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Record W4406750176 · doi:10.1016/j.medin.2024.502123

Prácticas de analgosedación y delirium en pacientes críticos de la región Panamericana e Ibérica y factores asociados a la sobresedación tras la pandemia COVID-19: resultados del estudio PANDEMIC

2025· article· es· W4406750176 on OpenAlexaff
Carola Giménez-Esparza Vich, Felipe Martínez, Daniela Olmos Kutscherauer, M. Gallardo, Enrique M. Olivares-Durán, Rosa Reina, M. García Sánchez, Federico Carini

Bibliographic record

VenueMedicina Intensiva · 2025
Typearticle
Languagees
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineDeliriumCoronavirus disease 2019 (COVID-19)HumanitiesPsychiatryInternal medicineDisease

Abstract

fetched live from OpenAlex

Resumen La sobresedación tiene consecuencias negativas en pacientes críticos. Desde el Comité de Analgosedación y Delirium de la Federación Panamericana e Ibérica de Medicina Crítica y Terapia Intensiva (FEPIMCTI) diseñamos un estudio transversal mediante encuesta dirigida a médicos/as de UCI: PANDEMIC (estudio Panamericano e Ibérico sobre manejo de ANalgosedación y DEliriuM en Cuidados Críticos [fepImCti]). Hipótesis Empeoramiento de dichas prácticas durante la pandemia que persistieron tras ella, con mayor sobresedación. Objetivos Percepción de prácticas de analgosedación y delirium en las UCI de las regiones Panamericana e Ibérica antes, durante y después de la pandemia COVID-19 y factores asociados a persistencia de la sobresedación pospandemia. De los 1.008 encuestados, el 25% informaron percepción de sobresedación tras la pandemia (IC 95%: 22,4%-27,8%), mayor en Sudamérica (35,8%; p < 0,001). Principal factor riesgo: hábito adquirido durante la pandemia (OR ajustado [aOR]: 3,16; IC 95%: 2,24-4,45; p < 0,001). Principal factor protector: monitorización delirium (aOR: 0,70; IC 95%: 0,50-0,98; p = 0,038) previo a la pandemia. Estos factores identificados en el estudio ofrecen una base para dirigir intervenciones futuras.

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)0.005
metaresearch head score (Gemma)0.400
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.400
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.004
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 head0.016
GPT teacher head0.366
Teacher spread0.350 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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