Bennett, Courtney

Introduction: Mycobacterium Chimaera (MC) infections following cardiovascular surgery are challenging to diagnose given their insidious presentation. We therefore reviewed the various imaging modalities used to diagnose these infections at Mayo Clinic. Methods: Cases from 01/01/2010-06/01/2020 were identified using electronic medical records. Demographics and clinical history were collected. Imaging studies, including transthoracic echocardiogram (TTE), transesophageal echocardiogram (TEE), positron emission tomography / computed tomography (PET/CT), cardiac CT (CCT), and cardiac magnetic resonance (CMR) were reviewed. Results: A total of 7 patients (85.7% male) were found. 6 underwent aortic valve replacement and 1 received an aortic composite valve conduit. Surgical dates ranged from 01/2010-12/2018. Mean age at presentation was 63.3 years. Mean time from surgery to symptom onset was 28.0 months. All patients underwent TTE and TEE; prosthetic valve endocarditis was identified in 6 cases between both, while CMR established the diagnosis in 1 case. TTE showed prosthetic valve obstruction in 2 cases and an anterior pseudoaneurysm in 1 case. TEE findings included thickened prosthesis and/or vegetations (n=5), thickened posterior root (n=4), and root abscess (n=3). Among the 3 patients who underwent PET/CT, 2 demonstrated increased fluorodeoxyglucose (FDG) uptake around the aortic prosthesis; in addition, 1 had elevated FDG uptake in the myocardium suggesting myocarditis. 1 patient did not have aortic prosthesis FDG uptake. In the 2 patients who had CCT, 1 showed a pseudoaneurysm that prompted suspicion for endocarditis, and the other revealed a fluid collection adjacent to the aortic valve conduit. 2 patients underwent CMR; 1 had aortic prosthesis thickening and patchy areas of myocardial delayed enhancement suspicious for myocarditis, whereas the other showed vegetation and an aortic root abscess. Conclusion: TTE plus TEE successfully identified MC prosthetic valve endocarditis in most cases with TEE having higher specificity. Advanced imaging techniques are helpful to support the diagnosis and assess for myocardial and/or aortic involvement. Combining these modalities is therefore crucial in unveiling this elusive organism.

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.

Background: With the rising cost of critical care and limited availability of critical care resources, improvements are need in the current cardiac intensive care unit (CICU) triage process. We sought to determine whether the Mayo Clinic Intensive Care Unit Admission Risk Score (M-CARS) could be used to predict which CICU patients will require critical care resources. Methods: Adult patients admitted to our CICU from 2007 to 2018 were retrospectively reviewed. The M-CARS was calculated using data from the time of admission. Groups were compared using Wilcoxon test for continuous variables and chi-squared test for categorical variables. Results: We included 12,428 patients with a mean age of 67 ± 15 years (37% females). The mean M-CARS was 2.1 ± 2.1, including 5,890 (47.4%) patients with M-CARS <2 and 644 (5.2%) patients with M-CARS >6. Critical care therapies were frequently used, including mechanical ventilation in 28.0%, vasoactive medications in 25.5%, dialysis in 4.8% and invasive lines in 44.3%. The low-risk cohort with M-CARS <2 was less likely to require invasive or noninvasive mechanical ventilation (8.0% vs. 46.1%), vasoactive medications (10.1% vs. 38.8%), dialysis (1.0% vs. 8.2%) or invasive lines (34.6% vs. 53.0%), as compared to patients with M-CARS ≥2 (all p<0.001). A higher M-CARS was associated with greater use of critical care therapies and longer CICU and hospital length of stay. Conclusions: In addition to predicting hospital mortality, the M-CARS predicts resource utilization during CICU admission and could be used in the triage of critically ill cardiac patients. Patients with M-CARS <2 infrequently require critical care resources and have extremely low mortality, yet account for nearly half of all CICU admissions, suggesting a potential to avoid CICU admission in many patients.

AbstractBackgroundNoncardiac organ failure has been associated with worse outcomes among a cardiac intensive care unit (CICU) population.HypothesisWe hypothesized that early organ failure based on the sequential organ failure assessment (SOFA) score would be associated with mortality in CICU patients.MethodsAdult CICU patients from 2007 to 2015 were reviewed. Organ failure was defined as any SOFA organ subscore ≥3 on the first CICU day. Organ failure was evaluated as a predictor of hospital mortality and postdischarge survival after adjustment for illness severity and comorbidities.ResultsWe included 10 004 patients with a mean age of 67 ± 15 years (37% female). Admission diagnoses included acute coronary syndrome in 43%, heart failure in 46%, cardiac arrest in 12%, and cardiogenic shock in 11%. Organ failure was present in 31%, including multiorgan failure in 12%. Hospital mortality was higher in patients with organ failure (22% vs 3%, adjusted OR 3.0, 95% CI 2.5‐3.7, P < .001). After adjustment, each failing organ system predicted twofold higher odds of hospital mortality (adjusted OR 1.9, 95% CI 1.1‐2.1, P < .001). Mortality risk was highest with cardiovascular, coagulation and liver failure. Among hospital survivors, organ failure was associated with higher adjusted postdischarge mortality risk (P < .001); multiorgan failure did not confer added long‐term mortality risk.ConclusionsEarly noncardiovascular organ failure, especially multiorgan failure, is associated with increased hospital mortality in CICU patients, and this risk continues after hospital discharge, emphasizing the need to promote early recognition of organ failure in CICU patients.

Background The cardiac intensive care unit ( CICU ) population is no longer composed of only patients with acute coronary syndromes, and includes those with acute heart failure and multiple comorbidities. We hypothesized that the GWTG ‐ HF (Get With The Guidelines–Heart Failure) risk score that predicts inpatient mortality in hospitalized patients with heart failure would predict mortality in CICU patients. Methods and Results We retrospectively analyzed CICU patients at a tertiary care hospital from 2007 to 2015. The GWTG ‐ HF risk score was calculated at CICU admission. As a secondary analysis, the EFFECT (Enhanced Feedback for Effective Cardiac Treatment) , OPTIMIZE‐HF (Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients With Heart Failure), and ADHERE (Acute Decompensated Heart Failure National Registry) risk scores were calculated. Kaplan–Meier survival analysis and the area under the receiver operating characteristic curve value were determined for inpatient and 1‐year mortality. The GWTG ‐ HF risk score was calculated in 9532 (95%) patients, with a median value of 40 (interquartile range, 35–47). Inpatient mortality occurred in 824 (8.6%) patients, and 2075 (21.8%) patients died by 1 year. Patients who died in hospital had a significantly higher mean GWTG ‐ HF score (47.7 versus 40.2; P <0.001). Inpatient and 1‐year mortality increased in each GWTG ‐ HF risk score quartile ( P <0.0001). Discrimination of the GWTG ‐ HF , EFFECT, OPTIMIZE‐HF, and ADHERE risk scores was assessed using area under the receiver operating characteristic curve values for hospital mortality, and were similar for all risk scores (0.72–0.74; P >0.05). The Hosmer–Lemeshow statistic suggested poor calibration for hospital mortality by the GWTG ‐ HF risk score ( P <0.001). Conclusions The GWTG ‐ HF risk score and other heart failure prediction tools demonstrate good discrimination for inpatient and 1‐year mortality in a heterogeneous cohort of CICU patients. Our study emphasizes that prognostic variables overlap in cardiac patients, regardless of the admission diagnosis.

Background There are no risk scores designed specifically for mortality risk prediction in unselected cardiac intensive care unit ( CICU ) patients. We sought to develop a novel CICU ‐specific risk score for prediction of hospital mortality using variables available at the time of CICU admission. Methods and Results A database of CICU patients admitted from January 1, 2007 to April 30, 2018 was divided into derivation and validation cohorts. The top 7 predictors of hospital mortality were identified using stepwise backward regression, then used to develop the Mayo CICU Admission Risk Score (M‐ CARS ), with integer scores ranging from 0 to 10. Discrimination was assessed using area under the receiver‐operator curve analysis. Calibration was assessed using the Hosmer–Lemeshow statistic. The derivation cohort included 10 004 patients and the validation cohort included 2634 patients (mean age 67.6 years, 37.7% females). Hospital mortality was 9.2%. Predictor variables included in the M‐ CARS were cardiac arrest, shock, respiratory failure, Braden skin score, blood urea nitrogen, anion gap and red blood cell distribution width at the time of CICU admission. The M‐ CARS showed a graded relationship with hospital mortality (odds ratio 1.84 for each 1‐point increase in M‐ CARS , 95% CI 1.78–1.89). In the validation cohort, the M‐ CARS had an area under the receiver‐operator curve of 0.86 for hospital mortality, with good calibration ( P =0.21). The 47.1% of patients with M‐ CARS <2 had hospital mortality of 0.8%, and the 5.2% of patients with M‐ CARS >6 had hospital mortality of 51.6%. Conclusions Using 7 variables available at the time of CICU admission, the M‐ CARS can predict hospital mortality in unselected CICU patients with excellent discrimination.

ABSTRACT Background: The use of norepinephrine may be associated with better outcomes in some patients with shock. We sought to determine whether norepinephrine was associated with lower mortality in unselected cardiac intensive care unit (CICU) patients compared with other vasopressors, and whether patterns of vasopressor and inotrope usage in the CICU have changed over time. Methods: We retrospectively evaluated consecutive adult patients admitted to a tertiary care hospital CICU from January 1, 2007 to December 31, 2015. Vasoactive drug doses were quantified using the peak Vasoactive-Inotropic Score (VIS). Temporal trends were assessed using the Cochran–Armitage trends test and multivariable logistic regression was used to determine predictors of hospital mortality. Results: We included 10,004 patients with a mean age of 67 ± 15 years; vasoactive drugs were used in 2,468 (24.7%) patients. Use of norepinephrine increased over time, whereas dopamine utilization decreased ( P < 0.001 for trends). After adjustment for illness severity and other variables, the peak VIS was a predictor of hospital mortality across the entire population (unit odds ratio [OR] 1.013, 95% confidence interval [CI], 1.009–1.017, P < 0.001) and among patients receiving vasoactive drugs (OR 1.018, 95% CI, 1.013–1.022, P < 0.001). Among patients receiving vasoactive drugs, norepinephrine was associated with a lower risk of hospital mortality (OR 0.66, 95% CI, 0.49–0.90, P = 0.008) after adjustment for illness severity and peak VIS. Conclusions: Vasoactive drug use in CICU patients has a dose-dependent association with short-term mortality. Use of norepinephrine in CICU patients is associated with decreased odds of death when compared with other vasoactive drugs.

Background Optimal methods of mortality risk stratification in patients in the cardiac intensive care unit ( CICU ) remain uncertain. We evaluated the ability of the Sequential Organ Failure Assessment ( SOFA ) score to predict mortality in a large cohort of unselected patients in the CICU. Methods and Results Adult patients admitted to the CICU from January 1, 2007, to December 31, 2015, at a single tertiary care hospital were retrospectively reviewed. SOFA scores were calculated daily, and Acute Physiology and Chronic Health Evaluation ( APACHE )‐ III and APACHE ‐ IV scores were calculated on CICU day 1. Discrimination of hospital mortality was assessed using area under the receiver‐operator characteristic curve values. We included 9961 patients, with a mean age of 67.5±15.2 years; all‐cause hospital mortality was 9.0%. Day 1 SOFA score predicted hospital mortality, with an area under the receiver‐operator characteristic curve value of 0.83; area under the receiver‐operator characteristic curve values were similar for the APACHE ‐ III score, and APACHE ‐ IV predicted mortality ( P >0.05). Mean and maximum SOFA scores over multiple CICU days had greater discrimination for hospital mortality ( P <0.01). Patients with an increasing SOFA score from day 1 and day 2 had higher mortality. Patients with day 1 SOFA score <2 were at low risk of mortality. Increasing tertiles of day 1 SOFA score predicted higher long‐term mortality ( P <0.001 by log‐rank test). Conclusions The day 1 SOFA score has good discrimination for short‐term mortality in unselected patients in the CICU, which is comparable to APACHE ‐ III and APACHE ‐ IV . Advantages of the SOFA score over APACHE include simplicity, improved discrimination using serial scores, and prediction of long‐term mortality.