Self-Rated Smell Ability Enables Highly Specific Predictors of COVID-19 Status: A Case–Control Study in Israel

Author:

Karni Noam12,Klein Hadar3ORCID,Asseo Kim3,Benjamini Yuval4,Israel Sarah12,Nammary Musa12,Olshtain-Pops Keren52,Nir-Paz Ran52ORCID,Hershko Alon12,Muszkat Mordechai12,Niv Masha Y3ORCID

Affiliation:

1. Department of Medicine, Hadassah University Hospital, Mt. Scopus Campus, Jerusalem, Israel

2. Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel

3. The Institute of Biochemistry, Food and Nutrition, The Faculty of Agriculture, Food and Environment, The Hebrew University, Rehovot, Israel

4. Department of Statistics, The Hebrew University, Mt. Scopus Campus, Jerusalem, Israel

5. Department of Clinical Microbiology and Infectious Diseases, Hadassah-Hebrew University Medical Center, Jerusalem, Israel

Abstract

Abstract Background Clinical diagnosis of coronavirus disease 2019 (COVID-19) is essential to the detection and prevention of COVID-19. Sudden onset of loss of taste and smell is a hallmark of COVID-19, and optimal ways for including these symptoms in the screening of patients and distinguishing COVID-19 from other acute viral diseases should be established. Methods We performed a case–control study of patients who were polymerase chain reaction–tested for COVID-19 (112 positive and 112 negative participants), recruited during the first wave (March 2020–May 2020) of the COVID-19 pandemic in Israel. Patients reported their symptoms and medical history by phone and rated their olfactory and gustatory abilities before and during their illness on a 1–10 scale. Results  Changes in smell and taste occurred in 68% (95% CI, 60%–76%) and 72% (95% CI, 64%–80%) of positive patients, with odds ratios of 24 (range, 11–53) and 12 (range, 6–23), respectively. The ability to smell was decreased by 0.5 ± 1.5 in negatives and by 4.5 ± 3.6 in positives. A penalized logistic regression classifier based on 5 symptoms had 66% sensitivity, 97% specificity, and an area under the receiver operating characteristics curve (AUC) of 0.83 on a holdout set. A classifier based on degree of smell change was almost as good, with 66% sensitivity, 97% specificity, and 0.81 AUC. The predictive positive value of this classifier was 0.68, and the negative predictive value was 0.97. Conclusions Self-reported quantitative olfactory changes, either alone or combined with other symptoms, provide a specific tool for clinical diagnosis of COVID-19. A simple calculator for prioritizing COVID-19 laboratory testing is presented here.

Funder

Israel Science Foundation

Edmond de Rothschild Foundation

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Oncology

Reference22 articles.

1. A novel coronavirus from patients with pneumonia in China, 2019;Zhu;N Engl J Med,2020

2. Anosmia and ageusia as initial or unique symptoms after SARS-COV-2 virus infection;Machado

3. Time course of anosmia and dysgeusia in patients with mild SARS-CoV-2 infection;Levinson;Infect Dis (Lond),2020

4. Smell dysfunction: a biomarker for COVID-19;Moein;Int Forum Allergy Rhinol,2020

5. COVID-19 and anosmia in Tehran, Iran;Gilani;Med Hypotheses,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3