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Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
Published on: June 10, 2025
Serum Anion Gap Is Associated with All-Cause Mortality among Critically Ill Patients with Congestive Heart Failure
Yiyang Tang1, Wenchao Lin1, Lihuang Zha1
1Department of Cardiology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Insights
Serum anion gap (SAG) is a key indicator for predicting mortality in patients with congestive heart failure (CHF). Higher SAG levels are associated with increased 30- and 90-day mortality in critically ill CHF patients.
Area of Science:
- Cardiology
- Critical Care Medicine
- Clinical Chemistry
Background:
- Congestive heart failure (CHF) presents significant morbidity and mortality challenges.
- Serum anion gap (SAG) is linked to cardiovascular disease severity, but its role in CHF requires clarification.
Purpose of the Study:
- To investigate the association between serum anion gap (SAG) and mortality in critically ill patients with congestive heart failure (CHF).
Main Methods:
- Retrospective analysis of data from the Multiparameter Intelligent Monitoring in Intensive Care III (MIMIC-III) database.
- Cox proportional hazards models and subgroup analysis were employed to assess the relationship between SAG and all-cause mortality.
- Included 7426 critically ill patients diagnosed with CHF.
Main Results:
- Increased SAG was significantly associated with higher 30-day and 90-day all-cause mortality in critically ill CHF patients.
- Multivariate analysis adjusted for various confounders, including age, gender, and ethnicity.
- Subgroup analyses confirmed the consistency of this association across most patient strata.
Conclusions:
- Serum anion gap (SAG) at admission shows potential as a predictive biomarker for all-cause mortality in critically ill patients with CHF.
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.
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