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Record W3088049954 · doi:10.1080/00207454.2020.1825422

Altered mental status in 71 deaths due to COVID-19

2020· review· en· W3088049954 on OpenAlexaff
Brad Tyson, László A. Erdődi, Sudeshna Ray, Pinky Agarwal

Bibliographic record

VenueInternational Journal of Neuroscience · 2020
Typereview
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsAltered Mental StatusMedicineDementiaComorbidityDiseaseCoronavirus disease 2019 (COVID-19)PediatricsPsychiatryEmergency medicineInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this study was to investigate the occurrence of neurologic symptoms with a focus on altered mental status in a sample of deaths due to COVID-19. METHODS: We reviewed neurologic symptoms in 71 deaths due to COVID-19 at the first US hospital with reported cases, of which 66 (93%) had medical comorbidities, 47 (66%) came from assisted living facilities or nursing homes and 35 (49%) had baseline dementia. RESULTS: Sixty-one patients (86%) demonstrated neurologic symptoms at hospital admission. Altered mental status was seen in 47 patients (66%) and represented the most common neurologic symptom. Seven patients (10%) were comatose at hospital admission and 5 (7%) presented with altered mental status without respiratory symptoms. Three patients had seizures and two had strokes. Hypertension (61%), cardiovascular disease (59%), and dementia (49%) were the most common comorbidities associated with death due to COVID-19 in our sample. CONCLUSIONS: Neurologic symptoms, particularly altered mental status, are very common in COVID-19 patients with high risk of mortality. In a small subset of patients, altered mental status is the defining feature of disease presentation. A mental status examination should be incorporated in the medical assessment of COVID-19.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.072
GPT teacher head0.439
Teacher spread0.367 · 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
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

Citations16
Published2020
Admission routes1
Has abstractyes

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