Evidence map›Paper›PMID 41269409›Full record

ArticleNeurosurgical review2025

Predictive value of neutrophil-to-albumin ratio for the incidence of acute kidney injury in intracerebral hemorrhage patients.

Quanhu Guo, Ke Zhou, Yile Li, Jun Wan, Fengrui Yang, Fang Fang, Jorge Luis Cuyubamba Dominguez, Yu Zhang

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Neurosurgical review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Quanhu Guo *Department of Clinical Medicine, Shanxi University of Medicine, Shanxi, China.
Ke Zhou *School of Preclinical Medicine / School of Nursing, Chengdu University, Chengdu, Sichuan, China.
Yile Li *School of Preclinical Medicine / School of Nursing, Chengdu University, Chengdu, Sichuan, China.
Jun WanCenter for Evidence-based Medicine, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Fengrui YangCenter for Evidence-based Medicine, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Fang FangDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jorge Luis Cuyubamba DominguezInstitutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China.
Yu ZhangCenter for Evidence-based Medicine, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China. zhangyu1057@cdu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a severe complication in patients with intracerebral hemorrhage (ICH), however, effective biomarkers combining systemic inflammation and nutritional status for early AKI prediction are still needed. This study aimed to evaluate the association between NAR and AKI and to assess its predictive value in ICH patients. This multicenter retrospective cohort study included 8,016 ICH patients. NAR was calculated using routine laboratory data, and AKI was defined based on KDIGO criteria. Logistic regression models were used to evaluate the association between NAR and AKI. Receiver operating characteristic (ROC) analysis and restricted cubic spline models were applied to assess predictive performance and dose-response relationships, respectively. Additional analyses examined the association between NAR and 30-day mortality. Elevated NAR was independently associated with a higher risk of AKI (adjusted OR: 1.46, 95% CI: 1.34-1.59, p < 0.001). Patients in the highest NAR quartile had a significantly increased AKI risk compared to those in the lowest quartile (adjusted OR: 2.83, 95%CI: 2.17-3.69, p < 0.001). ROC analysis showed that NAR had an AUC of 0.64 (95% CI:0.62-0.65) for predicting AKI, which was modest but statistically superior to MLR (AUC 0.60, 95% CI: 0.58-0.62, DeLong p < 0.001). High NAR patients had a substantially higher incidence of AKI than low NAR patients (20.98% vs. 9.93%; risk ratio 2.11, 95% CI: 1.89-2.39). Patients with elevated NAR faced increased moderate/severe AKI (χ² p < 0.001) and were more likely to have higher 30-day mortality (adjusted OR: 1.50, 95% CI: 1.20-1.88, p < 0.001). Subgroup and sensitivity analyses confirmed the robustness of these findings. NAR is a practical adjunct for early risk stratification for predicting AKI in patients with ICH. Routine assessment of NAR could improve early risk stratification and guide clinical intervention.

Indexed as

Acute Kidney InjuryCerebral HemorrhageNeutrophilsAgedAged, 80 and overBiomarkersCohort StudiesFemaleHumansIncidenceMaleMiddle AgedPredictive Value of TestsRetrospective StudiesBiomarkersAcute kidney injuryInflammatory biomarkersIntracerebral hemorrhageNeutrophil-to-Albumin ratioPrognosis

Identifiers

PMID41269409

What OpenQuestion holds

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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.