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

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.

Changes in comorbidities, diagnoses, therapies and outcomes in a contemporary cardiac intensive care unit population.

Prior studies have demonstrated that the cardiac intensive care unit (CICU) patient population has evolved over time. We sought to describe the temporal changes in comorbidities, illness severity, diagnoses, procedures and adjusted mortality within our CICU practice in recent years. METHODS: We retrospectively reviewed unique CICU admissions at the Mayo Clinic from January 2007 to April 2018. Comorbidities, severity of illness scores, discharge diagnosis codes and CICU procedures and therapies were recorded, and temporal trends were assessed using linear regression and Cochran-Armitage trend tests. Trends in adjusted hospital mortality over time were assessed using multivariable logistic regression. RESULTS: We included 12,418 patients with a mean age of 67.6 years (including 37.7% females). Temporal trends in the prevalence of several comorbidities and discharge diagnoses were observed, reflecting an increase in the prevalence of non-coronary cardiovascular diseases, critical care diagnoses, and organ failure (all P ≪ .05). The use of several CICU therapies and procedures increased over time, including mechanical ventilation, invasive lines and vasoactive drugs (all P ≪ .05). A temporal decrease in adjusted hospital mortality was observed among the subgroup of patients with (adjusted OR per year 0.97, 95% CI 0.94-0.99, P = .023) and without (adjusted OR per year 0.91, 95% CI 0.85-0.96, P = .002) a critical care discharge diagnosis. CONCLUSIONS: We observed an increasing prevalence of critical care and organ failure diagnoses as well as increased utilization of critical care therapies in this CICU cohort, associated with a decrease in risk-adjusted hospital mortality over time.

When to incorporate point-of-care ultrasound (POCUS) into the initial assessment of acutely ill patients: a pilot crossover study to compare 2 POCUS-assisted simulation protocols.

BACKGROUND: The purpose of this study was to determine the ideal timing for providers to perform point-of-care ultrasound (POCUS) with the least increase in workload. METHODS: We conducted a pilot crossover study to compare 2 POCUS-assisted evaluation protocols for acutely ill patients: sequential (physical examination followed by POCUS) vs parallel (POCUS at the time of physical examination). Participants were randomly assigned to 2 groups according to which POCUS-assisted protocol (sequential vs parallel) was used during simulated scenarios. Subsequently, the groups were crossed over to complete assessment by using the other POCUS-assisted protocol in the same patient scenarios. Providers' workloads, measured with the National Aeronautics and Space Administration Task Load Index (NASA-TLX) and time to complete patient evaluation, were compared between the 2 protocols. RESULTS: Seven providers completed 14 assessments (7 sequential and 7 parallel). The median (IQR) total NASA-TLX score was 30 (30-50) in the sequential and 55 (50-65) in the parallel protocol (P = .03), which suggests a significantly lower workload in the sequential protocol. When individual components of the NASA-TLX score were evaluated, mental demand and frustration level were significantly lower in the sequential than in the parallel protocol (40 [IQR, 30-60] vs 50 [IQR, 40-70]; P = .03 and 25 [IQR, 20-35] vs 60 [IQR, 45-85]; P = .02, respectively). The time needed to complete the assessment was similar between the sequential and parallel protocols (8.7 [IQR, 6-9] minutes vs 10.1 [IQR, 7-11] minutes, respectively; P = .30). CONCLUSIONS: A sequential POCUS-assisted protocol posed less workload to POCUS operators than the parallel protocol.

Reliability and Validity of the Checklist for Early Recognition and Treatment of Acute Illness and Injury as a Charting Tool in the Medical Intensive Care Unit.

BACKGROUND: Resuscitation of critically ill patients is complex and potentially prone to diagnostic errors and therapeutic harm. The Checklist for early recognition and treatment of acute illness and injury (CERTAIN) is an electronic tool that aims to provide decision-support, charting, and prompting for standardization. This study sought to evaluate the validity and reliability of CERTAIN in a real-time Intensive Care Unit (ICU). MATERIALS AND METHODS: This was a prospective pilot study in the medical ICU of a tertiary care medical center. A total of thirty patient encounters over 2 months period were charted independently by two CERTAIN investigators. The inter-observer recordings and comparison to the electronic medical records (EMR) were used to evaluate reliability and validity, respectively. The primary outcome was reliability and validity measured using Cohen's Kappa statistic. Secondary outcomes included time to completion, user satisfaction, and learning curve. RESULTS: A total of 30 patients with a median age of 59 (42-78) years and median acute physiology and chronic health evaluation III score of 38 (23-50) were included in this study. Inter-observer agreement was very good (κ = 0.79) in this study and agreement between CERTAIN and the EMR was good (κ = 0.5). CERTAIN charting was completed in real-time that was 121 (92-150) min before completion of EMR charting. The subjective learning curve was 3.5 patients without differences in providers with different levels of training. CONCLUSIONS: CERTAIN provides a reliable and valid method to evaluate resuscitation events in real time. CERTAIN provided the ability to complete data in real-time.

Sex differences in cardiac arrest survivors who receive therapeutic hypothermia.

OBJECTIVE: Sex differences have not been well defined for patients undergoing therapeutic hypothermia (TH). We aimed to determine sex differences in mortality and Cerebral Performance Category (CPC) scores at discharge among those receiving TH. METHODS: This retrospective cohort study used data abstracted from an "ICE alert" database, an institutional protocol expediting mild TH for postarrest patients. Quality assurance variables (such as age, time to TH, CPC scores, and mortality) were reviewed and compared by sex. χ2 Test and Wilcoxon rank sum test were used. Stepwise logistic regression was used to assess the association between mortality and sex, while controlling for patient characteristics and clinical presentation of cardiac arrest. RESULTS: Three hundred thirty subjects were analyzed, 198 males and 132 females. Subjects' mean age (SD) was 61.7 years (15.0); there was no significant sex difference in age. There were no statistically significant sex differences in history of coronary artery disease, congestive heart failure, arrhythmia, hypertension, chronic obstructive pulmonary disease, renal disease, type 1 and/or type 2 diabetes mellitus, or those previously healthy. Obesity (body mass index>35 kg/m2) was more likely in females (37, 28.0%) than males (35, 17.7%); P=.03. Females (64, 49.6%) were more likely than males (71, 36.8%) to have shock; P=.02. There was no difference in arrest to initiating hypothermia, but there was a significant difference in time to target temperature (in median minutes, interquartile range): male (440, 270) vs female (310, 270), P=.003. There was no statistical difference in CPC at discharge. Crude mortality was not different between sexes: male, 67.7%; female, 70.5%; P=.594. However, after controlling for differences in age, obesity, shock, and other variables, females were less likely to die (odds ratio, 0.46; 95% confidence interval, 0.23-0.92; P=.03) than males. CONCLUSION: There is no statistically significant difference in CPC or crude mortality outcomes between sexes. After adjusting for confounders, females were 54% less likely to die than males.

Patients Aged 90 Years and Above With Acute Coronary Syndrome in the Cardiac Intensive Care Unit: Management and Outcomes.

Limited data exist regarding outcomes after coronary angiography (CAG) and percutaneous coronary intervention (PCI) in patients aged ≥90 years admitted to the cardiac intensive care unit (CICU) with acute coronary syndrome (ACS). We studied sequential CICU patients ≥90 years admitted with ACS from 2007 to 2018. Three therapeutic approaches were defined: (1) No CAG; (2) CAG without PCI (CAG/No PCI); and (3) CAG with PCI (CAG/PCI). In-hospital mortality was evaluated using multivariable logistic regression. All-cause 1-year mortality was evaluated using Kaplan-Meier and multivariable Cox proportional hazards analysis. The study included 239 patients with a median age of 92 (range 90 to 100) years (57% females; 45% ST-elevation myocardial infarction; 8% cardiac arrest; 16% shock). The No CAG group had higher Day 1 Sequential Organ Failure Assessment scores, more co-morbidities, worse kidney function, and fewer ST-elevation myocardial infarctions. In-hospital mortality was 20.8% overall and did not differ between the No CAG (n = 103; 21.4%), CAG/No PCI (n = 47; 21.3%), and CAG/PCI (n = 90; 20.0%) groups, before or after adjustment. Overall 1-year mortality was 52.5% and did not differ between groups before or after adjustment. Median survival was 6.9 months overall and 41.2% of hospital survivors died within 1 year of CICU admission. CICU patients aged ≥90 years with ACS have a substantial burden of illness with high in-hospital and 1-year mortality that was not lower in those who underwent CAG or PCI. These results suggest that careful patient selection for invasive coronary procedures is essential in this vulnerable population.

Cardiogenic Shock Classification and Associated Mortality Risk.

The Society for Cardiovascular Angiography and Interventions (SCAI) Shock Classification was developed to create standardized language describing the severity of cardiogenic shock (CS). The purposes of this review were to evaluate short-term and long-term mortality rates at each SCAI shock stage for patients with or at risk for CS, which has not been studied previously, and to propose using the SCAI Shock Classification to develop algorithms for clinical status monitoring. A detailed literature search was conducted for articles published from 2019 through 2022 in which the SCAI shock stages were used to assess the mortality risk. In total, 30 articles were reviewed. The SCAI Shock Classification at hospital admission revealed a consistent and reproducible graded association between shock severity and mortality risk. Furthermore, shock severity correlated incrementally with mortality risk even after patients were stratified for diagnosis, treatment modalities, risk modifiers, shock phenotype, and underlying cause. The SCAI Shock Classification system can be used to evaluate mortality across populations of patients with or at risk for CS including those with different causes, shock phenotypes, and comorbid conditions. We propose an algorithm that uses clinical parameters incorporating the SCAI Shock Classification into the electronic health record to continually reassess and reclassify the presence and severity of CS across time throughout hospitalization. The algorithm has the potential to alert the care team and a CS team, leading to earlier recognition and stabilization of the patient, and may facilitate the use of treatment algorithms and prevent CS deterioration, leading to improved outcomes.

Noninvasive Hemodynamic Characterization of Shock and Preshock Using Echocardiography in Cardiac Intensive Care Unit Patients.

BACKGROUND: Shock and preshock are defined on the basis of the presence of hypotension, hypoperfusion, or both. We sought to determine the hemodynamic underpinnings of shock and preshock noninvasively using transthoracic echocardiography (TTE). METHODS AND RESULTS: We included Mayo Clinic cardiac intensive care unit patients from 2007 to 2015 with TTE within 1 day of admission. Hypotension and hypoperfusion at the time of cardiac intensive care unit admission were used to define 4 groups. TTE findings were evaluated across these groups, and in-hospital mortality was evaluated according to TTE findings in each group. We included 5375 patients with a median age of 69.2 years (36.8% women). The median left ventricular ejection fraction was 50%. Groups based on hypotension and hypoperfusion were assigned as follows: no hypotension or hypoperfusion, 59.7%; isolated hypotension, 15.3%; isolated hypoperfusion, 16.4%; and both hypotension and hypoperfusion, 8.7%. Most TTE variables of interest varied across these groups, with worse biventricular function, lower forward flow, and higher filling pressures as the degree of hemodynamic compromise increased. In-hospital mortality occurred in 8.2%, and inpatient deaths had more TTE parameter abnormalities. In-hospital mortality increased with the degree of hemodynamic compromise, and a marked gradient in in-hospital mortality was observed when the clinical classification of shock and preshock was combined with TTE findings reflecting worse biventricular function, lower forward flow, or higher filling pressures. CONCLUSIONS: Substantial differences in cardiac function are observed between cardiac intensive care unit patients with preshock and shock using TTE, and the combination of the clinical and TTE hemodynamic assessment provides robust mortality risk stratification.

Venoarterial Extracorporeal Membrane Oxygenation After Autologous Stem Cell Transplantation With Pancytopenia: JACC Patient Care Pathways.

Venoarterial extracorporeal membrane oxygenation (VA-ECMO) provides temporary mechanical circulatory support and simultaneous extracorporeal gas exchange for acute cardiorespiratory failure. By providing circulatory support, VA-ECMO gives treatments time to reach optimal efficacy or may be used as a bridge to a more durable mechanical solution for patients with acute cardiopulmonary failure. It is commonly used when a readily reversible etiology of decompensation is identified with very strict inclusion criteria for extracorporeal cardiopulmonary resuscitation use. We present a unique case in which VA-ECMO/extracorporeal cardiopulmonary resuscitation was used after cardiac arrest with pulseless electrical activity in a patient with recurrent lymphoma of the left thigh with recent autologous stem cell transplant.

Venoarterial Extracorporeal Membrane Oxygenation After Autologous Stem Cell Transplantation With Pancytopenia: JACC Patient Care Pathways.

Venoarterial extracorporeal membrane oxygenation (VA-ECMO) provides temporary mechanical circulatory support and simultaneous extracorporeal gas exchange for acute cardiorespiratory failure. By providing circulatory support, VA-ECMO gives treatments time to reach optimal efficacy or may be used as a bridge to a more durable mechanical solution for patients with acute cardiopulmonary failure. It is commonly used when a readily reversible etiology of decompensation is identified with very strict inclusion criteria for extracorporeal cardiopulmonary resuscitation use. We present a unique case in which VA-ECMO/extracorporeal cardiopulmonary resuscitation was used after cardiac arrest with pulseless electrical activity in a patient with recurrent lymphoma of the left thigh with recent autologous stem cell transplant.

Braden Skin Score Subdomains Predict Mortality Among Cardiac Intensive Care Patients.

BACKGROUND: The Braden Skin Score (BSS) is a bedside nursing assessment that may be a measure of frailty and predicts mortality among patients in the cardiac intensive care unit (CICU). We examined the association between each of the 6 individual BSS subscores with hospital mortality in patients in the CICU. We hypothesized that BSS subscores reflecting patient frailty would have a stronger association with outcomes. METHODS: Retrospective cohort study of unique adult patients admitted to the Mayo Clinic CICU from 2007 to 2018 with BSS documented on admission. Primary outcome was all-cause hospital mortality. Odds ratios (ORs) were determined using multivariable logistic regression. RESULTS: The 11,954 included patients had a mean age of 67.4 ± 15.2 years (37.8% women). Each individual BSS subscore was lower among patients who died in the hospital (all P < .001). The total BSS was inversely associated with in-hospital mortality across admission diagnoses and among patients with coma or mechanical ventilation; each individual subscore was inversely associated with in-hospital mortality. On multivariable regression, all subscores were inversely associated with hospital mortality after full adjustment. Shear had the strongest association (adjusted OR 0.59), followed by nutrition (adjusted OR 0.67), skin moisture (adjusted OR 0.76), mobility (adjusted OR 0.76), sensory perception (adjusted OR 0.82), and activity level (adjusted OR 0.85). CONCLUSION: BSS can serve as a rapid noninvasive screening tool for identifying poor outcomes in patients in the CICU. BSS subdomains that are more strongly associated with mortality appear to reflect physical frailty. Insofar as the BSS and its subscores measure frailty, a low BSS may identify frail patients.

Noninvasive Hemodynamic Assessment of Shock Severity and Mortality Risk Prediction in the Cardiac Intensive Care Unit.

OBJECTIVES: This study sought to define the 2-dimensional and Doppler echocardiographic hemodynamics associated with each Society for Cardiovascular Angiography and Interventions (SCAI) stage, and to determine their association with mortality. BACKGROUND: The SCAI shock stages classification stratifies mortality risk in cardiac intensive care unit (CICU) patients, but the echocardiographic and hemodynamic parameters that define these SCAI shock stages are unknown. METHODS: Unique CICU patients admitted from 2007 to 2015 who had a transthoracic echocardiogram within 1 day of CICU admission were included. Echocardiographic variables were evaluated as a function of SCAI shock stage. Multivariable logistic regression determined the association between echocardiographic parameters with adjusted hospital mortality. RESULTS: We included 5,453 patients with a median age of 69.3 years (interquartile range: 58.2 to 79.0 years) (37% women), and a median left ventricular ejection fraction (LVEF) of 50% (interquartile range: 35% to 61%). Higher SCAI shock stages were associated with lower LVEF and worse systemic hemodynamics. Hospital mortality was higher in patients with LVEF <40%, cardiac index <1.8 l/min/m2, stroke volume index <35 ml/m2, cardiac power output <0.6 W, or medial early mitral valve inflow velocity to early diastolic annular velocity (E/e') ratio >15 (particularly in SCAI shock Stages A to C). After multivariable adjustment, only stroke volume index <35 ml/m2 (adjusted odds ratio: 2.0; 95% confidence interval: 1.4 to 3.0; p < 0.001) and E/e' ratio >15 (adjusted odds ratio: 1.52; 95% confidence interval: 1.04 to 2.23; p = 0.03) remained associated with higher hospital mortality. CONCLUSIONS: Noninvasive 2-dimensional and Doppler echocardiographic parameters correlate with the SCAI shock stages and improve risk stratification for hospital mortality in CICU patients. Low stroke volume index and high E/e' ratio demonstrated the strongest association with hospital mortality.

Predicting 1-Year Mortality on Admission Using the Mayo Cardiac Intensive Care Unit Admission Risk Score.

OBJECTIVE: To determine whether the Mayo Cardiac Intensive Care Unit (CICU) Admission Risk Score (M-CARS) accurately predicts 1-year mortality. METHODS: We retrospectively reviewed adult CICU patients admitted from January 1, 2007, through April 30, 2018, and calculated M-CARS using admission data. We examined the association between admission M-CARS, as continuous and categorical variables, and 1-year mortality. RESULTS: This study included 12,428 unique patients with a mean age of 67.6±15.2 years (4686 [37.7%] female). A total of 2839 patients (22.8%) died within 1 year of admission, including 1149 (9.2%) hospital deaths and 1690 (15.0%) of the 11,279 hospital survivors. The 1-year survival decreased incrementally as a function of increasing M-CARS (P<.001), and all components of M-CARS were significant predictors of 1-year mortality (P<.001). The 1-year survival among hospital survivors decreased incrementally as a function of increasing M-CARS for scores below 3 (all P<.001); however, there was no further decrease in 1-year survival for hospital survivors with M-CARS of 3 or more (P=.99). The M-CARS components associated with 1-year mortality among hospital survivors included blood urea nitrogen, red blood cell distribution width, Braden skin score, and respiratory failure (all P<.001). CONCLUSION: M-CARS predicted 1-year mortality among CICU admissions, with a plateau effect at high M-CARS of 3 or more for hospital survivors. Significant added predictors of 1-year mortality among hospital survivors included markers of frailty and chronic illness.

Updated Experience of Mycobacterium chimaera Infection: Diagnosis and Management in a Tertiary Care Center.

BACKGROUND: Despite safety communications from the Food and Drug Administration (FDA) regarding the outbreak of Mycobacterium chimaera infections (MCIs) from contaminated heater-cooler devices, new cases continue to be identified. METHODS: We retrospectively reviewed confirmed cases of MCI that were managed at Mayo Clinic sites (Arizona, Florida, and Minnesota) from 09/2015 to 01/2021. Clinical histories including prior cardiovascular surgery were recorded. Diagnostic workup including ophthalmologic examination, imaging, and laboratory testing was reviewed. Treatment and survival outcomes on follow-up were obtained. RESULTS: Twelve patients with MCI were included. All patients had aortic valve or graft replacement. Five patients had their surgical procedures following the 10/15/2015 FDA safety communication. The mean time from surgery to symptom onset (range) was 32 (13-73) months. Ten of 11 patients who underwent ophthalmologic examination had chorioretinal abnormalities. Three patients who underwent microbial cell-free deoxyribonucleic acid sequencing tested positive for M. chimaera, which was subsequently confirmed with blood culture growth. Echocardiography and positron emission tomography/computed tomography (PET/CT) revealed evidence of prosthetic valve/graft infection in 7/12 (58.3%) and 6/10 (60.0%) of cases, respectively. Seven patients (58.3%) underwent redo cardiovascular surgery. Of these, 1 patient died 2 days postdischarge, 1 experienced spinal osteomyelitis relapse, and another had interval prosthetic valve fluorodeoxyglucose (FDG) uptake on PET/CT suspicious for recurrent infection. Among 4 patients on medical therapy only, 3 expired or transitioned to hospice during follow-up. CONCLUSIONS: MCI continues to occur despite the FDA communications. Incorporation of ophthalmologic examination and use of advanced tools may improve MCI diagnosis. The mortality in these patients is high even with aggressive surgical/medical management.

The Mayo Cardiac Intensive Care Unit Admission Risk Score is Associated with Medical Resource Utilization During Hospitalization.

OBJECTIVE: To determine whether the Mayo Cardiac Intensive Care Unit (CICU) Admission Risk Score (M-CARS) is associated with CICU resource utilization. PATIENTS AND METHODS: Adult patients admitted to our CICU from 2007 to 2018 were retrospectively reviewed, and M-CARS was calculated from admission data. Groups were compared using Wilcoxon test for continuous variables and χ2 test for categorical variables. RESULTS: We included 12,428 patients with a mean age of 67±15 years (37% female patients). The mean M-CARS was 2.1±2.1, including 5890 (47.4%) patients with M-CARS less than 2 and 644 (5.2%) patients with M-CARS greater than 6. Critical care restricted therapies were frequently used, including mechanical ventilation in 28.0%, vasoactive medications in 25.5%, and dialysis in 4.8%. A higher M-CARS was associated with greater use of critical-care therapies and longer CICU and hospital length of stay. The low-risk cohort with M-CARS less than 2 was less likely to require critical-care-restricted therapies, including invasive or noninvasive mechanical ventilation (8.0% vs 46.1%), vasoactive medications (10.1% vs 38.8%), or dialysis (1.0% vs 8.2%), compared with patients with M-CARS greater than or equal to 2 (all P<.001). CONCLUSION: Patients with M-CARS less than 2 infrequently require critical-care resources and have extremely low mortality, suggesting that the M-CARS could be used to facilitate the triage of critically ill cardiac patients.

A Collaborative Multidisciplinary Approach to the Management of Coronavirus Disease 2019 in the Hospital Setting.

The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), which presents an unprecedented challenge to medical providers worldwide. Although most SARS-CoV-2-infected individuals manifest with a self-limited mild disease that resolves with supportive care in the outpatient setting, patients with moderate to severe COVID-19 will require a multidisciplinary collaborative management approach for optimal care in the hospital setting. Laboratory and radiologic studies provide critical information on disease severity, management options, and overall prognosis. Medical management is mostly supportive with antipyretics, hydration, oxygen supplementation, and other measures as dictated by clinical need. Among its medical complications is a characteristic proinflammatory cytokine storm often associated with end-organ dysfunction, including respiratory failure, liver and renal insufficiency, cardiac injury, and coagulopathy. Specific recommendations for the management of these medical complications are discussed. Despite the issuance of emergency use authorization for remdesivir, there are still no proven effective antiviral and immunomodulatory therapies, and their use in COVID-19 management should be guided by clinical trial protocols or treatment registries. The medical care of patients with COVID-19 extends beyond their hospitalization. Postdischarge follow-up and monitoring should be performed, preferably using telemedicine, until the patients have fully recovered from their illness and are released from home quarantine protocols.

Hemodynamic profiles following digoxin use in patients with sepsis in the ICU.

PURPOSE: To explore the impact of digoxin on hemodynamic parameters in patients with sepsis and tachycardia admitted to the intensive care unit. MATERIALS AND METHODS: Retrospective review of adult patients admitted to the medical and mixed ICU at Mayo Clinic Rochester, Minnesota from March 2008 to February 2018, initiated on digoxin within 24 h of ICU stay. Hemodynamic parameters were reviewed before digoxin administration and at 6, 12 and 24 h after. Adverse events including new onset conduction abnormalities or arrhythmias during the first 48 h after digoxin administration were reviewed by a critical care cardiologist. RESULTS: Study included 180 patients. We observed significant decrease in heart rate from 124 (115-138) beats/min 1 h before digoxin to 101 (87-117) 6 h after digoxin and 94 (84-112) 12 h after (p < .01). Median systolic blood pressure increased from 100 (91-112) mm Hg 1 h before to 110 (100-122) (p < .01) and 111 (103-124) at 6 and 12 h respectively after digoxin. CONCLUSIONS: Early digoxin administration in patients with sepsis and tachycardia is uncommon but associated with improvements of hemodynamic parameters. These preliminary results will help formulate future hypotheses for focused trials on utility, efficacy and safety of digoxin in sepsis.

Severity of illness assessment with application of the APACHE IV predicted mortality and outcome trends analysis in an academic cardiac intensive care unit.

PURPOSE: To assess trends in life support interventions and performance of the automated Acute Physiology and Chronic Health Evaluation (APACHE) IV model at mortality prediction compared with Oxford Acute Severity of Illness Score (OASIS) in a contemporary cardiac intensive care unit (CICU). METHODS AND MATERIALS: Retrospective analysis of adults (age ≥ 18 years) admitted to CICU from January 1, 2007, through December 31, 2015. Temporal trends were assessed with linear regression. Discrimination of each risk score for hospital mortality was assessed with use of area under the receiver operating characteristic curve (AUROC) values. Calibration was assessed with Hosmer-Lemeshow goodness-of-fit test. RESULTS: The study analyzed 10,004 patients. CICU and hospital mortality rates were 5.7% and 9.1%. APACHE IV predicted death had an AUROC of 0.82 (0.81-0.84) for hospital death, compared with 0.79 for OASIS (P < .05). Calibration was better for OASIS than APACHE IV. Increases were observed in CICU and hospital lengths of stay (both P < .001), APACHE IV predicted mortality (P = .007), Charlson Comorbidity Index (P < .001), noninvasive ventilation use (P < .001), and noninvasive ventilation days (P = .02). CONCLUSIONS: Contemporary CICU patients are increasingly ill, observed in upward trends in comorbid conditions and life support interventions. APACHE IV predicted death and OASIS showed good discrimination in predicting death in this population. APACHE IV and OASIS may be useful for benchmarking and quality improvement initiatives in the CICU, the former having better discrimination.