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Chronic Kidney Disease in the Intensive Care Unit

2014· book-chapter· en· W248125247 on OpenAlexaff
Pedro Fidalgo, Sean M. Bagshaw

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineRenal replacement therapyKidney diseaseIntensive care medicineIntensive care unitAcute kidney injuryRenal functionPopulationDiseaseIntensive careInternal medicine

Abstract

fetched live from OpenAlex

The incidence and prevalence of chronic kidney disease (CKD) and end-stage renal disease are increasing, and these patients have a higher risk of developing critical illness and being admitted to the intensive care unit (ICU) compared to the general population. The higher prevalence of comorbid disease puts this population at higher risk for worse short- and long-term outcomes following ICU admission compared to the general population, although short-term mortality seems to be determined largely by the acute illness severity rather than CKD status per se. The pathophysiologic changes accompanying CKD present unique challenges to the management of acute critical illness most notably volume and metabolic homeostasis and drug dosing adjustment. CKD is an important risk factor for the development of acute kidney injury (AKI) complicating critical illness and can predispose to further accelerated decline in kidney function among ICU survivors. Renal replacement therapy (RRT) support is frequently used in ICU settings, and continuous renal replacement therapy modality remains the most commonly used among critically ill patients.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.057
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.042
GPT teacher head0.332
Teacher spread0.290 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations21
Published2014
Admission routes1
Has abstractyes

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