Evidence map›Paper›PMID 40301710›Full record

Observational studyBMC anesthesiology2025

Hypotension prediction index: comparison between invasive and non-invasive pressure inputs.

Kamron Sarhadi, Justin Hamman, Jorge Avila, Zhongping Jian, Neal W Fleming

Registry-linked trialAbstract readComparative StudyObservational Study
In one paragraph

Observational study in BMC anesthesiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05025176 (Hypotension Prediction Index), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05025176 active not recruitingnot on this map

Hypotension Prediction Index: Correlations Between Invasive and Non-invasive Pressure Points

TypeobservationalSponsorUniversity of California, DavisRan2021 to 2026Enrolled50ConditionsHypotensionArmsNon invasive arterial pressure monitoring
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kamron SarhadiDepartment of Anesthesia & Perioperative Care, University of California, San Francisco, San Francisco, CA, USA.
Justin HammanDepartment of Anesthesiology & Pain Medicine, University of California, Davis School of Medicine, 4150 V Street PSSB- Suite1200, Sacramento, CA, 95817-1460, USA.
Jorge AvilaSutter Medical Center, Sacramento, CA, USA.
Zhongping JianEdwards LifeSciences Critical Care, Irvine, CA, USA.
Neal W FlemingDepartment of Anesthesiology & Pain Medicine, University of California, Davis School of Medicine, 4150 V Street PSSB- Suite1200, Sacramento, CA, 95817-1460, USA. nwfleming@ucdavis.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Hypotension Prediction Index (HPI) derived using an Acumen™ arterial pressure transducer can decrease the incidence of intraoperative hypotension and possibly decrease perioperative complications. The HPI can also be obtained from the ClearSight™ continuous non-invasive blood pressure monitor. Concurrent comparison of HPI values obtained from these two pressure inputs is limited and additional comparisons could increase clinician confidence in non-invasive hemodynamic monitoring, expand its applications and improve patient outcomes.

methodsSimultaneous hemodynamics were recorded using two HemoSphere monitors with the HPI software and either intra-arterial Acumen

results6,862 paired data points were available from 36 patients. Bland-Altman comparisons demonstrated a bias of -8.4 (± 23) with limits of agreement from - 53 to 36. The correlation between HPI values was strong with an r value of 0.76 (95%CI:0.75-0.77). Concordance was also strong at 74% (10% exclusion zone). Using ROC analysis, the AUC for prediction of hypotension was similar and at 5 min was 0.883 [0.786,0.953] for the invasive pressure and 0.860 [0.770,0.939] for the non-invasive pressure inputs. At the same time points, the agreement between HPI alerts was high with an accuracy of 86.3%.

conclusionHPI values and predictive performance were comparable when derived from either invasive or non-invasive pressure inputs.

trial registrationThe study was approved by the UC Davis Institutional Review Board (IRB #1791102-1) and registered on ClinicalTrials.gov (NCT05025176) before the enrollment of the first patient.

Indexed as

Blood Pressure MonitorsHypotensionIntraoperative ComplicationsMonitoring, IntraoperativeAdultAgedBlood PressureFemaleHumansMaleMiddle AgedPredictive Value of TestsBlood pressureHypotension predictionHypotension prediction indexNon-invasive monitoring

Identifiers

PMID40301710
PMCPMC12038980

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.