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Record W1970183418 · doi:10.1097/ccm.0b013e31819285f0

A prospective, observational registry of patients with severe sepsis: The Canadian Sepsis Treatment and Response Registry*

2008· article· en· W1970183418 on OpenAlexaffabout
Claudio M. Martin, Fran Priestap, Harold Fisher, Robert Fowler, Daren K. Heyland, Sean Keenan, Christopher J. Longo, Teresa Morrison, Diane Bentley, Neil Antman

Bibliographic record

VenueCritical Care Medicine · 2008
Typearticle
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsLawson Health Research Institute
Fundersnot available
KeywordsMedicineObservational studySepsisSevere sepsisIntensive care medicineEmergency medicineInternal medicineSeptic shock

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the location of acquisition, timing, and outcomes associated with severe sepsis in community and teaching hospital critical care units. DESIGN: Prospective, observational study. SETTING: Twelve Canadian community and teaching hospital critical care units. PATIENTS: All patients admitted between March 17, 2003, and November 30, 2004 to the study critical care units with at least a 24-hr length of stay or severe sepsis identified during the first 24 hrs. INTERVENTIONS: Daily monitoring for severe sepsis. MEASUREMENTS AND MAIN RESULTS: We recorded data describing characteristics of patients, infections, systemic responses, and organ dysfunction. Severe sepsis occurred in 1238 patients (overall rate, 19.0%; range, 8.2%-35.3%). Hospital mortality was 38.1% (95% confidence interval [CI]: 35.4-40.8). Median intensive care unit length of stay was 10.3 days (interquartile range: 5.5, 17.9). Variables associated with mortality in multivariable analysis included age (odds ratio [OR] by decade 1.50; 95% CI: 1.36-1.65), acquisition location of severe sepsis (with community as the reference-hospital [OR: 1.69; CI: 1.16-2.46], early intensive care unit [OR: 2.15; CI: 1.42-3.25], late intensive care unit [OR: 2.65; CI: 1.82-3.87]), late intensive care unit (OR: 2.65; CI: 1.82-3.87), any comorbidity (OR: 1.42; CI: 1.04-1.93), chronic renal failure (OR: 2.03; CI: 1.10-3.76), oliguria (OR: 1.34; CI: 1.02-1.76), thrombocytopenia (OR: 2.12; CI: 1.43-3.13), metabolic acidosis (OR: 1.54; CI: 1.13-2.10), Multiple Organ Dysfunction Score (OR: 1.15; CI: 1.09-1.21) and Acute Physiology and Chronic Health Evaluation II predicted risk (OR: 3.75; CI: 2.08-6.76). CONCLUSION: These data confirm that sepsis is common and has high mortality in general intensive care unit populations. Our results can inform healthcare system planning and clinical study designs. Modifiable variables associated with worse outcomes, such as nosocomial infection (hospital acquisition), and metabolic acidosis indicate potential targets for quality improvement initiatives that could decrease mortality and morbidity.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.148
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.080
GPT teacher head0.333
Teacher spread0.253 · 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

Citations196
Published2008
Admission routes2
Has abstractyes

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