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.

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Short, and long-term mortality among cardiac intensive care unit patients started on continuous renal replacement therapy

Journal of Critical Care ◽

10.1016/j.jcrc.2019.11.001 ◽

2020 ◽

Vol 55 ◽

pp. 64-72 ◽

Cited By ~ 4

Author(s):

Vasken Keleshian ◽

Kianoush B. Kashani ◽

Panagiotis Kompotiatis ◽

Gregory W. Barsness ◽

Jacob C. Jentzer

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Renal Replacement Therapy ◽

Continuous Renal Replacement Therapy ◽

Replacement Therapy ◽

Cardiac Intensive Care Unit ◽

Short And Long Term ◽

Cardiac Intensive Care ◽

Long Term Mortality

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Outcomes of Nonagenarians Admitted to the Cardiac Intensive Care Unit by the Elders Risk Assessment Score for Long-Term Mortality Risk Stratification

The American Journal of Cardiology ◽

10.1016/j.amjcard.2017.07.028 ◽

2017 ◽

Vol 120 (8) ◽

pp. 1421-1426 ◽

Cited By ~ 4

Author(s):

Andrew N. Rosenbaum ◽

Niyada Naksuk ◽

Shahyar M. Gharacholou ◽

Jorge A. Brenes-Salazar

Keyword(s):

Risk Assessment ◽

Intensive Care Unit ◽

Intensive Care ◽

Risk Stratification ◽

Mortality Risk ◽

Cardiac Intensive Care Unit ◽

Assessment Score ◽

Cardiac Intensive Care ◽

Long Term Mortality

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Abnormal serum chloride is associated with increased mortality among unselected cardiac intensive care unit patients

PLoS ONE ◽

10.1371/journal.pone.0250292 ◽

2021 ◽

Vol 16 (4) ◽

pp. e0250292

Author(s):

Thomas J. Breen ◽

Benjamin Brueske ◽

Mandeep S. Sidhu ◽

Kianoush B. Kashani ◽

Nandan S. Anavekar ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Hospital Mortality ◽

Proportional Hazards ◽

Cox Proportional Hazards ◽

Post Discharge ◽

Cardiac Intensive Care Unit ◽

Variable Model ◽

Serum Chloride ◽

Cardiac Intensive Care

Purpose We sought to describe the association between serum chloride levels and mortality among unselected cardiac intensive care unit (CICU) patients. Materials and methods We retrospectively reviewed adult patients admitted to our CICU from 2007 to 2015. The association of dyschloremia and hospital mortality was assessed in a multiple variable model including additional confounders, and the association of dyschloremia and post-discharge mortality were assessed using Cox proportional-hazards analysis. Results 9,426 patients with a mean age of 67±15 years (37% females) were included. Admission hypochloremia was present in 1,384 (15%) patients, and hyperchloremia was present in 1,606 (17%) patients. There was a U-shaped relationship between admission chloride and unadjusted hospital mortality, with increased hospital mortality among patients with hypochloremia (unadjusted OR 3.0, 95% CI 2.5–3.6, p<0.001) or hyperchloremia (unadjusted OR 1.9, 95% CI 1.6–2.3, p<0.001). After multivariate adjustment, hypochloremia remained associated with higher hospital mortality (adjusted OR 2.1, 95% CI 1.6–2.9, p <0.001). Post-discharge mortality among hospital survivors was higher among patients with admission hypochloremia (adjusted HR 1.3, 95% CI 1.1–1.6; p<0.001). Conclusion Abnormal serum chloride on admission to the CICU is associated with increased short- and long-term mortality, with hypochloremia being a strong independent predictor.

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Validation of APACHE II, APACHE III and SAPS II scores in short- and long-term mortality prediction in a mixed intensive care unit in Poland: a cohort study

10.21203/rs.3.rs-24209/v2 ◽

2020 ◽

Author(s):

Szymon Czajka ◽

Katarzyna Ziębińska ◽

Konstanty Marczenko ◽

Barbara Posmyk ◽

Anna Szczepańska ◽

...

Keyword(s):

Intensive Care Unit ◽

Hospital Mortality ◽

Mortality Prediction ◽

Apache Ii ◽

Post Discharge ◽

Saps Ii ◽

Apache Iii ◽

Short And Long Term ◽

Long Term Mortality

Abstract Background. There are several scores used for in-hospital mortality prediction in critical illness. Their application in a local scenario requires validation to ensure appropriate diagnostic accuracy. Moreover, their use in assessing post-discharge mortality in intensive care unit (ICU) survivors has not been extensively studied. We aimed to validate APACHE II, APACHE III and SAPS II scores in short- and long-term mortality prediction in a mixed adult ICU in Poland. APACHE II, APACHE III and SAPS II scores, with corresponding predicted mortality ratios, were calculated for 303 consecutive patients admitted to a 10-bed ICU in 2016. Short-term (in-hospital) and long-term (12-month post-discharge) mortality was assessed.Results. Median APACHE II, APACHE III and SAPS II scores were 19 (IQR 12-24), 67 (36.5-88) and 44 (27-56) points, with corresponding in-hospital mortality ratios of 25.8% (IQR 12.1-46.0), 18.5% (IQR 3.8-41.8) and 34.8% (IQR 7.9-59.8). Observed in-hospital mortality was 35.6%. Moreover, 12-month post-discharge mortality reached 17.4%. All the scores predicted in-hospital mortality (p<0.05): APACHE II (AUC=0.78; 95%CI 0.73-0.83), APACHE III (AUC=0.79; 95%CI 0.74-0.84) and SAPS II (AUC=0.79; 95%CI 0.74-0.84); as well as mortality after hospital discharge (p<0.05): APACHE II (AUC=0.71; 95%CI 0.64-0.78), APACHE III (AUC=0.72; 95%CI 0.65-0.78) and SAPS II (AUC=0.69; 95%CI 0.62-0.76), with no statistically significant difference between the scores (p>0.05). The calibration of the scores was good.Conclusions. All the scores are acceptable predictors of in-hospital mortality. In the case of post-discharge mortality, their diagnostic accuracy is lower and of borderline clinical relevance. Further studies are needed to create scores estimating the long-term prognosis of subjects successfully discharged from the ICU.

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P665Outcomes of nonagenarians admitted to the cardiac intensive care unit and utility of the ERA score for long-term mortality risk stratification

European Heart Journal ◽

10.1093/eurheartj/ehx501.p665 ◽

2017 ◽

Vol 38 (suppl_1) ◽

Author(s):

A.N. Rosenbaum ◽

N. Naksuk ◽

S.M. Gharacholou ◽

J.A. Brenes-Salazar

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Risk Stratification ◽

Mortality Risk ◽

Cardiac Intensive Care Unit ◽

Cardiac Intensive Care ◽

Long Term Mortality

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Hyperoxia is associated with adverse outcomes in the cardiac intensive care unit: insights from the Medical Information Mart for Intensive Care (MIMI-III) database

European Heart Journal ◽

10.1093/ehjci/ehaa946.1837 ◽

2020 ◽

Vol 41 (Supplement_2) ◽

Author(s):

A.Y Lui ◽

L Garber ◽

M Vincent ◽

L Celi ◽

J Masip ◽

...

Keyword(s):

Intensive Care Unit ◽

Logistic Regression ◽

Intensive Care ◽

Hospital Mortality ◽

Adverse Outcomes ◽

Rank Test ◽

Positive Pressure ◽

Cardiac Intensive Care Unit ◽

Multivariable Logistic Regression ◽

Cardiac Intensive Care

Abstract Background Hyperoxia produces reactive oxygen species, apoptosis, and vasoconstriction, and is associated with adverse outcomes in patients with heart failure and cardiac arrest. Our aim was to evaluate the association between hyperoxia and mortality in patients (pts) receiving positive pressure ventilation (PPV) in the cardiac intensive care unit (CICU). Methods Patients admitted to our medical center CICU who received any PPV (invasive or non-invasive) from 2001 through 2012 were included. Hyperoxia was defined as time-weighted mean of PaO2 >120mmHg and non-hyperoxia as PaO2 ≤120mmHg during CICU admission. Primary outcome was in-hospital mortality. Multivariable logistic regression was used to assess the association between hyperoxia and in-hospital mortality adjusted for age, female sex, Oxford Acute Severity of Illness Score, creatinine, lactate, pH, PaO2/FiO2 ratio, PCO2, PEEP, and estimated time spent on PEEP. Results Among 1493 patients, hyperoxia (median PaO2 147mmHg) during the CICU admission was observed in 702 (47.0%) pts. In-hospital mortality was 29.7% in the non-hyperoxia group and 33.9% in the hyperoxia group ((log rank test, p=0.0282, see figure). Using multivariable logistic regression, hyperoxia was independently associated with in-hospital mortality (OR 1.507, 95% CI 1.311–2.001, p=0.00508). Post-hoc analysis with PaO2 as a continuous variable was consistent with the primary analysis (OR 1.053 per 10mmHg increase in PaO2, 95% CI 1.024–1.082, p=0.0002). Conclusions In a large CICU cohort, hyperoxia was associated with increased mortality. Trials of titration of supplemental oxygen across the full spectrum of critically ill cardiac patients are warranted. Funding Acknowledgement Type of funding source: None

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Abstract 15293: Noninvasive Echocardiographic Cardiac Power Output Predicts Mortality in Cardiac Intensive Care Unit Patients

Circulation ◽

10.1161/circ.142.suppl_3.15293 ◽

2020 ◽

Vol 142 (Suppl_3) ◽

Author(s):

Barry Burstein ◽

Vidhu Anand ◽

Bradley Ternus ◽

Meir Tabi ◽

Nandan S Anavekar ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Hospital Mortality ◽

Critically Ill ◽

Power Output ◽

Critically Ill Patients ◽

Cardiac Intensive Care Unit ◽

Cardiac Power ◽

The Mean ◽

Cardiac Intensive Care

Introduction: A low cardiac power output (CPO), measured invasively, identifies critically ill patients at increased risk of mortality. CPO can also be measured non-invasively with transthoracic echocardiography (TTE), although prognostic data in critically ill patients is not available. Hypothesis: Reduced CPO measured by TTE is associated with increased hospital mortality in cardiac intensive care unit (CICU) patients. Methods: Using a database of CICU patients admitted between 2007 and 2018, we identified patients with TTE within one day (before or after) of CICU admission who had data necessary for calculation of CPO. Multivariable logistic regression determined the relationship between CPO and adjusted hospital mortality. Results: We included 5,585 patients with a mean age of 68.3±14.8 years, including 36.7% females. Admission diagnoses included acute coronary syndrome (ACS) in 57%, heart failure (HF) in 50%, cardiac arrest (CA) in 12%, and cardiogenic shock (CS) in 13%. The mean left ventricular ejection fraction (LVEF) was 47±16%, and the mean CPO was 1.0±0.4 W. CPO was inversely associated with the risk of hospital mortality (Figure A), including among patients with ACS, HF, and CS (Figure B). On multivariable analysis, lower CPO was associated with higher hospital mortality (OR 0.96 per 0.1 W, 95% CI 0.0.93-0.99, p=0.03). Hospital mortality was highest in patients with low CPO coupled with reduced LVEF, increased vasopressor requirements, or higher admission lactate. Hospital mortality was higher among patients with a CPO <0.6 W (adjusted OR 1.57, 95% CI 1.13-2.19, p = 0.007), particularly in the presence of admission lactate level >4 mmol/L (50.9%). Conclusions: Echocardiographic CPO was inversely associated with hospital mortality in CICU patients, particularly among patients with increased lactate and vasopressor requirements. Routine measurement of CPO provides important information beyond LVEF and should be considered in CICU patients.

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Platelet-Lymphocyte Ratio as a New Predictor of In-hospital Mortality in Cardiac Intensive Care Unit Patients

10.21203/rs.3.rs-763264/v1 ◽

2021 ◽

Author(s):

Guangyao Zhai ◽

Biyang Zhang ◽

Jianlong Wang ◽

Yuyang Liu ◽

Yujie Zhou

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Cardiovascular Diseases ◽

Hospital Mortality ◽

Subgroup Analysis ◽

Cardiac Intensive Care Unit ◽

Lymphocyte Ratio ◽

Platelet Lymphocyte Ratio ◽

Cardiac Intensive Care ◽

The Relationship

Abstract Background: It has been discovered that both inflammation and platelet aggregation could cause crucial effect on the occurrence and development of cardiovascular diseases. As a combination of platelet and lymphocyte, platelet-lymphocyte ratio (PLR) was proved to be correlated with the severity as well as prognosis of cardiovascular diseases. Exploring the relationship between PLR and in-hospital mortality in cardiac intensive care unit (CICU) patients was the purpose of this study. Method: PLR was calculated by dividing platelet count by lymphocyte count. All patients were grouped by PLR quartiles and the primary outcome was in-hospital mortality. The independent effect of PLR was determined by binary logistic regression analysis. The curve in line with overall trend was drawn by local weighted regression (Lowess). Subgroup analysis was used to determine the relationship between PLR and in-hospital mortality in different subgroups. Result: We included 5577 CICU patients. As PLR quartiles increased, in-hospital mortality increased significantly (Quartile 4 vs Quartile 1: 13.9 vs 8.3, P <0.001). After adjusting for confounding variables, PLR was proved to be independently associated with increased risk of in-hospital mortality (Quartile 4 vs Quartile 1: OR, 95% CI: 1.99, 1.46-2.71, P<0.001, P for trend <0.001). The Lowess curves showed a positive relationship between PLR and in-hospital mortality. The subgroup analysis revealed that patients with low Acute Physiology and Chronic Health Evaluation IV (APACHE IV) or with less comorbidities had higher risk of mortality for PLR. Further, PLR quartiles had positive relation with length of CICU stay (Quartile 4 vs Quartile 1: 2.7, 1.6-5.2 vs 2.1, 1.3-3.9, P<0.001), and the length of hospital stay (Quartile 4 vs Quartile 1: 7.9, 4.6-13.1 vs 5.8, 3.3-9.8, P<0.001). Conclusion: PLR was independently associated with in-hospital mortality in CICU patients.

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Platelet-lymphocyte ratio as a new predictor of in-hospital mortality in cardiac intensive care unit patients

Scientific Reports ◽

10.1038/s41598-021-02686-1 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Guangyao Zhai ◽

Jianlong Wang ◽

Yuyang Liu ◽

Yujie Zhou

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Cardiovascular Diseases ◽

Hospital Mortality ◽

Subgroup Analysis ◽

Cardiac Intensive Care Unit ◽

Lymphocyte Ratio ◽

Platelet Lymphocyte Ratio ◽

Cardiac Intensive Care ◽

The Relationship

AbstractIt has been discovered that both inflammation and platelet aggregation could cause crucial effect on the occurrence and development of cardiovascular diseases. As a combination of platelet and lymphocyte, platelet-lymphocyte ratio (PLR) was proved to be correlated with the severity as well as prognosis of cardiovascular diseases. Exploring the relationship between PLR and in-hospital mortality in cardiac intensive care unit (CICU) patients was the purpose of this study. PLR was calculated by dividing platelet count by lymphocyte count. All patients were grouped by PLR quartiles and the primary outcome was in-hospital mortality. The independent effect of PLR was determined by binary logistic regression analysis. The curve in line with overall trend was drawn by local weighted regression (Lowess). Subgroup analysis was used to determine the relationship between PLR and in-hospital mortality in different subgroups. We included 5577 CICU patients. As PLR quartiles increased, in-hospital mortality increased significantly (Quartile 4 vs. Quartile 1: 13.9 vs. 8.3, P < 0.001). After adjusting for confounding variables, PLR was proved to be independently associated with increased risk of in-hospital mortality (Quartile 4 vs. Quartile 1: OR 95% CI 1.55, 1.08–2.21, P = 0.016, P for trend < 0.001). The Lowess curves showed a positive relationship between PLR and in-hospital mortality. The subgroup analysis revealed that patients with low Acute Physiology and Chronic Health Evaluation IV (APACHE IV) or with less comorbidities had higher risk of mortality for PLR. Further, PLR quartiles had positive relation with length of CICU stay (Quartile 4 vs. Quartile 1: 2.7, 1.6–5.2 vs. 2.1, 1.3–3.9, P < 0.001), and the length of hospital stay (Quartile 4 vs. Quartile 1: 7.9, 4.6–13.1 vs. 5.8, 3.3–9.8, P < 0.001). PLR was independently associated with in-hospital mortality in CICU patients.

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