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Record W3096263420 · doi:10.7759/cureus.11361

Comparison of the Outcomes of Early Versus Late Tracheostomy in the Treatment of Critically Ill Patients: A Retrospective Multicenter Measurement Study Done in Two Hospital Centers in Lebanon

2020· article· en· W3096263420 on OpenAlexaff
Mohamad Moussa, Ali Mahamat Moussa, Firas Naser, Zaynab Khalaf, Safaa Al Sarout, Nabil Moukarzel, Alfred Dib

Bibliographic record

VenueCureus · 2020
Typearticle
Languageen
FieldMedicine
TopicTracheal and airway disorders
Canadian institutionsHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicineCritically illRetrospective cohort studyIntensive care medicineMulticenter studyEmergency medicineSurgeryRandomized controlled trial

Abstract

fetched live from OpenAlex

Background Benefits of early tracheostomy (ET) versus late tracheostomy (LT) while treating critically ill patients have been a matter of big debate in the last few years. Several meta-analyses tried to prove the benefits of ET in decreasing the duration of mechanical ventilation (MV), the length of intensive care unit (ICU) stay, and the mortality rates. However, no clear guidelines are available yet. This study will focus on comparing the outcomes of early tracheostomy versus late one. Methods This is a retrospective study done in two medical and surgical ICUs at "Sacre-Coeur Hospital" and "Rafik Hariri University Hospital" at Beirut, where we reviewed various files of patients who underwent elective tracheostomy for prolonged MV from January 2015 to June 2016. ET and LT were assumed to be procedures performed respectively before and after 10 days of MV. These two groups were subdivided based on the Acute Physiology and Chronic Health Evaluation II (APACHE II) score calculated in the first 24 hours of ICU admission. Data about short- and long-term mortality, the duration of MV, and the length of ICU stay were collected and compared. Results From a total of 45 patients, only 25 patients met the inclusion and exclusion criteria of whom 12 (48%) underwent ET and 13 (52%) patients underwent LT. In patients with APACHE II <25 (6 ET and 6 LT), ET was associated with 50% long-term mortality, 9.6 days mean duration of MV and 23 days mean length of ICU stay compared to 57% (P-value=0.05), 78 days (P-value=0.04) and 79 days (P-value=0.012) of respective parameters in LT groups. In patients with APACHE II >25 (6 ET and 7 LT), ET was associated with 50% long-term mortality, 8.6 days mean duration of MV and 24 days mean length of ICU stay compared to 84%, 105 days, 84 days of respective parameter in LT groups. Conclusions Our results are suggestive of the superiority of ET because it was associated with a reduced duration of MV, a decrease in the length of ICU stay, and, most importantly, a lower long-term mortality rate.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.336
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), 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".

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Citations4
Published2020
Admission routes1
Has abstractyes

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