2023
DOI: 10.1038/s44184-023-00024-z
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Optimizing multi-domain hematologic biomarkers and clinical features for the differential diagnosis of unipolar depression and bipolar depression

Abstract: There is a lack of objective features for the differential diagnosis of unipolar and bipolar depression, especially those that are readily available in practical settings. We investigated whether clinical features of disease course, biomarkers from complete blood count, and blood biochemical markers could accurately classify unipolar and bipolar depression using machine learning methods. This retrospective study included 1160 eligible patients (918 with unipolar depression and 242 with bipolar depression). Pat… Show more

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Cited by 2 publications
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“…More specifically, there is a 5.31 percent greater likelihood of bipolar depression among depressive patients with higher NLR scores ( Dionisie et al, 2021 ). As a result, NLR may serve as a biomarker for the inflammatory state that characterizes bipolar depression ( Zeng et al, 2023 ). Future prospective research on bigger samples that replicate these findings and evaluate them with other inflammatory indicators will undoubtedly be required to make any firm conclusions.…”
Section: Introductionmentioning
confidence: 99%
“…More specifically, there is a 5.31 percent greater likelihood of bipolar depression among depressive patients with higher NLR scores ( Dionisie et al, 2021 ). As a result, NLR may serve as a biomarker for the inflammatory state that characterizes bipolar depression ( Zeng et al, 2023 ). Future prospective research on bigger samples that replicate these findings and evaluate them with other inflammatory indicators will undoubtedly be required to make any firm conclusions.…”
Section: Introductionmentioning
confidence: 99%