Faculty Bibliography

AIMS/OBJECTIVE:Contemporary cardiac intensive care unit (CICU) outcomes remain highly heterogeneous. As such, a risk-stratification tool using readily available lab data at time of CICU admission may help inform clinical decision-making. METHODS AND RESULTS/RESULTS:The primary derivation cohort included 4352 consecutive CICU admissions across 25 tertiary care CICUs included in the Critical Care Cardiology Trials Network (CCCTN) Registry. Candidate lab indicators were assessed using multivariable logistic regression. An integer risk score incorporating the top independent lab indicators associated with in-hospital mortality was developed. External validation was performed in a separate CICU cohort of 9716 patients from the Mayo Clinic (Rochester, MN, USA). On multivariable analysis, lower pH [odds ratio (OR) 1.96, 95% confidence interval (CI) 1.72-2.24], higher lactate (OR 1.40, 95% CI 1.22-1.62), lower estimated glomerular filtration rate (OR 1.26, 95% CI 1.10-1.45), and lower platelets (OR 1.18, 95% CI 1.05-1.32) were the top four independent lab indicators associated with higher in-hospital mortality. Incorporated into the CCCTN Lab-Based Risk Score, these four lab indicators identified a 20-fold gradient in mortality risk with very good discrimination (C-index 0.82, 95% CI 0.80-0.84) in the derivation cohort. Validation of the risk score in a separate cohort of 3888 patients from the Registry demonstrated good performance (C-index of 0.82; 95% CI 0.80-0.84). Performance remained consistent in the external validation cohort (C-index 0.79, 95% CI 0.77-0.80). Calibration was very good in both validation cohorts (r = 0.99). CONCLUSION/CONCLUSIONS:A simple integer risk score utilizing readily available lab indicators at time of CICU admission may accurately stratify in-hospital mortality risk.

AIMS/OBJECTIVE:Increases in life expectancy, comorbidities, and survival with complex cardiovascular conditions have changed the clinical profile of the patients in cardiac intensive care units (CICUs). In this environment, palliative care (PC) services are increasingly important. However, scarce information is available about the delivery of PC in CICUs. METHODS AND RESULTS/RESULTS:The Critical Care Cardiology Trials Network (CCCTN) Registry is a network of tertiary care CICUs in North America. Between 2017 and 2020, up to 26 centres contributed an annual 2-month snapshot of all consecutive medical CICU admissions. We captured code status at admission and the decision for comfort measures only (CMO) before all deaths in the CICU. Of 13 422 patients, 10% died in the CICU and 2.6% were discharged to palliative hospice. Of patients who died in the CICU, 68% were CMO at death. In the CMO group, only 13% were do not resuscitate/do not intubate at admission. The median time from CICU admission to CMO decision was 3.4 days (25th-75th percentiles: 1.2-7.7) and ≥7 days in 27%. Time from CMO decision to death was <24 h in 88%, with a median of 3.8 h (25th-75th 1.0-10.3). Before a CMO decision, 78% received mechanical ventilation and 26% mechanical circulatory support. A PC provider team participated in the care of 41% of patients who died. CONCLUSIONS:In a contemporary CICU registry, comfort measures preceded death in two-thirds of cases, frequently without PC involvement. The high utilization of advanced intensive care unit therapies and lengthy times to a CMO decision highlight a potential opportunity for early engagement of PC teams in CICU.

As the acuity, complexity, and illness severity of patients admitted to cardiac intensive care units have increased, the need to recognize critical care cardiology (CCC) as a dedicated subspecialty in cardiovascular disease has received increasing support. Differing viewpoints exist regarding the optimal pathway for CCC training. Currently, all proposed CCC training pathways involve permutations of individual training years culminating in subspecialty certification across multiple disciplines; however, there are significant disadvantages to these training paradigms. We propose an innovative, pragmatic approach to CCC training through tailored subspecialty training in advanced heart failure and transplant cardiology (AHFTC), using elective time to enrich AHFTC training with skills and experiences necessary to become a highly skilled critical care cardiologist. The completion of this pathway would lead to completion of AHFTC training with a novel designation: distinction in critical care cardiology.

IMPORTANCE:Palliative care consultations in intensive care units (ICUs) are increasingly prompted by clinical characteristics associated with mortality or resource utilization. However, it is not known whether these triggers reflect actual palliative care needs. OBJECTIVE:To compare unmet needs by clinical palliative care trigger status (present vs absent). DESIGN, SETTING, AND PARTICIPANTS:This prospective cohort study was conducted in 6 adult medical and surgical ICUs in academic and community hospitals in North Carolina between January 2019 and September 2020. Participants were consecutive patients receiving mechanical ventilation and their family members. EXPOSURE:Presence of any of 9 common clinical palliative care triggers. MAIN OUTCOMES AND MEASURES:The primary outcome was the Needs at the End-of-Life Screening Tool (NEST) score (range, 0-130, with higher scores reflecting greater need), which was completed after 3 days of ICU care. Trigger status performance in identifying serious need (NEST score ≥30) was assessed using sensitivity, specificity, positive and negative likelihood ratios, and C statistics. RESULTS:Surveys were completed by 257 of 360 family members of patients (71.4% of the potentially eligible patient-family member dyads approached) with a median age of 54.0 years (IQR, 44-62 years); 197 family members (76.7%) were female, and 83 (32.3%) were Black. The median age of patients was 58.0 years (IQR, 46-68 years); 126 patients (49.0%) were female, and 88 (33.5%) were Black. There was no difference in median NEST score between participants with a trigger present (45%) and those with a trigger absent (55%) (21.0; IQR, 12.0-37.0 vs 22.5; IQR, 12.0-39.0; P = .52). Trigger presence was associated with poor sensitivity (45%; 95% CI, 34%-55%), specificity (55%; 95% CI, 48%-63%), positive likelihood ratio (1.0; 95% CI, 0.7-1.3), negative likelihood ratio (1.0; 95% CI, 0.8-1.2), and C statistic (0.50; 95% CI, 0.44-0.57). CONCLUSIONS AND RELEVANCE:In this cohort study, clinical palliative care trigger status was not associated with palliative care needs and no better than chance at identifying the most serious needs, which raises questions about an increasingly common clinical practice. Focusing care delivery on directly measured needs may represent a more person-centered alternative.

BACKGROUND:Heart failure-related cardiogenic shock (HF-CS) accounts for an increasing proportion of cases of CS in contemporary cardiac intensive care units. Whether the chronicity of HF identifies distinct clinical profiles of HF-CS is unknown. METHODS AND RESULTS/RESULTS:We evaluated admissions to cardiac intensive care units for HF-CS in 28 centers using data from the Critical Care Cardiology Trials Network registry (2017-2020). HF-CS was defined as CS due to ventricular failure in the absence of acute myocardial infarction and was classified as de novo vs acute-on-chronic based on the absence or presence of a prior diagnosis of HF, respectively. Clinical features, resource use, and outcomes were compared among groups. Of 1405 admissions with HF-CS, 370 had de novo HF-CS (26.3%), and 1035 had acute-on-chronic HF-CS (73.7%). Patients with de novo HF-CS had a lower prevalence of hypertension, diabetes, coronary artery disease, atrial fibrillation, and chronic kidney disease (all P < 0.01). Median Sequential Organ Failure Assessment (SOFA) scores were higher in those with de novo HF-CS (8; 25th-75th: 5-11) vs acute-on-chronic HF-CS (6; 25th-75th: 4-9, P < 0.01), as was the proportion of Society of Cardiovascular Angiography and Intervention (SCAI) shock stage E (46.1% vs 26.1%, P < 0.01). After adjustment for clinical covariates and preceding cardiac arrest, the risk of in-hospital mortality was higher in patients with de novo HF-CS than in those with acute-on-chronic HF-CS (adjusted hazard ratio 1.36, 95% confidence interval 1.05-1.75, P = 0.02). CONCLUSIONS:Despite having fewer comorbidities, patients with de novo HF-CS had more severe shock presentations and worse in-hospital outcomes. Whether HF disease chronicity is associated with time-dependent compensatory adaptations, unique pathobiological features and responses to treatment in patients presenting with HF-CS warrants further investigation.