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Record W1993709321 · doi:10.1213/ane.0b013e3181bc77a5

Resistive Index May Not Accurately Reflect Renal Flow Resistance in the Presence of Significant Aortic Insufficiency

2009· letter· en· W1993709321 on OpenAlexaboutno aff
Pingliang Yang, David T. Wong

Bibliographic record

VenueAnesthesia & Analgesia · 2009
Typeletter
Languageen
FieldMedicine
TopicRenal and Vascular Pathologies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRenal arteryBlood flowAnatomyCardiologyInternal medicineKidney

Abstract

fetched live from OpenAlex

To the Editor: To measure renal blood flow, Garwood1 suggested using the segmental or other intrarenal vessels resistive index (RI) and pulsatility index using transesophageal echocardiography (TEE) to avoid the error caused by the cosine of the angle between blood flow and the Doppler beam. In support of his suggestion, Garwood2 cited a figure (Fig. 1, reproduced from J Cardiothorac Vasc Anesth 2001;15: 65–71) to demonstrate measurement of the RI and pulsatility index from a branch renal artery. We believe that there is an error in this cited figure.Figure 1.: Two-dimensional view of the renal arteries obtained with transesophageal echocardiography (TEE) showing that the main renal artery supplies ventral and dorsal branches (A). The branch divided into segmental renal arteries; the low-segmental renal arterial blood flow backward the TEE probe transducer (B). The pulsed-wave Doppler cursor placed in the low-segmental artery and the corresponding spectral waveforms showing that the orientation was away from the baseline (C).Using TEE, the main renal artery supplies the ventral and dorsal branches, which subsequently branch into segmental renal arteries (Fig. 1, A and B). The segmental arteries supply interlobar arteries that divide at the corticomedullary junction into arcuate arteries. These, in turn, supply interlobular arteries within the cortex.3 The orientation of low-segmental or interlobar renal arterial blood flow should be away from the TEE probe transducer (from hilum to cortex), and, accordingly, the corresponding spectral Doppler waveform should be below the baseline (Fig. 1, B and C). In the figure cited by Garwood,1 the Doppler cursor was placed in the low-interlobar renal artery. However, the corresponding spectral Doppler waveform was above the baseline, meaning that blood flow was toward the transducer. Second, RI might not accurately reflect renal resistance and renal blood flow when the patient has aortic valvular insufficiency. In the presence of severe aortic valve insufficiency, the renal artery diastolic velocity will be nearly 0. Thus, the RI (Vmax − Vmin/Vmax) will be approximately 1, suggesting that renal blood flow has a very high resistance, leading possibly to an erroneous conclusion that the cause is a constricted or severely stenosed renal vessel and reduced renal blood flow and possibly renal dysfunction. Thus, in the presence of significant aortic insufficiency, RI might not accurately reflect renal flow resistance, resulting in an inaccurate impression of reduced renal blood flow from increased renal vascular resistance. Ping-Liang Yang, MM Department of Anesthesiology West China Second University Hospital, Sichuan University Chengdu, Sichuan People’s Republic of China [email protected] David T. Wong, MD Department of Anesthesia Toronto Western Hospital University of Toronto, Toronto Ontario, Canada

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.045
GPT teacher head0.304
Teacher spread0.259 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2009
Admission routes1
Has abstractyes

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