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Derivation and internal–external validation of clinical prediction model for postoperative clinically important hypotension in patients undergoing noncardiac surgery: an international prospective cohort study

  • Stephen Su Yang
  • , German Malaga
  • , Maria Lazo-Porras
  • , Patricia Busta-Flores
  • , Aida del Carmen Rotta-Rotta
  • , Pavel S. Roshanov
  • , Daniel I. Sessler
  • , Amal Bessissow
  • , Thomas Schricker
  • , Vicky Tagalakis
  • , Diane Heels-Ansdell
  • , Shirley Pettit
  • , P. J. Devereaux
  • McGill University
  • McGill University
  • Universidad Peruana Cayetano Heredia
  • Hospital Nacional Cayetano Heredia
  • The University of Western Ontario
  • University of Texas
  • Jewish General Hospital
  • Jewish General Hospital
  • McMaster University
  • Population Health Research Institute, Ontario

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Background: Intraoperative and postoperative hypotension are associated with myocardial injury/infarction, stroke, acute kidney injury, and death. Because of its prolonged duration, postoperative hypotension contributes more to the risk of organ injury compared with intraoperative hypotension. A prediction model for clinically important postoperative hypotension after noncardiac surgery is needed to guide clinicians. Methods: We performed a secondary analysis of the Vascular Events in Noncardiac Surgery Patients Cohort Evaluation (VISION) study. Patients aged ≥45 yr who had inpatient noncardiac surgery across 28 centres in 14 countries were included. In 14 of the centres selected at random (derivation cohort), we evaluated 49 variables using logistic regression to develop a model to predict postoperative clinically important hypotension, defined as a systolic blood pressure ≤90 mm Hg, that resulted in clinical intervention. The postoperative period was defined from the Post-Anesthesia Care Unit to hospital discharge. We then evaluated its calibration and discrimination in the other 14 centres (validation cohort). Results: Among 40 004 patients in VISION, 20 442 (51.1%) were included in the derivation cohort, and 19 562 (48.9%) patients were included in the validation cohort. The incidence of clinically important postoperative hypotension in the entire cohort was 12.4% (4959 patients). A 41-variable model predicted the risk of clinically important postoperative hypotension (bias-corrected C-statistic: 0.73, C-statistic in validation cohort: 0.72). A simplified prediction model also predicted clinically important hypotension (bias-corrected C-statistic: 0.68) based on four information items. Conclusions: Postoperative clinically important hypotension may be estimated before surgery using our primary model and a simple four-element model. Clinical trial registration: NCT00512109.

Original languageEnglish
Article number100410
JournalBJA Open
Volume14
DOIs
StatePublished - Jun 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • hypotension
  • noncardiac
  • perioperative
  • prediction model
  • surgical specialities

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