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Record W4403830748 · doi:10.1681/asn.202401vpzcjc

Feasibility of Near-Infrared Spectroscopy and Peripheral Arterial Disease Risk in CKD

2024· article· en· W4403830748 on OpenAlexaff
Stephanie E. Thompson, Ilhae Bok, Natasha Wiebe, Aminu K. Bello, Michael K. Stickland

Bibliographic record

VenueJournal of the American Society of Nephrology · 2024
Typearticle
Languageen
FieldMedicine
TopicInfrared Thermography in Medicine
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPeripheralArterial diseaseMedicineInternal medicineKidney diseaseSpectroscopyInfraredCardiologyVascular diseaseOpticsPhysics

Abstract

fetched live from OpenAlex

Background: Peripheral arterial disease (PAD) is common in chronic kidney disease (CKD). The role of microvasculature (MV) in the development and progression of PAD is recognized. Near-infrared spectroscopy (NIRS) tests muscle oxygen utilization (mVO2) and reactive hyperemia (MV function) non-invasively but its role in CKD and PAD is unknown. We evaluated NIRS feasibility and compared parameters in severe CKD with healthy controls. We explored its reliability and correlation with a MV referent test, velocity time integral (VTI). Methods: A priori, feasibility was ≤10% of tests with i. discomfort and test termination ii. incomplete ischemic occlusion or iii. uninterpretable data. Participants completed baseline tests, Doppler US with reactive hyperemia from brachial and popliteal arteries for VTI and NIRS from the tibialis anterior muscle. An ischemic occlusion 50 mmHg above systolic BP for 5 minutes was used. The CKD group had repeat testing <14 days. Diagnostic accuracy testing was planned for NIRS and VTI correlations >0.7 and intraclass correlation coefficients (ICC) > 0.7. Results: 39 CKD 5/5D and 20 controls participated. CKD participants were older with higher median systolic BP 135 mmHg [125,150] vs 109 [102,118], ABI 1.12 [1.03,1.20] vs 1.02 [0.89,1.06] and TBI 0.82 [0.77,0.92] vs 0.98 [0.93,1.03]. In CKD, 9 tests (23%) were terminated due to discomfort from the ischemic provocation vs none in controls. In CKD, 20% of tests had incomplete occlusions vs 10% in controls and 13% were uninterpretable vs 0% in controls. In CKD, brachial artery peak VTI was 55.8 cm [42.7, 71.3] vs 82.8 cm [76.2,97.3] in controls (P<0.001). Popliteal peak VTI results were similar. Median mVO2 was higher in CKD: 0.25 %/second [0.23,0.28] vs 0.20 [0.18,0.24] (P=0.007) and reactive hyperemic response was lower in CKD oxyhemoglobin recovery slope 0.61 µM/sec [0.50,0.93] vs 0.93 [0.69,1.21] (P=0.007) (Figure). No NIRS tests had correlations >0.7 and ICCs >0.7. Conclusion: Ischemic provocation limited feasibility. mVO2 and reactive hyperemia from NIRS in CKD was consistent with muscle adaptations in PAD. Applications of NIRS in PAD should be evaluated in larger studies using alternative provocation tests.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.297
Teacher spread0.285 · 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 designObservational
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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