Key result
A multivariable clinical model predicts clinically important postoperative hypotension with a 0.73 C-statistic.
Why the study?
Postoperative hypotension contributes substantially to organ injury risk after noncardiac surgery, creating a need for a clinical prediction model to identify patients at risk.
Can a clinical prediction model accurately estimate the risk of postoperative clinically important hypotension in patients aged ≥45 years undergoing noncardiac surgery?
Cohort (n=40,004)
Yes
Can a clinical prediction model accurately estimate the risk of postoperative clinically important hypotension in patients aged ≥45 years undergoing noncardiac surgery?
Effect estimate: C-statistic 0.73
A newly derived and validated clinical prediction model can estimate the risk of clinically important postoperative hypotension in patients undergoing noncardiac surgery with moderate discrimination.
May aid preoperative risk stratification in noncardiac surgery; leaves open whether implementation improves outcomes.
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.
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Yang et al. (2025) conducted a cohort in Postoperative clinically important hypotension (n=40,004). Clinical prediction model (41-variable and 4-variable) was evaluated on Postoperative clinically important hypotension (systolic blood pressure ≤90 mm Hg resulting in clinical intervention) (C-statistic 0.73). A 41-variable clinical prediction model and a simplified 4-variable model predicted the risk of clinically important postoperative hypotension with C-statistics of 0.73 and 0.68, respectively.
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