Evidence map›Paper›PMID 37901205›Full record

ArticleFrontiers in immunology2023

Low lymphocyte to high-density lipoprotein ratio predicts mortality in sepsis patients.

Wanjun Liu, Qian Tao, Jun Xiao, Yijun Du, Tianrong Pan, Yue Wang, Xing Zhong

Abstract read
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Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  10. Why should lymphocytes immune profile matter in sepsis?World journal of critical care medicine · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Wanjun LiuDepartment of Infectious Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Qian TaoDepartment of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Jun XiaoSchool of Clinical Medicine, Anhui Medical University, Hefei, Anhui, China.
Yijun DuDepartment of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Tianrong PanDepartment of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Yue WangDepartment of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Xing ZhongDepartment of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The lymphocyte-to-high-density lipoprotein (HDL) ratio (LHR) is associated with both inflammation and immunity, and may have the potential to predict the prognosis of sepsis. Our study aimed to evaluate the relationship between LHR and sepsis-related mortality. Methods: We collected data from the Medical Information Mart for Intensive Care IV (MIMIC-IV, version 2.2) database by targeting patients who met the Sepsis-3 criteria and recorded the absolute values of lymphocytes and HDL after admission. We then used restricted cubic splines based on logistic regression to simulate the relationship between the LHR and 90-day mortality. Subsequently, the hazardous threshold was derived based on the mortality curve, and further evaluations were performed using different methods and data sources for hazardous threshold. Results: We ultimately included 1027 eligible patients from the MIMIC-IV database and described the nonlinear relationship between LHR and 90-day mortality. Based on the curve, an LHR of ≤ 0.6 indicated harmful threshold, and the odds ratio for mortality was 1.74 ( Conclusions: The LHR has prognostic value in patients with sepsis, and an LHR ≤ 0.6 is a deleterious load that increases mortality.

Indexed as

SepsisCritical CareDatabases, FactualHumansLipoproteins, HDLLymphocytesLipoproteins, HDLimmunityinflammationlipoproteinlymphocytemortalityprognosissepsis

Identifiers

PMID37901205
PMCPMC10601636

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.