Variation in risk-adjusted cardiac intensive care unit (CICU) length of stay and the association with in-hospital mortality: An analysis from the Critical Care Cardiology Trials Network (CCCTN) registry.

BACKGROUND: Previous studies have suggested that there is wide variability in cardiac intensive care unit (CICU) length of stay (LOS); however, these studies are limited by the absence of detailed risk assessment at the time of admission. Thus, we evaluated inter-hospital differences in CICU LOS, and the association between LOS and in-hospital mortality. METHODS: Using data from the Critical Care Cardiology Trials Network (CCCTN) registry, we included 22,862 admissions between 2017 and 2022 from 35 primarily tertiary and quaternary CICUs that captured consecutive admissions in annual 2-month snapshots. The primary analysis compared inter-hospital differences in CICU LOS, as well as the association between CICU LOS and all-cause in-hospital mortality using a Fine and Gray competing risk model. RESULTS: The overall median CICU LOS was 2.2 (1.1-4.8) days, and the median hospital LOS was 5.9 (2.8-12.3) days. Admissions in the longest tertile of LOS tended to be younger with higher rates of pre-existing comorbidities, and had higher Sequential Organ Failure Assessment (SOFA) scores, as well as higher rates of mechanical ventilation, intravenous vasopressor use, mechanical circulatory support, and renal replacement therapy. Unadjusted all-cause in-hospital mortality was 9.3%, 6.7%, and 13.4% in the lowest, intermediate, and highest CICU LOS tertiles. In a competing risk analysis, individual patient CICU LOS was correlated (r2 = 0.31) with a higher risk of 30-day in-hospital mortality. The relationship remained significant in admissions with heart failure, ST-elevation myocardial infarction and non-ST segment elevation myocardial infarction. CONCLUSIONS: In a large registry of academic CICUs, we observed significant variation in CICU LOS and report that LOS is independently associated with all-cause in-hospital mortality. These findings could potentially be used to improve CICU resource utilization planning and refine risk prognostication in critically ill cardiovascular patients.

COVID-19 Infection Risk Among Previously Uninfected Adults: Development of a Prognostic Model.

Background: Few models exist that incorporate measures from an array of individual characteristics to predict the risk of COVID-19 infection in the general population. The aim was to develop a prognostic model for COVID-19 using readily obtainable clinical variables. Methods: Over 74 weeks surveys were periodically administered to a cohort of 1381 participants previously uninfected with COVID-19 (June 2020 to December 2021). Candidate predictors of incident infection during follow-up included demographics, living situation, financial status, physical activity, health conditions, flu vaccination history, COVID-19 vaccine intention, work/employment status, and use of COVID-19 mitigation behaviors. The final logistic regression model was created using a penalized regression method known as the least absolute shrinkage and selection operator. Model performance was assessed by discrimination and calibration. Internal validation was performed via bootstrapping, and results were adjusted for overoptimism. Results: Of the 1381 participants, 154 (11.2%) had an incident COVID-19 infection during the follow-up period. The final model included six variables: health insurance, race, household size, and the frequency of practicing three mitigation behavior (working at home, avoiding high-risk situations, and using facemasks). The c-statistic of the final model was 0.631 (0.617 after bootstrapped optimism-correction). A calibration plot suggested that with this sample the model shows modest concordance with incident infection at the lowest risk. Conclusion: This prognostic model can help identify which community-dwelling older adults are at the highest risk for incident COVID-19 infection and may inform medical provider counseling of their patients about the risk of incident COVID-19 infection.

Growth differentiation factor 15 and cardiovascular risk: individual patient meta-analysis.

AIMS: Levels of growth differentiation factor 15 (GDF-15), a cytokine secreted in response to cellular stress and inflammation, have been associated with multiple types of cardiovascular (CV) events. However, its comparative prognostic performance across different presentations of atherosclerotic cardiovascular disease (ASCVD) remains unknown. METHODS AND RESULTS: An individual patient meta-analysis was performed using data pooled from eight trials including 53 486 patients. Baseline GDF-15 concentration was analyzed as a continuous variable and using established cutpoints (<1200 ng/L, 1200-1800 ng/L, > 1800 ng/L) to evaluate its prognostic performance for CV death/hospitalization for heart failure (HHF), major adverse cardiovascular events (MACE), and their components using Cox models adjusted for clinical variables and established CV biomarkers. Analyses were further stratified on ASCVD status: acute coronary syndrome (ACS), stabilized after recent ACS, and stable ASCVD. Overall, higher GDF-15 concentration was significantly and independently associated with an increased rate of CV death/HHF and MACE (P < 0.001 for each). However, while GDF-15 showed a robust and consistent independent association with CV death and HHF across all presentations of ASCVD, its prognostic association with future myocardial infarction (MI) and stroke only remained significant in patients stabilized after recent ACS or with stable ASCVD [hazard ratio (HR): 1.24, 95% confidence interval (CI): 1.17-1.31 and HR: 1.16, 95% CI: 1.05-1.28 for MI and stroke, respectively] and not in ACS (HR: 0.98, 95% CI: 0.90-1.06 and HR: 0.87, 95% CI: 0.39-1.92, respectively). CONCLUSION: Growth differentiation factor 15 consistently adds prognostic information for CV death and HHF across the spectrum of ASCVD. GDF-15 also adds prognostic information for MI and stroke beyond clinical risk factors and cardiac biomarkers but not in the setting of ACS.

Fasting glucose, NT-proBNP, treatment with eptifibatide, and outcomes in non-ST-segment elevation acute coronary syndromes: An analysis from EARLY ACS.

BACKGROUND: Higher N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels have been linked to a more favorable glucometabolic profile. Little is known about the interaction of NT-proBNP and fasting glucose in non-ST-segment elevation acute coronary syndrome (NSTE ACS). METHODS: Fasting glucose and NT-proBNP were measured in 2240 patients enrolled in the EARLY ACS trial. Multivariable Cox models were used to assess associations between fasting glucose and NT-proBNP and a 96-hour composite of death, myocardial infarction (MI), recurrent ischemia, or thrombotic bailout; 30-day death or MI; and 1-year mortality. RESULTS: In adjusted Cox models, neither NT-proBNP nor fasting glucose was associated with the 96-hour endpoint (p=0.95 and p=0.87). NT-proBNP was associated with 30-day death or MI (hazard ratio [HR] 1.11, 95% confidence interval [CI] 1.02-1.22, p=0.02) and 1-year mortality (HR 1.63, 95% CI 1.42-1.89, p<0.0001), but fasting glucose was associated only with 1-year death (HR 1.53, 95% CI 1.08-2.16, p=0.02). NT-proBNP×glucose interaction terms were non-significant in all models. As fasting glucose levels increased, the risk of 96-hour and 30-day endpoints increased among patients who received early eptifibatide but not delayed, provisional use (pint=0.035 and pint=0.029). Higher NT-proBNP levels were associated with greater 30-day death or MI among patients who received early eptifibatide but not delayed, provisional use (pint=0.045). CONCLUSION: NT-proBNP and fasting glucose concentrations were associated with intermediate-term ischemic outcomes and may identify differential response to treatment with eptifibatide. CLINICALTRIALS. GOV IDENTIFIER: NCT00089895.

Safety of selective serotonin reuptake inhibitor use prior to coronary artery bypass grafting.

BACKGROUND: Selective serotonin reuptake inhibitors (SSRIs) have been shown to increase bleeding risks. This study examined the association of perioperative coronary artery bypass grafting (CABG) bleeding risks and SSRI use prior to CABG. HYPOTHESIS: SSRI may be associated with increased bleeding risks after CABG resulting in elevated reoperation rates due to bleeding complications. METHODS: Patients who underwent CABG between 1999 and 2003 (n = 4794) were identified in a tertiary medical center. SSRI use (n = 246) was determined using inpatient pharmacy records. Outcomes included primary end point of reoperation due to bleeding complications and other secondary measures. Multivariate regression models were constructed to adjust for baseline differences between SSRI and control groups. RESULTS: Reoperation due to bleeding complications among SSRI users was not significantly different (odds ratio [OR]: 1.14 (0.52-2.47); P = 0.75) compared to the control group. Other secondary outcomes and 30-day mortality (2.0% in SSRI vs 2.1% in control group; P = 0.92) between the 2 groups were similar. However, the adjusted total volume of postoperative red blood cell (RBC) units transfused was higher in the SSRI group. CONCLUSION: We conclude that there is no compelling evidence to limit the use of SSRIs among patients with coronary artery disease who undergo CABG given the current evidence. Further research may be needed on individual SSRI medications.