Evidence map›Paper›PMID 40830440›Full record

ArticleBMC infectious diseases2025

Predictive value of combined detection of blood Urea nitrogen and Neutrophil-to-lymphocyte ratio for identifying severe pneumonia complicated with sepsis in neonates.

Weihua Gong, Kaijie Gao, Liu Yang, Teiwei Li, Hongqi Sun, Zhiming Shan, Ci Li, Junmei Yang, Jiajia Ni

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

9 authors.

Weihua GongDepartment of Clinical Laboratory, Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China. 18838920376@163.com.
Kaijie GaoDepartment of Clinical Laboratory, Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China.
Liu YangDepartment of Clinical Laboratory, Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China.
Teiwei LiDepartment of Clinical Laboratory, Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China.
Hongqi SunDepartment of Clinical Laboratory, Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China.
Zhiming ShanDepartment of Clinical Laboratory, Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China.
Ci LiDepartment of Clinical Laboratory, Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China.
Junmei YangDepartment of Clinical Laboratory, Zhengzhou Key Laboratory of Children's Infection and Immunity, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, Henan, China. yangjunmei7683@163.com.
Jiajia NiGuangzhou National Laboratory, Guangzhou, China. nijiajia2005@126.com.

Funding

Key Research, Development, and Promotion Projects of Henan Province 242102310047Medical Science and Technology (Joint Construction) Project of Henan Province LHGJ20220729the Medical Science and Technology (Joint Construction) Project of Henan Province LHGJ20230586
6 · The paper itself

Abstract

backgroundNewborns with severe pneumonia are at a high risk of developing sepsis, and early identification of this risk can improve the prognosis for the affected children. The purpose of this study was to evaluate the predictive value of combining blood urea nitrogen (BUN) and neutrophil-to-lymphocyte ratio (NLR) in diagnosing neonatal severe pneumonia complicated with sepsis (NSPCS).

methodsWe retrospectively included 194 newborns hospitalized from January 2018 to December 2021. Of these, 51 newborns with severe pneumonia developed sepsis. Clinical and laboratory data were collected from electronic medical records. The newborns were divided into severe pneumonia and sepsis groups. Multivariate logistic regression analysis was performed to determine whether BUN and NLR were independent predictors of NSPCS. The predictive value of combining BUN and NLR was assessed using receiver operating characteristic (ROC) curve analysis.

resultsNewborns with severe pneumonia complicated by sepsis had elevated levels of BUN (P < 0.001) and NLR (P = 0.003). Correlation analysis indicated a positive correlation between NSPCS and levels of BUN (r = 0.341, P < 0.001) and NLR (r = 0.213, p = 0.003). Multiple logistic regression analysis revealed that BUN and NLR were independent risk factors for NSPCS. ROC curve analysis revealed that combining BUN and NLR had better efficacy in identifying NSPCS (AUC = 0.757, 95% CI: 0.681–0.834, P < 0.001), with significantly better discriminatory ability than either BUN (AUC = 0.724, 95% CI: 0.643–0.804, P < 0.001) or NLR (AUC = 0.640, 95% CI: 0.545–0.735, P = 0.003) alone.

conclusionThe combined detection of BUN and NLR was a valuable biomarker for identifying NSPCS. WHAT IS KNOWN: Newborns with severe pneumonia are at a high risk of developing sepsis, and early identification of this risk can improve the prognosis for the affected children. The clinical symptoms of neonatal sepsis are nonspecific, and the diagnostic criteria are unclear. Identifying effective biomarkers for early detection of neonatal severe pneumonia complicated with sepsis (NSPCS) could significantly improve clinical outcomes. WHAT IS NEW: This study determined the risk factors for NSPCS. The combined measurement of BUN and NLR levels may be a valuable biomarker for identifying NSPCS, providing clinicians with a reference for accurate diagnosis and treatment.

Indexed as

Blood Urea NitrogenLymphocytesNeutrophilsPneumoniaSepsisBiomarkersFemaleHumansInfant, NewbornLogistic ModelsMalePredictive Value of TestsPrognosisRetrospective StudiesRisk FactorsROC CurveBiomarkersBlood urea nitrogenNeonatesNeutrophil-to-lymphocyte ratioSepsisSevere pneumonia

Identifiers

PMID40830440
PMCPMC12366305

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.