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Gao K, Calabrese JR. Prevalence and factors associated with fatigue in patients with major depressive disorder or bipolar disorder. J Affect Disord 2024; 362:493-501. [PMID: 39009311 DOI: 10.1016/j.jad.2024.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 06/18/2024] [Accepted: 07/11/2024] [Indexed: 07/17/2024]
Abstract
AIMS To study the prevalence of fatigue and factors associated with fatigue in patients with major depressive disorder (MDD) or bipolar disorder (BD). METHODS Two hundred fifty-three outpatients with MDD or BD at the initial assessment were used to study the prevalence of fatigue and relationship between fatigue and other clinical correlates. The severity of fatigue was measured with Iowa Fatigue Scale (IFS), and depression and anxiety symptom-severity were measured with the QIDS-16-SR (the 16-item Quick Inventory of Depressive Symptomatology - Self-Report) and Zung-SAS (Zung Self-Rating Anxiety Scale). Correlation between IFS and QIDS-16-SR total scores, QIDS-16-SR item scores or Zung-SAS total scores, and independent factors associated with fatigue was assessed with simple or multiple linear regression analysis. RESULTS Overall, 28.4 % of MDD and 29.8 % of BD patients did not have fatigue, but 41.2 % of MDD and 45.0 % of BD patients had fatigue, and 30.4 % of MDD and 25.2 % of BD patients had severe fatigue. Depression/anxiety severity was significantly correlated with fatigue. However, after controlling current psychiatric comorbidities, demographics, some social factors, and psychotropic use, only QIDS-16-SR scores were still significantly and positively correlated with IFS scores in both MDD and BD. Differential correlations between IFS scores and item scores of QIDS-16-SR in MDD and BD were observed. LIMITATION Cross-sectional. CONCLUSIONS In this outpatient sample, fatigue was highly prevalent in patients with MDD or BD. The independent association of depressive severity with the severity of fatigue highlights the importance of complete resolution of depressive symptoms in treating MDD and BD.
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Affiliation(s)
- Keming Gao
- Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, OH, United States of America; Case Western Reserve University School of Medicine, Cleveland, OH, United States of America.
| | - Joseph R Calabrese
- Mood Disorders Program, Department of Psychiatry, University Hospitals Cleveland Medical Center, Cleveland, OH, United States of America; Case Western Reserve University School of Medicine, Cleveland, OH, United States of America
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Ivashchenko DV, Buromskaya NI, Shimanov PV, Shevchenko YS, Sychev DA. Exploring Risk Factors for Adverse Reactions in Children with an Acute Psychotic Episode Using the Global Trigger Tool: Does Age Matter? J Child Adolesc Psychopharmacol 2024; 34:319-326. [PMID: 38716826 DOI: 10.1089/cap.2024.0012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/19/2024]
Abstract
Aim: To establish significant risk factors for the development of adverse drug effects (ADEs) in children and adolescents with an acute psychotic episode taking antipsychotics. Materials and Methods: The research team randomly selected 15 patient records each month for 3 years (2016-2018). Overall, 450 patient records were included (223 boys and 227 girls, mean age was 14.52 ± 2.21 years). Adverse effects were identified using the standard algorithm of the Global Trigger Tool method. A "trigger" is an indication that an adverse reaction is likely to occur, e.g., an antihistamine prescription on a prescribing list. When a trigger was detected, the case history was studied in further detail to confirm the occurrence of ADEs. We divided patients into two groups: the "children" group (under 12 years old) and the "adolescents" group (13 years and older). Data were analyzed using the statistical package IBM SPSS Statistics 23.0. Results: Of the 450 patient records, 402 (89.3%) had at least one trigger detected. In total, 126 case histories contained evidence of ADE (28%). The total number of ADEs per 1000 patient days was 5.39 and the number of ADEs per 100 admissions was 32.0. Among adolescents, two or more triggers per patient were significantly more frequently identified (61.3% vs. 44.6%; p = 0.001). ADEs were rare in "Children" compared with "Adolescents" (13.8% vs. 30.4%; p = 0.006). The logistic regression analysis confirmed high predictive role of "Adolescence" (odds ratio [OR] = 2.58; 95% confidence interval [CI] 1.22-5.4; p = 0.013), "Polypharmacy" (OR = 1.96; 95% CI 1.23-3.1; p = 0.004), and "First-life hospitalization" (OR = 2.17; 95% CI 1.34-3.48; p = 0.001) for ADE fact in patient records. Conclusion: We found that significant risk factors for ADEs to antipsychotics in patients with acute psychotic episode were adolescence (13 years and older), polypharmacy, and first-life hospitalization. The fact that children (i.e., younger than 13 years of age) are less likely to experience ADEs was not associated with high-risk drugs or higher doses in our study.
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Affiliation(s)
- Dmitriy V Ivashchenko
- Child Psychiatry and Psychotherapy Department, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Nina I Buromskaya
- Scientific-Practical Children's and Adolescents Mental Health Center n.a. G.E. Sukhareva, Moscow, Russia
| | - Pavel V Shimanov
- Scientific-Practical Children's and Adolescents Mental Health Center n.a. G.E. Sukhareva, Moscow, Russia
| | - Yuriy S Shevchenko
- Child Psychiatry and Psychotherapy Department, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
| | - Dmitriy A Sychev
- Department of Clinical Pharmacology and Therapeutics, Russian Medical Academy of Continuous Professional Education, Moscow, Russia
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Cai L, Chen G, Yang H, Bai Y. Efficacy and safety profiles of mood stabilizers and antipsychotics for bipolar depression: a systematic review. Int Clin Psychopharmacol 2023:00004850-990000000-00058. [PMID: 36947416 DOI: 10.1097/yic.0000000000000449] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
The whole picture of psychotropics for bipolar depression (BPD) remains unclear. This review compares the differences in efficacy and safety profiles among common psychotropics for BPD. MEDLINE, EMBASE, and PsycINFO were searched for proper studies. The changes in the depressive rating scale, remission/response rates, nervous system adverse events (NSAEs), gastrointestinal adverse events (GIAEs), metabolic parameters, and prolactin were compared between medication and placebo or among medications with the Cohen's d or number needed to treat/harm. The search provided 10 psychotropics for comparison. Atypical antipsychotics (AAPs) were superior to lithium and lamotrigine at alleviating acute depressive symptoms. Lithium was more likely to induce dry mouth and nausea. Cariprazine and aripiprazole seemed to be associated with an increased risk of akathisia and upper GIAEs. Lurasidone was associated with an increased risk of developing akathisia and hyperprolactinemia. Olanzapine, olanzapine-fluoxetine combination (OFC), and quetiapine were associated with an increased risk of NSAEs, metabolic risk, dry mouth, and constipation. Cariprazine, lurasidone, OFC, or quetiapine was optimal monotherapy for BPD. Further studies are needed to assess the efficacy and safety of lamotrigine for treating BPD. Adverse events varied widely across different drug types due to variations in psychopharmacological mechanisms, dosages, titration, and ethnicities.
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Affiliation(s)
| | - Guanjie Chen
- Teaching Management Office, Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China
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Kaguelidou F, Valtuille Z, Durrieu G, Delorme R, Peyre H, Treluyer JM, Montastruc F, Chouchana L. Weight Gain During Antipsychotic Treatment in Children, Adolescents, and Adults: A Disproportionality Analysis in the Global Pharmacovigilance Database, Vigibase ®. Drug Saf 2023; 46:77-85. [PMID: 36459374 DOI: 10.1007/s40264-022-01252-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/18/2022] [Indexed: 12/03/2022]
Abstract
INTRODUCTION While antipsychotic-induced weight gain has been widely described in adults, it has yet to be better characterized in children and adolescents. OBJECTIVE The aim of this study was to assess antipsychotic-induced weight-gain reporting in children and adolescents as compared to adults, and according to the type of antipsychotic. METHODS The study is an observational, case-non-case study using individual case safety reports from the WHO global pharmacovigilance database VigiBase® from 1 January 2000 to 2 June 2021. Disproportionality in antipsychotic-related weight-gain reporting in children and adolescents compared to adults was evaluated based on reporting odds ratios (RORs) with corresponding 95% confidence intervals (CIs) through multivariate logistic regression modeling. Analysis was adjusted for sex, region of reporting, year of notification, reporter qualification, concomitant use of antidepressants, and use of more than one antipsychotic. RESULTS Among 282,224 antipsychotic-related spontaneous reports included in this analysis, we identified 16,881 (6.0%) weight-gain cases. Disproportionality in weight-gain reporting was found in children (adjusted ROR (aROR) 3.6; 95% CI 3.3-3.8) and in adolescents (aROR 2.3; 95% CI 2.2-2.4) compared to adults. Use of risperidone was associated with the highest increase in weight-gain reporting in children (aROR 4.9; 95% CI 3.9-6.1) and adolescents (aROR 3.6; 95% CI 3.1-4.1). CONCLUSIONS Compared to adults, weight-gain reporting with antipsychotics was disproportionally higher in the pediatric population, especially in children under 12 years of age. Considering the impact of weight gain on global morbidity and mortality, physicians should closely monitor weight gain in young patients, especially children on risperidone.
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Affiliation(s)
- Florentia Kaguelidou
- Department of Pediatric Pharmacology, APHP.Nord, Robert Debre Hospital, Paris Cité University, Paris, France. .,Clinical Investigations Center, Inserm CIC1426, Hôpital Robert Debré, 48 boulevard Sérurier, 75019, Paris, France. .,EA7323 "Therapeutic Assessment, and Perinatal and Pediatric Pharmacology", Paris Cité University, Paris, France.
| | - Zaba Valtuille
- Department of Pediatric Pharmacology, APHP.Nord, Robert Debre Hospital, Paris Cité University, Paris, France.,Clinical Investigations Center, Inserm CIC1426, Hôpital Robert Debré, 48 boulevard Sérurier, 75019, Paris, France
| | - Geneviève Durrieu
- Department of Medical and Clinical Pharmacology, Centre of Pharmacovigilance and Pharmacoepidemiology, Faculty of Medicine, Toulouse University Hospital (CHU), Toulouse, France.,CIC 1436, Team PEPSS (Pharmacologie En Population cohorteS et biobanqueS), Toulouse University Hospital, Toulouse, France
| | - Richard Delorme
- Department of Child and Adolescent Psychiatry, Robert Debre Hospital, APHP Nord, Paris Cité University, Paris, France.,Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - Hugo Peyre
- Department of Child and Adolescent Psychiatry, Robert Debre Hospital, APHP Nord, Paris Cité University, Paris, France.,Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - Jean-Marc Treluyer
- EA7323 "Therapeutic Assessment, and Perinatal and Pediatric Pharmacology", Paris Cité University, Paris, France.,Department of Pharmacology, Regional Center of Pharmacovigilance, Cochin Hospital, AP-HP Centre-Paris Cité University, Paris, France
| | - François Montastruc
- Department of Medical and Clinical Pharmacology, Centre of Pharmacovigilance and Pharmacoepidemiology, Faculty of Medicine, Toulouse University Hospital (CHU), Toulouse, France.,CIC 1436, Team PEPSS (Pharmacologie En Population cohorteS et biobanqueS), Toulouse University Hospital, Toulouse, France
| | - Laurent Chouchana
- EA7323 "Therapeutic Assessment, and Perinatal and Pediatric Pharmacology", Paris Cité University, Paris, France.,Department of Pharmacology, Regional Center of Pharmacovigilance, Cochin Hospital, AP-HP Centre-Paris Cité University, Paris, France
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Patapoff M, Ramsey M, Titone M, Kaufmann CN, Malhotra A, Ancoli-Israel S, Wing D, Lee E, Eyler LT. Temporal relationships of ecological momentary mood and actigraphy-based sleep measures in bipolar disorder. J Psychiatr Res 2022; 150:257-263. [PMID: 35405410 PMCID: PMC9107496 DOI: 10.1016/j.jpsychires.2022.03.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 03/16/2022] [Accepted: 03/31/2022] [Indexed: 02/01/2023]
Abstract
Sleep disturbances are a key feature of bipolar disorder (BD), and poor sleep has been linked to mood symptoms. Recent use of ecological momentary assessment (EMA) has allowed for nuanced exploration of the sleep-mood link; though, the scale and directionality of this relationship is still unclear. Using EMA, actigraphy, and self-reported sleep measures, this study examines the concurrent and predictive relationships between sleep and mood. Participants with BD (n = 56) wore actigraphy devices for up to 14 days and completed validated scales and daily EMA surveys about mood and sleep quality. Linear mixed models were used to examine overall and time-lagged relationships between sleep and mood variables. EMA mood ratings were correlated with validated rating scales for depression, mania, anxiety, and impulsivity. Poor self-reported sleep quality was associated with worse overall ratings of sadness and anger. Worse self-reported sleep quality was associated with greater sadness the following day. Higher daytime impulsivity was associated with worse sleep quality the following night. Exploratory analyses found relationships between worse and more variable mood (sadness, anger, and impulsivity) with worse and more variable sleep that evening (efficiency, WASO, and sleep onset time). The sample size was modest, fairly homogenous, and included mainly euthymic persons with BD. EMA-based assessments of mood and sleep are correlated with validated scale scores and provide novel insight into intra-individual variability. Further work on the complex two-way interactions between sleep and mood is needed to better understand how to improve outcomes in BD.
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Affiliation(s)
- Molly Patapoff
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA
| | - Marina Ramsey
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA
| | - Madison Titone
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Veterans Affairs San Diego Healthcare System, 3350 La Jolla Village Dr, San Diego, CA, 92161, USA
| | - Christopher N Kaufmann
- Division of Geriatrics and Gerontology, Department of Medicine, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA
| | - Atul Malhotra
- Department of Medicine, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA
| | - Sonia Ancoli-Israel
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA
| | - David Wing
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA
| | - Ellen Lee
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Veterans Affairs San Diego Healthcare System, 3350 La Jolla Village Dr, San Diego, CA, 92161, USA
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, 9500 Gilman Dr. La Jolla, CA, 92093, USA; Desert-Pacific Mental Illness Research Education and Clinical Center, Veterans Affairs San Diego Healthcare System, 3350 La Jolla Village Dr, San Diego, CA, 92161, USA.
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