Evidence map›Paper›PMID 39754182›Full record

ArticleEuropean journal of medical research2025

Impact of neutrophil percentage-to-albumin ratio on mortality in iron-deficiency anemia patients: a retrospective study using MIMIC-IV database.

Weide Lin, Junfan Chen, Xufa Peng, Yaohua Yu, Shiqing Huang, Shurong Li, Bixia Lin

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Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Weide LinDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.
Junfan ChenDepartment of Medical Equipment Department, The First Hospital of Putian City, Putian, China.
Xufa PengDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.
Yaohua YuDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.
Shiqing HuangDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.
Shurong LiDepartment of Anesthesiology, The First Hospital of Putian City, Putian, China.
Bixia LinDepartment of Ultrasonography, The First Hospital of PuTian City, Nanmen West Road, Chengxiang District, Putian, People's Republic of China. EchoLin520@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the intensive care unit (ICU), the incidence of iron-deficiency anemia (IDA) is relatively high and is associated with various adverse clinical outcomes. Therefore, it is crucial to identify simple and practical indicators to assess the mortality risk in ICU patients with IDA. This study aims to investigate the relationship between the Neutrophil Percentage-to-Albumin Ratio (NPAR) levels in patients with IDA in the ICU and their all-cause mortality at 30 and 365 days. MATERIALS AND

methodsWe analyzed data from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) 3.0 database spanning the years 2008-2022 and identified a cohort of 817 patients with IDA who met our inclusion criteria. Through multivariate Cox regression analysis, the relationship between NPAR levels and 30-day and 365-day mortality risks was assessed, and restricted cubic splines (RCS) models were used to explore potential nonlinear relationships. Additionally, an inflection point analysis was conducted to evaluate the potential of NPAR levels in predicting short- and long-term mortality risks.

resultsThe study found that high NPAR levels were significantly associated with an increased risk of 30-day and 365-day mortality in patients with IDA (hazard ratio [HR] range 1.49-2.23, p < 0.001 for all). The relationship between natural logarithmic transformation (ln) NPAR levels and 30-day and 365-day mortality risks exhibited an inverse "L" shaped pattern. Patient mortality risk increased significantly when ln-transformed NPAR levels exceeded 1.2 (HR range 3.366-4.304, p < 0.001 for all). Additionally, subgroup analyses did not reveal any significant interactions, indicating that the predictive effect of NPAR on mortality risk is relatively consistent across different subgroups.

conclusionWe found an inverse "L" shaped relationship between ln-transformed NPAR levels and 30-day and 365-day mortality risks, particularly when ln-transformed NPAR values exceed 1.2, which is significantly associated with an increased risk of death within 30 and 365 days for patients.

Indexed as

Anemia, Iron-DeficiencyNeutrophilsAdultAgedDatabases, FactualFemaleHumansIntensive Care UnitsMaleMiddle AgedRetrospective StudiesSerum AlbuminSerum AlbuminIntensive care unitIron-deficiency anemiaMortality riskNeutrophil percentage-to-albumin ratio

Identifiers

PMID39754182
PMCPMC11699816

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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.