[Analysis of the unicentric registry of the Infarction Code program: retrospective cohort]. / Análisis del registro unicéntrico del programa Código Infarto: cohorte retrospectiva.

Background: Acute coronary syndrome (ACS) is the most serious manifestation of coronary heart disease. The Infarction Code (according to its initialism in Spanish, CI: Código Infarto) program aims to improve the care of these patients. Objective: To describe the clinical presentation and outcomes of CI program in a coronary care unit (CCU). Material and methods: A database of a CCU with 5 years of consecutive records was analyzed. Patients diagnosed with ACS were included. The groups with acute myocardial infarction with and without ST-segment elevation were compared using Student's t, Mann-Whitney U and chi-squared tests. We calculated the relative risk (RR) and 95% confidence intervals (95% CI) of cardiovascular risk factors for mortality. Results: A total of 4678 subjects were analyzed, 78.7% men, mean age 63 years (± 10.7). 80.76% presented acute myocardial infarction with positive ST-segment elevation and fibrinolytic was granted in 60.8% of cases. Percutaneous coronary intervention was performed in 81.4% of patients, which was successful in 82.5% of events. Patients classified as CI presented mortality of 6.8% vs. 11.7%, p = 0.001. Invasive mechanical ventilation had an RR of 26.58 (95% CI: 20.61-34.3) and circulatory shock an RR of 20.86 (95% CI: 16.16-26.93). Conclusions: The CI program decreased mortality by 4.9%. Early fibrinolysis and successful coronary angiography are protective factors for mortality within CCU.

Introducción: el síndrome coronario agudo (SICA) es la manifestación más grave de la enfermedad coronaria. El programa Código Infarto (CI) tiene como objetivo mejorar la atención de estos pacientes. Objetivo: describir la presentación clínica y los resultados del programa CI de una unidad de cuidados coronarios (UCC). Material y métodos: se analizó una base de datos de una UCC con 5 años de registros consecutivos. Se incluyeron pacientes con diagnóstico de SICA. Se compararon los grupos con infarto agudo de miocardio con y sin elevación del segmento ST mediante las pruebas t de Student, U de Mann-Whitney y chi cuadrada. Se calculó el riesgo relativo (RR) y el intervalo de confianza del 95% (IC 95%) de los factores de riesgo cardiovascular para mortalidad. Resultados: se analizaron 4678 sujetos, 78.7% hombres, con media de edad de 63 años (± 10.7). El 80.76% presentó infarto agudo de miocardio con desnivel positivo del segmento ST y se otorgó fibrinolítico en el 60.8% de los casos. Se realizó intervencionismo coronario percutáneo en el 81.4% de los pacientes, el cual fue exitoso en el 82.5% de los eventos. Los pacientes catalogados como CI presentaron mortalidad del 6.8% frente a 11.7%, p = 0.001. La ventilación mecánica invasiva tuvo una RR de 26.58 (IC 95%: 20.61-34.3) y el choque circulatorio una RR de 20.86 (IC 95%: 16.16-26.93). Conclusiones: el programa CI disminuyó 4.9% la mortalidad. La fibrinólisis temprana y la angiografía coronaria exitosa son factores protectores para mortalidad dentro de la UCC.

Impact of the SARS-CoV-2 pandemic on acute coronary syndrome patients admitted to an urban academic hospital in Soweto, South Africa.

Introduction: recent worldwide data has shown a concerning decline in the number of acute coronary syndrome (ACS) related admissions and percutaneous coronary intervention (PCI) procedures during the coronavirus disease 2019 (COVID-19) pandemic. We suspected a similar trend at Chris Hani Baragwanath Hospital (CHBAH). Methods: a retrospective descriptive study was conducted to evaluate and compare all ACS-related admissions to the cardiac care unit (CCU) at CHBAH in the pre-COVID-19 (November 2019 to March 2020) and during COVID-19 periods (April 2020 to August 2020). Results: the study comprised 182 patients with a mean age of 57.9 ±10.9 years (22.5% females). Of these, 108 (59.32%) patients were admitted in the pre-COVID-19 period and 74 (40.66%) during COVID-19 (p=0.0109). During the pre-COVID-19 period, 42.9% of patients had ST-segment-elevation myocardial infarction (STEMI), 39.2% with non-ST-segment -elevation myocardial infarction (NSTEMI) and unstable angina (UA) was noted in 18.52%. In contrast, STEMI was noted in 50%, NSTEMI in 43.24% and UA in 6.76% of patients during the COVID-19 period. A statistically significant difference in STEMI and NSTEMI-related admissions was not noted, however, there was a greater number of admissions for UA during the pre-COVID-19 period (18.52% vs 6.76%, P =0.013). Only a third of the patients with STEMI received thrombolysis during the pre-and COVID-19 periods (30.4% vs 37.8%, P=0.47). No difference in the number of PCI procedures was noted between the pre-and during the COVID-19 periods (78.7% vs 72.9%, P=0.37). Conclusion: there was a difference in overall ACS admissions to the CCU between pre-and during COVID-19 periods, however no difference between STEMI and NSTEMI in both periods. A higher number of UA admissions was noted during the pre-COVID-19 period. During both periods, the use of thrombolysis was low for STEMI and no difference in PCI was noted.

Clinical complexity of an Italian cardiovascular intensive care unit: the role of mortality and severity risk scores.

AIMS: The identification of patients at greater mortality risk of death at admission into an intensive cardiovascular care unit (ICCU) has relevant consequences for clinical decision-making. We described patient characteristics at admission into an ICCU by predicted mortality risk assessed with noncardiac intensive care unit (ICU) and evaluated their performance in predicting patient outcomes. METHODS: A total of 202 consecutive patients (130 men, 75 ±â€Š12 years) were admitted into our tertiary-care ICCU in a 20-week period. We evaluated, on the first 24 h data, in-hospital mortality risk according to Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score 3 (SAPS 3); Sepsis related Organ Failure Assessment (SOFA) Score and the Mayo Cardiac intensive care unit Admission Risk Score (M-CARS) were also calculated. RESULTS: Predicted mortality was significantly lower than observed (5% during ICCU and 7% at discharge) for APACHE II and SAPS 3 (17% for both scores). Mortality risk was associated with older age, more frequent comorbidities, severe clinical presentation and complications. The APACHE II, SAPS 3, SOFA and M-CARS had good discriminative ability in distinguishing deaths and survivors with poor calibration of risk scores predicting mortality. CONCLUSION: In a recent contemporary cohort of patients admitted into the ICCU for a variety of acute and critical cardiovascular conditions, scoring systems used in general ICU had good discrimination for patients' clinical severity and mortality. Available scores preserve powerful discrimination but the overestimation of mortality suggests the importance of specific tailored scores to improve risk assessment of patients admitted into ICCUs.

Retrospective Analysis of Hospital Acquired Infection and Antibiotic Resistance in Coronary Care Unit (CCU), Adult, and Pediatric Cardiology Wards.

BACKGROUND: Antibiotics resistance is an paramount threat affecting the whole world but nowhere situation is as gloomy as in India. No study till date regarding epidemiology of hospital acquired infections in coronary care units(CCU) and cardiology wards from India. From Indian perspective it is the first observational study to analyse microbiological profile and antibiotic resistance in CCU. The purpose of this observational study is to explore the epidemiology and importance of infections in CCU patients. METHODOLOGY: After ethics committee approval, the records of all patients who were admitted in coronary care units, adult and pediatric cardiology wards surgery between January 2020 and December 2021 were reviewed retrospectively. The type of organism,source of infection ,age wise distribution and seasonal variability among patients who developed hospital acquired infection (HAI) were determined. RESULTS: 271 patients developed microbiologically documented HAI during from January 2020 to December 2021. Maximum number of organisms(78/271 28.78%) are isolated from urinary samples ,followed by blood stream(60/271 22.14%) and Endotracheal tube (54/271 19.92%). Acinetobacter baumanii (53/271, 19.5%) being the most common isolate among all the samples taken . Acinetobacter was the most frequent pathogens isolated in patients with LRTI and blood stream infection while E. coli was from urinary tract infection . In the adult population, infection with E. coli(24.6%) is the most common followed by Klebsiella pneumoniae (12.8%) and Acinetobacter baumanii (10.1%). In the pediatric population Acinetobacter baumanii (38.6%%) is the most common followed by Klebsiella pneumoniae (20.5%) and Methicillin Resistant Staphylococcus aureus, MRSA (6.8%). Commonly used antibiotics eg ciprofloxacin,ceftazidime and amikacin were found to be resistant against the top three isolates. CONCLUSION: Urinary tract was the most common site of infection and Gram-negative bacilli, the most common pathogens in adult as well as pediatric population. Antibiotic resistance was maximum with commonly isolated microorganisms.

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.

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.

The association of the Sequential Organ Failure Assessment score at intensive care unit discharge with intensive care unit readmission in the cardiac intensive care unit.

AIMS: Unplanned intensive care unit (ICU) readmissions contribute to increased morbidity, mortality, and healthcare costs. The severity of patient illness at ICU discharge may predict early ICU readmission. Thus, in this study, we investigated the association of cardiac ICU (CICU) discharge Sequential Organ Failure Assessment (SOFA) score with unplanned CICU readmission in patients admitted to the CICU. METHODS AND RESULTS: We retrospectively reviewed the hospital medical records of 4659 patients who were admitted to the CICU from 2012 to 18. Sequential Organ Failure Assessment scores at CICU admission and discharge were obtained. The predictive performance of organ failure scoring was evaluated by using area under the receiver operating characteristic (AUROC) curves. The primary outcome was unplanned CICU readmission. Of the 3949 patients successfully discharged from the CICU, 184 (4.7%) had an unplanned CICU readmission or they experienced a deteriorated condition but died without being readmitted to the CICU (readmission group). The readmission group had significantly higher rates of organ failure in all organ systems at both CICU admission and discharge than the non-readmission group. The AUROC of the discharge SOFA score for CICU readmission was 0.731, showing good predictive performance. The AUROC of the discharge SOFA score was significantly greater than that of either the initial SOFA score (P = 0.020) or the Acute Physiology and Chronic Health Evaluation II score (P < 0.001). In the multivariable regression analysis, SOFA score, overweight or obese status, history of heart failure, and acute heart failure as reasons for ICU admission were independent predictors of unplanned ICU readmission during the same hospital stay. CONCLUSION: The discharge SOFA score may identify patients at a higher risk of unplanned CICU readmission, enabling targeted interventions to reduce readmission rates and improve patient outcomes.

Machine learning methods for developing a predictive model of the incidence of delirium in cardiac intensive care units.

INTRODUCTION AND OBJECTIVES: Delirium, recognized as a crucial prognostic factor in the cardiac intensive care unit (CICU), has evolved in response to the changing demographics among critically ill cardiac patients. This study aimed to create a predictive model for delirium for patients in the CICU. METHODS: This study included consecutive patients admitted to the CICU of the Samsung Medical Center. To assess the candidate variables for the model: we applied the following machine learning methods: random forest, extreme gradient boosting, partial least squares, and Plmnet-elastic.net. After selecting relevant variables, we performed a logistic regression analysis to derive the model formula. Internal validation was conducted using 100-repeated hold-out validation. RESULTS: We analyzed 2774 patients, 677 (24.4%) of whom developed delirium in the CICU. Machine learning-based models showed good predictive performance. Clinically significant and frequently important predictors were selected to construct a delirium prediction scoring model for CICU patients. The model included albumin level, international normalized ratio, blood urea nitrogen, white blood cell count, C-reactive protein level, age, heart rate, and mechanical ventilation. The model had an area under the receiver operating characteristics curve (AUROC) of 0.861 (95%CI, 0.843-0.879). Similar results were obtained in internal validation with 100-repeated cross-validation (AUROC, 0.854; 95%CI, 0.826-0.883). CONCLUSIONS: Using variables frequently ranked as highly important in four machine learning methods, we created a novel delirium prediction model. This model could serve as a useful and simple tool for risk stratification for the occurrence of delirium at the patient's bedside in the CICU.

Rationale, Design, and Methodology of the MORCOR-TURK Trial: Predictors of In-hospital MORtality in CORonary Care Patients in Turkey.

BACKGROUND: Coronary care units are sophisticated clinics established to reduce deaths due to acute cardiovascular events. Current data on coronary care unit mortality rates and predictors of mortality in Turkey are very limited. The MORtality predictors in CORonary care units in TURKey (MORCOR-TURK) trial was designed to provide information on the mortality rates and predictors in patients followed in coronary care units in Turkey. METHODS: The MORCOR-TURK trial will be a national, observational, multicenter, and noninterventional study conducted in Turkey. The study population will include coronary care unit patients from 50 centers selected from all regions in Turkey. All consecutive patients admitted to coronary care units with cardiovascular diagnoses between 1 and 30 September 2022 will be prospectively enrolled. All data will be collected at one point in time, and the current clinical practice will be evaluated (ClinicalTrials.gov number NCT05296694). In the first step of the study, admission diagnoses, demographic characteristics, basic clinical and laboratory data, and in-hospital management will be assessed. At the end of the first step, the predictors and rates of in-hospital mortality will be documented. The second step will be in cohort design, and discharged patients will be followed up till 1 year. Predictors of short- and long-term mortality will be assessed. Moreover, a new coronary care unit mortality score will be generated with data acquired from this cohort. RESULTS: The short-term outcomes of the study are planned to be shared by early 2023. CONCLUSION: The MORCOR-TURK trial will be the largest and most comprehensive study in Turkey evaluating the rates and predictors of in-hospital mortality of patients admitted to coronary care units.

Management and Outcomes of Cardiogenic Shock in Cardiac ICUs With Versus Without Shock Teams.

BACKGROUND: Single-center studies suggest that implementation of multidisciplinary cardiogenic shock (CS) teams is associated with improved CS survival. OBJECTIVES: The aim was to characterize practice patterns and outcomes in the management of CS across multiple centers with versus without shock teams. METHODS: The Critical Care Cardiology Trials Network is a multicenter network of cardiac intensive care units (CICUs) in North America. All consecutive medical admissions to each CICU (n = 24) were captured during annual 2-month collection periods (2017-2019; n = 6,872). Shock management and CICU mortality among centers with versus without shock teams were compared using inverse probability weighting. RESULTS: Ten of the 24 centers had shock teams. Among 1,242 CS admissions, 44% were at shock team centers. The groups were well-balanced with respect to demographics, shock etiology, Sequential Organ Failure Assessment score, biochemical markers of end organ dysfunction, and invasive hemodynamics. Centers with shock teams used more pulmonary artery catheters (60% vs 49%; adjusted odds ratio [OR]: 1.86; 95% CI: 1.47-2.35; P < 0.001), less overall mechanical circulatory support (MCS) (35% vs 43%; adjusted OR: 0.74; 95% CI: 0.59-0.95; P = 0.016), and more advanced types of MCS (53% vs 43% of all MCS; adjusted OR: 1.73; 95% CI: 1.19-2.51; P = 0.005) rather than intra-aortic balloon pumps. The presence of a shock team was independently associated with lower CICU mortality (23% vs 29%; adjusted OR: 0.72; 95% CI: 0.55-0.94; P = 0.016). CONCLUSIONS: In this multicenter observational study, centers with shock teams were more likely to obtain invasive hemodynamics, use advanced types of MCS, and have lower risk-adjusted mortality. A standardized multidisciplinary shock team approach may improve outcomes in CS.

Predicting 1-Year Mortality on Admission Using the Mayo Cardiac Intensive Care Unit Admission Risk Score.

OBJECTIVE: To determine whether the Mayo Cardiac Intensive Care Unit (CICU) Admission Risk Score (M-CARS) accurately predicts 1-year mortality. METHODS: We retrospectively reviewed adult CICU patients admitted from January 1, 2007, through April 30, 2018, and calculated M-CARS using admission data. We examined the association between admission M-CARS, as continuous and categorical variables, and 1-year mortality. RESULTS: This study included 12,428 unique patients with a mean age of 67.6±15.2 years (4686 [37.7%] female). A total of 2839 patients (22.8%) died within 1 year of admission, including 1149 (9.2%) hospital deaths and 1690 (15.0%) of the 11,279 hospital survivors. The 1-year survival decreased incrementally as a function of increasing M-CARS (P<.001), and all components of M-CARS were significant predictors of 1-year mortality (P<.001). The 1-year survival among hospital survivors decreased incrementally as a function of increasing M-CARS for scores below 3 (all P<.001); however, there was no further decrease in 1-year survival for hospital survivors with M-CARS of 3 or more (P=.99). The M-CARS components associated with 1-year mortality among hospital survivors included blood urea nitrogen, red blood cell distribution width, Braden skin score, and respiratory failure (all P<.001). CONCLUSION: M-CARS predicted 1-year mortality among CICU admissions, with a plateau effect at high M-CARS of 3 or more for hospital survivors. Significant added predictors of 1-year mortality among hospital survivors included markers of frailty and chronic illness.

Association of monocyte-lymphocyte ratio with in-hospital mortality in cardiac intensive care unit patients.

BACKGROUND: Inflammatory cell plays a very important part in the occurrence and development of cardiovascular disease. As a combination of lymphocyte and monocyte, monocyte-lymphocyte ratio (MLR) was proved to be related to the severity and prognosis of cardiovascular diseases. Our objective was to explore the association between MLR and in-hospital mortality in cardiac intensive care unit (CICU) patients. METHOD: MLR was obtained by dividing monocyte percentage by lymphocyte percentage. All patients were grouped by MLR quartiles. Primary outcome was in-hospital mortality. Binary logistic regression analysis was performed to determine the independent effect of MLR. RESULT: 5512 CICU patients were included. In-hospital mortality increased as MLR quartiles increased (Quartile 4 vs Quartile 1: 16.3 vs 7.8, P < 0.001). After adjusting for confounding variables, MLR was proved to be independently associated with increased risk of in-hospital mortality (Quartile 4 vs Quartile 1: OR, 95% CI: 1.87, 1.38-2.56, P < 0.001, P for trend < 0.001). Subgroup analysis revealed that patients with low Acute Physiology and Chronic Health Evaluation IV (APACHE IV) or with less comorbidities had higher risk of mortality for MLR. As MLR quartiles increased, length of CICU stay (Quartile 4 vs Quartile 1: 2.8, 1.7-5.4 vs 2.1, 1.2-3.7, P < 0.001) and hospital stay (Quartile 4 vs Quartile 1: 8.3, 4.8-11.1 vs 5.3, 3.1-9.3, P < 0.001) were prolonged. CONCLUSION: MLR was independently correlated with in-hospital mortality in CICU patients.

Oral aspirin or low dose of intravenous lysine acetylsalicylate in ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention.

AIM: To compare the pharmacodynamic effect of an oral loading dose of 'noncoated' ASA 300 mg vs. an intravenous bolus injection of lysine acetylsalicylate 150 mg in patients with STEMI undergoing pPCI. METHODS: This was a prospective single-center, open label, pharmacodynamic study, including nonconsecutive patients presenting at our catheterization laboratory with STEMI undergoing pPCI and not receiving ASA within the previous 7 days. Pharmacodynamic analyses were performed at five time points: baseline, and 1, 2, 4 and 12 h after the loading dose, and measured as ASA reaction units (ARU) by the Verify Now System. An ARU more than 550 was considered as nonresponsiveness to study drugs. The primary end point was the different rate of patients with ARU more than 550 at 2 h after the loading dose of oral vs. intravenous ASA. Secondary end points included the comparison of ARU more than 550 at the other time points and the comparison of continuous ARU at each time point. RESULTS: The study was planned with a sample size of 68 patients, but it was prematurely stopped due to slow enrollment after the inclusion of 23 patients, 12 randomized to oral ASA and 11 to intravenous lysine acetylsalicylate. At 2 h the rate of patients with ARU more than 550 was numerically but not significantly higher in patients receiving oral ASA as compared with intravenous lysine acetylsalicylate (33 vs. 14.2%; Δ -0.19, 95% confidence interval -0.59-0.21, P = 0.58). The difference over time was NS (P = 0.98), though the prevalence of ARU more than 550 was higher at the other time points. Both routes of administration reduced ARU values over time, though with no overall significant difference between profiles (P overall = 0.48). CONCLUSION: In patients with STEMI undergoing pPCI the rate of nonresponsiveness to ASA was not different comparing an oral 'noncoated' loading dose of ASA with an intravenous bolus injection of lysine acetylsalicylate. However, as patient enrollment was prematurely terminated, this study is underpowered to draw a definite conclusion.

Predictors of adherence to composite therapy after acute coronary syndromes.

AIMS: Adherence to medical therapy following acute coronary syndrome (ACS) affects a patient's prognosis. In this cohort study, we sought to assess the factors that could affect a patient's adherence to therapy after ACS. METHODS: We prospectively collected information from patients (N = 964) hospitalized at the coronary care unit of the Federico II University Hospital, from 1 January 2015 to 30 June 2017, for ACS. Adherence to three classes of drugs including statins, antiplatelets [dual or single antiplatelet agent (SAPT)] and angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACE-I/ARB) and their composites were assessed at 1 month, 1 and 2 years after discharge. RESULTS: At 30 days adherence to prescribed therapy was 94.4% for dual antiplatelet therapy (DAPT), 78.2% for statins, 92.7% for ACE-I/ARB and 70.7% for multitherapy. At 1 year, it was 91.1% for DAPT, 81.2% for ACE-I/ARB, 84.9% for statins and 71.4% for multitherapy. At 2 years, it was 97.1% for SAPT, 78.1% for ACE-I/ARB, 91.8% for statins, 72.8% for multitherapy. Multivariable logistic analysis demonstrated that at each time point, a telephone follow-up assessment predicts nonadherence to multitherapy and that a percutaneous coronary intervention at the index hospitalization is an independent predictor of adherence to composite therapy at 1 month and 1 year. CONCLUSION: Up to 2 years after ACS, three out of four patients are adherent to multitherapy prescription; percutaneous coronary intervention during the index hospitalization improves a patient's adherence, whereas telephone follow-up is associated with reduced adherence to multitherapy.Campania Salute Network Registry (Clinical Trials.gov Identifier: NCT02211365).

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.

Palliative Care Referrals in Cardiac Disease.

OBJECTIVES: With evidence of benefits of pediatric palliative care (PPC) integration, we sought to characterize subspecialty PPC referral patterns and end of life (EOL) care in pediatric advanced heart disease (AHD). METHODS: In this retrospective cohort study, we compared inpatient pediatric (<21 years) deaths due to AHD in 2 separate 3-year epochs: 2007-2009 (early) and 2015-2018 (late). Demographics, disease burden, medical interventions, mode of death, and hospital charges were evaluated for temporal changes and PPC influence. RESULTS: Of 3409 early-epoch admissions, there were 110 deaths; the late epoch had 99 deaths in 4032 admissions. In the early epoch, 45 patients (1.3% admissions, 17% deaths) were referred for PPC, compared with 146 late-epoch patients (3.6% admissions, 58% deaths). Most deaths (186 [89%]) occurred in the cardiac ICU after discontinuation of life-sustaining therapy (138 [66%]). Medical therapies included ventilation (189 [90%]), inotropes (184 [88%]), cardiopulmonary resuscitation (68 [33%]), or mechanical circulatory support (67 [32%]), with no temporal difference observed. PPC involvement was associated with decreased mechanical circulatory support, ventilation, inotropes, or cardiopulmonary resuscitation at EOL, and children were more likely to be awake and be receiving enteral feeds. PPC involvement increased advance care planning, with lower hospital charges on day of death and 7 days before (respective differences $5058 [P = .02] and $25 634 [P = .02]). CONCLUSIONS: Pediatric AHD deaths are associated with high medical intensity; however, children with PPC consultation experienced substantially less invasive interventions at EOL. Further study is warranted to explore these findings and how palliative care principles can be better integrated into care.

Application effect of initiation of enteral nutrition at different time periods after surgery in neonates with complex congenital heart disease: A retrospective analysis.

ABSTRACT: Early enteral nutrition (EN) promotes the recovery of critically ill patients, but the initiation time for EN in neonates after cardiac surgery remains unclear.This study aimed to investigate the effect of initiation time of EN after cardiac surgery in neonates with complex congenital heart disease (CHD).Neonates with complex CHD admitted to the CICU from January 2015 to December 2017 were retrospectively analyzed. Patients were divided into the 24-hour Group (initiated at 24 hours after surgery in 2015) (n = 32) and 6-hour Group (initiated at 6 hours after surgery in 2016 and 2017) (n = 66). Data on the postoperative feeding intolerance, nutrition-related laboratory tests (albumin, prealbumin, retinol binding protein), and clinical outcomes (including duration of mechanical ventilation, CICU stay, and postoperative hospital stay) were collected.The incidence of feeding intolerance was 56.3% in 24-hour Group and 39.4%, respectively (P = .116). As compared to 24-hour Group, prealbumin and retinol binding protein levels were higher (160.7 ±â€Š64.3 vs 135.2 ±â€Š28.9 mg/L, P = .043 for prealbumin; 30.7 ±â€Š17.7 vs 23.0 ±â€Š14.1 g/L P = .054 for retinol-binding protein). The duration of CICU stay (9.4 ±â€Š4.5 vs 13.3 ±â€Š10.4 day, P = .049) and hospital stay (11.6 ±â€Š3.0 vs 15.8 ±â€Š10.3 day, P = .028) were shorter in 6-hour Group.Early EN improves nutritional status and clinical outcomes in neonates with complex CHD undergoing cardiac surgery, without significant feeding intolerance.

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.

Early Mobilization in People With Acute Cardiovascular Disease.

BACKGROUND: Early mobilization (EM) is recommended in critical care units. However, there is little known about EM in people with acute cardiovascular disease. METHODS: Consecutive admissions to a tertiary-care cardiovascular intensive care unit (CICU) before and after implementation of an EM program were reviewed. The Level of Function (LOF) Mobility Scale, which ranges from 0 (bed immobile) to 5 (able to walk >20 m), was used to measure and guide mobility. The primary outcome was discharge home. RESULTS: There were 1489 patients included in the analysis (preintervention, N = 637; intervention, N = 852). There were no differences in age, sex, or admission for ischemic heart disease (age 68.1 ± 16.1 years; 39.3% female). In the intervention cohort, one-quarter (N = 222; 26.1%) had at least mildly impaired prehospital functional status. The LOF was 4.6 ± 0.7 prehospital, 3.2 ± 1.4 on admission, and 4.2 ± 0.9 on CICU discharge. Half of patients (51.6%) increased their LOF by ≥1 during CICU admission. Nearly all mobility opportunities had a mobility activity (97.0%). The adverse event rate was 0.3% with no life-threatening events, falls, line dislodgements, or health care personnel injuries. The intervention group, compared with the preintervention group, was more likely to be discharged home (83.9% vs 78.3%, P < 0.007) and had a lower rate of in-hospital death (4.2% vs 6.8%; P = 0.04). When adjusted for age, sex, and comorbid illness, admission LOF was a predictor of discharge to health care facility (odds ratio = 0.72; P < 0.001). CONCLUSIONS: EM is safe and feasible in the CICU and effective at increasing discharge home.

Prevalence of Noncardiac Multimorbidity in Patients Admitted to Two Cardiac Intensive Care Units and Their Association with Mortality.

BACKGROUND: Current cardiac intensive care unit (CICU) practice has seen an increase in patient complexity, including an increase in noncardiac organ failure, critical care therapies, and comorbidities. We sought to describe the changing epidemiology of noncardiac multimorbidity in the CICU population. METHODS: We analyzed consecutive unique patient admissions to 2 geographically distant tertiary care CICUs (n = 16,390). We assessed for the prevalence of 0, 1, 2, and ≥3 noncardiac comorbidities (diabetes, chronic lung, liver, and kidney disease, cancer, and stroke/transient ischemic attack) and their associations with hospital and postdischarge 1-year mortality using multivariable logistic regression. RESULTS: The prevalence of 0, 1, 2, and ≥3 noncardiac comorbidities was 37.7%, 31.4%, 19.9%, and 11.0%, respectively. Increasing noncardiac comorbidities were associated with a stepwise increase in mortality, length of stay, noncardiac indications for ICU admission, and increased utilization of critical care therapies. After multivariable adjustment, compared with those without noncardiac comorbidities, there was an increased hospital mortality for patients with 1 (odds ratio [OR] 1.30; 95% confidence interval [CI], 1.10-1.54, P = .002), 2 (OR 1.47; 95% CI, 1.22-1.77, P < .001), and ≥3 (OR 1.79; 95% CI, 1.44-2.22, P < .001) noncardiac comorbidities. Similar trends for each additional noncardiac comorbidity were seen for postdischarge 1-year mortality (P < .001, all). CONCLUSIONS: In 2 large contemporary CICU populations, we found that noncardiac multimorbidity was highly prevalent and a strong predictor of short- and long-term adverse clinical outcomes. Further study is needed to define the best care pathways for CICU patients with acute cardiac illness complicated by noncardiac multimorbidity.