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Record W4322755627 · doi:10.1016/j.eclinm.2023.101881

Association of preoperative COVID-19 and postoperative respiratory morbidity during the Omicron epidemic wave: the DROMIS-22 multicentre prospective observational cohort study

2023· article· en· W4322755627 on OpenAlexaff
Marc Garnier, Jean‐Michel Constantin, Raphaël Cinotti, Chafia Daoui, Dimitri Margetis, Grégory Destruhaut, Cédric Cirenei, Éric Noll, Christophe Quesnel, Agnes Lecinq, Sigismond Lasocki, Hélène Charbonneau, Stanislas Abrard, Cyril Quémeneur, Bruno Pastène, Nathanaël Lapidus, Marc Léone, El Mahdi Hafiani, Olivier Imauven, Emmanuel Rineau, Maxime Léger, Marc Danguy des Déserts, Johan Schmitt, Philippe Ariès, Aurélie Gouél‐Cheron, Julia Voulgaropoulos, Laura Soldan, Romain Deransy, Quentin Laurent, Étienne Gayat, Franck Verdonk, Sabrina Chaouche, Amélie Cambriel, Vincent Degos, Julie Dupont, Laura Daoud, Romain Salettes, Malory Favreau, Julien Pottecher, Sophie Diemunsch, Cyril Bidon, Clémence Roy, Laëtitia Ottolenghi, D Charles Edouard, Agnès Lecinq, Frédéric Mercier, Delphine Garrigue, Elsa Jozefowicz, Marie Pariès, Fabien Espitalier, Charlène Piat, Richard Descamps, M. Duchesne, Stéphanie Sigaut, Laurie-Anne Thion, Julie Renard, Elsa Brocas, Besma Zbidi, Mohamed Fki, Guillaume Dufour, Mario Bucciero, Charles-Edouard Rochon, Céline Delerue, Virginie Tréhel-Tursis, Julien Raft, Olivier Rangeard, Claire Thiriet, Kevin Lagarde, Angélina Pollet, Félix Pelen, Anaïs Caillard, Philippe Penven, Olivier Huet, Floriane Puel, Xavier Pichon, Laetitia Ligneres, Pauline Bleuze, Stéphanie Deryckère, Lionel Velly, Pierre Simeone, Hery Andrianjatovo, Youri Chipouline, Mouna Boolad, Denis Frasca, Quentin Plouviez, Benoît Plaud, Éric Roland, Delphine Cheron-Leroy, Samy Figueiredo, Antonia Blanié, Olivier Joannès-Boyau, Simon Monziols, Jean‐Jacques Robin, Matthieu Biais, Hugues de Courson, C. Degryse, Marie Do-Khac, Marie‐Pierre Bonnet, Aurélien Mazeraud, Jean Bardon, Eléonore Bouchereau, Karine Bezulier, Ségolène Mrozek, Nicolas Mayeur, Sandrine Lopez

Bibliographic record

VenueEClinicalMedicine · 2023
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsHotel Dieu Hospital
FundersSociété Française d’Anesthésie et de RéanimationAssistance publique-Hôpitaux de Paris
KeywordsMedicineOdds ratioPneumoniaProspective cohort studyMechanical ventilationCohortCohort studyCoronavirus disease 2019 (COVID-19)Internal medicineSurgery

Abstract

fetched live from OpenAlex

Background Preoperative COVID-19 has been associated with excess postoperative morbi-mortality. Consequently, guidelines were developed that recommended the postponement of surgery for at least 7 weeks after the infection. We hypothesised that vaccination against the SARS-CoV-2 and the large predominance of the Omicron variant attenuated the effect of a preoperative COVID-19 on the occurrence of postoperative respiratory morbidity. Methods We conducted a prospective cohort study in 41 French centres between 15 March and 30 May 2022 (ClinicalTrials NCT05336110), aimed at comparing the postoperative respiratory morbidity between patients with and without preoperative COVID-19 within 8 weeks prior to surgery. The primary outcome was a composite outcome combining the occurrence of pneumonia, acute respiratory failure, unexpected mechanical ventilation, and pulmonary embolism within the first 30 postoperative days. Secondary outcomes were 30-day mortality, hospital length-of-stay, readmissions, and non-respiratory infections. The sample size was determined to have 90% power to identify a doubling of the primary outcome rate. Adjusted analyses were performed using propensity score modelling and inverse probability weighting. Findings Of the 4928 patients assessed for the primary outcome, of whom 92.4% were vaccinated against the SARS-CoV-2, 705 had preoperative COVID-19. The primary outcome was reported in 140 (2.8%) patients. An 8-week preoperative COVID-19 was not associated with increased postoperative respiratory morbidity (odds ratio 1.08 [95% CI 0.48–2.13]; p = 0.83). None of the secondary outcomes differed between the two groups. Sensitivity analyses concerning the timing between COVID-19 and surgery, and the clinical presentations of preoperative COVID-19 did not show any association with the primary outcome, except for COVID-19 patients with ongoing symptoms the day of surgery (OR 4.29 [1.02–15.8]; p = 0.04). Interpretation In our Omicron-predominant, highly immunised population undergoing general surgery, a preoperative COVID-19 was not associated with increased postoperative respiratory morbidity. Funding The study was fully funded by the French Society of Anaesthesiology and Intensive Care Medicine (SFAR).

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)0.006
metaresearch head score (Gemma)0.033
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 score0.081
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.154
GPT teacher head0.450
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations25
Published2023
Admission routes1
Has abstractyes

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