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Record W3203802236 · doi:10.1016/j.xjon.2021.09.041

Commentary: The choice of arterial pressure monitoring in adult cardiac surgery should be individualized. The devil is in the details

2021· editorial· en· W3203802236 on OpenAlexaboutno aff
Juan N. Pulido

Bibliographic record

VenueJTCVS Open · 2021
Typeeditorial
Languageen
FieldMedicine
TopicHemodynamic Monitoring and Therapy
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRadial arteryArterial lineBlood pressureCardiologyCardiac surgeryFemoral arteryArteryInternal medicineSurgery

Abstract

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Central MessageHigh radial to femoral arterial pressure gradient is common and has clinical implications of overtreatment. The site of arterial monitoring in cardiac surgery should be individualized.See Article page 446. High radial to femoral arterial pressure gradient is common and has clinical implications of overtreatment. The site of arterial monitoring in cardiac surgery should be individualized. See Article page 446. Intra-arterial or invasive blood pressure monitoring is the standard of care in cardiothoracic surgery and is common in the intensive care unit. Usually, a radial artery is chosen in adults. This artery is frequently used due to ease of access, safety profile, and dual circulation of the hand. Nonetheless, it is also common to experience inaccuracies, specifically under-reading, leading to overtreatment of false hypotension. Possible factors leading to a radial-to-central arterial pressure gradient include length of bypass, crossclamp time, hypothermia, vasopressor use, and small patient size.1Fuda G. Denault A. Deschamps A. Bouchard D. Fortier A. Lambert J. et al.Risk Factors involved in central-to-radial arterial pressure gradient during cardiac surgery.Anesth Analg. 2016; 122: 624-632Crossref PubMed Scopus (27) Google Scholar This phenomenon is common in clinical practice and has been described in many reports. Some approaches to quantify radial pressure under-reading include insertion of a needle in the aorta while the chest is open, placement of a femoral arterial line for comparative transduction of pressures, or using the measurement of mitral valve regurgitation velocity to estimate systolic arterial pressure. This usually unmasks a pressure difference or pressure gradient that can be significant enough to completely disregard the radial arterial pressure readings until the gradient dissipates, usually with time. The prevalence and significance of this arterial pressure gradient in adult patients undergoing cardiac surgery was explored by Bouchard-Dechêne and colleagues2Bouchard-Dechêne V. Kontar L. Couture P. Pérusse P. Levesque S. Lamarche Y. et al.Montreal Heart Institute Research TeamRadial-to-femoral pressure gradient quantification in cardiac surgery.J Thorac Cardiovasc Surg Open. 2021; 8: 446-460Google Scholar in this issue of the Journal. The authors examined the reliability of radial artery monitoring during cardiac surgery in a prospective study of 129 patients; measured the duration of a significant gradient as well as the impact of simultaneous radial and femoral artery monitoring; and analyzed them in 2 groups: radial artery monitoring (37 patients) versus simultaneous radial artery and femoral artery monitoring (92 patients). They defined the radial-to-femoral artery pressure gradient (RFPG) as significant if >25 mm Hg in systolic and >10 in mean arterial pressure for at least 5 minutes and correlated this incidence with radial artery diameter measured with ultrasound the day before surgery. The clinical team was blinded to the measurements. The authors found an overall incidence of significant RFPG of 34.8% with an average duration of 54 ± 48 minutes. This incidence correlated to previous reports on radial to central arterial pressure gradient in cardiac surgery. Interestingly, but not surprising, the incidence was greater when the radial artery diameter was smaller. Almost one half (48%) of the patients with radial artery diameter of <1.8 mm on ultrasound evaluation had significant RFPG. Not only was the frequency of significant RFPG greater, but these patients required more vasoactive support in the operating room and intensive care unit despite less-complex procedures and shorter bypass runs. Despite the limitations of this study, it provides important insight on this phenomenon that prompts caution when caring for cardiac surgical patients, specifically if the hypotension seems out of proportion to other variables that monitor tissue perfusion and when using arterial pressure–derived algorithms to manage hemodynamics, such as pulse contour analysis and continuous cardiac output monitors. It is important to emphasize that brachial arterial lines were not analyzed and that there were no complications in the femoral arterial line group. Moreover, all patients with femoral arterial lines were mobilized and extubated without distinction to the radial artery group. The study, albeit observational, small, and single-center, highlights important information that has practical and clinical implications. Although it seems excessive to stop using radial arterial lines all together, we need to be aware of this phenomenon and consider the risk factors for significant RFPG when we formulate a hemodynamic monitoring plan for our patients. The choice for invasive arterial pressure monitoring should therefore be individualized to patient and procedure, and body mass index, radial artery diameter, and possible long bypass run should weigh in the decision. Radial-to-femoral pressure gradient quantification in cardiac surgeryJTCVS OpenVol. 8PreviewA radial-to-femoral pressure gradient (RFPG) can occur in roughly one-third of cardiac surgical patients. Such a gradient has been associated with smaller stature and potentially smaller radial artery diameter. We hypothesized that preoperative radial artery diameter could be a predictor of RFPG. We also investigated the clinical impact of using a femoral versus a radial arterial catheter in terms of vasoactive support. Full-Text PDF Open Access

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.089
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.366
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
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