Prognostic Implications of Serum Albumin Levels in Patients With Acute Coronary Syndromes

Uric acid to albumin ratio as a novel predictor for coronary slow flow phenomenon in patients with chronic coronary syndrome and non-obstructive coronary arteries

BACKGROUND

The plasma uric acid to albumin ratio (UAR) is considered as a novel indicator for Inflammation. However, the association between UAR and coronary slow flow phenomenon (CSFP) remains unclear.

METHODS

A total of 1328 individuals with chronic coronary syndrome (CCS) receiving coronary angiography (CAG) and found no obvious obstructive stenosis (< 40%) were included in this study. 79 individuals developed CSFP and were divided into CSFP group. The 1:2 age-matched patients with normal coronary blood flow were allocated to the control group (n = 158). The clinical characteristics, laboratory parameters including uric acid, albumin ratio, UAR and the angiographic characteristics were compared between the two groups.

RESULTS

Patients with CSFP had a higher level of uric acid (392.3 ± 85.3 vs. 273.8 ± 71.5, P < 0.001), UAR (10.7 ± 2.2 vs. 7.2 ± 1.9, P < 0.001), but a lower level of plasma albumin (36.9 ± 4.2 vs. 38.5 ± 3.6, P = 0.003). Moreover, UAR increased as the numbers of vessels involved in CSFP increased. The logistic regression analysis demonstrated that UAR was independent predictors for CSFP. The Receiver operating characteristic (ROC) curve analysis showed that when UAR was more than 7.9, the AUC was 0.883 (95% CI: 0.840-0.927, p < 0.001), with the sensitivity and specificity were 78.2% and 88.2% respectively.

CONCLUSION

Combined uric acid with plasma albumin, UAR could serve as an independent predictor for CSFP.

Hypoalbuminaemia and heart failure: A practical review of current evidence

Hypoalbuminaemia (serum albumin levels ≤3.5 g/dl) is associated with poor outcomes among patients with heart failure (HF). This narrative review includes original articles and reviews published over the past 20 years and retrieved from PubMed using the following search terms (or their combination): 'heart failure', 'hypoalbuminaemia', 'heart failure with reduced ejection fraction', 'heart failure with preserved ejection fraction', 'all-cause mortality', 'in-hospital mortality', 'hospitalization', 'prognosis'. The aims of this review are to provide an overview on the prevalence of hypoalbuminaemia in HF, its impact on clinical outcomes, and potential mechanisms that may suggest future therapeutic strategies. Hypoalbuminaemia is frequent in HF patients, especially among the elderly. However, data about the exact epidemiology of hypoalbuminaemia are scant due to different definitions, and prevalence is estimated between 5% and 70% across the whole spectrum of ejection fraction. Current evidence points to hypoalbuminaemia as a marker of poor outcomes in HF, irrespective of the ejection fraction, and in other cardiovascular diseases. Among patients who suffered from acute coronary syndrome, those with hypoalbuminaemia had an increased risk of new-onset HF and in-hospital mortality. Albumin, however, might also play a role in the natural history of such diseases due to its antioxidant, anti-inflammatory, and antithrombotic properties. Whether albumin supplementation or nutritional support in general would be beneficial in improving clinical outcomes in HF is not completely clear and should be evaluated in adequately designed studies.

Importance of reassessment to identify trajectories of chronic transition of clinical indicators in post-myocardial infarction management

Despite advances in multidisciplinary acute care for myocardial infarction (MI), the clinical need to manage heart failure and elevated mortality risks in the remote phase of MI remains unmet. Various prognostic models have been established using clinical indicators obtained during the acute phase of MI; however, most of these indicators also show chronic changes in the post-MI phase. Although relevant guidelines recommend follow-up assessments of some clinical indicators in the chronic phase, systematic reassessment has not yet been fully established and implemented in a real-world clinical setting. Therefore, clinical evidence of the impact of such chronic transitions on the post-MI prognosis is lacking. We speculate that post-MI reassessment of key clinical indicators and the impact of their chronic transition patterns on long-term prognoses can improve the quality of post-MI risk stratification and help identify residual risk factors. Several recent studies have investigated the impact of the chronic transition of some clinical indicators, such as serum albumin level, mitral regurgitation, and left-ventricular dysfunction, on post-MI prognosis. Interestingly, even in MI survivors with these indicators within their respective normal ranges in the acute phase of MI, chronic transition to an abnormal range was associated with worsening cardiovascular outcomes. On the basis of these recent insights, we discuss the clinical significance of post-MI reassessment to identify the trajectories of several clinical indicators and elucidate the potential residual risk factors affecting adverse outcomes in MI survivors.

Which one predicts mortality better in acute ischemic stroke: negative vs positive acute-phase reactants

AIM

The aim of the study is to investigate the relationship between negative acute-phase reactants and positive acute-phase reactants with in-hospital mortality in patients diagnosed with acute ischemic stroke (AIS) in the emergency department (ED).

METHODS AND MATERIALS

Patients aged 18 and older who presented to the ED of a tertiary hospital with AIS were included in the study. Demographic and clinical characteristics, laboratory parameters, acute-phase reactants, National Institutes of Health Stroke Scale (NIHSS), and outcome data of the included patients were recorded on a standard data form.

RESULTS

A total of 588 patients were included in the study. When the in-hospital mortality of patients was examined, the mortality rate was 17.7%. In the analysis for predicting mortality, it was determined that albumin had the highest predictive power between the area under the curve (AUC) and the determined predictive values (AUC: 0.759, 95% CI 0.707-0.810, p < 0.001). The analyses of the study data revealed that albumin (<0.001) and TF (p = 0.049), which are negative acute-phase reactants, were independent predictors of mortality. According to our study data, in patients with AIS, for each unit decrease in albumin level at the time of ED admission, the risk of mortality increased by 0.868 times, and for each unit decrease in TF level, the risk of mortality increased by 0.593 times.

CONCLUSION

According to the study data, albumin and TF levels, which are negative acute-phase reactants, are independent determinants of in-hospital mortality in patients with acute ischemic stroke in the emergency department.

Serum Albumin-to-Creatinine Ratio: A Novel Predictor of Pulmonary Infection in Patients with ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention

AIM

In patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI), a low serum albumin-to-creatinine ratio (sACR) is associated with elevated risk of poor short- and long-term outcomes. However, the relationship between sACR and pulmonary infection during hospitalization in patients with STEMI undergoing PCI remains unclear.

METHODS

A total of 4,507 patients with STEMI undergoing PCI were enrolled and divided into three groups according to sACR tertile. The primary outcome was pulmonary infection during hospitalization, and the secondary outcome was in-hospital major adverse cardiovascular events (MACE) including stroke, in-hospital mortality, target vessel revascularization, recurrent myocardial infarction, and all-cause mortality during follow-up.

RESULTS

Overall, 522 (11.6%) patients developed pulmonary infections, and 223 (4.9%) patients developed in-hospital MACE. Cubic spline models indicated a non-linear, L-shaped relationship between sACR and pulmonary infection (P=0.039). Receiver operating characteristic curve analysis indicated that sACR had good predictive value for both pulmonary infection (area under the ROC curve [AUC]=0.73, 95% CI=0.70-0.75, P＜0.001) and in-hospital MACE (AUC=0.72, 95% CI=0.69-0.76, P＜0.001). Kaplan-Meier survival analysis indicated that higher sACR tertiles were associated with a greater cumulative survival rate (P＜0.001). Cox regression analysis identified lower sACR as an independent predictor of long-term all-cause mortality (hazard ratio [HR]=0.96, 95% CI=0.95-0.98, P＜0.001).

CONCLUSIONS

A low sACR was significantly associated with elevated risk of pulmonary infection and MACE during hospitalization, as well as all-cause mortality during follow-up among patients with STEMI undergoing PCI. These findings highlighted sACR as an important prognostic marker in this patient population.

Prognostic value of serum albumin to creatinine ratio in patients undergoing carotid artery stenting

BACKGROUND

We aimed to investigate the prognostic value of serum albumin-to-creatinine ratio (sACR) in carotid artery stenting (CAS) patients regarding in-hospital and 5-year outcomes.

METHODS

This is a retrospective study. Baseline characteristics were compared between patients by admission albumin to creatinine ratio and categorized accordingly: T1, T2 and T3. 609 patients were included in the study. Serum albumin and creatinine levels at hospital admission were used to calculate the sACR. The primary endpoint was all-cause mortality. MACE consisted of stroke, transient ischemic attack (TIA), myocardial infarction (MI) and death. All follow-up data were obtained from electronic medical records or by interview. The study was terminated after 60 months of follow-up.

RESULTS

Serum albumin levels were found to be significantly lower in T1, while creatinine was found to be significantly higher in T1. T1 has the lowest sACR while T3 has the highest. In hospital, ipsilateral stroke, major stroke, MI and death were significantly higher in T1. In long-term outcomes, ipsilateral stroke, major stroke, and death were significantly higher in T1.

CONCLUSIONS

Low sACR values at hospital admission was independently associated with in-hospital and long-term mortality and major stroke in patients underwent CAS.

Combined Serum Albumin and Left Ventricular Ejection Fraction Predict All-Cause Death in Patients with Stable Coronary Artery Disease

Objective

To explore the feasibility of serum albumin (Alb) and left ventricular ejection fraction (LVEF) in predicting all-cause death (ACD) in patients with stable coronary artery disease (SCAD).

Methods

Patients with SCAD were divided into 4 groups according to their Alb and LVEF levels: Group A: Alb ≤4 g/dL and LVEF > 50%; Group B: Alb ≤4 g/dL and LVEF ≤50%; Group C: Alb >4 g/dL and LVEF ≤50%; Group D: Alb >4 g/dL and LVEF >50%. The K-M curve and log-rank test were used to compare ACD among the four groups over three years. Receiver operating characteristic (ROC) curves were used to compare the efficacy of predicting ACD among the combination of Alb and LVEF and either Alb or LVEF alone. Cox regression analysis identified the influencing factors of ACD in patients with SCAD and detected the correlation between Alb and LVEF.

Results

ACD occurred in 18 (8.9%) of 203 patients with SCAD, with an average follow-up of 26.53 ± 14.34 months. In the Kaplan‒Meier analysis, the risk of ACD in the four groups ranged from high to low: Group B (17.6%) > Group A (26.7%) > Group D (0.9%) > Group C (0%, P < 0.001). The ROC curve showed that the combination of Alb and LVEF (AUC = 0.888) had better predictive value for ACD than either Alb (AUC = 0.879) or LVEF alone (AUC = 0.651), P < 0.001. Multivariate Cox regression analysis showed that Alb ≤4 g/dL predicted ACD events after adjusting for baseline (HR: 12.16, 95% CI: 1.57 to 94.41; P=0.017) and treatment (HR: 19.36, 95% CI: 2.53-147.78, P=0.004). Alb was positively correlated with LVEF (r = 0.22, P=0.002).

Conclusions

Alb combined with LVEF is more effective than a single index in predicting ACD in SCAD and could be used as a new model to judge the prognosis of SCAD.

Association between alkaline phosphatase to albumin ratio and mortality among patients with sepsis

The alkaline phosphatase-to-albumin ratio (APAR) is correlated to worse prognosis in coronary artery disease, cancer, and acute renal failure. However, the relationship between APAR and sepsis prognosis has received little research. The content of this research was to investigate the prognostic relationship between APAR and sepsis. And validate the stability of the correlation in 90-days and 1-year mortality. Retrospective cohort research was conducted basing MIMIC-IV database (version 2.0). The hazard ratio (HR) and 95% confidence interval (Cl) were computed using multivariate Cox regression analysis. In addition, plots of survival curves and subgroup analyzes were conducted. Receiver operating characteristic (ROC) curves were also used. 9741 participants were included in this investigation. The 90-days mortality was 32.8%, and the 1-year mortality was 42.0%. After controlling for confounders, the adjusted HRs (95% CI) for tertile 2 (2.2-3.8) and tertile 3 (> 3.8) were 1.37 (1.25-1.51) and 1.74 (1.58-1.91), respectively. The Kaplan-Meier curve analysis showed a higher probability of 90-days death in the higher APAR group. The area under the curve (AUC) of APAR was 0.674 and could reach 0.709 after combining the Oxford Acute Severity of Illness Score (OASIS). This study demonstrates that APAR is significantly related to bad clinical outcomes in sepsis.

The neutrophil percentage-to-albumin ratio is associated with all-cause mortality in patients with chronic heart failure

BACKGROUND

In this study, we evaluated the predictive utility of neutrophil percentage-to-albumin ratio (NPAR) for all-cause mortality in patients with chronic heart failure (CHF).

METHODS

Patients diagnosed as CHF enrolled in this retrospective cohort study were from Beijing Chaoyang Hospital, capital medical university. Admission NPAR was calculated as neutrophil percentage divided by serum albumin. The endpoints of this study were defined as 90-day, 1-year and 2-year all-cause mortality. Multivariable Cox proportional hazard regression model was performed to confirm the association between NPAR and all-cause mortality. Receiver operating characteristics (ROC) curves were used to evaluate the ability for NPAR to predict all-cause mortality.

RESULTS

The 90-day (P = 0.009), 1-year (P < 0.001) and 2-year (P < 0.001) all-cause mortality in 622 patients with CHF were increased as admission NPAR increased. Multivariable Cox regression analysis found the higher NPAR value was still independently associated with increased risk of 90-day (Group III versus Group I: HR, 95% CI: 2.21, 1.01-4.86, P trend = 0.038), 1-year (Group III versus Group I: HR, 95% CI:2.13, 1.30-3.49, P trend = 0.003), and 2-year all-cause mortality (Group III versus Group I: HR, 95% CI:2.06, 1.37-3.09, P trend = 0.001), after adjustments for several confounders. ROC curves revealed that NPAR had a better ability to predict all-cause mortality in patients with CHF, than either albumin or the neutrophil percentage alone.

CONCLUSIONS

NPAR was independently correlated with 90-day, 1-year, and 2-year all-cause mortality in patients with CHF.

Multiple cardiometabolic diseases enhance the adverse effects of hypoalbuminemia on mortality among centenarians in China: a cohort study

BACKGROUND

Although hypoalbuminemia was associated with high risk of mortality in community-dwelling older adults, as well as in the hospitalized older adults, little is known among centenarians. And there are limited data on whether having cardiometabolic diseases (CMDs) is associated with additive effects.

METHODS

Baseline examinations including a determination of albumin levels were performed in 1002 Chinese centenarians from January 2014 through to December 2016, and the survival status was subsequently ascertained until 31 May 2021. Cox proportional risk model was performed to assess the risk of all-cause mortality associated with albumin levels and hypoalbuminemia combined with CMDs.

RESULTS

Of 1002 participants included in the analysis, the mean level of albumin was 38.5 g/L (± standard deviation, 4.0 g/L), and 174 (17.4%) had hypoalbuminemia (albumin < 35 g/L). The multivariable analyses showed that albumin level was negatively associated with all-cause mortality (Ptrend < 0.05). Compared to normoalbuminemia, hypoalbuminemia was associated with an increased mortality risk in the overall participants (hazard ratio [HR]: 1.55, 95% confidence interval [CI]: 1.22-1.97). Furthermore, the HR (95% CI) of hypoalbuminemia combined with multiple CMDs was 2.15 (1.14-4.07). There was evidence of an additive deleterious dose effect of an increasing number of CMDs (Ptrend = 0.001).

CONCLUSIONS

Hypoalbuminemia is associated with an increased risk of all-cause mortality in Chinese centenarians, and this risk is more pronounced among centenarians with multiple cardiometabolic diseases. Our findings suggest that older adults with hypoalbuminemia, especially comorbid multiple CMDs warrant early identification and management.

Association of Hypoalbuminemia With Clinical Outcomes in Patients Admitted With Acute Heart Failure

Albumin is a protein produced by the liver essential for maintaining blood volume and regulating fluid balance. Hypoalbuminemia is characterized by low levels of albumin in the blood. It is also a marker of malnutrition-inflammatory syndrome. Several studies have demonstrated its prognostic role in patients with chronic heart failure; however, data regarding hypoalbuminemia in acute heart failure admissions are scarce. This study aims to analyze the relationship between hypoalbuminemia and heart failure. We used a retrospective cohort study surveying data from the 2016-2018 combined National Inpatient Sample (NIS) database. Adult hospitalizations for heart failure patients were identified using the ICD-10 codes, stratified into cohorts with and without hypoalbuminemia. Primary outcomes were (1) in-patient mortality, (2) length of stay, and total hospital charge. We also reclassified the HF admissions with hypoalbuminemia to those with systolic or diastolic heart failure to compare any differences in mortality and other in-patient complications. Multivariate linear and logistic regression were used to adjust for confounders and to analyze the outcomes. There were 1,365,529 adult hospitalizations for Congestive Heart Failure (CHF), and among them 1,205,990 (88 %) had secondary diagnoses of hypoalbuminemia. Patients with comorbid hypoalbuminemia were, on average, 8 years older (P < 0.001), predominantly white race, and males (P-value <0.001). HF hospitalizations with hypoalbuminemia had double in-hospital mortality than those without (4.8% vs 2.7%, P < 0.001). However, there was no difference in mortality between patients with Systolic heart failure and Diastolic heart failure with concomitant low albumin levels (from 4.9 % vs 4.7%, P 0.13). We found that patients admitted with HF and concomitant Hypoalbuminemia (HA) had nearly twice the odds of in-patient mortality than those with normal albumin levels. The Length of Stay (LOS) was higher between comparison groups. THC remained statistically indifferent in patients regardless of albumin levels but was greater in hypoalbuminemic patients with Systolic heart failure than Diastolic heart failure ones.

Association between lactate/albumin ratio and all-cause mortality in critical patients with acute myocardial infarction

It has been demonstrated that lactate/albumin (L/A) ratio is substantially relevant to the prognosis of sepsis, septic shock, and heart failure. However, there is still debate regarding the connection between the L/A ratio and severe acute myocardial infarction (AMI). The aim of this study is to determine the prognostic role of L/A ratio in patients with severe AMI. Our retrospective study extracted data from the Medical Information Mart for Intensive Care III (MIMIC-III) database, included 1,134 patients diagnosed with AMI. Based on the tertiles of L/A ratio, the patients were divided into three groups: Tertile1 (T1) group (L/A ratio<0.4063, n=379), Tertile2 (T2) group (0.4063≤L/A ratio≤0.6667, n =379), and Tertile3 (T3) group (L/A ratio>0.6667, n =376). Uni- and multivariate COX regression model were used to analyze the relationship between L/A ratio and 14-day, 28-day and 90-day all-cause mortality. Meanwhile, the restricted cubic spline (RCS) model was used to evaluate the effect of L/A ratio as a continuous variable. Higher mortality was observed in AMI patients with higher L/A ratio. Multivariate Cox proportional risk model validated the independent association of L/A ratio with 14-day all-cause mortality [hazard ratio (HR) 1.813, 95% confidence interval (CI) 1.041-3.156 (T3 vs T1 group)], 28-day all-cause mortality [HR 1.725, 95% CI 1.035-2.874 (T2 vs T1 group), HR 1.991, 95% CI 1.214-3.266 (T3 vs T1 group)], as well as 90-day all-cause mortality [HR 1.934, 95% CI 1.176-3.183 (T2 vs T1 group), HR 2.307, 95% CI 1.426-3.733 (T3 vs T1 group)]. There was a consistent trend in subgroup analysis. The Kaplan-Meier (K-M) survival curves indicated that patients with L/A ratio>0.6667 had the highest mortality. Even after adjusting the confounding factors, RCS curves revealed a nearly linearity between L/A ratio and 14-day, 28-day and 90-day all-cause mortality. Meanwhile, the areas under the receiver operating characteristic (ROC) curve (AUC) of 14-day, 28-day and 90-day all-cause mortality were 0.730, 0.725 and 0.730, respectively. L/A ratio was significantly associated with 14-day, 28-day and 90-day all-cause mortality in critical patients with AMI. Higher L/A ratio will be considered an independent risk factor for higher mortality in AMI patients.

Association between admission-blood-glucose-to-albumin ratio and clinical outcomes in patients with ST-elevation myocardial infarction undergoing percutaneous coronary intervention

Introduction

It is unclear whether admission-blood-glucose-to-albumin ratio (AAR) predicts adverse clinical outcomes in patients with ST-segment elevation myocardial infarction (STEMI) who are treated with percutaneous coronary intervention (PCI). Here, we performed a observational study to explore the predictive value of AAR on clinical outcomes.

Methods

Patients diagnosed with STEMI who underwent PCI between January 2010 and February 2020 were enrolled in the study. The patients were classified into three groups according to AAR tertile. The primary outcome was in-hospital all-cause mortality, and the secondary outcomes were in-hospital major adverse cardiac events (MACEs), as well as all-cause mortality and MACEs during follow-up. Logistic regression, Kaplan-Meier analysis, and Cox proportional hazard regression were the primary analyses used to estimate outcomes.

Results

Among the 3,224 enrolled patients, there were 130 cases of in-hospital all-cause mortality (3.9%) and 181 patients (5.4%) experienced MACEs. After adjustment for covariates, multivariate analysis demonstrated that an increase in AAR was associated with an increased risk of in-hospital all-cause mortality [adjusted odds ratio (OR): 2.72, 95% CI: 1.47-5.03, P = 0.001] and MACEs (adjusted OR: 1.91, 95% CI: 1.18-3.10, P = 0.009), as well as long-term all-cause mortality [adjusted hazard ratio (HR): 1.64, 95% CI: 1.19-2.28, P = 0.003] and MACEs (adjusted HR: 1.58, 95% CI: 1.16-2.14, P = 0.003). Receiver operating characteristic (ROC) curve analysis indicated that AAR was an accurate predictor of in-hospital all-cause mortality (AUC = 0.718, 95% CI: 0.675-0.761) and MACEs (AUC = 0.672, 95% CI: 0.631-0.712).

Discussion

AAR is a novel and convenient independent predictor of all-cause mortality and MACEs, both in-hospital and long-term, for STEMI patients receiving PCI.

C-Reactive Protein: The Quintessential Marker of Systemic Inflammation in Coronary Artery Disease-Advancing toward Precision Medicine

Atherosclerotic cardiovascular disease (CVD) remains the leading cause of mortality worldwide. While conventional risk factors have been studied and managed, CVD continues to pose a global threat. Risk scoring systems based on these factors have been developed to predict acute coronary syndromes and guide therapeutic interventions. However, traditional risk algorithms may not fully capture the complexities of individual patients. Recent research highlights the role of inflammation, particularly chronic low-grade inflammation, in the pathogenesis of coronary artery disease (CAD). C-reactive protein (CRP) is an inflammatory molecule that has demonstrated value as a predictive marker for cardiovascular risk assessment, both independently and in conjunction with other parameters. It has been incorporated into risk assessment algorithms, enhancing risk prediction and guiding therapeutic decisions. Pharmacological interventions with anti-inflammatory properties, such as statins, glucagon-like peptide-1 agonists, and interleukin-1 inhibitors, have shown promising effects in reducing both cardiovascular risks and CRP levels. This manuscript provides a comprehensive review of CRP as a marker of systemic inflammation in CAD. By exploring the current knowledge surrounding CRP and its implications for risk prediction and therapeutic interventions, this review contributes to the advancement of personalized cardiology and the optimization of patient care.

Diagnostic Performance of Serum MicroRNAs for ST-Segment Elevation Myocardial Infarction in the Emergency Department

Prompt diagnosis of ST-segment elevation myocardial infarction (STEMI) is essential for initiating timely treatment. MicroRNAs have recently emerged as biomarkers in cardiovascular diseases. This study aimed to evaluate the discriminatory capacity of serum microRNAs in identifying an ischemic origin in patients presenting with chest discomfort to the Emergency Department. The study included 98 participants (78 with STEMI and 20 with nonischemic chest discomfort). Significant differences in the expression levels of miR-133b, miR-126, and miR-155 (but not miR-1, miR-208, and miR-208b) were observed between groups. miR-133b and miR-155 exhibited 97% and 93% sensitivity in identifying STEMI patients, respectively. miR-126 demonstrated a specificity of 90% in identifying STEMI patients. No significant associations were found between microRNAs and occurrence of major adverse cardiovascular events (MACE). However, patients with MACE had higher levels of interleukin (IL)-15, IL-21, IFN-γ-induced protein-10, and N-terminal pro B-type natriuretic peptide compared to non-MACE patients. Overall, there were significant associations among the expression levels of microRNAs. However, microRNAs did not demonstrate associations with either inflammatory markers or cardiovascular risk scores. This study highlights the potential of microRNAs, particularly miR-133b and miR-126, as diagnostic biomarkers for distinguishing patients with STEMI from those presenting with nonischemic chest discomfort to the Emergency Department.

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

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.

Does Albumin Predict the Risk of Mortality in Patients with Cardiogenic Shock?

This study investigates the prognostic impact of albumin levels in patients with cardiogenic shock (CS). Intensive care unit (ICU) related mortality in CS patients remains unacceptably high despite improvement concerning the treatment of CS patients. Limited data regarding the prognostic value of albumin in patients with CS is available. All consecutive patients with CS from 2019 to 2021 were included at one institution. Laboratory values were retrieved from the day of disease onset (day 1) and days 2, 3, 4, and 8 thereafter. The prognostic impact of albumin was tested for 30-day all-cause mortality. Moreover, the prognostic performance of albumin decline during ICU treatment was examined. Statistical analyses included univariable t-test, Spearman's correlation, Kaplan-Meier analyses, multivariable mixed analysis of variance (ANOVA), C-Statistics, and Cox proportional regression analyses. In total, 230 CS patients were included, with an overall all-cause mortality at 30 days of 54%. The median albumin on day 1 was 30.0 g/L. Albumin on day 1 was able to discriminate between 30-day survivors and non-survivors (area under the curve (AUC) 0.607; 0.535-0.680; p = 0.005). CS patients with albumin < 30.0 g/L were associated with an increased risk of 30-day all-cause mortality (63% vs. 46%; log-rank p = 0.016; HR = 1.517; 95% CI 1.063-2.164; p = 0.021), which was demonstrated even after multivariable adjustment. Moreover, a decrease of albumin levels by ≥20% from day 1 to day 3 was accompanied by a higher risk of 30-days all-cause mortality (56% vs. 39%; log-rank p = 0.036; HR = 1.645; 95% CI 1.014-2.669; p = 0.044). Especially when combined with lactate, creatinine, and cardiac troponin I, reliable discrimination of 30-day all-cause mortality was observed, including albumin in CS risk stratification models (AUC = 0.745; 95% CI 0.677-0.814; p = 0.001). In conclusion, low baseline albumin levels as well as a decay of albumin levels during the course of ICU treatment, deteriorate prognostic outcomes in CS patients. The additional assessment of albumin levels may further improve risk stratification in CS patients.

Predictive impact of fibrinogen-to-albumin ratio (FAR) for left ventricular dysfunction in acute coronary syndrome: a cross-sectional study

BACKGROUND

The significantly prognostic value of fibrinogen-to-albumin ratio (FAR) has been proved in patients with coronary artery disease and different oncologic disorders. This study aimed to investigate the predictive value of FAR for left ventricular systolic dysfunction (LVSD) in acute coronary syndromes (ACS) patients.

METHODS

A total of 650 ACS patients after percutaneous coronary intervention (PCI) were eventually enrolled in the analysis. Participants were classified into three groups according to baseline FAR levels (T1: FAR < 73.00; T2: 73.00 ≤ FAR < 91.00; T3: FAR ≥ 91.00). The association between FAR and LVSD was assessed by binary logistic regression analysis. A nomogram to predict the risk of LVSD was constructed based on the output indices from multivariate regression analyses.

RESULTS

Patients with LVSD showed significantly higher FAR, monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) than those without. FAR was an independent predictor of left ventricular dysfunction from the multivariate analyses (OR, 1.038; 95%CI, 1.020-1.057; P < 0.001). The area under receiver operating characteristic curve (AUC) of FAR predicting the occurrence of LVSD was 0.735. Meanwhile, FAR was the most powerful predictor than MLR, NLR, and PLR. Nomogram with the AUC reaching 0.906 showed a robust discrimination.

CONCLUSIONS

Admission FAR is independently and significantly associated with LVSD in patients with ACS undergoing PCI.

A novel inflammatory biomarker, high-sensitivity C-reactive protein-to-albumin ratio, is associated with 5-year outcomes in patients with type 2 diabetes who undergo percutaneous coronary intervention

BACKGROUND

Patients with coronary artery disease (CAD) combined with diabetes have a higher risk of cardiovascular events, and high-sensitivity C-reactive protein (hs-CRP)-to-albumin ratio (CAR) is a novel inflammatory biomarker. However, whether the CAR can identify high-risk patients with CAD and type 2 diabetes (T2DM) remains unclear.

METHODS

The present study was based on a prospective and observational cohort with 10,724 individuals who undergo percutaneous coronary intervention (PCI) in Fu Wai Hospital throughout the year 2013 consecutively enrolled. The primary endpoint was all-cause mortality. The secondary endpoint was cardiac mortality. CAR was calculated with the formula: hs-CRP (mg/L)/albumin (g/L). According to the optimal cut-off value of CAR for all-cause mortality, patients were divided into higher CAR (CAR-H) and lower CAR (CAR-L) groups.

RESULTS

A total of 2755 patients with T2DM who underwent PCI and received dual antiplatelet therapy were finally enrolled. During a follow-up of 5 years (interquartile range: 5.0-5.1 years), 126 (4.6%) all-cause mortalities and 74 (2.7%) cardiac mortalities were recorded. In the multivariable Cox model, CAR-H was associated with a higher risk of all-cause mortality (hazard ratio [HR]: 1.634, 95% confidence interval [CI] 1.121-2.380, p = 0.011) and cardiac mortality (HR: 1.733, 95% CI 1.059-2.835, p = 0.029) compared with CAR-L. When comparing the predictive value, CAR was superior to hs-CRP for all-cause mortality (area under the curve [AUC] 0.588 vs. 0.580, p = 0.002) and cardiac mortality (AUC 0.602 vs. 0.593, p = 0.004).

CONCLUSION

In this real-world cohort study, a higher level of CAR was associated with worse 5-year outcomes among diabetic patients with PCI.

Positive Correlation Between Changes in Serum Albumin Levels and Breakfast Non-Protein Calorie/Nitrogen Ratio in Geriatric Patients

Background

Differences in nutrition intake by meal intake time of geriatric patients may affect albumin (Alb) synthesis ability.

Methods

We included 36 geriatric patients (81.7 ± 7.7 years; 20 males and 16 females) as subjects. We calculated their dietary patterns (DPs) by computing intake by breakfast, lunch, and dinner, as well as by nutrient, for a weight of 1 kg/day for 4 weeks after hospitalization. We confirmed the relationship between "DP with a positive correlation with breakfast protein" and the change rate of albumin (Alb-RC). Then, we performed linear regression analysis to explore factors influencing Alb-RC and compared non-protein calorie/nitrogen ratio (NPC/N) between the upper and lower Alb-RC groups.

Results

It was observed that Alb-RC was negatively correlated with "DP with a positive correlation with breakfast protein" (B = -0.055, P = 0.038) and positively correlated with breakfast NPC/N (B = 0.043, P = 0.029). Breakfast NPC/N tended to be higher in the upper group than in the lower group (P = 0.058).

Conclusion

The study revealed that there was a positive correlation between Alb-RC levels and breakfast NPC/N in geriatric patients at the care mix institution.

Severe hypercholesterolemia in a patient with very low albumin and normal renal function

A 20-year-old male presented with severe elevation in low-density lipoprotein cholesterol (LDL-C). Initial genetic testing for familial hypercholesterolemia was negative. Patient also had low albumin, and further genetic testing showed homozygous variants in the ALB gene, suggesting congenital analbuminemia (CAA) causing severe hyperlipidemia. CAA is an autosomal recessive disorder with incidence of about 1:1,000,000. The gene for albumin is a single autosomal gene, and pathological variants that affect splicing lead to premature stop, nonsense variants, and deletions that result in a defect in albumin synthesis with CAA. CAA can be fatal in the prenatal period and cause infections in early childhood. CAA is tolerated better in adulthood because of compensatory increase in other plasma proteins. Plasma lipoproteins also increase, and CAA can cause gross hyperlipidemia with severe elevations in LDL-C and hypercholesterolemia. Genetic examination of ALB is mandatory to establish the diagnosis. Early diagnosis may be important to initiate lipid-lowering treatments to avoid premature coronary artery disease.

Red Cell Distribution Width/Albumin Ratio: A Predictor of In-Hospital All-Cause Mortality in Patients with Acute Myocardial Infarction in the ICU

Purpose

Red cell distribution width (RDW) and albumin level are linked to adverse outcomes in patients with acute myocardial infarction (AMI). Nonetheless, it remains unknown whether the RDW/albumin ratio (RAR) is associated with the short-term prognosis of AMI. Using a large cohort, we aimed to explore the association between RAR and in-hospital all-cause mortality in intensive care unit (ICU) patients with AMI.

Patients and Methods

The patients' data analyzed in this retrospective cohort investigation were obtained from the eICU Collaborative Research Data Resource. RAR was calculated based on the serum albumin level and RDW. The primary outcome was in-hospital all-cause mortality. Receiver operating characteristic curve, multiple logistic regression model, and Kaplan-Meier survival analysis were performed to explore the prognostic value of RAR.

Results

We enrolled 2594 patients in this study. After correcting for confounding factors, the RAR was an independent predictor for in-hospital mortality in our model (odds ratio [OR] 1.27, 95% confidence interval [CI] 1.12, 1.43). A similar relationship was observed with mechanical ventilation use. RAR showed a better predictive value with an area under the curve (AUC) of 0.738 (cutoff, 4.776) for in-hospital all-cause mortality compared to RDW or albumin alone. Kaplan-Meier estimator curve analyses for RAR demonstrated that the group with RAR ≥4.776%/g/dL had poorer survival than the group with RAR <4.776%/g/dL (p< 0.0001). The subgroup analysis revealed no significant interaction between RAR and in-hospital all-cause mortality in all strata.

Conclusion

RAR was an independent risk factor for in-hospital all-cause mortality in ICU patients with AMI. Higher RAR values corresponded to higher mortality rates. RAR is a more accurate predictor of in-hospital all-cause mortality in patients with AMI in the ICU than albumin or RDW. Thus, RAR may be a potential biomarker of AMI.

The Relationship Between the Neutrophil Percentage-to-Albumin Ratio and Rates of 28-Day Mortality in Atrial Fibrillation Patients 80 Years of Age or Older

Backgrounds and Aims

Atrial fibrillation (AF) is the most common cardiac arrhythmia among the older patients (≥ 80 years) in clinical practice. The index of neutrophil percentage-to-albumin ratio (NPAR) is a reliable predictor of adverse outcomes in cardiovascular diseases. There is scarce evidence regarding the association between NPAR and mortality among the older patients with AF.

Methods

The research was conducted among 1141 patients with AF between January 2015 and June 2020, hospitalized at Huadong Hospital affiliated with Fudan University. The primary outcome were 28-day all-cause and cardiovascular mortality. Cox regression analysis and Kaplan-Meier survival curves were used to explore the correlation between NPAR and 28-day all-cause or cardiovascular mortality. Receiver operating characteristic (ROC) curve and the area under the curve (AUC) were performed for the predictive values of NPAR on prognosis.

Results

The 28-day death rate from cardiovascular disease and all-causes were 3.3% and 8.7%, respectively. Continuous NPAR levels were positively associated with all-cause (HR 1.13, 95% CI 1.09, 1.16) and cardiovascular (HR 1.16, 95% CI 1.10, 1.23) mortality after adjustment for confounding variables. Relative to patients in the T1 group, those in higher NPAR tertiles also exhibit elevated risks of all-cause (P < 0.001) and cardiovascular mortality (P < 0.001). Furthermore, both all-cause and cardiovascular mortality rates rose with increasing NPAR in all analyzed subgroups.

Conclusion

NPAR values are consistently positively related to 28-day all-cause and cardiovascular mortality rates in patients ≥80 years of age with AF.

RDW-to-ALB Ratio Is an Independent Predictor for 30-Day All-Cause Mortality in Patients with Acute Ischemic Stroke: A Retrospective Analysis from the MIMIC-IV Database

Purpose

Previous studies have shown that the peripheral red blood cell distribution width (RDW) and human serum albumin (ALB) were both predictors of the risk and mortality of cerebrovascular diseases, and the ratio of RDW to ALB (RAR) was a combined new index that can predict the prognosis of the cardiovascular and respiration systemic diseases, but its role in cerebrovascular diseases had not been effectively evaluated. This study is aimed at exploring whether RAR can effectively predict the 30-day all-cause mortality of acute ischemic stroke (AIS) patients.

Methods

This retrospective cohort study was conducted on AIS patients (age > 18 years) in the intensive care database MIMIC-IV. The RAR was measured based on the red blood cell distribution width and albumin. The main result was 30-day all-cause mortality, and the secondary results were ICU mortality and hospital mortality. Obtain the odds ratio (OR) estimate from the logistic regression model of log-transformed RAR values and mortality. We had used another database for external validation.

Results

A total of 1412 patients were enrolled, with an average age of 68.8 ± 15.9, including 708 (50.1%) males. When log-transformed RAR values were used as a continuous variable, as the values increases, the risk of death increases (30-day all-cause mortality OR = 4.02 (2.21, 7.32) P < 0.0001, ICU mortality OR = 3.81 (1.92, 7.54) P = 0.0001, and hospital mortality OR = 3.31 (1.83, 6.00) P < 0.0001), when the values were used as three-category variables and as a trend variable was also positively correlated with each mortality rate. Especially as the categorical variables, a dose-response relationship was clearly observed, that was, as the category of RAR increased (Q1 to Q3), the HR value of the risk of death gradually steadily increased. Such a relationship can also be observed in the external validation database. In the subgroup analysis, we observed an increased risk of death in the patient with hyperlipidemia and low HAS-BLED scores; however, no significant interaction was found in other subgroup analyses (including the diagnostic sequence of AIS).

Conclusion

RAR was a predictor of mortality in AIS patients. However, more in-depth research is needed to further analyze and confirm the role of RAR in AIS patients.

High-Sensitivity C-Reactive Protein-to-Albumin Ratio in Predicting the Major Adverse Cardiovascular Event in Acute Coronary Syndrome at Presentation

Objective:

Our study aimed to determine the association between high sensitivity-c reactive protein to albumin ratio (CAR) and in-hospital major adverse cardiovascular event (MACE) in patients with acute coronary syndrome and also to assess whether hs-CAR is a better marker than hsCRP or albumin alone in predicting MACE.

Materials and Methods:

We enrolled 110 cases who were hospitalized and major adverse cardiovascular event was defined as cardiogenic shock, acute heart failure, reinfarction and death. Blood sample for Serum albumin and hs-crp was taken at the time when patients were admitted.

Results:

The incidence of MACE was more in patients with high CAR (≥1.8 group) as compared to those with low CAR (<1.8 group).

Conclusion:

The CAR is an independent predictor of MACE in patients who present with ACS.

Prognostic Nutritional Index Predicts Contrast-Induced Nephropathy in Patients with Acute Coronary Syndrome

This study evaluated the effectiveness of prognostic nutritional index (PNI) in predicting contrast induced nephropathy (CIN) in patients with acute coronary syndrome (ACS). This study included 925 ACS patients (mean age 62.5 ± 12.4 years, 73.5% male); 604 were diagnosed as unstable angina pectoris/non–ST-elevation myocardial infarction (USAP/NSTEMI) and 321 as ST-elevation myocardial infarction (STEMI). The PNI formula was: 10 × serum albumin (g/dL) + .005 × total lymphocyte count (/mm3). The patients were divided into two groups: CIN (n = 232) and non-CIN (n = 693). Patients without CIN had a significantly lower PNI than patients with CIN (44.3 ± 6.9 vs 54.7 ± 7.4; P < .001). In the receiver operating characteristic (ROC) curve analysis, the cut-off value for PNI of 48.6 has 80% specificity and 81% sensitivity in predicting CIN (area under the ROC curve (AUC): .87, 95% CI [.84–.89]). PNI <48.6 (odds ratio (OR): 6.765, P < .001), pre-procedural creatinine levels (OR: 6.223, P < .001), left ventricular ejection fraction (LVEF) (OR: .960, P < .001), age (OR: 1.025, P = .005), diabetes mellitus (DM) (0R: 1.768, P = .006), contrast amount (OR: 1.003, P = .038), and having STEMI (OR: .594, P = .029) were found independently associated with CIN. PNI is a strong independent predictor of CIN in ACS patients.

The uric acid to albumin ratio: a novel predictor of long-term cardiac mortality in patients with unstable angina pectoris after percutaneous coronary intervention

The prognosis of unstable angina pectoris (UAP) differs from non-ST-segment elevation myocardial infarction, and percutaneous coronary intervention (PCI) is considered to improve outcomes of UAP. This study aimed to assess the prognostic value of uric acid to albumin ratio (UAR) for long-term mortality in UAP patients after PCI. Our study retrospectively enrolled 2298 patients hospitalized because of UAP in a tertiary hospital. Divided by medium UAR, the patients were classified into two groups. Baseline demographics, clinical features and laboratory characteristics were obtained from medical records. Post-discharge follow-up was performed either in outdoor clinic or through phone call. The primary endpoint in this study was cardiac death, while all-cause death and rehospitalization were designated as the secondary endpoints. The median follow-up time was 672 days. Among all patients, 58 (2.5%) died, 28 of which died of cardiac deaths (1.2%), and 467 were re-hospitalized (20.3%). Cardiac mortality and all-cause mortality were found to be significantly higher in the high UAR group than in the low UAR group (p = 0.007, p < 0.001), and Kaplan-Meier analysis showed patients with higher UAR may suffer from worse outcomes (p = 0.020). UAR, PCI history, and age were identified as independent predictors of cardiac mortality by multivariate Cox regression. A UAR value of >8.35 was demonstrated as an ideal cut-off point to predict post-PCI cardiac mortality (p <0.001). Overall, it is indicated that baseline UAR was independently correlated with long-term cardiac mortality in patients with UAP treated by PCI.

Impact of albumin infusion on prognosis of intensive care unit patients with congestive heart failure-hypoalbuminemia overlap: a retrospective cohort study

Background

Hypoalbuminemia is common in congestive heart failure (CHF) patients. Serum albumin is associated with the prognosis of CHF patients. Impact of albumin infusion on prognosis of patients with CHF-hypoalbuminemia overlap remains unclear. We retrospectively investigated the impact of albumin infusion on prognosis of intensive care unit (ICU) patients with CHF-hypoalbuminemia overlap.

Methods

We enrolled all patients whose diagnosis included CHF [ICD-9 (international classification of diseases 9) code =428.0] at first ICU admission from the MIMIC III (Medical Information Mart for Intensive Care III) database, and excluded those with missing serum albumin values, with serum albumin >3.4 g/dL or <18 years old. According to the exposure of albumin infusion during hospitalization, patients were stratified into non-albumin and albumin groups. Propensity-score matching (PSM) was performed (1:1 ratio) to control for baseline confounding. Outcome measures were in-hospital mortality as well as length of stay in the ICU (ICU LOS) and the hospital (hospital LOS).

Results

There were 3,190 eligible patients in the initial search. Patients with albumin infusion had markedly higher in-hospital mortality (36.42% vs. 21.81%, P<0.001), longer ICU LOS [median 6.93 (3.39–14.82) vs. 3.84 (1.96–8.00) days, P<0.001], and longer hospital LOS [median 17.46 (11.45–28.33) vs. 10.92 (6.81–18.00) days, P<0.001] than those without albumin infusion. The multivariate logistic regression analysis revealed that albumin infusion [odds ratio (OR), 1.509; 95% confidence interval (CI), 1.164–1.957; P=0.002] was significantly associated with increased risk of in-hospital mortality. After PSM, a cohort of 429 pairs of patients was included in the final analysis. Patients with albumin infusion had markedly higher in-hospital mortality (34.97% vs. 27.27%, P=0.015), longer ICU LOS [median 8.43 (4.33–16.28) vs. 6.43 (3.07–13.66) days, P<0.001], and longer hospital LOS [median 16.92 (11.27–28.06) vs. 13.33 (8.00–21.10) days, P<0.001] than those without albumin infusion. The multivariate logistic regression analysis revealed that albumin infusion (OR, 1.594; 95% CI, 1.143–2.223; P=0.006) was significantly associated with increased risk of in-hospital mortality.

Conclusions

Albumin infusion increased in-hospital mortality, ICU LOS, and hospital LOS in ICU patients with CHF-hypoalbuminemia overlap.

Elevated Blood Urea Nitrogen to Serum Albumin Ratio Is an Adverse Prognostic Predictor for Patients Undergoing Cardiac Surgery

Background

Elevated blood urea nitrogen (BUN) and reduced albumin have been prominently correlated with unfavorable outcomes in patients with cardiovascular diseases. However, whether combination BUN and albumin levels could predict the adverse outcomes of cardiac surgery patients remains to be confirmed. Here, we investigated the prognostic effect of the preoperative BUN to serum albumin ratio (BAR) in cardiac surgery patients.

Methods

Data were obtained from the Medical Information Mart for Intensive Care (MIMIC) III and eICU databases and classified into a training cohort and validation cohort. The BAR (mg/g) was calculated by initial BUN (mg/dl)/serum albumin (g/dl). The primary outcome was in-hospital mortality. Secondary outcomes were 1-year mortality, prolonged length at intensive care unit, and duration of hospital stay. The associations of BAR with outcomes were explored by multivariate regression analysis and subgroup analyses. Then, C statistics were performed to assess the added prognostic impact of BAR beyond a baseline risk model.

Results

Patients with in-hospital death had significantly higher levels of BAR. Multivariate regression analysis identified BAR, as a categorical or continuous variable, as an independent factor for adverse outcomes of cardiac surgery (all p < 0.05). Subgroup analyses demonstrated a significant relationship between elevated BAR and in-hospital mortality in different subclasses. The addition of BAR to a baseline model provided additional prognostic information benefits for assessing primary outcome. Results were concordant in the external validation cohort.

Conclusions

Increased preoperative BAR is a potent predictor of unfavorable outcomes in patients undergoing cardiac surgery.

Serum Albumin to Creatinine Ratio and Short-Term Clinical Outcomes in Patients With ST-Elevation Myocardial Infarction

There is a lack of evidence regarding the short-term predictive value of serum albumin to creatinine ratio (sACR) in patients with ST-segment elevation myocardial infarction (STEMI). This study aims to investigate the relationship between sACR and short-term outcomes in these patients. We retrospectively enrolled 3057 patients with STEMI who underwent primary percutaneous coronary interventions (PCI) (median age was 58 years, and 74.3% were male). In-hospital mortality occurred in 114 (3.7%) patients. Contrast-induced nephropathy (CIN) was reported in 381 (12.4%) patients. During a 30-day follow-up, stent thrombosis (ST) occurred in 28 (.9%) patients and 30-day death in 147 (4.8%) patients. Multivariable logistic regression analysis reported that sACR was inversely associated with 30-day mortality (adjusted odds ratio (aOR): .51, 95% confidence interval (CI) .31-.82, P < .001). The sACR was also inversely associated with in-hospital mortality (aOR: .71, 95% CI .56-.90, P = .009), CIN (aOR: .60, 95% CI .52-.68, P < .001), congestive heart failure (CHF) (aOR: .64, 95% CI .47-.87, P = .007), and ST (aOR .61, 95% CI .41-.92, P = .001) at 30 days. Our findings suggest that sACR is inversely associated with short-term clinical outcomes in patients with STEMI after PCI.

Developing a Nomogram-Based Scoring Tool to Estimate the Risk of Pulmonary Embolism

Background

Pulmonary embolisms (PEs) are clinically challenging because of their high morbidity and mortality. This study aimed to develop a scoring tool for predicting PEs to improve their clinical management.

Methods

Clinical, laboratory, and imaging parameters were retrospectively collected from suspected PE patients who had cough or chest pain and were hospitalized in West China Hospital of Sichuan University from May 2015 to April 2020. The final diagnosis of PE was defined based on findings from computed tomographic pulmonary angiography (CTPA). In this study, patients were randomly divided 2:1 into derivation and validation cohorts, which were used to create and validate, respectively, a nomogram. Model performance was estimated with the area under the receiver operating characteristic curve and a calibration curve.

Results

Our study incorporated data on more than 100 features from 1480 patients (811 non-PE, 669 PE). The nomogram was constructed using important predictive features including D-dimer, APTT, FDP, platelet count, sodium, albumin and cholesterol and achieved AUC values of 0.692 with the derivation cohort (95% CI 0.688–0.696, P < 0.01) and 0.688 with the validation cohort (95% CI 0.653–0.723, P < 0.01). The calibration curve showed good agreement between the probability predicted by the nomogram and the actual probability.

Conclusion

In this study, we successfully developed a nomogram that can predict the risk of PE, which can not only improve the clinical management of PE patients but also decrease unnecessary CTPA scans and their adverse effects.

High fibrinogen-to-albumin ratio with type 2 diabetes mellitus is associated with poor prognosis in patients undergoing percutaneous coronary intervention: 5-year findings from a large cohort

BACKGROUND

Inflammation plays a crucial role in coronary atherosclerosis progression, and growing evidence has demonstrated that the fibrinogen-to-albumin ratio (FAR), as a novel inflammation biomarker, is associated with the severity of coronary artery disease (CAD). However, the long-term risk of cardiovascular events remains indistinct in patients with different level of FAR and different glycemic metabolism status. This study was to assess 5-year clinical outcomes of diabetic and non-diabetic patients who underwent percutaneous coronary intervention (PCI) with different level of FAR.

METHODS

We consecutively enrolled 10,724 patients with CAD hospitalized for PCI and followed up for the major adverse cardiac and cerebrovascular events (MACCE) covering all-cause mortality, cardiac mortality, non-fatal myocardial infarction, non-fatal ischemic stroke, and unplanned coronary revascularization. FAR was computed using the following formula: Fibrinogen (g/L)/Albumin (g/L). According to the optimal cut-off value of FAR for MACCE prediction, patients were divided into higher level of FAR (FAR-H) and lower level of FAR (FAR-L) subgroups, and were further categorized into four groups as FAR-H with DM and non-DM, and FAR-L with DM and non-DM.

RESULTS

5298 patients (58.36 ± 10.36 years, 77.7% male) were ultimately enrolled in the present study. A total of 1099 (20.7%) MACCEs were documented during the 5-year follow-up. The optimal cut-off value of FAR was 0.0783 by the surv_cutpoint function. Compared to ones with FAR-H and DM, patients with FAR-L and non-DM, FAR-H and non-DM, FAR-L and DM had decreased risk of MACCEs [adjusted hazard ratio (HR): 0.75, 95% confidence interval (CI) 0.64-0.89, P = 0.001; HR: 0.78, 95% CI 0.66-0.93, P = 0.006; HR: 0.81, 95% CI 0.68-0.97, P = 0.019; respectively]. Notably, non-diabetic patients with lower level of FAR also had lower all-cause mortality and cardiac mortality risk than those in the FAR-H/DM group (HR: 0.41, 95% CI 0.27-0.63, P < 0.001; HR: 0.30, 95% CI 0.17-0.53, P < 0.001; respectively). Multivariate Cox proportional hazards regression analysis also indicated the highest risk of MACCEs in patients with FAR-H and DM than others (P for trend = 0.005). In addition, post-hoc analysis revealed consistent effects on 5-year MACCE across various subgroups.

CONCLUSION

In this real-world cohort study, higher level of FAR combined with DM was associated with worse 5-year outcomes among patients with CAD undergoing PCI. The level of FAR may help to identify high-risk individuals in this specific population, where more precise risk assessment should be performed.

The neutrophil percentage-to-albumin ratio is associated with all-cause mortality in critically ill patients with acute myocardial infarction

Aim

In this study, we evaluated the utility of neutrophil percentage-to-albumin ratio (NPAR) in predicting in critically ill patients with acute myocardial infarction (AMI).

Methods

The information of patients were collected from Medical Information Mart for Intensive Care III database. Admission NPAR was calculated as neutrophil percentage divided by serum albumin. The endpoints of this study were 30-day, 90-day, 180-day, and 365-day all-cause mortality. Cox proportional hazards models and subgroup analyses were used to determine the relationship between admission NPAR and these endpoints.

Results

798 critically ill patients with AMI were enrolled in. After adjustments for age, race and gender, higher admission NPAR was associated with increased risk of 30-day, 90-day, 180-day, and 365-day all-cause mortality in critically ill patients with AMI. And after adjusting for possible confounding variables, two different trends have emerged. Stratified by tertiles, high admission NPAR was independently associated with 180-day and 365-day all-cause mortality in critically ill patients with AMI (tertile 3 vs. tertile 1: adjusted HR, 95% CI 1.71, 1.10–2.66, p < 0.05; 1.66, 1.10–2.51, p < 0.05). In other hand, stratified by quartiles, highest admission NPAR levels were independently associated with 90-day, 180-day and 365-day all-cause mortality (quartile 4 vs. quartile 1: adjusted HR, 95% CI 2.36, 1.32–4.23, p < 0.05; 2.58, 1.49–4.47, p < 0.05; 2.61, 1.56–4.37, p < 0.05). ROC test showed that admission NPAR had a moderate ability to predict all-cause mortality of critically ill patients with AMI. No obvious interaction was found by subgroup analysis in most subgroups.

Conclusions

Admission NPAR was an independent predictor for 180-day and 365-day all-cause mortality in critically ill patients with AMI.

Serum albumin and FT3/FT4 ratio as additional co-morbidity parameters to predict mortality as a new approach: The Haseki Scoring Index (updated Charlson Comorbidity Index)

Background

Charlson Comorbidity Index (CCI) is the common and valid method to predict mortality by classifying comorbidities such as cardiovascular, metabolic, renal, hepatic, pulmonary diseases, and malignancy. Novel risk factors are not included in the Charlson Comorbidity Index, such as thyroid hormone index (FT3/FT4 ratio) and serum albumin levels. In the present study, we aimed to assess whether the thyroid hormone index and albumin are useful clinical parameters in short and long-term mortality.

Methods

In the retrospective cohort study with a 5 year follow up, the data of 1292 patients who were hospitalized between January 1st–June 30th of 2014 were examined. Three months mortality as short term and 5-year mortality as long term were evaluated.

Results

Three months and 5 years mortality rates for 1064 patients were analyzed. We showed that hypoalbuminemia and thyroid hormone index had statistically significant effects on short and long-term mortality. According to ROC analysis it was demonstrated that the scoring system including biochemical parameters such as thyroid hormone index and serum albumin level was more significant for 3-month mortality. In addition, both scoring systems are equal in demonstrating long-term mortality.

Conclusion

Thyroid hormone index and albumin could improve the prognostic performance of the original Charlson Comorbidity Index in short term mortality. The combined score may offer improvements in comorbidity summarization over existing scores.

Association of the serum albumin level with prognosis in chronic kidney disease patients

PURPOSE

Chronic kidney disease (CKD) is an important contributor to the overall morbidity and mortality due to noncommunicable diseases. We investigated the relationship between serum albumin and the clinical prognosis in patients with stage G2-G5 CKD who were not undergoing dialysis.

METHODS

This was a post hoc analysis of 1138 patients enrolled from 2010 to 2011 in the Chronic Kidney Disease Research of Outcomes in Treatment and Epidemiology (CKD-ROUTE) study. The primary endpoints were CKD progression, cardiovascular disease (CVD) development, and all-cause mortality. Cox proportional hazards models were used.

RESULTS

During a median follow-up time of 35 months, the number of patients who experienced CKD progression, CVD development, and all-cause mortality was 278 (24.7%), 116 (10.3%), and 78 (6.9%), respectively. In multivariable-adjusted Cox proportional hazards models, the adjusted hazard ratios (HRs) for CKD progression, CVD development, and all-cause mortality in patients with the highest quartile of serum albumin concentrations compared to those with the lowest quartile of serum albumin concentrations were 0.13 (P < 0.0001), 0.29 (P = 0.0002), and 0.27 (P = 0.0009), respectively, in the model adjusted for demographic factors, hypertension, diabetes, and a history of CVD. After further adjustment for the estimated glomerular filtration rate (eGFR), urinary protein/creatinine ratio (UPCR), and systolic blood pressure (SBP), the results remained significant (HR for CKD progression 0.37, P < 0.0001; HR for CVD development 0.41, P = 0.0120; HR for all-cause mortality 0.37, P = 0.0158).

CONCLUSION

Serum albumin levels were inversely associated with the risks of CKD progression, CVD development, and all-cause mortality among patients with stage G2-G5 CKD who were not undergoing dialysis.

Implications of Malnutrition on Contrast-Associated Acute Kidney Injury in Young and Old Patients Undergoing Percutaneous Coronary Intervention: A Multicenter Prospective Cohort

Background

The relationship between malnutrition and the risk of contrast-associated acute kidney injury (CA-AKI) and the resulting prognosis in patients undergoing percutaneous coronary intervention (PCI) is still not well known.

Methods

Patients undergoing PCI were consecutively enrolled in a multicenter study in China (NCT01402232), categorized by nutritional status (non-malnutrition, malnutrition) based on two different cut-off values (i.e., traditional threshold and the best cut-off value based on the receiver operating characteristic (ROC) curve) for the controlling nutritional status (CONUT) score. The primary endpoint was CA-AKI, diagnosed as a rise in serum creatinine &gt;0.3 mg/dl or &gt;50% than the baseline level occurring within 48 h after the intervention. The secondary endpoint was all-cause mortality. The relationships of malnutrition, CA-AKI, and all-cause mortality were examined using multivariate-adjusted logistic and Cox regression analyses, respectively.

Results

Among 2,083 patients undergoing PCI (age: 62.8 ± 11.1 years; 79.0% men), 1,258 (60.4%) were malnourished. During hospitalization, 80 (3.8%) patients developed CA-AKI events. The incidence of CA-AKI in patients who did not have malnutrition (the non-malnutrition group) and those who did have malnutrition (the malnutrition group) was 1.7% and 5.25%, respectively. Patients with malnutrition had a 2-fold increased adjusted risk of CA-AKI compared to those with no malnutrition [adjusted odds ratio (aOR) (95% confidence interval CI): 2.41 (1.22 to 5.22)]. Malnutrition was associated with a 3-fold increased adjusted risk of CA-AKI in patients aged ≤ 75 years [N = 1,791, aOR (95% CI): 3.39 (1.46–9.25)]. Malnourished patients with CA-AKI had a higher risk of all-cause mortality than the others. Similar results were observed in the grouping of Supplemental Analyses based on the optimal cut-off value of the CONUT score identified by the ROC curve.

Conclusions

Malnutrition is strongly associated with an increased risk of CA-AKI in both young and old patients undergoing PCI. Malnourished patients with CA-AKI had a significantly higher risk of all-cause mortality. Further studies are needed to prospectively assess the efficacy of nutritional interventions on outcomes in patients undergoing PCI.

Impact of nutritional status on prognosis in acute myocardial infarction patients undergoing percutaneous coronary intervention

BACKGROUND

Malnutrition affects the prognosis of cardiovascular disease. Acute myocardial infarction (AMI) has been a major cause of death around the world. Thus, we investigated the impact of malnutrition as defined by Geriatric Nutritional Risk Index (GNRI) on mortality in AMI patients.

METHODS

In 268 consecutive AMI patients who underwent percutaneous coronary intervention (PCI), associations between all-cause death and baseline characteristics including malnutrition (GNRI < 92.0) and Global Registry of Acute Coronary Events (GRACE) risk score were assessed.

RESULTS

Thirty-three patients died after PCI. Mortality was higher in the 51 malnourished patients than in the 217 non-malnourished patients, both within 1 month after PCI (p < 0.001) and beyond 1 month after PCI (p = 0.017). Multivariate Cox proportional hazards regression modelling using age, left ventricular ejection fraction and GRACE risk score showed malnutrition correlated significantly with all-cause death within 1 month after PCI (hazard ratio [HR] 7.04; 95% confidence interval [CI] 2.30-21.51; p < 0.001) and beyond 1 month after PCI (HR 3.10; 95% CI 1.70-8.96; p = 0.037). There were no significant differences in area under the receiver-operating characteristic (ROC) curve between GRACE risk score and GNRI for predicting all-cause death within 1 month after PCI (0.90 vs. 0.81; p = 0.074) or beyond 1 month after PCI (0.69 vs. 0.71; p = 0.87). Calibration plots comparing actual and predicted mortality confirmed that GNRI (p = 0.006) was more predictive of outcome than GRACE risk score (p = 0.85) beyond 1 month after PCI. Furthermore, comparison of p-value for interaction of malnutrition and GRACE risk score for all-cause death within 1 month after PCI, beyond 1 month after PCI, and the full follow-up period after PCI were p = 0.62, p = 0.64 and p = 0.38, respectively.

CONCLUSIONS

GNRI may have a potential for predicting the mortality in AMI patients especially in beyond 1 month after PCI, separate from GRACE risk score. Assessment of nutritional status may help stratify the risk of AMI mortality.

The relationship between fibrinogen-to-albumin ratio and in-stent restenosis in patients with coronary artery disease undergoing drug-eluting stenting

BACKGROUND

In-stent restenosis (ISR) remains a significant clinical problem in patients with coronary artery disease (CAD) treated with percutaneous coronary intervention (PCI). Recent studies identified the fibrinogen-to-albumin ratio (FAR) as a novel inflammatory marker to predict inflammation in chronic diseases. This study aimed to investigate the relationship between FAR and ISR in patients with DES implantation.

METHODS

A total of 506 consecutive CAD patients were enrolled. Subjects history of successful native vessel PCI with DES at least 12 months prior to undergoing repeat angiography for chest pain. Patients were divided between ISR group (n = 125) and no-ISR group (n = 381). ISR was defined as luminal stenosis ≥50% located within the stent or up to 5 mm beyond the stent edges by the quantitative coronary analysis. Laboratory parameters were measured before angiography. Significant factors associated with ISR were evaluated by multivariate logistic regression analysis.

RESULTS

Baseline characteristics were similar between the ISR and no-ISR groups. The ISR group had significantly higher FAR level compared with the no-ISR group (73.26 ± 17.68 vs. 64.90 ± 15.88, P < 0.05). Furthermore, the ISR group had significantly lower albumin level and higher prevalence of diabetes mellitus compared to no-ISR (P < 0.05). In a multivariate analysis, FAR (odds ratio [OR] = 1.039, 95% confidence interval (CI) = 1.024-1.054), albumin (OR = 0.923, 95% CI = 0.389-0.977) and diabetes mellitus (OR = 2.663, 95% CI = 1.587-4.468) were significantly associated with ISR.

CONCLUSION

FAR is significantly associated with the development of ISR in CAD patients undergoing PCI with DES implantation.

Prognostic impact of follow-up serum albumin after acute myocardial infarction

Aims

Previous studies have suggested that low serum albumin (LSA) at admission for acute myocardial infarction (AMI) is associated with adverse in‐hospital outcomes. The aim of this study was to investigate whether LSA in the remote phase after AMI is prognostic for long‐term outcomes.

Methods and results

This was a single‐centre, retrospective study of consecutive patients admitted for AMI from 2008 to 2016. Serum albumin concentrations were measured serially at admission and 1 year after discharge in Japanese patients. Occurrence of a composite of hospitalization for heart failure and cardiovascular death was the primary endpoint. The prognostic impact of remote LSA, defined as a serum albumin level < 3.8 g/dL at 1 year after discharge, was investigated with a multivariate‐adjusted Cox model. Among 1424 subjects analysed, 289 (20.3%) had LSA at admission, and 165 (11.6%) had LSA at 1 year after discharge. During follow‐up (median: 4.1 years), the primary endpoint occurred in 31/165 (18.8%) patients with remote LSA and 42/1259 (3.3%) patients without it [adjusted hazard ratio (aHR), 2.76; 95% confidence interval (CI), 1.32 to 5.72; P = 0.007]. The all‐cause death rate was 29.7% (49/165) in patients with remote LSA and 4.3% (54/1259) in patients without it (aHR, 4.02; 95% CI, 2.36 to 6.87; P < 0.001). The prognostic impact of remote LSA was consistent across albumin status in the acute phase of AMI.

Conclusions

Regardless of albumin status in the acute phase of AMI, LSA in the remote phase after AMI was significantly associated with long‐term adverse outcomes.

Low serum albumin levels and in-hospital outcomes in patients with ST segment elevation myocardial infarction

BACKGROUND AND AIMS

Low serum albumin (SA) is associated with an increased risk of long-term adverse events (AEs) among patients with chronic coronary syndromes. Its prognostic role in patients with ST-elevation myocardial infarction (STEMI) is less clear. To investigate the association between low SA and in-hospital AEs in STEMI patients.

METHODS AND RESULTS

Multicenter retrospective cohort study of 220 STEMI patients undergoing primary percutaneous coronary intervention within 12 h from the onset of symptoms. Hypoalbuminemia was defined by serum SA <35 g/L. SA. In-hospital AEs were defined as cardiogenic shock, resuscitated cardiac arrest and death. Median SA was 38 (IQR 35.4-41.0) g/L and 37 (16.8%) patients showed hypoalbuminemia (<35 g/L) on admission. Patients with hypoalbuminemia were older, more frequently women and diabetics, prior CAD and HF. Furthermore, they showed lower hemoglobin levels and impaired renal function. At multivariable logistic regression analysis, diabetes (odds ratio [OR]:4.59, 95% confidence interval [CI] 1.71-12.28, p = 0.002) and haemoglobin (OR:0.52, 95%CI 0.37-0.72, p < 0.001) were associated with low SA. In a subgroup of 132 patients, SA inversely correlated with D-Dimer (rS -0.308, p < 0.001). Globally, twenty-eight (14.6%) AEs were recorded. Hypoalbuminemia (OR:3.43, 95%CI 1.30-9.07, p = 0.013), high-sensitive (HS)-Troponin peak above median (OR:5.41, 95%CI 1.99-14.7, p = 0.001), C-reactive protein (CRP) peak above median (OR:6.03, 95%CI 2.02-18.00, p = 0.001), and in-hospital infection (OR:3.61, 95%CI 1.21-10.80, p = 0.022) were associated with AEs.

CONCLUSION

Low SA levels are associated with worse in-hospital AEs in STEMI patients, irrespective of HS-troponin and CRP plasma levels. Our findings suggest that low SA may contribute to the pro-thrombotic phenotype of these patients.

Reduced serum albumin as a risk factor for poor prognosis in critically ill patients receiving renal replacement therapy

Background

Albumin is the primary body protein, which can predict the poor prognosis of several critical diseases. However, there are a few scientific studies on the relationship between albumin and the prognosis of dialysis patients. This study aims to explore the impact of hypoalbuminemia on the prognosis of critically ill patients with acute kidney injury (AKI) receiving continuous renal replacement therapy (CRRT).

Methods

This was a secondary study. Clinical, biochemical, and 28-day and 90-day mortality rates for critical patients with AKI who received CRRT between 2009 and 2016 were searched from the database to determine the effect of hypoalbuminemia on poor outcomes by univariate, multivariate, smooth curve fitting, and subgroup analysis.

Results

A total of 837 participants were enrolled in this study. Multivariate Cox proportional hazard regression analysis showed that hypoalbuminemia was associated with both 28-day and 90-day mortality risks after full adjustment for confounding variables, with an adjusted hazard ratio (95% confidence interval) of 0.63 (0.50–0.80) and 0.63 (0.51–0.78), respectively for each 1 g/dL increase of albumin. Stratified analysis showed that hypoalbuminemia was not associated with poor prognosis in oliguria.

Conclusion

Hypoalbuminemia is associated with poor prognosis in critically ill AKI patients with CRRT; therefore, measuring albumin may be helpful for predicting the prognosis. However, in those with oliguria, this conclusion is not valid.

Association Between the Neutrophil Percentage-to-Albumin Ratio and Outcomes in Cardiac Intensive Care Unit Patients

Background

The neutrophil percentage-to-albumin ratio (NPAR) is a systemic inflammation-based predictor associated with many diseases' outcomes. Nevertheless, there are few studies on the relationship between NPAR and inflammatory markers, and more importantly, the prognostic value of NPAR in critically ill patients with cardiovascular disease (CVD) remains unknown.

Methods

The data of this retrospective cohort study were from the Medical Information Mart data for Intensive Care III database (MIMIC-III) and the Second Affiliated Hospital of Wenzhou Medical University. Linear regression, logistic regression model, and Cox regression model were used to assess the associations between NPAR levels and length of stay, renal replacement therapy (RRT) use, and 30-day, 90-day and one-year mortality, respectively. The Pearson correlation coefficient was used to present the correlation between NPAR and C-reactive protein (CRP).

Results

Our study included 1599 patients in MIMIC-III and 143 patients in the Second Affiliated Hospital of Wenzhou Medical University. The elevated NPAR was independently associated with increased 30-day, 90-day, and one-year all-cause mortality (adjusted HR, 95% CI:1.51 (1.02-2.24); 1.61 (1.14-2.28); 1.53 (1.15-2.03); P trend = 0.0297; 0.0053; 0.0023; respectively), and it was also associated with increase the length of stay in hospital and ICU (β, 95% CI: 2.76 (1.26-4.27); 1.54 (0.62-2.47), respectively, both P trend <0.001). We found that patients with higher NPAR were more likely to receive RRT (OR, 95% CI: 2.50 (1.28-4.89), P trend =0.0023). Moreover, we confirmed that NPAR was statistically positively correlated with CRP (correlation coefficient r = 0.406, P < 0.0001).

Conclusion

Elevated NPAR on admission was independently associated with increased all-cause mortality and length of stay among CICU patients. The results showed that CICU patients with higher NPAR were more likely to receive RRT. Besides, we also provided the evidence that there is a positive correlation between NPAR and inflammatory indicators (ie, CRP).

Prognostic Nutritional Index Predicts Contrast-Associated Acute Kidney Injury in Patients with ST-Segment Elevation Myocardial Infarction

BACKGROUND

Contrast-associated acute kidney injury (CA-AKI) previously known as contrast-induced nephropathy is associated with a worse prognosis in patients with acute ST-elevation myocardial infarction (STEMI) treated with primary percutaneous coronary intervention (PCI). The prognostic nutritional index (PNI) is a simple index comprised of serum albumin level and lymphocyte count which reflects the immunonutritional-inflammatory status. Recently, clinical studies have shown associations between the PNI and clinical outcomes in several cardiovascular diseases. The aim of the study was to assess the possible utilization of the PNI to predict the development of CA-AKI after primary PCI.

METHODS

We retrospectively included 836 patients (mean age 58 ± 12 years, 76% men) with STEMI treated with primary PCI. The PNI was calculated as 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (per mm³). The patients were divided into two groups according to whether or not CA-AKI developed.

RESULTS

The overall incidence of CA-AKI was 9.4%. Compared to the patients without CA-AKI, those with CA-AKI had a significantly lower PNI value (40.7 ± 3.7 vs. 35.2 ± 4.9; p < 0.001). In receiver operating characteristic curve analysis, the optimal cutoff value of the PNI to predict CA-AKI was 38, with 82% sensitivity and 70% specificity (area under the curve 0.836, p < 0.001). In multivariate logistic regression analysis, PNI < 38, body mass index and creatinine were independently associated with CA-AKI (odds ratio 11.275, 95% confidence interval 3.596-35.351; p < 0.001).

CONCLUSIONS

The PNI was inversely and significantly associated with the development of CA-AKI in acute STEMI. Assessing PNI at admission may be useful for early risk stratification of STEMI patients.

Nutritional Intake by Meal Time Zone in Geriatric Patients Is Related to Nutritional Assessment Index

Background

The blood metabolome profiles depend on the meal intake time zone regardless of having the same meal. The serum albumin (Alb) level, which is important in managing geriatric patients with chronic diseases, is included in the metabolome analysis. In this study, we aimed to examine the relationship between Alb and the nutritional value of hospital meals consumed at breakfast, lunch, and dinner among geriatric patients. Chrononutrition was considered while drawing inferences.

Methods

We retrospectively surveyed 52 geriatric patients with chronic diseases (aged 79.7 ± 8.7 years) admitted at a small-scale hospital providing combined healthcare measures and oral nutritional support. The dietary intake per kilogram of body weight of nutritional components for breakfast, lunch, and dinner was individually expressed as the ratio to the whole daily food intake. The dietary pattern was determined by principal component analysis. We also conducted linear regression analysis, with Alb as the dependent variable, and age, sex, and grade assigned in this study as well as the first, second, and third principal components of the dietary patterns as the independent variables.

Results

Three principal components with an eigenvalue of > 1 were extracted. The second principal component was a significantly negative determinant factor for Alb (B = -0.108, P = 0.016). In patients with high Alb levels, the energy, protein, and fat ratios at lunch were positively correlated, while the energy and carbohydrate ratios at dinner were negatively correlated. Mealtimes were fixed.

Conclusions

The results of this study showed that the dietary pattern predominantly observed in patients with high Alb levels may be positively associated with Alb synthesis.

The role of the BUN/albumin ratio in predicting mortality in COVID-19 patients in the emergency department

Introduction

Due to the high mortality and spread rates of coronavirus disease 2019 (COVID-19), there are currently serious challenges in emergency department management. As such, we investigated whether the blood urea nitrogen (BUN)/albumin ratio (BAR) predicts mortality in the COVID-19 patients in the emergency department.

Methods

A total of 602 COVID-19 patients who were brought to the emergency department within the period from March to September 2020 were included in the study. The BUN level, albumin level, BAR, age, gender, and in-hospital mortality status of the patients were recorded. The patients were grouped by in-hospital mortality. Statistical comparison was conducted between the groups.

Results

Of the patients who were included in the study, 312(51.8%) were male, and their median age was 63 years (49–73). There was in-hospital mortality in 96(15.9%) patients. The median BUN and BAR values of the patients in the non-survivor group were significantly higher than those in the survivor group (BUN: 24.76 [17.38–38.31] and 14.43 [10.84–20.42], respectively [p < 0.001]; BAR: 6.7 [4.7–10.1] and 3.4 [2.5–5.2], respectively [p < 0.001]). The mean albumin value in the non-survivor group was significantly lower than that in the survivor group (3.60 ± 0.58 and 4.13 ± 0.51, respectively; p < 0.001). The area-under-the-curve (AUC) and odds ratio values obtained by BAR to predict in-hospital COVID-19 mortality were higher than the values obtained by BUN and albumin (AUC of BAR, BUN, and albumin: 0.809, 0.771, and 0.765, respectively; odds ratio of BAR>3.9, BUN>16.05, and albumin<4.01: 10.448, 7.048, and 6.482, respectively).

Conclusion

The BUN, albumin, and BAR levels were found to be reliable predictors of in-hospital mortality in COVID-19 patients, but BAR was found to be a more reliable predictor than the BUN and albumin levels.

Serum albumin level for prediction of all-cause mortality in acute coronary syndrome patients: a meta-analysis

The prognostic utility of serum albumin level as a predictor of survival in patients with acute coronary syndrome (ACS) has attracted considerable attention. This meta-analysis sought to investigate the prognostic value of serum albumin level for predicting all-cause mortality in ACS patients. A systematic literature search was conducted in Pubmed and Embase databases until 5 March 2019. Epidemiological studies investigating the association between serum albumin level and all-cause mortality risk in ACS patients were included. Eight studies comprising 21667 ACS patients were included. Meta-analysis indicated that ACS patients with low serum albumin level had an increased risk of all-cause mortality (risk ratio [RR] 2.15; 95% confidence interval [CI] 1.68-2.75) after adjusting for important covariates. Subgroup analysis showed that the impact of low serum albumin level was stronger in hospital mortality (RR 3.09; 95% CI 1.70-5.61) than long-term all-cause mortality (RR 1.75; 95% CI 1.54-1.98). This meta-analysis demonstrates that low serum albumin level is a powerful predictor of all-cause mortality in ACS patients, even after adjusting usual confounding factors. However, there is lack of clinical trials to demonstrate that correcting serum albumin level by means of intravenous infusion reduces the excess risk of death in ACS patients.

Prognostic significance of the controlling nutritional (CONUT) score in patients with acute coronary syndrome

BACKGROUND

Malnutrition is an independent predictor of adverse outcomes in patients with acute coronary syndrome. The controlling nutritional (CONUT) score has been applied to assess nutritional status, and has been reported to be associated with poor prognosis in patients with heart failure. However, the prognostic impact of the CONUT score in patients with acute coronary syndrome (ACS) remains to be elucidated.

METHODS

We evaluated the CONUT score in 196 patients with ACS who underwent percutaneous coronary intervention. We divided the patients into four groups according to CONUT score (undernutrition degree: normal, CONUT 0-1 (reference); mild, CONUT 2-4; moderate, CONUT 5-8; severe, CONUT 9-12). The endpoint of the present study was composite events including all-cause death, acute coronary syndrome, target vessel revascularization, and stroke.

RESULTS

The median CONUT score was significantly higher in patients with composite events than in those without events (P = 0.0058). Kaplan-Meier analysis revealed that a significantly higher event rate in patients with severe malnutrition (log-rank test, P = 0.0222). In the multivariate Cox proportional hazards analysis, CONUT score was independently associated with composite events after adjustment for confounding factors (adjusted hazard ratio 1.284, 95% confidence interval 1.126-1.457, P = 0.0003).

CONCLUSION

Higher CONUT scores were associated with unfavorable outcomes in patients with ACS. Malnutrition assessed by the CONUT score may provide valuable prognostic information in patients with ACS.

The Fibrinogen-to-Albumin Ratio Is Associated With Outcomes in Patients With Coronary Artery Disease Who Underwent Percutaneous Coronary Intervention

Coronary artery disease (CAD) is a systemic chronic inflammatory disease, and serum fibrinogen and albumin are 2 important factors in systemic inflammation. We aimed to investigate the relationship between the fibrinogen–albumin ratio (FAR) and outcomes in patients with CAD who underwent percutaneous coronary intervention (PCI). All patients were from the Clinical Outcomes and Risk Factors of Patients with Coronary Heart Disease after PCI (CORFCHD-PCI) study, which is a retrospective cohort study (Identifier: ChiCTR-ORC-16010153) that includes a total of 6050 patients with CAD after PCI from January 2008 to December 2016. A total of 5829 patients with CAD after PCI were recruited in the present study. They were divided into 2 groups according to the FAR cutoff value, which was calculated using a receiver operating characteristic curve, a low group (FAR < 0.095, n = 3811), and a high group (FAR ≥ 0.095, n = 2018). The average follow-up time was 35.9 ± 22.6 months. The multivariate Cox proportional hazards model showed that FAR was independently correlated with all-cause mortality (adjusted hazard ratio [HR] = 1.432 [1.134-1.808], P = .003), cardiac mortality (adjusted HR = 1.579 [1.218-2.047], P = .001), major adverse cardiac and cerebrovascular events (adjusted HR = 1.296 [1.125-1.494], P < .001), major adverse cardiac events (adjusted HR = 1.357 [1.170-1.572], P < .001), and heart failure (adjusted HR = 1.540 [1.135-2.091], P = .006). The present study indicated that the FAR was associated with adverse outcomes in patients with CAD who underwent PCI.

Association Between Albumin Level and Mortality Among Cardiac Intensive Care Unit Patients

PURPOSE

To study the effect of hypoalbuminemia on short- and long-term mortality in Cardiac Intensive Care Unit (CICU) patients.

METHODS

We reviewed 12,418 unique CICU patients from 2007 to 2018. Hypoalbuminemia was defined as an admission albumin level <3.5 g/dL. Predictors of hospital mortality were identified using multivariable logistic regression.

RESULTS

We included 2,680 patients (22%) with a measured admission albumin level. The median age was 68 (39% females). Admission diagnoses included acute coronary syndrome, heart failure, cardiac arrest, and cardiogenic shock. The median albumin level was 3.4 g/dL and 55% of patients had hypoalbuminemia. Hospital mortality occurred in 16%, and patients with hypoalbuminemia had higher hospital mortality (21% vs. 9%, adjusted OR 2.64, 95% CI 2.09-3.34, p < 0.001). Albumin level was inversely associated with hospital mortality (adjusted OR 0.60 per 1 g/dL higher albumin level, 95% CI 0.47-0.75, p <0.001), with a stepwise increase in the hospital mortality at lower albumin levels. Post-discharge mortality was higher in hospital survivors with hypoalbuminemia, and increased as a function of lower albumin levels.

CONCLUSION

Hypoalbuminemia is common in CICU patients and associated with higher short- and long-term mortality. Progressively lower serum albumin was incrementally associated with higher hospital and post-discharge mortality.