Prediction of intraoperative hypotension using deep learning models based on non-invasive monitoring devices

Author:

Jeong Heejoon,Kim Donghee,Kim Dong Won,Baek Seungho,Lee Hyung-Chul,Kim Yusung,Ahn Hyun Joo

Funder

Sungkyunkwan University

Publisher

Springer Science and Business Media LLC

Reference22 articles.

1. Walsh M, Devereaux PJ, Garg AX, Kurz A, Turan A, Rodseth RN, Cywinski J, Thabane L, Sessler DI. Relationship between intraoperative mean arterial pressure and clinical outcomes after noncardiac surgery: toward an empirical definition of hypotension. Anesthesiology. 2013;119:507–15. https://doi.org/10.1097/ALN.0b013e3182a10e26.

2. An R, Pang QY, Liu HL. Association of intra-operative hypotension with acute kidney injury, myocardial injury and mortality in non-cardiac surgery: a meta-analysis. Int J Clin Pract. 2019;73:e13394. https://doi.org/10.1111/ijcp.13394.

3. Vernooij LM, van Klei WA, Machina M, Pasma W, Beattie WS, Peelen LM. Different methods of modelling intraoperative hypotension and their association with postoperative complications in patients undergoing non-cardiac surgery. Br J Anaesth. 2018;120:1080–9. https://doi.org/10.1016/j.bja.2018.01.033.

4. Hatib F, Jian Z, Buddi S, Lee C, Settels J, Sibert K, Rinehart J, Cannesson M. Machine-learning Algorithm to Predict Hypotension based on high-fidelity arterial pressure Waveform Analysis. Anesthesiology. 2018;129:663–74. https://doi.org/10.1097/ALN.0000000000002300.

5. Wijnberge M, Geerts BF, Hol L, Lemmers N, Mulder MP, Berge P, Schenk J, Terwindt LE, Hollmann MW, Vlaar AP, Veelo DP. Effect of a machine learning-derived early warning system for Intraoperative Hypotension vs Standard Care on depth and duration of intraoperative hypotension during elective noncardiac surgery: the HYPE randomized clinical trial. JAMA. 2020;323:1052–60. https://doi.org/10.1001/jama.2020.0592.

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