BackgroundOptimal 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 ResultsAdult 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).ConclusionsThe 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.

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.

Aims Early detection of aortic stenosis (AS) is becoming increasingly important with a better outcome after aortic valve replacement in asymptomatic severe AS patients and a poor outcome in moderate AS. We aimed to develop artificial intelligence-enabled electrocardiogram (AI-ECG) using a convolutional neural network to identify patients with moderate to severe AS. Methods and results Between 1989 and 2019, 258 607 adults [mean age 63 ± 16.3 years; women 122 790 (48%)] with an echocardiography and an ECG performed within 180 days were identified from the Mayo Clinic database. Moderate to severe AS by echocardiography was present in 9723 (3.7%) patients. Artificial intelligence training was performed in 129 788 (50%), validation in 25 893 (10%), and testing in 102 926 (40%) randomly selected subjects. In the test group, the AI-ECG labelled 3833 (3.7%) patients as positive with the area under the curve (AUC) of 0.85. The sensitivity, specificity, and accuracy were 78%, 74%, and 74%, respectively. The sensitivity increased and the specificity decreased as age increased. Women had lower sensitivity but higher specificity compared with men at any age groups. The model performance increased when age and sex were added to the model (AUC 0.87), which further increased to 0.90 in patients without hypertension. Patients with false-positive AI-ECGs had twice the risk for developing moderate or severe AS in 15 years compared with true negative AI-ECGs (hazard ratio 2.18, 95% confidence interval 1.90–2.50). Conclusion An AI-ECG can identify patients with moderate or severe AS and may serve as a powerful screening tool for AS in the community.

The resistance to fluid mobility in the interstitial fluid spaces has been measured between perforated catheters inserted into the subcutaneous abdominal tissues of the dog and between perforated capsules implanted in the tissues 1 month previously. When the pressures in the catheters or perforated capsules were less than atmospheric pressure, the resistance to fluid movement was almost infinite, but when the pressures were increased almost to or above atmospheric pressure the resistance usually decreased more than 100,000-fold, indicating a suddenly increased size of the tissue spaces. The shape of the pressure-volume curve relating (a) interstitial fluid pressure to (b) volume of mobile interstitial fluid was calculated from pressure-conductance curves recorded in these experiments. On comparing this pressure-volume curve with a previously measured pressure-volume curve of the entire interstitial fluid compartment, two important points were observed: first, both curves exhibit a sudden increase in volume when the interstitial fluid pressure rises above atmospheric pressure. Second, the mobile interstitial fluid volume approaches zero when the interstitial fluid pressure falls below atmospheric pressure while the measured volume is still very great. It is postulated that this difference is caused by entrapment of large amounts of water in a relatively immobile state in the gelatinous matrix of the ground substance filling the interstitial spaces.

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.