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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| Veröffentlicht in: | Disease markers Jg. 2020; H. 2020; S. 1 - 10 |
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| Sprache: | Englisch |
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Cairo, Egypt
Hindawi Publishing Corporation
2020
Hindawi John Wiley & Sons, Inc |
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| Abstract | 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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| AbstractList | 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.
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.
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.
SAG at admission could be a promising predictor of 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. 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.BACKGROUNDCongestive 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.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.METHODS AND RESULTSA 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.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.RESULTSA 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.SAG at admission could be a promising predictor of all-cause mortality in critically ill patients with CHF.CONCLUSIONSAG at admission could be a promising predictor of all-cause mortality in critically ill patients with CHF. |
| Author | Zeng, Xiaofang Li, Guojun Zha, Lihuang Liu, Zhenghui Tang, Yiyang Lin, Wenchao Yu, Zaixin Zeng, Xiaoman |
| AuthorAffiliation | 4 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China 3 Department of Emergency, The Third Hospital of Changsha, Changsha, Hunan, China 2 Department of Cardiology, Wenchang People's Hospital, Wenchang, Hainan, China 5 National Clinical Research Center for Geriatric Disorders (Xiangya), Changsha, Hunan, China 1 Department of Cardiology, Xiangya Hospital, Central South University, Changsha, Hunan, China |
| AuthorAffiliation_xml | – name: 1 Department of Cardiology, Xiangya Hospital, Central South University, Changsha, Hunan, China – name: 3 Department of Emergency, The Third Hospital of Changsha, Changsha, Hunan, China – name: 2 Department of Cardiology, Wenchang People's Hospital, Wenchang, Hainan, China – name: 5 National Clinical Research Center for Geriatric Disorders (Xiangya), Changsha, Hunan, China – name: 4 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China |
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| Copyright | Copyright © 2020 Yiyang Tang et al. Copyright © 2020 Yiyang Tang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 Copyright © 2020 Yiyang Tang et al. 2020 |
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| Snippet | Background. Congestive heart failure (CHF) is a complex clinical syndrome, with high morbidity and mortality. Serum anion gap (SAG) is associated with the... Congestive heart failure (CHF) is a complex clinical syndrome, with high morbidity and mortality. Serum anion gap (SAG) is associated with the severity of... |
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| SubjectTerms | 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 |
| Title | Serum Anion Gap Is Associated with All-Cause Mortality among Critically Ill Patients with Congestive Heart Failure |
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