) socioeconomic status; (6) most severe depressive symptoms in past 6 months (trichotomized none/subthreshold/threshold); (7) history of suicide attempt (trichotomized); (8) family history of suicidal behavior; (9) substance use disorder (trichotomized); (10) lifetime history of physical/sexual abuse. For all trichotomized variables, presence in the past 6 months reliably predicted higher risk than lifetime history. CONCLUSIONS This RC holds promise as a clinical and research tool for prospective identification of individualized high-risk periods for suicide attempt in early-onset bipolar disorder.
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Affiliation(s)
- Tina R Goldstein
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - John Merranko
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Danella Hafeman
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Fangzi Liao
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Craig Sewall
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Heather Hower
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Lauren Weinstock
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Shirley Yen
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
- Massachusetts Mental Health Center and the Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | | | - Martin Keller
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Michael Strober
- Department of Psychiatry, University of California, Los Angeles, California, USA
| | - Neal Ryan
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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Anmella G, Faurholt‐Jepsen M, Hidalgo‐Mazzei D, Radua J, Passos IC, Kapczinski F, Minuzzi L, Alda M, Meier S, Hajek T, Ballester P, Birmaher B, Hafeman D, Goldstein T, Brietzke E, Duffy A, Haarman B, López‐Jaramillo C, Yatham LN, Lam RW, Isometsa E, Mansur R, McIntyre RS, Mwangi B, Vieta E, Kessing LV. 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. Bipolar Disord 2022; 24:580-614. [PMID: 35839276 PMCID: PMC9804696 DOI: 10.1111/bdi.13243] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND The clinical effects of smartphone-based interventions for bipolar disorder (BD) have yet to be established. OBJECTIVES To examine the efficacy of smartphone-based interventions in BD and how the included studies reported user-engagement indicators. METHODS We conducted a systematic search on January 24, 2022, in PubMed, Scopus, Embase, APA PsycINFO, and Web of Science. We used random-effects meta-analysis to calculate the standardized difference (Hedges' g) in pre-post change scores between smartphone intervention and control conditions. The study was pre-registered with PROSPERO (CRD42021226668). RESULTS The literature search identified 6034 studies. Thirteen articles fulfilled the selection criteria. We included seven RCTs and performed meta-analyses comparing the pre-post change in depressive and (hypo)manic symptom severity, functioning, quality of life, and perceived stress between smartphone interventions and control conditions. There was significant heterogeneity among studies and no meta-analysis reached statistical significance. Results were also inconclusive regarding affective relapses and psychiatric readmissions. All studies reported positive user-engagement indicators. CONCLUSION We did not find evidence to support that smartphone interventions may reduce the severity of depressive or manic symptoms in BD. The high heterogeneity of studies supports the need for expert consensus to establish ideally how studies should be designed and the use of more sensitive outcomes, such as affective relapses and psychiatric hospitalizations, as well as the quantification of mood instability. The ISBD Big Data Task Force provides preliminary recommendations to reduce the heterogeneity and achieve more valid evidence in the field.
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Affiliation(s)
- Gerard Anmella
- Digital Innovation Group, Bipolar and Depressive Disorders Unit, Institute of NeuroscienceHospital Clinic, University of Barcelona, IDIBAPS, CIBERSAMBarcelonaCataloniaSpain
| | - Maria Faurholt‐Jepsen
- Copenhagen Affective Disorder research Center (CADIC)Psychiatric Center CopenhagenCopenhagenDenmark
| | - Diego Hidalgo‐Mazzei
- Digital Innovation Group, Bipolar and Depressive Disorders Unit, Institute of NeuroscienceHospital Clinic, University of Barcelona, IDIBAPS, CIBERSAMBarcelonaCataloniaSpain
| | - Joaquim Radua
- Imaging of Mood‐ and Anxiety‐Related Disorders (IMARD) groupIDIBAPS, CIBERSAMBarcelonaSpain,Early Psychosis: Interventions and Clinical‐detection (EPIC) lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK,Centre for Psychiatric Research and Education, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Ives C. Passos
- Laboratory of Molecular Psychiatry and Bipolar Disorder Program, Programa de Pós‐Graduação em Psiquiatria e Ciências do Comportamento, Centro de Pesquisa Experimental do Hospital de Clínicas de Porto AlegreUniversidade Federal do Rio Grande do SulPorto AlegreBrazil
| | - Flavio Kapczinski
- Department of Psychiatry and Behavioural NeurosciencesMcMaster UniversityHamiltonONCanada
| | - Luciano Minuzzi
- Department of Psychiatry and Behavioural NeurosciencesMcMaster UniversityHamiltonONCanada
| | - Martin Alda
- Department of PsychiatryDalhousie UniversityHalifaxNSCanada
| | - Sandra Meier
- Department of PsychiatryDalhousie UniversityHalifaxNSCanada
| | - Tomas Hajek
- Department of PsychiatryDalhousie UniversityHalifaxNSCanada,National Institute of Mental HealthKlecanyCzech Republic
| | - Pedro Ballester
- Neuroscience Graduate ProgramMcMaster UniversityHamiltonCanada
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Institute and ClinicUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Danella Hafeman
- Department of Psychiatry, Western Psychiatric Institute and ClinicUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Tina Goldstein
- Department of Psychiatry, Western Psychiatric Institute and ClinicUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Elisa Brietzke
- Department of PsychiatryQueen's UniversityKingstonONCanada
| | - Anne Duffy
- Department of PsychiatryQueen's UniversityKingstonONCanada
| | - Benno Haarman
- Department of PsychiatryUniversity Medical Center Groningen, University of GroningenGroningenThe Netherlands
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry, Department of Psychiatry, Faculty of MedicineUniversity of AntioquiaMedellínColombia,Mood Disorders ProgramHospital Universitario San Vicente FundaciónMedellínColombia
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverBCCanada
| | - Raymond W. Lam
- Department of PsychiatryUniversity of British ColumbiaVancouverBCCanada
| | - Erkki Isometsa
- Department of PsychiatryUniversity of Helsinki and Helsinki University Central HospitalHelsinkiFinland
| | - Rodrigo Mansur
- Mood Disorders Psychopharmacology Unit (MDPU)University Health Network, University of TorontoTorontoONCanada
| | | | - Benson Mwangi
- Department of Psychiatry and Behavioral Sciences, UT Center of Excellence on Mood Disorders, McGovern Medical SchoolThe University of Texas Health Science Center at HoustonHoustonTXUSA
| | - Eduard Vieta
- Digital Innovation Group, Bipolar and Depressive Disorders Unit, Institute of NeuroscienceHospital Clinic, University of Barcelona, IDIBAPS, CIBERSAMBarcelonaCataloniaSpain
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder research Center (CADIC)Psychiatric Center CopenhagenCopenhagenDenmark,Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
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Birmaher B, Merranko J, Hafeman D, Zwicker A, Goldstein B, Axelson D, Goldstein T, Sakolsky D, Diler R, Uher R. The role of bipolar polygenic risk score in the familial transmission of bipolar disorder-An updated analysis. Bipolar Disord 2022; 24:437-440. [PMID: 35319812 DOI: 10.1111/bdi.13205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Boris Birmaher
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - John Merranko
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Danella Hafeman
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Alyson Zwicker
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.,Dalhousie Medicine New Brunswick, Dalhousie University, Saint John, New Brunswick, Canada
| | - Benjamin Goldstein
- Center for Addiction and Mental Health, University of Toronto Faculty of Medicine, Ontario, Canada
| | - David Axelson
- Nationwide Children's Hospital and The Ohio State College of Medicine, Columbus, Ohio, USA
| | - Tina Goldstein
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Dara Sakolsky
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Rasim Diler
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Nova Scotia, Canada
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Diler RS, Merranko JA, Hafeman D, Goldstein TR, Goldstein BI, Hower H, Gill MK, Axelson DA, Ryan N, Strober M, Keller MB, Yen S, Hunt JI, Weinstock LM, Iyengar S, Birmaher BB. Higher socioeconomic status and less parental psychopathology improve prognosis in youths with bipolar disorder. J Affect Disord 2022; 302:185-193. [PMID: 35033593 PMCID: PMC8857063 DOI: 10.1016/j.jad.2022.01.058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 12/19/2021] [Accepted: 01/11/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND To identify prospectively ascertained individual and family factors that are associated with improvement in Bipolar Disorder (BD) among youths who initially presented with poor course. METHODS 82 youths with BD with persistent poor mood symptomatology ("predominantly ill course") were compared to 70 youths with BD who at intake had poor course, but showed improvement during the follow-up ("ill with improving course"), (ages 12.3 ± 3.3, vs. 11.7 ± 3.3 years old, at intake). Improvement was measured by the percentage of time euthymic during a mean follow-up of 12.8 years. Youths and parents were interviewed to assess psychopathology, functioning, treatment, and familial functioning and psychopathology. RESULTS Compared to the ill group, since intake, the improving group showed significantly lower subthreshold depression and hypo/mania, Attention Deficit Hyperactivity Disorder, and Disruptive Behavior Disorders. Parental Socioeconomic Status (SES) remained unchanged over time in the ill group, but progressively increased in the improving group. Importantly, the change in SES predated the improvement in the mood trajectory. The most influential variables that predicted improvement were higher SES, and absence of parental BD and Substance Use Disorder (SUD). Parental SUD also negatively affected the parental SES, which was directly associated with worse mood course. LIMITATIONS Predominantly self-reported White samples may limit generalizability; other factors potentially associated with outcome (e.g., treatment adherence), were not ascertained. CONCLUSIONS In addition to treating mood/comorbid psychopathology in symptomatic BD youths, to improve their prognosis, it is crucial to address their parent's BD and SUD and promote parental education/employment.
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Affiliation(s)
- Rasim S. Diler
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA,Corresponding author: Rasim S. Diler, MD, UPMC Western Psychiatric Hospital, University of Pittsburgh, Pittsburgh, PA 15213,
| | - John A. Merranko
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Danella Hafeman
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Tina R. Goldstein
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Benjamin I. Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine, 2075 Bayview Ave., FG-53, Toronto, ON M4N-3M5, Canada
| | - Heather Hower
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI, 02912, USA,Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Providence, RI, 02903, USA,Department of Psychiatry, University of California San Diego, 4510 Executive Drive, Suite 315, San Diego, CA, 92121, USA
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - David A. Axelson
- Department of Psychiatry, Nationwide Children’s Hospital, Ohio State College of Medicine, 700 Children’s Drive, Columbus, OH, 43205, USA
| | - Neal Ryan
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Michael Strober
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Martin B. Keller
- Department of Psychiatry, University of California San Diego, 4510 Executive Drive, Suite 315, San Diego, CA, 92121, USA,Department of Psychiatry, University of Miami, 1120 NW 14 St., Miami, FL, 33136, USA
| | - Shirley Yen
- Departments of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA
| | - Jeffrey I. Hunt
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Providence, RI, 02903, USA,Department of Psychiatry, Bradley Hospital, 1011 Veterans Memorial Parkway, East Providence, RI, 02915, USA
| | - Lauren M. Weinstock
- Department of Psychiatry, University of California San Diego, 4510 Executive Drive, Suite 315, San Diego, CA, 92121, USA
| | - Satish Iyengar
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Boris B. Birmaher
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
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Andreu-Pascual M, Merranko J, Gill MK, Levenson JC, Hafeman D, Hower H, Yen S, Strober M, Goldstein BI, Diler R, Ryan ND, Weinstock LM, Keller MB, Axelson D, Birmaher B, Goldstein TR. Risk factors preceding new onset abuse among youth with bipolar disorder: A longitudinal prospective analysis. J Affect Disord 2022; 300:296-304. [PMID: 34990625 PMCID: PMC10601969 DOI: 10.1016/j.jad.2022.01.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 11/01/2021] [Accepted: 01/01/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Childhood abuse negatively impacts the course of Bipolar Disorder (BD). Yet, no study has examined risk factors associated with prospectively evaluated physical/sexual abuse, specifically, those preceding first abuse among BD youth. We investigate past/intake/follow-up factors preceding first physical/sexual abuse among BD youth. METHODS Childhood-onset BD participants (n = 279 youth, mean age at intake = 12, mean length of follow-up = 12 years) enrolled in the Course and Outcome of Bipolar Youth (COBY) study. Demographic, clinical and family history variables were assessed every 7 months on average using Longitudinal Interval Follow-up Evaluation and Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS-PL). Abuse was evaluated at intake using the K-SADS-PL, over follow-up with a Traumatic Events Screen. Family psychopathology was assessed using Family History Screen/Structured Clinical Interview for Diagnostic Statistical Manual-IV. RESULTS Fifteen-percent of youth reported new-onset abuse during follow-up (62% physical, 26% sexual; 12% both). Intake predictors included more severe depressive symptoms (HR = 1.29), low socioeconomic-status (SES) in families with substance abuse (HR = 0.84) (physical abuse), and female sex (HR = 2.41) (sexual abuse). Follow-up predictors preceding physical abuse included: older age (HR = 1.42), disruptive disorders (HR = 1.39), and the interaction between low SES and family substance abuse (HR = 0.86). For sexual abuse, female sex (HR = 4.33) and a non-biologically related father presence in the household (HR = 2.76). Good relationships with friends (prospectively evaluated) protected against physical/sexual abuse (HR = 0.72/0.70, respectively). LIMITATIONS Prospective data was gathered longitudinally but assessed retrospectively at every follow-up; perpetrator information and abuse severity were not available. CONCLUSIONS Identifying factors temporally preceding new onset physical/sexual abuse may hold promise for identifying high-risk youth with BD.
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Affiliation(s)
- Maria Andreu-Pascual
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA; Child and Adolescent Psychiatry and Psychology Department. Hospital Sant Joan de Déu Barcelona, Spain. Passeig Sant Joan de Déu, 2, 08950 Esplugues de Llobregat, Spain.
| | - John Merranko
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Jessica C Levenson
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Danella Hafeman
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Heather Hower
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI 02912, USA; Department of Health Services, Policy, and Practice, Brown University School of Public Health, 121 South Main Street, Providence, RI 02903, USA; Department of Psychiatry, School of Medicine, University of California at San Diego, 4510 Executive Drive, Suite 315, San Diego, CA 92121, USA
| | - Shirley Yen
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI 02912, USA; Massachusetts Mental Health Center and the Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
| | - Michael Strober
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California at Los Angeles, 760 Westwood Plaza, Mail Code 175919, Los Angeles, CA 90095, USA
| | - Benjamin I Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine, 2075 Bayview Ave., FG-53, Toronto, ON M4N-3M5, Canada
| | - Rasim Diler
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Neal D Ryan
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Lauren M Weinstock
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI 02912, USA; Butler Hospital, 700 Butler Drive, Providence, RI 02906, USA
| | - Martin B Keller
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI 02912, USA; Butler Hospital, 700 Butler Drive, Providence, RI 02906, USA
| | - David Axelson
- Department of Psychiatry, Nationwide Children's Hospital and The Ohio State College of Medicine, 1670 Upham Dr., Columbus, OH 43210, USA
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Tina R Goldstein
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, 3811 O'Hara St., Pittsburgh, PA 15213, USA
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Birmaher B, Hafeman D, Merranko J, Zwicker A, Goldstein B, Goldstein T, Axelson D, Monk K, Hickey MB, Sakolsky D, Iyengar S, Diler R, Nimgaonkar V, Uher R. Role of Polygenic Risk Score in the Familial Transmission of Bipolar Disorder in Youth. JAMA Psychiatry 2022; 79:160-168. [PMID: 34935868 PMCID: PMC8696688 DOI: 10.1001/jamapsychiatry.2021.3700] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
IMPORTANCE Establishing genetic contributions to the transmission of bipolar disorder (BD) from parents to offspring may inform the risk of developing this disorder and further serve to validate BD in youth. OBJECTIVE To evaluate the specific association of BD polygenic risk scores (PRSs) on the familial transmission and validity of pediatric BD. DESIGN, SETTING, AND PARTICIPANTS This community-based case-control longitudinal study (Pittsburgh Biological Offspring Study) included parents with BD I/II and their offspring and parents without BD (healthy or non-BD psychopathology) and their offspring. Participants were recruited between March 2001 and May 2007, and analysis took place from December 2020 to September 2021. EXPOSURES PRSs for BD, major depressive disorder, schizophrenia, and attention-deficit/hyperactivity disorder. MAIN OUTCOMES AND MEASURES Participants were prospectively evaluated using standardized interviews blind to parental diagnosis. DNA was extracted from saliva and genotyped. PRSs were constructed based on independent large-scale genome-wide association studies. RESULTS A total of 156 parents with BD I/II and 180 parents without BD (mean [SD] age, 39.6 [7.9] years; 241 female [72%]) as well as 251 offspring of parents with BD and 158 offspring of parents without BD (mean [SD] age, 10.4 [4.7] years; 213 female [52%]) of European ancestry were analyzed. Participants were assessed a mean of 6.7 times during a mean (SD) of 13 (3.4) years of follow-up (84% retention). More offspring of parents with BD developed BD (58 [23.1%] vs 8 [5.1%]; P < .001) and depression (126 [50.2%] vs 52 [32.9%]; P < .001) compared with offspring of parents without BD. BD PRS was higher in both parents and offspring with BD than parents and offspring without BD (parents: odds ratio, 1.50; 95% CI, 1.19-1.89; P < .001; explained 4.8% of the phenotypic variance vs offspring: hazard ratio, 1.34; 95% CI, 1.03-1.7; P = .02; explained 5.0% of the phenotypic variance). BD PRS did not differ across BD subtypes. In a model combining parental and offspring BD PRS, the parental BD PRS association with offspring BD was fully mediated by offspring BD PRS (hazard ratio, 1.40; 95% CI, 1.05-1.86; P = .02). Parental BD had a stronger direct association than parental or offspring BD PRS with offspring BD risk (hazard ratio, 5.21; 95% CI, 1.86-14.62; P = .002), explaining 30% of the variance. Parental and offspring BD PRS explained 6% of the BD onset variance beyond parental diagnosis. There were no significant between-group differences in PRSs for major depressive disorder, schizophrenia, and attention-deficit/hyperactivity disorder in parents or offspring and they were not significantly associated with BD onset. CONCLUSIONS AND RELEVANCE The findings of this study add to the extant clinical validation of BD in youth. Parental BD and offspring BD PRS independently associated with the risk of BD in offspring. Although this is promising, the association of BD PRS was relatively small and cannot be used alone to determine BD risk until further developments occur.
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Affiliation(s)
- Boris Birmaher
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Danella Hafeman
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - John Merranko
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alyson Zwicker
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada,Dalhousie Medicine New Brunswick, Dalhousie University, St John, New Brunswick, Canada
| | - Benjamin Goldstein
- Center for Addiction and Mental Health, University of Toronto Faculty of Medicine, Toronto, Ontario, Canada
| | - Tina Goldstein
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - David Axelson
- Nationwide Children’s Hospital and Ohio State College of Medicine, Columbus
| | - Kelly Monk
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Mary Beth Hickey
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Dara Sakolsky
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Rasim Diler
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Nova Scotia, Canada
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7
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Fiedorowicz JG, Merranko JA, Iyengar S, Hower H, Gill MK, Yen S, Goldstein TR, Strober M, Hafeman D, Keller MB, Goldstein BI, Diler RS, Hunt JI, Birmaher BB. Validation of the youth mood recurrences risk calculator in an adult sample with bipolar disorder. J Affect Disord 2021; 295:1482-1488. [PMID: 34563392 DOI: 10.1016/j.jad.2021.09.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 08/12/2021] [Accepted: 09/12/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND The ability to predict an individual's risk of mood episode recurrence can facilitate personalized medicine in bipolar disorder (BD). We sought to externally validate, in an adult sample, a risk calculator of mood episode recurrence developed in youth/young adults with BD from the Course and Outcome of Bipolar Youth (COBY) study. METHODS Adult participants from the National Institute of Mental Health Collaborative Depression Study (CDS; N=258; mean(SD) age=35.5(12.0) years; mean follow-up=24.9 years) were utilized as a sample to validate the youth COBY risk calculator for onset of depressive, manic, or any mood episodes. RESULTS In this older validation sample, the risk calculator predicted recurrence of any episode over 1, 2, 3, or 5-year follow-up intervals, with Area Under the Curves (AUCs) approximating 0.77. The AUC for prediction of depressive episodes was about 0.81 for each of the time windows, which was higher than for manic or hypomanic episodes (AUC=0.72). While the risk calculator was well-calibrated across the range of risk scores, it systematically underestimated risk in the CDS sample by about 20%. The length of current remission was a highly significant predictor of recurrence risk in the CDS sample. LIMITATIONS Predominantly self-reported White samples may limit generalizability; the risk calculator does not assess more proximal risk (e.g., 1 month). CONCLUSIONS Risk of mood episode recurrence can be predicted with good accuracy in youth and adults with BD in remission. The risk calculators may help identify higher risk BD subgroups for treatment and research.
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Affiliation(s)
- Jess G Fiedorowicz
- The Ottawa Hospital, Ottawa Hospital Research Institute, Department of Psychiatry, School of Public Health and Epidemiology, Brain and Mind Research Institute, University of Ottawa, 75 Laurier Ave. East, Ottawa, ON K1N 6N5, Canada.
| | - John A Merranko
- Department of Psychiatry, Western Psychiatric Hospital, School of Medicine, University of Pittsburgh, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh, 230 S. Bouquet St., Pittsburgh, PA 15213, USA
| | - Heather Hower
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI 02912, USA; Department of Health Services, Policy and Practice, Brown University School of Public Health, 121 South Main Street, Providence, RI 02903, USA; Department of Psychiatry, University of California San Diego, 4510 Executive Drive, Suite 315, San Diego, CA 92121, USA
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Hospital, School of Medicine, University of Pittsburgh, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Shirley Yen
- Departments of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA
| | - Tina R Goldstein
- Department of Psychiatry, Western Psychiatric Hospital, School of Medicine, University of Pittsburgh, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Michael Strober
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Danella Hafeman
- Department of Psychiatry, Western Psychiatric Hospital, School of Medicine, University of Pittsburgh, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Martin B Keller
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI 02912, USA; Department of Psychiatry, University of Miami, 1120 NW 14th St., Miami, FL 33136, USA
| | - Benjamin I Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine, 2075 Bayview Ave., FG-53, Toronto, ON M4N 3M5, Canada
| | - Rasim S Diler
- Department of Psychiatry, Western Psychiatric Hospital, School of Medicine, University of Pittsburgh, 3811 O'Hara St., Pittsburgh, PA 15213, USA
| | - Jeffrey I Hunt
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Box G-BH, Providence, RI 02912, USA; Department of Psychiatry, Bradley Hospital, 1011 Veterans Memorial Parkway, East Providence, RI 02915, USA
| | - Boris B Birmaher
- Department of Psychiatry, Western Psychiatric Hospital, School of Medicine, University of Pittsburgh, 3811 O'Hara St., Pittsburgh, PA 15213, USA
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8
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Kupka R, Duffy A, Scott J, Almeida J, Balanzá‐Martínez V, Birmaher B, Bond DJ, Brietzke E, Chendo I, Frey BN, Grande I, Hafeman D, Hajek T, Hillegers M, Kauer‐Sant’Anna M, Mansur RB, van der Markt A, Post R, Tohen M, Tremain H, Vazquez G, Vieta E, Yatham LN, Berk M, Alda M, Kapczinski F. Consensus on nomenclature for clinical staging models in bipolar disorder: A narrative review from the International Society for Bipolar Disorders (ISBD) Staging Task Force. Bipolar Disord 2021; 23:659-678. [PMID: 34174130 PMCID: PMC9290926 DOI: 10.1111/bdi.13105] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVES Clinical staging is widely used in medicine to map disease progression, inform prognosis, and guide treatment decisions; in psychiatry, however, staging remains a hypothetical construct. To facilitate future research in bipolar disorders (BD), a well-defined nomenclature is needed, especially since diagnosis is often imprecise with blurred boundaries, and a full understanding of pathophysiology is lacking. METHODS Under the auspices of the International Society of Bipolar Disorders, a Task Force of international experts was convened to review, discuss, and integrate findings from the scientific literature relevant to the development of a consensus staging model and standardize a terminology that could be used to advance future research including staging of BD and related disorders. RESULTS Consensus opinion and areas of uncertainty or difference were identified in regard to terms referring to staging as it may apply to BD, to at-risk status and subthreshold stages, and to various clinical stages of BD as it is currently diagnosed. CONCLUSION The use of a standardized nomenclature about the clinical stages of BD will facilitate communication about research on clinical and pathological components of this heterogeneous group of disorders. The concepts presented are based on current evidence, but the template provided allows for further refinements as etiological advances come to light.
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Affiliation(s)
- Ralph Kupka
- Department of PsychiatryAmsterdam Public Mental Health Research InsituteAmsterdam UMCVrije UniversiteitAmsterdamThe Netherlands
| | - Anne Duffy
- Department of PsychiatryDivision of Student Mental HealthQueen's UniversityCote Sharp Student Wellness CentreKingstonONCanada,Department of PsychiatryUniversity of OxfordOxfordUK
| | - Jan Scott
- Institute of NeuroscienceNewcastle UniversityNewcastle upon TyneUK,Brain and Mind CentreThe University of SydneySydneyNSWAustralia
| | - Jorge Almeida
- Department of Psychiatry and Behavior SciencesDell Medical SchoolUniversity of Texas at AustinAustinTXUSA
| | - Vicent Balanzá‐Martínez
- Teaching Unit of Psychiatry and Psychological MedicineDepartment of MedicineUniversity of ValenciaCIBERSAMValenciaSpain
| | | | - David J. Bond
- Department of Psychiatry and Behavioral SciencesUniversity of Minnesota Medical SchoolMinneapolisMNUSA
| | - Elisa Brietzke
- Department of PsychiatryQueen's University School of MedicineKingstonONCanada,Centre for Neuroscience StudiesQueen’s UniversityKingstonONCanada
| | - Ines Chendo
- Psychiatry DepartmentDepartment of NeurosciencesHospital Santa MariaLisbonPortugal,Clínica Universitária de PsiquiatriaFaculty of MedicineUniversity of LisbonLisbonPortugal
| | - Benicio N. Frey
- Department of Psychiatry and Behavioural NeurosciencesMcMaster UniversityHamiltonONCanada,Mood Disorders Program and Women's Health Concerns ClinicSt. Joseph's Healthcare HamiltonHamiltonONCanada
| | - Iria Grande
- Barcelona Bipolar Disorders and Depressive UnitHospital ClinicInstitute of NeurosciencesUniversity of BarcelonaIDIBAPSCIBERSAMBarcelonaSpain
| | - Danella Hafeman
- Department of PsychiatryUniversity of Pittsburgh School of MedicinePittsburghPAUSA
| | - Tomas Hajek
- Department of PsychiatryDalhousie UniversityHalifaxNSCanada
| | - Manon Hillegers
- Department of Child and Adolescent Psychiatry/PsychologyErasmus Medical Center‐Sophia Children’s HospitalRotterdamThe Netherlands
| | - Marcia Kauer‐Sant’Anna
- Department of PsychiatryFaculty of MedicineUniversidade Federal do Rio Grande do Sul (UFRGSHospital de Clínicas de Porto Alegre (HCPAPorto AlegreBrazil
| | - Rodrigo B. Mansur
- Mood Disorders Psychopharmacology UnitUniversity Health NetworkTorontoONCanada,Department of PsychiatryUniversity of TorontoTorontoONCanada
| | - Afra van der Markt
- Department of PsychiatryAmsterdam Public Mental Health Research InsituteAmsterdam UMCVrije UniversiteitAmsterdamThe Netherlands
| | - Robert Post
- George Washington University School of MedicineWashingtonDCUSA,Bipolar Collaborative NetworkBethesdaMDUSA
| | - Mauricio Tohen
- Department of Psychiatry and Behavioral SciencesUniversity of New Mexico Health Sciences CenterAlbuquerqueNMUSA
| | - Hailey Tremain
- Centre for Mental HealthFaculty of Health Arts and DesignSwinburne UniversityMelbourneVicAustralia,OrygenThe National Centre of Excellence in Youth Mental HealthParkvilleVicAustralia
| | | | - Eduard Vieta
- Hospital ClinicInstitute of NeuroscienceUniversity of BarcelonaIDIBAPSCIBERSAMBarcelonaSpain
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverBCCanada
| | - Michael Berk
- IMPACT – the Institute for Mental and Physical Health and Clinical TranslationSchool of MedicineBarwon HealthDeakin UniversityGeelongVicAustralia,OrygenThe National Centre of Excellence in Youth Mental HealthCentre for Youth Mental HealthFlorey Institute for Neuroscience and Mental HealthDepartment of PsychiatryThe University of MelbourneMelbourneVicAustralia
| | - Martin Alda
- Department of PsychiatryMood Disorders ClinicDalhousie UniversityHalifaxNCCanada
| | - Flávio Kapczinski
- St. Joseph’s Healthcare Hamilton McMaster UniversityHamiltonONCanada,Universidade Federal do Rio Grande do SulUFRGSPorto AlegreBrazil
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9
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Birmaher B, Merranko J, Hafeman D, Goldstein BI, Diler R, Levenson JC, Monk K, Iyengar S, Hickey MB, Sakolsky D, Axelson D, Goldstein T. A Longitudinal Study of Psychiatric Disorders in Offspring of Parents With Bipolar Disorder From Preschool to Adolescence. J Am Acad Child Adolesc Psychiatry 2021; 60:1419-1429. [PMID: 33785405 PMCID: PMC8473582 DOI: 10.1016/j.jaac.2021.02.023] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 01/25/2021] [Accepted: 02/19/2021] [Indexed: 02/09/2023]
Abstract
OBJECTIVE To compare the prevalence of psychopathology, particularly bipolar disorder (BD), between preschool offspring of parents with BD and community controls. METHOD A total of 116 offspring of BD-I/II parents and 98 controls (53 parents with non-BD psychopathology and 45 healthy parents) were recruited at ages 2 to 5 years and followed on average 9.6 years (on average: 2-5: 1.6 times; after age 5: 4 times) (average ages at intake/last follow-up: 3.8/13.4, retention: 98%). Participants were evaluated with standardized instruments blinded to parental diagnoses. RESULTS After adjusting for confounders, offspring of BD parents only showed more attention-deficit/hyperactivity disorder (ADHD) during ages 2 to 5 years than the other 2 groups. After age 5, offspring of BD parents did not differ from offspring of parents with non-BD psychopathology, but they had more anxiety, ADHD, and behavior problems than offspring of healthy parents. Only offspring of BD parents developed BD-I/II: 3.4% (n = 4) and BD-not-otherwise-specified (BD-NOS): 11.2% (n = 13), with mean onset ages 11.4 and 7.4, respectively. About 70% of offspring with BD had non-BD disorders before BD. Only ADHD, diagnosed before age 6 years, and early-onset parental BD were significantly associated with BD risk. CONCLUSION Most offspring of BD parents did not develop BD, but they were at specific high risk for developing BD, particularly those with preschool ADHD and early-onset parental BD. BD symptoms were scarce during the preschool years and increased throughout the school age, mainly in the form of BD-NOS, a disorder that conveys poor prognosis and high risk to develop BD-I/II. Developing early interventions to delay or, ideally, to prevent its onset are warranted.
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Affiliation(s)
- Boris Birmaher
- Drs. Birmaher, Hafeman, Diler, Levenson, Sakolsky, Goldstein, Mr. Merranko, and Mss. Monk and Hickey are with Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania.
| | - John Merranko
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Danella Hafeman
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Benjamin I. Goldstein
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Rasim Diler
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Jessica C. Levenson
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Kelly Monk
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | | | - Mary Beth Hickey
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - Dara Sakolsky
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania
| | - David Axelson
- Nationwide Children’s Hospital and The Ohio State College of Medicine, Columbus
| | - Tina Goldstein
- Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pennsylvania.; Center for Addiction and Mental Health, University of Toronto Faculty of Medicine, Ontario, Canada
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10
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Sewall CJ, Girard JM, Merranko J, Hafeman D, Goldstein BI, Strober M, Hower H, Weinstock LM, Yen S, Ryan ND, Keller MB, Liao F, Diler RS, Gill MK, Axelson D, Birmaher B, Goldstein TR. A Bayesian multilevel analysis of the longitudinal associations between relationship quality and suicidal ideation and attempts among youth with bipolar disorder. J Child Psychol Psychiatry 2021; 62:905-915. [PMID: 33107600 PMCID: PMC8628509 DOI: 10.1111/jcpp.13343] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 09/20/2020] [Accepted: 10/07/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Youth with bipolar disorder (BD) are at high risk for suicidal thoughts and behaviors and frequently experience interpersonal impairment, which is a risk factor for suicide. Yet, no study to date has examined the longitudinal associations between relationship quality in family/peer domains and suicidal thoughts and behaviors among youth with BD. Thus, we investigated how between-person differences - reflecting the average relationship quality across time - and within-person changes, reflecting recent fluctuations in relationship quality, act as distal and/or proximal risk factors for suicidal ideation (SI) and suicide attempts. METHODS We used longitudinal data from the Course and Outcome of Bipolar Youth Study (N = 413). Relationship quality variables were decomposed into stable (i.e., average) and varying (i.e., recent) components and entered, along with major clinical covariates, into separate Bayesian multilevel models predicting SI and suicide attempt. We also examined how the relationship quality effects interacted with age and sex. RESULTS Poorer average relationship quality with parents (β = -.33, 95% Bayesian highest density interval (HDI) [-0.54, -0.11]) or friends (β = -.33, 95% HDI [-0.55, -0.11]) was longitudinally associated with increased risk of SI but not suicide attempt. Worsening recent relationship quality with parents (β = -.10, 95% HDI [-0.19, -0.03]) and, to a lesser extent, friends (β = -.06, 95% HDI [-0.15, 0.03]) was longitudinally associated with increased risk of SI, but only worsening recent relationship quality with parents was also associated with increased risk of suicide attempt (β = -.15, 95% HDI [-0.31, 0.01]). The effects of certain relationship quality variables were moderated by gender but not age. CONCLUSIONS Among youth with BD, having poorer average relationship quality with peers and/or parents represents a distal risk factor for SI but not suicide attempts. Additionally, worsening recent relationship quality with parents may be a time-sensitive indicator of increased risk for SI or suicide attempt.
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Affiliation(s)
| | | | - John Merranko
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine
| | - Danella Hafeman
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine
| | - Benjamin I. Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine
| | - Michael Strober
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California at Los Angeles
| | - Heather Hower
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University,Department of Health Services, Policy, and Practice, Brown University School of Public Health
| | - Lauren M. Weinstock
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University
| | - Shirley Yen
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University
| | - Neal D. Ryan
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine
| | - Martin B. Keller
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University
| | - Fangzi Liao
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine
| | - Rasim S. Diler
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine
| | - David Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine
| | - Tina R. Goldstein
- Department of Psychiatry, Western Psychiatric Hospital, University of Pittsburgh School of Medicine
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11
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Vaughn-Coaxum RA, Merranko J, Birmaher B, Dickstein DP, Hafeman D, Levenson JC, Liao F, Gill MK, Hower H, Goldstein BI, Strober M, Ryan ND, Diler R, Keller MB, Yen S, Weinstock L, Axelson D, Goldstein TR. Longitudinal course of depressive symptom severity among youths with bipolar disorders: Moderating influences of sustained attention and history of child maltreatment. J Affect Disord 2021; 282:261-271. [PMID: 33418377 PMCID: PMC8073228 DOI: 10.1016/j.jad.2020.12.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 12/10/2020] [Accepted: 12/21/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Pediatric bipolar disorders are often characterized by disruptions in cognitive functioning, and exposure to child maltreatment (e.g., physical and sexual abuse) is associated with a significantly poorer course of illness. Although clinical and developmental research has shown maltreatment to be robustly associated with poorer cognitive functioning, it is unclear whether maltreatment and cognitive function jointly influence the clinical course of bipolar symptoms. METHODS This secondary analysis examined moderating effects of lifetime childhood physical and sexual abuse, and cognitive disruptions (sustained attention, affective information processing), on longitudinal ratings of depression symptom severity in youths from the Course and Outcome of Bipolar Youth (COBY) study, examined from intake (M = 12.24 years) through age 22 (N = 198; 43.9% female; Mean age of bipolar onset = 8.85 years). RESULTS A significant moderating effect was detected for sustained attention and maltreatment history. In the context of lower sustained attention, maltreatment exposure was associated with higher depression symptom severity during childhood, but not late adolescence. There was no association between maltreatment and symptom severity in the context of higher sustained attention, and no association between attention and depression symptom severity for non-maltreated youths. LIMITATIONS Depression symptom ratings at each assessment were subject to retrospective recall bias despite the longitudinal design. Cognitive assessments were administered at different ages across youths. CONCLUSIONS Depressive symptoms in pediatric bipolar may be jointly moderated by impairments in attention and exposure to maltreatment. Assessment of these risks, particularly in childhood, may be beneficial for considering risk of recurrence or chronicity of depressive symptoms.
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Affiliation(s)
| | | | | | - Daniel P. Dickstein
- McLean Hospital, Harvard Medical School,Brown University, Warren Alpert Medical School
| | | | | | - Fangzi Liao
- University of Pittsburgh, School of Medicine
| | | | - Heather Hower
- Brown University, Warren Alpert Medical School,University of California at San Diego, School of Medicine
| | | | - Michael Strober
- University of California at Los Angeles, David Geffen School of Medicine
| | | | - Rasim Diler
- University of Pittsburgh, School of Medicine
| | | | - Shirley Yen
- Brown University, Warren Alpert Medical School,Harvard Medical School, Beth Israel Deaconess Medical Center and Massachusetts Mental Health Center
| | | | - David Axelson
- Ohio State University, Nationwide Children’s Hospital
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12
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Lima Santos JP, Brent D, Bertocci M, Mailliard S, Bebko G, Goldstein T, Kim T, Iyengar S, Hafeman D, Fenster-Ehrlich VC, Skeba A, Bonar L, Abdul-Waalee H, Gill M, Merranko J, Birmaher B, Phillips ML, Versace A. White Matter Correlates of Suicidality in Adults With Bipolar Disorder Who Have Been Prospectively Characterized Since Childhood. Biol Psychiatry Cogn Neurosci Neuroimaging 2021; 6:107-116. [PMID: 32919945 PMCID: PMC7796908 DOI: 10.1016/j.bpsc.2020.07.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 07/09/2020] [Accepted: 07/13/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Prevention of suicide in individuals with early-onset bipolar disorder (BD) remains a challenge. Diffusion magnetic resonance imaging studies in BD have identified neural correlates of emotional dysregulation implicated in BD and suicide. Using diffusion magnetic resonance imaging, we sought to identify neural signatures of suicide attempts in adults with childhood-onset BD who have been clinically followed for up to 19 years as part of the COBY (Course and Outcome of Bipolar Youth) study. METHODS Diffusion magnetic resonance imaging data were collected in 68 adults with BD: 20 in the suicide attempter (SA+) group and 48 in the non-suicide attempter (SA-) group. Multivariate analysis of covariance was used to identify the effect of group (SA+, SA-) on mean fractional anisotropy (indirect index of fiber collinearity) in key white matter tracts of emotional regulation. The effect of suicidal ideation and other clinical factors was further explored. False discovery rate was used to account for multiple comparison. Forty healthy control subjects were included. RESULTS Analyses revealed a main effect of group on fractional anisotropy (F5,59 = 3.0, p = .017). Specifically, the SA+ group showed lower fractional anisotropy than the SA- and healthy control groups in the middle portion of the forceps minor (FMIN) (F1,63 = 8.5, p = .010) and in the anterior (F1,63 = 7.8, p = .010) and posterior (F1,63 = 8.7, p = .006) portion of the right cingulum bundle (CB). Abnormalities in the FMIN, but not CB, were also associated with suicidal ideation (F1,64 = 10.6, p = .002) and levels of emotional distress at scan. CONCLUSIONS FMIN and CB abnormalities have been associated with emotional dysregulation in BD. Our findings suggest that the FMIN may represent a generic marker of suicidal ideation and, more broadly, emotional distress, while CB may represent a specific marker of attempted suicide.
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Affiliation(s)
- João Paulo Lima Santos
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania.
| | - David Brent
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michele Bertocci
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Sarrah Mailliard
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Genna Bebko
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Tina Goldstein
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Tae Kim
- Magnetic Resonance Research Center, Department of Radiology, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Satish Iyengar
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Danella Hafeman
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Vilde Chaya Fenster-Ehrlich
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Alexander Skeba
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Lisa Bonar
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Halimah Abdul-Waalee
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - MaryKay Gill
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - John Merranko
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Mary L Phillips
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Amelia Versace
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania; Magnetic Resonance Research Center, Department of Radiology, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, Pennsylvania
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13
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Birmaher B, Merranko JA, Gill MK, Hafeman D, Goldstein T, Goldstein B, Hower H, Strober M, Axelson D, Ryan N, Yen S, Diler R, Iyengar S, Kattan MW, Weinstock L, Keller M. Predicting Personalized Risk of Mood Recurrences in Youths and Young Adults With Bipolar Spectrum Disorder. J Am Acad Child Adolesc Psychiatry 2020; 59:1156-1164. [PMID: 31978620 PMCID: PMC7371512 DOI: 10.1016/j.jaac.2019.12.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 12/04/2019] [Accepted: 01/14/2020] [Indexed: 12/14/2022]
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.
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Affiliation(s)
- Boris Birmaher
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
| | - John A. Merranko
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Danella Hafeman
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Tina Goldstein
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Benjamin Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine, Ontario, Canada
| | - Heather Hower
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University; Butler Hospital, Providence, Rhode Island
| | - Michael Strober
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California
| | - David Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine, Columbus, Ohio
| | - Neal Ryan
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Shirley Yen
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University; Butler Hospital, Providence, Rhode Island
| | - Rasim Diler
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh, 2717 Cathedral of Learning, Pittsburgh, PA
| | | | - Lauren Weinstock
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University; Butler Hospital, Providence, Rhode Island
| | - Martin Keller
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University; Butler Hospital, Providence, Rhode Island
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Sewall CJR, Goldstein TR, Salk RH, Merranko J, Gill MK, Strober M, Keller MB, Hafeman D, Ryan ND, Yen S, Hower H, Liao F, Birmaher B. Interpersonal Relationships and Suicidal Ideation in Youth with Bipolar Disorder. Arch Suicide Res 2020; 24:236-250. [PMID: 31159677 PMCID: PMC6940551 DOI: 10.1080/13811118.2019.1616018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
This study examines how relationship quality in family and peer domains are associated with suicidal ideation (SI) in youth with bipolar disorder (BP). We assessed 404 Course and Outcome of Bipolar Youth study participants for psychiatric disorders and SI at intake and for family/peer relationships the month after intake. Multivariate logistic regression examined associations between relationships and SI, controlling for significant covariates. There were 144 youth (36%) who reported SI at intake; bivariate analyses indicated they had significantly worse family/peer relationships. Multivariate analyses showed that family/peer relationships were associated with current SI, controlling for significant covariates. Results support associations between poor relationships and SI in BP youth, regardless of current mood symptom severity. Clinicians should assess relationships when completing risk assessments with BP youth.
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Soehner AM, Bertocci MA, Levenson JC, Goldstein TR, Rooks B, Merranko J, Hafeman D, Diler R, Axelson D, Goldstein BI, Hickey MB, Monk K, Phillips ML, Birmaher B. Longitudinal Associations Between Sleep Patterns and Psychiatric Symptom Severity in High-Risk and Community Comparison Youth. J Am Acad Child Adolesc Psychiatry 2019; 58:608-617. [PMID: 30851396 PMCID: PMC6733405 DOI: 10.1016/j.jaac.2018.09.448] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 08/31/2018] [Accepted: 09/13/2018] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Sleep disturbance may be involved in symptom progression across multiple domains of psychopathology and could represent a target for treatment development in youth. Our objective was to identify sleep patterns that longitudinally change in conjunction with psychiatric symptom severity in at-risk youth. METHOD The study included 484 Pittsburgh Bipolar Offspring Study (BIOS) youth with at least 2 sleep assessments occurring between 10 and 18 years of age: 267 offspring of parents with bipolar I or II disorder and 217 community comparison offspring. Assessments occurred approximately every 2 years (mean number of assessments, 2.8 ± 0.8; mean follow-up duration, 3.8 ± 1.6 years). Offspring had a range of psychiatric diagnoses at baseline. Multivariate lasso regression was implemented to select offspring-reported sleep patterns associated with changes in five psychiatric symptom measures from baseline through last follow-up (mania, depression, mood lability, anxiety, inattention/externalizing). Analyses accounted for parent psychiatric diagnoses and offspring demographics, psychiatric diagnoses, and medications. RESULTS Follow-up duration, baseline socioeconomic status, parental history of bipolar disorder, offspring attention-deficit/hyperactivity disorder, and disruptive behavior disorder, and five sleep patterns were identified as predictors of change in all five psychiatric symptom measures. Decreasing sleep duration, later sleep timing preference, longer sleep latency, increasing nighttime awakenings, and greater sleepiness over follow-up were associated with increasing severity the five psychiatric symptom outcomes over follow-up. These 10 predictors explained 16% of the variance in longitudinal psychiatric symptom change, 33% of which was accounted for by sleep predictors. CONCLUSION A constellation of sleep features were associated with psychiatric symptom changes in youth, and may represent viable targets for future interventions.
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Affiliation(s)
| | | | | | | | | | | | | | | | - David Axelson
- Nationwide Children’s Hospital and Ohio State University, Columbus, OH
| | - Benjamin I. Goldstein
- Sunnybrook Health Sciences Centre, Toronto, Ontario, CA; University of Toronto, Ontario, CA
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16
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Mendez I, Axelson D, Castro-Fornieles J, Hafeman D, Goldstein TR, Goldstein BI, Diler R, Borras R, Merranko J, Monk K, Hickey MB, Birmaher B. Psychotic-Like Experiences in Offspring of Parents With Bipolar Disorder and Community Controls: A Longitudinal Study. J Am Acad Child Adolesc Psychiatry 2019; 58:534-543.e6. [PMID: 30768403 PMCID: PMC6487225 DOI: 10.1016/j.jaac.2018.09.440] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 09/23/2018] [Accepted: 10/30/2018] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To compare the prevalence and risk factors associated with psychotic-like experiences (PLE) in offspring of parents with bipolar disorder (BP) and offspring of community control parents. METHOD Delusional and hallucinatory subclinical psychotic experiences were evaluated at intake and longitudinally in a cohort study of 390 offspring of BP parents and 247 offspring of control parents; all offspring were between 6 and 18 years of age. The sample was followed up every 2.5 years on average for 8.3 years. Of the sample, 91.7% completed at least one follow-up. Risk factors at intake and at each assessment until the onset of PLE were analyzed using survival models. RESULTS In all, 95 offspring (14.9%) reported PLE at some point of the study, 16.9% of BP parents and 11.7% of controls, without statistically significant differences. Psychotic disorders were less frequent, with 16 (2.5%) in both groups. During follow-up, three variables remained as the most significant associated with PLE in the multivariate models: (1) presence of any psychiatric disorder (hazard ratio [HR] = 3.1; p = .01); (2) low psychosocial functioning (HR = 2.94; p < .0001); and (3) current or past history of physical or sexual abuse (HR = 1.85; p = .04). There were no effects of any subtype of BP, IQ, history of medical illnesses, exposure to medications, or perinatal complications. CONCLUSION In line with previous studies, PLE in our sample were relatively common, and were associated with higher morbidity during the follow-up. Contrary to the literature, neither family risk for bipolar nor early neurodevelopmental insults were associated with PLE.
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Birmaher B, Merranko JA, Goldstein TR, Gill MK, Goldstein BI, Hower H, Yen S, Hafeman D, Strober M, Diler RS, Axelson D, Ryan ND, Keller MB. A Risk Calculator to Predict the Individual Risk of Conversion From Subthreshold Bipolar Symptoms to Bipolar Disorder I or II in Youth. J Am Acad Child Adolesc Psychiatry 2018; 57:755-763.e4. [PMID: 30274650 PMCID: PMC6293466 DOI: 10.1016/j.jaac.2018.05.023] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 04/18/2018] [Accepted: 06/21/2018] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Youth with subthreshold mania are at increased risk of conversion to bipolar disorder (BP) I/II. Predictors for conversion have been published for the group as a whole. However, risk factors are heterogeneous, indicating the need for personalized risk assessment. METHOD One hundred forty youth with BP not otherwise specified (BP-NOS; 6-17 years old) followed through the Course and Outcome of Bipolar Youth (COBY) study with at least 1 follow-up assessment before conversion to BP-I/II were included. Youths were assessed on average every 7 months (median 11.5 years) using standard instruments. Risk predictors reported in the literature were used to build a 5-year risk calculator. Discrimination was measured using the time-dependent area under the curve after 1,000 bootstrap resamples. Calibration was evaluated by comparing observed with predicted probability of conversion. External validation was performed using an independent sample of 58 youths with BP-NOS recruited from the Pittsburgh Bipolar Offspring Study. RESULTS Seventy-five (53.6%) COBY youths with BP-NOS converted to BP-I/II, of which 57 (76.0%) converted within 5 years. Earlier-onset BP-NOS, familial hypomania/mania, and high mania, anxiety, and mood lability symptoms were important predictors of conversion. The calculator showed excellent consistency between the predicted and observed risks of conversion, good discrimination between converters and non-converters (area under the curve 0.71, CI 0.67-0.74), and a proportionally increasing rate of converters at each successive risk class. Discrimination in the external validation sample was good (area under the curve 0.75). CONCLUSION If replicated, the risk calculator would provide a useful tool to predict personalized risk of conversion from subsyndromal mania to BP-I/II and inform individualized interventions and research.
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18
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Krantz M, Goldstein T, Rooks B, Merranko J, Liao F, Gill MK, Diler R, Hafeman D, Ryan N, Goldstein B, Yen S, Hower H, Hunt J, Keller M, Strober M, Axelson D, Birmaher B. Sexual Risk Behavior Among Youth With Bipolar Disorder: Identifying Demographic and Clinical Risk Factors. J Am Acad Child Adolesc Psychiatry 2018; 57:118-124. [PMID: 29413144 PMCID: PMC5806213 DOI: 10.1016/j.jaac.2017.11.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 11/07/2017] [Accepted: 11/21/2017] [Indexed: 11/16/2022]
Abstract
OBJECTIVE This study aims to document rates of sexual activity among youth with bipolar spectrum disorder (BD) and to examine demographic and clinical factors associated with first sexual activity and sexual risk behavior during follow-up. METHOD The sample was drawn from the Course and Outcome of Bipolar Youth (COBY) study of 413 youth 7 to 17 years at baseline who met criteria for bipolar spectrum disorder according to the Schedule for Affective Disorders and Schizophrenia for School-Aged Children. Psychiatric symptoms during follow-up were assessed using the Adolescent Longitudinal Interview Follow-Up Evaluation (ALIFE). Sexual behavior and level of sexual risk (e.g., unprotected sex, multiple partners, and/or partners with known sexually transmitted infections) were assessed by trained evaluators using the ALIFE Psychosocial Functioning Scale. Analyses were conducted in relation to first sexual behavior during follow-up and then to subsequent sexual behaviors (mean 9.7 years, standard deviation 3.2). RESULTS Sexually active COBY youth (n = 292 of 413; 71%) were more likely females, using substances, and not living with both parents. Consistent with findings among healthy youth, earlier first sexual activity in the sample was significantly associated with low socioeconomic status, female sex, comorbid disruptive behavior disorder, and substance use. As with healthy youth, sexual risk behavior during follow-up was significantly associated with non-Caucasian race, low socioeconomic status, substance use, and history of sexual abuse. Of those COBY youth who were sexually active, 11% reported sexual assault or abuse, 36% reported becoming pregnant (or the significant other becoming pregnant), and 15% reported having at least 1 abortion (or the significant other having an abortion) during follow-up. Hypomanic symptoms during follow-up were temporally associated with the greatest risk for sexual risk behavior. CONCLUSION Demographic and clinical factors could help identify youth with bipolar spectrum disorder at significantly greatest risk for sexual activity and sexual risk behavior. Attending to sexual risk behaviors in this population is warranted.
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Affiliation(s)
- Megan Krantz
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Tina Goldstein
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA.
| | - Brian Rooks
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - John Merranko
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Fangzi Liao
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Mary Kay Gill
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Rasim Diler
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Danella Hafeman
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Neal Ryan
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Benjamin Goldstein
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Shirley Yen
- Alpert Medical School and Butler Hospital, Providence
| | - Heather Hower
- Alpert Medical School of Brown University, Providence, RI
| | - Jeffrey Hunt
- Alpert Medical School and Bradley Hospital, Providence
| | | | - Michael Strober
- David Geffen School of Medicine, University of California, Los Angeles
| | - David Axelson
- Nationwide Children's Hospital and The Ohio State College of Medicine, Columbus
| | - Boris Birmaher
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA
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Diler RS, Goldstein TR, Hafeman D, Rooks BT, Sakolsky D, Goldstein BI, Monk K, Hickey MB, Axelson D, Iyengar S, Birmaher B. Characteristics of depression among offspring at high and low familial risk of bipolar disorder. Bipolar Disord 2017; 19:344-352. [PMID: 28612977 PMCID: PMC5901748 DOI: 10.1111/bdi.12508] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 04/28/2017] [Indexed: 01/24/2023]
Abstract
OBJECTIVES Having a parent with bipolar disorder (BP) is a very strong risk factor for developing BP. Similarly, depression among youth is a clinical risk factor for subsequent BP. We evaluated whether mood symptomatology in depressed youth is different between those at high and low familial risk to develop BP. METHODS The most severe major depressive episode in BP offspring (N=61) and community control offspring (N=20) was evaluated using expanded depression and mania rating scales derived from the Schedule for Affective Disorders and Schizophrenia for Children Present Version. The results were adjusted for any between-group significant demographic differences and for multiple comparisons. RESULTS The severity of depressive symptoms and the percentage of offspring with severe depressive symptoms, especially atypical depressive features, were significantly higher in the depressed offspring of BP parents compared to the depressed controls (Ps <.05). The depressive symptoms were helpful to identify a high-risk group (e.g., odds ratio [OR] for hypersomnia: 22.4, 95% confidence interval [CI]: 1.3-404, P=.04). In addition, there were significantly more depressed offspring of BP parents with subsyndromal manic symptoms than controls (52.5% vs 20%, OR: 4.2, 95% CI: 1.2-14.7, P<.01). CONCLUSIONS Depressed BP offspring had more severe depression including atypical depressive symptoms, and were more likely to have subsyndromal mixed manic symptoms than depressed control offspring. Prospective studies to evaluate whether these youth are at high risk to develop BP are warranted. If replicated, the results of this study have important clinical (e.g., treatment of depression in depressed offspring of BP parents) and research implications.
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Affiliation(s)
- Rasim Somer Diler
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Tina R. Goldstein
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Danella Hafeman
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Brian Thomas Rooks
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Dara Sakolsky
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Benjamin I. Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine, 2075 Bayview Ave., FG-53, Toronto, ON, M4N-3M5, Canada
| | - Kelly Monk
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - Mary Beth Hickey
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
| | - David Axelson
- Department of Psychiatry, Nationwide Children’s Hospital and The Ohio State College of Medicine, 1670 Upham Dr., Columbus, OH, 43210, USA
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh, 2717 Cathedral of Learning, Pittsburgh, PA, 15260, USA
| | - Boris Birmaher
- Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O’Hara St., Pittsburgh, PA, 15213, USA
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20
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Angulo M, Rooks BT, Gill M, Goldstein T, Sakolsky D, Goldstein B, Monk K, Hickey MB, Diler RS, Hafeman D, Merranko J, Axelson D, Birmaher B. Psychometrics of the screen for adult anxiety related disorders (SCAARED)- A new scale for the assessment of DSM-5 anxiety disorders. Psychiatry Res 2017; 253:84-90. [PMID: 28359032 PMCID: PMC5472098 DOI: 10.1016/j.psychres.2017.02.034] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Revised: 02/13/2017] [Accepted: 02/16/2017] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To examine the psychometrics of the Screen for Adult Anxiety Related Disorders (SCAARED). METHODS The SCAARED was adapted from the Screen for Child Anxiety Related Emotional Disorders. Participants (N=336) ages 18-27 years old were evaluated using the Structured Clinical Interview for DSM-IV Disorders (SCID). The SCAARED was completed at or within two-weeks before the SCID. The psychometrics of the SCAARED were analyzed using standard statistical analyses including principal components, and Receiver Operant Curve analyses. A replication was performed in an age/sex matched independent sample (N=158). RESULTS The SCAARED showed four factors: somatic/panic/agoraphobia, generalized anxiety, separation anxiety, and social anxiety. The total and each factor scores demonstrated good internal consistency (α=0.86-0.97) and good discriminant validity between anxiety and other disorders and within anxiety disorders for generalized and social anxiety. Area Under the Curve for the total and each of the factor scores ranged between 0.72 and 0.84 (p<0.0001). These results were replicated in the independent sample. CONCLUSIONS The SCAARED showed excellent psychometric properties supporting its use to screen adults for anxiety disorders, longitudinal studies following youth into adulthood and studies comparing child and adult populations. Further replication studies in larger community and clinical samples are indicated.
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Affiliation(s)
- Melina Angulo
- Instituto Nacional de Psiquiatría Ramón de la Fuente, Ciudad de México, México
| | | | - MaryKay Gill
- Western Psychiatric Institute and Clinic and Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Tina Goldstein
- Western Psychiatric Institute and Clinic and Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Dara Sakolsky
- Western Psychiatric Institute and Clinic and Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Benjamin Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Kelly Monk
- Western Psychiatric Institute and Clinic and Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Mary Beth Hickey
- Western Psychiatric Institute and Clinic and Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Rasim S. Diler
- Western Psychiatric Institute and Clinic and Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Danella Hafeman
- Western Psychiatric Institute and Clinic and Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - John Merranko
- Western Psychiatric Institute and Clinic and Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - David Axelson
- Nationwide Children’s Hospital Research Institute and The Ohio State University College of Medicine, Columbus, Ohio, USA
| | - Boris Birmaher
- Western Psychiatric Institute and Clinic and Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
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21
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Levenson JC, Soehner A, Rooks B, Goldstein TR, Diler R, Merranko J, Axelson D, Goldstein BI, Brent DA, Hafeman D, Hickey MB, Monk K, Sakolsky D, Kupfer DJ, Birmaher B. Longitudinal sleep phenotypes among offspring of bipolar parents and community controls. J Affect Disord 2017; 215:30-36. [PMID: 28315578 PMCID: PMC5500225 DOI: 10.1016/j.jad.2017.03.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 01/27/2017] [Accepted: 03/05/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND Sleep disturbances are a prominent feature of bipolar disorder (BP). However, it remains unclear how sleep phenotypes may evolve among at-risk youth, and their relevance to BP onset. METHODS Pittsburgh Bipolar Offspring Study (BIOS) offspring (ages 10-18) and their parents completed assessments approximately every two years pertaining to current psychopathology and offspring sleep habits. A latent transition analysis (LTA) identified latent sleep groups within offspring based on their ratings of six sleep domains using the School Sleep Habits Survey. Demographic and clinical characteristics were compared between sleep groups. Logistic regression tested links between sleep group and BP onset at the subsequent assessment. RESULTS The LTA model identified latent groups of good, poor, and variable sleepers. We observed an overall trend of good sleep becoming variable, and then poor, as youth age. Offspring in the poor sleep group were more likely to have psychopathology. Adjusting for age and depression, poor sleepers had nearly twice the odds of developing BP relative to good (OR=1.99, CI=0.45-8.91) or variable (OR=2.03, CI=0.72-5.72) sleepers. LIMITATIONS Limitations include the use of proximal sleep phenotypes to predict BP onset, and a self-report measure of sleep CONCLUSIONS: We found three non-overlapping sleep phenotype groups in a large sample of offspring of bipolar probands and offspring of demographically-matched community control parents. Clinicians should consider that youth will likely experience variable and/or poor sleep as they age, and that at-risk youth with poor sleep may be at increased risk of developing MDD and BP at their next assessment.
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Affiliation(s)
- Jessica C Levenson
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Adriane Soehner
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Brian Rooks
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Tina R Goldstein
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Rasim Diler
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - John Merranko
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - David Axelson
- Nationwide Children's Hospital Research Institute and The Ohio State University College of Medicine, Columbus, OH, USA
| | - Ben I Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - David A Brent
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Danella Hafeman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mary Beth Hickey
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kelly Monk
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dara Sakolsky
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - David J Kupfer
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Boris Birmaher
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
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22
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Diler RS, Goldstein TR, Hafeman D, Merranko J, Liao F, Goldstein BI, Hower H, Gill MK, Hunt J, Yen S, Keller MB, Axelson D, Strober M, Iyengar S, Ryan ND, Birmaher B. Distinguishing Bipolar Depression from Unipolar Depression in Youth: Preliminary Findings. J Child Adolesc Psychopharmacol 2017; 27:310-319. [PMID: 28398819 PMCID: PMC5439419 DOI: 10.1089/cap.2016.0154] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
OBJECTIVES To identify mood symptoms that distinguishes bipolar disorder (BP) depression versus unipolar depression in youth during an acute depressive episode. METHODS Youth with BP (N = 30) were compared with youth with unipolar depression (N = 59) during an acute depressive episode using the depression and mania items derived from the Schedule for Affective Disorders and Schizophrenia for Children (K-SADS)-Present Version. The results were adjusted for multiple comparisons, and any significant between-group differences in demographic, nonmood comorbid disorders, and psychiatric family history. RESULTS In comparison with unipolar depressed youth, BP depressed youth had significantly higher scores in several depressive symptoms and all subsyndromal manic symptoms, with the exception of increased goal-directed activity. Among the depressive symptoms, higher ratings of nonsuicidal physical self-injurious acts and mood reactivity, and lower ratings of aches/pains, were the symptoms that best discriminated BP from unipolar depressed youth. Subsyndromal manic symptoms, particularly motor hyperactivity, distractibility, and pressured speech, were higher in BP depressed youth and discriminated BP depressed from unipolar depressed youth. CONCLUSIONS The results of this study suggest that it is possible to differentiate BP depression from unipolar depression based on depressive symptoms, and in particular subsyndromal manic symptoms. If replicated, these results have important clinical and research implications.
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Affiliation(s)
- Rasim Somer Diler
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Tina R. Goldstein
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Danella Hafeman
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - John Merranko
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Fangzi Liao
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Benjamin I. Goldstein
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto Faculty of Medicine, Toronto, Canada
| | - Heather Hower
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Jeffrey Hunt
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Shirley Yen
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Martin B. Keller
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, Rhode Island
| | - David Axelson
- Department of Psychiatry, Nationwide Children's Hospital, The Ohio State College of Medicine, Columbus, Ohio
| | - Michael Strober
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Neal D. Ryan
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Hafeman D, Bebko G, Bertocci MA, Fournier JC, Chase HW, Bonar L, Perlman SB, Travis M, Gill MK, Diwadkar VA, Sunshine JL, Holland SK, Kowatch RA, Birmaher B, Axelson D, Horwitz SM, Arnold LE, Fristad MA, Frazier TW, Youngstrom EA, Findling RL, Phillips ML. Amygdala-prefrontal cortical functional connectivity during implicit emotion processing differentiates youth with bipolar spectrum from youth with externalizing disorders. J Affect Disord 2017; 208:94-100. [PMID: 27756046 PMCID: PMC5154789 DOI: 10.1016/j.jad.2016.09.064] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Revised: 08/31/2016] [Accepted: 09/06/2016] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Both bipolar spectrum disorders (BPSD) and attention deficit hyperactivity disorder (ADHD) present with emotion-regulation deficits, but require different clinical management. We examined how the neurobiological underpinnings of emotion regulation might differentiate youth with BPSD versus ADHD (and healthy controls, HCs), specifically assessing functional connectivity (FxC) of amygdala-prefrontal circuitry during an implicit emotion processing task. METHODS We scanned a subset of the Longitudinal Assessment of Manic Symptoms (LAMS) sample, a clinically recruited cohort with elevated behavioral and emotional dysregulation, and age/sex-ratio matched HCs. Our sample consisted of 22 youth with BPSD, 30 youth with ADHD/no BPSD, and 26 HCs. We used generalized psychophysiological interaction (gPPI) to calculate group differences to emerging emotional faces vs. morphing shapes in FxC between bilateral amygdala and ventral prefrontal cortex/anterior cingulate cortex. RESULTS FxC between amygdala and left ventrolateral prefrontal cortex (VLPFC) in response to emotions vs. shapes differed by group (p=.05): while BPSD showed positive FxC (emotions>shapes), HC and ADHD showed inverse FxC (emotions<shapes). A group x emotion interaction was found in amygdala-subgenual cingulate FxC (p=.025), explained by differences in FxC in response to negative emotions. While BPSD showed positive FxC, HC showed inverse FxC; ADHD were intermediate. Amygdala-subgenual FxC was also positively associated with depressive symptoms and stimulant medication. LIMITATIONS Co-morbidity and relatively small sample size. CONCLUSIONS Youth with BPSD showed abnormally positive FxC between amygdala and regions in the ventral prefrontal cortex during emotion processing. In particular, the amygdala-VLPFC finding was specific to BPSD, and not influenced by other diagnoses or medications.
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Affiliation(s)
- Danella Hafeman
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh,Corresponding author. 3811 O’Hara St, Pittsburgh, PA 15213, Phone: 412 246 5820; fax: 412 246 5230
| | - Genna Bebko
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Michele A. Bertocci
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Jay C. Fournier
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Henry W. Chase
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Lisa Bonar
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Susan B. Perlman
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Michael Travis
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Mary Kay Gill
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | | | | | - Scott K Holland
- Cincinnati Children’s Hospital Medical Center, University of Cincinnati
| | | | - Boris Birmaher
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - David Axelson
- Child Psychiatry, New York University School of Medicine
| | | | | | | | | | | | - Robert L. Findling
- University Hospitals Case Medical Center/Case Western Reserve University,Psychiatry, Johns Hopkins University
| | - Mary L. Phillips
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh,Psychological Medicine, Cardiff University
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Axelson D, Goldstein B, Goldstein T, Monk K, Yu H, Hickey MB, Sakolsky D, Diler R, Hafeman D, Merranko J, Iyengar S, Brent D, Kupfer D, Birmaher B. Diagnostic Precursors to Bipolar Disorder in Offspring of Parents With Bipolar Disorder: A Longitudinal Study. Am J Psychiatry 2015; 172:638-46. [PMID: 25734353 PMCID: PMC4489996 DOI: 10.1176/appi.ajp.2014.14010035] [Citation(s) in RCA: 169] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE The authors sought to identify diagnostic risk factors of manic, mixed, or hypomanic episodes in the offspring of parents with bipolar disorder ("high-risk offspring"). METHOD High-risk offspring 6-18 years old (N=391) and demographically matched offspring (N=248) of community parents without bipolar disorder were assessed longitudinally with standardized diagnostic instruments by staff blind to parental diagnoses. Follow-up assessments were completed in 91% of the offspring (mean follow-up interval, 2.5 years; mean follow-up duration, 6.8 years). RESULTS Compared with community offspring, high-risk offspring had significantly higher rates of subthreshold mania or hypomania (13.3% compared with 1.2%), manic, mixed, or hypomanic episodes (9.2% compared with 0.8%), and major depressive episodes (32.0% compared with 14.9%). They also had higher rates of attention deficit hyperactivity disorder (30.7% compared with 18.1%), disruptive behavior disorders (27.4% compared with 15.3%), anxiety disorders (39.9% compared with 21.8%), and substance use disorders (19.9% compared with 10.1%), but not unipolar major depressive disorder (major depression with no bipolarity; 18.9% compared with 13.7%). Multivariate Cox regressions showed that in the high-risk offspring, subthreshold manic or hypomanic episodes (hazard ratio=2.29), major depressive episodes (hazard ratio=1.99), and disruptive behavior disorders (hazard ratio=2.12) were associated with subsequent manic, mixed, or hypomanic episodes. Only subthreshold manic or hypomanic episodes (hazard ratio=7.57) were associated when analyses were restricted to prospective data. CONCLUSIONS Subthreshold manic or hypomanic episodes were a diagnostic risk factor for the development of manic, mixed, or hypomanic episodes in the offspring of parents with bipolar disorder and should be a target for clinical assessment and treatment research. Major depressive episodes and disruptive behavior disorders are also indications for close clinical monitoring of emergent bipolarity in high-risk offspring.
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Hafeman D, Bebko G, Bertocci MA, Fournier JC, Bonar L, Perlman SB, Travis M, Gill MK, Diwadkar VA, Sunshine JL, Holland SK, Kowatch RA, Birmaher B, Axelson D, Horwitz SM, Arnold LE, Fristad MA, Frazier TW, Youngstrom EA, Findling RL, Drevets W, Phillips ML. Abnormal deactivation of the inferior frontal gyrus during implicit emotion processing in youth with bipolar disorder: attenuated by medication. J Psychiatr Res 2014; 58:129-36. [PMID: 25151338 PMCID: PMC4381734 DOI: 10.1016/j.jpsychires.2014.07.023] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Revised: 07/21/2014] [Accepted: 07/24/2014] [Indexed: 12/28/2022]
Abstract
Previous neuroimaging studies of youth with bipolar disorder (BD) have identified abnormalities in emotion regulation circuitry. Using data from the Longitudinal Assessment of Manic Symptoms Cohort (a clinical sample recruited for behavioral and emotional dysregulation), we examined the impact of BD and medication on activation in these regions. Functional neuroimaging data were obtained from 15 youth with BD who currently were unmedicated with a mood stabilizer or antipsychotic (U-BD), 19 youth with medicated BD (M-BD), a non-bipolar clinical sample with high rates of disruptive behavioral disorders (non-BD, n = 59), and 29 healthy controls (HC) while they were shown task-irrelevant morphing emotional faces and shapes. Whole brain analysis was used to identify clusters that showed differential activation to emotion vs. shapes across group. To assess pair-wise comparisons and potential confounders, mean activation data were extracted only from clusters within regions previously implicated in emotion regulation (including amygdala and ventral prefrontal regions). A cluster in the right inferior frontal gyrus (IFG) showed group differences to emotion vs. shapes (159 voxels, corrected p < .05). Within this cluster, U-BD youth showed decreased activation relative to HC (p = .007) and non-BD (p = .004) youth. M-BD also showed decreased activation in this cluster relative to HC and non-BD youth, but these differences were attenuated. Results were specific to negative emotions, and not found with happy faces. IFG findings were not explained by other medications (e.g. stimulants) or diagnoses. Compared to both HC and a non-BD sample, U-BD is associated with abnormally decreased right IFG activation to negative emotions.
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Affiliation(s)
- Danella Hafeman
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Genna Bebko
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Michele A. Bertocci
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Jay C. Fournier
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Lisa Bonar
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Susan B. Perlman
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Michael Travis
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | - Mary Kay Gill
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | | | | | - Scott K Holland
- Cincinnati Children's Hospital Medical Center, University of Cincinnati
| | | | - Boris Birmaher
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh
| | | | | | | | | | | | | | - Robert L. Findling
- University Hospitals Case Medical Center/Case Western Reserve University,Psychiatry, Johns Hopkins University
| | - Wayne Drevets
- Janssen Pharmaceuticals Research & Development, of Johnson&Johnson
| | - Mary L. Phillips
- Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh,Psychological Medicine, Cardiff University
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Hafeman D, Axelson D, Demeter C, Findling RL, Fristad MA, Kowatch RA, Youngstrom EA, Horwitz SM, Arnold LE, Frazier TW, Ryan N, Gill MK, Hauser-Harrington JC, Depew J, Rowles BM, Birmaher B. Phenomenology of bipolar disorder not otherwise specified in youth: a comparison of clinical characteristics across the spectrum of manic symptoms. Bipolar Disord 2013; 15:240-52. [PMID: 23521542 PMCID: PMC3644315 DOI: 10.1111/bdi.12054] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2012] [Accepted: 11/29/2012] [Indexed: 12/19/2022]
Abstract
OBJECTIVES Controversy surrounds the diagnostic categorization of children with episodic moods that cause impairment, but do not meet DSM-IV criteria for bipolar I (BD-I) or bipolar II (BD-II) disorder. This study aimed to characterize the degree to which these children, who meet criteria for bipolar disorder not otherwise specified (BD-NOS), are similar to those with full syndromal BD, versus those with no bipolar spectrum diagnosis (no BSD). METHODS Children aged 6-12 years were recruited from nine outpatient clinics, preferentially selected for higher scores on a 10-item screen for manic symptoms. Interviews with the children and their primary caregivers assessed a wide array of clinical variables, as well as family history. RESULTS A total of 707 children [mean ± standard deviation (SD) 9.4 ± 1.9 years old] were evaluated at baseline, and were diagnosed with BD-I (n = 71), BD-II (n = 3), BD-NOS (including cyclothymia; n = 88), or no BSD (n = 545). Compared to BD-I, the BD-NOS group had less severe past functional impairment. However, current symptom severity and functional impairment did not differ between BD-NOS and BD-I, even though both groups were significantly more symptomatic and impaired than the no BSD group. Parental psychiatric history was similar for the BD-NOS and BD-I groups, and both were more likely than the no BSD group to have a parent with a history of mania. Rates of elated mood did not differ between BD-NOS and BD-I youth. CONCLUSIONS Children with BD-NOS and BD-I are quite similar, but different from the no BSD group, on many phenomenological measures. These findings support the hypothesis that BD-NOS is on the same spectrum as BD-I.
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Affiliation(s)
- Danella Hafeman
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA 15213, USA.
| | - David Axelson
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA
| | - Christine Demeter
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Case Western Reserve University, Cleveland, OH
| | - Robert L Findling
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Johns Hopkins University, Baltimore, MD
| | - Mary A Fristad
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Ohio State University, Columbus, OH
| | - Robert A Kowatch
- Division of Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Eric A Youngstrom
- Department of Psychology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Sarah McCue Horwitz
- Department of Child and Adolescent Psychiatry, New York University School of Medicine, New York, NY
| | - L Eugene Arnold
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Ohio State University, Columbus, OH
| | - Thomas W Frazier
- Center for Pediatric Behavioral Health and Center for Autism, Cleveland Clinic, Cleveland, OH, USA
| | - Neal Ryan
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA
| | - Mary Kay Gill
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA
| | | | - Judith Depew
- Division of Psychiatry, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Brieana M Rowles
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Case Western Reserve University, Cleveland, OH
| | - Boris Birmaher
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA
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Louis ED, Hafeman D, Parvez F, Liu X, Alcalay RN, Islam T, Ahmed A, Siddique AB, Patwary TI, Melkonian S, Argos M, Levy D, Ahsan H. Tremor severity and age: a cross-sectional, population-based study of 2,524 young and midlife normal adults. Mov Disord 2011; 26:1515-20. [PMID: 21442657 DOI: 10.1002/mds.23674] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2010] [Revised: 11/15/2010] [Accepted: 01/13/2011] [Indexed: 11/09/2022] Open
Abstract
Mild action tremor occurs in most normal people. Yet this tremor mainly has been studied within the context of advanced age rather than among the vast bulk of adults who are not elderly. Whether this tremor worsens during young and middle age is unknown. Using cross-sectional data from a large population-based study of young and midlife normal adults (age range, 18-60 years), we assessed whether increasing age is associated with more severe action tremor. Two thousand five hundred and twenty-four adults in Araihazar, Bangladesh, drew an Archimedes spiral with each hand. Tremor in spirals was rated (0-3) by a blinded neurologist, and a spiral score (range, 0-6) was assigned. Spiral score was correlated with age (r = 0.06, P = .004). With each advancing decade, the spiral score increased (P = .002) so that the spiral score in participants in the highest age group (age 60) was approximately twice that of participants in the youngest age group (age 18-19); P = .003. In the regression model that adjusted for potential confounders (sex, cigarettes, medications, asthma inhalers, and tea and betel nut use), spiral score was associated with age (P = .0045). In this cross-sectional, population-based study of more than 2500 young and midlife normal adults, there was a clear association between age and tremor severity. Although the magnitude of the correlation coefficient was modest, tremor severity was higher with each passing decade. These data suggest that age-dependent increase in tremor amplitude is not restricted to older people but occurs in all adult age groups.
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Affiliation(s)
- Elan D Louis
- GH Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York, USA.
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Louis ED, Hafeman D, Parvez F, Alcalay RN, Islam T, Siddique AB, Patwary TI, Melkonian S, Argos M, Levy D, Ahsan H. Prevalence of essential tremor in Araihazar, Bangladesh: a population-based study. Neuroepidemiology 2011; 36:71-6. [PMID: 21252586 PMCID: PMC3047762 DOI: 10.1159/000323389] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2010] [Accepted: 12/07/2010] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Essential tremor (ET) is one of the most common neurological diseases. Few prevalence studies have been conducted in South Asia, and none in Bangladesh, one of the most populated countries in the world. We estimated the prevalence of ET in a population-based study in Araihazar, Bangladesh. METHODS As part of an in-person evaluation in a health outcomes study, each study participant produced 2 handwriting samples, from which ET diagnoses were assigned by 2 independent movement disorder neurologists. RESULTS The crude prevalence of ET (age ≥18 years) was 19/1,229 [1.5%, 95% confidence interval (CI) = 1.0-2.4], and was similar in men and women. The crude prevalence was 2.5% in participants aged ≥40 years and was one half that (1.3%) among younger participants (<40 years), although the difference did not reach statistical significance (p = 0.18). The age-adjusted prevalence (United States 2000 census) was 2.0% (95% CI = 1.2-2.8). CONCLUSION The crude prevalence of ET in Araihazar, Bangladesh, was 1.5%. There is 1 other population-based study in a developing country (Turkey) which, like ours, did not restrict enrollment to middle-aged or elderly individuals and did not rely on screening questionnaires; the crude prevalence in the 2 studies is very similar.
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Affiliation(s)
- Elan D. Louis
- GH Sergievsky Center, Columbia University, New York, N.Y., USA
- Department of Neurology, Columbia University, New York, N.Y., USA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, N.Y., USA
- Department of Epidemiology, Columbia University, New York, N.Y., USA
| | - Danella Hafeman
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pa., USA
| | - Faruque Parvez
- Department of Environmental Health Sciences, Columbia University, New York, N.Y., USA
| | - Roy N. Alcalay
- Department of Neurology, Columbia University, New York, N.Y., USA
| | - Tariqul Islam
- Columbia University/University of Chicago Arsenic Research Office in Bangladesh, Dhaka, Bangladesh
| | - Abu Baker Siddique
- Columbia University/University of Chicago Arsenic Research Office in Bangladesh, Dhaka, Bangladesh
| | - Tajul Islam Patwary
- Columbia University/University of Chicago Arsenic Research Office in Bangladesh, Dhaka, Bangladesh
| | - Stephanie Melkonian
- Department of Health Studies and Cancer Research Center, University of Chicago, Chicago, Ill., USA
| | - Maria Argos
- Department of Health Studies and Cancer Research Center, University of Chicago, Chicago, Ill., USA
| | - Diane Levy
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, N.Y., USA
| | - Habibul Ahsan
- Department of Health Studies and Cancer Research Center, University of Chicago, Chicago, Ill., USA
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Hafeman D. Confounding of Indirect Effects in the “Real World”: Exploring the Range of Bias due to a Common Cause of the Mediator and Outcome. Ann Epidemiol 2007. [DOI: 10.1016/j.annepidem.2007.07.065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Hafeman D, Factor-Litvak P, Cheng Z, van Geen A, Ahsan H. Association between manganese exposure through drinking water and infant mortality in Bangladesh. Environ Health Perspect 2007; 115:1107-12. [PMID: 17637930 PMCID: PMC1913599 DOI: 10.1289/ehp.10051] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/03/2007] [Accepted: 03/27/2007] [Indexed: 05/16/2023]
Abstract
BACKGROUND Manganese is a common natural contaminant of groundwater in Bangladesh. In this cross-sectional study we assessed the association between water manganese and all-cause infant mortality in the offspring of female participants in the Health Effects of Arsenic Longitudinal Study Cohort. METHODS In 2001, drinking water samples were collected, a history of well use was obtained, and a history of birth outcomes was ascertained. To avoid misclassification of exposure, women were included only if they had been drinking from the same well for most of their childbearing years (marriage years - well years = 2). Of a total of 26,002 births (among 6,537 mothers), 3,837 children were born to women with this profile. The current analysis was based on the portion of these infants (n = 3,824) with recorded exposure and outcome status, 335 of whom died before reaching 1 year of age. RESULTS Infants exposed to water manganese greater than or equal to the 2003 World Health Organization standard of 0.4 mg/L had an elevated mortality risk during the first year of life compared with unexposed infants [odds ratio (OR) = 1.8; 95% confidence interval (CI), 1.2-2.6]. Adjustment for water arsenic, indicators of social class, and other variables did not appreciably alter these results. When the population was restricted to infants born to recently married parents (marriage year 1991 or after), this elevation was more pronounced (OR = 3.4; 95% CI, 1.5-7.9). CONCLUSIONS These preliminary findings indicate a possible association between manganese exposure and infant mortality. However, given the methodologic limitations of this study, the association needs to be confirmed through future work.
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Affiliation(s)
- Danella Hafeman
- Mailman School of Public Health, Columbia University, New York, New York 10032, USA.
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Abstract
Betel quid consists of a betel nut (Areca catechu) and other additives. It is chewed throughout Asia and is the fourth most commonly used addictive substance in the world. Its stimulant properties are mediated by arecoline and other toxins. The neurological effects of betel quid use have not been studied extensively. To assess tremor, 100 residents of Araihazar, Bangladesh, were asked to draw spirals, which were rated by a blinded neurologist. The average tremor rating was 50% higher in exposed versus unexposed individuals. Betel quid use can produce clinically evident tremor. Population-based epidemiological studies of tremor in Asia should begin to take the effect of this stimulant into account.
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Affiliation(s)
- Danella Hafeman
- Mailman School of Public Health, Columbia University, New York, New York, USA
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