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Acute Kidney Injury in Children With Type 1 Diabetes Hospitalized for Diabetic Ketoacidosis

2017· article· en· W2596640167 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJAMA Pediatrics · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineAcute kidney injuryDiabetic ketoacidosisKidney diseaseRenal replacement therapyType 1 diabetesType 2 diabetesDiabetes mellitusPediatricsInternal medicineMedical recordCreatinineIntensive care medicineEmergency medicineInsulinEndocrinology

Abstract

fetched live from OpenAlex

Importance: Acute kidney injury (AKI) in children is associated with poor short-term and long-term health outcomes; however, the frequency of AKI in children hospitalized for diabetic ketoacidosis (DKA) has not been previously examined. Objectives: To determine the proportion of children hospitalized for DKA who develop AKI and to identify the associated clinical and biochemical markers of AKI. Design, Setting, and Participants: This medical record review of all DKA admissions from September 1, 2008, through December 31, 2013, was conducted at British Columbia Children's Hospital, the tertiary pediatric hospital in British Columbia, Canada. Children aged 18 years or younger with type 1 diabetes and DKA and with complete medical records available for data analysis were included (n = 165). All data collection occurred between September 8, 2014, and June 26, 2015. Data analysis took place from August 25, 2015, to June 8, 2016. Main Outcomes and Measures: Acute kidney injury was defined using Kidney Disease/Improving Global Outcomes serum creatinine criteria. Multinomial logistic regression was used to identify potential factors associated with AKI. Results: Of the 165 children hospitalized for DKA, 106 (64.2%) developed AKI (AKI stage 1, 37 [34.9%]; AKI stage 2, 48 [45.3%]; and AKI stage 3, 21 [19.8%]). Two children required hemodialysis. In the adjusted multinomial logistic regression model, a serum bicarbonate level less than 10 mEq/L (compared with ≥10 mEq/L) was associated with a 5-fold increase in the odds of severe (stage 2 or 3) AKI (adjusted odds ratio [aOR], 5.22; 95% CI, 1.35-20.22). Each increase of 5 beats/min in initial heart rate was associated with a 22% increase in the odds of severe AKI (aOR, 1.22; 95% CI, 1.07-1.39). Initial corrected sodium level of 145 mEq/L or greater (compared with 135-144 mEq/L) was associated with a 3-fold increase in the odds of mild (stage 1) AKI (aOR, 3.29; 95% CI, 1.25-8.66). There were no cases of mortality in patients with or without AKI. Conclusions and Relevance: This study is the first to date to document that a high proportion of children hospitalized for DKA develop AKI. Acute kidney injury was associated with markers of volume depletion and severe acidosis. Acute kidney injury is concerning because it is associated with increased morbidity and mortality as well as increased risk of chronic renal disease, a finding that is especially relevant among children who are already at risk for diabetic nephropathy. Strategies are needed to improve the diagnosis, management, and follow-up of AKI in children with type 1 diabetes.

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)0.001
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 score0.013
Threshold uncertainty score0.734

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.004
GPT teacher head0.228
Teacher spread0.225 · 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