Temperature Management for Comatose Adult Survivors of Cardiac Arrest: A Science Advisory From the American Heart Association.

Targeted temperature management has been a cornerstone of post-cardiac arrest care for patients remaining unresponsive after return of spontaneous circulation since the initial trials in 2002 found that mild therapeutic hypothermia improves neurological outcome. The suggested temperature range expanded in 2015 in response to a large trial finding that outcomes were not better with treatment at 33° C compared with 36° C. In 2021, another large trial was published in which outcomes with temperature control at 33° C were not better than those of patients treated with a strategy of strict normothermia. On the basis of these new data, the International Liaison Committee on Resuscitation and other organizations have altered their treatment recommendations for temperature management after cardiac arrest. The new American Heart Association guidelines on this topic will be introduced in a 2023 focused update. To provide guidance to clinicians while this focused update is forthcoming, the American Heart Association's Emergency Cardiovascular Care Committee convened a writing group to review the TTM2 trial (Hypothermia Versus Normothermia After Out-of-Hospital Cardiac Arrest) in the context of other recent evidence and to present an opinion on how this trial may influence clinical practice. This science advisory was informed by review of the TTM2 trial, consideration of other recent influential studies, and discussion between cardiac arrest experts in the fields of cardiology, critical care, emergency medicine, and neurology. Conclusions presented in this advisory statement do not replace current guidelines but are intended to provide an expert opinion on novel literature that will be incorporated into future guidelines and suggest the opportunity for reassessment of current clinical practice.

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.

Prognostic performance of the IABP-SHOCK II Risk Score among cardiogenic shock subtypes in the critical care cardiology trials network registry.

BACKGROUND: Risk stratification has potential to guide triage and decision-making in cardiogenic shock (CS). We assessed the prognostic performance of the IABP-SHOCK II score, derived in Europe for acute myocardial infarct-related CS (AMI-CS), in a contemporary North American cohort, including different CS phenotypes. METHODS: The critical care cardiology trials network (CCCTN) coordinated by the TIMI study group is a multicenter network of cardiac intensive care units (CICU). Participating centers annually contribute ≥2 months of consecutive medical CICU admissions. The IABP-SHOCK II risk score includes age > 73 years, prior stroke, admission glucose > 191 mg/dl, creatinine > 1.5 mg/dl, lactate > 5 mmol/l, and post-PCI TIMI flow grade < 3. We assessed the risk score across various CS etiologies. RESULTS: Of 17,852 medical CICU admissions 5,340 patients across 35 sites were admitted with CS. In patients with AMI-CS (n = 912), the IABP-SHOCK II score predicted a >3-fold gradient in in-hospital mortality (low risk = 26.5%, intermediate risk = 52.2%, high risk = 77.5%, P < .0001; c-statistic = 0.67; Hosmer-Lemeshow P = .79). The score showed a similar gradient of in-hospital mortality in patients with non-AMI-related CS (n = 2,517, P < .0001) and mixed shock (n = 923, P < .001), as well as in left ventricular (<0.0001), right ventricular (P = .0163) or biventricular (<0.0001) CS. The correlation between the IABP-SHOCK II score and SOFA was moderate (r2 = 0.17) and the IABP-SHOCK II score revealed a significant risk gradient within each SCAI stage. CONCLUSIONS: In an unselected international multicenter registry of patients admitted with CS, the IABP- SHOCK II score only moderately predicted in-hospital mortality in a broad population of CS regardless of etiology or irrespective of right, left, or bi-ventricular involvement.

Network meta-analysis of temporary mechanical circulatory support in acute myocardial infarction cardiogenic shock.

We performed a network meta-analysis of 11 published randomized clinical trials examining the use of temporary mechanical circulatory support (MCS) devices in adults with acute myocardial infarction cardiogenic shock, including 1,053 total patients with an observed in-hospital or 30-day mortality of 40.4%. None of the temporary MCS devices was associated with lower in-hospital or 30-day mortality compared with initial medical therapy or any other MCS device, either individually or in combination. These data do not support the routine use of temporary MCS devices for the purpose of reducing short-term mortality in unselected patients with acute myocardial infarction cardiogenic shock.

Advances in the Management of Cardiogenic Shock.

OBJECTIVES: To review a contemporary approach to the management of patients with cardiogenic shock (CS). DATA SOURCES: We reviewed salient medical literature regarding CS. STUDY SELECTION: We included professional society scientific statements and clinical studies examining outcomes in patients with CS, with a focus on randomized clinical trials. DATA EXTRACTION: We extracted salient study results and scientific statement recommendations regarding the management of CS. DATA SYNTHESIS: Professional society recommendations were integrated with evaluated studies. CONCLUSIONS: CS results in short-term mortality exceeding 30% despite standard therapy. While acute myocardial infarction (AMI) has been the focus of most CS research, heart failure-related CS now predominates at many centers. CS can present with a wide spectrum of shock severity, including patients who are normotensive despite ongoing hypoperfusion. The Society for Cardiovascular Angiography and Intervention Shock Classification categorizes patients with or at risk of CS according to shock severity, which predicts mortality. The CS population includes a heterogeneous mix of phenotypes defined by ventricular function, hemodynamic profile, biomarkers, and other clinical variables. Integrating the shock severity and CS phenotype with nonmodifiable risk factors for mortality can guide clinical decision-making and prognostication. Identifying and treating the cause of CS is crucial for success, including early culprit vessel revascularization for AMI. Vasopressors and inotropes titrated to restore arterial pressure and perfusion are the cornerstone of initial medical therapy for CS. Temporary mechanical circulatory support (MCS) is indicated for appropriately selected patients as a bridge to recovery, decision, durable MCS, or heart transplant. Randomized controlled trials have not demonstrated better survival with the routine use of temporary MCS in patients with CS. Accordingly, a multidisciplinary team-based approach should be used to tailor the type of hemodynamic support to each individual CS patient's needs based on shock severity, phenotype, and exit strategy.

Escalation strategies, management, and outcomes of acute myocardial infarction-cardiogenic shock patients receiving percutaneous left ventricular support.

BACKGROUND: There are limited national-level data on the contemporary practices of mechanical circulatory support (MCS) use in acute myocardial infarction-cardiogenic shock (AMI-CS). METHODS: We utilized the Healthcare Cost and Utilization Project-National/Nationwide Inpatient Sample data (2005-2017) to identify adult admissions (>18 years) with AMI-CS. MCS devices were classified as intra-aortic balloon pump (IABP), percutaneous left ventricular assist devices (pLVAD), or extracorporeal membrane oxygenation (ECMO). We evaluated trends in the initial device used (IABP alone, pLVAD alone or ≥2 MCS devices), device escalation, bridging to durable LVAD/heart transplantation, and predictors of in-hospital mortality and device escalation. RESULTS: Among 327,283 AMI-CS admissions, 131,435 (40.2%) had an MCS device placed with available information on timing of placement. IABP, pLVAD, and ≥2 MCS devices were used as initial device in 120,928 (92.0%), 8202 (6.2%), and 2305 (1.7%) admissions, respectively. Most admissions were maintained on the initial MCS device with 1%-1.5% being escalated (IABP to pLVAD/ECMO, pLVAD to ECMO). Urban, medium, and large-sized hospitals and acute multiorgan failure were significant independent predictors of MCS escalation. In admissions receiving MCS, escalation of MCS device was associated with higher in-hospital mortality (adjusted odds ratio: 1.56, 95% confidence interval:  1.38-1.75; p < 0.001). Admissions receiving durable LVAD/heart transplantation increased over time in those initiated on pLVAD and ≥2 MCS devices, resulting in lower in-hospital mortality. CONCLUSIONS: In this 13-year study, escalation of MCS in AMI-CS was associated with higher in-hospital mortality suggestive of higher acuity of illness. The increase in number of durable LVAD/heart transplantations alludes to the role of MCS as successful bridge strategies.

The changing face of cardiogenic shock: definitions, epidemiology, and severity assessment.

PURPOSE OF REVIEW: Cardiogenic shock (CS) has been recognized for >50 years, most commonly in the setting of myocardial infarction. This review covers recent advances in the definitions, epidemiology and severity assessment of cardiogenic shock. RECENT FINDINGS: In this review, the authors discuss the evolving definitions of cardiogenic shock, detailing the early approaches as well as more contemporary ideas. The epidemiology of CS is reviewed and then granular detail on the assessment of shock severity is provided including the role of lactate measurement and invasive hemodynamic assessment. The development of the Society for Cardiac Angiography and Intervention (SCAI) consensus statement on Classification of Cardiogenic Shock is reviewed by the principal authors. The revised SCAI Shock document is reviewed as well and the future directions for assessment of shock along with clinical applications are reviewed. SUMMARY: Cardiogenic shock mortality has not changed in a significant way in many years. Recent advances such as more granular assessment of shock severity have the potential to improve outcomes by allowing research to separate the patient groups which may respond differently to various therapies.

Cardiogenic shock: a major challenge for the clinical trialist.

PURPOSE OF REVIEW: Cardiogenic shock (CS) results in persistently high short-term mortality and a lack of evidence-based therapies. Several trials of novel interventions have failed to show an improvement in clinical outcomes despite promising preclinical and physiologic principles. In this review, we highlight the challenges of CS trials and provide suggestions for the optimization and harmonization of their design. RECENT FINDINGS: CS clinical trials have been plagued by slow or incomplete enrolment, heterogeneous or nonrepresentative patient cohorts, and neutral results. To achieve meaningful, practice-changing results in CS clinical trials, an accurate CS definition, a pragmatic staging of its severity for appropriate patient selection, an improvement in informed consent process, and the use of patient-centered outcomes are required. Future optimizations include the use of predictive enrichment using host response biomarkers to unravel the biological heterogeneity of the CS syndrome and identify subphenotypes most likely to benefit from individualized treatment to allow a personalized medicine approach. SUMMARY: Accurate characterization of CS severity and its pathophysiology are crucial to unravel heterogeneity and identify the patients most likely to benefit from a tested treatment. Implementation of biomarker-stratified adaptive clinical trial designs (i.e., biomarker or subphenotype-based therapy) might provide important insights into treatment effects.

Urine Output and Mortality in Patients Resuscitated from out of Hospital Cardiac Arrest.

BACKGROUND: Limited data exist regarding urine output (UO) as a prognostic marker in out-of-hospital-cardiac-arrest (OHCA) survivors undergoing targeted temperature management (TTM). METHODS: We included 247 comatose adult patients who underwent TTM after OHCA between 2007 and 2017, excluding patients with end-stage renal disease. Three groups were defined based on mean hourly UO during the first 24 h: Group 1 (<0.5 mL/kg/h, n = 73), Group 2 (0.5-1 mL/kg/h, n = 81) and Group 3 (>1 mL/kg/h, n = 93). Serum creatinine was used to classify acute kidney injury (AKI). The primary and secondary outcomes respectively were in-hospital mortality and favorable neurological outcome at hospital discharge (modified Rankin Scale [mRS]<3). RESULTS: In-hospital mortality decreased incrementally as UO increased (adjusted OR 0.9 per 0.1 mL/kg/h higher; p = 0.002). UO < 0.5 mL/kg/h was strongly associated with higher in-hospital mortality (adjusted OR 4.2 [1.6-10.8], p = 0.003) and less favorable neurological outcomes (adjusted OR 0.4 [0.2-0.8], p = 0.007). Even among patients without AKI, lower UO portended higher mortality (40% vs 15% vs 9% for UO groups 1, 2, and 3 respectively, p < 0.001). CONCLUSION: Higher UO is incrementally associated with lower in-hospital mortality and better neurological outcomes. Oliguria may be a more sensitive early prognostic marker than creatinine-based AKI after OHCA.

Echocardiographic Characteristics of Cardiogenic Shock Patients with and Without Cardiac Arrest.

BACKGROUND: Cardiac arrest (CA) is associated with worse outcomes in patients with cardiogenic shock (CS). To better understand the contribution of CA on CS, we evaluated transthoracic echocardiography (TTE) parameters in CS patients with and without CA. METHODS: We retrospectively identified CS patients with a TTE performed near cardiac intensive care unit admission between 2007 to 2018. We compared TTE measurements of left ventricular (LV) and right ventricular (RV) function in patients with and without CA. The primary outcome was all-cause in-hospital mortality, as determined using multivariable logistic regression. RESULTS: We included 1085 patients, 35% of whom had CA. Median age was 70 years and 37% were females. CA patients had higher severity of illness, more invasive mechanical ventilation and greater vasopressor/inotrope use. In-hospital mortality was 31% and was higher in CA patients (45% vs. 23%, p <0.001). Although LV ejection fraction (LVEF) was similar (35% vs. 37%, p = 0.05), CA patients had lower cardiac index, mitral valve E wave peak velocity, E/A ratio and E/e' ratio. TTE variables that were associated with hospital mortality varied, among patients with CA, these included measures of RV pressure and function and among patients without CA, these included parameters reflecting LV systolic function. CONCLUSIONS: Doppler assessments of RV systolic dysfunction were the strongest TTE predictors of hospital mortality in CS patients with CA, unlike CS patients without CA in whom LV systolic function was more important. This emphasizes the importance of RV assessment for mortality risk stratification after CA.

Characteristics and Outcomes of Critically Ill Patients With Pulmonary Hypertension Who Undergo Endotracheal Intubation and Mechanical Ventilation.

Background: Patients with pulmonary hypertension (PH) who undergo endotracheal intubation have an increased risk of adverse outcomes, but little is known regarding prognostic factors and there is limited evidence to guide management. We sought to define characteristics, prognostic factors, and outcomes of critically ill patients with PH who underwent intubation. Study Design: We performed a single-center retrospective cohort study of critically ill patients with group 1, 3 or 4 PH who underwent intubation. Results: Eighty-one patients were included. Patients had a median age of 56 years (interquartile range 44-65) and were predominantly female (n = 53, 65%) and Caucasian (n = 71, 88%). Forty-five (56%) had group 1 PH while 25 (31%) had group 3 PH and 11 (14%) had group 4 PH. Patients were admitted to the hospital for right ventricular failure (n = 21, 25.6%), sepsis (n = 18, 22.2%), and respiratory failure (n = 19, 23.1%). Hypoxemic respiratory failure (n = 54, 66.7%) was the most common indication for intubation. In-hospital mortality was 30.9% and 1-year mortality was 48.2%. All patients (11 of 11, 100%) intubated electively for intensive care unit procedures survived to hospital discharge while only 1 of 6 (16.7%) intubated in the setting of a cardiac arrest survived. After adjusting for right ventricular systolic pressure, pre-intubation PaO2 (odds ratio [OR] = 0.99, 95% confidence interval [CI] 0.97-1.00, P = .02) and postintubation PaO2 (OR = 0.97 per 1mm Hg, 95% CI 0.95 to 0.99, P = .003), pH (OR = 0.49 per 0.1 increase, 95% CI 0.29 to 0.80, P = .005) and PaCO2 (OR = 1.08 per 1mm Hg, 95% CI 1.02 to 1.14, P = .005) were significantly associated with in-hospital mortality. Results were similar when we excluded patients intubated electively or in the setting of cardiac arrest. Conclusions: Intubation in critically ill patients with PH is associated with significant in-hospital mortality and nearly 50% 1-year mortality. Potentially modifiable factors, such as peri-intubation gas exchange, are associated with an increased risk of death while other demographic and hemodynamic variables are not.

Mayo Clinic VT calculator: A practical tool for accurate wide complex tachycardia differentiation.

The discrimination of ventricular tachycardia (VT) versus supraventricular wide complex tachycardia (SWCT) via 12-lead electrocardiogram (ECG) is crucial for achieving appropriate, high-quality, and cost-effective care in patients presenting with wide QRS complex tachycardia (WCT). Decades of rigorous research have brought forth an expanding arsenal of applicable manual algorithm methods for differentiating WCTs. However, these algorithms are limited by their heavy reliance on the ECG interpreter for their proper execution. Herein, we introduce the Mayo Clinic ventricular tachycardia calculator (MC-VTcalc) as a novel generalizable, accurate, and easy-to-use means to estimate VT probability independent of ECG interpreter competency. The MC-VTcalc, through the use of web-based and mobile device platforms, only requires the entry of computerized measurements (i.e., QRS duration, QRS axis, and T-wave axis) that are routinely displayed on standard 12-lead ECG recordings.

Indications for Cardiac Catheterization and Percutaneous Coronary Intervention in Patients with Resuscitated Out-of-Hospital Cardiac Arrest.

PURPOSE OF REVIEW: The role of emergent cardiac catheterization after resuscitated out-of-hospital cardiac arrest (OHCA) has evolved based on recent randomized evidence. This review aims to discuss the latest evidence and current indications for emergent coronary angiography (CAG) and mechanical circulatory support (MCS) use following OHCA. RECENT FINDINGS: In contrast to previous observational data, recent RCTs evaluating early CAG in resuscitated OHCA patients without ST elevation have uniformly demonstrated a lack of benefit in terms of survival or neurological outcome. There is currently no randomized evidence supporting MCS use specifically in patients with resuscitated OHCA and cardiogenic shock. Urgent CAG should be considered in all patients with ST elevation, recurrent electrical or hemodynamic instability, those who are awake following resuscitated OHCA, and those receiving extracorporeal cardiopulmonary resuscitation (ECPR). Recent evidence suggests that CAG may be safely delayed in hemodynamically stable patients without ST-segment elevation following resuscitated OHCA.

Noninvasive echocardiographic cardiac power output predicts mortality in cardiac intensive care unit patients.

BACKGROUND: Low cardiac power output (CPO), measured invasively, can identify critically ill patients at increased risk of adverse outcomes, including mortality. We sought to determine whether non-invasive, echocardiographic CPO measurement was associated with mortality in cardiac intensive care unit (CICU) patients. METHODS: Patients admitted to CICU between 2007 and 2018 with echocardiography performed within one day (before or after) admission and who had available data necessary for calculation of CPO were evaluated. Multivariable logistic regression determined the relationship between CPO and adjusted hospital mortality. RESULTS: A total of 5,585 patients (age of 68.3 ± 14.8 years, 36.7% female) were evaluated with admission diagnoses including acute coronary syndrome (ACS) in 56.7%, heart failure (HF) in 50.1%, cardiac arrest (CA) in 12.2%, shock in 15.5%, and cardiogenic shock (CS) in 12.8%. The mean left ventricular ejection fraction (LVEF) was 47.3 ± 16.2%, and the mean CPO was 1.04 ± 0.37 W. There were 419 in-hospital deaths (7.5%). CPO was inversely associated with the risk of hospital mortality, an association that was consistent among patients with ACS, HF, and CS. On multivariable analysis, higher CPO was associated with reduced hospital mortality (OR 0.960 per 0.1 W, 95CI 0.0.926-0.996, P = .03). Hospital mortality was particularly high in patients with low CPO coupled with reduced LVEF, increased vasopressor requirements, or higher admission lactate. CONCLUSIONS: Echocardiographic CPO was inversely associated with hospital mortality in unselected CICU patients, particularly among patients with increased lactate and vasopressor requirements. Routine calculation and reporting of CPO should be considered for echocardiograms performed in CICU patients.

Outcomes and Predictors of Mortality Among Cardiac Intensive Care Unit Patients With Heart Failure.

BACKGROUND: Little is known regarding the causes of critical illness and determinants of prognosis of patients with heart failure (HF) admitted to the modern cardiac intensive care unit (CICU). We sought to describe the epidemiology and outcomes of patients with HF admitted to the contemporary CICU. METHODS AND RESULTS: Retrospective cohort analysis of Mayo Clinic CICU patients admitted with HF from 2007 to 2018 who had left ventricular ejection fraction (LVEF) data. HF with reduced LVEF (HFrEF) was defined as a LVEF of less than 50%, and HF with preserved LVEF (HFpEF) as a LVEF of 50% or greater. In-hospital mortality was analyzed using multivariable logistic regression. Survival to 1 year was analyzed using a Kaplan-Meier analysis. We included 4012 patients, including 67.8% with HFrEF and 32.2% with HFpEF. Patients with HFrEF and HFpEF were comparable and had equivalent severity of illness. Critical care therapies were used in 59.4%, with a slight preponderance in patients with HFrEF. In-hospital mortality occurred in 12.5% of patients and was similar in HFrEF vs HFpEF. Shock and cardiac arrest were the strongest predictors of adjusted in-hospital mortality, followed by Braden skin score and serum chloride level; patients with HFrEF and HFpEF had similar adjusted mortality rates. The 1-year survival after hospital discharge was 74.5% and was slightly lower for patients with HFpEF. All-cause rehospitalization occurred in 36.6%, and 52.8% of hospital survivors died or were readmitted within 1 year. CONCLUSIONS: CICU patients with HF have a substantial burden of critical illness, high use of critical care therapies, and poor outcomes regardless of LVEF. This finding emphasizes the potential unmet care needs in this cohort. LAY SUMMARY: Patients with heart failure who require admission to the cardiac intensive care unit have high severity of illness and are at significant risk of death during and after hospitalization. These patients often require specialized critical care therapies to treat manifestations of critical illness. Patients who are admitted with cardiac arrest or shock, including those who require mechanical ventilation or vasopressors, are at particularly high risk of death. Patients' left ventricular ejection fraction is not strongly associated with the risk of death when accounting for other major predictors including frailty and laboratory abnormalities.

Validation of cardiogenic shock phenotypes in a mixed cardiac intensive care unit population.

BACKGROUND: Proposed phenotypes have recently been identified in cardiogenic shock (CS) populations using unsupervised machine learning clustering methods. We sought to validate these phenotypes in a mixed cardiac intensive care unit (CICU) population of patients with CS. METHODS: We included Mayo Clinic CICU patients admitted from 2007 to 2018 with CS. Agnostic K means clustering was used to assign patients to three clusters based on admission values of estimated glomerular filtration rate, bicarbonate, alanine aminotransferase, lactate, platelets, and white blood cell count. In-hospital mortality and 1-year mortality were analyzed using logistic regression and Cox proportional-hazards models, respectively. RESULTS: We included 1498 CS patients with a mean age of 67.8 ± 13.9 years, and 37.1% were females. The acute coronary syndrome was present in 57.3%, and cardiac arrest was present in 34.0%. Patients were assigned to clusters as follows: Cluster 1 (noncongested), 603 (40.2%); Cluster 2 (cardiorenal), 452 (30.2%); and Cluster 3 (hemometabolic), 443 (29.6%). Clinical, laboratory, and echocardiographic characteristics differed across clusters, with the greatest illness severity in Cluster 3. Cluster assignment was associated with in-hospital mortality across subgroups. In-hospital mortality was higher in Cluster 3 (adjusted odds ratio [OR]: 2.6 vs. Cluster 1 and adjusted OR: 2.0 vs. Cluster 2, both p < 0.001). Adjusted 1-year mortality was incrementally higher in Cluster 3 versus Cluster 2 versus Cluster 1 (all p < 0.01). CONCLUSIONS: We observed similar phenotypes in CICU patients with CS as previously reported, identifying a gradient in both in-hospital and 1-year mortality by cluster. Identifying these clinical phenotypes can improve mortality risk stratification for CS patients beyond standard measures.

Influence of intra-aortic balloon pump on mortality as a function of cardiogenic shock severity.

BACKGROUND: Randomized studies of intra-aortic balloon pump (IABP) in cardiogenic shock (CS) have only included on patients with acute coronary syndromes (ACS) without stratification according to shock severity. We examined the association between IABP and mortality in CS patients across the Society for Cardiovascular Angiography and Intervention (SCAI) shock stages. METHODS: We included cardiac intensive care unit patients admitted from 2007 to 2015 with CS from any etiology. In-hospital mortality associated with IABP was examined in each SCAI shock stage. Multivariable logistic regression was performed using inverse probability of treatment weighting (IPTW) to determine the association between IABP and in-hospital mortality. RESULTS: We included 934 patients, with a mean age of 68 ± 14 years; 60% had ACS. The distribution of SCAI shock stages was: B, 41%; C, 13%; D, 38%; E, 8%. In-hospital mortality was lower in the 39% of patients who received IABP (27% vs. 43%, adjusted OR with IABP after IPTW 0.53, 95% CI 0.40-0.72, p < .0001). IABP use was associated with lower crude in-hospital mortality in each SCAI shock stage (all p < .05, except p = .08 in SCAI shock stage E). We did not observe any significant heterogeneity in the association between IABP use and in-hospital mortality as a function of SCAI shock stage. CONCLUSIONS: Patients with CS who were selected to receive an IABP had lower in-hospital mortality, without differences in this effect across the SCAI shock stages. Future studies should account for the severity and etiology of shock when evaluating the efficacy of IABP for CS.

Early, biomarker-guided steroid dosing in COVID-19 Pneumonia: a pilot randomized controlled trial.

ClinicalTrials.gov identifier (NCT number): NCT03852537 , Registered February 25, 2019.

Associations of Vasopressor Requirements With Echocardiographic Parameters After Out-of-Hospital Cardiac Arrest.

BACKGROUND: Post-arrest hypotension is common after out of hospital cardiac arrest (OHCA) and many patients resuscitated after OHCA will require vasopressors. We sought to determine the associations between echocardiographic parameters and vasopressor requirements in OHCA patients. METHODS: We retrospectively analyzed adult patients with OHCA treated with targeted temperature management between December 2005 and September 2016 who underwent a transthoracic echocardiogram (TTE). Categorical variables were compared using 2-tailed Fisher's exact and Pearson's correlation coefficients and variance (r2) values were used to assess relationships between continuous variables. RESULTS: Among 217 included patients, the mean age was 62 ± 12 years, including 74% males. The arrest was witnessed in 90%, the initial rhythm was shockable in 88%, and 58% received bystander CPR. At the time of TTE, 41% of patients were receiving vasopressors; this group of patients was older, had greater severity of illness, higher inpatient mortality and left ventricular ejection fraction (LVEF) was modestly lower (36.8 ± 17.1% vs. 41.4 ± 16.4%, P = 0.04). Stroke volume, cardiac power output and left ventricular stroke work index correlated with number of vasopressors (Pearson r -0.24 to -0.34, all P < 0.002), but the correlation with LVEF was weak (Pearson r -0.13, P = 0.06). CONCLUSIONS: In patients after OHCA, left ventricular systolic dysfunction was associated with the need for vasopressors, and Doppler TTE hemodynamic parameters had higher correlation coefficients compared with vasopressor requirements than LVEF. This emphasizes the complex nature of shock after OHCA, including pathophysiologic processes not captured by TTE assessment alone.

Trends in Therapy and Outcomes Associated With Respiratory Failure in Patients Admitted to the Cardiac Intensive Care Unit.

PURPOSE: To describe the epidemiology, outcomes, and temporal trends of respiratory failure in the cardiac intensive care unit (CICU). MATERIALS AND METHODS: Retrospective cohort analysis of 2,986 unique Mayo Clinic CICU patients from 2007 to 2018 with respiratory failure. Temporal trends were analyzed, along with hospital and 1-year mortality. Multivariable logistic regression was used to determine adjusted hospital mortality trends. RESULTS: The prevalence of respiratory failure in the CICU increased from 15% to 38% during the study period (P < 0.001 for trend). Among patients with respiratory failure, the utilization of invasive ventilation decreased and noninvasive ventilation modalities increased over time. Hospital mortality and 1-year mortality were 24% and 54%, respectively, with variation according to the type of respiratory support (highest among patients receiving invasive ventilation alone: 35% and 46%, respectively). Hospital mortality was highest among patients with concomitant cardiac arrest and/or shock (52% for patients with both). Hospital mortality decreased in the overall population from 35% to 25% (P < 0.001 for trend), but was unchanged among patients receiving positive-pressure ventilation. CONCLUSIONS: The prevalence of respiratory failure in CICU more than doubled during the last decade. The use of noninvasive respiratory support increased, while overall mortality declined over time. Cardiac arrest and shock accounted for the majority of deaths. Further research is needed to optimize the outcomes of high-risk CICU patients with respiratory failure.