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Record W3000300278 · doi:10.1159/000505445

Effect of Ultrafiltration on Sleep Apnea and Cardiac Function in End-Stage Renal Disease

2020· article· en· W3000300278 on OpenAlexafffund
Toru Inami, Owen D. Lyons, Elisa Perger, Azadeh Yadollahi, John S. Floras, Christopher T. Chan, T. Douglas Bradley

Bibliographic record

VenueAmerican Journal of Nephrology · 2020
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsMount Sinai HospitalWomen's College HospitalUniversity of TorontoToronto Rehabilitation InstituteUniversity Health Network
FundersCanadian Institutes of Health Research
KeywordsMedicineIsovolumetric contractionEjection fractionPolysomnographyCardiologySleep apneaCentral sleep apneaInternal medicineEnd stage renal diseaseApnea–hypopnea indexObstructive sleep apneaApneaDiastoleHemodialysisHeart failureBlood pressure

Abstract

fetched live from OpenAlex

RATIONALE: End-stage renal disease (ESRD) patients have high annual mortality mainly due to cardiovascular causes. The acute effects of obstructive and central sleep apnea on cardiac function in ESRD patients have not been determined. We therefore tested, in patients with ESRD, the hypotheses that (1) sleep apnea induces deterioration in cardiac function overnight and (2) attenuation of sleep apnea severity by ultrafiltration (UF) attenuates this deterioration. METHODS: At baseline, ESRD patients, on conventional hemodialysis, with left ventricular ejection fraction (LVEF) >45% had polysomnography (PSG) performed on a non-dialysis day to determine the apnea-hypopnea index (AHI). Echocardiography was performed at the bedside, before and after sleep. Isovolumetric contraction time divided by left ventricular ejection time (IVCT/ET) and isovolumetric relaxation time divided by ET (IVRT/ET) were measured by tissue doppler imaging. The myocardial performance index (MPI), a composite of systolic and diastolic function was also calculated. One week later, subjects with sleep apnea (AHI ≥15) had fluid removed by UF, followed by repeat PSG and echocardiography. -Results: Fifteen subjects had baseline measurements, of which 7 had an AHI <15 (no-sleep-apnea group) and 8 had an AHI ≥15 (sleep-apnea group). At baseline, there was no overnight change in the LVEF in either the no-sleep-apnea group or the sleep-apnea group. In the no-sleep-apnea group, there was also no overnight change in MPI, IVCT/ET and IVRT/ET. However, in the sleep-apnea group there were overnight increases in MPI, IVCT/ET and IVRT/ET (p = 0.008, 0.007 and 0.031, respectively), indicating deterioration in systolic and diastolic function. Following fluid removal by UF in the sleep-apnea group, the AHI decreased by 48.7% (p = 0.012) and overnight increases in MPI, IVCT/ET and IVRT/ET observed at baseline were abolished. CONCLUSIONS: In ESRD, cardiac function deteriorates overnight in those with sleep apnea, but not in those without sleep apnea. This overnight deterioration in the sleep-apnea group may be at least partially due to sleep apnea, since attenuation of sleep apnea by UF was accompanied by elimination of this deleterious overnight effect.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.278
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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

Citations10
Published2020
Admission routes2
Has abstractyes

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