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Record W3020551862 · doi:10.1111/jgs.16526

Typically Atypical: <scp>COVID</scp> ‐19 Presenting as a Fall in an Older Adult

2020· letter· en· W3020551862 on OpenAlexaffabout
Richard Norman, Nathan M. Stall, Samir K. Sinha

Bibliographic record

VenueJournal of the American Geriatrics Society · 2020
Typeletter
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsSinai Health SystemToronto General HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineEmergency departmentAtypical pneumoniaPneumoniaPast medical historyPediatricsPulmonary embolismTriageCoronavirus disease 2019 (COVID-19)Emergency medicineInternal medicineDiseaseInfectious disease (medical specialty)Psychiatry

Abstract

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To the Editor: Initial reports of the coronavirus disease 2019 (COVID-19) pandemic described a novel respiratory illness resembling severe acute respiratory syndrome (SARS) clustered around a market in Wuhan, China.1 Since then, there has been a surge of scientific inquiry into the spectrum of disease presentation; however, current case definitions still emphasize fever and respiratory symptoms as the primary presenting symptoms.2 A case we recently saw at Mount Sinai Hospital in Toronto, Canada, illustrates why this definition may be overly restrictive, particularly in older adults, and why clinicians should have a low threshold to consider COVID-19 when assessing older patients. An 83-year-old woman presented to an emergency department following an unwitnessed fall at home, with her only complaint being a vague sense of dizziness that developed that day. She had a medical history of hypertension, type 2 diabetes, and osteoporosis. At triage, she was screened for COVID-19 symptoms and was deemed low risk. She was afebrile and not hypoxic. As there was a question as to whether the fall had a syncopal origin, further investigations were completed. Computed tomography (CT) of the brain showed no infarct or hemorrhage. Cardiac telemetry showed normal sinus rhythm. CT pulmonary angiogram showed no evidence of pulmonary embolism; however, ground glass opacities were identified throughout both lungs. The findings were reported as being possibly consistent with COVID-19 pneumonia. A nasopharyngeal swab for SARS coronavirus 2 (SARS-CoV-2) was collected. She was placed on droplet-contact precautions and admitted to hospital. She soon developed hypoxia with a resting oxygen saturation of 87% and so was initiated on oxygen by nasal prongs. The following morning, her SARS-CoV-2 swab was confirmed positive. The local public health authority was notified, and her direct contacts were placed in self-isolation. She developed a fever of 38.7°C on day 2 of her admission. Laboratory investigations performed after admission revealed several abnormalities that have been previously described,3 including elevated d-dimer, ferritin, and C-reactive protein. She was admitted for 7 days in total. She was weaned off oxygen on day 5 and defervesced on day 6. Her dizziness, which has been described in COVID-19,4 resolved. No orthostatic hypotension5 was identified. Much of the attention regarding care of older adults with COVID-19 has focused on its significant mortality rate (reaching 10%-27% for those >85 years6) or the possible need for rationing of limited resources, such as ventilators. Characterizing the spectrum of illness in older adults with COVID-19 will be important, however, to guide policies, support effective prognostication and decision making, and ensure equitable access to care. Atypical presentation of illness is common in older adults. Symptoms, when present, may be nonspecific, with presentations including falls, delirium, or functional decline.7 Symptoms of chronic conditions may mask acute illness, and sensory or cognitive impairment may limit an older adult's ability to perceive or report symptoms. Signs such as fever may be diminished or absent.8 There is already evidence that screening based on typical symptoms alone, which failed in this case, is insufficient to identify COVID-19 in older adults.9, 10 This has significant implications for both clinical care and infection prevention and control, particularly in congregate living settings such as nursing homes, where frail older adults have experienced disproportionately high COVID-19–related morbidity and mortality. Given this, emerging recommendations are increasingly emphasizing the consideration of COVID-19 in older adults with any significant change from baseline.11 The threshold to test should also be low. In this case, testing was initiated because of an incidental finding on chest imaging. As testing capacity increases, criteria for testing should be continuously reevaluated to ensure timely identification of those infected with COVID-19. We thank the patient and her family for agreeing to share aspects of her story. The authors have no conflicts of interest to report. The authors are solely responsible for this content. Richard Norman prepared the original draft; Nathan Stall and Samir Sinha provided critical revisions and intellectual content. No funding was received for this work.

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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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.035
GPT teacher head0.382
Teacher spread0.347 · 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 designCase report
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".

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Citations48
Published2020
Admission routes2
Has abstractyes

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