Evidence map›Paper›PMID 39482586›Full record

ArticleBMC anesthesiology2024

Intraoperative short-term blood pressure variability and postoperative acute kidney injury: a single-center retrospective cohort study using sample entropy analysis.

Ryan Folks, Siny Tsang, Donald E Brown, Zachary D Blanks, Nazanin Moradinasab, Michael Mazzeffi, Bhiken I Naik

Abstract read
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In one paragraph

Article in BMC anesthesiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Trial
  2. A Dynamic Online Nomogram for Predicting Postoperative Acute Kidney Injury After Sleeve Gastrectomy.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ryan FolksDepartment of Anesthesiology, University of Virginia, 1 Hospital Dr, Box # 4748, 1215 Lee Street, Charlottesville, VA, 22903, USA.
Siny TsangDepartment of Anesthesiology, University of Virginia, 1 Hospital Dr, Box # 4748, 1215 Lee Street, Charlottesville, VA, 22903, USA.
Donald E BrownSchool of Data Science, University of Virginia, Charlottesville, USA.
Zachary D BlanksSchool of Data Science, University of Virginia, Charlottesville, USA.
Nazanin MoradinasabDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, USA.
Michael MazzeffiDepartment of Anesthesiology, University of Virginia, 1 Hospital Dr, Box # 4748, 1215 Lee Street, Charlottesville, VA, 22903, USA.
Bhiken I NaikDepartment of Anesthesiology, University of Virginia, 1 Hospital Dr, Box # 4748, 1215 Lee Street, Charlottesville, VA, 22903, USA. bin4n@uvahealth.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate if intraoperative very short-term variability in blood pressure measured by sample entropy improves discrimination of postoperative acute kidney injury after noncardiac surgery.

methodsAdult surgical patients undergoing general, thoracic, urological, or gynecological surgery between August 2016 to June 2017 at Seoul National University Hospital were included. The primary outcome was acute kidney injury stage 1, defined by the Kidney Disease: Improving Global Outcomes guidelines. Exploratory and explanatory variables included sample entropy of the mean arterial pressure and standard demographic, surgical, anesthesia and hypotension over time indices known to be associated with acute kidney injury respectively. Random forest classification and L1 logistic regression were used to assess four models for discriminating acute kidney injury: (1) Standard risk factors which included demographic, anesthetic, and surgical variables (2) Standard risk factors and cumulative hypotension over time (3) Standard risk factors and sample entropy (4) Standard risk factors, cumulative hypotension over time and sample entropy.

resultsTwo hundred and thirteen (7.4%) cases developed postoperative acute kidney injury. The median and interquartile range for sample entropy of mean arterial pressure was 0.34 and [0.26, 0.42] respectively. C-statistics were identical between the random forest and L1 logistic regression models. Results demonstrated no improvement in discrimination of postoperative acute kidney injury with the addition of the sample entropy of mean arterial pressure: Standard risk factors: 0.81 [0.76, 0.85], Standard risk factors and hypotension over time indices: 0.80 [0.75, 0.85], Standard risk factors and sample entropy of mean arterial pressure: 0.81 [0.76, 0.85] and Standard risk factors, sample entropy of mean arterial pressure and hypotension over time indices: 0.81 [0.76, 0.86].

conclusionAssessment of very short-term blood pressure variability does not improve the discrimination of postoperative acute kidney injury in patients undergoing non-cardiac surgery in this sample.

Indexed as

Acute Kidney InjuryBlood PressurePostoperative ComplicationsAdultAgedCohort StudiesEntropyFemaleHumansHypotensionMaleMiddle AgedMonitoring, IntraoperativeRetrospective StudiesRisk FactorsAcute Kidney InjuryBlood pressure variabilityIntraoperative hypotensionSample Entropy

Identifiers

PMID39482586
PMCPMC11526531

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.