Typically Atypical: <scp>COVID</scp> ‐19 Presenting as a Fall in an Older Adult
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,007 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».