Prognostic role of neutrophil–lymphocyte glycemic index in patients with pulmonary embolism

IF 2.4 4区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Mehmet Seyfettin Saribas , Muhammet Ali Erinmez , Mert Cemre Unal , Tamer Colak
{"title":"Prognostic role of neutrophil–lymphocyte glycemic index in patients with pulmonary embolism","authors":"Mehmet Seyfettin Saribas ,&nbsp;Muhammet Ali Erinmez ,&nbsp;Mert Cemre Unal ,&nbsp;Tamer Colak","doi":"10.1016/j.hrtlng.2025.03.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Pulmonary embolism (PE) is a life-threatening condition characterized by significant morbidity and mortality. Its pathophysiology involves inflammation and stress hyperglycemia. The neutrophil-lymphocyte glycemic index (NLGI) integrates these components to offer a novel prognostic tool.</div></div><div><h3>Objectives</h3><div>This study aimed to evaluate the prognostic value of NLGI in predicting in-hospital mortality and major adverse events (MAEs) among patients diagnosed with PE.</div></div><div><h3>Methods</h3><div>A retrospective analysis included patients diagnosed with PE using computed tomography pulmonary angiography or ventilation/perfusion scans. Exclusion criteria included chronic PE, diabetes, renal/liver disease, or missing data. NLGI was calculated based on neutrophil count, lymphocyte count, and plasma glucose levels. The primary and secondary outcomes were in-hospital mortality and MAEs, respectively. Logistic regression and receiver operating characteristic (ROC) analyses were performed to assess prognostic performance.</div></div><div><h3>Results</h3><div>Among 281 patients, in-hospital mortality occurred in 10.3 %, while 17.8 % experienced MAEs. Elevated NLGI was significantly associated with higher mortality and MAEs. Logistic regression confirmed NLGI as an independent predictor of both outcomes. ROC analysis revealed that NLGI showed a higher AUC (0.854) in predicting in-hospital mortality compared to other markers.</div></div><div><h3>Conclusions</h3><div>NLGI is a robust, independent predictor of in-hospital mortality and MAEs in PE patients. Its simplicity and strong predictive capability make it a valuable tool for early risk stratification in clinical practice.</div></div>","PeriodicalId":55064,"journal":{"name":"Heart & Lung","volume":"72 ","pages":"Pages 13-19"},"PeriodicalIF":2.4000,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Heart & Lung","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0147956325000445","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Background

Pulmonary embolism (PE) is a life-threatening condition characterized by significant morbidity and mortality. Its pathophysiology involves inflammation and stress hyperglycemia. The neutrophil-lymphocyte glycemic index (NLGI) integrates these components to offer a novel prognostic tool.

Objectives

This study aimed to evaluate the prognostic value of NLGI in predicting in-hospital mortality and major adverse events (MAEs) among patients diagnosed with PE.

Methods

A retrospective analysis included patients diagnosed with PE using computed tomography pulmonary angiography or ventilation/perfusion scans. Exclusion criteria included chronic PE, diabetes, renal/liver disease, or missing data. NLGI was calculated based on neutrophil count, lymphocyte count, and plasma glucose levels. The primary and secondary outcomes were in-hospital mortality and MAEs, respectively. Logistic regression and receiver operating characteristic (ROC) analyses were performed to assess prognostic performance.

Results

Among 281 patients, in-hospital mortality occurred in 10.3 %, while 17.8 % experienced MAEs. Elevated NLGI was significantly associated with higher mortality and MAEs. Logistic regression confirmed NLGI as an independent predictor of both outcomes. ROC analysis revealed that NLGI showed a higher AUC (0.854) in predicting in-hospital mortality compared to other markers.

Conclusions

NLGI is a robust, independent predictor of in-hospital mortality and MAEs in PE patients. Its simplicity and strong predictive capability make it a valuable tool for early risk stratification in clinical practice.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Heart & Lung
Heart & Lung 医学-呼吸系统
CiteScore
4.60
自引率
3.60%
发文量
184
审稿时长
35 days
期刊介绍: Heart & Lung: The Journal of Cardiopulmonary and Acute Care, the official publication of The American Association of Heart Failure Nurses, presents original, peer-reviewed articles on techniques, advances, investigations, and observations related to the care of patients with acute and critical illness and patients with chronic cardiac or pulmonary disorders. The Journal''s acute care articles focus on the care of hospitalized patients, including those in the critical and acute care settings. Because most patients who are hospitalized in acute and critical care settings have chronic conditions, we are also interested in the chronically critically ill, the care of patients with chronic cardiopulmonary disorders, their rehabilitation, and disease prevention. The Journal''s heart failure articles focus on all aspects of the care of patients with this condition. Manuscripts that are relevant to populations across the human lifespan are welcome.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信