Serum Anion Gap Is Associated with All-Cause Mortality among Critically Ill Patients with Congestive Heart Failure

Background. Congestive heart failure (CHF) is a complex clinical syndrome, with high morbidity and mortality. Serum anion gap (SAG) is associated with the severity of various cardiovascular diseases. However, the role of SAG indicators in CHF is unclear. Methods and Results. A retrospective analysis...

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Vydané v:Disease markers Ročník 2020; číslo 2020; s. 1 - 10
Hlavní autori: Yu, Zaixin, Li, Guojun, Zeng, Xiaoman, Zeng, Xiaofang, Zha, Lihuang, Lin, Wenchao, Tang, Yiyang, Liu, Zhenghui
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cairo, Egypt Hindawi Publishing Corporation 2020
Hindawi
John Wiley & Sons, Inc
Predmet:
Acid-Base Imbalance - blood
Acidosis
Age
Aged
Aged, 80 and over
Anions
Anions - blood
Biomarkers - blood
Blood & organ donations
Blood pressure
Cardiac arrhythmia
Cardiovascular disease
Cardiovascular diseases
Comorbidity
Confidence intervals
Congestive heart failure
Critical Illness
Diabetes
Ethnicity
Female
Glucose
Health hazards
Heart failure
Heart Failure - blood
Heart Failure - epidemiology
Heart Failure - mortality
Heart rate
Hemoglobin
Humans
Indicators
Intensive care
Laboratories
Liver diseases
Male
Medical prognosis
Middle Aged
Minority & ethnic groups
Morbidity
Mortality
Multivariate analysis
Patients
Peptides
Pneumonia
Potassium
Statistical models
Structured Query Language-SQL
Subgroups
Variables
Ventilators
Vital signs
United States > US
Massachusetts
ISSN:0278-0240, 1875-8630, 1875-8630
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Shrnutí:Background. Congestive heart failure (CHF) is a complex clinical syndrome, with high morbidity and mortality. Serum anion gap (SAG) is associated with the severity of various cardiovascular diseases. However, the role of SAG indicators in CHF is unclear. Methods and Results. A retrospective analysis of data from Multiparameter Intelligent Monitoring in Intensive Care III version 1.4 was conducted in critically ill patients with CHF. The clinical information of each patient, including demographic data, comorbidities, vital signs, scores, and laboratory indicators, were successfully obtained. Cox proportional hazards models were used to determine the relationship between SAG and mortality in patients with CHF, the consistency of which was further verified by subgroup analysis. Results. A total of 7426 subjects met the inclusion criteria. Multivariate analysis showed that after adjusting for age, gender, ethnicity, and other potential confounders, increased SAG was significantly related to an increase in 30- and 90-day all-cause mortalities of critically ill patients with CHF compared with decreased SAG (tertile 3 versus tertile 1: adjusted hazard ratio, 95% confidence interval: 1.74, 1.46–2.08; 1.53, 1.32–1.77). Subgroup analysis indicated that the association between SAG and all-cause mortality presented similarities in most strata. Conclusion. SAG at admission could be a promising predictor of all-cause mortality in critically ill patients with CHF.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Academic Editor: Heng Zhou
ISSN:0278-0240
1875-8630
1875-8630
DOI:10.1155/2020/8833637