MétaCan
Menu
Back to cohort
Record W4402828976 · doi:10.1016/j.jinf.2024.106283

Long-term morbidity and mortality of patients who survived past 30 days from bloodstream infection: A population-based retrospective cohort study

2024· article· en· W4402828976 on OpenAlexafffundabout
Anthony D. Bai, Nick Daneman, Kevin A. Brown, J. Gordon Boyd, Sudeep S. Gill

Bibliographic record

VenueJournal of Infection · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial Identification and Susceptibility Testing
Canadian institutionsPublic Health OntarioInstitute for Clinical Evaluative SciencesQueen's University
FundersFaculty of Health Sciences, Queen's UniversityQueen's University
KeywordsMedicineRetrospective cohort studyBloodstream infectionCohortTerm (time)PopulationCohort studyPediatricsIntensive care medicineSurgeryInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: For bloodstream infections (BSI), treatment and research have focused on short term mortality. The objective of this study was to describe the 1-year mortality and morbidity in survivors of bloodstream infection when compared to patients with negative blood cultures. METHODS: We conducted a population-based retrospective cohort study using Ontario administrative databases. Patients were included if they had a blood culture taken from January 1, 2014, to December 31, 2021, and survived past 30 days from blood culture collection. They were followed for the subsequent year. Outcomes were compared among patients with BSI and those without BSI, including all-cause mortality, stroke, myocardial infarction (MI), congestive heart failure (CHF) exacerbation, new start dialysis and admission to a long-term care (LTC) facility. Prognostic factors were balanced using overlap weighting of propensity scores, and a survival or competing risk model was used to describe time-to-event. RESULTS: Of 981,341 patients undergoing blood culture testing, 99,080 (10.1%) patients had a BSI and 882,261 (89.9%) patients did not. Outcomes were all more common among those with BSI as compared to those without BSI, including all-cause mortality (16,764 [16.9%] vs. 84,480 [9.6%]), stroke (1016 [1.0%] vs. 4680 [0.5%]), MI (1043 [1.1%] vs. 4547 [0.5%]), CHF exacerbation (2643 [2.7%] vs. 13,200 [1.5%]), new start dialysis (1703 [1.7%] vs. 2749 [0.3%]), and LTC admission (4231 [4.3%] vs. 13,016 [1.5%]). BSI had an adjusted hazard ratio of 1.10 (95% CI 1.08-1.12, P < 0.0001) for mortality, subdistribution hazard ratio (sHR) of 1.27 (95% CI 1.19-1.37, P < 0.0001) for stroke, sHR of 1.18 (95% CI 1.10-1.26, P < 0.0001) for MI, sHR of 1.05 (95% CI 1.01-1.10, P = 0.0176) for CHF exacerbation, sHR of 3.42 (95% CI 3.21-3.64, P < 0.0001) for new start dialysis and sHR of 1.87 (95% CI 1.80-1.94, P < 0.0001) for LTC admission. CONCLUSION: BSI survivors have substantial long-term mortality and morbidity including stroke, MI, new start dialysis and functional decline leading to LTC admission.

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)0.000
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 score0.008
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.288
Teacher spread0.273 · 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.

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

Citations5
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueJournal of InfectionSame topicBacterial Identification and Susceptibility TestingFrench-language works237,207