scholarly journals Anion Gap Was Associated with Inhospital Mortality and Adverse Clinical Outcomes of Coronary Care Unit Patients

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Tienan Sun ◽  
Chenghui Cai ◽  
Hua Shen ◽  
Jiaqi Yang ◽  
Qianyun Guo ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Clinical Outcomes ◽  
Coronary Care Unit ◽  
Kidney Injury ◽  
Anion Gap ◽  
Independent Effect ◽  
Binary Logistic Regression Analysis ◽  
Inhospital Mortality ◽  
All Cause Mortality ◽  
Coronary Care

Background. Anion gap (AG) has been proved to be associated with prognosis of many cardiovascular diseases. This study is aimed at exploring the association of AG with inhospital all-cause mortality and adverse clinical outcomes in coronary care unit (CCU) patients. Method. All data of this study was extracted from Medical Information Mart for Intensive Care III (MIMIC-III, version 1.4) database. All patients were divided into four groups according to AG quartiles. Primary outcome was inhospital all-cause mortality. Lowess smoothing curve was drawn to describe the overall trend of inhospital mortality. Binary logistic regression analysis was performed to determine the independent effect of AG on inhospital mortality. Result. A total of 3593 patients were enrolled in this study. In unadjusted model, as AG quartiles increased, inhospital mortality increased significantly, OR increased stepwise from quartile 2 (OR, 95% CI: 1.01, 0.74-1.38, P=0.958) to quartile 4 (OR, 95% CI: 2.72, 2.08-3.55, P<0.001). After adjusting for possible confounding variables, this association was attenuated, but still remained statistically significant (quartile 1 vs. quartile 4: OR, 95% CI: 1.02, 0.72-1.45 vs. 1.49, 1.07-2.09, P=0.019). Moreover, CCU mortality (P<0.001) and rate of acute kidney injury (P<0.001) were proved to be higher in the highest AG quartiles. Length of CCU (P<0.001) and hospital stay (P<0.001) prolonged significantly in higher AG quartiles. Maximum sequential organ failure assessment score (SOFA) (P<0.001) and simplified acute physiology score II (SAPSII) (P<0.001) increased significantly as AG quartiles increased. Moderate predictive ability of AG on inhospital (AUC: 0.6291), CCU mortality (AUC: 0.6355), and acute kidney injury (AUC: 0.6096) was confirmed. The interactions were proved to be significant in hypercholesterolemia, congestive heart failure, chronic lung disease, respiratory failure, oral anticoagulants, Beta-blocks, angiotensin-converting enzyme inhibitor (ACEI)/angiotensin receptor blocker (ARB), and vasopressin treatment subgroups. Conclusion. AG was an independent risk factor of inhospital all-cause mortality and was associated with adverse clinical outcomes in CCU patients.

scholarly journals Acute Kidney Injury Biomarkers for Patients in a Coronary Care Unit: A Prospective Cohort Study

PLoS ONE ◽  
2012 ◽  
Vol 7 (2) ◽  
pp. e32328 ◽  
Author(s):  
Tien-Hsing Chen ◽  
Chih-Hsiang Chang ◽  
Chan-Yu Lin ◽  
Chang-Chyi Jenq ◽  
Ming-Yang Chang ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Cohort Study ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Coronary Care Unit ◽  
Kidney Injury ◽  
Coronary Care

scholarly journals Neutrophil Percentage to Albumin Ratio Was Associated with Clinical Outcomes in Coronary Care Unit Patients

2021 ◽  
Author(s):  
Chenghui Cai ◽  
Tienan Sun ◽  
Fang Zhao ◽  
Jun Ma ◽  
Xin Pei ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Hospital Mortality ◽  
Coronary Care Unit ◽  
Kidney Injury ◽  
Roc Curves ◽  
Albumin Ratio ◽  
Cumulative Survival ◽  
Kaplan Meier ◽  
Neutrophil Percentage ◽  
Coronary Care

Abstract Background: Neutrophil percentage to albumin ratio (NPAR) was proved to be correlated with the prognosis of a variety of diseases. The purpose of this study was to explore the effect of NPAR on the prognosis of coronary care unit (CCU) dpatients.Method: All data of this study was extracted from Medical Information Mart for Intensive Care III (MIMIC-III, version1.4) database. All patients were divided into four groups according to NPAR quartiles. Primary outcome was in-hospital mortality and secondary outcomes were 30-day mortality, 365-day mortality, length of CCU stay, length of hospital stay, acute kidney injury, renal replacement therapy. Multivariable binary logistic regression analysis was performed to confirm the independent effect of NPAR. Subgroup analysis was used to determine the effect of NPAR on in-hospital mortality in different subgroups. Receiver-operating characteristic (ROC) curves were applied to evaluate the ability of NPAR to predict in-hospital mortality. Kaplan–Meier curves were built to compare cumulative survival of different groups.Result: 2364 CCU patients were enrolled in this study. In-hospital mortality rate increased significantly as NPAR quartiles increased (P < 0.001). In multivariable logistic regression, NPAR was proved to be independently associated with in-hospital mortality (Quartile 4 vs Quartile 1: OR, 95% CI: 1.80, 1.19-2.72, P=0.005, P for trend = 0.001). Moderate ability of NPAR to predict in-hospital mortality was demonstrated through ROC curves, the AUC of NPAR was 0.653 (P<0.001), which is better than PLR (P<0.001), neutrophil (P<0.001) but lower than SOFA(P=0.046) and SAPS II (P<0.001). Subgroup analysis did not find obvious interaction in most subgroups. Moreover, Kaplan-Meier curves showed that as NPAR quartiles increased, 30-day (Log rank, P<0.001) and 365-day (Log rank, P<0.001) cumulative survival decreased significantly. NPAR was also proved to be independently associated with acute kidney injury (Quartile 4 vs Quartile 1: OR, 95% CI: 1.57, 1.19-2.07, P=0.002, P for trend = 0.001). Length of CCU and hospital stay were prolonged significantly in higher NPAR quartiles.Conclusion: NPAR was an independent risk factor of in-hospital mortality in CCU patients and had a moderate ability to predict in-hospital mortality.

scholarly journals SO017EFFECT OF HIGH-CUTOFF DIALYSIS FOR ACUTE KIDNEY INJURY SECONDARY TO CAST NEPHROPATHY IN PATIENTS WITH MULTIPLE MYELOMA: A SYSTEMATIC REVIEW AND META-ANALYSIS

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Blanca Tarragon ◽  
Nan Ye ◽  
Martin Gallagher ◽  
Shaundeep Sen ◽  
Jose' M Portoles ◽  
...  
Keyword(s):  
Systematic Review ◽  
Multiple Myeloma ◽  
Acute Kidney Injury ◽  
Clinical Outcomes ◽  
Observational Studies ◽  
Meta Analysis ◽  
Kidney Injury ◽  
Controlled Trials ◽  
Cast Nephropathy ◽  
All Cause Mortality

Abstract Background and Aims The incidence of multiple myeloma (MM) is increasing. Abnormal secretion of serum free light chains (sFLC) can lead to cast nephropathy and severe acute kidney injury (AKI) requiring haemodialysis (HD), which is associated with increased morbidity and mortality. High cut-off (HCO) HD membranes demonstrate better sFLC clearance. However, their role in all-cause mortality and renal recovery remains uncertain. Method A systematic review and meta-analysis was performed examining all randomized controlled trials (RCTs) and observational studies assessing the effect of high cut-off HD compared to conventional HD on clinical outcomes of patients with MM complicated by cast nephropathy induced-severe AKI. Medline, EMBASE, and the Cochrane Central Register of Controlled Trials were searched until September 2019. The primary outcome was all-cause mortality at the end of the study. The secondary outcomes included all-cause mortality at 12 months, haemodialysis independence at 3, 6 and 12 months, biopsy-proven haematologic responses at 90 days and sFLC (kappa and lambda) reduction. Random effect models were used to pool relative risks (RR) with 95% confidence intervals (CIs) for individual studies. Results The search identified 5 studies including 276 patients with a mean follow-up of 18.7 months. There were 2 RCTs and 3 retrospective cohort studies. Compared with patients treated with conventional HD, patients on HCO dialysis did not show survival benefits at 12 months (4 studies, 186 patients, RR 0.79; 95% CI 0.46-1.36), or at the end of the study (5 studies, 276 patients, RR 0.86; 95% CI 0.60-1.25). Although survival benefits at the end of study (3 studies, 88 patients, RR 0.64; 95% CI 0.45-0.90) were seen in observational studies, no differences in all-cause mortality was seen in RCTs (2 studies, 188 patients, RR 1.31; 95% CI 0.50-3.46). Likewise, although the pooled data from the observational studies demonstrated significantly higher rates of HD independence at 90 days (2 trials, 78 patients, RR 2.23; 95% CI 1.09-4.55), this difference disappeared when the data from RCTs were included to the analysis (4 studies, 266 patients, RR 1.28; 95% CI 0.95-1.73).  There was no difference in HD Independence at 6 months (2 studies, 188 patients, RR 1.19; 95% CI 0.68-2.06), and 12 months (2 studies, 188 patients, RR 1.14; 95% CI 0.58-2.26) between these two therapies. Patients receiving HCO dialysis, however, had significantly better biopsy-proven haematologic response at 90 days by 40% (3 studies, 176 patients, RR 1,40; 95% CI 1.13-1.74) and a significantly higher kappa light chain reduction (2 studies, 188 patients, standardized mean difference (SMD) 2.37; 95% CI 1.99-2.75; I2 = 0%). Overall, the majority of the studies were of suboptimal quality and underpowered. Conclusion Current evidence from RCTs and observational studies suggest HCO dialysis provides haematological benefits but makes no significant improvement in all-cause mortality and renal outcomes, compared to conventional HD for patients with multiple myeloma associated cast nephropathy. However, there is a trend towards better renal outcomes, therefore further large-scale RCTs are needed to assess the effect of HCO dialysis on clinical outcomes in patients with multiple myeloma complicated by cast-nephropathy.

scholarly journals 070 ACUTE KIDNEY INJURY IN CORONARY CARE UNIT: PREVALENCE, AETIOLOGIES AND OUTCOMES

2017 ◽  
Vol 2 (4) ◽  
pp. S34
Author(s):  
M.H. Tan ◽  
S.K. Glendon Lau ◽  
W.H. Han ◽  
N.T. Ross ◽  
R. Visvanathan ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Coronary Care Unit ◽  
Kidney Injury ◽  
Coronary Care

scholarly journals Serum Anion Gap Predicts All-Cause Mortality in Critically Ill Patients with Acute Kidney Injury: Analysis of the MIMIC-III Database

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Bihuan Cheng ◽  
Diwen Li ◽  
Yuqiang Gong ◽  
Binyu Ying ◽  
Benji Wang
Keyword(s):  
Acute Kidney Injury ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Kidney Injury ◽  
Cox Proportional Hazards ◽  
Anion Gap ◽  
Increased Risk ◽  
All Cause Mortality ◽  
The Relationship ◽  
Mimic Iii

Background. No epidemiological study has investigated the effect of anion gap (AG) on the prognosis of critically ill patients with acute kidney injury (AKI). Therefore, we aimed to determine the association between serum AG and all-cause mortality in these patients. Methods. From MIMIC III, we extracted demographics, vital signs, laboratory tests, comorbidities, and scoring systems from the first 24 h after patient ICU admission. A generalized additive model was used to identify a nonlinear association between anion gap and 30-day all-cause mortality. We also used the Cox proportional hazards models to measure the association between AG levels and 30-day, 90-day, and 365-day mortality in patients with AKI. Results. A total of 11,573 eligible subjects were extracted from the MIMIC-III. The relationship between AG levels and 30-day all-cause mortality in patients with AKI was nonlinear, with a U-shaped curve. In multivariate analysis, after adjusting for potential confounders, higher AG was a significant predictor of 30-day, 90-day, and 365-day all-cause mortality compared with lower AG (HR, 95% CI: 1.54, 1.33–1.75; 1.55, 1.38–1.73; 1.46, 1.31–1.60). Conclusions. The relationship between AG levels and 30-day all-cause mortality described a U-shaped curve. High-AG levels were associated with increased risk 30-day, 90-day, and 365-day all-cause mortality in critically ill patients with AKI.

scholarly journals Acute kidney disease and acute kidney injury biomarkers in coronary care unit patients

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Yih-Ting Chen ◽  
Chang-Chyi Jenq ◽  
Cheng-Kai Hsu ◽  
Yi-Ching Yu ◽  
Chih-Hsiang Chang ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Kidney Disease ◽  
Coronary Care Unit ◽  
Kidney Injury ◽  
Acute Kidney Disease ◽  
Coronary Care

scholarly journals Adverse clinical outcomes associated with RAAS inhibitor discontinuation: analysis of over 400 000 patients from the UK Clinical Practice Research Datalink (CPRD)

2021 ◽  
Author(s):  
Toby J L Humphrey ◽  
Glen James ◽  
Eric T Wittbrodt ◽  
Donna Zarzuela ◽  
Thomas F Hiemstra
Keyword(s):  
Heart Failure ◽  
Acute Kidney Injury ◽  
Clinical Practice ◽  
Clinical Outcomes ◽  
Kidney Injury ◽  
Practice Research ◽  
Clinical Practice Research Datalink ◽  
Ckd Stage ◽  
First Occurrence ◽  
Baseline Characteristics

Abstract Background Users of guideline-recommended renin–angiotensin–aldosterone system (RAAS) inhibitors may experience disruptions to their treatment, e.g. due to hyperkalaemia, hypotension or acute kidney injury. The risks associated with treatment disruption have not been comprehensively assessed; therefore, we evaluated the risk of adverse clinical outcomes in RAAS inhibitor users experiencing treatment disruptions in a large population-wide database. Methods This exploratory, retrospective analysis utilized data from the UK’s Clinical Practice Research Datalink, linked to Hospital Episodes Statistics and the Office for National Statistics databases. Adults (≥18 years) with first RAAS inhibitor use (defined as angiotensin-converting enzyme inhibitors or angiotensin receptor blockers) between 1 January 2009 and 31 December 2014 were eligible for inclusion. Time to the first occurrence of adverse clinical outcomes [all-cause mortality, all-cause hospitalization, cardiac arrhythmia, heart failure hospitalization, cardiac arrest, advancement in chronic kidney disease (CKD) stage and acute kidney injury] was compared between RAAS inhibitor users with and without interruptions or cessations to treatment during follow-up. Associations between baseline characteristics and adverse clinical outcomes were also assessed. Results Among 434 027 RAAS inhibitor users, the risk of the first occurrence of all clinical outcomes, except advancement in CKD stage, was 8–75% lower in patients without interruptions or cessations versus patients with interruptions/cessations. Baseline characteristics independently associated with increased risk of clinical outcomes included increasing age, smoking, CKD, diabetes and heart failure. Conclusions These findings highlight the need for effective management of factors associated with RAAS inhibitor interruptions or cessations in patients for whom guideline-recommended RAAS inhibitor treatment is indicated.

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