Zhiwei Long , Guisheng Xian , Zixuan Xiang , Xiaofeng Zhu , Yue Zhou , Zhengtu Li , Shaoqiang Li , Yangqing Zhan , Feng Ye , Yan Wang
{"title":"危重COPD患者白蛋白校正阴离子间隙与住院死亡率的关系:来自eICU合作研究数据库的多中心回顾性研究","authors":"Zhiwei Long , Guisheng Xian , Zixuan Xiang , Xiaofeng Zhu , Yue Zhou , Zhengtu Li , Shaoqiang Li , Yangqing Zhan , Feng Ye , Yan Wang","doi":"10.1016/j.jcrc.2025.155260","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Patients with chronic obstructive pulmonary disease (COPD) in the intensive care unit (ICU) often have poor prognoses. Early assessment of disease severity is crucial for timely interventions to improve outcomes. The albumin-corrected anion gap (ACAG) reflects the degree of metabolic acidosis and reduces the interference of hypoalbuminemia in the results, making it a suitable marker for COPD patients in the ICU. This study aims to explore the association between ACAG and in-hospital mortality in ICU patients with COPD.</div></div><div><h3>Methods</h3><div>We extracted data from 4304 ICU-admitted COPD patients from the eICU Database and categorized them into four groups based on ACAG quartiles. Logistic regression models were used to analyze the relationship between ACAG and in-hospital mortality in critically ill COPD patients. Restricted cubic spline (RCS) was employed to further explore the potential non-linear association between ACAG and in-hospital mortality. Receiver operating characteristic (ROC) and decision curve analysis (DCA) were used to compare the predictive performance of ACAG and the anion gap. Subgroup analyses were performed to investigate potential interactions.</div></div><div><h3>Results</h3><div>Higher ACAG levels were a strong predictor of in-hospital mortality in critically ill COPD patients. A non-linear relationship was observed between elevated ACAG levels and increased risk of in-hospital mortality, with a sharp increase in mortality risk when ACAG exceeded 15. Compared with the anion gap, ACAG demonstrated superior predictive ability. Subgroup analysis revealed that ACAG had a stronger predictive value in patients younger than 65 years.</div></div><div><h3>Conclusions</h3><div>ACAG is an effective predictor of in-hospital mortality in ICU patients with COPD, offering better predictive power than the anion gap. ACAG can assist in early disease monitoring and risk stratification in critically ill COPD patients.</div></div>","PeriodicalId":15451,"journal":{"name":"Journal of critical care","volume":"91 ","pages":"Article 155260"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The association between albumin-corrected anion gap and in-hospital mortality in critically ill COPD patients: A multicenter retrospective study from eICU collaborative research database\",\"authors\":\"Zhiwei Long , Guisheng Xian , Zixuan Xiang , Xiaofeng Zhu , Yue Zhou , Zhengtu Li , Shaoqiang Li , Yangqing Zhan , Feng Ye , Yan Wang\",\"doi\":\"10.1016/j.jcrc.2025.155260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Patients with chronic obstructive pulmonary disease (COPD) in the intensive care unit (ICU) often have poor prognoses. Early assessment of disease severity is crucial for timely interventions to improve outcomes. The albumin-corrected anion gap (ACAG) reflects the degree of metabolic acidosis and reduces the interference of hypoalbuminemia in the results, making it a suitable marker for COPD patients in the ICU. This study aims to explore the association between ACAG and in-hospital mortality in ICU patients with COPD.</div></div><div><h3>Methods</h3><div>We extracted data from 4304 ICU-admitted COPD patients from the eICU Database and categorized them into four groups based on ACAG quartiles. Logistic regression models were used to analyze the relationship between ACAG and in-hospital mortality in critically ill COPD patients. Restricted cubic spline (RCS) was employed to further explore the potential non-linear association between ACAG and in-hospital mortality. Receiver operating characteristic (ROC) and decision curve analysis (DCA) were used to compare the predictive performance of ACAG and the anion gap. Subgroup analyses were performed to investigate potential interactions.</div></div><div><h3>Results</h3><div>Higher ACAG levels were a strong predictor of in-hospital mortality in critically ill COPD patients. A non-linear relationship was observed between elevated ACAG levels and increased risk of in-hospital mortality, with a sharp increase in mortality risk when ACAG exceeded 15. Compared with the anion gap, ACAG demonstrated superior predictive ability. Subgroup analysis revealed that ACAG had a stronger predictive value in patients younger than 65 years.</div></div><div><h3>Conclusions</h3><div>ACAG is an effective predictor of in-hospital mortality in ICU patients with COPD, offering better predictive power than the anion gap. ACAG can assist in early disease monitoring and risk stratification in critically ill COPD patients.</div></div>\",\"PeriodicalId\":15451,\"journal\":{\"name\":\"Journal of critical care\",\"volume\":\"91 \",\"pages\":\"Article 155260\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of critical care\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0883944125002473\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of critical care","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0883944125002473","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
The association between albumin-corrected anion gap and in-hospital mortality in critically ill COPD patients: A multicenter retrospective study from eICU collaborative research database
Background
Patients with chronic obstructive pulmonary disease (COPD) in the intensive care unit (ICU) often have poor prognoses. Early assessment of disease severity is crucial for timely interventions to improve outcomes. The albumin-corrected anion gap (ACAG) reflects the degree of metabolic acidosis and reduces the interference of hypoalbuminemia in the results, making it a suitable marker for COPD patients in the ICU. This study aims to explore the association between ACAG and in-hospital mortality in ICU patients with COPD.
Methods
We extracted data from 4304 ICU-admitted COPD patients from the eICU Database and categorized them into four groups based on ACAG quartiles. Logistic regression models were used to analyze the relationship between ACAG and in-hospital mortality in critically ill COPD patients. Restricted cubic spline (RCS) was employed to further explore the potential non-linear association between ACAG and in-hospital mortality. Receiver operating characteristic (ROC) and decision curve analysis (DCA) were used to compare the predictive performance of ACAG and the anion gap. Subgroup analyses were performed to investigate potential interactions.
Results
Higher ACAG levels were a strong predictor of in-hospital mortality in critically ill COPD patients. A non-linear relationship was observed between elevated ACAG levels and increased risk of in-hospital mortality, with a sharp increase in mortality risk when ACAG exceeded 15. Compared with the anion gap, ACAG demonstrated superior predictive ability. Subgroup analysis revealed that ACAG had a stronger predictive value in patients younger than 65 years.
Conclusions
ACAG is an effective predictor of in-hospital mortality in ICU patients with COPD, offering better predictive power than the anion gap. ACAG can assist in early disease monitoring and risk stratification in critically ill COPD patients.
期刊介绍:
The Journal of Critical Care, the official publication of the World Federation of Societies of Intensive and Critical Care Medicine (WFSICCM), is a leading international, peer-reviewed journal providing original research, review articles, tutorials, and invited articles for physicians and allied health professionals involved in treating the critically ill. The Journal aims to improve patient care by furthering understanding of health systems research and its integration into clinical practice.
The Journal will include articles which discuss:
All aspects of health services research in critical care
System based practice in anesthesiology, perioperative and critical care medicine
The interface between anesthesiology, critical care medicine and pain
Integrating intraoperative management in preparation for postoperative critical care management and recovery
Optimizing patient management, i.e., exploring the interface between evidence-based principles or clinical insight into management and care of complex patients
The team approach in the OR and ICU
System-based research
Medical ethics
Technology in medicine
Seminars discussing current, state of the art, and sometimes controversial topics in anesthesiology, critical care medicine, and professional education
Residency Education.