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1.
J Am Coll Cardiol ; 84(15): 1436-1454, 2024 Oct 08.
Article in English | MEDLINE | ID: mdl-39357941

ABSTRACT

This consensus statement emerges from collaborative efforts among leading figures in critical care cardiology throughout the United States, who met to share their collective expertise on issues faced by those active in or pursuing contemporary critical care cardiology education. The panel applied fundamentals of adult education and curriculum design, reviewed requisite training necessary to provide high-quality care to critically ill patients with cardiac pathology, and devoted attention to a purposeful approach emphasizing diversity, equity, and inclusion in developing this nascent field. The resulting paper offers a comprehensive guide for current trainees, with insights about the present landscape of critical care cardiology while highlighting issues that need to be addressed for continued advancement. By delineating future directions with careful consideration and intentionality, this Expert Panel aims to facilitate the continued growth and maturation of critical care cardiology education and practice.


Subject(s)
Cardiology , Critical Care , Cardiology/education , Humans , Critical Care/standards , United States , Curriculum , Minnesota , Education, Medical, Graduate/methods
2.
JACC Case Rep ; 29(18): 102527, 2024 Sep 18.
Article in English | MEDLINE | ID: mdl-39359976

ABSTRACT

Eosinophilic myocarditis (EM) is a rare cause of heart failure, with high in-hospital mortality associated with fulminant disease. A 61-year-old female transplant recipient was diagnosed with COVID-19 after presenting with 2 days of constitutional symptoms. She developed acute heart failure from EM. After an initial response to inotropic support and corticosteroids, she had a relapse with de novo peripheral eosinophilia which responded to further eosinophilic myocarditis management and the addition of mepolizumab. Although there have been reports after COVID-19 vaccination, association with active SARS-CoV-2 infection is rare. This paper reports, for the first time, the case of a heart transplant recipient with EM after COVID-19.

3.
J Card Fail ; 30(10): 1211-1219, 2024 Oct.
Article in English | MEDLINE | ID: mdl-39389728

ABSTRACT

BACKGROUND: Sex-based disparities have been demonstrated in care delivery for females with cardiogenic shock (CS), including lower use of coronary angiography (CAG), percutaneous intervention (PCI) and mechanical circulatory support (MCS). We evaluated whether sex-based disparities exist and are associated with worse CS outcomes in females. METHODS: We studied a retrospective cohort of 1498 consecutive, unique adult cardiovascular intensive care unit (CICU) admissions with CS from 2007-2018. RESULTS: Compared to males, females (n = 566, 37.1%) were older (71.7 vs 67.8 years; P < 0.001) but had similar burdens of medical comorbidities. Acute myocardial infarction (AMI) was present in 54.1% of females and 59.1% of males (P = 0.06). There were no sex-based differences in the use of CAG and PCI, but females received temporary MCS less commonly. Specifically, females with non-AMI CS received MCS devices less commonly (17.6% vs 24.4%; P = 0.04). There was no difference in in-hospital or 1-year mortality rates between the sexes. Compared to males, females who received PCI had lower risks of 1-year mortality (unadjusted HR 0.72; P = 0.03), whereas females who received CAG without PCI had higher risks of 1-year mortality (unadjusted HR 1.41; P = 0.02). CONCLUSIONS: No sex-based disparities in mortality due to CS were demonstrated in this large, diverse cohort of patients with CICU admissions. Females who underwent PCI demonstrated lower risks of 1-year mortality, whereas females who underwent CAG without PCI demonstrated higher risks of 1-year mortality compared to males. This may reflect underuse of PCI as a mortality-reducing therapy in females.


Subject(s)
Shock, Cardiogenic , Humans , Shock, Cardiogenic/therapy , Shock, Cardiogenic/mortality , Female , Male , Aged , Retrospective Studies , Sex Factors , Middle Aged , Hospital Mortality/trends , Survival Rate/trends , Percutaneous Coronary Intervention/methods , Aged, 80 and over , Cohort Studies
4.
J Card Fail ; 30(10): 1367-1383, 2024 Oct.
Article in English | MEDLINE | ID: mdl-39389747

ABSTRACT

As cardiovascular care continues to advance and with an aging population with higher comorbidities, the epidemiology of the cardiac intensive care unit has undergone a paradigm shift. There has been increasing emphasis on the development of multidisciplinary teams (MDTs) for providing holistic care to complex critically ill patients, analogous to heart teams for chronic cardiovascular care. Outside of cardiovascular medicine, MDTs in critical care medicine focus on implementation of guideline-directed care, prevention of iatrogenic harm, communication with patients and families, point-of-care decision-making, and the development of care plans. MDTs in acute cardiovascular care include physicians from cardiovascular medicine, critical care medicine, interventional cardiology, cardiac surgery, and advanced heart failure, in addition to nonphysician team members. In this document, we seek to describe the changes in patients in the cardiac intensive care unit, health care delivery, composition, logistics, outcomes, training, and future directions for MDTs involved in acute cardiovascular care. As a part of the comprehensive review, we performed a scoping of concepts of MDTs, acute hospital care, and cardiovascular conditions and procedures.


Subject(s)
Cardiovascular Diseases , Patient Care Team , Humans , Patient Care Team/organization & administration , Cardiovascular Diseases/therapy , Cardiovascular Diseases/epidemiology , Critical Care/trends , Critical Care/methods , Forecasting
5.
JACC Adv ; 3(9): 101169, 2024 Sep.
Article in English | MEDLINE | ID: mdl-39372474

ABSTRACT

Background: Hyperkalemia has been associated with increased mortality in cardiac intensive care unit (CICU) patients. An artificial intelligence (AI) enhanced electrocardiogram (ECG) can predict hyperkalemia, and other AI-ECG algorithms have demonstrated mortality risk-stratification in CICU patients. Objectives: The authors hypothesized that the AI-ECG hyperkalemia algorithm could stratify mortality risk beyond laboratory serum potassium measurement alone. Methods: We included 11,234 unique Mayo Clinic CICU patients admitted from 2007 to 2018 with a 12-lead ECG and blood potassium (K) level obtained at admission with K ≥5 mEq/L defining hyperkalemia. ECGs underwent AI evaluation for the probability of hyperkalemia (probability >0.5 defined as positive). Hospital mortality was analyzed using logistic regression, and survival to 1 year was estimated using Kaplan-Meier and Cox analysis. Results: In the final cohort (n = 11,234), the mean age was 69.6 ± 10.5 years, 37.8% were females, and 92.4% were White. Chronic kidney disease was present in 20.2%. The mean laboratory potassium value for the cohort was 4.2 ± 0.3 mEq/L. The AI-ECG predicted hyperkalemia in 33.9% (n = 3,810) of CICU patients and 12.9% (n = 1,451) of patients had laboratory-confirmed hyperkalemia (K ≥5 mEq/L). In-hospital mortality increased in false-positive, false-negative, and true-positive patients, respectively (P < 0.001), and each of these patient groups had successively lower survival out to 1 year. Conclusions: AI-ECG-based prediction of hyperkalemia, even with a normal laboratory potassium value, was associated with higher in-hospital mortality and lower 1-year survival in CICU patients. This study demonstrated that AI-ECG probability of hyperkalemia may enable rapid individualized risk stratification in critically ill patients beyond laboratory value alone.

7.
Resusc Plus ; 20: 100777, 2024 Dec.
Article in English | MEDLINE | ID: mdl-39314255

ABSTRACT

Introduction: The role of palliative care services in patients with cardiac arrest complicating acute pulmonary embolism has been infrequently studied. Methods: All adult admissions with pulmonary embolism complicating cardiac arrest were identified using the National Inpatient Sample (2016-2020). The primary outcome of interest was the utilization of palliative care services. Secondary outcomes included predictors of palliative care utilization and its association of with in-hospital mortality, do-not-resuscitate status, discharge disposition, length of stay, and total hospital charges. Multivariable regression analysis was used to adjust for confounding. Results: Between 01/01/2016 and 12/31/2020, of the 7,320 admissions with pulmonary embolism complicating cardiac arrest, 1229 (16.8 %) received palliative care services. Admissions receiving palliative care were on average older (68.1 ± 0.9 vs. 63.2 ± 0.4 years) and with higher baseline comorbidity (Elixhauser index 6.3 ± 0.1 vs 5.6 ± 0.6) (all p < 0.001). Additionally, this cohort had higher rates of non-cardiac organ failure (respiratory, renal, hepatic, and neurological) and invasive mechanical ventilation (all p < 0.05). Catheter-directed therapy was used less frequently in the cohort receiving palliative care, (2.8 % vs 7.9 %; p < 0.001) whereas the rates of systemic thrombolysis, mechanical and surgical thrombectomy were comparable. The cohort receiving palliative care services had higher in-hospital mortality (85.7 % vs. 69.1 %; adjusted odds ratio 2.20 [95 % CI 1.41-3.42]; p < 0.001). This cohort also had higher rates of do-not-resuscitate status and fewer discharges to home, but comparable hospitalization costs and length of hospital stay. Conclusions: Palliative care services are used in only 16.8 % of admissions with cardiac arrest complicating pulmonary embolism with significant differences in the populations, suggestive of selective consultation.

8.
Clin J Am Soc Nephrol ; 19(8): 952-958, 2024 08 01.
Article in English | MEDLINE | ID: mdl-39116276

ABSTRACT

Background: Artificial intelligence (AI) electrocardiogram (ECG) analysis can enable detection of hyperkalemia. In this validation, we assessed the algorithm's performance in two high acuity settings. Methods: An emergency department (ED) cohort (February to August 2021) and a mixed intensive care unit (ICU) cohort (August 2017 to February 2018) were identified and analyzed separately. For each group, pairs of laboratory-collected potassium and 12 lead ECGs obtained within 4 hours of each other were identified. The previously developed AI ECG algorithm was subsequently applied to leads 1 and 2 of the 12 lead ECGs to screen for hyperkalemia (potassium >6.0 mEq/L). Results: The ED cohort (N=40,128) had a mean age of 60 years, 48% were male, and 1% (N=351) had hyperkalemia. The area under the curve (AUC) of the AI-enhanced ECG (AI-ECG) to detect hyperkalemia was 0.88, with sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and positive likelihood ratio (LR+) of 80%, 80%, 3%, 99.8%, and 4.0, respectively, in the ED cohort. Low-eGFR (<30 ml/min) subanalysis yielded AUC, sensitivity, specificity, PPV, NPV, and LR+ of 0.83, 86%, 60%, 15%, 98%, and 2.2, respectively, in the ED cohort. The ICU cohort (N=2636) had a mean age of 65 years, 60% were male, and 3% (N=87) had hyperkalemia. The AUC for the AI-ECG was 0.88 and yielded sensitivity, specificity, PPV, NPV, and LR+ of 82%, 82%, 14%, 99%, and 4.6, respectively in the ICU cohort. Low-eGFR subanalysis yielded AUC, sensitivity, specificity, PPV, NPV, and LR+ of 0.85, 88%, 67%, 29%, 97%, and 2.7, respectively in the ICU cohort. Conclusions: The AI-ECG algorithm demonstrated a high NPV, suggesting that it is useful for ruling out hyperkalemia, but a low PPV, suggesting that it is insufficient for treating hyperkalemia.


Subject(s)
Artificial Intelligence , Electrocardiography , Hyperkalemia , Humans , Hyperkalemia/diagnosis , Hyperkalemia/blood , Male , Female , Aged , Middle Aged , Predictive Value of Tests
9.
ESC Heart Fail ; 2024 Aug 19.
Article in English | MEDLINE | ID: mdl-39160644

ABSTRACT

AIMS: Hospitalized patients with heart failure (HF) are a heterogeneous population, with multiple phenotypes proposed. Prior studies have not examined the biological phenotypes of critically ill patients with HF admitted to the contemporary cardiac intensive care unit (CICU). We aimed to leverage unsupervised machine learning to identify previously unknown HF phenotypes in a large and diverse cohort of patients with HF admitted to the CICU. METHODS: We screened 6008 Mayo Clinic CICU patients with an admission diagnosis of HF from 2007 to 2018 and included those without missing values for common laboratory tests. Consensus k-means clustering was performed based on 10 common admission laboratory values (potassium, chloride, anion gap, blood urea nitrogen, haemoglobin, red blood cell distribution width, mean corpuscular volume, platelet count, white blood cell count and neutrophil-to-lymphocyte ratio). In-hospital mortality was evaluated using logistic regression, and 1 year mortality was evaluated using Cox proportional hazard models after multivariable adjustment. RESULTS: Among 4877 CICU patients with HF who had complete admission laboratory data (mean age 69.4 years, 38.4% females), we identified five clusters with divergent demographics, comorbidities, laboratory values, admission diagnoses and use of critical care therapies. We labelled these clusters based on the characteristic laboratory profile of each group: uncomplicated (25.7%), iron-deficient (14.5%), cardiorenal (18.4%), inflamed (22.3%) and hypoperfused (19.2%). In-hospital mortality occurred in 10.7% and differed between the phenotypes: uncomplicated, 2.7% (reference); iron-deficient, 8.1% [adjusted odds ratio (OR) 2.18 (1.38-3.48), P < 0.001]; cardiorenal, 10.3% [adjusted OR 2.11 (1.37-3.32), P < 0.001]; inflamed, 12.5% [adjusted OR 1.79 (1.18-2.76), P = 0.007]; and hypoperfused, 21.9% [adjusted OR 4.32 (2.89-6.62), P < 0.001]. These differences in mortality between phenotypes were consistent when patients were stratified based on demographics, aetiology, admission diagnoses, mortality risk scores, shock severity and systolic function. One-year mortality occurred in 31.5% and differed between the phenotypes: uncomplicated, 11.9% (reference); inflamed, 26.8% [adjusted hazard ratio (HR) 1.56 (1.27-1.92), P < 0.001]; iron-deficient, 33.8% [adjusted HR 2.47 (2.00-3.04), P < 0.001]; cardiorenal, 41.2% [adjusted HR 2.41 (1.97-2.95), P < 0.001]; and hypoperfused, 52.3% [adjusted HR 3.43 (2.82-4.18), P < 0.001]. Similar findings were observed for post-discharge 1 year mortality. CONCLUSIONS: Unsupervised machine learning clustering can identify multiple distinct clinical HF phenotypes within the CICU population that display differing mortality profiles both in-hospital and at 1 year. Mortality was lowest for the uncomplicated HF phenotype and highest for the hypoperfused phenotype. The inflamed phenotype had comparatively higher in-hospital mortality yet lower post-discharge mortality, suggesting divergent short-term and long-term prognosis.

10.
Curr Probl Cardiol ; 49(10): 102738, 2024 Oct.
Article in English | MEDLINE | ID: mdl-39025170

ABSTRACT

BACKGROUND: Arterial hyperoxia (hyperoxemia), defined as a high arterial partial pressure of oxygen (PaO2), has been associated with adverse outcomes in critically ill populations, but has not been examined in the cardiac intensive care unit (CICU). We evaluated the association between exposure to hyperoxia on admission with in-hospital mortality in a mixed CICU cohort. METHODS: We included unique Mayo Clinic CICU patients admitted from 2007 to 2018 with admission PaO2 data (defined as the PaO2 value closest to CICU admission) and no hypoxia (PaO2 < 60mmHg). The admission PaO2 was evaluated as a continuous variable and categorized (60-100 mmHg, 101-150 mmHg, 151-200 mmHg, 201-300 mmHg, >300 mmHg). Logistic regression was used to evaluate predictors of in-hospital mortality before and after multivariable adjustment. RESULTS: We included 3,368 patients with a median age of 70.3 years; 70.3% received positive-pressure ventilation. The median PaO2 was 99 mmHg, with a distribution as follows: 60-100 mmHg, 51.9%; 101-150 mmHg, 28.6%; 151-200 mmHg, 10.6%; 201-300 mmHg, 6.4%; >300 mmHg, 2.5%. A J-shaped association between admission PaO2 and in-hospital mortality was observed, with a nadir around 100 mmHg. A higher PaO2 was associated with increased in-hospital mortality (adjusted OR 1.17 per 100 mmHg higher, 95% CI 1.01-1.34, p = 0.03). Patients with PaO2 >300 mmHg had higher in-hospital mortality versus PaO2 60-100 mmHg (adjusted OR 2.37, 95% CI 1.41-3.94, p < 0.001). CONCLUSIONS: Hyperoxia at the time of CICU admission is associated with higher in-hospital mortality, primarily in those with severely elevated PaO2 >300 mmHg.


Subject(s)
Hospital Mortality , Hyperoxia , Humans , Hyperoxia/mortality , Hospital Mortality/trends , Female , Male , Aged , Retrospective Studies , Middle Aged , Coronary Care Units/statistics & numerical data , Oxygen , Intensive Care Units/statistics & numerical data , Critical Illness/mortality , Risk Factors , Aged, 80 and over
11.
JACC Adv ; 3(1): 100757, 2024 Jan.
Article in English | MEDLINE | ID: mdl-38939813

ABSTRACT

Background: Inflammation is a sequela of cardiovascular critical illness and a risk factor for mortality. Objectives: This study aimed to evaluate the association between white blood cell count (WBC) and mortality in a broad population of patients admitted to the cardiac intensive care unit (CICU). Methods: This retrospective cohort study included patients admitted to the Mayo Clinic CICU between 2007 and 2018. We analyzed WBC as a continuous variable and then categorized WBC as low (<4.0 × 103/mL), normal (≥4.0 to <11.0 × 103/mL), high (≥11.0 to <22.0 × 103/mL), or very high (≥22.0 × 103/mL). The association between WBC and in-hospital mortality was evaluated using multivariable logistic regression and random forest models. Results: We included 11,699 patients with a median age of 69.3 years (37.6% females). Median WBC was 9.6 (IQR: 7.4-12.7). Mortality was higher in the low (10.5%), high (12.0%), and very high (33.3%) WBC groups relative to the normal WBC group (5.3%). A rising WBC was incrementally associated with higher in-hospital mortality after adjustment (AICc adjusted OR: 1.03 [95% CI: 1.02-1.04] per 1 × 103 increase in WBC). After adjustment, only the high (AICc adjusted OR: 1.37 [95% CI: 1.15-1.64]) and very high (AICc adjusted OR: 1.99 [1.47-2.71]) WBC groups remained associated with increased risk of in-hospital mortality. Conclusions: Leukocytosis is associated with an increased mortality risk in a diverse cohort of CICU patients. This readily available marker of systemic inflammation may be useful for risk stratification within the increasingly complex CICU patient population.

14.
Circ Heart Fail ; 17(5): e011736, 2024 May.
Article in English | MEDLINE | ID: mdl-38587438

ABSTRACT

BACKGROUND: Associations of early changes in vasoactive support with cardiogenic shock (CS) mortality remain incompletely defined. METHODS: The Critical Care Cardiology Trials Network is a multicenter registry of cardiac intensive care units. Patients admitted with CS (2018-2023) had vasoactive dosing assessed at 4 and 24 hours from cardiac intensive care unit admission and quantified by the vasoactive-inotropic score (VIS). Prognostic associations of VIS at both time points, as well as change in VIS from 4 to 24 hours, were examined. Interaction testing was performed based on mechanical circulatory support status. RESULTS: Among 3665 patients, 82% had a change in VIS <10, with 7% and 11% having a ≥10-point increase and decrease from 4 to 24 hours, respectively. The 4 and 24-hour VIS were each associated with cardiac intensive care unit mortality (13%-45% and 11%-73% for VIS <10 to ≥40, respectively; Ptrend <0.0001 for each). Stratifying by the 4-hour VIS, changes in VIS from 4 to 24 hours had a graded association with mortality, ranging from a 2- to >4-fold difference in mortality comparing those with a ≥10-point increase to ≥10-point decrease in VIS (Ptrend <0.0001). The change in VIS alone provided good discrimination of cardiac intensive care unit mortality (C-statistic, 0.72 [95% CI, 0.70-0.75]) and improved discrimination of the 24-hour Sequential Organ Failure Assessment score (0.72 [95% CI, 0.69-0.74] to 0.76 [95% CI, 0.74-0.78]) and the clinician-assessed Society for Cardiovascular Angiography and Interventions shock stage (0.72 [95% CI, 0.70-0.74] to 0.77 [95% CI, 0.75-0.79]). Although present in both groups, the mortality risk associated with VIS was attenuated in patients managed with versus without mechanical circulatory support (odds ratio per 10-point higher 24-hour VIS, 1.36 [95% CI, 1.23-1.49] versus 1.84 [95% CI, 1.69-2.01]; Pinteraction <0.0001). CONCLUSIONS: Early changes in the magnitude of vasoactive support in CS are associated with a gradient of risk for mortality. These data suggest that early VIS trajectory may improve CS prognostication, with the potential to be leveraged for clinical decision-making and research applications in CS.


Subject(s)
Registries , Shock, Cardiogenic , Humans , Shock, Cardiogenic/mortality , Shock, Cardiogenic/therapy , Male , Female , Aged , Middle Aged , Critical Care/methods , Time Factors , Hospital Mortality , Prognosis , Risk Assessment
15.
Cardiol Clin ; 42(2): 195-213, 2024 May.
Article in English | MEDLINE | ID: mdl-38631790

ABSTRACT

The acute aortic syndromes (AAS) are life-threatening vascular compromises within the aortic wall. These include aortic dissection (AD), intramural hematoma (IMH), penetrating aortic ulcer (PAU), and blunt traumatic thoracic aortic injury (BTTAI). While patients classically present with chest pain, the presentation may be highly variable. Timely diagnosis is critical to initiate definitive treatment and maximize chances of survival. In high-risk patients, treatment should begin immediately, even while diagnostic evaluation proceeds. The mainstay of medical therapy is acute reduction of heart rate and blood pressure. Surgical intervention is often required but is informed by patient anatomy and extent of vascular compromise.


Subject(s)
Aortic Diseases , Aortic Dissection , Humans , Aortic Diseases/diagnosis , Triage , Aorta
16.
PLoS One ; 19(4): e0298327, 2024.
Article in English | MEDLINE | ID: mdl-38626151

ABSTRACT

BACKGROUND: An elevated shock index (SI) predicts worse outcomes in multiple clinical arenas. We aimed to determine whether the SI can aid in mortality risk stratification in unselected cardiac intensive care unit patients. METHODS: We included admissions to the Mayo Clinic from 2007 to 2015 and stratified them based on admission SI. The primary outcome was in-hospital mortality, and predictors of in-hospital mortality were analyzed using multivariable logistic regression. RESULTS: We included 9,939 unique cardiac intensive care unit patients with available data for SI. Patients were grouped by SI as follows: < 0.6, 3,973 (40%); 0.6-0.99, 4,810 (48%); and ≥ 1.0, 1,156 (12%). After multivariable adjustment, both heart rate (adjusted OR 1.06 per 10 beats per minute higher; CI 1.02-1.10; p-value 0.005) and systolic blood pressure (adjusted OR 0.94 per 10 mmHg higher; CI 0.90-0.97; p-value < 0.001) remained associated with higher in-hospital mortality. As SI increased there was an incremental increase in in-hospital mortality (adjusted OR 1.07 per 0.1 beats per minute/mmHg higher, CI 1.04-1.10, p-Value < 0.001). A higher SI was associated with increased mortality across all examined admission diagnoses. CONCLUSION: The SI is a simple and universally available bedside marker that can be used at the time of admission to predict in-hospital mortality in cardiac intensive care unit patients.


Subject(s)
Intensive Care Units , Humans , Hospital Mortality , Retrospective Studies , Blood Pressure , Heart Rate
17.
J Am Heart Assoc ; 13(6): e031979, 2024 Mar 19.
Article in English | MEDLINE | ID: mdl-38456417

ABSTRACT

Cardiogenic shock continues to carry a high mortality rate despite contemporary care, with no breakthrough therapies shown to improve survival over the past few decades. It is a time-sensitive condition that commonly results in cardiovascular complications and multisystem organ failure, necessitating multidisciplinary expertise. Managing patients with cardiogenic shock remains challenging even in well-resourced settings, and an important subgroup of patients may require cardiac replacement therapy. As a result, the idea of leveraging the collective cognitive and procedural proficiencies of multiple providers in a collaborative, team-based approach to care (the "shock team") has been advocated by professional societies and implemented at select high-volume clinical centers. A slowly maturing evidence base has suggested that cardiogenic shock teams may improve patient outcomes. Although several registries exist that are beginning to inform care, particularly around therapeutic strategies of pharmacologic and mechanical circulatory support, none of these are currently focused on the shock team approach, multispecialty partnership, education, or process improvement. We propose the creation of a Cardiogenic Shock Team Collaborative-akin to the successful Pulmonary Embolism Response Team Consortium-with a goal to promote sharing of care protocols, education of stakeholders, and discovery of how process and performance may influence patient outcomes, quality, resource consumption, and costs of care.


Subject(s)
Shock, Cardiogenic , Humans , Shock, Cardiogenic/diagnosis , Shock, Cardiogenic/therapy , Shock, Cardiogenic/etiology
18.
JACC Adv ; 3(3)2024 Mar.
Article in English | MEDLINE | ID: mdl-38352139

ABSTRACT

Background: Over the past decade there has been increasing interest in critical care medicine (CCM) training for cardiovascular medicine (CV) physicians either in isolation (separate programs in either order [CV/CCM], integrated critical care cardiology [CCC] training) or hybrid training with interventional cardiology (IC)/heart failure/transplant (HF) with targeted CCC training. Objective: To review the contemporary landscape of CV/CCM, CCC, and hybrid training. Methods: We reviewed the literature from 2000-2022 for publications discussing training in any combination of internal medicine CV/CCM, CCC, and hybrid training. Information regarding training paradigms, scope of practice and training, duration, sequence, and milestones was collected. Results: Of the 2,236 unique citations, 20 articles were included. A majority were opinion/editorial articles whereas two were surveys. The training pathways were classified into - (i) specialty training in both CV (3 years) and CCM (1-2 years) leading to dual American Board of Internal Medicine (ABIM) board certification, or (ii) base specialty training in CV with competencies in IC, HF or CCC leading to a non-ABIM certificate. Total fellowship duration varied between 4-7 years after a three-year internal medicine residency. While multiple articles commented on the ability to integrate the fellowship training pathways into a holistic and seamless training curriculum, few have highlighted how this may be achieved to meet competencies and standards. Conclusions: In 20 articles describing CV/CCM, CCC, and hybrid training, there remains significant heterogeneity on the standardized training paradigms to meet training competencies and board certifications, highlighting an unmet need to define CCC competencies.

19.
Am Heart J ; 271: 28-37, 2024 05.
Article in English | MEDLINE | ID: mdl-38369218

ABSTRACT

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.


Subject(s)
Coronary Care Units , Hospital Mortality , Length of Stay , Registries , Humans , Hospital Mortality/trends , Male , Female , Length of Stay/statistics & numerical data , Aged , Middle Aged , Coronary Care Units/statistics & numerical data , Risk Assessment/methods , Critical Care/statistics & numerical data , United States/epidemiology
20.
Am J Cardiol ; 215: 19-27, 2024 03 15.
Article in English | MEDLINE | ID: mdl-38266797

ABSTRACT

Limited data exist regarding outcomes after coronary angiography (CAG) and percutaneous coronary intervention (PCI) in patients aged ≥90 years admitted to the cardiac intensive care unit (CICU) with acute coronary syndrome (ACS). We studied sequential CICU patients ≥90 years admitted with ACS from 2007 to 2018. Three therapeutic approaches were defined: (1) No CAG; (2) CAG without PCI (CAG/No PCI); and (3) CAG with PCI (CAG/PCI). In-hospital mortality was evaluated using multivariable logistic regression. All-cause 1-year mortality was evaluated using Kaplan-Meier and multivariable Cox proportional hazards analysis. The study included 239 patients with a median age of 92 (range 90 to 100) years (57% females; 45% ST-elevation myocardial infarction; 8% cardiac arrest; 16% shock). The No CAG group had higher Day 1 Sequential Organ Failure Assessment scores, more co-morbidities, worse kidney function, and fewer ST-elevation myocardial infarctions. In-hospital mortality was 20.8% overall and did not differ between the No CAG (n = 103; 21.4%), CAG/No PCI (n = 47; 21.3%), and CAG/PCI (n = 90; 20.0%) groups, before or after adjustment. Overall 1-year mortality was 52.5% and did not differ between groups before or after adjustment. Median survival was 6.9 months overall and 41.2% of hospital survivors died within 1 year of CICU admission. CICU patients aged ≥90 years with ACS have a substantial burden of illness with high in-hospital and 1-year mortality that was not lower in those who underwent CAG or PCI. These results suggest that careful patient selection for invasive coronary procedures is essential in this vulnerable population.


Subject(s)
Acute Coronary Syndrome , Percutaneous Coronary Intervention , ST Elevation Myocardial Infarction , Female , Humans , Aged, 80 and over , Male , Acute Coronary Syndrome/surgery , Heart , Intensive Care Units , Coronary Angiography , ST Elevation Myocardial Infarction/surgery
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