Diastolic Versus Systolic or Mean Intraoperative Hypotension as Predictive of Perioperative Myocardial Injury in a White-Box Machine-Learning Model

We found that an absolute, not relative, IOH threshold based on diastolic arterial pressure, and not systolic or mean arterial pressure, or tachycardia, was most predictive of PMI.

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Publication Details

Journal
Anesthesia & Analgesia
Published
2025-02-20
DOI
https://doi.org/10.1213/ane.0000000000007379
Citations
4
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
5.55

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article

Diastolic Versus Systolic or Mean Intraoperative Hypotension as Predictive of Perioperative Myocardial Injury in a White-Box Machine-Learning Model

Arman Valadkhani, Ayda Rohi, Caroline Hällsjö Sander, Max Bell et al.
4 citations
Anesthesia & Analgesia
Cardiac, Anesthesia and Surgical Outcomes
5.55
article

Diastolic Versus Systolic or Mean Intraoperative Hypotension as Predictive of Perioperative Myocardial Injury in a White-Box Machine-Learning Model

Arman Valadkhani, Ayda Rohi, Caroline Hällsjö Sander, Max Bell, G. Cauli, Martin Jacobsson, Anil Gupta, Johan Nordström, Panos Tufexis
article en
4 citations

Abstract

We found that an absolute, not relative, IOH threshold based on diastolic arterial pressure, and not systolic or mean arterial pressure, or tachycardia, was most predictive of PMI.

Anesthesia & AnalgesiaVol. 141(1)
Karolinska University Hospital (SE), Karolinska Institutet (SE), KTH Royal Institute of Technology (SE)
Hjärt-Lungfonden
Openalex Percentile: Top 4%
Cardiac, Anesthesia and Surgical Outcomes
5.55
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