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BackgroundEffective and timely delivery of cardiac arrest interventions during in-hospital cardiac arrest resuscitation is associated with greater survival. Whether a mobile app that provides timely reminders of critical interventions improves adherence to Advanced Cardiovascular Life Support (ACLS) guidelines among house officers, who may lack experience in leading resuscitations, remains unknown. ObjectiveThe aim of this study was to assess the impact of a commercially available, dynamic mobile app on house officers’ adherence to ACLS guidelines. MethodsAs part of a quality improvement initiative, internal medicine house officers were invited to participate and randomized to lead 2 consecutive cardiac arrest simulations, one with a novel mobile app and one without a novel mobile app. All simulations included 4 cycles of cardiopulmonary resuscitation with different cardiac arrest rhythms and were video recorded. The coprimary end points were chest compression fraction and number of correct interventions in each simulation. The secondary end point was incorrect interventions, defined as interventions not indicated by the 2015 ACLS guidelines. Paired t tests compared performance with and without the mobile app. ResultsAmong 53 house officers, 26 house officers were randomized to lead the first simulation with the mobile app, and 27 house officers were randomized to do so without the app. Use of the mobile app was associated with a higher number of correct ACLS interventions (out of 7; mean 6.2 vs 5.1; absolute difference 1.1 [95% CI 0.6 to 1.6]; P

AimsImproving the health status (symptoms, function, and quality of life) of patients with heart failure with reduced ejection fraction (HFrEF) is a primary treatment goal. Angiotensin receptor neprilysin inhibitors (ARNI) improve short-term health status in clinical practice, but the sustainability of these improvements is unknown.Methods and resultsIn CHAMP-HF, a multicentre observational study of outpatients with HFrEF, patients initiated on ARNI were propensity score matched 1:2 to patients not using ARNI with Cox regression modelling time to ARNI initiation, adjusted for sociodemographic and clinical variables, medical history, medications, and baseline Kansas City Cardiomyopathy Questionnaire (KCCQ) scores. Repeated measures models for the overall KCCQ score and each domain compared the health status trajectories of patients initiated on ARNI vs. not. Among 3930 participants, 746 (19.0%) began ARNI, of whom 576 were matched to 1152 non-ARNI patients. Prior to matching, participants initiated on ARNI were younger, non-Hispanic, had lower EFs, more commonly had a history of ventricular arrhythmia, were less likely to be taking an ACEI/ARB, and more likely to be treated with beta-blockers and mineralocorticoid receptor antagonists. There were no differences after matching. In the matched cohort, participants initiated on ARNI experienced improved health status by 3 months that persisted through 12 months [KCCQ Overall Summary Score (OSS) = 73.4 vs. 70.8; P

IntroductionEvaluation of health status benefits, cost-effectiveness, and value of new heart failure therapies is critical for supporting their use. The Kansas City Cardiomyopathy Questionnaire (KCCQ) measures patients' heart failure-specific health status but does not provide utilities needed for cost-effectiveness analyses. We mapped the KCCQ scores to EQ-5D scores so that estimates of societal-based utilities can be generated to support economic analyses.MethodsUsing data from two US cohort studies, we developed models for predicting EQ-5D utilities (3L and 5L versions) from the KCCQ (23- and 12-item versions). In addition to predicting scores directly, we considered predicting the five EQ-5D health state items and deriving utilities from the predicted responses, allowing different countries' health state valuations to be used. Model validation was performed internally via bootstrap and externally using data from two clinical trials. Model performance was assessed using R2, mean prediction error, mean absolute prediction error, and calibration of observed vs. predicted values.ResultsThe EQ-5D-3L models were developed from 1000 health status assessments in 547 patients with heart failure and reduced ejection fraction (HFrEF), while the EQ-5D-5L model was developed from 3925 patients with HFrEF. For both versions, models predicting individual EQ-5D items performed as well as those predicting utilities directly. The selected models for the 3L had internally validated R2 of 48.4-50.5% and 33.7-45.6% on external validation. The 5L version had validated R2 of 57.7%.ConclusionMappings from the KCCQ to the EQ-5D can yield the estimates of societal-based utilities to support cost-effectiveness analyses when EQ-5D data are not available.

ObjectivesThe aim of this study was to use a multicenter, observational outpatient registry of patients with heart failure with reduced ejection fraction (HFrEF) to describe the association between changes in patients' medications with changes in health status.BackgroundAlleviating symptoms and improving function and quality of life for patients with HFrEF are primary treatment goals and potential indicators of quality. Whether titrating medications in routine clinical care improves patients' health status is unknown.MethodsThe association of any change in HFrEF medications with 3-month change in health status, as measured using the 12-item Kansas City Cardiomyopathy Questionnaire Overall Summary Scale, was determined in unadjusted and multivariate-adjusted (25 clinical characteristics, baseline health status) models using hierarchical linear regression.ResultsAmong 3,313 outpatients with HFrEF from 140 centers, 21.9% had medication changes. Three months later, 23.7% and 46.4% had clinically meaningfully worse (≥5-point decrease) and improved (≥5-point increase) Kansas City Cardiomyopathy Questionnaire Overall Summary Scale scores. The 3-month median change in Kansas City Cardiomyopathy Questionnaire Overall Summary Scale score for patients whose HFrEF medications were changed was significantly larger (7.3 points; interquartile range: -3.1 to 20.8 points) than in patients whose medications were not changed (3.1 points; interquartile range: -4.7 to 12.5 points) (adjusted difference 3.0 points; 95% confidence interval: 1.4 to 4.6 points; p

BACKGROUND: Caregivers of patients with advanced heart failure may experience burden in providing care, but whether changes in patient health status are associated with caregiver burden is unknown. This observational study included older patients (60-80 years old) receiving advanced surgical heart failure therapies and their caregivers at 13 US sites. Patient health status was assessed using the 12-item Kansas City Cardiomyopathy Questionnaire (range, 0-100; higher scores are better). Caregiver burden was assessed using the Oberst Caregiving Burden Scale, which measures time on task (OCBS-time) and task difficulty (OCBS-difficulty; range, 1-5; lower scores are better). Measurements occurred before surgery and 12 months after in 3 advanced heart failure cohorts: patients receiving longterm left ventricular assist device support; heart transplantation with pretransplant left ventricular assist device support; and heart transplantation without pretransplant left ventricular assist device support. Multivariable linear regression was used to identify predictors of change in OCBS-time and OCBS-difficulty at 12 months. RESULTS: Of 162 caregivers, the mean age was 61.0±9.4 years, 139 (86%) were female, and 140 (86%) were the patient's spouse. At 12 months, 99 (61.1%) caregivers experienced improved OCBS-time, and 61 (37.7%) experienced improved OCBS-difficulty (versus no change or worse OCBS). A 10-point higher baseline 12-item Kansas City Cardiomyopathy Questionnaire predicted lower 12-month OCBS-time (ß=-0.09 [95% CI, -0.14 to -0.03]; P<0.001) and OCBS-difficulty (ß=-0.08 [95% CI, -0.12 to -0.05]; P<0.001). Each 10-point improvement in the 12-item Kansas City Cardiomyopathy Questionnaire predicted lower 12-month OCBS-time (ß=-0.07 [95% CI, -0.12 to -0.03]; P=0.002) and OCBS-difficulty (ß=-0.09 [95% CI, -0.12 to -0.06]; P<0.001). CONCLUSIONS:' Among survivors at 12 months, baseline and change in patient health status were associated with subsequent caregiver time on task and task difficulty in dyads receiving advanced heart failure surgical therapies, highlighting the potential for serial 12-item Kansas City Cardiomyopathy Questionnaire assessments to identify caregivers at risk of increased burden. [ABSTRACT FROM AUTHOR]

Abstract Background Using data from syndromic surveillance, the New York City Department of Health and Mental Hygiene (DOHMH) identified an increase in the number of emergency department (ED) visits related to synthetic cannabinoids. Syndromic surveillance data were used to target community-level interventions and assess the real-time impact of control measures in reducing synthetic cannabinoid (“K2”)-related morbidity. Methods From April 2015 through September 2015, DOHMH implemented 3 separate interventions to reduce K2-related morbidity by limiting the availability of K2 products. Difference-in-difference analyses compared pre- and post-intervention differences in cannabinoid-related ED visit rates between neighborhoods and controls for Interventions A and B. City-wide count data were used to compare K2-related ED visits before and after Intervention C. Results Syndromic data showed a reduction in K2-related ED visits following the 3 interventions. Respective decreases in rates of synthetic cannabinoid-related ED visits of 33 and 38% were detected at the neighborhood-level due to Interventions A and B, respectively. A decrease of 29% was calculated at the city level following Intervention C. Conclusions In addition to identifying emerging public health concerns, syndromic data can provide valuable real-time evidence on the effectiveness of public health interventions.

Introduction: After left ventricular assist device (LVAD) implantation, caregivers may experience increasing burden because of new roles and responsibilities. We examined the association between caregiver burden at baseline and patient recovery after long-term LVAD implantation in patients ineligible for heart transplantation. Methods: Between October 1, 2015, and December 31, 2018, data from 60 patients with a long-term LVAD (age, 60–80 years) and caregivers through 1 postoperative year were analyzed. Caregiver burden was measured using the Oberst Caregiving Burden Scale, a validated instrument used for measuring caregiver burden. Patient recovery post–LVAD implantation was defined by change in Kansas City Cardiomyopathy Questionnaire-12 (KCCQ-12) overall summary score and rehospitalizations over 1 year. Multivariable regression models (least-squares for change in KCCQ-12 and Fine-Gray cumulative incidence for rehospitalizations) were used to assess for association with caregiver burden. Results: Patients were 69.4 ± 5.5 years old, 85% men, and 90% White. Over the first year post–LVAD implantation, there was a 32% cumulative probability of rehospitalization; 72% (43/60) of patients had an improvement of ≥5 points in KCCQ-12 scores. Caregivers were 61.2 ± 11.5 years old, 93% women, 81% White, and 85% married. Median Oberst Caregiving Burden Scale Difficulty and Time scores at baseline were 1.13 and 2.27, respectively. Higher caregiver burden was not significantly associated with hospitalizations or change in patient health-related quality of life during the first year post–LVAD implantation. Conclusions: Higher caregiver burden at baseline was not associated with patient recovery in the first year after LVAD implantation. Understanding the associations between caregiver burden and patient outcomes after LVAD implantation is important as excessive caregiver burden is a relative contraindication for LVAD implantation. [ABSTRACT FROM AUTHOR]