Observational studyJournal of clinical monitoring and computing2023
Carotid flow as a surrogate of the left ventricular stroke volume.
Observational study in Journal of clinical monitoring and computing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07488182 (The Value of Preoperative Carotid Doppler Ultrasonography Parameters in Predicting Post-Induction Hypotension in Patients Undergoing Elective Non-Cardiac Surgery), which is not on this map. Cited by 7 papers.
What it found
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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.
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.
The Value of Preoperative Carotid Doppler Ultrasonography Parameters in Predicting Post-Induction Hypotension in Patients Undergoing Elective Non-Cardiac Surgery
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Correlation between carotid Doppler ultrasound-derived parameters and cardiac output measurements: a systematic review and meta-analysis.Quantitative imaging in medicine and surgery · 2025Article
- Low Carotid Mean Flow Velocity: A Noninvasive Marker for Coronary Heart Disease-A Community-Based Study.Diagnostics (Basel, Switzerland) · 2025Article
- Recent advances in cardiorespiratory monitoring in acute respiratory distress syndrome patients.Journal of intensive care · 2024Review
- Passive leg raising test using the carotid flow velocity-time integral to predict fluid responsiveness.Journal of ultrasound · 2024Article
- The correlation between carotid artery Doppler and stroke volume during central blood volume loss and resuscitation.Acute and critical care · 2024Article
- The left ventricular outflow tract and carotid artery velocity time integrals.Frontiers in medical technology · 2024Article
- A theoretical foundation for relating the velocity time integrals of the left ventricular outflow tract and common carotid artery.Journal of clinical monitoring and computing · 2023Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transthoracic echocardiography (TTE) is a fundamental tool for hemodynamic monitoring in critical patients. It allows evaluating the left ventricle's stroke volume based on the measurement of the velocity-time integral (VTI) of the left ventricle outflow tract (LVOT). However, in the intensive care unit obtaining adequate echocardiographic views may present a challenge. We propose to measure, as a surrogate of the stroke volume, the carotid flow with a novel technique. This is an observational, prospective, and simple blind study, conducted in the intensive care unit of Sanatorio de los Arcos and Hospital Aleman, in Buenos Aires, Argentina. We measured the carotid systodiastolic flow (CSD) VTI and the carotid systolic flow (CS) VTI at the level of the left supraclavicular fossa and we compared it with the LVOT VTI obtained by TTE. We evaluated 43 subjects. Spearman's correlation coefficient between LVOT VTI and CS VTI was 0.81 (95% CI 0.67-0.89) and between LVOT VTI and CSD VTI was 0.89 (95% CI 0.81-0.94). The Bland-Altman method analysis of the 5-chamber apical window LVOT VTI compared to the CSD VTI showed a bias of - 0.2 (95% CI - 0.82 to 0.43), with a concordance interval between - 4.2 (95% CI - 5.2 to - 3.1) and 3.8 cm (95% CI 2.7 to 4.9). The percentage error was 37.9%. Almost 100% of the values fell within the concordance limits, and no trend was observed in bias across the spectrum of mean variables. Although the CSD VTI could not be interchangeable with the LVOT VTI, it could be considered as its surrogate.
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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.