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.

Modes of Death in Patients with Cardiogenic Shock in the Cardiac Intensive Care Unit: A Report from the Critical Care Cardiology Trials Network.

BACKGROUND: There are limited data on how patients with cardiogenic shock (CS) die. METHODS: The Critical Care Cardiology Trials Network is a research network of cardiac intensive care units coordinated by the Thrombolysis In Myocardial Infarction (TIMI) Study Group (Boston, MA). Using standardized definitions, site investigators classified direct modes of in-hospital death for CS admissions (October 2021 to September 2022). Mutually exclusive categories included 4 modes of cardiovascular death and 4 modes of noncardiovascular death. Subgroups defined by CS type, preceding cardiac arrest (CA), use of temporary mechanical circulatory support (tMCS), and transition to comfort measures were evaluated. RESULTS: Among 1068 CS cases, 337 (31.6%) died during the index hospitalization. Overall, the mode of death was cardiovascular in 82.2%. Persistent CS was the dominant specific mode of death (66.5%), followed by arrhythmia (12.8%), anoxic brain injury (6.2%), and respiratory failure (4.5%). Patients with preceding CA were more likely to die from anoxic brain injury (17.1% vs 0.9%; P < .001) or arrhythmia (21.6% vs 8.4%; P < .001). Patients managed with tMCS were more likely to die from persistent shock (P < .01), both cardiogenic (73.5% vs 62.0%) and noncardiogenic (6.1% vs 2.9%). CONCLUSIONS: Most deaths in CS are related to direct cardiovascular causes, particularly persistent CS. However, there is important heterogeneity across subgroups defined by preceding CA and the use of tMCS.

Electronic health record risk score provides earlier prognostication of clinical outcomes in patients admitted to the cardiac intensive care unit.

In this observational study, we compared the prognostic ability of an electronic health record (EHR)-derived risk score, the Rothman Index (RI), automatically derived on admission, to the first 24-hour Sequential Organ Failure Assessment (SOFA) score for outcome prediction in the modern cardiac intensive care unit (CICU). We found that while the 24-hour SOFA score provided modestly superior discrimination for both in-hospital and CICU mortality, the RI upon CICU admission had better calibration for both outcomes. Given the ubiquitous nature of EHR utilization in the United States, the RI may become an important tool to rapidly risk stratify CICU patients within the ICU and improve resource allocation.

Association between intensive care unit utilization for patients with non-ST-segment elevation myocardial infarction and patient experience.

Routine intensive care unit (ICU) utilization for patients with initially stable non-ST segment elevation myocardial infarction is not associated with improved short- or long-term patient outcomes; however, the association with patient experience has not been reported. Using Hospital Consumer Assessment of Healthcare Providers and Systems patient survey data linked to ICU use data from the National Cardiovascular Data Registry, we found no association between hospital-level ICU utilization and metrics of patient experience, including communication, staff responsiveness, and overall satisfaction.

Getting cardiogenic shock patients to the right place-How initial intensive care unit triage decisions impact processes of care and outcomes.

The objective of this study was to determine how initial intensive care unit triage decisions impact processes of care and outcomes for emergency department patients hospitalized with cardiogenic shock. Individuals with cardiogenic shock were stratified based upon whether they were initially admitted to a cardiac versus noncardiovascular intensive care setting. Those initially triaged to a noncardiovascular intensive care unit were less likely to receive potentially life-saving interventions, including percutaneous coronary intervention and temporary mechanical circulatory support, and were more likely to see significant delays in these interventions if ultimately used. Additionally, admitting cardiogenic shock patients to noncardiovascular intensive care units may result in worse survival. These findings underscore the importance of appropriate identification and triage of emergency department patients with cardiogenic shock-a potentially critical contribution of contemporary cardiogenic shock teams.

Admission diagnosis and mortality risk prediction in a contemporary cardiac intensive care unit population.

BACKGROUND: Critical care risk scores can stratify mortality risk among cardiac intensive care unit (CICU) patients, yet risk score performance across common CICU admission diagnoses remains uncertain. METHODS: We evaluated performance of the Acute Physiology and Chronic Health Evaluation (APACHE)-III, APACHE-IV, Sequential Organ Failure Assessment (SOFA) and Oxford Acute Severity of Illness Score (OASIS) scores at the time of CICU admission in common CICU admission diagnoses. Using a database of 9,898 unique CICU patients admitted between 2007 and 2015, we compared the discrimination (c-statistic) and calibration (Hosmer-Lemeshow statistic) of each risk score in patients with selected admission diagnoses. RESULTS: Overall hospital mortality was 9.2%. The 3182 (32%) patients with a critical care diagnosis such as cardiac arrest, shock, respiratory failure, or sepsis accounted for >85% of all hospital deaths. Mortality discrimination by each risk score was comparable in each admission diagnosis (c-statistic 95% CI values were generally overlapping for all scores), although calibration was variable and best with APACHE-III. The c-statistic values for each score were 0.85-0.86 among patients with acute coronary syndromes, and 0.76-0.79 among patients with heart failure. Discrimination for each risk score was lower in patients with critical care diagnoses (c-statistic range 0.68-0.78) compared to non-critical cardiac diagnoses (c-statistic range 0.76-0.86). CONCLUSIONS: The tested risk scores demonstrated inconsistent performance for mortality risk stratification across admission diagnoses in this CICU population, emphasizing the need to develop improved tools for mortality risk prediction among critically-ill CICU patients.

Incidence, underlying conditions, and outcomes of patients receiving acute renal replacement therapies in tertiary cardiac intensive care units: An analysis from the Critical Care Cardiology Trials Network Registry.

BACKGROUND: The prevalence of renal disease in cardiac intensive care units (CICUs) is increasing, but little is known about the utilization, concurrent therapies, and outcomes of patients requiring acute renal replacement therapy (RRT) in this specialized environment. METHODS: In the Critical Care Cardiology Trials Network, 16 centers submitted data on CICU admissions including acute RRT (defined as continuous renal replacement therapy and/or acute intermittent dialysis). RESULTS: Among 2,985 admissions, 178 (6.0%; interhospital range 1.0%-16.0%) received acute RRT. Patients receiving RRT, versus not, were more commonly admitted for cardiogenic shock (15.7% vs 4.2%, P < .01), cardiac arrest (9.6% vs 3.7%, P < .01), and acute general medical diagnoses (10.7% vs 5.8%, P < .01), whereas acute coronary syndromes (16.9% vs 32.1%, P < .01) were less frequent. Variables independently associated with acute RRT included diabetes, heart failure, liver disease, severe valvular disease, shock, cardiac arrest, hypertension, and younger age. In patients receiving acute RRT, versus not, advanced therapies including mechanical ventilation (55.6% vs 18.0%), vasoactive support (73.0% vs 35.2%), invasive hemodynamic monitoring (59.6% vs 29.2%), and mechanical circulatory support (27.5% vs 8.4%) were more common. Acute RRT was associated with higher in-hospital mortality (42.1% vs 9.3%, adjusted odds ratio 3.74, 95% CI, 2.52-5.53) and longer median length of stay (10.0 vs 5.3 days, P < .01). In conclusion, acute RRT in contemporary CICUs was associated with the provision of other advanced therapies and lower survival. CONCLUSIONS: These data underscore the risks associated with the provision of renal support in patients with primary cardiovascular problems and the need to develop standardized indications and potential futility measures in this specialized population.

Admission Society for Cardiovascular Angiography and Intervention shock stage stratifies post-discharge mortality risk in cardiac intensive care unit patients.

BACKGROUND: The five-stage Society for Cardiovascular Angiography and Intervention (SCAI) cardiogenic shock classification scheme can stratify hospital mortality risk in patients admitted to the cardiac intensive care unit (CICU). We sought to evaluate the SCAI shock classification for prediction of post-discharge mortality in CICU survivors. METHODS: We retrospectively analyzed hospital survivors admitted to a single CICU between 2007 and 2015. SCAI CS stages A through E were classified using CICU admission data using a previously published algorithm. All-cause post-discharge mortality was compared across SCAI stages using Kaplan-Meier analysis and Cox proportional hazards models. RESULTS: Among 9096 unique hospital survivors, 43.2% had acute coronary syndrome (ACS), 44.6% had heart failure (HF), and 8.7% had cardiac arrest (CA) on admission. The proportion of patients in each SCAI shock stage was: A, 49.1%; B, 30.6%; C, 15.2; D/E 5.2%. Kaplan-Meier survival at 5 years in each SCAI shock stage was: A, 88.2%; B, 81.6%; C, 76.7%; D/E, 71.7% (P < .001 by log-rank). Each higher SCAI shock stage was associated with increased adjusted post-discharge mortality compared to SCAI shock stage A (all P < .001); results were consistent among patients with ACS or HF. Late hemodynamic deterioration after 24 hours, but not an admission diagnosis of CA, was associated with higher post-discharge mortality. CONCLUSIONS: The SCAI shock classification assessed at the time of CICU admission was predictive of post-discharge mortality risk among hospital survivors, although an admission diagnosis of CA was not. The SCAI shock classification can be used for post-discharge mortality risk stratification.

Mechanical assist devices for acute cardiogenic shock.

BACKGROUND: Cardiogenic shock (CS) is a state of critical end-organ hypoperfusion due to a primary cardiac disorder. For people with refractory CS despite maximal vasopressors, inotropic support and intra-aortic balloon pump, mortality approaches 100%. Mechanical assist devices provide mechanical circulatory support (MCS) which has the ability to maintain vital organ perfusion, to unload the failing ventricle thus reduce intracardiac filling pressures which reduces pulmonary congestion, myocardial wall stress and myocardial oxygen consumption. This has been hypothesised to allow time for myocardial recovery (bridge to recovery) or allow time to come to a decision as to whether the person is a candidate for a longer-term ventricular assist device (VAD) either as a bridge to heart transplantation or as a destination therapy with a long-term VAD. OBJECTIVES: To assess whether mechanical assist devices improve survival in people with acute cardiogenic shock. SEARCH METHODS: We searched CENTRAL, MEDLINE (Ovid), Embase (Ovid) and Web of Science Core Collection in November 2019. In addition, we searched three trials registers in August 2019. We scanned reference lists and contacted experts in the field to obtain further information. There were no language restrictions. SELECTION CRITERIA: Randomised controlled trials on people with acute CS comparing mechanical assist devices with best current intensive care management, including intra-aortic balloon pump and inotropic support. DATA COLLECTION AND ANALYSIS: We performed data collection and analysis according to the published protocol. Primary outcomes were survival to discharge, 30 days, 1 year and secondary outcomes included, quality of life, major adverse cardiovascular events (30 days/end of follow-up), dialysis-dependent (30 days/end of follow-up), length of hospital stay and length of intensive care unit stay and major adverse events. We used the five GRADE considerations (study limitations, consistency of effect, imprecision, indirectness, and publication bias) to assess the quality of a body of evidence as it relates to the studies which contribute data to the meta-analyses for the prespecified outcomes Summary statistics for the primary endpoints were risk ratios (RR), hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs). MAIN RESULTS: The search identified five studies from 4534 original citations reviewed. Two studies included acute CS of all causes randomised to treatment using TandemHeart percutaneous VAD and three studies included people with CS secondary to acute myocardial infarction who were randomised to Impella CP or best medical management. Meta-analysis was performed only to assess the 30-day survival as there were insufficient data to perform any further meta-analyses. The results from the five studies with 162 participants showed mechanical assist devices may have little or no effect on 30-day survival (RR of 1.01 95% CI 0.76 to 1.35) but the evidence is very uncertain. Complications such as sepsis, thromboembolic phenomena, bleeding and major adverse cardiovascular events were not infrequent in both the MAD and control group across the studies, but these could not be pooled due to inconsistencies in adverse event definitions and reporting. We identified four randomised control trials assessing mechanical assist devices in acute CS that are currently ongoing. AUTHORS' CONCLUSIONS: There is no evidence from this review of a benefit from MCS in improving survival for people with acute CS. Further use of the technology, risk stratification and optimising the use protocols have been highlighted as potential reasons for lack of benefit and are being addressed in the current ongoing clinical trials.

The Effect of an Empowerment Program on the Perceived Risk and Physical Health of Patients With Coronary Artery Disease.

This study was conducted to assess the effect of an empowerment program on the perceived risk and physical health of patients with coronary artery disease. This randomized clinical trial recruited 84 patients with coronary artery disease admitted to post-cardiac care unit (CCU) wards in Tehran Heart Center in 2017. The study subjects were selected and assessed according to inclusion criteria and assigned to intervention and control groups by block randomization. Both groups completed questionnaires for demographic details and disease history, perceived risk in cardiac patients, and physical health. The Magic Empowerment Program was performed for the intervention group as 3 workshops on 3 successive days. Intervention continued after patients' discharge from the hospital through phone calls once a week for 8 weeks. The perceived risk in cardiac patients and physical health questionnaires were completed for both groups. Postintervention results showed significant differences between the 2 groups in total score of perceived risk (P = .001) and its subscales. The Empowerment Program changed patients' attitudes toward risk-motivating behavior change and improving physical health.

Real-world comparison of in-hospital Reveal LINQ insertable cardiac monitor insertion inside and outside of the cardiac catheterization or electrophysiology laboratory.

BACKGROUND: Traditionally, insertable cardiac monitor (ICM) procedures have been performed in the cardiac catheterization (CATH) or electrophysiology (EP) laboratory. The introduction of the miniaturized Reveal LINQ ICM has led to simplified and less invasive procedures, affording hospitals flexibility in planning where these procedures occur without compromising patient safety or outcomes. METHODS: The present analysis of the ongoing, prospective, observational, multicenter Reveal LINQ Registry sought to provide real-world feasibility and safety data regarding the ICM procedure performed in the CATH/EP lab or operating room and to compare it with insertions performed outside of these traditional hospital settings. Patients included had at least a 30-day period after the procedure to account for any adverse events. RESULTS: We analyzed 1222 patients (58.1% male, age 61.0 ± 17.1 years) enrolled at 18 centers in the US, 17 centers in Middle East/Asia, and 15 centers in Europe. Patients were categorized into 2 cohorts according to the location of the procedure: in-lab (CATH lab, EP lab, or operating room) (n = 820, 67.1%) and out-of-lab (n = 402, 32.9%). Several differences were observed regarding baseline and procedure characteristics. However, no significant differences in the occurrence of procedure-related adverse events (AEs) were found; of 19 ICM/procedure-related AEs reported in 17 patients (1.4%), 11 occurred in the in-lab group (1.3%) and 6 in the out-of-lab group (1.5%) (P = .80). CONCLUSIONS: This real-world analysis demonstrates the feasibility of performing Reveal LINQ ICM insertion procedures outside of the traditional hospital settings without increasing the risk of infection or other adverse events.

Changes in comorbidities, diagnoses, therapies and outcomes in a contemporary cardiac intensive care unit population.

Prior studies have demonstrated that the cardiac intensive care unit (CICU) patient population has evolved over time. We sought to describe the temporal changes in comorbidities, illness severity, diagnoses, procedures and adjusted mortality within our CICU practice in recent years. METHODS: We retrospectively reviewed unique CICU admissions at the Mayo Clinic from January 2007 to April 2018. Comorbidities, severity of illness scores, discharge diagnosis codes and CICU procedures and therapies were recorded, and temporal trends were assessed using linear regression and Cochran-Armitage trend tests. Trends in adjusted hospital mortality over time were assessed using multivariable logistic regression. RESULTS: We included 12,418 patients with a mean age of 67.6 years (including 37.7% females). Temporal trends in the prevalence of several comorbidities and discharge diagnoses were observed, reflecting an increase in the prevalence of non-coronary cardiovascular diseases, critical care diagnoses, and organ failure (all P ≪ .05). The use of several CICU therapies and procedures increased over time, including mechanical ventilation, invasive lines and vasoactive drugs (all P ≪ .05). A temporal decrease in adjusted hospital mortality was observed among the subgroup of patients with (adjusted OR per year 0.97, 95% CI 0.94-0.99, P = .023) and without (adjusted OR per year 0.91, 95% CI 0.85-0.96, P = .002) a critical care discharge diagnosis. CONCLUSIONS: We observed an increasing prevalence of critical care and organ failure diagnoses as well as increased utilization of critical care therapies in this CICU cohort, associated with a decrease in risk-adjusted hospital mortality over time.

Prognostic Implications of Influenza Virus Infection in a Cardiac Intensive Care Unit: Potential Impact of a Screening Program.

OBJECTIVES: Our goal was to determine the presentation and prognosis of influenza in an intensive cardiac care unit and to analyze the impact of an active surveillance program in the diagnosis. METHODS: We performed a prospective registry during the flu season in a coronary unit. In the first phase, no systematic screening was performed. Systematic influenza A and B detection was performed in a second phase for all patients admitted. RESULTS: From 227 patients, we identified 17 (7.5%) with influenza. Influenza patients were more likely to have a non-ischemic cause of admission (14 patients [82.4%] vs. 48 patients [40.3%], p = 0.002), fever (8 patients [47.1%] vs. 3 patients [2.6%], p < 0.001), and respiratory failure (7 patients [41.2%] vs. 8 patients [7%], p = 0.001). Influenza infection was an independent predictor of mortality (odds ratio 12.0, 95% confidence interval 1.9-13.6, p < 0.001). The incidence of influenza was 6.6% (6 patients) when no active screening was performed and 7.9% (11 patients) when systematic detection was performed (p = 0.005). The time to diagnosis was shorter in the systematic screening phase (0.92 ± 1.6 vs. 5.2 ± 3.8 days, p = 0.01). CONCLUSIONS: Influenza affects approximately 8% of patients admitted to an intensive cardiac care unit during the flu season, with a high mortality rate. An active surveillance program improves early detection.

Seasonality in Mortality in a Cardiology Department: A Five-Year Analysis in 500 Patients.

BACKGROUND: Previous studies have indicated that cardiovascular mortality follows a seasonal trend. The aim of this work was to determine the evolution of mortality throughout the year in a cardiology department. METHODS: All admissions and deaths occurring in our Cardiology Department over a 5-year period (2013-2017) were recorded retrospectively. RESULTS: From a total of 17,829 hospital admissions, 500 patients died (2.8%, 0.3 patients/day). The mean age of deceased patients was 74.2 ± 13.1 years, and 186 (37.2%) were women. Mortality ranged from 0.17 deaths/day in August to 0.40 deaths/day in February (p = 0.03), and from 0.20 deaths/day in summer to 0.36 deaths/day in winter (p = 0.001). There was also a trend towards a variation in hospitalizations, with a peak in January (10.5 admissions/day) and the lowest figure in August (7.0 admissions/day), p = 0.047. We found no significant seasonal trend regarding mortality rate with respect to the number of hospital admissions (p = 0.89). The most common cause of death was refractory heart failure (267 patients [65.8%]). A noncardiac cause of death was observed in 134 patients (26.8%). CONCLUSIONS: In a cardiology department, there are twice as many deaths in winter as in summer. Hospitalizations also tend to be more frequent in winter than in summer.

Utility of the HAS-BLED score for risk stratification of patients with acute coronary syndrome.

HAS-BLED score was developed for bleeding prediction in patients with atrial fibrillation (AF). Recently, it was also used in patients undergoing percutaneous coronary interventions (PCI). This study analyzes the HAS-BLED predictivity for bleedings and mortality in patients with acute coronary syndromes (ACS) without AF, and evaluates the utilization of alternative criteria for renal dysfunction. The study population was composed of 704 patients with ACS. Six-hundred and eleven patients completed the follow-up. The HAS-BLED score was calculated both using the original definition of renal dysfunction, both using three alternative eGFR thresholds (< 30, < 60 and ≤ 90 ml/min/1.73 mq). In-hospital and post-discharge bleedings and mortality were recorded, and calibration and discrimination of the various risk models were evaluated using the Hosmer-Lemeshow test and the C-statistic. In-hospital bleedings were 4.7% and mortality was 2.7%. Post-discharge bleedings were 3.1% and mortality was 4.4%. Regarding bleeding events and in-hospital mortality, the HAS-BLED original risk model demonstrated a moderate-to-good discriminative performance (C-statistics from 0.65 to 0.76). No significant differences were found in predictive accuracy when applying alternative definitions of renal dysfunction based on eGFR, with the exception of post-discharge mortality, for which HAS-BLED model assuming an eGFR value < 60 ml/min/1.73 mq showed a discriminative performance significantly higher in comparison to the other risk models (C-statistic 0.71 versus 0.64-0.66). In conclusion, in our ACS population, the HAS-BLED risk score showed a fairly good predictive accuracy regarding in-hospital and follow-up bleeding events and in-hospital mortality. The use of renal dysfunction alternative criteria based on eGFR values resulted in out-of hospital mortality predictive accuracy enhancement.

Early Peritoneal Dialysis and Major Adverse Events After Pediatric Cardiac Surgery: A Propensity Score Analysis.

OBJECTIVES: Early peritoneal dialysis may have a role in modulating the inflammatory response after cardiopulmonary bypass. This study sought to test the effect of early peritoneal dialysis on major adverse events after pediatric cardiac surgery involving cardiopulmonary bypass. DESIGN: In this observational study, the outcomes in infants post cardiac surgery who received early peritoneal dialysis (within 6 hr of completing cardiopulmonary bypass) were compared with those who received late peritoneal dialysis. The primary outcome was a composite of one or more of cardiac arrest, emergency chest reopening, requirement for extracorporeal membrane oxygenation, or death. Secondary outcomes included duration of mechanical ventilation, length of intensive care, and hospital stay. A propensity score methodology utilizing inverse probability of treatment weighting was used to minimize selection bias due to timing of peritoneal dialysis. SETTING: Cardiac ICU, The Royal Children's Hospital, Melbourne, VIC, Australia. PATIENTS: From 2012 to 2015, infants who were commenced on peritoneal dialysis after cardiac surgery were included. MEASUREMENTS AND MAIN RESULTS: Among 239 eligible infants, 56 (23%) were commenced on early peritoneal dialysis and 183 (77%) on late peritoneal dialysis. At 90 days, early peritoneal dialysis as compared with late peritoneal dialysis was associated with a decreased risk of primary outcome (relative risk, 0.16; 95% CI, 0.05-0.47; p < 0.001 and absolute risk difference, -18.1%; 95% CI, -25.1 to -11.1; p < 0.001). Early peritoneal dialysis was also associated with a decrease in duration of mechanical ventilation and intensive care stay. Among infants with a cardiopulmonary bypass greater than 150 minutes, early peritoneal dialysis was also associated with a survival advantage (relative risk, 0.14; 95% CI, 0.03-0.84; p = 0.03 and absolute risk difference, -7.8; 95% CI, -13.6 to -2; p = 0.008). CONCLUSIONS: Early peritoneal dialysis in infants post cardiac surgery is associated with a decrease in the rate of major adverse events. The role of early peritoneal dialysis warrants the conduct of randomized trials both in high and low-to-middle income countries; any beneficial effects if confirmed have the potential to strongly influence outcomes for children born with congenital heart disease.

Sustainability of clinical pathway guided care in cardiac surgery ICU patients; 9-years experience in over 7500 patients.

OBJECTIVE: To determine trends over time regarding inclusion of post-operative cardiac surgery intensive care unit (ICU) patients in a clinical pathway (CP), and the association with clinical outcome. DESIGN: Retrospective cohort study. SETTING: ICU of an academic hospital. PARTICIPANTS: All cardiac surgery patients operated between 2007 and 2015. MEASURES AND RESULTS: A total of 7553 patients were operated. Three patient groups were identified: patients treated according to CP (n = 6567), patients excluded from the CP within the first 48 h (n = 633) and patients never included in CP (n = 353). Patients treated according to CP increased significantly over time from 74% to 95% and the median Log EuroSCORE (predicted mortality score) in this group increased significantly over time (P = 0.016). In-hospital length of stay (LOS) decreased in all groups, but significantly in CP group (P < 0.001). Overall, the in-hospital, and 1-year mortality decreased from 1.5 to 1.1% and 3.7 to 2.9%, respectively (both P < 0.05). Patients with a Log EuroSCORE >10 were more likely excluded from CP (P < 0.001), but, if included in CP, these patients had a significantly shorter Intensive Care stay and in-hospital stay compared to excluded patients with a Log EuroSCORE >10 (both P < 0.001). CONCLUSIONS: The use of a CP for all post-operative cardiac surgery patients in the ICU is sustainable. While more complex patients were treated according to the CP, clinical outcome improved in the CP group.

An An Open-Label, Single Center, Retrospective Study to Evaluate Clinical Outcomes with Surgical Sealant in Bentall Procedures: A Cohort Study.

BACKGROUND: Cardiovascular surgery is associated with substantial risk for postoperative bleeding with increased patient morbidity and mortality. Numerous intraoperative techniques have been utilized to reduce this risk. This study was to assess postoperative bleeding-related parameters following Bentall procedures and to examine the impact of intraoperative surgical sealant application. METHOD: The medical/surgical records of 100 consecutive Bentall procedure cases were examined retrospectively for perioperative surgical sealant use and postoperative bleeding-related outcomes. RESULTS: Of the 100 patient cases, three died during the postoperative period, and 97 were evaluable. Surgical sealant was utilized in 56 patient cases (57.8%). The utilization versus no utilization of surgical sealant was associated with significant reductions in most postoperative bleeding-related parameters, including less drainage (P = .028), resternotomy for hemorrhage (P = .036), transfusion of red blood cells (P = .022 at 48 hours; P = .027 total in-hospital), transfusion of fresh frozen plasma (P = .04 at 48 hours; P = .004 total in-hospital), and a higher percentage of cases not needing blood transfusion (P = .002). The surgical sealant group had longer cardiopulmonary bypass circuit (P = .016) and aortic cross-clamp time (P = .001), with no significant between-group differences in intubation time (P = .636) or intensive care unit duration (P = .294). When excluding urgent cases or Stanford type A aortic dissections, intensive care unit duration significantly was shorter in the surgical sealant group (P = .017). Surgical sealant use was not associated with any adverse events. CONCLUSION: The application of surgical sealant to the anastomosis suture line in Bentall procedures reduces postoperative drainage, bleeding, and transfusion utilization. Further studies are warranted to investigate these benefits in prospective, randomized clinical trials.

Comparison of CRUSADE and ACUITY-HORIZONS Bleeding Risk Scores in Patients With Acute Coronary Syndromes.

BACKGROUND: Compare the discriminative performance of two validated bleeding risk models for in-hospital bleeding events in a non-selected cohort of acute coronary syndrome (ACS) patients. METHODS: CRUSADE (Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the ACC/AHA Guidelines) and ACUITY-HORIZONS (Acute Catheterization and Urgent Intervention Triage strategY-Harmonizing Outcomes with Revascularization and Stents in Acute Myocardial Infarction) scores were calculated in 501 consecutive patients (median age 68 years (IQR 57-77), 31% female) admitted for ACS to the coronary care unit (CCU) of San Paolo Hospital in Milan (Italy). In-hospital haemorrhagic events and mortality were recorded and calibration and discrimination of the two risk models were evaluated using the Hosmer-Lemeshow test and the C-statistic, respectively. RESULTS: Overall bleeding events were observed in 32 patients and major bleedings in 11 (with an incidence of 6.4% and 2.2%, respectively). In-hospital mortality was 2.6%. Regarding major bleedings both risk scores demonstrated an adequate calibration (H-L test p>0.20) and a moderate discrimination with no significant difference in predictive accuracy between the two models (C-statistic 0.69 for CRUSADE and 0.73 for ACUITY-HORIZONS). We also tested the performance of the two risk models in predicting in-hospital mortality, showing an adequate calibration and a very good discrimination (C-statistic 0.88 and 0.89 for the CRUSADE and ACUITY-HORIZONS scores, respectively), with no significant difference in predictive accuracy. CONCLUSIONS: In our ACS population the CRUSADE and the ACUITY-HORIZONS risk scores showed a fairly good and comparable predictive accuracy regarding in-hospital bleeding events and they appeared to be very good predictors of in-hospital mortality.

The high cost of critical care unit over-utilization for patients with NSTE ACS.

BACKGROUND: There is substantial variability among hospitals in critical care unit (CCU) utilization for patients admitted with non-ST-Segment Elevation Acute Coronary Syndromes (NSTE ACS). We estimated the potential cost saving if all hospitals adopted low CCU utilization practices for patients with NSTE ACS. METHODS: National hospital claims data were used to identify all patients with a primary diagnosis of NSTE ACS initially admitted to an acute care hospital between 2007 and 2013. Hospital CCU utilization was classified as low (<30%), medium (30-70%), or high (>70%). RESULTS: Among the 270,564 NSTE ACS hospitalizations (71.6% non-ST-segment elevation myocardial infarction; 28.4% unstable angina) admitted to 261 hospitals, 41.9% (inter-hospital range 0.3%-95.1%) were admitted to a CCU. The proportion of patients admitted to a CCU in low, medium and high utilization hospitals was 16.3%, 49.5%, and high 81.1%, respectively. No differences in adjusted inpatient mortality were observed by hospital CCU utilization. The overall inpatient costs of caring for NSTE ACS were $1.1 billion. CCU care accounted for 45.2% of all hospitalization costs including 22.6%, 49.9%, and 69.0% (P < .001) of costs in low, medium and high utilization centers. The national potential direct cost savings of medium and high CCU utilization centers adopting low NSTE ACS CCU utilization practices was $113.4 million over the study period. CONCLUSIONS: In a population-based contemporary cohort, CCU utilization for patients with NSTE ACS varied widely and in-hospital mortality was similar between low, medium and high utilization centers. CCU care accounted for 45% of hospitalization costs; thus, implementing policies and admission practices to align hospital resources with patient care needs have the potential to reduce overall health care costs.