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Record W2803381936 · doi:10.1093/ndt/gfy104.sao048

SaO048PROCALCITONIN IN END-STAGE KIDNEY DISEASE: DEFINING EXPECTED RANGES

2018· article· en· W2803381936 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

VenueNephrology Dialysis Transplantation · 2018
Typearticle
Languageen
FieldMedicine
TopicBiomedical Research and Pathophysiology
Canadian institutionsUniversité de SherbrookeVitalité Health Network
Fundersnot available
KeywordsMedicineEnd-stage kidney diseaseKidney diseaseEnd stage renal diseaseStage (stratigraphy)DiseaseInternal medicine

Abstract

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INTRODUCTION AND AIMS: Procalcitonin (PCT) has been shown, particularly in the context of sepsis and respiratory diseases and the settings of intensive care and emergency department units, to be a powerful biomarker for diagnosis and management of infectious diseases in the general population. At normally undetectable levels (i.e. < 0.1 ng/ml), a PCT elevation greater than 0.5 ng/ml is then very suggestive of bacterial infection and its lowering is associated with treatment response. Renal failure (RF) is however known to affect PCT levels. Various higher PCT threshold levels have been proposed to make adjustments to published PCT guided care algorithms in RF patients, although these are supported by weak evidence. METHODS: To enhance understanding of RF’s effect on PCT levels and to explore PCT’s effectiveness as a biomarker in RF population, we have been conducting a single centre prospective blinded cohort study in prevalent end-stage kidney disease (ESRD) patients on hemodialysis (HD), in stable and unstable condition, with repeated PCT sampling over three months and followed up to one year since March 2016. Data used in this initial cross-sectional analysis are from the baseline assessment of all stable patients recruited thus far. RESULTS: 132 (83 men (67%), 49 women (37%)) patients with a mean age of 68 years (range 19-93) and a 45-month ESRD vintage (range 1-223) were included. Of these, 72 (55%) had diabetes mellitus (Db) and 85 (64%) had some form of cardiovascular disease (CVD). Their mean body mass index (BMI) was 29 kg/m2 (range 16.6 - 52.7). They received, on average, 12 hours of HD weekly (range 8 - 16) with a mean Kt/V of 1.54 (range 0.1 - 2.67). Their mean baseline PCT level was 0.47 ng/ml (< 0.1 - 3.44) with an asymmetric distribution skewed to the right (median 0.3 ng/ml, mode < 0.1 ng/ml). Univariate analyses revealed PCT to be statistically positively correlated with ESRD vintage, BMI, HD weekly duration, albuminemia, alkaline phosphatase, calcitonin, c-reactive protein (CRP), creatinine, leukocytes count, urea (pre-HD) and negatively correlated with age. No correlation was found with gender, Db, CVD, Kt/V, calcemia, phosphatemia, PTH, hemoglobin or ferritin levels. In a multivariate model, only ESRD vintage, HD weekly duration, albuminemia, alkaline phosphatase, CRP and creatinine correlations remained statistically significant. CONCLUSIONS: These results corroborate that RF affects PCT levels widely, most likely due to a priming effect related to ESRD-HD inflammatory and mineral and bone metabolism disorders rather than a decrease in PCT clearance. They support the need to use a higher PCT level threshold in ESRD(HD) patients, though PCT’s effectiveness as a biomarker in this population and critical threshold levels cannot yet be specified from these findings. Future results of this on-going cohort study will seek to determine, in even greater confidence, expected PCT level ranges of stable and unstable ESRD(HD) patients and their determining factors.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.306
Teacher spread0.288 · 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