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Record W2469580491 · doi:10.1097/ccm.0000000000001830

Influenza A (H1N1pdm09)-Related Critical Illness and Mortality in Mexico and Canada, 2014*

2016· article· en· W2469580491 on OpenAlexaffabout
Guillermo Domínguez‐Cherit, Alethse de la Torre, Asgar Rishu, Ruxandra Pinto, Silvio A. Ñamendys‐Silva, Adrián Camacho-Ortíz, Marco Antonio Silva-Medina, Carmen Margarita Hernández‐Cardenas, Michel Martínez‐Franco, Alejandro Quesada-Sánchez, Guadalupe Celia López-Gallegos, Juan Luis Mosqueda-Gómez, Norma E. Rivera-Martínez, Fernando Campos-Calderón, Eduardo Rivero-Sigarroa, Thierry Hernández‐Gilsoul, Lourdes Espinosa-Pérez, Alejandro E. Macías, Dolores M. Lue-Martínez, Christian Buelna-Cano, Ana-Sofía Ramírez-García Luna, Néstor G Cruz-Ruiz, Manuel Poblano-Morales, Fernando Molinar-Ramos, Martín Hernández-Torre, Marco Antonio León-Gutiérrez, Oscar Rosaldo-Abundis, José Ángel Baltazar-Torres, Henry T. Stelfox, Bruce Light, Philippe Jouvet, Steve Reynolds, Richard Hall, Nikki Shindo, Nick Daneman, Robert Fowler

Bibliographic record

VenueCritical Care Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsRoyal Columbian HospitalQueen Elizabeth II Health Sciences CentreUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineSt. Boniface HospitalFoothills Medical CentreCalgary General HospitalHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersWorld Health Organization
KeywordsMedicineOdds ratioMechanical ventilationIntensive care unitMortality rateExtracorporeal membrane oxygenationInternal medicineDemography

Abstract

fetched live from OpenAlex

OBJECTIVES: The 2009-2010 influenza A (H1N1pdm09) pandemic caused substantial morbidity and mortality among young patients; however, mortality estimates have been confounded by regional differences in eligibility criteria and inclusion of selected populations. In 2013-2014, H1N1pdm09 became North America's dominant seasonal influenza strain. Our objective was to compare the baseline characteristics, resources, and treatments with outcomes among critically ill patients with influenza A (H1N1pdm09) in Mexican and Canadian hospitals in 2014 using consistent eligibility criteria. DESIGN: Observational study and a survey of available healthcare setting resources. SETTING: Twenty-one hospitals, 13 in Mexico and eight in Canada. PATIENTS: Critically ill patients with confirmed H1N1pdm09 during 2013-2014 influenza season. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The main outcome measures were 90-day mortality and independent predictors of mortality. Among 165 adult patients with H1N1pdm09-related critical illness between September 2013 and March 2014, mean age was 48.3 years, 64% were males, and nearly all influenza was community acquired. Patients were severely hypoxic (median PaO2-to-FIO2 ratio, 83 mm Hg), 97% received mechanical ventilation, with mean positive end-expiratory pressure of 14 cm H2O at the onset of critical illness and 26.7% received rescue oxygenation therapy with prone ventilation, extracorporeal life support, high-frequency oscillatory ventilation, or inhaled nitric oxide. At 90 days, mortality was 34.6% (13.9% in Canada vs 50.5% in Mexico, p < 0.0001). Independent predictors of mortality included lower presenting PaO2-to-FIO2 ratio (odds ratio, 0.89 per 10-point increase [95% CI, 0.80-0.99]), age (odds ratio, 1.49 per 10 yr increment [95% CI, 1.10-2.02]), and requiring critical care in Mexico (odds ratio, 7.76 [95% CI, 2.02-27.35]). ICUs in Canada generally had more beds, ventilators, healthcare personnel, and rescue oxygenation therapies. CONCLUSIONS: Influenza A (H1N1pdm09)-related critical illness still predominantly affects relatively young to middle-aged patients and is associated with severe hypoxemic respiratory failure. The local critical care system and available resources may be influential determinants of patient outcome.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.023
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.052
GPT teacher head0.407
Teacher spread0.355 · 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".

Quick stats

Citations30
Published2016
Admission routes2
Has abstractyes

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