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Record W2476619885 · doi:10.1186/s40697-016-0124-7

Early Mortality on Continuous Renal Replacement Therapy (CRRT): The Prairie CRRT Study

2016· article· en· W2476619885 on OpenAlexaffabout
Bhanu Prasad, Michelle Urbanski, Thomas W. Ferguson, Erwin Karreman, Nav Tangri

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Kidney Injury Research
Canadian institutionsSeven Oaks General HospitalUniversity of SaskatchewanRegina Qu'Appelle Health Region
Fundersnot available
KeywordsRenal replacement therapyMedicineIntensive care medicineAcute kidney injuryNephrologyEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with acute kidney injury (AKI) requiring renal replacement therapy (RRT) have an increased short-term and long-term risk of mortality. In most North American intensive care units (ICUs), these patients receive continuous renal replacement therapy (CRRT). OBJECTIVE: We aim to identify clinical and demographic factors associated with mortality within 24 h of initiating CRRT. DESIGN: This paper is a prospective cohort study. SETTING: The setting involves three ICUs (12-bed surgical ICU, 10-bed medical ICU, and a 7-bed combined ICU for both medical and surgical patients) of the Regina Qu'Appelle Health Region (RQHR) Saskatchewan, Canada. PATIENTS: The patients were 106 individuals with AKI who were admitted to the ICUs and received CRRT from April 2013 to September 2014. MEASUREMENTS: Date and time of admission, transfer to, and initiation of CRRT were documented. Demographic data, use of vasoactive medications, ventilator settings, pH, urine output, and chronic disease comorbidities were measured. METHODS: The methods involved a stepwise multiple variable logistic regression model using death within 24 h of starting CRRT as the dependent variable, with significant variables derived from univariate analysis as covariates. RESULTS: Of the 2634 patients admitted to the ICUs in the study period (April 2013 to September 2014), 83.6 % (2201/2634) had no AKI. Two hundred and sixty-nine or 10.2 % of the patients had stage 3 AKI. One hundred six of the 269 patients (40%) were started on CRRT. Of those on CRRT, 66/106 died in the ICU while on CRRT. Seventeen of the 66 patients (26%) died within 24 h of initiating therapy. In univariate logistic regression models, factors associated with early mortality included fraction of inspired oxygen (per 0.1 unit) (OR 1.39, 95 % CI 1.09-1.77); epinephrine dose >10 μg/min (OR 5.81, 95 % CI 1.86-18.16); vasopressin >0.02 μg/min (OR 3.99, 95 % CI 1.07-14.84); and norepinephrine dose >20 μg/min (OR 11.04, 95 % CI 2.38-51.24) which were associated with early mortality. When included in stepwise multivariate logistic regression analysis, only FiO2 (per 0.1 unit) and the dose of norepinephrine of >20 μg/min were independently associated with early mortality. LIMITATIONS: The small sample size was a limitation of this study. CONCLUSION: Patients admitted to the ICU with AKI requiring CRRT have a high risk of early mortality. In these patients, vasopressor use and hypoxia were independently associated with adverse short-term survival.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.047
GPT teacher head0.357
Teacher spread0.310 · 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 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".

Quick stats

Citations35
Published2016
Admission routes2
Has abstractyes

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