Evidence map›Paper›PMID 40510070›Full record

ArticleCureus2025

Blood Pressure Management Using the Hypotension Prediction Index During Paraganglioma Resection: A Case Report.

Airi Akashi, Yohei Ono, Tetsuya Shimada, Tetsuya Takahashi, Takahiko Ikeda

Abstract readCase Reports
In one paragraph

Article in Cureus, 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Airi AkashiAnesthesiology, National Defense Medical College, Tokorozawa, JPN.
Yohei OnoBiostatistics and Bioinformatics, St. Luke's International University Graduate School of Public Health, Tokyo, JPN.
Tetsuya ShimadaAnesthesiology, National Defense Medical College, Tokorozawa, JPN.
Tetsuya TakahashiAnesthesiology, National Defense Medical College, Tokorozawa, JPN.
Takahiko IkedaAnesthesiology, National Defense Medical College, Tokorozawa, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pheochromocytomas and paragangliomas are uncommon neuroendocrine tumors that present notable anesthetic challenges, especially in controlling blood pressure. The Hypotension Prediction Index (HPI) can be used for intraoperative hemodynamic monitoring and management. Here, we report the case of a 46-year-old woman diagnosed with paraganglioma who underwent laparoscopic retroperitoneal resection guided by a monitoring system with HPI. Overall, mean arterial pressure (MAP) and HPI displayed an inverted relationship during the anesthesia induction period and subsequent phases of the procedure. Her MAP, initially around 90 mmHg, reached 120-150 mmHg while intubated and during tumor manipulation, and thus intermittent doses of phentolamine were necessary to control hypertensive events. MAP then declined following ligation of the tumor's feeding vessels, accompanied by a corresponding rise in HPI values. Intraoperative hypotension was managed by HPI-based protocols, resulting in a very low time-weighted average-MAP (TWA-MAP) below 65 mmHg of 0.007 mmHg. While the minimum cross-correlation value between HPI and MAP occurred at a time lag of zero, indicating no delay between HPI and MAP, we found HPI alerted 3 to 17 minutes before MAP reached below 65 mmHg. We could add a new insight into the interpretation of cross-correlation analysis, that no time delay between HPI and MAP might not necessarily mean the predictive ability of HPI was low. Whereas this case highlights the potential of the HPI in mitigating intraoperative hypotension, future research is necessary to evaluate its predictive accuracy during paragangliomas resection.

Indexed as

blood pressurecross-correlation analysishypotension prediction indexintraoperative hypotensionparaganglioma

Identifiers

PMID40510070
PMCPMC12159559

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