Published in:
12-07-2023 | Original Research
Arterial blood pressure waveform in liver transplant surgery possesses variability of morphology reflecting recipients’ acuity and predicting short term outcomes
Authors:
Shen-Chih Wang, Chien-Kun Ting, Cheng-Yen Chen, Chinsu Liu, Niang-Cheng Lin, Che-Chuan Loong, Hau-Tieng Wu, Yu-Ting Lin
Published in:
Journal of Clinical Monitoring and Computing
|
Issue 6/2023
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Abstract
We
investigated clinical information underneath the beat-to-beat fluctuation of the
arterial blood pressure (ABP) waveform morphology. We proposed the Dynamical
Diffusion Map algorithm (DDMap) to quantify the variability of morphology.
The underlying physiology could be the
compensatory mechanisms involving complex interactions between various
physiological mechanisms to regulate the cardiovascular system. As a liver
transplant surgery contains distinct periods, we investigated its clinical behavior
in different surgical steps. Our study used DDmap algorithm, based on
unsupervised manifold learning, to obtain a quantitative index for the beat-to-beat
variability of morphology. We examined the correlation between the variability
of ABP morphology and disease acuity as indicated by Model for End-Stage Liver
Disease (MELD) scores, the postoperative laboratory data, and 4 early allograft
failure (EAF) scores. Among the 85 enrolled patients, the variability of
morphology obtained during the presurgical phase was best correlated with MELD-Na
scores. The neohepatic phase variability of morphology was associated with EAF
scores as well as postoperative bilirubin levels, international normalized
ratio, aspartate aminotransferase levels, and platelet count. Furthermore, variability
of morphology presents more associations with the above clinical conditions
than the common BP measures and their BP variability indices. The variability
of morphology obtained during the presurgical phase is indicative of patient
acuity, whereas those during the neohepatic phase are indicative of short-term
surgical outcomes.