The Potential of Using Screening Tools for Bipolar Disorder to Predict Lithium Response

<b>Background/Objectives:</b> Lithium is the gold standard for treating Bipolar Disorder (BD), but its effectiveness varies widely. While clinical and environmental factors may influence response, it remains unclear if screening tools can reliably predict lithium response outcomes. This study explores this potential using two widely used screening instruments for BD. <b>Methods:</b> A total of 146 patients with BD were evaluated. Lithium response was assessed using the Alda Scale, while hypomanic and manic symptoms were characterized through the Hypomania Checklist-32 (HCL-32) and the Mood Disorder Questionnaire (MDQ). Group differences in HCL-32 and MDQ scores were analyzed using ANOVA, and a multivariate model was employed to identify predictors of lithium response. <b>Results:</b> Of the total sample, 46 (31.5%) patients were identified as lithium responders based on the Alda Scale. Responders exhibited significantly higher HCL-32 scores compared to non-responders (<i>p</i> = 0.023), while no differences were observed in MDQ scores or other sociodemographic characteristics. Linear regression analysis revealed that HCL-32 scores were a significant predictor of Alda Scale scores, with no associations found for age, gender, or MDQ scores. <b>Conclusions:</b> Our study underscores the importance of considering hypomanic symptoms when estimating lithium response in BD, particularly by utilizing the HCL-32 during screening.

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Publication Details

Journal
Pharmaceuticals
Published
2025-02-18
DOI
https://doi.org/10.3390/ph18020269
Citations
2
Primary Topic
Bipolar Disorder and Treatment
Type
article
Field-Weighted Citation Impact
2.94
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article

The Potential of Using Screening Tools for Bipolar Disorder to Predict Lithium Response

Gianna Autullo, Delfina Janiri, Giovanni Camardese, Silvia Montanari et al.
2 citations
Pharmaceuticals
Bipolar Disorder and Treatment
2.94
article

The Potential of Using Screening Tools for Bipolar Disorder to Predict Lithium Response

Gianna Autullo, Delfina Janiri, Giovanni Camardese, Silvia Montanari, Alessio Simonetti, Gabriele Sani, Mário Pinto, Alexia E. Koukopoulos, Lorenzo Moccia, Greta Sfratta, Guglielmo Donofrio, Ester Maria Marzo
article en
2 citations

Abstract

<b>Background/Objectives:</b> Lithium is the gold standard for treating Bipolar Disorder (BD), but its effectiveness varies widely. While clinical and environmental factors may influence response, it remains unclear if screening tools can reliably predict lithium response outcomes. This study explores this potential using two widely used screening instruments for BD. <b>Methods:</b> A total of 146 patients with BD were evaluated. Lithium response was assessed using the Alda Scale, while hypomanic and manic symptoms were characterized through the Hypomania Checklist-32 (HCL-32) and the Mood Disorder Questionnaire (MDQ). Group differences in HCL-32 and MDQ scores were analyzed using ANOVA, and a multivariate model was employed to identify predictors of lithium response. <b>Results:</b> Of the total sample, 46 (31.5%) patients were identified as lithium responders based on the Alda Scale. Responders exhibited significantly higher HCL-32 scores compared to non-responders (<i>p</i> = 0.023), while no differences were observed in MDQ scores or other sociodemographic characteristics. Linear regression analysis revealed that HCL-32 scores were a significant predictor of Alda Scale scores, with no associations found for age, gender, or MDQ scores. <b>Conclusions:</b> Our study underscores the importance of considering hypomanic symptoms when estimating lithium response in BD, particularly by utilizing the HCL-32 during screening.

PharmaceuticalsVol. 18(2)
Università Cattolica del Sacro Cuore (IT), Baylor College of Medicine (US), Agostino Gemelli University Polyclinic (IT), Link Campus University (IT)
Good health and well-being
Openalex Percentile: Top 12%
Bipolar Disorder and Treatment
2.94
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