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Record W4304141640 · doi:10.1097/cce.0000000000000768

Association Between Tracheostomy and Functional, Neuropsychological, and Healthcare Utilization Outcomes in the RECOVER Cohort

2022· article· en· W4304141640 on OpenAlexaffabout
Sangeeta Mehta, Anita Brondani, George Tomlinson, Leslie M. Chu, Stacey Burns, Andrea Matté, Jill I. Cameron, Jan O. Friedrich, Jill Rudkowski, Priscila Robles, Yoanna Skrobik, Margaret S. Herridge, Neill K. J. Adhikari

Bibliographic record

VenueCritical Care Explorations · 2022
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsHealth Sciences CentreMcGill UniversityMcMaster UniversitySt. Joseph’s Healthcare HamiltonSt. Michael's HospitalUniversity of TorontoYork Central HospitalUniversity Health NetworkSunnybrook Health Science CentreSinai Health SystemToronto Rehabilitation Institute
Fundersnot available
KeywordsMedicineInterquartile rangeHazard ratioOdds ratioFunctional Independence MeasureMechanical ventilationEmergency medicineProspective cohort studyConfidence intervalIntensive carePhysical therapyInternal medicineActivities of daily livingIntensive care medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: Tracheostomy is commonly performed in critically ill patients requiring prolonged mechanical ventilation (MV). We evaluated the outcomes of tracheostomy in patients who received greater than or equal to 1 week MV and were followed for 1 year. DESIGN: In this secondary analysis of a prospective observational study, we compared outcomes in tracheostomy versus nontracheostomy patients. Outcomes post ICU included Functional Independence Measure (FIM) subscales, 6-Minute Walk Test (6MWT), Short Form 36 (SF36), Medical Research Council (MRC) Scale, pulmonary function tests (PFTs), Impact of Event Scale (IES), Beck Depression Inventory-II (BDI-II), and vital status and disposition. SETTING: Nine University affiliated ICUs in Canada. PATIENTS: Medical/surgical patients requiring MV for 7 or more days who were enrolled in the Towards RECOVER Study. MEASUREMENTS AND MAIN RESULTS: Of 398 ICU survivors, 193 (48.5%) received tracheostomy, on median ICU day 14 (interquartile range [IQR], 8–0 d). Patients with tracheostomy were older, had similar severity of illness, had longer MV duration and ICU and hospital stays, and had higher risk of ICU readmission (odds ratio [OR], 1.9; 95% CI, 1.0–3.2) and hospital mortality (OR, 2.6; 95% CI, 1.1–6.1), but not 1-year mortality (hazard ratio, 1.41; 95% CI, 0.88–1.2). Over 1 year, tracheostomy patients had lower FIM-Total (7.7 points; 95% CI, 2.2–13.2); SF36, IES, and BDI-II were similar. From 3 months, tracheostomy patients had 12% lower 6MWT ( p = 0.0008) and lower MRC score (3.4 points; p = 0.006). Most PFTs were 5–8% lower in the tracheostomy group. Tracheostomy patients had similar specialist visits (rate ratio, 0.63; 95% CI, 0.28–2.4) and hospital readmissions (OR, 0.82; 95% CI, 0.54–1.3) but were less likely to be at home at hospital discharge and 1 year. CONCLUSIONS: Patients who received tracheostomy had more ICU and hospital care and higher hospital mortality compared with patients who did not receive a tracheostomy. In 1 year follow-up, tracheostomy patients required a higher daily burden of care, expressed by FIM.

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)0.001
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 score0.116
Threshold uncertainty score0.288

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 head0.117
GPT teacher head0.365
Teacher spread0.248 · 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
Published2022
Admission routes2
Has abstractyes

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