A systematic review and meta‐analysis of clinical predictors of lithium response in bipolar disorder
Year: 2019
Type: review
Study designs: Systematic Review, Meta-Analysis
Abstract: OBJECTIVE: To determine clinical predictors of lithium response in bipolar disorder. METHODS: Systematic review of studies examining clinical predictors of lithium response was conducted. Meta-analyses were performed when ≥2 studies examined the same potential predictor. RESULTS: A total of 71 studies, including over 12 000 patients, identified six predictors of good response: mania-depression-interval sequence [odds ratio (OR): 4.27; 95% CI: 2.61, 6.97; P < 0.001], absence of rapid cycling (OR for rapid cycling: 0.30; 95% CI: 0.17, 0.53; P < 0.001), absence of psychotic symptoms (OR for psychotic symptoms: 0.52; 95% CI: 0.34, 0.79; P = 0.002), family history of bipolar disorder (OR: 1.61; 95% CI: 1.03, 2.52; P = 0.036), shorter prelithium illness duration [standardised mean difference (SMD): -0.26; 95% CI: -0.41, -0.12; P < 0.001] and later age of onset (SMD: 0.17; 95% CI: 0.02, 0.36; P = 0.029). Additionally, higher body mass index was associated with poor response in two studies (SMD: -0.61; 95% CI: -0.90, -0.32; P < 0.001). There was weak evidence for number of episodes prior to lithium treatment (SMD: -0.42; 95% CI: -0.84, -0.01; P = 0.046), number of hospitalisations before lithium (SMD: -0.40; 95% CI: -0.81, 0.01; P = 0.055) and family history of lithium response (OR: 10.28; 95% CI: 0.66, 161.26; P = 0.097). CONCLUSIONS: The relative importance of these clinical characteristics should be interpreted with caution because of potential biases and confounding.
Source: Acta Psychiatrica Scandinavica
DOI: 10.1111/acps.13062
Authors: T. P. Hui, A. Kandola, L. Shen, G. Lewis, D. P. J. Osborn, J. R. Geddes, J. F. Hayes
Institutions: University College London, University of Oxford
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,600
OpenAlex ID: W2952319084
