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akaturk Academic measurement

Article detail · 2021

Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms

Journal

Chemical Senses

ISSN 0379-864X

YÖKSİS OpenAlex Open access · bronze SJR Q2 JCR Q1 Citations 184 Top 10% Percentile 99.0% FWCI 10.4
Year
2021
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue CHEMICAL SENSES
  • Catalog match (ISSN) Chemical Senses
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

In a preregistered, cross-sectional study, we investigated whether olfactory loss is a reliable predictor of COVID-19 using a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0-100 visual analog scales (VAS) for participants reporting a positive (C19+; n = 4148) or negative (C19-; n = 546) COVID-19 laboratory test outcome. Logistic regression models identified univariate and multivariate predictors of COVID-19 status and post-COVID-19 olfactory recovery. Both C19+ and C19- groups exhibited smell loss, but it was significantly larger in C19+ participants (mean ± SD, C19+: -82.5 ± 27.2 points; C19-: -59.8 ± 37.7). Smell loss during illness was the best predictor of COVID-19 in both univariate and multivariate models (ROC AUC = 0.72). Additional variables provide negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms (e.g., fever). Olfactory recovery within 40 days of respiratory symptom onset was reported for ~50% of participants and was best predicted by time since respiratory symptom onset. We find that quantified smell loss is the best predictor of COVID-19 amongst those with symptoms of respiratory illness. To aid clinicians and contact tracers in identifying individuals with a high likelihood of having COVID-19, we propose a novel 0-10 scale to screen for recent olfactory loss, the ODoR-19. We find that numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (4 < OR < 10). Once independently validated, this tool could be deployed when viral lab tests are impractical or unavailable.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

184 citations

OpenAlex cited_by_count (cache / database)

13 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. Position paper on olfactory dysfunction: 2023 2023 Citations 181 · OpenAlex
  2. A follow-up on quantitative and qualitative olfactory dysfunction and other symptoms in patients recovering from COVID-19 smell loss 2022 Citations 85 · OpenAlex
  3. A follow-up on quantitative and qualitative olfactory dysfunction and other symptoms in patients recovering from COVID-19 smell loss 2022 Citations 85 · OpenAlex
  4. Increasing incidence of parosmia and phantosmia in patients recovering from COVID-19 smell loss 2021 Citations 25 · OpenAlex
  5. Covid-19 affects taste independent of taste–smell confusions: results from a combined chemosensory home test and online survey from a large global cohort 2023 Citations 23 · OpenAlex
  6. Massively collaborative crowdsourced research on COVID19 and the chemical senses: insights and outcomes 2021 Citations 12 · OpenAlex
  7. Covid-19 affects taste independently of smell: results from a combined chemosensory home test and online survey from a global cohort (N=10,953) 2023 Citations 7 · OpenAlex
  8. COVID-19 Related Chemosensory Changes in Individuals with Self-Reported Obesity 2021 Citations 2 · OpenAlex
  9. Clinical, Prognostic, and Predictive Value of Olfactory Dysfunction for COVID-19: A Prospective Controlled Study 2022 Citations 1 · OpenAlex
  10. Clinical, Prognostic, and Predictive Value of Olfactory Dysfunction for COVID-19: A Prospective Controlled Study 2022 Citations 1 · OpenAlex

Authors

  1. Richard C Gerkin
  2. Kathrin Ohla
  3. Paule V Joseph
  4. Christine E Kelly
  5. Alyssa J Bakke
  6. Kimberley E Steele
  7. Michael C Farruggia
  8. Robert Pellegrino
  9. Yanina M Pepino
  10. Cédric Bouysset
  11. Graciela M Soler
  12. Veronica Pereda-Loth
  13. Michele Dibattista
  14. Keiland W Cooper
  15. Ilja Croijmans
  16. Antonella Di Pizio
  17. MEHMET HAKAN ÖZDENER
  18. Alexander W Fjaeldstad
  19. Cailu Lin
  20. Mari A Sandell
  21. Preet B Singh
  22. V Evelyn Brindha
  23. Shannon B Olsson
  24. Luis R Saraiva
  25. Gaurav Ahuja
  26. Mohammed K Alwashahi
  27. Surabhi Bhutani
  28. Anna D’Errico
  29. Marco A Fornazieri
  30. Jérôme Golebiowski
  31. Liang Dar Hwang
  32. Lina Öztürk
  33. Eugeni Roura
  34. Sara Spinelli
  35. Katherine L Whitcroft
  36. Farhoud Faraji
  37. Florian Ph S Fischmeister
  38. Thomas Heinbockel
  39. Julien W Hsieh
  40. Caroline Huart
  41. Iordanis Konstantinidis
  42. Anna Menini
  43. Gabriella Morini
  44. Jonas K Olofsson
  45. Carl M Philpott
  46. Denis Pierron
  47. Vonnie DC Shields
  48. Vera V Voznessenskaya
  49. Javier Albayay
  50. AYTUĞ ALTUNDAĞ
  51. Moustafa Bensafi
  52. María Adelaida Bock
  53. Orietta Calcinoni
  54. William Fredborg
  55. Christophe Laudamiel
  56. Juyun Lim
  57. Johan Lundström
  58. Alberto Macchi
  59. Pablo Meyer
  60. Shima T Moein
  61. Enrique Santamaría
  62. Debarka Sengupta
  63. Paloma Rohlfs Dominguez
  64. HÜSEYİN YANIK
  65. Thomas Hummel
  66. John E Hayes
  67. Danielle R Reed
  68. Masha Y Niv
  69. Steven D Munger
  70. Valentina Parma
  71. GCCR group author
  72. MARİA GERALDİNE VELDHUİZEN MERSİN ÜNİVERSİTESİ