Abstract
Background/Objectives: 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. Methods: 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. Results: 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 (p = 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. Conclusions: Our study underscores the importance of considering hypomanic symptoms when estimating lithium response in BD, particularly by utilizing the HCL-32 during screening.
| Lingua originale | Inglese |
|---|---|
| pagine (da-a) | 269-N/A |
| Rivista | Pharmaceuticals |
| Volume | 18 |
| Numero di pubblicazione | 2 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2025 |
OSS delle Nazioni Unite
Questo processo contribuisce al raggiungimento dei seguenti obiettivi di sviluppo sostenibile
-
SDG 3 Salute e benessere
All Science Journal Classification (ASJC) codes
- Medicina Molecolare
- Scienze Farmaceutiche
- Nuovi Farmaci
Keywords
- Alda scale
- bipolar disorder
- hypomania
- lithium
- mania
- screening
- treatment response
Fingerprint
Entra nei temi di ricerca di 'The Potential of Using Screening Tools for Bipolar Disorder to Predict Lithium Response'. Insieme formano una fingerprint unica.Cita questo
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver