MétaCan
Menu
Back to cohort

Severe acute respiratory distress syndrome (SARS): A critical care perspective

2003· review· en· W2094233547 on OpenAlexaffabout
Sanjay Manocha, Keith R. Walley, James A. Russell

Bibliographic record

VenueCritical Care Medicine · 2003
Typereview
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineIntensive care unitIntensive care medicineEpidemiologyMortality rateIntensive careEtiologyLethargyEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To review the epidemiology, clinical features, etiology, diagnosis, and management of severe acute respiratory syndrome (SARS) from a critical care perspective. DATA SOURCES: A MEDLINE search was performed using the following terms: severe acute respiratory syndrome and SARS virus. Additional information and references were obtained from the Web sites for the Centers for Disease Control and Prevention, World Health Organization, and Health Canada. STUDY SELECTION: Recent case series were used to develop a review of the epidemiology, clinical features, outcomes, and management of patients with SARS from an intensive care unit (ICU) perspective. This was supplemented by epidemiology information obtained from other Web-based sources. Recent published studies describing the etiology of SARS were also included. DATA SYNTHESIS: SARS has rapidly spread from Southeast Asia to numerous countries, including Canada and the United States. A new coronavirus has been isolated and detected from many affected patients. The mortality rate worldwide is approximately 10.5%. From five cohorts, the ICU admission rate ranged from 20% to 38%. Fifty-nine percent to 100% of the ICU patients required mechanical ventilatory support. The mortality rate of SARS patients admitted to the ICU ranged from 5% to 67%. The most common clinical symptoms and signs are fever, cough, dyspnea, myalgias, malaise, and inspiratory crackles. Common laboratory abnormalities included mild leukopenia, lymphopenia, and increased aspartate transaminase, alanine transaminase, lactic dehydrogenase, and creatine kinase. The chest radiograph pattern ranged from focal infiltrates to diffuse airspace disease. Management consisted of isolation, strict respiratory and contact precautions, ventilatory support as needed, empiric broad-spectrum antibiotics, ribavirin, and corticosteroids. Predictors of mortality included advanced age, the presence of comorbidities, and a high lactic dehydrogenase or high neutrophil count at admission. CONCLUSIONS: SARS is a highly contagious, infectious process that can advance to significant hypoxemic respiratory failure requiring ICU monitoring and support. Early recognition is critical for effective management and containment of this disease.

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)0.001
metaresearch head score (Gemma)0.181
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.902
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.181
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0010.001
Science and technology studies0.0000.006
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.004
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 head0.137
GPT teacher head0.544
Teacher spread0.406 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations82
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueCritical Care MedicineSame topicCOVID-19 Clinical Research StudiesFrench-language works237,207