Assessing the Impact of Prolonged Averaging of Coronary Continuous Thermodilution Traces

Author:

Fawaz Samer12ORCID,Munhoz Daniel34ORCID,Mahendiran Thabo35ORCID,Gallinoro Emanuele36ORCID,Mizukami Takuya37,Khan Sarosh A.12ORCID,Simpson Rupert F. G.12,Svanerud Johan8,Cook Christopher M.12,Davies John R.12,Karamasis Grigoris V.9ORCID,De Bruyne Bernard35,Keeble Thomas R.12ORCID

Affiliation:

1. Essex Cardiothoracic Centre, Basildon Hospital, Nether Mayne, Basildon SS16 5NL, UK

2. Medical Technology Research Centre (MTRC), Anglia-Ruskin University, Chelmsford CM1 1SQ, UK

3. Cardiovascular Center Aalst, OLV Clinic, 9300 Aalst, Belgium

4. Department of Advanced Biomedical Sciences, University Federico II, 80138 Naples, Italy

5. Lausanne University Hospital, 1005 Lausanne, Switzerland

6. Division of University Cardiology, IRCCS Ospedale Galeazzi Sant’Ambrogio, 20157 Milan, Italy

7. Division of Clinical Pharmacology, Department of Pharmacology, Showa University, Tokyo 142-0064, Japan

8. Coroventis Research AB, 756 51 Uppsala, Sweden

9. School of Medicine, Attikon University Hospital, National and Kapodistrian University of Athens, 157 72 Athens, Greece

Abstract

Continuous Thermodilution is a novel method of quantifying coronary flow (Q) in mL/min. To account for variability of Q within the cardiac cycle, the trace is smoothened with a 2 s moving average filter. This can sometimes be ineffective due to significant heart rate variability, ventricular extrasystoles, and deep inspiration, resulting in a fluctuating temperature trace and ambiguity in the location of the “steady state”. This study aims to assess whether a longer moving average filter would smoothen any fluctuations within the continuous thermodilution traces resulting in improved interpretability and reproducibility on a test–retest basis. Patients with ANOCA underwent repeat continuous thermodilution measurements. Analysis of traces were performed at averages of 10, 15, and 20 s to determine the maximum acceptable average. The maximum acceptable average was subsequently applied as a moving average filter and the traces were re-analysed to assess the practical consequences of a longer moving average. Reproducibility was then assessed and compared to a 2 s moving average. Of the averages tested, only 10 s met the criteria for acceptance. When the data was reanalysed with a 10 s moving average filter, there was no significant improvement in reproducibility, however, it resulted in a 12% diagnostic mismatch. Applying a longer moving average filter to continuous thermodilution data does not improve reproducibility. Furthermore, it results in a loss of fidelity on the traces, and a 12% diagnostic mismatch. Overall, current practice should be maintained.

Publisher

MDPI AG

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