Association between albumin corrected anion gap and 30-day all-cause mortality of critically ill patients with acute myocardial infarction: a retrospective analysis based on the MIMIC-IV database
Abstract Background The anion gap (AG) has been linked to the prognosis of many cardiovascular disorders. However, the correlation between albumin-corrected anion gap (ACAG) and 30 d all-cause mortality of intensive care patients with acute myocardial infarction (AMI) is unclear. Furthermore, owing...
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| Format: | Article |
| Language: | English |
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BMC
2023-04-01
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| Series: | BMC Cardiovascular Disorders |
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| Online Access: | https://doi.org/10.1186/s12872-023-03200-3 |
| _version_ | 1797836629924118528 |
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| author | Linhao Jian Zhixiang Zhang Quan Zhou Xiangjie Duan Haiqin Xu Liangqing Ge |
| author_facet | Linhao Jian Zhixiang Zhang Quan Zhou Xiangjie Duan Haiqin Xu Liangqing Ge |
| author_sort | Linhao Jian |
| collection | DOAJ |
| description | Abstract Background The anion gap (AG) has been linked to the prognosis of many cardiovascular disorders. However, the correlation between albumin-corrected anion gap (ACAG) and 30 d all-cause mortality of intensive care patients with acute myocardial infarction (AMI) is unclear. Furthermore, owing to the lack of studies, it is also unknown whether ACAG is more accurate than AG in predicting the mortality of AMI. Methods The Medical Information Mart for Intensive Care IV (MIMIC IV) dataset was used to provide patient data in this retrospective cohort study. ACAG is computed using the formulae: [4.4—{albumin (g/dl)}] × 2.5 + AG. The primary outcome was 30 d all-cause mortality intensive care patients with AMI. To explore the prognostic worthiness of ACAG, the receiver operating characteristic curve, smooth curve fitting, Cox regression model, and Kaplan survival analysis was performed. Results We enrolled 2,160 patients in this study. ACAG had a better predictive value for 30 d all-cause mortality than AG, with an area under the curve of 0.66. The association between ACAG levels and overall mortality was nonlinear. In our model, after correcting for confounding factors, the ACAG was the independent predictor for 30 d all-cause mortality (HR 1.75, 95%CI 1.24, 2.47). ACAG K-M estimator curve analyses revealed that the group with ACAG ≥ 21.75 mmol/l had poor survival rate than the other group. Conclusions High serum ACAG levels were a significant risk factor for 30 d all-cause mortality in critically ill patients with AMI. ACAG concentration and 30 d all-cause mortality had a nonlinear relationship. ACAG had better predictive value in identifying 30 d all-cause mortality of patients with AMI in ICU than the AG. |
| first_indexed | 2024-04-09T15:13:06Z |
| format | Article |
| id | doaj.art-9db82e3fe1294fa2966930a8897a3493 |
| institution | Directory Open Access Journal |
| issn | 1471-2261 |
| language | English |
| last_indexed | 2024-04-09T15:13:06Z |
| publishDate | 2023-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cardiovascular Disorders |
| spelling | doaj.art-9db82e3fe1294fa2966930a8897a34932023-04-30T11:06:47ZengBMCBMC Cardiovascular Disorders1471-22612023-04-0123111010.1186/s12872-023-03200-3Association between albumin corrected anion gap and 30-day all-cause mortality of critically ill patients with acute myocardial infarction: a retrospective analysis based on the MIMIC-IV databaseLinhao Jian0Zhixiang Zhang1Quan Zhou2Xiangjie Duan3Haiqin Xu4Liangqing Ge5Department of the First Clinical College, Jinan UniversityDepartment of Cardiology, The First People’s Hospital of ChangdeDepartment of Science and Education, The First People’s Hospital of ChangdeDepartment of Infectious Diseases, The First People’s Hospital of ChangdeDepartment of Cardiac Electrophysiology, The First People’s Hospital of ChangdeDepartment of Cardiology, The First People’s Hospital of ChangdeAbstract Background The anion gap (AG) has been linked to the prognosis of many cardiovascular disorders. However, the correlation between albumin-corrected anion gap (ACAG) and 30 d all-cause mortality of intensive care patients with acute myocardial infarction (AMI) is unclear. Furthermore, owing to the lack of studies, it is also unknown whether ACAG is more accurate than AG in predicting the mortality of AMI. Methods The Medical Information Mart for Intensive Care IV (MIMIC IV) dataset was used to provide patient data in this retrospective cohort study. ACAG is computed using the formulae: [4.4—{albumin (g/dl)}] × 2.5 + AG. The primary outcome was 30 d all-cause mortality intensive care patients with AMI. To explore the prognostic worthiness of ACAG, the receiver operating characteristic curve, smooth curve fitting, Cox regression model, and Kaplan survival analysis was performed. Results We enrolled 2,160 patients in this study. ACAG had a better predictive value for 30 d all-cause mortality than AG, with an area under the curve of 0.66. The association between ACAG levels and overall mortality was nonlinear. In our model, after correcting for confounding factors, the ACAG was the independent predictor for 30 d all-cause mortality (HR 1.75, 95%CI 1.24, 2.47). ACAG K-M estimator curve analyses revealed that the group with ACAG ≥ 21.75 mmol/l had poor survival rate than the other group. Conclusions High serum ACAG levels were a significant risk factor for 30 d all-cause mortality in critically ill patients with AMI. ACAG concentration and 30 d all-cause mortality had a nonlinear relationship. ACAG had better predictive value in identifying 30 d all-cause mortality of patients with AMI in ICU than the AG.https://doi.org/10.1186/s12872-023-03200-3ACAG30 d all-cause mortalityMIMIC IVAcute myocardial infarctionCardiovascular disorder |
| spellingShingle | Linhao Jian Zhixiang Zhang Quan Zhou Xiangjie Duan Haiqin Xu Liangqing Ge Association between albumin corrected anion gap and 30-day all-cause mortality of critically ill patients with acute myocardial infarction: a retrospective analysis based on the MIMIC-IV database BMC Cardiovascular Disorders ACAG 30 d all-cause mortality MIMIC IV Acute myocardial infarction Cardiovascular disorder |
| title | Association between albumin corrected anion gap and 30-day all-cause mortality of critically ill patients with acute myocardial infarction: a retrospective analysis based on the MIMIC-IV database |
| title_full | Association between albumin corrected anion gap and 30-day all-cause mortality of critically ill patients with acute myocardial infarction: a retrospective analysis based on the MIMIC-IV database |
| title_fullStr | Association between albumin corrected anion gap and 30-day all-cause mortality of critically ill patients with acute myocardial infarction: a retrospective analysis based on the MIMIC-IV database |
| title_full_unstemmed | Association between albumin corrected anion gap and 30-day all-cause mortality of critically ill patients with acute myocardial infarction: a retrospective analysis based on the MIMIC-IV database |
| title_short | Association between albumin corrected anion gap and 30-day all-cause mortality of critically ill patients with acute myocardial infarction: a retrospective analysis based on the MIMIC-IV database |
| title_sort | association between albumin corrected anion gap and 30 day all cause mortality of critically ill patients with acute myocardial infarction a retrospective analysis based on the mimic iv database |
| topic | ACAG 30 d all-cause mortality MIMIC IV Acute myocardial infarction Cardiovascular disorder |
| url | https://doi.org/10.1186/s12872-023-03200-3 |
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