Heart Failure Symptom Biology in Response to Ventricular Assist Device Implantation.

BACKGROUND: We have a limited understanding of the biological underpinnings of symptoms in heart failure (HF), particularly in response to left ventricular assist device (LVAD) implantation. OBJECTIVE: The aim of this study was to quantify the degree to which symptoms and biomarkers change in parallel from before implantation through the first 6 months after LVAD implantation in advanced HF. METHODS: This was a prospective cohort study of 101 patients receiving an LVAD for the management of advanced HF. Data on symptoms (dyspnea, early and subtle symptoms [HF Somatic Perception Scale], pain severity [Brief Pain Inventory], wake disturbance [Epworth Sleepiness Scale], depression [Patient Health Questionnaire], and anxiety [Brief Symptom Inventory]) and peripheral biomarkers of myocardial stretch, systemic inflammation, and hypervolumetric mechanical stress were measured before implantation with a commercially available LVAD and again at 30, 90, and 180 days after LVAD implantation. Latent growth curve and parallel process modeling were used to describe changes in symptoms and biomarkers and the degree to which they change in parallel in response to LVAD implantation. RESULTS: In response to LVAD implantation, changes in myocardial stretch were closely associated with changes in early and subtle physical symptoms as well as depression, and changes in hypervolumetric stress were closely associated with changes in pain severity and wake disturbances. Changes in systemic inflammation were not closely associated with changes in physical or affective symptoms in response to LVAD implantation. CONCLUSIONS: These findings provide new insights into the many ways in which symptoms and biomarkers provide concordant or discordant information about LVAD response

Implementation of a Cardiogenic Shock Protocol and Data Review Process is Associated With Improved In-Hospital Survival

Background: Despite increasing use of mechanical circulatory support devices (MCS), cardiogenic shock (CS) mortality is persistently high, with worsening outcomes in later stages of CS. Delays in diagnosis and practice variation may contribute to in-hospital mortality. Methods: In June 2018, we devised and implemented a CS protocol at two hospitals from one health system in Portland, OR. The CS protocol was designed to promote early CS recognition, rapid notification of a multi-disciplinary specialty team lead by a heart failure cardiologist, invasive hemodynamic evaluation, and institution of MCS as appropriate. CS was defined by widely accepted clinical and hemodynamic criteria. Patient demographics, disease severity, process metrics, and clinical outcomes were prospectively collected and reviewed monthly by a multi-disciplinary CS task force. M&Ms were conducted routinely to identify improvement opportunities. The task force continually refined data collection, implemented protocol improvements, and educated providers and clinical staff in the emergency department, critical care, intermediate care, and cardiac telemetry units. Education centered on early recognition of CS, protocol for activation, and the time-sensitivity of CS outcomes. Results: From June 1, 2018 to October 1, 2019, identification of CS patients grew from five to 55 patients per month, with 311 total patients identified. Education initially emphasized CS identification and team activation, then expanded to definition of CS stages and hospital-specific protocols. Over 10 months, the CS mortality rate decreased by 30%. Ongoing optimization includes stratifying patients by primary discharge diagnosis, consistently documenting shock stages in the electronic medical record, and refining the transfer process from other hospitals. Conclusions: Implementation of a CS protocol with emphasis on early recognition, hemodynamic assessment, and implementation of MCS is associated with improved survival. Multi-disciplinary education and team engagement in data review are integral to continual process improvement. Character count: 1,818 Clinical Implications: A protocolized, multi-disciplinary approach can improve the outcome of CS

Usefulness of cognitive dysfunction in heart failure to predict cardiovascular risk at 180 days

Cognitive dysfunction is common in patients with heart failure (HF). Despite the high prevalence and the adverse associations of cognitive dysfunction in HF, the prognostic implications remain poorly understood. We sought to determine the influence of cognitive dysfunction, identified using the Montreal Cognitive Assessment (MoCA), on 180-day cardiovascular events. We analyzed data on 246 participants in an observational cohort study of adults with HF. The interview-format MoCA was administered to all participants. Time to first cardiovascular event was assessed as a cumulative end point during the 180 days after enrollment. Cox proportional hazards model was used for analysis of time to first event. The MoCA score was <26 for 91 patients (37%). Patients with a MoCA score <26 were more likely to have a cardiovascular event at 180 days. MoCA score <26 remained an independent predictor of cardiovascular event risk at 180 days when adjusted for the Seattle Heart Failure Model Score and the Charlson comorbidity index (hazard ratio 1.7, 95% confidence interval 1.1 to 2.6, p = 0.03). In conclusion, in patients with HF, cognitive dysfunction identified with a MoCA score of <26 is associated with increased risk of cardiovascular events at 180 days

Self-care moderates the relationship between symptoms and health-related quality of life in heart failure

Background: Physical symptoms and depression in heart failure (HF) are key drivers of health-related quality of life (HRQOL). Heart failure self-care behaviors are believed to influence how symptoms affect HRQOL. Objective: The goal of this study was to determine if HF self-care behaviors moderate the relationships between physical and depressive symptoms and HRQOL. Methods: In a cohort of adults with moderate to advanced HF, multivariate linear regression was used to evaluate the interaction between self-care behaviors (Self-care of HF index maintenance and management scales) and physical HF symptoms (HF Somatic Perception Scale) on emotional HRQOL (emotional dimension of Minnesota Living With HF Questionnaire). The interaction between self-care behaviors and depression (9-item Patient Health Questionnaire) was evaluated on physical HRQOL (physical dimension of Minnesota Living With HF Questionnaire). Results: The mean age of the sample (N = 202) was 57 ± 13 years, 50% were women, and 61% had New York Heart Association class III or IV HF. Controlling for age, Seattle HF score, functional ability, and comorbidities, self-care maintenance and management moderated the relationship between physical HF symptoms and emotional HRQOL. Only self-care maintenance moderated the relationship between depression and physical HRQOL. Conclusion: In HF, HRQOL is dependent on both the severity of physical and depressive symptoms and the level of engagement in HF self-care behaviors. Future research should consider both self-care behaviors and symptoms when examining patient HRQOL

Self-care Moderates the Relationship Between Symptoms and Health-Related Quality of Life in Heart Failure

Background: Physical symptoms and depression in heart failure (HF) are key drivers of health-related quality of life (HRQOL). Heart failure self-care behaviors are believed to influence how symptoms affect HRQOL. Objective: The goal of this study was to determine if HF self-care behaviors moderate the relationships between physical and depressive symptoms and HRQOL. Methods: In a cohort of adults with moderate to advanced HF, multivariate linear regression was used to evaluate the interaction between self-care behaviors (Self-care of HF index maintenance and management scales) and physical HF symptoms (HF Somatic Perception Scale) on emotional HRQOL (emotional dimension of Minnesota Living With HF Questionnaire). The interaction between self-care behaviors and depression (9-item Patient Health Questionnaire) was evaluated on physical HRQOL (physical dimension of Minnesota Living With HF Questionnaire). Results: The mean age of the sample (N = 202) was 57 ± 13 years, 50% were women, and 61% had New York Heart Association class III or IV HF. Controlling for age, Seattle HF score, functional ability, and comorbidities, self-care maintenance and management moderated the relationship between physical HF symptoms and emotional HRQOL. Only self-care maintenance moderated the relationship between depression and physical HRQOL. Conclusion: In HF, HRQOL is dependent on both the severity of physical and depressive symptoms and the level of engagement in HF self-care behaviors. Future research should consider both self-care behaviors and symptoms when examining patient HRQOL