Telehealth‐aided outpatient management of acute heart failure in a specialist virtual ward compared with standard care

Author:

Sankaranarayanan Rajiv1234ORCID,Rasoul Debar12ORCID,Murphy Naomi1,Kelly AnneMarie1,Nyjo Siji1,Jackson Carolyn1,O'Connor Jane1,Almond Peter5,Jose Nisha6,West Jenni7,Kaur Rosie8,Oguguo Chukwemeka1,Douglas Homeyra1,Lip Gregory Y.H.129ORCID

Affiliation:

1. Liverpool University Hospitals NHS Foundation Trust, Aintree Hospital Liverpool UK

2. Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital Liverpool UK

3. GIRFT (Getting It Right First Time) NHS England London UK

4. North West Coast Cardiac Clinical Network NHS England London UK

5. Mersey Care NHS Foundation Trust Liverpool UK

6. Health Technology and Access Services, Community Services Division Mersey Care NHS Foundation Trust Liverpool UK

7. Health Innovation North West Coast Academic Health Sciences Network Liverpool UK

8. CCIO Medical Lead for Remote Monitoring Cheshire and Merseyside Mersey Care NHS Foundation Trust Liverpool UK

9. Danish Center for Health Services Research, Department of Clinical Medicine, Aalborg University Aalborg Denmark

Abstract

AbstractAimsThe aim of this propensity score matched cohort study was to assess the outcomes of telehealth‐guided outpatient management of acute heart failure (HF) in our virtual ward (HFVW) compared with hospitalized acute HF patients.Methods and resultsThis cohort study (May 2022–October 2023) assessed outcomes of telehealth‐guided outpatient acute HF management using bolus intravenous furosemide in a HF‐specialist VW. Propensity score matching (PSM) was performed using logistic regression to adjust for potential differences in baseline patient characteristics between HFVW and standard care [Get With The Guidelines‐HF score, clinical frailty score (CFS), Charlson co‐morbidity index (CCI), NT‐proBNP, and ejection fraction]. Clinical outcomes (re‐hospitalizations and mortality) were compared at 1, 3, 6, and 12 months versus standard care‐SC (acute HF patients managed without telehealth in 2021). Five hundred fifty‐four HFVW ADHF patients (age 73.1 ± 10.9 years; 46% female) were compared with 404 ADHF patients (74.2 ± 11.8; P = 0.15 and 49% female) in the standard care‐SC cohort. After propensity score matching for baseline patient characteristics, re‐hospitalizations were significantly lower in the HFVW compared with SC (1 month‐HFVW 8.6% vs. SC‐21.5%, P < 0.001; 3 months‐21% vs. 30%, P = 0.003; 6 months‐28% vs 41%, P < 0.001 and 12 months‐47% vs. 57%, P = 0.005) and mortality was also lower at 1 month (5% vs. 13.7%; P < 0.001), 3 months (9.5% vs. 15%; P = 0.001), 6 months (15% vs. 21%; P = 0.03), and 12 months (20% vs. 26%; P = 0.04). Multivariate logistic regression analysis showed that compared with standard care, HFVW management was associated with lower odds of readmission (1‐month odds ratio (OR) = 0.3 [95% Confidence Interval CI 0.2–0.5], P < 0.0001; 3 month OR = 0.15 [0.1–0.3], P < 0.0001; 6‐month OR = 0.35 [0.2–0.6], P = 0.0002; 12‐month OR = 0.25 [0.15–0.4], P ≤ 0.001 and mortality (1‐month OR = 0.26 [0.14–0.48], P < 0.0001; 3‐month OR = 0.11 [0.04–0.27], P < 0.0001; 6‐month OR = 0.35, [0.2; 0.61], P = 0.0002; 12‐month OR = 0.6 [0.48; 0.73], P = 0.03. Higher GWTG‐HF score independently predicted increased odds of re‐hospitalization (1‐month OR = 1.2 [1.1–1.3], P < 0.001; 3‐month OR = 1.5 [1.37; 1.64], P < 0.0001; 6‐month OR = 1.3 [1.2–1.4], P < 0.0001; 12‐month OR = 1.1 [1.05–1.2], P = 0.03) as well as mortality (1‐month OR = 1.21 [1.1–1.3], P < 0.0001; 3‐month OR = 1.3 [1.2–1.4], P < 0.0001; 6‐month OR = 1.2 [1.1–1.3], P < 0.0001; 12‐month OR = 1.3 [1.1–1.7], P = 0.02). Similarly higher CFS also independently predicted increased odds of re‐hospitalizations (1‐month OR = 1.9 [1.5–2.4], P < 0.0001; 3‐month OR = 1.8 [1.3–2.4], P = 0.0003; 6‐month OR = 1.4 [1.1–1.8], P = 0.015; 12‐month OR 1.9 [1.2–3], P = 0.01]) and mortality (1‐month OR = 2.1 [1.6–2.8], P < 0.0001; 3‐month OR = 1.8 [1.2–2.6], P = 0.006; 6‐month OR = 2.34 [1.51–5.6], P = 0.0001; 12‐month OR = 2.6 [1.6–7], P = 0.02). Increased daily step count while on HFVW independently predicted reduced odds of re‐hospitalizations (1‐month OR = 0.85[0.7–0.9], P = 0.005), 3‐month OR = 0.95 [0.93–0.98], P = 0.003 and 1‐month mortality (OR = 0.85 [0.7–0.95], P = 0.01), whereas CCI predicted adverse 12‐month outcomes (OR = 1.2 [1.1–1.4], P = 0.03).ConclusionsTelehealth‐guided specialist HFVW management for ADHF may offer a safe and efficacious alternative to hospitalization in suitable patients. Daily step count in HFVW can help predict risk of short‐term adverse clinical outcomes.

Publisher

Wiley

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