Use of Imaging-guided Decongestion for Reducing Heart Failure Readmission and Death in High-risk Patients: A Multi-site Randomized Trial of a Nurse-led Strategy at the Point of Care.

BACKGROUND: Nurse-led disease management programs (DMPs) decrease readmission after acute decompensated heart failure (HF). We sought whether readmissions could be further reduced by lung ultrasound (LUS)-guided decongestion before discharge and during DMP. METHODS AND RESULTS: Of 290 patients hospitalized with acute decompensated HF, 122 at high risk for readmission or mortality were randomized to receive usual care (UC) (n = 64) or UC plus intervention (DMP-Plus) (n = 58), comprising LUS-guided management before discharge and during at-home follow-up. Residual congestion was identified by ≥10 B-lines detected in 8 lung zones. The outcomes included a composite of readmission and/or mortality at 30 and 90 days, and 90-day HF readmission. Residual congestion was detected equally among the patient groups. The 30-day composite outcome occurred in 28% DMP-plus patients and 22% UC patients (odd ratio [OR], 1.36; 95% confidence interval [CI], 0.59-3.1; P = .5) and the 90-day HF readmission outcome occurred in 22% and 31%, respectively (odds ratio, 0.63; 95% CI, 0.28-1.43; P = .3). Residual congestion, identified at predischarge LUS examination in high-risk patients, was associated with early (<14-day) HF readmission (relative risk, 1.19; 95% CI, 1.06-1.32; P = .002) and multiple (≥2) readmissions over 90 days of follow-up (relative risk, 1.09; 95% CI, 1.01-1.16; P = .012), independent of demographics and comorbidities. CONCLUSIONS: Readmission in patients with incomplete decongestion before discharge occurs within the first 2 weeks. However, our DMP-plus strategy did not improve the primary outcome.

Influence of Risk on Reduction of Readmission and Death by Disease Management Programs in Heart Failure.

OBJECTIVE: Disease management programs (DMPs) may reduce short-term readmission or death after heart failure (HF) hospitalization. We sought to determine if targeting of DMP to the highest-risk patients could improve efficiency. METHODS AND RESULTS: Patients (n = 412) admitted with HF were randomized to usual care or an intensive DMP including optimizing intravascular volume status at discharge, increased self-care education, exercise guidance, closer home surveillance, and increased intensity of HF nurse follow-up. Both treatment groups were similar in demographics, medication use, Charlson comorbidity index, ejection fraction, and left ventricular and atrial volumes. Readmission or death occurred in 74/197 (37%) usual care and 50/215 (23%) DMP patients within 30 days (relative risk [RR] 0.62, 95% confidence interval [CI] 0.46-0.84), and 113/197 (57%) usual care and 78/215 (36%) DMP patients within 90 days, (RR 0.63, 9%% CI 0.51-0.78). The predicted risk of death and readmission (estimated from our previously developed risk score) was similar between treatment groups (mean predicted risk 38.6 ± 22.2% vs 39.4 ± 21.9%; P = .73) and similar across categories of predicted risk between the treatment groups. For 30-day readmission or death, patients from the 2 highest risk quintiles showed a benefit from intervention, and there was an interaction between intervention and predicted risk (P = .02). For 90-day readmission or death, most patients-other than those in the lowest-risk quintile-benefited from the intervention. CONCLUSIONS: Use of a risk score may permit targeting of DMP to reduce HF admission. Intensive DMP may reduce short-term readmission or death, particularly in high-risk patients.

Rationale and design of a trial to personalize risk assessment in familial coronary artery disease.

BACKGROUND: The lifetime risk of coronary artery disease (CAD) is doubled in people with a family history of premature disease, yet this risk is not captured in most 5- or 10-year risk assessment algorithms. Coronary artery calcium scoring (CCS) is a marker of subclinical CAD risk, which has been shown in observational studies to provide prognostic information that is incremental to clinical assessment; is relatively inexpensive; and is performed with a small radiation dose. However, the use of CCS in guiding prevention is not strongly supported by guidelines. Showing definitive evidence of the efficacy and cost-effectiveness of CCS is therefore of importance. STUDY DESIGN: The proposed randomized controlled trial of the use of CCS will be targeted to 40- to 70-year-old first-degree relatives of patients with CAD onset <60 years old or second-degree relatives of patients with onset <50 years old. Control patients will undergo standard risk scoring and be blinded to CCS results. In the intervention group, primary prevention in patients undergoing CCS will be informed by this score. At 3 years, effectiveness will be assessed on change in plaque volume at computed tomography coronary angiography, the extent of which has been strongly linked to outcome. SUMMARY: The CAUGHT-CAD trial will provide evidence to inform the guidelines regarding the place of CCS in decision making regarding primary prevention of patients with a family history of premature disease.

Influence of Repeated Plaque Visualization on Cardiovascular Risk Reduction after 3 years; a randomized controlled trial.

AIMS: Helping people to understand their cardiovascular (CV) risk can influence the choices they make for risk reduction, including medication adherence and lifestyle modification. This study sought whether repeated visualization of coronary artery calcium (CAC) images was effective in sustaining long-term risk control in primary prevention, independent of a risk reduction program. METHODS: Asymptomatic, statin-naïve participants, 40-70 years, with a family history of premature coronary artery disease and a CAC score from 1-400 were randomised to a nurse-led CV risk reduction program or standard care with bi-annual reviews. Only the intervention group (220 of 449 participants) visualised their CAC image (with repeat exposure in the first 3 months) and were initiated on statin therapy. The primary outcome was change in Framingham Risk Score (FRS) at 36 months, and the impact of CAC image recall on CV risk was assessed. RESULTS: The reduction in FRS (difference in differences (DID): -3.4% [95%CI: -4.4% to -2.4%], p=<0.001 and low-density-lipoprotein-cholesterol -1.2mmol/L [95%CI: -1.4 to -1.0], p=<0.001)) over 36 months was greater in the intervention than the control group. Within the intervention group, sustained recall of CAC images at 24 months was associated with lower systolic blood pressure (DID -4.3mmHg [95%CI: -7.7 to-0.9], p=0.01) and waist circumference (DID -2.0cm [95% CI: -3.9 to -0.1], p=0.03) at 36 months compared to unsustained recall. CONCLUSION: A nurse-led program, combining personalized patient visualization of CAC imaging with statin therapy, is beneficial for improving CV risk. Recalling the presentation of CAC images through repeated visual exposure may influence risk reduction.

This trial sought to determine whether visualization of coronary artery calcium (CAC) images influences behaviour change and cardiovascular risk reduction within a structured nurse-led program versus standard care. Intervention participants visualized their personalized CAC images within the first three months and commenced statin therapy. Control participants were blinded to their CAC images and were not provided statin therapy. Intervention participants had a greater absolute reduction in the Framingham Risk Score (Difference in differences: -3.4% [95% CI: -4.4% to -2.4%], p=<0.001) compared to controls. Those with sustained recollection of their CAC images within the intervention group also had greater reductions in systolic blood pressure and waist circumference.

Impact of Patient Visualization of Cardiovascular Images on Modification of Cardiovascular Risk Factors: Systematic Review and Meta-Analysis.

BACKGROUND: It is unclear whether detection and patient visualization of cardiovascular (CV) images using computed tomography to assess coronary artery calcium or carotid ultrasound (CU) to identify plaque and intima-medial thickness merely prompts prescription of lipid-lowering therapy or whether it motivates lifestyle change among patients. OBJECTIVES: This systematic review and meta-analysis sought to investigate whether patient visualization of CV images (computed tomography or CU) has a beneficial impact on improving overall absolute CV risk as well as lipid and nonlipid CV risk factors in asymptomatic individuals. METHODS: The key words "CV imaging," "CV risk," "asymptomatic persons," "no known or diagnosed CV disease," and "atherosclerotic plaque" were searched in PubMed, Cochrane, and Embase in November 2021. Randomized trials that assessed the role of CV imaging in reducing CV risk in asymptomatic persons with no known CV disease were eligible for study inclusion. The primary outcome was a change in 10-year Framingham risk score from the trial commencement to the end of the follow-up following patient visualization of CV images. RESULTS: Six randomized controlled trials (7,083 participants) were included; 4 studies used coronary artery calcium and 2 used CU to detect subclinical atherosclerosis. All studies used image visualization in the intervention group to communicate CV risk. Imaging-guidance was associated with a 0.91% improvement in 10-year Framingham risk score (95% CI: 0.24%-1.58%; P = 0.01). Significant reductions in low-density-lipoprotein, total cholesterol, and systolic blood pressure were observed (all P < 0.05). CONCLUSIONS: Patient visualization of CV imaging is associated with overall CV risk reduction and improvement of individual risk factors: cholesterol and systolic blood pressure.

Nurse-Provided Lung and Inferior Vena Cava Assessment in Patients With Heart Failure.

BACKGROUND: Residual congestion detected using handheld ultrasound may be associated with increased risk of readmission and death after hospitalization for acute decompensated heart failure (ADHF). However, effective application necessitates routine use by nonexperts delivering clinical care. OBJECTIVES: The objective of this study was to determine the ability of heart failure (HF) nurses to deliver a predischarge lung and inferior vena cava (IVC) assessment (LUICA) to predict 90-day outcomes. METHODS: In this multisite, prospective, observational study, HF nurses scanned 240 patients with ADHF (median age: 77 years; 56% men) using a 9-zone LUICA protocol. Obtained images were reviewed by independent nurses who were blinded to clinical characteristics and outcomes. Based on a B-line cut-off of 10, patients were dichotomized as congested (n = 115) or not congested (n = 125). RESULTS: Congested patients were more likely to have previous cardiac operations, long-standing HF (>6 months), and renal impairment. At 90 days, HF readmission or mortality occurred in 42 congested patients (37%) compared with 18 noncongested patients (14%). Pulmonary congestion increased at 30-day (OR: 3.86; 95% CI: 1.65-8.99; P < 0.01) and 90-day (OR: 3.42; 95% CI: 1.82-6.4; P < 0.01) HF readmission or mortality risk and 90-day mortality (OR: 5.18; 95% CI: 1.44-18.69; P < 0.01). Pulmonary congestion increased the 90-day odds of HF readmission and/or death by 3.3- to 4.2-fold (P < 0.01), independent of demographics, HF characteristics, comorbidities, and event risk score. Over 90 days, days alive out of hospital were fewer (78.3 ± 21.4 days vs 85.5 ± 12.4 days; P < 0.01) in congested patients. CONCLUSIONS: LUICA can be a powerful tool for detection of predischarge residual congestion. HF nurses can obtain images and provide diagnostic reports that are predictive of ADHF outcomes.

An m-Health intervention to improve education, self-management, and outcomes in patients admitted for acute decompensated heart failure: barriers to effective implementation.

Aims: Effective and efficient education and patient engagement are fundamental to improve health outcomes in heart failure (HF). The use of artificial intelligence (AI) to enable more effective delivery of education is becoming more widespread for a range of chronic conditions. We sought to determine whether an avatar-based HF-app could improve outcomes by enhancing HF knowledge and improving patient quality of life and self-care behaviour. Methods and results: In a randomized controlled trial of patients admitted for acute decompensated HF (ADHF), patients at high risk (≥33%) for 30-day hospital readmission and/or death were randomized to usual care or training with the HF-app. From August 2019 up until December 2020, 200 patients admitted to the hospital for ADHF were enrolled in the Risk-HF study. Of the 72 at high-risk, 36 (25 men; median age 81.5 years; 9.5 years of education; 15 in NYHA Class III at discharge) were randomized into the intervention arm and were offered education involving an HF-app. Whilst 26 (72%) could not use the HF-app, younger patients [odds ratio (OR) 0.89, 95% confidence interval (CI) 0.82-0.97; P < 0.01] and those with a higher education level (OR 1.58, 95% CI 1.09-2.28; P = 0.03) were more likely to enrol. Of those enrolled, only 2 of 10 patients engaged and completed ≥70% of the program, and 6 of the remaining 8 who did not engage were readmitted. Conclusions: Although AI-based education is promising in chronic conditions, our study provides a note of caution about the barriers to enrolment in critically ill, post-acute, and elderly patients.

Cognitive impairment as a determinant of response to management plans after heart failure admission.

AIMS: Cognitive impairment (CI) is highly prevalent in heart failure (HF), and increases patients' risks of readmission. This study sought to determine whether the presence and degree of CI could identify patients most likely to benefit from a HF disease management programme (DMP) to reduce readmissions. METHODS AND RESULTS: A total of 1152 consecutive Australian patients admitted with HF (2014-2017) were prospectively followed up for 12 months. Of these, 324 patients who received DMP (1-month duration, including post-discharge home visits, medication reconciliation, exercise guidance and early clinical review) were matched (1:2 ratio) with 648 usual care patients. Cognitive function was assessed either on the day of or one day before discharge using the Montreal Cognitive Assessment (MoCA). Outcomes included readmission or death at 1, 3 and 12 months, and days at home within 12 months of discharge. Poorer cognitive function was associated with all adverse outcomes. Compared with usual care, DMP was associated with lower odds of 30-day [odds ratio (OR) 0.60, 95% confidence interval 0.40, 0.91] and 90-day (OR 0.53, 95% confidence interval 0.36, 0.77) readmission or death, and with 19 more days at home within 12 months, independent of HF therapy. The effect sizes of these associations were greater for patients with diminished cognition than those with normal cognition (interaction P = 0.036), and might have been more pronounced among those with mild CI compared with those with more severe CI (MoCA score 17-22; OR 0.42, 95% confidence interval 0.21, 0.87) at 30 days (OR 0.31, 95% confidence interval 0.16, 0.60 at 90 days). Patients with normal cognition had fewer events, irrespective of DMP. CONCLUSIONS: Cognitive function may determine how HF patients respond to a DMP. Cognitive screening before implementation of a DMP may allow personalized plans for patients with different levels of cognitive function.