Abstract 417: The Prognostic Value of Lactate in Cardiac Intensive Care Unit Patients With and Without Cardiac Arrest

Introduction: Lactate is a known prognostic marker in critically ill patients, including patients with shock and cardiac arrest (CA). We sought to describe the association between admission lactate and hospital mortality in cardiac intensive care unit (CICU) patients, particularly those with CA. Methods: We retrospectively evaluated adult patients admitted to a tertiary care CICU from January 1, 2007, to April 30, 2018, with measured lactate on admission. We examined hospital mortality as a function of admission lactate level in patients with and without CA. Multivariable logistic regression was used to determine predictors of hospital mortality in the overall cohort, after adjustment for clinical characteristics, therapies, and illness severity. Results: We included 3,042 patients with a median age of 70 years (IQR 60-80), including 40.5% (n=1,233) females. There were 789 patients (26.1%) with a diagnosis of CA. The median APACHE-4 predicted mortality was 24.2% (IQR 10.9-50.7), and 50.8% (n=1546) were treated with vasoactive infusions. The median lactate on admission was 1.8 mmol/L (IQR 1.1-3.0). CICU mortality occurred in 478 (15.7%) patients) and hospital mortality occurred in 706 (23.2%) patients. Hospital mortality rose progressively as a function of admission lactate ( Figure ). On univariable analysis, lactate was associated with increased hospital mortality among the overall cohort (OR 1.36, CI 1.31-1.42, P < .001; AUROC 0.71), patients with CA (OR 1.33 (95% CI 1.25-1.41, P < .01; AUROC 0.73), and patients without CA (OR 1.27, CI 1.21-1.34, P < .01; AUROC 0.64). On multivariable analysis, lactate was one of the most significant predictors of hospital mortality (adjusted OR 1.13 per mmol/L, 95% CI 1.08-1.18, P < .001). Conclusions: Admission lactate levels are strongly associated with increased hospital mortality among CICU patients, especially those with CA. The prognostic value of lactate levels may help inform clinicians caring for CICU patients.

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The Prognostic Value of Lactate in Cardiac Intensive Care Unit Patients with Cardiac Arrest and Shock

Shock ◽

10.1097/shk.0000000000001582 ◽

2020 ◽

Vol Publish Ahead of Print ◽

Cited By ~ 1

Author(s):

Barry Burstein ◽

Saraschandra Vallabhajosyula ◽

Bradley Ternus ◽

Gregory W. Barsness ◽

Kianoush Kashani ◽

...

Keyword(s):

Intensive Care Unit ◽

Cardiac Arrest ◽

Intensive Care ◽

Prognostic Value ◽

Cardiac Intensive Care Unit ◽

Cardiac Intensive Care

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Trends in Therapy and Outcomes Associated With Respiratory Failure in Patients Admitted to the Cardiac Intensive Care Unit

Journal of Intensive Care Medicine ◽

10.1177/08850666211003489 ◽

2021 ◽

pp. 088506662110034

Author(s):

Jacob C. Jentzer ◽

Carlos L. Alviar ◽

P. Elliott Miller ◽

Thomas Metkus ◽

Courtney E. Bennett ◽

...

Keyword(s):

Intensive Care Unit ◽

Cardiac Arrest ◽

Intensive Care ◽

Respiratory Failure ◽

Hospital Mortality ◽

Temporal Trends ◽

Invasive Ventilation ◽

Cardiac Intensive Care Unit ◽

Cardiac Intensive Care ◽

Over Time

Purpose: To describe the epidemiology, outcomes, and temporal trends of respiratory failure in the cardiac intensive care unit (CICU). Materials and Methods: Retrospective cohort analysis of 2,986 unique Mayo Clinic CICU patients from 2007 to 2018 with respiratory failure. Temporal trends were analyzed, along with hospital and 1-year mortality. Multivariable logistic regression was used to determine adjusted hospital mortality trends. Results: The prevalence of respiratory failure in the CICU increased from 15% to 38% during the study period ( P < 0.001 for trend). Among patients with respiratory failure, the utilization of invasive ventilation decreased and noninvasive ventilation modalities increased over time. Hospital mortality and 1-year mortality were 24% and 54%, respectively, with variation according to the type of respiratory support (highest among patients receiving invasive ventilation alone: 35% and 46%, respectively). Hospital mortality was highest among patients with concomitant cardiac arrest and/or shock (52% for patients with both). Hospital mortality decreased in the overall population from 35% to 25% ( P < 0.001 for trend), but was unchanged among patients receiving positive-pressure ventilation. Conclusions: The prevalence of respiratory failure in CICU more than doubled during the last decade. The use of noninvasive respiratory support increased, while overall mortality declined over time. Cardiac arrest and shock accounted for the majority of deaths. Further research is needed to optimize the outcomes of high-risk CICU patients with respiratory failure.

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Transition From an Open to Closed Staffing Model in the Cardiac Intensive Care Unit Improves Clinical Outcomes

Journal of the American Heart Association ◽

10.1161/jaha.120.018182 ◽

2021 ◽

Author(s):

P. Elliott Miller ◽

Fouad Chouairi ◽

Alexander Thomas ◽

Yukiko Kunitomo ◽

Faisal Aslam ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Hospital Mortality ◽

Clinical Outcomes ◽

Tertiary Care ◽

Hospital Charges ◽

Open Unit ◽

Surgical Intensive Care ◽

Cardiac Intensive Care Unit ◽

Cardiac Intensive Care

Background Several studies have shown improved outcomes in closed compared with open medical and surgical intensive care units. However, very little is known about the ideal organizational structure in the modern cardiac intensive care unit (CICU). Methods and Results We retrospectively reviewed consecutive unique admissions (n=3996) to our tertiary care CICU from September 2013 to October 2017. The aim of our study was to assess for differences in clinical outcomes between an open compared with a closed CICU. We used multivariable logistic regression adjusting for demographics, comorbidities, and severity of illness. The primary outcome was in‐hospital mortality. We identified 2226 patients in the open unit and 1770 in the closed CICU. The unadjusted in‐hospital mortality in the open compared with closed unit was 9.6% and 8.9%, respectively ( P =0.42). After multivariable adjustment, admission to the closed unit was associated with a lower in‐hospital mortality (odds ratio [OR], 0.69; 95% CI: 0.53–0.90, P =0.007) and CICU mortality (OR, 0.70; 95% CI, 0.52–0.94, P =0.02). In subgroup analysis, admissions for cardiac arrest (OR, 0.42; 95% CI, 0.20–0.88, P =0.02) and respiratory insufficiency (OR, 0.43; 95% CI, 0.22–0.82, P =0.01) were also associated with a lower in‐hospital mortality in the closed unit. We did not find a difference in CICU length of stay or total hospital charges ( P >0.05). Conclusions We found an association between lower in‐hospital and CICU mortality after the transition to a closed CICU. These results may help guide the ongoing redesign in other tertiary care CICUs.

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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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Cardiopulmonary resuscitation: special considerations for infants and children with cardiac disease

Cardiology in the Young ◽

10.1017/s1047951107001229 ◽

2007 ◽

Vol 17 (S4) ◽

pp. 116-126 ◽

Cited By ~ 26

Author(s):

Stacie B. Peddy ◽

Mary Fran Hazinski ◽

Peter C. Laussen ◽

Ravi R. Thiagarajan ◽

George M. Hoffman ◽

...

Keyword(s):

Intensive Care Unit ◽

Cardiac Arrest ◽

Intensive Care ◽

Cardiopulmonary Resuscitation ◽

Intensive Care Units ◽

Cardiac Disease ◽

Paediatric Intensive Care ◽

Cardiac Intensive Care Unit ◽

Cardiac Intensive Care ◽

Paediatric Intensive Care Units

AbstractPulseless cardiac arrest, defined as the cessation of cardiac mechanical activity, determined by unresponsiveness, apneoa, and the absence of a palpable central pulse, accounts for around one-twentieth of admissions to paediatric intensive care units, be they medical or exclusively cardiac. Such cardiac arrest is higher in children admitted to a cardiac as opposed to a paediatric intensive care unit, but the outcome of these patients is better, with just over two-fifths surviving when treated in the cardiac intensive care unit, versus between one-sixth and one-quarter of those admitted to paediatric intensive care units. Children who receive chest compressions for bradycardia with pulses have a significantly higher rate of survival to discharge, at 60%, than do those presenting with pulseless cardiac arrest, with only 27% surviving to discharge. This suggests that early resuscitation before the patient becomes pulseless, along with early recognition and intervention, are likely to improve outcomes. Recently published reports of in-hospital cardiac arrests in children can be derived from the multi-centric National Registry of Cardiopulmonary Resuscitation provided by the American Heart Association. The population is heterogeneous, but most arrests occurred in children with progressive respiratory insufficiency, and/or progressive circulatory shock. During the past 4 years at the Children’s Hospital of Philadelphia, 3.1% of the average 1000 annual admissions to the cardiac intensive care unit have received cardiopulmonary resuscitation. Overall survival of those receiving cardiopulmonary resuscitation was 46%. Survival was better for those receiving cardiopulmonary resuscitation after cardiac surgery, at 53%, compared with survival of 33% for pre-operative or non-surgical patients undergoing resuscitation. Clearly there is room for improvement in outcomes from cardiac resuscitation in children with cardiac disease. In this review, therefore, we summarize the newest developments in paediatric resuscitation, with an expanded focus upon the unique challenges and importance of anticipatory care in infants and children with cardiac disease.

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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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Influence of cardiac arrest and SCAI shock stage on cardiac intensive care unit mortality

Catheterization and Cardiovascular Interventions ◽

10.1002/ccd.28854 ◽

2020 ◽

Vol 96 (7) ◽

pp. 1350-1359 ◽

Cited By ~ 8

Author(s):

Jacob C. Jentzer ◽

Timothy D. Henry ◽

Gregory W. Barsness ◽

Venu Menon ◽

David A. Baran ◽

...

Keyword(s):

Intensive Care Unit ◽

Cardiac Arrest ◽

Intensive Care ◽

Intensive Care Unit Mortality ◽

Cardiac Intensive Care Unit ◽

Cardiac Intensive Care

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Prognostic value of automated pupillometry: an unselected cohort from a cardiac intensive care unit

European Heart Journal Acute Cardiovascular Care ◽

10.1177/2048872619842004 ◽

2019 ◽

Vol 9 (7) ◽

pp. 779-787 ◽

Cited By ~ 5

Author(s):

Laust Obling ◽

Christian Hassager ◽

Charlotte Illum ◽

Johannes Grand ◽

Sebastian Wiberg ◽

...

Keyword(s):

Intensive Care Unit ◽

Cardiac Arrest ◽

Intensive Care ◽

Area Under The Curve ◽

Youden Index ◽

Cardiac Intensive Care Unit ◽

Infrared Pupillometry ◽

Cardiac Intensive Care ◽

Neurological Pupil Index ◽

Hospital Cardiac Arrest

Background: Patients admitted to a cardiac intensive care unit are often unconscious with uncertain prognosis. Automated infrared pupillometry for neurological assessment in the intensive care unit may provide early prognostic information. This study aimed to determine the prognostic value of automated pupillometry in different subgroups of patients in a cardiac intensive care unit with 30-day mortality as the primary endpoint and neurological outcome as the secondary endpoint. Methods: A total of 221 comatose patients were divided into three groups: out-of-hospital cardiac arrest, in-hospital cardiac arrest and others (i.e. patients with cardiac diagnoses other than cardiac arrest). Automated pupillometry was serially performed until discharge or death and pupil measurements were analysed using the neurological pupil index algorithm. We applied receiver operating characteristic curves in univariable and multivariable logistic regression models and a calculated Youden index identified neurological pupil index cut-off values at different specificities. Results: In out-of-hospital cardiac arrest patients higher neurological pupil index values were independently associated with lower 30-day mortality. The univariable model for 30-day mortality had an area under the curve of 0.87 and the multivariable model achieved an area under the curve of 0.94. The Youden index identified a neurological pupil index cut-off in out-of-hospital cardiac arrest patients of 2.40 for a specificity of 100%. For patients with in-hospital cardiac arrest and other cardiac diagnoses, we found no association between neurological pupil index values and 30-day mortality, and the univariable models showed poor predictive values. Conclusion: Automated infrared pupillometry has promising predictive value after out-of-hospital cardiac arrest, but poor predictive value in patients with in-hospital cardiac arrest or cardiac diagnoses unrelated to cardiac arrest. Our data suggest a possible neurological pupil index cut-off of 2.40 for poor outcome in out-of-hospital cardiac arrest patients.

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