Measuring congestion with a non‐invasive monitoring device in heart failure and haemodialysis: CONGEST‐HF

Author:

Curtain James P.12,Talebi Atefeh1,McIntosh Alasdair3,McConnachie Alex3,O'Donnell Joanne3,Welsh Paul1,Osmanska Joanna1,Lee Matthew M.Y.1,Sonecki Piotr4,Akl Tony5,Seo Joohyun5,Gopinathan Venugopal5,Hurwitz Jed6,Thiagarajan Srikanth5,Pettit Stephen7,Kalra Paul R.8,Patel Rajan K.9,Mark Patrick B.1,Lang Ninian N.1,McMurray John J.V.1,Petrie Mark C.1,Gardner Roy S.110,Jhund Pardeep S.1ORCID

Affiliation:

1. BHF Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health University of Glasgow Glasgow UK

2. St James Hospital Dublin Ireland

3. Robertson Centre for Biostatistics, School of Health and Wellbeing University of Glasgow Glasgow UK

4. Department of Cardiology Queen Elizabeth University Hospital Glasgow UK

5. Analog Devices Inc Wilmington MA USA

6. Analog Devices Ltd Edinburgh UK

7. Transplant Unit Royal Papworth Hospital Cambridge UK

8. Department of Cardiology Portsmouth Hospitals University NHS Trust Portsmouth UK

9. Glasgow Renal and Transplant Unit Queen Elizabeth University Hospital Glasgow UK

10. Scottish National Advanced Heart Failure Service Golden Jubilee National Hospital Clydebank UK

Abstract

AimsWe examined the effectiveness of a novel cardiopulmonary management wearable sensor (worn for less than 5 mins) at measuring congestion and correlated the device findings with established clinical measures of congestion.Methods and resultsWe enrolled three cohorts of patients: (1) patients with heart failure (HF) receiving intravenous diuretics in hospital; (2) patients established on haemodialysis, and (3) HF patients undergoing right heart catheterization (RHC). The primary outcomes in the respective cohorts were a Spearman correlation between (1) change in weight and change in thoracic impedance (TI) (from enrolment, 24 h after admission to discharge) in patients hospitalized for HF; (2) lung ultrasound B‐lines and volume removed during dialysis with device measured TI, and (3) pulmonary capillary wedge pressure (PCWP) and sub‐acoustic diastolic, third heart sound (S3) in the patients undergoing RHC. A total of 66 patients were enrolled. In HF patients (n = 25), change in weight was correlated with both change in device TI (Spearman correlation [rsp] = −0.64, p = 0.002) and change in device S3 (rsp = −0.53, p = 0.014). In the haemodialysis cohort (n = 21), B‐lines and TI were strongly correlated before (rsp = −0.71, p < 0.001) and after (rsp = −0.77, p < 0.001) dialysis. Volume of fluid removed by dialysis was correlated with change in device TI (rsp = 0.49, p = 0.024). In the RHC cohort (n = 20), PCWP measured at one time point and device S3 were not significantly correlated (rsp = 0.230, p = 0.204). There were no device‐related adverse events.ConclusionsA non‐invasive device was able to detect changes in congestion in patients with HF receiving decongestion therapy and patients having fluid removed at haemodialysis. The cardiopulmonary management device, which measures multiple parameters, is a potentially useful tool to monitor patients with HF to prevent hospitalizations.

Funder

Analog Devices

Publisher

Wiley

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