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Record W4360993386 · doi:10.1097/cce.0000000000000888

Characteristics and Outcomes of ICU Patients Without COVID-19 Infection—Pandemic Versus Nonpandemic Times: A Population-Based Cohort Study

2023· article· en· W4360993386 on OpenAlex
Cameron Leafloor, Haris Imsirovic, Danial Qureshi, Christina Milani, Kwadjo M. Nyarko, Sarah Dickson, Laura H. Thompson, Peter Tanuseputro, Kwadwo Kyeremanteng

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

VenueCritical Care Explorations · 2023
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsInstitut du Savoir MontfortUniversity of OttawaBruyèreInstitute for Clinical Evaluative SciencesOttawa Hospital
Fundersnot available
KeywordsMedicineCohortExtracorporeal membrane oxygenationPandemicPopulationMechanical ventilationIntensive care unitCohort studyExacerbationIntensive careEmergency medicinePediatricsIntensive care medicineInternal medicineDiseaseCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)

Abstract

fetched live from OpenAlex

IMPORTANCE: Outcomes for critically ill COVID-19 are well described; however, the impact of the pandemic on critically ill patients without COVID-19 infection is less clear. OBJECTIVES: To demonstrate the characteristics and outcomes of non-COVID patients admitted to an ICU during the pandemic, compared with the previous year. DESIGN: A population-based study conducted using linked health administrative data comparing a cohort from March 1, 2020, to June 30, 2020 (pandemic) to a cohort from March 1, 2019, to June 30, 2019 (nonpandemic). SETTING AND PARTICIPANTS: Adult patients (18 yr old) admitted to an ICU in Ontario, Canada, without a diagnosis of COVID-19 during the pandemic and nonpandemic periods. MAIN OUTCOMES AND MEASURES: The primary outcome was all-cause in-hospital mortality. Secondary outcomes included hospital and ICU length of stay, discharge disposition, and receipt of resource intensive procedures (e.g., extracorporeal membrane oxygenation, mechanical ventilation, renal replacement therapy, bronchoscopy, feeding tube insertion, and cardiac device insertion). We identified 32,486 patients in the pandemic cohort and 41,128 in the nonpandemic cohort. Age, sex, and markers of disease severity were similar. Fewer patients in the pandemic cohort were from long-term care facilities and had fewer cardiovascular comorbidities. There was an increase in all-cause in-hospital mortality among the pandemic cohort (13.5% vs 12.5%; p < 0.001) representing a relative increase of 7.9% (adjusted odds ratio, 1.10; 95% CI, 1.05–1.56). Patients in the pandemic cohort admitted with chronic obstructive pulmonary disease exacerbation had an increase in all-cause mortality (17.0% vs 13.2%; p = 0.013), a relative increase of 29%. Mortality among recent immigrants was higher in the pandemic cohort compared with the nonpandemic cohort (13.0% vs 11.4%; p = 0.038), a relative increase of 14%. Length of stay and receipt of intensive procedures were similar. CONCLUSIONS AND RELEVANCE: We found a modest increase in mortality among non-COVID ICU patients during the pandemic compared with a nonpandemic cohort. Future pandemic responses should consider the impact of the pandemic on all patients to preserve quality of care.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.010
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 head0.123
GPT teacher head0.457
Teacher spread0.334 · 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