Evidence map›Paper›PMID 40057795›Full record

ArticlePerioperative medicine (London, England)2025

Exploring the predictive value of carotid Doppler ultrasound and clinical features for spinal anesthesia-induced hypotension: a prospective observational study.

Esmée C de Boer, Joris van Houte, Catarina Dinis Fernandes, Tom Bakkes, Jens Muehlsteff, R Arthur Bouwman, Massimo Mischi

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Perioperative medicine (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06711289 (Prediction of Hypotension After Spinal Anesthesia by Doppler Measurement of the Corrected Carotid Flow Time and the Peak Velocity Variation Within the Common Carotid Artery), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT06711289 completednot on this map

Prediction of Hypotension After Spinal Anesthesia by Doppler Measurement of the Corrected Carotid Flow Time and the Peak Velocity Variation Within the Common Carotid Artery

Typeobservational_patient_registrySponsorCatharina Ziekenhuis EindhovenRan2023 to 2023Enrolled44ConditionsSpinal Anesthesia-induced HypotensionArmsCarotid ultrasound measurement, Vital sign measurement, Spinal anesthesia
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

7 authors.

Esmée C de BoerDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands. e.c.d.boer@tue.nl.
Joris van HouteDepartment of Anesthesiology, Catharina Hospital, Eindhoven, The Netherlands.
Catarina Dinis FernandesDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Tom BakkesDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Jens MuehlsteffHospital Patient Monitoring, Philips Research, Eindhoven, The Netherlands.
R Arthur BouwmanDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Massimo MischiDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek 17878
6 · The paper itself

Abstract

backgroundThe induction of spinal anesthesia is often followed by hypotension, which has been associated with post-operative end-organ damage. A timely prediction of spinal anesthesia-induced hypotension (SAIH) paired with appropriate interventions may reduce the risk of adverse outcomes. This study investigated the value of carotid Doppler ultrasound measurements and clinical variables, both individually and combined, to predict SAIH.

methodsAdult patients who were scheduled for elective surgery under spinal anesthesia were included. Carotid ultrasound imaging and baseline vital sign measurements were performed pre-operatively, well in advance of the induction of spinal anesthesia. The occurrence of hypotension was observed for ten minutes after the induction of spinal anesthesia. Logistic regression models studied linear relationships within the derived set of ultrasound and clinical features, and support vector machine models evaluated nonlinear relationships.

resultsA total of 40 patients were included, and 45% of them developed SAIH. The logistic regression models performed better than the support vector machine models. The best-performing logistic regression model combined carotid ultrasound and clinical features and had a sensitivity of 75 [73-81]%, specificity of 75 [71-81]%, AUROC of 0.81 [0.75-0.95], positive predictive value of 75 [65-81]%, negative predictive value of 75 [71-88]% and F1 score of 0.75 [0.71-0.76]. The key features that were shown to predict SAIH were baseline mean arterial pressure, fasting time, ASA class, and weight.

conclusionsCombining carotid Doppler ultrasound measurements and clinical variables can predict the occurrence of SAIH.

trial registrationThe study was retrospectively registered at clinicaltrials.gov (NCT06711289) on 2 December 2024.

Indexed as

Carotid Doppler ultrasoundHypotension predictionMachine learningSpinal anesthesia-induced hypotension

Identifiers

PMID40057795
PMCPMC11890536

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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.