Development and validation of a prediction model for hypotension after neuraxial anesthesia in preeclamptic parturients: a multicenter retrospective study.

Jie Su, Qumin Chen, Xiuhong Ye, Huan Lu

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Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 authors.

Jie Su *Department of Anesthesiology, Fuzhou Jin'an District Hospital, Fuzhou, Fujian, China.

Qumin Chen *Department of Anesthesiology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.

Xiuhong YeDepartment of Anesthesiology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China.

Huan LuDepartment of Anesthesiology, Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop and validate a multivariate prediction model for hypotension following neuraxial anesthesia in preeclamptic parturients. Methods: This multicenter retrospective study analyzed 1,402 preeclamptic parturients (gestational age ≥28 weeks) from three tertiary centers (2013-2024). After exclusions ( Results: Seven independent predictors were identified: platelet count (OR 0.920, 95%CI 0.876-0.966), sFlt-1/PlGF ratio (OR 1.039, 95%CI 1.002-1.078), baseline perfusion index (OR 0.221, 95%CI 0.101-0.485), T6 anesthesia level (OR 11.353, 95%CI 1.408-29.320), local anesthetic dose (OR 29.391, 95%CI 4.792-38.270), fetal weight (OR 1.004, Conclusion: This validated prediction model accurately stratifies hypotension risk in preeclamptic parturients receiving neuraxial anesthesia. The nomogram facilitates targeted prophylactic interventions, optimizing resource allocation and maternal hemodynamic stability.

Indexed as

hypotension predictionneuraxial anesthesianomogram validationobstetric anesthesiapreeclampsia

Identifiers

PMID41158462

DOI10.3389/fmed.2025.1649657

PMCPMC12554643

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