AUTHOR=Xu Fangming , Wang Xiaobo , Zhang Tianle , Xie Tingting , Xin Xiao , Zhao Yaxuan , Wang Yumei 

TITLE=Analysis of complete blood count and derived inflammatory indicators for bipolar disorder patients with different states

JOURNAL=Frontiers in Psychiatry

VOLUME=14

YEAR=2023

URL=https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2023.1219151

DOI=10.3389/fpsyt.2023.1219151

ISSN=1664-0640

ABSTRACT=<sec><title>Purposes</title><p>This study aimed to analyze the predictive ability of the complete blood count and derived inflammatory indicators for BD patients with different states to identify potential biomarkers.</p></sec><sec><title>Methods</title><p>We collected the data of BD in-patients from January 2021 to March 2023. The complete blood count and derived inflammatory indicators were computed by univariate analysis, logistic regression analysis, and receiver operating characteristic (ROC) curve analysis.</p></sec><sec><title>Results</title><p>In terms of BD patients, the levels of MON (p&lt;0.0001), hs-CRP (<italic>p</italic> = 0.018), and NLR (<italic>p</italic> = 0.002) were independent risk factors in logistic regression analysis, as well as the cut-off values were 0.405 10<sup>9</sup>/L, 2.600 mg/L, and 2.321, respectively. Regarding BD-M patients, the levels of MON (<italic>p</italic>&lt;0.0001), hs-CRP (<italic>p</italic> = 0.012), and NLR (<italic>p</italic> = 0.002) were predictors in logistic regression analysis, and the cut-off values were, respectively, 0.505 10<sup>9</sup>/L, 2.600 mg/L, and 2.620. Additionally, the levels of NLR (<italic>p</italic> = 0.006) and MHR (<italic>p</italic>&lt;0.0001) were important indicators for BD-D and the cut-off values were 1.735 and 0.487, respectively. Furthermore, our findings showed that the level of MON (<italic>p</italic> = 0.001) was related to BD-mixed and the cut-off value was 0.340 10<sup>9</sup>/L. Notably, MON+hs-CRP + NLR, MON+hs-CRP + NLR, and NLR + MHR had the highest diagnostic accuracy to predict BD, BD-M, and BD-D patients, respectively.</p></sec><sec><title>Conclusion</title><p>Our findings showed that distinct inflammatory indicators were closely associated with BD and its different states. Additionally, we also identified their cut-off values and optimal combined predictive indicators in different states of BD, helping us improve diagnostic accuracy and better assess them to manage early targeted interventions.</p></sec>