IF 3.1 4区 医学 Q1 Medicine
Makbule Ozlem Akbay, Dilek Ernam, Lale Sertcelik, Fatma Ozbaki
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引用次数: 0

摘要

背景 慢性阻塞性肺疾病(COPD)是一种进行性气道炎症,是全球公认的发病和死亡的主要原因。慢性阻塞性肺病急性加重(AECOPD)会显著恶化临床预后,通常会导致住院治疗,而住院治疗又会增加死亡率和巨大的社会经济负担。本研究旨在评估血红蛋白-白蛋白-淋巴细胞-血小板(HALP)指数在预测因 AECOPD 住院的成年患者院内死亡风险中的作用。材料与方法 该回顾性队列研究共纳入 793 名 AECOPD 住院患者(平均年龄(±SD):71.5±10.2 岁,年龄范围为 23.8-98.4 岁,69.1% 为男性)。研究记录了患者的人口统计学特征、合并症、入院当天的实验室检查结果、重症监护室(ICU)住院时间(入院初期或住院期间)以及院内死亡率。通过多变量逻辑回归分析对预测院内死亡风险的因素进行了分析。为了确定HALP评分在识别有院内死亡风险的患者方面的性能,还进行了接收者操作特征(ROC)曲线分析。结果 多变量逻辑回归分析显示,HALP 评分越低(OR 0.758,95% CI:0.586 至 0.980,P=0.034),院内死亡风险越高。ROC 曲线分析显示,HALP 评分在临界值为
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hemoglobin-Albumin-Lymphocyte-Platelet Index and Risk of In-Hospital Mortality in 793 Adult Patients Hospitalized for Acute Exacerbations of Chronic Obstructive Pulmonary Disease.

BACKGROUND Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory condition of the airways, recognized as a leading cause of morbidity and mortality worldwide. Acute exacerbations of COPD (AECOPD) significantly worsen clinical outcomes and often result in hospitalization, which is linked to increased mortality and a substantial socioeconomic burden. This study aimed to evaluate the role of the hemoglobin-albumin-lymphocyte-platelet (HALP) index in predicting the risk of in-hospital mortality in adult patients hospitalized for AECOPD. MATERIAL AND METHODS A total of 793 patients (mean±SD age: 71.5±10.2 years, range 23.8-98.4 years, 69.1% males) hospitalized with AECOPD were included in this retrospective cohort study. Data on patient demographics, comorbidities, laboratory findings on the day of hospital admission, intensive care unit (ICU) stay (on initial admission or over the course of hospitalization), and in-hospital mortality rates were recorded. The factors predicting in-hospital mortality risk were analyzed via multivariate logistic regression analysis. Receiver operating characteristic (ROC) curve analysis was performed to determine the performance of HALP score in identifying patients at risk of in-hospital mortality. RESULTS Multivariate logistic regression analysis revealed a significant association of lower HALP scores (OR 0.758, 95% CI: 0.586 to 0.980, P=0.034) with increased risk of in-hospital mortality. ROC curve analysis revealed the HALP score to identify patients at risk of in-hospital mortality at a cut-off value of <16.84 (area under curve [AUC]: 0.678, 95% CI: 0.615-0.742, P<0.001) with a sensitivity of 69.1%, specificity of 60.4%, and a NPV of 96.3%. CONCLUSIONS Our findings indicate that the HALP score (at a cut-off value of <16.84) can identify AECOPD patients at high risk of in-hospital mortality, emphasizing its potential use as a simple immune-nutritional prognostic biomarker in assisting accurate prognostic assessment and timely adjustment of treatment options in at-risk patients.

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来源期刊
Medical Science Monitor
Medical Science Monitor MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
6.40
自引率
3.20%
发文量
514
审稿时长
3.0 months
期刊介绍: Medical Science Monitor (MSM) established in 1995 is an international, peer-reviewed scientific journal which publishes original articles in Clinical Medicine and related disciplines such as Epidemiology and Population Studies, Product Investigations, Development of Laboratory Techniques :: Diagnostics and Medical Technology which enable presentation of research or review works in overlapping areas of medicine and technology such us (but not limited to): medical diagnostics, medical imaging systems, computer simulation of health and disease processes, new medical devices, etc. Reviews and Special Reports - papers may be accepted on the basis that they provide a systematic, critical and up-to-date overview of literature pertaining to research or clinical topics. Meta-analyses are considered as reviews. A special attention will be paid to a teaching value of a review paper. Medical Science Monitor is internationally indexed in Thomson-Reuters Web of Science, Journals Citation Report (JCR), Science Citation Index Expanded (SCI), Index Medicus MEDLINE, PubMed, PMC, EMBASE/Excerpta Medica, Chemical Abstracts CAS and Index Copernicus.
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