Suicidality in patients with bipolar depression: Findings from a lower middle-income country

Xue, Siqi; Hodsoll, John; Khoso, Ameer B; Husain, Muhammad; Chaudhry, Imran B; Young, Allan H.; Zaheer, Juveria; Husain, Nusrat; Mulsant, Benoit H.

doi:10.1016/j.jad.2021.04.015

Cited by 8 publications

(5 citation statements)

References 37 publications

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“…Furthermore, we observe that the severe-risk group shows more elevated depressed mood, irritability, and psychosis than the low-risk group but is less manic. This observation aligns with the clinical studies that identified dominant depression mood [1,4,69,77], irritability [4,25], and psychotic features [25,50] as major suicide risk factors in BD patients, but the mania status is not significantly related [50]. We also find similar results in the LIWC categories, which reveal higher values in negemo, sad, and anger for the severe-risk group.…”

Section: Bd Symptoms Affectingsupporting

confidence: 91%

“…In the 𝑠 1 sequence, 'MTL All' assigns a lower attention score to 𝑝 1 1 , whereas giving more attention to 𝑝 1 2 −𝑝 1 4 . It indicates that irritability/somatic and depressed/psychosis are crucial for predicting future suicidality [4,50,77]. Also, we find a similar tendency for the BD symptoms' attention weights in Figure 6(b); as the risk of suicide increases, the importance of attention weights to anxiety decreases, while the importance of depressed and irritability increases significantly.…”

Section: Interpretability Of the Modelsupporting

confidence: 63%

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Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning

Lee

Son

Jeon

et al. 2023

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

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Bipolar disorder (BD) is closely associated with an increased risk of suicide. However, while the prior work has revealed valuable insight into understanding the behavior of BD patients on social media, little attention has been paid to developing a model that can predict the future suicidality of a BD patient. Therefore, this study proposes a multi-task learning model for predicting the future suicidality of BD patients by jointly learning current symptoms. We build a novel BD dataset clinically validated by psychiatrists, including 14 years of posts on bipolar-related subreddits written by 818 BD patients, along with the annotations of future suicidality and BD symptoms. We also suggest a temporal symptom-aware attention mechanism to determine which symptoms are the most influential for predicting future suicidality over time through a sequence of BD posts. Our experiments demonstrate that the proposed model outperforms the state-of-the-art models in both BD symptom identification and future suicidality prediction tasks. In addition, the proposed temporal symptom-aware attention provides interpretable attention weights, helping clinicians to apprehend BD patients more comprehensively and to provide timely intervention by tracking mental state progression. CCS CONCEPTS• Computing methodologies → Multi-task learning; Natural language processing; • Applied computing → Health informatics.

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Section: Bd Symptoms Affectingsupporting

confidence: 91%

Section: Interpretability Of the Modelsupporting

confidence: 63%

Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning

Lee

Son

Jeon

et al. 2023

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

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“…In the Han-Chinese population, low-grade inflammation was not associated with hypersomnia but was associated with leaden paralysis 20 . The same study reported that low-grade inflammation was associated with a recent suicide attempt, while in our sample low-grade inflammation was associated with less suicidality as previously reported 13 . As discussed above, one explanation may be the lower rates of depression in the Han Chinese sample vs our sample.…”

Section: Discussionsupporting

confidence: 64%

“…20 The same study reported that low-grade inflammation was associated with a recent suicide attempt, while in our sample low-grade inflammation was associated with less suicidality as previously reported. 13 As discussed above, one explanation may be the lower rates of depression in the Han Chinese sample vs our sample. Furthermore, both samples represent relatively unique groups with distinct psychosocial circumstances, lifestyle factors, and cultural practices.…”

Section: Discussionmentioning

confidence: 70%

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Associations between peripheral inflammation and clinical phenotypes of bipolar depression in a lower-middle income country

et al. 2023

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Objective There has been increased interest in repurposing anti-inflammatories for the treatment of bipolar depression. Evidence from high-income countries suggests that these agents may work best for specific depressive symptoms in a subset of patients with biochemical evidence of inflammation but data from lower-middle income countries (LMICs) is scarce. This secondary analysis explored the relationship between pretreatment inflammatory markers and specific depressive symptoms, clinical measures, and demographic variables in participants with bipolar depression in Pakistan. Methods The current study is a cross-sectional secondary analysis of a randomized controlled trial of two anti-inflammatory medications (minocycline and celecoxib) for bipolar depression (n = 266). A series of logistic and linear regression models were completed to assess the relationship between C-reactive protein (CRP) (CRP > or < 3 mg/L and log10CRP) and clinical and demographic features of interest and symptoms of depression. Baseline clinical trial data was used to extract clinical and demographic features and symptoms of depression were assessed using the 24-item Hamilton Depression Rating Scale. Results The prevalence of low-grade inflammation (CRP > 3 mg/L) in the sample was 70.9%. After adjusting for baseline body mass index, socioeconomic status, age, gender, symptoms related to anhedonia, fatigue, and motor retardation were most associated with low-grade inflammation. Conclusions Bipolar disorder (BD) patients from LMICs may experience higher rates of peripheral inflammation than have been reported in Western populations with BD. Future trials of repurposed anti-inflammatory agents that enrich for participants with these symptom profiles may inform the development of personalized treatment for bipolar depression in LMICs.

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Repurposing Anti-inflammatory Agents for Mood Disorders: an Updated Review of Current Evidence

Jones

Dai

Mahboob

et al. 2022

Curr Treat Options Psych

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Suicidality in patients with bipolar depression: Findings from a lower middle-income country

Cited by 8 publications

References 37 publications

Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning

Towards Suicide Prevention from Bipolar Disorder with Temporal Symptom-Aware Multitask Learning

Associations between peripheral inflammation and clinical phenotypes of bipolar depression in a lower-middle income country

Repurposing Anti-inflammatory Agents for Mood Disorders: an Updated Review of Current Evidence

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