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Associations Between Hydration Status, Intravenous Fluid Administration, and Outcomes of Patients Infected With Shiga Toxin–Producing <i>Escherichia coli</i>

2016· review· en· W2558886976 on OpenAlexaffabout
Silviu Grisaru, Jianling Xie, Susan Samuel, Lisa Hartling, Phillip I. Tarr, David Schnadower, Stephen B. Freedman

Bibliographic record

VenueJAMA Pediatrics · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsAlberta Children's HospitalUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineMEDLINECochrane LibraryCINAHLInternal medicineHematocritMeta-analysisAdverse effectPopulationIntensive care medicinePsychological interventionPsychiatry

Abstract

fetched live from OpenAlex

Importance: The associations between hydration status, intravenous fluid administration, and outcomes of patients infected with Shiga toxin-producing Escherichia coli (STEC) remain unclear. Objective: To determine the relationship between hydration status, the development and severity of hemolytic uremic syndrome (HUS), and adverse outcomes in STEC-infected individuals. Data Sources: MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials via the OvidSP platform, PubMed via the National Library of Medicine, CINAHL Plus with full text, Scopus, Web of Science, ClinicalTrials.gov, reference lists, and gray literature were systematically searched. Study Selection: Two reviewers independently identified studies that included patients with hydration status documentation, proven or presumed STEC infection, and some form of HUS that developed. No language restrictions were applied. Data Extraction and Synthesis: Two reviewers independently extracted individual study data, including study characteristics, population, and outcomes. Risk of bias was assessed using the Newcastle-Ottawa Scale; strength of evidence was adjudicated using the Grading of Recommendations Assessment, Development, and Evaluation method. Meta-analyses were conducted using random-effects models. Main Outcomes and Measures: Development of HUS, complications (ie, oligoanuric renal failure, involvement of the central nervous system, or death), and interventions (ie, renal replacement therapy). Results: Eight studies comprising 1511 patients (all children) met eligibility criteria. Unpublished data were provided by the authors of 7 published reports. The median risk-of-bias score was 7.5 (range, 6-9). No studies evaluated the effect of hydration during STEC infections on the risk for HUS. A hematocrit value greater than 23% as a measure of hydration status at presentation with HUS was associated with the development of oligoanuric HUS (OR, 2.38 [95% CI, 1.30-4.35]; I2 = 2%), renal replacement therapy (OR, 1.90 [95% CI, 1.25-2.90]; I2 = 17%), and death (OR, 5.13 [95% CI, 1.50-17.57]; I2 = 55%). Compared with putatively hydrated patients, clinically dehydrated patients had an OR of death of 3.71 (95% CI, 1.25-11.03; I2 = 0%). Intravenous fluid administration up to the day of HUS diagnosis was associated with a decreased risk of renal replacement therapy (OR, 0.26 [95% CI, 0.11-0.60]). Conclusions and Relevance: Two predictors of poor outcomes for STEC-infected children were identified: (1) the lack of intravenous fluid administration prior to establishment of HUS and (2) a higher hematocrit value at presentation. These findings point to an association between dehydration and adverse outcomes for children with HUS.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.665
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.016
GPT teacher head0.292
Teacher spread0.276 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreReview

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

Citations101
Published2016
Admission routes2
Has abstractyes

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