U-shaped correlation of lymphocyte count with all-cause hospital mortality in sepsis and septic shock patients: a MIMIC-IV and eICU-CRD database study

Our findings demonstrate that lymphocyte counts are a significant independent predictor of hospital mortality in sepsis and septic shock patients. We observed a U-shaped association between lymphocyte levels and mortality risk, indicating that high and low counts are linked to increased mortality. This result highlights the complex role of lymphocytes in sepsis outcomes and suggests the need for further investigation into the underlying mechanisms and potential therapeutic approaches. Integrating lymphocyte count assessment into risk stratification algorithms and clinical decision support tools could enhance the early identification of high-risk sepsis patients.

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Publication Details

Journal
International Journal of Emergency Medicine
Published
2024-08-26
DOI
https://doi.org/10.1186/s12245-024-00682-6
Citations
11
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
4.25

Funders

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article

U-shaped correlation of lymphocyte count with all-cause hospital mortality in sepsis and septic shock patients: a MIMIC-IV and eICU-CRD database study

Ziren Tang, XingSheng Wang, Chenchen Hang, Guyu Zhang et al.
11 citations
International Journal of Emergency Medicine
Sepsis Diagnosis and Treatment
4.25
article

U-shaped correlation of lymphocyte count with all-cause hospital mortality in sepsis and septic shock patients: a MIMIC-IV and eICU-CRD database study

Ziren Tang, XingSheng Wang, Chenchen Hang, Guyu Zhang, Fei Shao, Tao Wang, Le An, Rui Shao
article en
11 citations

Abstract

Our findings demonstrate that lymphocyte counts are a significant independent predictor of hospital mortality in sepsis and septic shock patients. We observed a U-shaped association between lymphocyte levels and mortality risk, indicating that high and low counts are linked to increased mortality. This result highlights the complex role of lymphocytes in sepsis outcomes and suggests the need for further investigation into the underlying mechanisms and potential therapeutic approaches. Integrating lymphocyte count assessment into risk stratification algorithms and clinical decision support tools could enhance the early identification of high-risk sepsis patients.

International Journal of Emergency MedicineVol. 17(1)
Capital Medical University (CN), Beijing Chao-Yang Hospital, Capital Medical University (CN)
Capital Medical University
Good health and well-being
Openalex Percentile: Top 5%
Sepsis Diagnosis and Treatment
4.25
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