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Wang R, Rong J, Xu J, He M. A prognostic model incorporating the albumin-corrected anion gap in patients with aneurysmal subarachnoid hemorrhage. Front Neurol 2024; 15:1361888. [PMID: 38962480 PMCID: PMC11220265 DOI: 10.3389/fneur.2024.1361888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 05/24/2024] [Indexed: 07/05/2024] Open
Abstract
Background Aneurysmal subarachnoid hemorrhage (aSAH) patients typically have poor prognoses. The anion gap (AG) has been proven to correlate with mortality in various critically ill patients. However, hypoalbuminemia can lead to underestimations of the true anion gap levels. This study was conducted to verify the prognostic value of single AG and albumin-corrected anion gap (ACAG) among aSAH patients. Methods Significant factors in the univariate logistic regression analysis were included in the multivariate logistic regression analysis to explore the risk factors for mortality in aSAH patients and to confirm the independent relationship between ACAG and mortality. The restricted cubic spline (RCS) was used to visually show the relationship between ACAG level and mortality risk of aSAH patients. The predictive model for mortality was developed by incorporating significant factors into the multivariate logistic regression analysis. The prognostic value of ACAG and the developed model was evaluated by calculating the area under the receiver operating characteristics curve (AUC). Results Among 710 aSAH patients, a 30-day mortality was observed in 20.3% of the cases. A positive relationship was demonstrated between the ACAG level and mortality in aSAH patients using the RCS curve. The multivariate logistic regression analysis helped discover that only six factors were finally and independently related to mortality of aSAH patients after adjusting for confounding effects, including the Hunt-Hess scale score (p = 0.006), surgical options (p < 0.001), white blood cell count (p < 0.001), serum chloride levels (p = 0.023), ACAG (p = 0.039), and delayed cerebral ischemia (p < 0.001). The AUC values for the AG, albumin, and ACAG in predicting mortality among aSAH patients were 0.606, 0.536, and 0.617, respectively. A logistic regression model, which includes the Hunt-Hess scale score, surgical options, white blood cell count, serum chloride levels, ACAG, and delayed cerebral ischemia, achieved an AUC of 0.911 for predicting mortality. Conclusion The ACAG is an effective prognostic marker for aSAH patients. A prognostic model incorporating ACAG could help clinicians evaluate the risk of poor outcomes among aSAH patients, thereby facilitating the development of personalized therapeutic strategies.
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Affiliation(s)
- Ruoran Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Juan Rong
- West China Centre of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jianguo Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Min He
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Yin F, Qiao Z, Wu X, Shi Q, Jin R, Xu Y. Association between albumin-corrected anion gap and in-hospital mortality of intensive care patients with trauma: A retrospective study based on MIMIC-Ⅲ and Ⅳ databases. PLoS One 2024; 19:e0300012. [PMID: 38452113 PMCID: PMC10919588 DOI: 10.1371/journal.pone.0300012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 02/19/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND To investigate the correlation between albumin-corrected anion gap(ACAG) within the first 24 hours of admission and in-hospital mortality in trauma patients in intensive care unit(ICU). MATERIALS AND METHODS We utilized the MIMIC-Ⅲ and MIMIC-Ⅳ databases to examine trauma patients admitted to the ICU. The relationship between ACAG and in-hospital mortality in trauma patients was analyzed using Receiver Operating Characteristic(ROC) curve, Kaplan-Meier (K-M) survival curve, and Cox regression model. Propensity score matching (PSM) and subgroup analysis were conducted to enhance stability and reliability of the findings. Mortality at 30-day and 90-day served as secondary outcomes. RESULTS The study enrolled a total of 1038 patients. The AUC for ACAG (0.701, 95%CI: 0.652-0.749) was notably higher than that for anion gap and albumin. The Log-rank test revealed that the optimal cut-off point of ACAG for predicting in-hospital mortality was determined to be 20.375mmol/L. The multivariate Cox regression analysis demonstrated an independent association between high ACAG level and a higher risk of in-hospital mortality (HR = 3.128, 95% CI: 1.615-6.059). After PSM analysis, a matched cohort consisting of 291 subjects was obtained. We found no signifcant interaction in most stratas. Finally, The in-hospital, 30-day, and 90-day survival rates in the high ACAG group exhibited a statistically decrease compared to those in the low ACAG group both pre- and post-matching. CONCLUSION The elevated level of ACAG was found to be independently associated with increased in-hospital mortality among trauma patients in the ICU.
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Affiliation(s)
- Fei Yin
- Department of Emergency, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China
| | - Zhenguo Qiao
- Department of Gastroenterology, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China
| | - Xiaofei Wu
- Department of Emergency, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China
| | - Qiang Shi
- Department of Emergency, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China
| | - Rongfei Jin
- Department of Emergency, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China
| | - Yuzhou Xu
- Department of Orthopedics, Suzhou Ninth People’s Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China
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Guo H, Wang J. Association Between Albumin-Corrected Anion Gap and In-Hospital Mortality and Sepsis-Associated Acute Kidney Injury. Med Sci Monit 2024; 30:e943012. [PMID: 38339777 PMCID: PMC10865774 DOI: 10.12659/msm.943012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 12/13/2023] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND This study aimed to investigate the association between albumin-corrected anion gap (ACAG) and in-hospital mortality in sepsis-associated acute kidney injury (S-AKI). MATERIAL AND METHODS We conducted this retrospective study based on data from the Medical Information Mart for Intensive Care IV database, and assessed the prognostic capabilities of ACAG in comparison with albumin (ALB) and anion gap (AG) to predict in-hospital mortality of patients with S-AKI. Binomial logistic regression analysis was performed to identify whether ACAG was an independent risk factor for in-hospital mortality for the patients, and receiver operating characteristic (ROC) curves were plotted to clarify its efficacy in predicting in-hospital mortality. We also performed a decision curve analysis (DCA) to determine whether there were net clinical benefits for patients when ACAG was used to predict in-hospital mortality. RESULTS Binary logistic regression analysis showed that ACAG was an independent risk factor for in-hospital mortality in patients with S-AKI, with an area under the ROC (AUC) curve of 0.675 (moderate predictive value) for the prediction of in-hospital mortality, higher than that of ALB or AG alone, with the highest Youden's index (0.2675). The DCA substantiated the superiority of ACAG in net clinical benefits at various threshold probability, enhancing its clinical applicability. CONCLUSIONS The research emphasizes the potential of ACAG as a valuable predictive tool for in-hospital mortality in S-AKI patients, which is better than albumin and AG, encouraging its consideration in clinical practice.
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Affiliation(s)
- Haixu Guo
- First Clinical College, Jinan University, Guangzhou, Guangdong, PR China
- Department of Critical Care Medicine III, Maoming People’s Hospital, Maoming, Guangdong, PR China
| | - Jie Wang
- First Clinical College, Jinan University, Guangzhou, Guangdong, PR China
- Department of Nephrology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, PR China
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Gao P, Min J, Zhong L, Shao M. Association between albumin corrected anion gap and all-cause mortality in critically ill patients with acute kidney injury: a retrospective study based on MIMIC-IV database. Ren Fail 2023; 45:2282708. [PMID: 37975171 PMCID: PMC11001314 DOI: 10.1080/0886022x.2023.2282708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/08/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND The early identification of patients at high risk for acute kidney injury (AKI) with a poor prognosis is crucial to prevent complications and minimize mortality. This study sought to investigate the association between albumin-corrected anion gap (ACAG) and all-cause mortality among critically ill patients with AKI. METHODS All eligible AKI patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV version 2.0) database were considered for participation in this study. We employed Kaplan-Meier curves to assess the 30-d and 360-d cumulative survival rates among various groups. Flexibly visualizing the connection between ACAG and mortality, we utilize restricted cubic splines (RCS) and multivariate Cox regression models. Result robustness underwent assessment through subgroup analyses and sensitivity analyses. Receiver-operating characteristic (ROC) curves were generated to evaluate the predictive performance of ACAG. RESULTS The study included 9625 AKI participants, of whom 58.60% were male, and the 360-d all-cause mortality rate was 39.89%. According to Kaplan-Meier analysis, the 30-d and 360-d cumulative survival rates for AKI patients were significantly lower in the high ACAG group than in the normal ACAG group. RCS analysis indicated that ACAG levels had a non-linear correlation with the risk of 30-d and 360-d mortality for AKI patients. Cox regression analysis demonstrated that ACAG is an independent risk indicator for 30-d and 360-d prognosis in AKI patients in the ICU. CONCLUSIONS Elevated ACAG levels (> 20 mmol/L) at ICU admission were associated with 30-d and 360-d all-cause mortality in critically ill patients with AKI.
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Affiliation(s)
- Penghui Gao
- Department of Emergency, The Second Hospital of Shandong University, Jinan, PR China
| | - Jie Min
- Department of Intensive Care Unit, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, PR China
- Affiliated Huzhou Hospital, Zhejiang University School of Medicine, Huzhou, PR China
- The Fifth School of Clinical Medicine, Zhejiang Chinese Medical University, Huzhou, PR China
| | - Lei Zhong
- Department of Intensive Care Unit, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, PR China
- Affiliated Huzhou Hospital, Zhejiang University School of Medicine, Huzhou, PR China
- The Fifth School of Clinical Medicine, Zhejiang Chinese Medical University, Huzhou, PR China
| | - Mingju Shao
- Department of Emergency, The Second Hospital of Shandong University, Jinan, PR China
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Wang S, Teng H, Han H, Xu Y. The relationship between albumin corrected anion gap levels and mortality in patients with asthma in the ICU. Sci Rep 2023; 13:16903. [PMID: 37803051 PMCID: PMC10558512 DOI: 10.1038/s41598-023-44182-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 10/04/2023] [Indexed: 10/08/2023] Open
Abstract
Although previous studies have suggested that albumin-corrected anion gap (ACAG) may be a predictor of mortality in critically ill patients in intensive care unit (ICU), its utility in the context of asthma has not been definitively established. In this study, baseline data, albumin concentration, anion gap (AG) and 30-d mortality data were retrieved from the Medical Information Mart for Intensive Care IV database (MIMIC-IV) for patients with asthma in the intensive care unit. Receiver operating characteristic (ROC) curves were constructed to analyze the predictive ability of ACAG and AG. The risk of 30-day mortality among patients with ACAG and asthma was analyzed using a restricted cubic spline (RCS) plot. Decision curve analysis (DCA) was used to evaluate the clinical usefulness of ACAG as a prognostic factor for 30-day mortality. Subsequently, subgroup analysis was conducted to explore potential variations in the relationship between ACAG and 30-day mortality based on factors such as sex, age, whether the asthma was acute, and other co-morbidities. Our study reveals that ACAG is a significant independent predictor of 30-day mortality in asthmatic patients receiving intensive care. The area under the AUC curve for ACAG was found to be 0.703, which is higher than that of AG, indicating that ACAG has a better predictive ability for 30-day mortality in this population. Furthermore, higher levels of ACAG were found to be associated with increased risk of 30-day mortality in asthmatic patients. In addition, decision curve analysis (DCA) demonstrated that the net benefit of ACAG was greater than that of AG. These findings suggest that ACAG may be a valuable prognostic factor for predicting 30-day mortality in asthmatic patients in the ICU. Our study provides evidence that ACAG is associated with an increased risk of 30-d mortality and has better predictive value in patients with combined asthma who are admitted to the ICU than AG.
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Affiliation(s)
- Shidong Wang
- Department of Respiratory Medicine, Shaoxing Second Hospital, Shaoxing, China.
| | - Hong Teng
- Department of Respiratory Medicine, Shaoxing Second Hospital, Shaoxing, China
| | - Hongyan Han
- Department of Respiratory Medicine, Shaoxing Second Hospital, Shaoxing, China
| | - Yunjie Xu
- Department of Respiratory Medicine, Shaoxing Second Hospital, Shaoxing, China
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Lu J, Zhong L, Yuan M, Min J, Xu Y. Association between serum anion gap and all-cause mortality in patients with acute myocardial infarction: A retrospective study based on MIMIC-IV database. Heliyon 2023; 9:e17397. [PMID: 37539277 PMCID: PMC10395024 DOI: 10.1016/j.heliyon.2023.e17397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/13/2023] [Accepted: 06/15/2023] [Indexed: 08/05/2023] Open
Abstract
Background Although previous studies have reported that many biomarkers can determine the prognosis of patients with acute myocardial infarction (AMI), serum anion gap (AG) has not been well studied. We aimed to investigate the association between serum AG and mortality in patients with AMI. Methods Adult patients first admitted to the ICU and diagnosed with AMI from 2008 to 2019 in the MIMIC-IV database were included. Patients were divided into the survival and non-survival groups based on 30-day and 90-day outcomes. According to the AG value (15.12 mmol/L) with a hazard ratio of 1 in the restricted cubic spline (RCS) analysis, patients were further divided into high and low AG groups. The Kaplan-Meier survival curve was plotted, and all-cause mortality was compared between the high and low groups using the log-rank test. Multivariate Cox regression analysis and RCS analysis were constructed to assess the relationship between AG and recent all-cause mortality in patients with AMI. Results 4446 patients were enrolled. The 30-day and 90-day mortality rates in the high AG group (25.53%, 31.75%) were higher than that in the low AG group (9.73%, 14.01%, P < 0.001) independently. The Kaplan-Meier curve showed that the 30-day and 90-day cumulative survival rates were lower in the high AG group than that in the low AG group (P < 0.001). RCS analysis showed that there was a non-linear relationship between AG and the risk of 90-day all-cause mortality in patients with AMI (χ2 = 18.680 P < 0.001). When AG was 15.12 mmol/L, its HR was about 1. Multivariable Cox regression analysis confirmed that increased AG was associated with higher 30-day and 90-day mortality. Conclusion Elevated serum AG (≥15.12 mmol/L) is an independent predictor for short-term mortality in patients with AMI, and it may provide a basis for clinicians to identify patients with poor prognosis as early as possible.
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Affiliation(s)
- Jianhong Lu
- Department of Intensive Care Unit, Huzhou Central Hospital, Affiliated Huzhou Hospital, School of Medicine, Zhejiang University, Huzhou, 313000, China
| | - Lei Zhong
- Department of Intensive Care Unit, Huzhou Central Hospital, Affiliated Huzhou Hospital, School of Medicine, Zhejiang University, Huzhou, 313000, China
| | - Meng Yuan
- Department of Intensive Care Unit, Huzhou Central Hospital, Affiliated Huzhou Hospital, School of Medicine, Zhejiang University, Huzhou, 313000, China
| | - Jie Min
- Department of Intensive Care Unit, Huzhou Central Hospital, Affiliated Huzhou Hospital, School of Medicine, Zhejiang University, Huzhou, 313000, China
| | - Yin Xu
- Department of General Practice, Huzhou Central Hospital, Affiliated Huzhou Hospital, School of Medicine, Zhejiang University, China
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