Reducing Intraoperative Hypotension Using a Machine Learning-Derived Early Warning System

Affiliations

Comment

Christian de Tymowski et al. JAMA. 2020.

. 2020 Aug 25;324(8):806-807.

doi: 10.1001/jama.2020.9049.

¹ Department of Anaesthesiology and Surgical Intensive Care Unit, Groupe Hospitalier Bichat Claude Bernard, Paris, France.

No abstract available

Comment in

Reducing Intraoperative Hypotension Using a Machine Learning-Derived Early Warning System-Reply.
Geerts BF, Vlaar AP, Veelo DP. Geerts BF, et al. JAMA. 2020 Aug 25;324(8):807-808. doi: 10.1001/jama.2020.9064. JAMA. 2020. PMID: 32840591 No abstract available.

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.
Wijnberge M, Geerts BF, Hol L, Lemmers N, Mulder MP, Berge P, Schenk J, Terwindt LE, Hollmann MW, Vlaar AP, Veelo DP. Wijnberge M, et al. JAMA. 2020 Mar 17;323(11):1052-1060. doi: 10.1001/jama.2020.0592. JAMA. 2020. PMID: 32065827 Free PMC article. Clinical Trial.