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Record W3140759607 · doi:10.1097/ccm.0000000000005053

Association of Sedation, Coma, and In-Hospital Mortality in Mechanically Ventilated Patients With Coronavirus Disease 2019–Related Acute Respiratory Distress Syndrome: A Retrospective Cohort Study*

2021· article· en· W3140759607 on OpenAlex
Karuna Wongtangman, Peter Santer, Luca J. Wachtendorf, Omid Azimaraghi, Elias Baedorf Kassis, Bijan Teja, Kadhiresan R. Murugappan, Shahla Siddiqui, Matthias Eikermann

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.

Bibliographic record

VenueCritical Care Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineOdds ratioInternal medicineComa (optics)Retrospective cohort studySeverity of illnessCohort study

Abstract

fetched live from OpenAlex

OBJECTIVES: In patients with coronavirus disease 2019-associated acute respiratory distress syndrome, sedatives and opioids are commonly administered which may lead to increased vulnerability to neurologic dysfunction. We tested the hypothesis that patients with coronavirus disease 2019-associated acute respiratory distress syndrome are at higher risk of in-hospital mortality due to prolonged coma compared with other patients with acute respiratory distress syndrome matched for disease severity. DESIGN: Propensity-matched cohort study. SETTING: Seven ICUs in an academic hospital network, Beth Israel Deaconess Medical Center (Boston, MA). PATIENTS: All mechanically ventilated coronavirus disease 2019 patients between March and May 2020 were identified and matched with patients with acute respiratory distress syndrome of other etiology. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Using clinical data obtained from a hospital registry, we matched 114 coronavirus disease 2019 patients to 228 noncoronavirus disease 2019-related acute respiratory distress syndrome patients based on baseline disease severity. Coma was identified using the Richmond Agitation Sedation Scale less than or equal to -3. Multivariable logistic regression and mediation analyses were used to assess the percentage of comatose days, sedative medications used, and the association between coronavirus disease 2019 and in-hospital mortality. In-hospital mortality (48.3% vs 31.6%, adjusted odds ratio, 2.15; 95% CI, 1.34-3.44; p = 0.002), the percentage of comatose days (66.0% ± 31.3% vs 36.0% ± 36.9%, adjusted difference, 29.35; 95% CI, 21.45-37.24; p < 0.001), and the hypnotic agent dose (51.3% vs 17.1% of maximum hypnotic agent dose given in the cohort; p < 0.001) were higher among patients with coronavirus disease 2019. Brain imaging did not show a higher frequency of structural brain lesions in patients with coronavirus disease 2019 (6.1% vs 7.0%; p = 0.76). Hypnotic agent dose was associated with coma (adjusted coefficient, 0.61; 95% CI, 0.45-0.78; p < 0.001) and mediated (p = 0.001) coma. Coma was associated with in-hospital mortality (adjusted odds ratio, 5.84; 95% CI, 3.58-9.58; p < 0.001) and mediated 59% of in-hospital mortality (p < 0.001). CONCLUSIONS: Compared with matched patients with acute respiratory distress syndrome of other etiology, patients with coronavirus disease 2019 received higher doses of hypnotics, which was associated with prolonged coma and higher mortality.

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)0.013
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 score0.014
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.305
Teacher spread0.296 · 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