A Unique Presentation of Delirium in a Patient with Otherwise Asymptomatic <scp>COVID</scp> ‐19
Bibliographic record
Abstract
OBJECTIVE: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), manifests with a wide spectrum of presentations. Most reports of COVID-19 highlight fever and upper respiratory symptoms as the dominant initial presentations, consistent with the World Health Organization guidelines regarding suspected SARS-CoV-2 infection. However, atypical presentations of this disease have been evolving since the initial outbreak of the pandemic in December 2019. We report a case of an older male patient who presented at our hospital with an unusual manifestation of COVID-19. DESIGN: Brief report. SETTING: A university hospital in Saudi Arabia. PARTICIPANT: A 73-year-old man who presented with confusion in the absence of any respiratory symptoms or fever. INTERVENTION: The patient was initially admitted with delirium and underwent a further work-up. MEASUREMENTS: Given his recent history of domestic travel and the declaration of a global COVID-19 pandemic status, the patient was administered a swab test for SARS-CoV-2. RESULTS: The patient's positive test led to a diagnosis of COVID-19. Although he began to experience a spiking fever and mild upper respiratory symptoms, he recovered rapidly with no residual sequela. CONCLUSION: The recognition of atypical presentations of COVID-19 infection, such as delirium, is critical to the timely diagnosis, provision of appropriate care, and avoidance of outbreaks within healthcare facilities during this pandemic. J Am Geriatr Soc 68:1382-1384, 2020.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".