Intraoperative Hypotension Prediction System by Considering Personal Lifestyle and Medical History

Intraoperative hypotension may occur during surgery, depending on the patient's condition and the amount of anesthetics administered. Intraoperative hypotension causes adverse events such as myocardial infarction, acute kidney injury, and stroke, which may affect patient prognosis and should be avoided. However, it is challenging to predict intraoperative hypotension before surgery. Therefore, the authors propose a system that predicts the occurrence of intraoperative hypotension with higher accuracy than existing studies to help preventing intraoperative hypotension. Specifically, the occurrence of intraoperative hypotension is predicted by using information about personal lifestyle and medical history obtained from the pre-anesthesia questionnaire in addition to the patients' baseline characteristics such as age and gender that have already been used. The authors constructed prediction model, that predicted intraoperative hypotension with an F-measure of 0.724.

[1]  Other Contributors Are Indicated Where They Contribute Python Software Foundation , 2017 .

[2]  D. Reuter,et al.  Post-induction hypotension and early intraoperative hypotension associated with general anaesthesia , 2017, British journal of anaesthesia.

[3]  Aixia Guo,et al.  Gene Selection for Cancer Classification using Support Vector Machines , 2014 .

[4]  A. Garg,et al.  Relationship between Intraoperative Mean Arterial Pressure and Clinical Outcomes after Noncardiac Surgery: Toward an Empirical Definition of Hypotension , 2013, Anesthesiology.

[5]  A. Slooter,et al.  Intraoperative hypotension and the risk of postoperative adverse outcomes: a systematic review , 2018, British journal of anaesthesia.

[6]  Karel G M Moons,et al.  Incidence of Intraoperative Hypotension as a Function of the Chosen Definition: Literature Definitions Applied to a Retrospective Cohort Using Automated Data Collection , 2007, Anesthesiology.

[7]  Hiroshi Shigeno,et al.  Prediction of Post-induction Hypotension Using Stacking Method , 2019, 2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU).

[8]  Jing Wang,et al.  Supervised Machine-learning Predictive Analytics for Prediction of Postinduction Hypotension , 2018, Anesthesiology.

[9]  J. Rinehart,et al.  Machine-learning Algorithm to Predict Hypotension Based on High-fidelity Arterial Pressure Waveform Analysis , 2018, Anesthesiology.

[10]  Hiroshi Shigeno,et al.  Proposal of Anesthetic Dose Prediction Model to Avoid Post-induction Hypotension Using Electronic Anesthesia Records , 2019, 2019 Twelfth International Conference on Mobile Computing and Ubiquitous Network (ICMU).

[11]  Dongsheng Yang,et al.  Relationship between Intraoperative Hypotension, Defined by Either Reduction from Baseline or Absolute Thresholds, and Acute Kidney and Myocardial Injury after Noncardiac Surgery: A Retrospective Cohort Analysis , 2017, Anesthesiology.

[12]  D. Reich,et al.  Predictors of Hypotension After Induction of General Anesthesia , 2005, Anesthesia and analgesia.