Redefining hemodynamic instability in pheochromocytoma surgery through latent class analysis
Authors' conclusion
This study proposes a reproducible and objective classification of intraoperative HDI in pheochromocytoma surgery based on MAP-derived LCA.
Study context
- Population
- Patients undergoing pheochromocytoma surgical resection; hemodynamic variables at 5 intraoperative time points
- Participants
- 92 patients
- Exposure
- 4 latent class analysis (LCA) models of intraoperative hemodynamic instability (HDI)
- h-HDIn = 32
- l-HDIn = 60reference
- Outcome
- Optimal data-driven classification of intraoperative HDI (model selection by AIC and BIC)
Methodological detailslatent class analysis
- Latent class analysis
Main finding
As reported in the abstract
Optimal LCA classification of HDI
- Best classification: LCA model based solely on intraoperative mean arterial pressure (MAP), AIC
- 3783
- Best classification: LCA model based solely on intraoperative MAP, BIC
- 3824
Observational data: associations, not effects.
Further findings
MAP during anesthesia induction
P < 0.001
MAP during pneumoperitoneum induction
P = 0.002
MAP during gland manipulation
P < 0.001
MAP immediately post-adrenal vein ligation
P = 0.039
Factors associated with HDI (multivariable logistic regression)
- Age, OR per year
- 1.04 (95% CI 1.01-1.02; P = .047)
- Symptomatic presentation, OR
- 15.35 (95% CI 4.19-56.2; P < .001)
- Estimate for age outside its printed CI
Original publication
Redefining hemodynamic instability in pheochromocytoma surgery through latent class analysis. Eur J Endocrinol. Published 29 September 2025. doi:10.
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