Barsness, Gregory W.

Background Acute kidney injury (AKI) is associated with high morbidity and mortality in critically ill patients. Multicenter analyses describing the epidemiology of AKI in the cardiac intensive care unit (CICU) are scarce. Here, we describe the prevalence, predictors, and outcomes associated with AKI in a contemporary multicenter CICU population. Methods The Critical Care Cardiology Trials Network (CCCTN) is a collaboration of CICUs in North America coordinated by the TIMI Study Group (Boston, MA). We evaluated patient and hospital-level outcomes as a function of creatinine-only Kidney Disease: Improving Global Outcomes (KDIGO) AKI stage within the CCCTN registry. Logistic regression was used to assess associations with in-hospital mortality. Results Among 21 603 admissions, the overall prevalence of AKI was 23.7%, which was composed of KDIGO stage 1: 12.7%, stage 2: 1.7%, and stage 3: 9.2%. A higher prevalence and severity of AKI were seen in patients with baseline kidney disease, hypertension, or diabetes and in admissions with heart failure, cardiogenic shock, and cardiac arrest ( P < .001 for all). There was a stepwise increase in hospital mortality across AKI stages (stage 1: 23%, stage 2: 39%, stage 3: 42%; P < .0001). The increased risk of death associated with progressive AKI stage persisted after multivariate adjustment (adjusted OR: stage 1: 2.1, stage 2: 3.7, stage 3: 3.4). Conclusions AKI occurs in 1 in 4 admissions to the CICU, and a higher AKI stage is incrementally associated with in-hospital mortality, highlighting a need to develop strategies to mitigate AKI and its complications.

An ST-segment elevation myocardial infarction is a life-threatening condition within the spectrum of acute coronary syndrome, with well-recognized implications for short-term and long-term health outcomes. Retrospective review of our institutional electronic health records identified patterns of inaccurate acute coronary syndrome diagnostic assignment, including the presence of erroneous ST-segment elevation myocardial infarction diagnoses in discharge records. Such erroneous diagnoses in the durable health record may increase risk to patients through inadequate risk assessment and inappropriate follow-up care. Misapplication of a shortcut in our electronic health record system for rapidly ordering emergent cases was identified as a potential cause of the quality gap. To address this issue, a nurse-led quality improvement project was developed by using the define, measure, analyze, improve, and control framework. The project intervention decreased the percentage of patients with erroneous diagnoses from 24% to 7% and marginally improved nursing staff satisfaction. Our project successfully addressed an institutional quality concern. Our goal of reducing erroneous discharge diagnoses with minimal disruption to our existing practice was achieved, positively affecting our patients. Including both nurse leaders and frontline health care workers ensured the success of our project.

Abstract Aims The Shock Academic Research Consortium (SHARC) recently proposed pragmatic consensus definitions to standardize classification of cardiogenic shock (CS) in registries and clinical trials. We aimed to describe contemporary CS epidemiology using the SHARC definitions in a cardiac intensive care unit (CICU) population. Methods and results The Critical Care Cardiology Trials Network (CCCTN) is a multinational research network of advanced CICUs coordinated by the TIMI Study Group (Boston, MA). Cardiogenic shock was defined as a cardiac disorder resulting in SBP &lt; 90 mmHg for ≥30 min [or the need for vasopressors, inotropes, or mechanical circulatory support (MCS) to maintain SBP ≥ 90 mmHg] with evidence of hypoperfusion. Primary aetiologic categories included acute myocardial infarction-related CS (AMI-CS), heart failure-related CS (HF-CS), and non-myocardial (secondary) CS. Post-cardiotomy CS was not included. Heart failure-related CS was further subcategorized as de novo vs. acute-on-chronic HF-CS. Patients with both cardiogenic and non-cardiogenic components of shock were classified separately as mixed CS. Of 8974 patients meeting shock criteria (2017–23), 65% had isolated CS and 17% had mixed shock. Among patients with CS (n = 5869), 27% had AMI-CS (65% STEMI), 59% HF-CS (72% acute-on-chronic, 28% de novo), and 14% secondary CS. Patients with AMI-CS and de novo HF-CS were most likely to have had concomitant cardiac arrest (P &lt; 0.001). Patients with AMI-CS and mixed CS were most likely to present in more severe shock stages (SCAI D or E; P &lt; 0.001). Temporary MCS use was highest in AMI-CS (59%). In-hospital mortality was highest in mixed CS (48%), followed by AMI-CS (41%), similar in de novo HF-CS (31%) and secondary CS (31%), and lowest in acute-on-chronic HF-CS (25%; P &lt; 0.001). Conclusion SHARC consensus definitions for CS classification can be pragmatically applied in contemporary registries and reveal discrete subpopulations of CS with distinct phenotypes and outcomes that may be relevant to clinical practice and future research.

Introduction: Baseline hemodynamic parameters have been shown to predict postoperative outcomes such as right ventricular failure (RVF) in LVAD patients. The pressure adjusted heart rate (PaHR) is a hemodynamic parameter that has not been reported in LVAD recipients. Hypothesis: Patients with an elevated PaHR at baseline will have an increased risk of adverse outcomes following LVAD implantation. Methods: Historical cohort study of 273 patients with preoperative invasive hemodynamic assessment before durable LVAD implantation from January 1 st , 2007 to April 10 th 2017. Baseline patient characteristics and hemodynamic parameters were assessed. The primary endpoint was a composite of 30 day mortality, stage 3 acute kidney injury (AKI), and postoperative RVF. Univariate analysis was used to identify predictors of the composite endpoint, which were entered into stepwise backwards multivariate logistic regression to determine independent predictors of the composite outcome. Results: The mean age was 59 and 79% of the patients were male. The median INTERMACS profile was 4 and 166 (60%) of LVADs placed were as destination therapy. The primary composite endpoint was reached by 74 (27%) patient, including 30-day mortality in 13 (5%), severe AKI in 48 (18%) and RVF in 53 (19%). Univariate predictors of the composite endpoint (p <0.05) included atrial fibrillation, INTERMACS profile, home inotropes, preoperative IABP, admission creatinine, baseline Vasoactive-Inotropic Score, mean right atrial pressure (mRAP), mRAP/wedge, mean arterial pressure/mRAP, mean pulmonary artery pressure/mRAP, right ventricular stroke work index (RVSWi), pulmonary artery pulsatility index, and the PaHR. Logistic regression identified PaHR (OR 0.96, 95% CI 0.93-0.99, p=.026), RVSWi (OR 1.002, 95% CI 1.001-1.004, p=.002), home inotropes (OR 0.46, 95% CI 0.22-0.94, p=.034), atrial fibrillation (OR 0.48, 95% CI 0.26-0.88, p=.019) and admission creatinine (OR 0.51, 95% CI 0.34-0.77, p=0.002) as predictors of the composite endpoint. Conclusions: The PaHR is a readily available, novel hemodynamic parameter, that when elevated on baseline hemodynamic assessment can predict those patients at increased risk of postoperative adverse outcomes after durable LVAD implantation.

Introduction: Patients at increased risk of complications following LVAD placement are admitted to the hospital for hemodynamic optimization prior to LVAD implantation, which can include adjustment of medical therapy and/or placement of an IABP. Hypothesis: Prior to LVAD placement patients treated with an IABP during hemodynamic optimization will have similar outcomes despite worse baseline characteristics compared with patients treated medically. Methods: This single-center study included 199 non-inotrope dependent patients who underwent durable LVAD implantation between January 1 st , 2007 and April 10 th 2017. Hemodynamic data was collected retrospectively. Patients who received an IABP were compared to those who did not. Stage 2 or 3 acute kidney injury, right ventricular failure, and 30 day mortality was compared between patients with and without and IABP. Results: The mean age was 62.7 and 82.9% were male; 72 (36.2%) received an IABP. Baseline characteristics between groups were similar. Patients treated with an IABP had worse INTERMACS profiles and worse baseline hemodynamic parameters. The incidence of the primary composite endpoint was similar between patients who had an IABP and those who did not (23.6% vs 19.7%; p=0.517), as were each of the individual endpoints: stage 2 or 3 acute kidney injury (18.1% vs 14.2%; p=0.472), right ventricular failure (13.9% vs 13.4%; p=0.796), and 30 day mortality (6.9 % vs 3.2%; p=0.226). Patients treated with an IABP had greater relative reductions in mean right atrial pressure (-24.1% vs -5.9%; p=0.044), pulmonary artery systolic (-11.7% vs +3.3%; p=<0.001), diastolic (-17.0% vs +12.0%; p=0.015), and mean pressures (-15.2% vs 0.5%; p=<0.001). Conclusions: Despite worse hemodynamic parameters and INTERMACS profile at baseline, ambulatory heart failure patients who received an IABP prior to LVAD implantation did not have an increased incident of stage 2 or 3 acute kidney injury, right ventricular failure, or 30 day mortality, and had more favorable reductions in right atrial and pulmonary artery pressures. These results suggest that the use of the IABP prior to LVAD implantation in non-inotrope dependent patients with poor baseline hemodynamics may mitigate the risk of postoperative complications.

Introduction: Studies have demonstrated an association between hyperkalemia and increased mortality in patients with myocardial infarction, but limited data exist regarding hyperkalemia and associated death among unselected cardiac intensive care unit (CICU) patients. Hypothesis: Hyperkalemia is associated with mortality in CICU patients. Methods: Historical cohort of 9,681 CICU patients admitted from January 2007 to December 2015 with serum potassium measured on admission. Hyperkalemia was defined as admission potassium >=5.0 mEq/L, normokalemia as admission potassium 3.5-4.9 mEq/L, and hypokalemia as admission potassium <3.5 mEq/L. Multivariate logistic regression was used to determine predictors of hospital mortality. Post-discharge survival was assessed using Kaplan-Meier analysis and Cox proportional hazards models. Results: Mean age was 67±15 years with 3,629 (36%) females and hospital mortality of 9%. Hyperkalemia occurred in 1,187 (12.3%), and hypokalemia occurred in 719 (7.4%). Compared to normokalemic patients, both hyperkalemic patients (unadjusted OR 2.85, 95% CI 2.40-3.39; P<.001) and hypokalemic patients (unadjusted OR 2.31, 95% CI 1.85-2.88; P<.001) were at increased risk of hospital mortality. After adjustment for illness severity and renal function, only hyperkalemic patients were at increased risk of hospital death (adjusted OR 1.35, 95% CI 1.07-1.69; p = 0.01), while hypokalemic patients were not (P = NS). Among hospital survivors, hyperkalemic patients had lower post-discharge survival by Kaplan-Meier analysis (P <0.001), while hypokalemic patients had similar survival compared to normokalemic patients (p = NS). After adjustment for illness severity and renal function, hospital survivors with hyperkalemia were at increased risk for post-discharge mortality compared with normokalemic patients (adjusted HR 1.16, 95% CI 1.05-1.28; p=.003). Conclusions: Hyperkalemia on CICU admission is associated with higher hospital and post-discharge mortality, independent of renal function and illness severity. This emphasizes the importance of potassium abnormalities as a risk predictor in patients admitted to the CICU.

Background: The aim of this study was to determine whether adding DE-CMR and/or TTE based parameters beyond known clinical factors provides incremental improvement of predicting long-term outcomes in STEMI patients who undergo acute reperfusion therapy. Methods and Results: One hundred twenty patients with first time STEMI who underwent PCI (74%), fibrinolysis (3%), and both (19%), were studied by both delayed enhancement cardiac magnetic resonance (DE-CMR) and transthoracic echocardiogram (TTE) during the acute phase of myocardial infarction. The primary endpoint was major adverse cardiac events (MACE). There were 28 events (6 deaths, 13 recurrent ischemia, and 9 heart failure) over a median follow-up of 4 years. We defined incremental increase in prognostic value by increase in Cox proportional hazards global chi square (χ 2 ) and/or increase in c-index with the addition of TTE and/or CMR parameters after adjusting for clinical variables. Among the clinical data, heart rate (HR: 1.02, p=0.047) and troponin (HR: 1.13, p=0.013) predicted MACE (χ 2 : 12.4, P=0.002; C index 0.69). After adjusting for these clinical factors, adding TTE parameters (left ventricular end systolic volume index [HR: 1.05, p<0.0001] and mitral valve deceleration time [HR: 0.99, p=0.036]), increased the global χ 2 to 24.6 and C index to 0.74 (p<0.0001). When CMR parameter (infarct size [HR: 2.92, p<0.0001]) was added to the clinical data alone, there was greater increase in global χ 2 to 36.8 and C index to 0.83 (p<0.0001). Addition of DE- CMR to clinical data combined with TTE measures showed significant incremental value with increased χ 2 difference of 17.6 (p<0.0001). There was no significant incremental value of adding TTE to clinical data combined with DE-CMR (p>0.05). Conclusion: DE-CMR provides significant incremental value for prognosticating adverse cardiac events over clinical data alone (or when in combination with TTE) in STEMI patients who undergo reperfusion therapy.

BACKGROUND: Associations of early changes in vasoactive support with cardiogenic shock (CS) mortality remain incompletely defined. METHODS: The Critical Care Cardiology Trials Network is a multicenter registry of cardiac intensive care units. Patients admitted with CS (2018–2023) had vasoactive dosing assessed at 4 and 24 hours from cardiac intensive care unit admission and quantified by the vasoactive-inotropic score (VIS). Prognostic associations of VIS at both time points, as well as change in VIS from 4 to 24 hours, were examined. Interaction testing was performed based on mechanical circulatory support status. RESULTS: Among 3665 patients, 82% had a change in VIS <10, with 7% and 11% having a ≥10-point increase and decrease from 4 to 24 hours, respectively. The 4 and 24-hour VIS were each associated with cardiac intensive care unit mortality (13%–45% and 11%–73% for VIS <10 to ≥40, respectively; P trend <0.0001 for each). Stratifying by the 4-hour VIS, changes in VIS from 4 to 24 hours had a graded association with mortality, ranging from a 2- to >4-fold difference in mortality comparing those with a ≥10-point increase to ≥10-point decrease in VIS ( P trend <0.0001). The change in VIS alone provided good discrimination of cardiac intensive care unit mortality (C-statistic, 0.72 [95% CI, 0.70–0.75]) and improved discrimination of the 24-hour Sequential Organ Failure Assessment score (0.72 [95% CI, 0.69–0.74] to 0.76 [95% CI, 0.74–0.78]) and the clinician-assessed Society for Cardiovascular Angiography and Interventions shock stage (0.72 [95% CI, 0.70–0.74] to 0.77 [95% CI, 0.75–0.79]). Although present in both groups, the mortality risk associated with VIS was attenuated in patients managed with versus without mechanical circulatory support (odds ratio per 10-point higher 24-hour VIS, 1.36 [95% CI, 1.23–1.49] versus 1.84 [95% CI, 1.69–2.01]; P interaction <0.0001). CONCLUSIONS: Early changes in the magnitude of vasoactive support in CS are associated with a gradient of risk for mortality. These data suggest that early VIS trajectory may improve CS prognostication, with the potential to be leveraged for clinical decision-making and research applications in CS.