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Record W2981463336 · doi:10.1093/ofid/ofz360.2126

2448. Clinical Presentation and Outcomes of Long-Term Care Residents with Coronavirus Respiratory Infection: A Retrospective Cohort Study

2019· article· en· W2981463336 on OpenAlexaff
Victoria R. Williams, Dariusz Pajak, Natasha Salt, Jerome A. Leis

Bibliographic record

VenueOpen Forum Infectious Diseases · 2019
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineSore throatRetrospective cohort studyNoseOutbreakPneumoniaEpidemiologyCohortNasal congestionPediatricsInternal medicineCohort studySurgeryPathology

Abstract

fetched live from OpenAlex

Abstract Background Human coronaviruses (CoVs) are a major cause of respiratory infection and institutional outbreaks, yet the epidemiology and clinical outcomes of these viruses is poorly described among the elderly residing in long-term care facilities (LTCFs). Methods We performed a retrospective cohort study of LTCF residents with positive nasopharyngeal or mid-turbinate swabs for CoVs (OC43, 229E, NL63 and HKU1) between January 2013 and December 2018. Demographic and clinical data were obtained from resident charts including clinical presentation, treatment, outcome, and transmission to other residents. Variables were compared using univariate analysis. Results 3268 residents met inclusion criteria (median age 93 years, 90% male) comprising 7.5% (246/3268) of all positive respiratory virus specimens detected during the study period. 97(39%) of cases were associated with a respiratory outbreak while 149(61%) were sporadic cases that did not result in transmission. OC43 (52%) was the most commonly identified CoV and was more commonly associated with outbreak cases (76% vs. 37%; P < 0.001). In total, 87% of all cases had two or more of runny nose/congestion, cough, sore throat/hoarse voice or fever. The most common symptoms among residents were cough (85%), runny nose/congestion (79%), and sore throat/hoarse voice (59%) and only 17% of residents had a measured temperature of ≥ 37.8C. Only 6% of residents received antibiotic treatment for suspected secondary bacterial pneumonia. The 30-day mortality rate was 3.7% with 67% of deaths attributable to the CoV infection. There was no statistically significant difference in symptoms, treatment or outcomes associated with outbreaks or seasonality. Conclusion CoVs make up an important proportion of respiratory viral infections among LTCF residents and may result in frequent outbreaks. Most residents remain afebrile and have self-limited illness while only a small minority develop secondary bacterial pneumonia and death. Given these findings the benefits of control measures should be weighed against the impact on resident quality of life. Disclosures All authors: No reported disclosures.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.010
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.050
GPT teacher head0.451
Teacher spread0.400 · 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.

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

Citations2
Published2019
Admission routes1
Has abstractyes

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