Hospital mortality and thirty day readmission among patients with non-acute myocardial infarction related cardiogenic shock

Percutaneous Microaxial Ventricular Assist Device Versus Intra-Aortic Balloon Pump for Nonacute Myocardial Infarction Cardiogenic Shock

BACKGROUND

Evidence on the comparative outcomes following percutaneous microaxial ventricular assist devices (pVAD) versus intra-aortic balloon pump for nonacute myocardial infarction cardiogenic shock is limited.

METHODS AND RESULTS

We included 704 and 2140 Medicare fee-for-service beneficiaries aged 65 to 99 years treated with pVAD and intra-aortic balloon pump, respectively, for nonacute myocardial infarction cardiogenic shock from 2016 to 2020. Patients treated using pVAD compared with those treated using intra-aortic balloon pump were more likely to be concurrently treated with mechanical ventilation, renal replacement therapy, and blood transfusions. We computed propensity scores for undergoing pVAD using patient- and hospital-level factors and performed a matching weight analysis. The use of pVAD was associated with higher 30-day mortality (adjusted odds ratio, 1.92 [95% CI, 1.59-2.33]) but not associated with in-hospital bleeding (adjusted odds ratio, 1.00 [95% CI, 0.81-1.24]), stroke (adjusted odds ratio, 0.91 [95% CI, 0.56-1.47]), sepsis (OR, 0.91 [95% CI, 0.64-1.28]), and length of hospital stay (adjusted mean difference, +0.4 days [95% CI, -1.4 to +2.3]). A quasi-experimental instrumental variable analysis using the cross-sectional institutional practice preferences showed similar patterns, though not statistically significant (adjusted odds ratio, 1.38; 95% CI, 0.28-6.89).

CONCLUSIONS

Our investigation using the national sample of Medicare beneficiaries showed that the use of pVAD compared with intra-aortic balloon pump was associated with higher mortality in patients with nonacute myocardial infarction cardiogenic shock. Providers should be cautious about the use of pVAD for nonacute myocardial infarction cardiogenic shock, while adequately powered high-quality randomized controlled trials are warranted to determine the clinical effects of pVAD.

Contemporary approach to cardiogenic shock care: a state-of-the-art review

Cardiogenic shock (CS) is a time-sensitive and hemodynamically complex syndrome with a broad spectrum of etiologies and clinical presentations. Despite contemporary therapies, CS continues to maintain high morbidity and mortality ranging from 35 to 50%. More recently, burgeoning observational research in this field aimed at enhancing the early recognition and characterization of the shock state through standardized team-based protocols, comprehensive hemodynamic profiling, and tailored and selective utilization of temporary mechanical circulatory support devices has been associated with improved outcomes. In this narrative review, we discuss the pathophysiology of CS, novel phenotypes, evolving definitions and staging systems, currently available pharmacologic and device-based therapies, standardized, team-based management protocols, and regionalized systems-of-care aimed at improving shock outcomes. We also explore opportunities for fertile investigation through randomized and non-randomized studies to address the prevailing knowledge gaps that will be critical to improving long-term outcomes.

Standardized Definitions for Cardiogenic Shock Research and Mechanical Circulatory Support Devices: Scientific Expert Panel From the Shock Academic Research Consortium (SHARC)

The Shock Academic Research Consortium is a multi-stakeholder group, including representatives from the US Food and Drug Administration and other government agencies, industry, and payers, convened to develop pragmatic consensus definitions useful for the evaluation of clinical trials enrolling patients with cardiogenic shock, including trials evaluating mechanical circulatory support devices. Several in-person and virtual meetings were convened between 2020 and 2022 to discuss the need for developing the standardized definitions required for evaluation of mechanical circulatory support devices in clinical trials for cardiogenic shock patients. The expert panel identified key concepts and topics by performing literature reviews, including previous clinical trials, while recognizing current challenges and the need to advance evidence-based practice and statistical analysis to support future clinical trials. For each category, a lead (primary) author was assigned to perform a literature search and draft a proposed definition, which was presented to the subgroup. These definitions were further modified after feedback from the expert panel meetings until a consensus was reached. This manuscript summarizes the expert panel recommendations focused on outcome definitions, including efficacy and safety.

Does sex affect the risk of 30-day all-cause mortality in cardiogenic shock?

BACKGROUND

Mortality rates following CS have stagnated on an unacceptably high level. Limited data regarding the prognostic value of sex in patients suffering from CS is available. Therefore, this study aims to investigate the prognostic value of sex in patients with cardiogenic shock (CS).

METHODS

Consecutive patients with CS of any cause were included from 2019 to 2021. Prognosis of females was compared to males regarding 30-day all-cause mortality. Further risk stratification was performed according to the presence or absence of CS related to acute myocardial infarction (AMI). Kaplan-Meier and multivariable Cox proportional regression analyses were used for statistics.

RESULTS

From a total of 273 CS patients (AMI-CS: 49%; non-AMI-CS: 51%), 60% were males and 40% females. The risk of 30-day all-cause mortality did not differ among males and females (56% vs. 56%; log rank p = 0.775; HR = 1.046; 95% CI 0.756-1.447; p = 0.785). Even after multivariable adjustment, sex was not associated with prognosis in CS patients (HR = 1.057; 95% CI 0.713-1.564; p = 0.784). Comparable risks of short-term mortality in both sexes were observed irrespective of the presence of AMI-related CS (64.0% vs. 64.6%; log rank p = 0.642; HR = 1.103; 95% CI 0.710-1.713; p = 0.664) and non-AMI-related CS (46.2% vs. 49.2%; log rank p = 0.696; HR = 1.099; 95% CI 0.677-1.783; p = 0.704).

CONCLUSION

Sex was not associated with the risk of 30-day all-cause mortality in CS patients irrespective of CS etiology. (clinicaltrials.gov identifier: NCT05575856).

Characteristics and Outcomes of Early vs Late Initiation of Mechanical Circulatory Support in Non-Acute Myocardial Infarction related Cardiogenic Shock: An Analysis of the National Inpatient Sample Database

Cardiogenic shock (CS) is significant cause of mortality. The use of mechanical circulatory support (MCS) in patients with non-acute myocardial infarction (Non-AMI) CS is lacking. We inquired data regarding the trends and outcomes early vs late initiation of MCS in non-AMI CS. We investigated National Inpatient Sample database between October 2015-December 2018, identifying hospitalizations with CS, either complicated by AMI or Non-AMI. Patients were divided into 2 cohorts, early initiation of MCS (<48 hours) and late initiation of MCS (>48 hours). The primary analysis included death within first 24 hours. A secondary analysis was adjusted after excluding patients who died in first 24 hours. A total of 85,318 patients with non-AMI-related CS with MCS placement were identified. Among this cohort, 54.6% (n=46,579) underwent early initiation of MCS within 48 hours, and 45.4% (n=38,739) underwent late initiation of MCS after 48 hours. In primary analysis, early MCS initiation was associated with more in-hospital mortality in primary outcome of all-cause hospital mortality (35.72% vs 27.63%, P<0.0001, OR 1.44, 95% CI: 1.40-1.49, P<0.0001), however, adjusted secondary analysis showed a statistically significant decrease in all-cause hospital mortality (23.63% vs 27.63%, P<0.0001, OR 0.80, 95% CI: 0.78-0.83, P<0.0001). In non-AMI-related CS and based on survival to 24 hours after admission, early initiation of MCS had statistically significant decrease in all-cause hospital mortality, with less incidence of vascular and renal complications, and shorter hospital stay. Late initiation of MCS was associated with a higher incidence of advanced therapies, including LVAD and transplant.

Establishing a Cardiac ICU Recovery Clinic: Characterizing a Model for Continuity of Cardiac Critical Care

BACKGROUND

Care in the cardiovascular intensive care unit (CICU) has become increasingly intricate due to a temporal rise in noncardiac diagnoses and overall clinical complexity with high risk for short-term rehospitalization and mortality. Survivors of critical illness are often faced with debility and limitations extending beyond the index hospitalization. Comprehensive ICU recovery programs have demonstrated some efficacy but have primarily targeted survivors of acute respiratory distress syndrome or sepsis. The efficacy of dedicated ICU recovery programs on the CICU population is not defined.

METHODS

We aim to describe the design and initial experience of a novel CICU-recovery clinic (CICURC). The primary outcome was death or rehospitalization in the first 30 days following hospital discharge. Self-reported outcome measures were performed to assess symptom burden and independence in activities of daily living.

RESULTS

Using standardized criteria, 41 patients were referred to CICURC of which 78.1% established care and were followed for a median of 88 (56-122) days. On intake, patients reported a high burden of heart failure symptoms (KCCQ overall summary score 29.8 [18.0-47.5]), and nearly half (46.4%) were dependent on caretakers for activities of daily living. Thirty days postdischarge, no deaths were observed and the rate of rehospitalization for any cause was 12.2%.

CONCLUSIONS

CICU survivors are faced with significant residual symptom burden, dependence upon caretakers, and impairments in mental health. Dedicated CICURCs may help prioritize treatment of ICU related illness, reduce symptom burden, and improve outcomes. Interventions delivered in ICU recovery clinic for patients surviving the CICU warrant further investigation.

The impact of comorbid severe mental illness and common chronic physical health conditions on hospitalisation: A systematic review and meta-analysis

Background

People with severe mental illness (SMI) are at higher risk of physical health conditions compared to the general population, however, the impact of specific underlying health conditions on the use of secondary care by people with SMI is unknown. We investigated hospital use in people managed in the community with SMI and five common physical long-term conditions: cardiovascular diseases, COPD, cancers, diabetes and liver disease.

Methods

We performed a systematic review and meta-analysis (Prospero: CRD42020176251) using terms for SMI, physical health conditions and hospitalisation. We included observational studies in adults under the age of 75 with a diagnosis of SMI who were managed in the community and had one of the physical conditions of interest. The primary outcomes were hospital use for all causes, physical health causes and related to the physical condition under study. We performed random-effects meta-analyses, stratified by physical condition.

Results

We identified 5,129 studies, of which 50 were included: focusing on diabetes (n = 21), cardiovascular disease (n = 19), COPD (n = 4), cancer (n = 3), liver disease (n = 1), and multiple physical health conditions (n = 2). The pooled odds ratio (pOR) of any hospital use in patients with diabetes and SMI was 1.28 (95%CI:1.15–1.44) compared to patients with diabetes alone and pooled hazard ratio was 1.19 (95%CI:1.08–1.31). The risk of 30-day readmissions was raised in patients with SMI and diabetes (pOR: 1.18, 95%CI:1.08–1.29), SMI and cardiovascular disease (pOR: 1.27, 95%CI:1.06–1.53) and SMI and COPD (pOR:1.18, 95%CI: 1.14–1.22) compared to patients with those conditions but no SMI.

Conclusion

People with SMI and five physical conditions are at higher risk of hospitalisation compared to people with that physical condition alone. Further research is warranted into the combined effects of SMI and physical conditions on longer-term hospital use to better target interventions aimed at reducing inappropriate hospital use and improving disease management and outcomes.

Early Prediction of Cardiogenic Shock Using Machine Learning

Cardiogenic shock (CS) is a severe condition with in-hospital mortality of up to 50%. Patients who develop CS may have previous cardiac history, but that may not always be the case, adding to the challenges in optimally identifying and managing these patients. Patients may present to a medical facility with CS or develop CS while in the emergency department (ED), in a general inpatient ward (WARD) or in the critical care unit (CC). While different clinical pathways for management exist once CS is recognized, there are challenges in identifying the patients in a timely manner, in all settings, in a timeframe that will allow proper management. We therefore developed and evaluated retrospectively a machine learning model based on the XGBoost (XGB) algorithm which runs automatically on patient data from the electronic health record (EHR). The algorithm was trained on 8 years of de-identified data (from 2010 to 2017) collected from a large regional healthcare system. The input variables include demographics, vital signs, laboratory values, some orders, and specific pre-existing diagnoses. The model was designed to make predictions 2 h prior to the need of first CS intervention (inotrope, vasopressor, or mechanical circulatory support). The algorithm achieves an overall area under curve (AUC) of 0.87 (0.81 in CC, 0.84 in ED, 0.97 in WARD), which is considered useful for clinical use. The algorithm can be refined based on specific elements defining patient subpopulations, for example presence of acute myocardial infarction (AMI) or congestive heart failure (CHF), further increasing its precision when a patient has these conditions. The top-contributing risk factors learned by the model are consistent with existing clinical findings. Our conclusion is that a useful machine learning model can be used to predict the development of CS. This manuscript describes the main steps of the development process and our results.

Echocardiographic imaging of temporary percutaneous mechanical circulatory support devices

Cardiogenic shock is a state of end-organ hypoperfusion due to primary cardiac dysfunction and portends a poor prognosis. Shock refractory to inotropic and vasopressor support is often an indication for mechanical circulatory support. When mechanical support device complications or malfunction arise, echocardiography offers rapid assessment of device position and function. Repositioning can be done under echocardiographic guidance. Despite the widespread use of percutaneous mechanical circulatory support, there is a dearth of information regarding echocardiography as it pertains to these devices. In this review, we discuss the utility of echocardiography with percutaneous mechanical circulatory support devices.

Thirty-day readmissions among patients with cardiogenic shock who underwent extracorporeal membrane oxygenation support in the United States: Insights from the nationwide readmissions database

Background

There is a paucity of data on readmission rates and predictors of readmissions in cardiogenic shock patients after contemporary Extracorporeal Membrane Oxygenation (ECMO) use.

Methods

Using the Nationwide Readmission Database, we included adult patients (≥18 years old) hospitalized between January to November 2016-2018 for cardiogenic shock requiring ECMO support. Thirty-day readmission rates, associated variables, and predictors of readmission were assessed.

Results

A total of 10,723 patients underwent ECMO for cardiogenic shock. After excluding patients who died (n = 5602; 52%) and who underwent LVAD or OHT during index admission (n = 892; 8%), 4229 patients discharged alive were included. Of those, 694 (16.4%) were readmitted within 30 days. The median time to readmission was 10 days. Diabetes mellitus (OR = 1.77; 95% CI 1.32-2.37), chronic liver disease (OR = 1.35; 95% CI 1.03-1.77), and prolonged LOS (≥30 days; OR = 1.38; 95% CI 1.05-1.81) were associated with increased risk of 30-day readmissions while heart failure diagnosis (OR = 0.69; 95% CI 0.50-0.95) and short-term hospital post-discharge care (OR = 0.53; 95% CI 0.28-0.99) conferred a lower risk. Sepsis, followed by congestive heart failure, was the most common readmission diagnoses.

Conclusions

Patients with CS requiring ECMO support have high mortality and high 30-day readmission rates, with sepsis being the leading cause of readmissions followed by heart failure.

Potential biomarkers of acute myocardial infarction based on co‑expression network analysis

Acute myocardial infarction (AMI) is a common cause of death in numerous countries. Understanding the molecular mechanisms of the disease and analyzing potential biomarkers of AMI is crucial. However, specific diagnostic biomarkers have thus far not been fully established and candidate regulatory targets for AMI remain to be determined. In the present study, the AMI gene chip dataset GSE48060 comprising blood samples from control subjects with normal cardiac function (n=21) and patients with AMI (n=26) was downloaded from Gene Expression Omnibus. The differentially expressed genes (DEGs) between the AMI and control groups were identified with the online tool GEO2R. The co-expression network of DEGs was analyzed by calculating the Pearson correlation coefficient of all gene pairs, mutual rank screening and cutoff threshold screening. Subsequently, the Gene Ontology (GO) database was used to analyze the genes' functions and pathway enrichment of genes in the most important modules was performed. Kyoto Encyclopedia of Genes and Genomes (KEGG) Disease and BioCyc were used to analyze the hub genes in the module to determine important sub-pathways. In addition, the expression of hub genes was confirmed by reverse transcription-quantitative PCR in AMI and control specimens. In the present study, 52 DEGs, including 26 upregulated and 26 downregulated genes, were identified. As key hub genes, three upregulated genes (AKR1C3, RPS24 and P2RY12) and three downregulated genes (ACSL1, B3GNT5 and MGAM) were identified from the co-expression network. Furthermore, GO enrichment analysis of all AMI co-expression network genes revealed functional enrichment mainly in ‘RAGE receptor binding’ and ‘negative regulation of T cell cytokine production’. In addition, KEGG Disease and BioCyc analysis indicated functional enrichment of the genes RPS24 and P2RY12 in ‘cardiovascular diseases’, of AKR1C3 in ‘cardenolide biosynthesis’, of MGAM in ‘glycogenolysis’, of B3GNT5 in ‘glycosphingolipid biosynthesis’ and of ACSL1 in ‘icosapentaenoate biosynthesis II’. In conclusion, the hub genes AKR1C3, RPS24, P2RY12, ACSL1, B3GNT5 and MGAM are potential markers of AMI, and have potential application value in the diagnosis of AMI.

Contemporary Management of Cardiogenic Shock: A RAND Appropriateness Panel Approach

BACKGROUND

Current practice in cardiogenic shock is guided by expert opinion in guidelines and scientific statements from professional societies with limited high quality randomized trial data to inform optimal patient management. An international panel conducted a modified Delphi process with the intent of identifying aspects of cardiogenic shock care where there was uncertainty regarding optimal patient management.

METHODS

An 18-person multidisciplinary panel comprising international experts was convened. A modified RAND/University of California Los Angeles appropriateness methodology was used. A survey comprising 70 statements was completed. Participants anonymously rated the appropriateness of each statement on a scale of 1 to 9: 1 to 3 inappropriate, 4 to 6 uncertain, and 7 to 9 appropriate. A summary of the results was discussed as a group, and the survey was iterated and completed again before final analysis.

RESULTS

There was broad alignment with current international guidelines and consensus statements. Overall, 44 statements were rated as appropriate, 19 as uncertain, and 7 as inappropriate. There was no disagreement with a disagreement index <1 for all statements. Routine fluid administration was deemed to be inappropriate. Areas of uncertainty focused panel on pre-PCI interventions, the use of right heart catheterization to guide management, routine use of left ventricular unloading strategies, and markers of futility when considering escalation to mechanical circulatory support.

CONCLUSIONS

While there was broad alignment with current guidance, an expert panel found several aspects of care where there was clinical equipoise, further highlighting the need for randomized controlled trials to better guide patient management and decision making in cardiogenic shock.

National Trends in Heart Failure Hospitalizations and Readmissions From 2010 to 2017

Importance

Previous studies have described the secular trends of overall heart failure (HF) hospitalizations, but the literature describing the national trends of unique index hospitalizations and readmission visits for the primary management of HF is lacking.

Objectives

To examine contemporary overall and sex-specific trends of unique primary HF (grouped by number of visits for the same patient in a given year) and 30-day readmission visits in a large national US administrative database from 2010 to 2017.

Design, Setting, and Participants

This cohort study used data from all adult hospitalizations in the Nationwide Readmission Database from January 1, 2010, to December 31, 2017, with a primary diagnosis of HF. Data analyses were conducted from March to November 2020.

Exposures

Admission for a primary diagnosis of HF at discharge.

Main Outcomes and Measures

Unique and overall hospitalizations with a primary diagnosis of HF and postdischarge readmissions. Unique primary HF hospitalizations were grouped by number of visits for the same patient in a given year.

Results

There were 8 273 270 primary HF hospitalizations with a single primary HF admission present in 5 092 626 unique patients, and 1 269 109 had 2 or more HF hospitalizations. The mean age was 72.1 (95% CI, 72.0-72.3) years, and 48.9% (95% CI, 48.7-49.0) were women. The primary HF hospitalization rates per 1000 US adults declined from 4.4 in 2010 to 4.1 in 2013 and then increased from 4.2 in 2014 to 4.9 in 2017. The rates per 1000 US adults for postdischarge HF readmissions (1.0 in 2010 to 0.9 in 2014 to 1.1 in 2017) and all-cause 30-day readmissions (0.8 in 2010 to 0.7 in 2014 to 0.9 in 2017) had similar trends.

Conclusions and Relevance

In this analysis of a nationally representative administrative data set, for primary HF admissions, crude rates of overall and unique patient hospitalizations declined from 2010 to 2014 followed by an increase from 2014 to 2017. Additionally, readmission visits after index HF hospitalizations followed a similar trend. Future studies are needed to verify these findings to improve policies for HF management.

Palliative Care Services in Patients Admitted With Cardiogenic Shock in the United States: Frequency and Predictors of 30-Day Readmission

BACKGROUND

Patients admitted with cardiogenic shock (CS) have high mortality rates, readmission rates, and healthcare costs. Palliative care services (PCS) may be underused, and the association with 30-day readmission and other predictive factors is unknown. We studied the frequency, etiologies, and predictors of 30-day readmission in CS admissions with and without PCS in the United States.

METHODS AND RESULTS

Using the 2017 Nationwide Readmissions Database, we identified admissions for (1) CS, (2) CS with PCS, and (3) CS without PCS. We compared differences in outcomes and predictors of readmission using multivariable logistic regression analysis accounting for survey design. Of 133,738 CS admissions nationally in 2017, 36.3% died inpatient. Among those who survived, 8.6% used PCS and 21% were readmitted within 30 days. Difference between CS with and without PCS groups included mortality (72.8% vs 27%), readmission rate (11.6% vs 21.9%), most frequent discharge destination (50.2% skilled nursing facilities vs 36.4% home), hospitalization cost per patient ($51,083 ± $2,629 vs $66,815 ± $1,729). The primary readmission diagnoses for both groups were heart failure (32.1% vs 24.4%). PCS use was associated with lower rates of readmission (odds ratio, 0.462; 95% confidence interval, 0.408-0.524; P < .001). Do-not-resuscitate status, private pay, self-pay, and cardiac arrest were negative predictors, and multiple comorbidities was a positive predictor of readmission.

CONCLUSIONS

The use of PCS in CS admissions remains low at 8.6% in 2017. PCS use was associated with lower 30-day readmission rates and hospitalization costs. PCS are associated with a decrease in future acute care service use for critically ill cardiac patients but underused for high-risk cardiac patients.

Use of Post-Acute Care Services and Readmissions After Acute Myocardial Infarction Complicated by Cardiac Arrest and Cardiogenic Shock

OBJECTIVE

To evaluate post-acute care utilization and readmissions after cardiac arrest (CA) and cardiogenic shock (CS) complicating acute myocardial infarction (AMI).

METHODS

With use of an administrative claims database, AMI patients from January 1, 2010, to May 31, 2018, were stratified into CA+CS, CA only, CS only, and AMI alone. Outcomes included 90-day post-acute care (inpatient rehabilitation or skilled nursing facility) utilization and 1-year emergency department visits and readmissions.

RESULTS

Of 163,071 AMI patients, CA+CS, CA only, and CS only were noted in 3965 (2.4%), 8221 (5.0%), and 6559 (4.0%), respectively. In-hospital mortality was noted in 10,686 (6.6%) patients: CA+CS, 1935 (48.8%); CA only, 2948 (35.9%); CS only, 1578 (24.1%); and AMI alone, 4225 (2.9%) (P<.001). Among survivors, post-acute care services were used in 67,799 (44.5%), with higher use in the CS+CA cohort (1310 [64.6%]; hazard ratio [HR], 1.19; 95% CI, 1.06 to 1.33; P=.003) and CA cohort (2738 [51.9%]; HR, 1.27; 95% CI, 1.20 to 1.35; P<.001) but not in the CS cohort (3048 [61.2%]; HR, 1.03; 95% CI, 0.97 to 1.11; P=.35) compared with the AMI cohort (60,703 [43.3%]). Compared with the AMI cohort (48,990 [35.0%]), patients with CS only (2,085 [41.9%]; HR, 1.16; 95% CI, 1.10 to 1.22; P<.001) but not those with CA+CS (724 [35.7%]; HR, 1.07; 95% CI, 0.98 to 1.17; P=.14) had higher rates of readmissions (P=.03). Readmissions were lower in those with CA (1,590 [30.2%]; HR, 0.94; 95% CI, 0.89 to 0.99). Repeated AMI, coronary artery disease, and heart failure were the most common readmission reasons. There were no differences for emergency department visits.

CONCLUSION

CA is associated with increased post-acute care use, whereas CS is associated with increased readmission risk in AMI survivors.

Cardiogenic shock teams and centres: a contemporary review of multidisciplinary care for cardiogenic shock

Cardiogenic shock (CS) portends high morbidity and mortality in the contemporary era. Despite advances in temporary mechanical circulatory supports (MCS), their routine use in CS to improve outcomes has not been established. Delays in diagnosis and timely delivery of care, disparities in accessing adjunct therapies such revascularization or MCS, and lack of a systematic approach to care of CS contribute to the poor outcomes observed in CS patients. There is growing interest for developing a standardized multidisciplinary team-based approach in the management of CS. Recent prospective studies have shown feasibility of CS teams in improving survival across a spectrum of CS presentations. Herein, we will review the rationale for CS teams focusing on evidence supporting its use in streamlining care, optimizing revascularization strategies, and patient identification and MCS selection. The proposed structure and flow of CS teams will be outlined. An in-depth analysis of four recent studies demonstrating improved outcomes with CS teams is presented. Finally, we will explore potential implementation hurdles and future directions in refining and widespread implementation of dedicated cross-specialty CS teams.

Implementing a Nurse Discharge Navigator: Reducing 30-Day Readmissions for Heart Failure and Sepsis Populations

PURPOSE/OBJECTIVES

The purpose of this quality improvement project was to evaluate the impact of a nurse discharge navigator on reducing 30-day readmissions for the heart failure and sepsis populations.

PRIMARY PRACTICE SETTING

The 238-bed community hospital in central Virginia is part of a health care system that encompasses 13 acute care facilities.

METHODOLOGY AND SAMPLE

The aim of this project was to identify, implement, and evaluate the transition of care of high-risk readmission patients from January 2019 to April 2019. Inclusion criteria included patients who were 55 years and older, English speaking, diagnosed with heart failure and/or sepsis, discharged to home with or without home health, and/or consults received from case management and social services. Forty-one potential participants were identified with 28 consented. Readmission data were collected pre- and postintervention. The pre-/postanalysis consisted of descriptive statistics, readmission rates, and cost avoidance.

RESULTS

Out of the 28 participants, 7 participants were readmitted within 30 days. The heart failure readmission rates during the project implementation were as follows: January 24.05%, February 20%, March 19.75%, and April 11.11%. After the project completion the readmission rates were 22.97% for May and 26.03% for June, respectively. The potential cost avoidance with sustained gain from the project is $405,316.00.

IMPLICATIONS FOR CASE MANAGEMENT PRACTICE

This project demonstrated that a discharge navigator had an effect on 30-day readmissions for high-risk heart failure and sepsis populations, as evident by a steady decline in overall heart failure readmission rate during project implementation. The sepsis population needs further research. The discharge navigator project added to the body of knowledge for comprehensive discharge planning, coordination, and education that is needed for these types of patient populations that have a great deal of medical complexity.

Cardiogenic shock in autoimmune rheumatologic diseases: an insight on etiologies, management, and treatment outcomes

Autoimmune rheumatological disorders are known to have an increased risk for cardiovascular diseases including coronary artery disease (CAD), myocarditis, pericarditis, valvulopathy, and in consequence cardiogenic shock. Data on cardiogenic shock in rheumatological diseases are scarce; however, several reports have highlighted this specific entity. We sought to review the available literature and highlight major outcomes and the management approaches in each disease. Systematic literature search, including PubMed, Ovid/Medline, Cochrane Library, and Web of Science, was conducted between January 2000 and December 2009. We reviewed all cases reporting cardiogenic shock with rheumatologic conditions, including systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), Takayasu's arteritis (TA), granulomatosis with polyangiitis (GPA), giant cell arteritis (GCA), and antiphospholipid syndrome (APS). We selected 45 papers reporting a total of 48 cases. Mean age was 39 ± 7.3 years and 68.8% were females. Most common rheumatologic conditions associated with cardiogenic shock were SLE (31%), GPA (23%), TA (14.6%), APA (10.4%), and RA (8.3%). Cardiogenic shock was found to be caused by eosinophilic myocarditis in 58% of cases, CAD in 19% of cases, and valvulopathy in 6% of cases. Most patient required high-dose steroids and second immunosuppressant therapy. Mechanical circulatory supported was required in 23 cases, IABP in 16 cases, and ECMO in 12 cases. Complete recovery occurred in 37 patients while 9 patients died and 2 required heart transplant. Responsible for two-thirds of cases, eosinophilic myocarditis should be suspected in young cardiogenic shock patients with underlying rheumatologic conditions. Lupus and GPA are the two most common conditions.

External validation and comparison of the CardShock and IABP-SHOCK II risk scores in real-world cardiogenic shock patients

BACKGROUND

Mortality from cardiogenic shock remains high and early recognition and risk stratification are mandatory for optimal patient allocation and to guide treatment strategy. The CardShock and the Intra-Aortic Balloon Counterpulsation in Acute Myocardial Infarction Complicated by Cardiogenic Shock (IABP-SHOCK II) risk scores have shown good results in predicting short-term mortality in cardiogenic shock. However, to date, they have not been compared in a large cohort of ischaemic and non-ischaemic real-world cardiogenic shock patients.

METHODS

The Red-Shock is a multicentre cohort of non-selected cardiogenic shock patients. We calculated the CardShock and IABP-SHOCK II risk scores in each patient and assessed discrimination and calibration.

RESULTS

We included 696 patients. The main cause of cardiogenic shock was acute coronary syndrome, occurring in 62% of the patients. Compared with acute coronary syndrome patients, non-acute coronary syndrome patients were younger and had a lower proportion of risk factors but higher rates of renal insufficiency; intra-aortic balloon pump was also less frequently used (31% vs 56%). In contrast, non-acute coronary syndrome patients were more often treated with mechanical circulatory support devices (11% vs 3%, p<0.001 for both). Both risk scores were good predictors of in-hospital mortality in acute coronary syndrome patients and had similar areas under the receiver-operating characteristic curve (area under the curve: 0.742 for the CardShock vs 0.752 for IABP-SHOCK II, p=0.65). Their discrimination performance was only modest when applied to non-acute coronary syndrome patients (0.648 vs 0.619, respectively, p=0.31). Calibration was acceptable for both scores (Hosmer-Lemeshow p=0.22 for the CardShock and 0.68 for IABP-SHOCK II).

CONCLUSIONS

In our cohort, both the CardShock and the IABP-SHOCK II risk scores were good predictors of in-hospital mortality in acute coronary syndrome-related cardiogenic shock.

Association of history of heart failure with hospital outcomes of hyperglycemic crises: Analysis from a University hospital and national cohort

AIMS

The impact of a history of heart failure (HF) on the outcomes of hospitalization for hyperglycemic crises (diabetic ketoacidosis and hyperosmolar hyperglycemic syndrome) is unknown. We aimed to test the hypothesis that a history of HF has a deleterious impact on the outcomes of hospitalization for hyperglycemic crises.

METHODS

We used two different datasets: National Inpatient Sample database 2003-2014 and a single University hospital cohort 2007-2017, to identify all adult hospitalizations with a primary diagnosis of hyperglycemic crises. Multivariable regression models were used to analyze the outcomes of in-hospital mortality, length of hospital stay and transfer to nursing home or similar short-term facility between HF and no-HF hospitalizations.

RESULTS

Of the 1, 570,726 hyperglycemic crises related hospitalizations, a history of HF was present in 57, 520 (3.6%) hospitalizations. After multivariable risk-adjustment, HF group had a higher observed in-hospital mortality [0.4% vs. 0.2%; adjusted odds ratio (AOR) = 1.7, 95% CI 1.4 to 2.0, P < .001] and transfer to nursing home or similar short-term facility (3.9 vs. 2.8%, AOR = 1.4, 95% CI 1.3 to 1.5, P < .001) compared with no-HF group. Mean length of hospital stay [6.5 vs. 3.5 days; P < .001] was also higher for HF group than no-HF group. Data from the smaller University hospital cohort showed similar findings.

CONCLUSIONS

Patients with a history of HF may be an under-recognized high-risk group among patients hospitalized for hyperglycemic crisis. Additional studies are warranted to clarify risk elements and optimize the inpatient care of individuals with hyperglycemic crises.

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

BACKGROUND

The five-stage Society for Cardiovascular Angiography and Intervention (SCAI) cardiogenic shock classification scheme can stratify hospital mortality risk in patients admitted to the cardiac intensive care unit (CICU). We sought to evaluate the SCAI shock classification for prediction of post-discharge mortality in CICU survivors.

METHODS

We retrospectively analyzed hospital survivors admitted to a single CICU between 2007 and 2015. SCAI CS stages A through E were classified using CICU admission data using a previously published algorithm. All-cause post-discharge mortality was compared across SCAI stages using Kaplan-Meier analysis and Cox proportional hazards models.

RESULTS

Among 9096 unique hospital survivors, 43.2% had acute coronary syndrome (ACS), 44.6% had heart failure (HF), and 8.7% had cardiac arrest (CA) on admission. The proportion of patients in each SCAI shock stage was: A, 49.1%; B, 30.6%; C, 15.2; D/E 5.2%. Kaplan-Meier survival at 5 years in each SCAI shock stage was: A, 88.2%; B, 81.6%; C, 76.7%; D/E, 71.7% (P < .001 by log-rank). Each higher SCAI shock stage was associated with increased adjusted post-discharge mortality compared to SCAI shock stage A (all P < .001); results were consistent among patients with ACS or HF. Late hemodynamic deterioration after 24 hours, but not an admission diagnosis of CA, was associated with higher post-discharge mortality.

CONCLUSIONS

The SCAI shock classification assessed at the time of CICU admission was predictive of post-discharge mortality risk among hospital survivors, although an admission diagnosis of CA was not. The SCAI shock classification can be used for post-discharge mortality risk stratification.

Causes and predictors of 30-day readmissions in patients with cardiogenic shock requiring extracorporeal membrane oxygenation support

BACKGROUND

Cardiogenic shock is associated with significant mortality, morbidity, and healthcare cost. Utilization of extracorporeal membrane oxygenation in cardiogenic shock has increased in the United States. We sought to identify the rates and predictors of hospital readmissions in patients with cardiogenic shock after weaning from extracorporeal membrane oxygenation.

METHODS

Using the 2016 Nationwide Readmission Database, we identified all patients (⩾18 years) with cardiogenic shock (ICD-10 CM R57.0) that have been implanted with extracorporeal membrane oxygenation (ICD-10-PSC of 5A15223) and were discharged alive (January-November 2016). We explored the rates, causes, and predictors of all-cause readmissions within 30 days.

RESULTS

Out of 69,040 admissions with cardiogenic shock, 1641 (2.4%) underwent extracorporeal membrane oxygenation (581 were implanted during or after cardiac surgery). A total of 734 (44.7%) patients of all extracorporeal membrane oxygenations survived to discharge, and 661 were available for analysis. Out of those, 158 (23.9%) were readmitted within 30 days of discharge. More than 50% of these readmissions happened within the first 11 days. Out of 158 patients who were readmitted, 12 (7.4%) died during the readmission hospitalization. Leading causes of readmission were cardiovascular (31.6%) (heart failure: 24.1%, arrhythmia: 20.6%, neurovascular: 10.3%, hypertension: 10.3%, and endocarditis: 6.8%), followed by complications of medical/device care (17.7%), infection (11.3%), and gastrointestinal/liver (10.1%) complications. Factors associated with readmissions include the following: discharge to skilled nursing facility or with home healthcare (odds ratio: 2.10; 95% confidence interval: 1.18-3.74), durable ventricular assisted device implantation, asthma, and chronic liver disease.

CONCLUSION

Patients with cardiogenic shock who underwent extracorporeal membrane oxygenation had a readmission rate. Identifying patients at high risk of readmissions might help improve outcomes.

Design and preliminary results of FRENSHOCK 2016: A prospective nationwide multicentre registry on cardiogenic shock

BACKGROUND

Most data on the epidemiology of cardiogenic shock (CS) have come from patients with acute myocardial infarction admitted to intensive cardiac care units (ICCUs). However, CS can have other aetiologies, and could be managed in intensive care units (ICUs), especially the most severe forms of CS.

AIM

To gather data on the characteristics, management and outcomes of patients hospitalized in ICCUs and ICUs for CS, whatever the aetiology, in France in 2016.

METHODS

We included all adult patients with CS between April and October 2016 in metropolitan France. CS was defined (at admission or during hospitalization) by: low cardiac output, defined by systolic blood pressure<90mmHg and/or the need for amines to maintain systolic blood pressure>90mmHg and/or cardiac index<2.2L/min/m²; elevation of the left and/or right heart pressures, defined by clinical, radiological, biological, echocardiographic or invasive haemodynamic overload signs; and clinical and/or biological signs of malperfusion (lactate>2mmol/L, hepatic insufficiency, renal failure).

RESULTS

Over a 6-month period, 772 patients were included in the survey (mean age 65.7±14.9 years; 71.5% men) from 49 participating centres (91.8% were public, and 77.8% of these were university hospitals). Ischaemic trigger was the most common cause (36.3%).

CONCLUSIONS

To date, FRENSHOCK is the largest CS survey; it will provide a detailed and comprehensive global description of the spectrum and management of patients with CS in a high-income country.

Frequency of 30-day readmission and its causes after percutaneous coronary intervention in acute myocardial infarction complicated by cardiogenic shock

BACKGROUND

Survival after percutaneous coronary intervention (PCI) in acute myocardial infarction complicated by cardiogenic shock (AMI-CS) has increased over the years. Short-term readmission rates in this high-risk population remain unknown.

METHODS

We queried the United States (U.S.) Nationwide Readmission Database (NRD) from January 2010 to November 2014 using the International Classification of Diseases-Ninth edition, Clinical Modification (ICD-9 CM) codes to identify all patients ≥18 years readmitted within 30 days after surviving an index hospitalization for PCI in AMI-CS. Incidence, etiologies, and predictors of 30-day readmission were analyzed.

RESULTS

Among 46,435 patients who survived to discharge after PCI in AMI-CS, 9,020 (19.4%) were readmitted within 30 days. Median time to 30-day readmission was 11 days. Cardiac conditions were the most common causes of readmission (57.8%). Heart failure was the leading readmission diagnosis (24.8%). Private insurance including HMO and self-pay were predictive of lower 30-day readmission. Among other covariates, female sex, comorbidities such as heart failure, atrial fibrillation, in-hospital complications such as major bleeding, sepsis, respiratory complications, AKI requiring dialysis, utilization of mechanical circulatory support (IABP and ECMO) were independently predictive of 30-day readmission. Trend analysis showed decline in 30-day readmission rates from 21.9% in 2010 to 17.9% in 2014 (p_trend  < 0.001).

CONCLUSION

In this large real-world database, one in five patients receiving PCI in AMI-CS was readmitted within 30 days after discharge. Cardiac conditions were the most common causes of readmission. Insurance type had significant influence on 30-day readmission.