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Improvement in Lipid Profile by Nocturnal Hemodialysis in Patients with End-Stage Renal Disease

2004· article· en· W2386518829 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueASAIO Journal · 2004
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsEnd stage renal diseaseHemodialysisNocturnalMedicineInternal medicineDiseaseStage (stratigraphy)CardiologyIntensive care medicineBiology

Abstract

fetched live from OpenAlex

Dyslipidemia is associated with uremia and an increased risk of cardiovascular disease. The uremic dyslipidemia syndrome is characterized by an abnormal lipoprotein profile that results in (1) an elevation of triglyceride (TG) rich lipoproteins, very low density lipoprotein (VLDL), and intermediate density lipoprotein (IDL); (2) a reduction in high density lipoprotein (HDL) levels; and (3) a higher fraction of atherogenic, small dense low density lipoprotein (LDL). Nocturnal hemodialysis (NHD) is a home based renal replacement therapy that provides better control of uremia than conventional hemodialysis (CHD) and that may improve dyslipidemia. To test this hypothesis, we conducted a prospective cohort study of 11 patients with end-stage renal disease (ESRD) (age 38+/-3 years [mean+/-SEMI) before and after conversion from CHD to NHD. Weight, blood pressure (BP), serum hemoglobin (Hb), phosphate (PO4), and albumin (Alb) were assessed at baseline and at 3 months after conversion to NHD. Dialysis dose on CHD and NHD was assessed using equilibrated Kt/V (eKt/V). A 12 hour fasting lipid profile (total cholesterol [TC], TG, HDL, LDL, HDL/TC) was obtained once while on CHD and at 3 months after conversion to NHD. After conversion from CHD to NHD, eKt/V per session increased significantly (from 1.13+/-0.05 to 2.10+/-0.07; p < 0.05). TG level decreased significantly (from 2.05+/-0.30 to 1.01+/-0.14 mmol/L; p < 0.001), and HDL level increased significantly (from 1.17+/-0.13 to 1.65+/-0.14 mmol/L; p < 0.001). HDL/TC also increased significantly (from 0.26+/-0.03 to 0.35+/-0.02; p < 0.001). TC and LDL levels were unchanged. HDL levels increased and TG levels decreased in all patients. There was no difference in weight, Hb, and Alb. Systolic BP and PO4 were significantly lower, and there was a trend toward a reduction in cardiovascular medications. The mechanism for the improvement in lipid profile requires further study.

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.

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)0.000
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 score0.056
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.005
GPT teacher head0.219
Teacher spread0.214 · 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