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Record W2921056018 · doi:10.29390/cjrt-2018-019

Whole-lung lavage for severe pulmonary alveolar proteinosis assisted by veno-venous extracorporeal membrane oxygenation: a case report

2019· article· en· W2921056018 on OpenAlexvenueno aff
J. F. Moreira, Sofia Ferraz, Cláudia Freitas, António Morais, Roberto Freire da Mota e Albuquerque, Carlos Fiuza

Bibliographic record

VenueCanadian Journal of Respiratory Therapy · 2019
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineExtracorporeal membrane oxygenationPulmonary alveolar proteinosisRespiratory failureHypoxemiaLungExtracorporealAnesthesiaIntensive care medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Pulmonary alveolar proteinosis (PAP) is a rare pathology characterized by accumulation of phospholipoproteinaceous material within the alveoli. The evolution of PAP is variable and treatment modalities are limited. Pharmacological therapeutic targets are being actively developed, but whole-lung lavage (WLL), first described in the 1960s, remains the cornerstone of therapy. The preferential treatment for PAP in our center is sequential WLL, where each lung is separately and sequentially perfused with warmed saline. However, some patients do not tolerate single lung ventilation (SLV), as there is a greater risk of severe hypoxemia with this method. Extracorporeal membrane oxygenation (ECMO), referring to an extracorporeal circuit that directly oxygenates and removes carbon dioxide from the blood, may be considered in highly selected patients with severe respiratory failure who otherwise would not be able to undergo WLL. In this context, veno-venous ECMO is most often utilized. We describe a case of a 44-year-old male diagnosed with silicosis five years earlier who presented with severe hypoxemic respiratory failure not amenable to WLL under general anesthesia with SLV, which was successfully managed with ECMO-assisted WLL.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.861
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.329
Teacher spread0.284 · 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.

Study designNot applicable
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

Citations15
Published2019
Admission routes1
Has abstractyes

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