# Intraoperative hypotension trajectories and their predictive value for major postoperative complications: a retrospective cohort study

**Authors:** Yingbo Ren, Chang Liu, Xin Wang, Mengwei Zhang, Hongyan Li

PMC · DOI: 10.3389/fmed.2025.1739832 · Frontiers in Medicine · 2026-01-14

## TL;DR

This study shows that different patterns of low blood pressure during surgery predict major complications, with prolonged or fluctuating patterns being most risky.

## Contribution

The study introduces trajectory-based hemodynamic profiling to improve prediction of postoperative complications beyond standard metrics.

## Key findings

- Prolonged or fluctuating hypotension during surgery was linked to a 30.7% complication rate, significantly higher than transient cases.
- Trajectory classification improved prediction accuracy with an AUC of 0.860 compared to 0.578 with conventional measures.
- Trajectory-based models showed better calibration and net clinical benefit in predicting postoperative complications.

## Abstract

Intraoperative hypotension (IOH) is a common hemodynamic disturbance during major non-cardiac surgery, yet the prognostic significance of different temporal blood pressure patterns remains unclear. This study aimed to identify distinct IOH trajectories using group-based trajectory modeling (GBTM) and to evaluate their independent and incremental predictive value for major postoperative complications in high-risk surgical patients.

We conducted a retrospective cohort study of 789 adults undergoing elective major abdominal, urologic, or gynecologic surgery between January 2018 and December 2023. Continuous invasive minute-by-minute mean arterial pressure (MAP) recordings were extracted from the anesthesia information management system. IOH was defined as MAP <65 mmHg. GBTM modeled MAP over absolute intraoperative time using polynomial time functions to identify three latent IOH trajectories based on duration and recurrence: transient mild (<10 min), moderate sustained (10–30 min), and prolonged/fluctuating (>30 min or ≥3 episodes). The primary composite outcome included acute kidney injury, postoperative delirium, unplanned ICU admission within 48 h, and 30-day all-cause mortality. Associations were examined using multivariable logistic regression, and predictive performance was evaluated using ROC curves, calibration, bootstrap internal validation, and decision curve analysis.

A clear exposure-response relationship was observed across trajectory groups: the primary composite complication occurred in 13.4% of patients in the transient mild group, 20.8% in the moderate sustained group, and 30.7% in the prolonged/fluctuating group (p for trend <0.001). Compared with transient mild hypotension, adjusted odds ratios were 1.58 (95% CI 1.03–2.43) for moderate sustained and 2.42 (95% CI 1.54–3.80) for prolonged/fluctuating trajectories. Incorporating trajectory classification into a clinical model markedly improved discrimination (AUC 0.860 vs. 0.578), calibration, and net clinical benefit compared with conventional IOH measures alone.

Distinct intraoperative hypotension trajectories derived from high-resolution arterial pressure data were strongly and independently associated with major postoperative complications and substantially enhanced predictive accuracy beyond standard IOH metrics. Trajectory-based hemodynamic profiling may support individualized blood pressure management and early perioperative risk stratification.

## Linked entities

- **Diseases:** acute kidney injury (MONDO:0002492)

## Full-text entities

- **Diseases:** postoperative delirium (MESH:D000071257), acute kidney injury (MESH:D058186), IOH (MESH:D007022), postoperative (MESH:D019106)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

28 references — full list in the complete paper: https://tomesphere.com/paper/PMC12847311/full.md

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Source: https://tomesphere.com/paper/PMC12847311