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

Myocardial infarction and heart failure are major cardiovascular diseases that affect millions of people in the US. The morbidity and mortality are highest among patients who develop cardiogenic shock. Early recognition of cardiogenic shock is critical. Prompt implementation of treatment measures can prevent the deleterious spiral of ischemia, low blood pressure, and reduced cardiac output due to cardiogenic shock. However, early identification of cardiogenic shock has been challenging due to human providers' inability to process the enormous amount of data in the cardiac intensive care unit (icu) and lack of an effective risk stratification tool. We developed a deep learning-based risk stratification tool, called CShock, for patients admitted into the cardiac icu with acute decompensated heart failure and/or myocardial infarction to predict onset of cardiogenic shock. To develop and validate CShock, we annotated cardiac icu datasets with physician adjudicated outcomes. CShock achieved an area under the receiver operator characteristic curve (auroc) of 0.820, which substantially outperformed CardShock (auroc 0.519), a well-established risk score for cardiogenic shock prognosis. CShock was externally validated in an independent patient cohort and achieved an auroc of 0.800, demonstrating its generalizability in other cardiac icus.

Background Optimization of mechanical ventilation (MV) in patients with cardiac arrest (CA) may help improve outcomes in these patients. We sought to investigate the association between hyperoxia, PCO2, and positive end-expiratory pressure (PEEP) with mortality in patients with CA. Methods Patients admitted to our medical center CICU from 2001 through 2012 (MIMIC-III database) who received MV with available information on MV parameters and had arterial blood gases sampling were included. Hyperoxia was defined as time-weighted mean of PaO2 >120 mmHg and non-hyperoxia as PaO2 ≤120 mmHg, while Hypercarbia was defined as PCO2 >35 mmHg during CICU admission. The 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 time spent on PEEP. Results Among 136 patients, PaO2 = 139±55 mmHg, PCO2 = 39±10 mmHg, and PEEP = 6.4±2.2cmH2O. Unadjusted mortality was higher in the hyperoxic group (51.4%) compared to the non-hyperoxic group (29.0%) (long rank test p=0.0034, figure). In multivariable analysis, hyperoxia was independently associated with higher in-hospital mortality (OR 4.046, 95% CI: 1.501–10.907, p=0.0057). Additionally, there was no association between the presence of hypercarbia and in-hospital mortality (OR 0.896, 95% CI: 0.319 to 2.521, p=0.836) nor when PCO2 was analyzed as a continuous variable (OR 1.063 per 1 mmHg increase in CO2, 95% CI: 0.111–10.145, p=0.957). Similarly, there was no assocation between PEEP and in-hospital mortality (OR 1.012 per 1cmH2O increase, 95% CI: 0.807 to 1.270, p=0.917). Post-hoc analysis with PaO2 as a continuous variable was consistent with the primary analysis (OR 1.214 per 10 mmHg increase in PaO2, 95% CI: 1.059–1.391, p=0.005). Conclusions In patients with CA, hyperoxia was associated with increased mortality, while PCO2 and PEEP levels were not. Optimal MV parameters are important in the management of patients with CA. Further research is warranted to confirm this association and explore the mechanisms behind these observations. These studies can help establish the best MV strategies for patients with CA. Funding Acknowledgement Type of funding source: None

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Background: The number of older adults admitted to cardiac intensive care units (CICU) have been increasing over the past decade, but it is not known if outcomes vary between CICU and medical intensive care units (MICU). We aimed to describe survival and length of stay (LOS) in older adults admitted to CICU and MICU. Methods: All patients admitted to the CICU or MICU at Beth Israel Deaconess Medical Center from 2001-2012 were identified from MIMIC-III, a large single-center critical care database containing deidentified clinical data for 38,597 patients. Our primary outcomes were ICU mortality and ICU LOS. Regression analyses were performed adjusting for age, gender, ICU setting and Oxford Acute Severity of Illness Score (OASIS), a severity score developed and validated in critically ill patients for ICU mortality. Results: We included 21,088 MICU patients (48.3% female) and 7,726 CICU patients (42% female). Unadjusted mortality was 13.7% in MICU and 12.5% in CICU (p=0.11). When adjusted for age, gender and OASIS, there was no difference in mortality between MICU and CICU (OR 0.62, 95% CI 0.34-1.13, p=0.15). However, we found a significant interaction between older age and type of ICU with mortality (p=0.03) but not with ICU LOS (p=0.15). In patients >75 years (6,837 in MICU and 3,161 in CICU), each 5-year interval of older age was associated with higher mortality when adjusted for gender and OASIS in the CICU (OR 1.05, 95% CI 1.02-1.08 p=0.002), but not in the MICU (OR 1.01, 95% CI 0.99-1.03, p=0.15, Figure). Conclusion: Older adults admitted to the CICU had higher adjusted mortality by age group after age 75, as opposed to older MICU patients in whom mortality was high but remained unchanged after age 75.