Literature DB >> 31169098

Correlation between white blood cell count and mood-stabilising treatment response in two bipolar disorder trials.

Ole Köhler-Forsberg1, Louisa G Sylvia2, Charles L Bowden3, Joseph R Calabrese4, Michael E Thase5, Richard C Shelton6, Melvin McInnis7, Mauricio Tohen8, James H Kocsis9, Terence A Ketter10, Edward S Friedman11, Thilo Deckersbach2, Michael J Ostacher2, Dan V Iosifescu2, Susan McElroy12, Andrew A Nierenberg2.   

Abstract

BACKGROUND: Immune system markers may predict affective disorder treatment response, but whether an overall immune system marker predicts bipolar disorder treatment effect is unclear.
METHODS: Bipolar CHOICE (N = 482) and LiTMUS (N = 283) were similar comparative effectiveness trials treating patients with bipolar disorder for 24 weeks with four different treatment arms (standard-dose lithium, quetiapine, moderate-dose lithium plus optimised personalised treatment (OPT) and OPT without lithium). We performed secondary mixed effects linear regression analyses adjusted for age, gender, smoking and body mass index to investigate relationships between pre-treatment white blood cell (WBC) levels and clinical global impression scale (CGI) response.
RESULTS: Compared to participants with WBC counts of 4.5-10 × 109/l, participants with WBC < 4.5 or WBC ≥ 10 showed similar improvement within each specific treatment arm and in gender-stratified analyses.
CONCLUSIONS: An overall immune system marker did not predict differential treatment response to four different treatment approaches for bipolar disorder all lasting 24 weeks.

Entities:  

Keywords:  bipolar disorder; lithium; quetiapine; treatment response; white blood cell

Year:  2019        PMID: 31169098     DOI: 10.1017/neu.2019.19

Source DB:  PubMed          Journal:  Acta Neuropsychiatr        ISSN: 0924-2708            Impact factor:   3.403


  2 in total

1.  Association of the neutrophil to lymphocyte ratio and white blood cell count with response to pharmacotherapy in unipolar psychotic depression: An exploratory analysis.

Authors:  Cornelis F Vos; Tom K Birkenhäger; Willem A Nolen; Walter W van den Broek; Marieke J H Coenen; Sophie E Ter Hark; Robbert-Jan Verkes; Joost G E Janzing
Journal:  Brain Behav Immun Health       Date:  2021-08-05

2.  Study of Antidepressant-Like Effects of Albiflorin and Paeoniflorin Through Metabolomics From the Perspective of Cancer-Related Depression.

Authors:  Danping Zhao; Jianjun Zhang; Yingli Zhu; Cheng He; Wenting Fei; Na Yue; Chenglong Wang; Linyuan Wang
Journal:  Front Neurol       Date:  2022-07-08       Impact factor: 4.086

  2 in total

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