Evaluation of the influenza-like illness case definition and the acute respiratory infection case definition in the diagnosis of influenza and COVID-19 in healthcare personnel
IF 2.7 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Helena C. Maltezou , Flora Sourri , Nikolaos Lemonakis , Amalia Karapanou , Theodoros V. Giannouchos , Maria N. Gamaletsou , Dimitra-Maria Koukou , Kyriakos Souliotis , Athanasia Lourida , Periklis Panagopoulos , Dimitrios Hatzigeorgiou , Nikolaos V. Sipsas
{"title":"Evaluation of the influenza-like illness case definition and the acute respiratory infection case definition in the diagnosis of influenza and COVID-19 in healthcare personnel","authors":"Helena C. Maltezou , Flora Sourri , Nikolaos Lemonakis , Amalia Karapanou , Theodoros V. Giannouchos , Maria N. Gamaletsou , Dimitra-Maria Koukou , Kyriakos Souliotis , Athanasia Lourida , Periklis Panagopoulos , Dimitrios Hatzigeorgiou , Nikolaos V. Sipsas","doi":"10.1016/j.idh.2024.08.002","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>To evaluate the influenza-like illness (ILI) and acute respiratory infection (ARI) case definitions in the diagnosis of COVID-19 and influenza in healthcare personnel (HCP).</div></div><div><h3>Methods</h3><div>We followed a cohort of 5752 HCP from November 2022 to May 2023. Symptomatic HCP were tested for SARS-CoV-2 and influenza by real-time PCR and/or rapid antigen detection test. ILI was defined as the sudden onset of ≥1 systemic symptom and ≥1 respiratory symptom. ARI was defined as the sudden onset of ≥1 respiratory symptom. Patients with respiratory symptoms were grouped either as ILI or as ARI based on the presence of fever, malaise, headache and/or myalgia.</div></div><div><h3>Results</h3><div>Overall, 466 ILI cases and 383 ARI cases occurred. HCP with ILI had an adjusted odds ratio (aOR) of 22.05 [95% confidence interval (CI): 6.23–78.04] to be diagnosed with influenza. HCP with ARI had an aOR of 2.70 (95% CI: 1.88–3.88) to be diagnosed with COVID-19. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ILI for influenza were 96.6%, 49.9%, 18.2%, and 99.2%, respectively. The sensitivity, specificity, PPV, and NPV of ARI for COVID-19 were 51.7%, 73.6%, 84.9%, and 34.8%, respectively. ILI and ARI had an overall correct classification rate of 89.6% and 74.1%, respectively.</div></div><div><h3>Conclusion</h3><div>Our findings support the use of both ILI and ARI case definitions in the diagnosis of influenza and COVID-19 in HCP.</div></div>","PeriodicalId":45006,"journal":{"name":"Infection Disease & Health","volume":"30 1","pages":"Pages 23-27"},"PeriodicalIF":2.7000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection Disease & Health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468045124000658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background
To evaluate the influenza-like illness (ILI) and acute respiratory infection (ARI) case definitions in the diagnosis of COVID-19 and influenza in healthcare personnel (HCP).
Methods
We followed a cohort of 5752 HCP from November 2022 to May 2023. Symptomatic HCP were tested for SARS-CoV-2 and influenza by real-time PCR and/or rapid antigen detection test. ILI was defined as the sudden onset of ≥1 systemic symptom and ≥1 respiratory symptom. ARI was defined as the sudden onset of ≥1 respiratory symptom. Patients with respiratory symptoms were grouped either as ILI or as ARI based on the presence of fever, malaise, headache and/or myalgia.
Results
Overall, 466 ILI cases and 383 ARI cases occurred. HCP with ILI had an adjusted odds ratio (aOR) of 22.05 [95% confidence interval (CI): 6.23–78.04] to be diagnosed with influenza. HCP with ARI had an aOR of 2.70 (95% CI: 1.88–3.88) to be diagnosed with COVID-19. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ILI for influenza were 96.6%, 49.9%, 18.2%, and 99.2%, respectively. The sensitivity, specificity, PPV, and NPV of ARI for COVID-19 were 51.7%, 73.6%, 84.9%, and 34.8%, respectively. ILI and ARI had an overall correct classification rate of 89.6% and 74.1%, respectively.
Conclusion
Our findings support the use of both ILI and ARI case definitions in the diagnosis of influenza and COVID-19 in HCP.
期刊介绍:
The journal aims to be a platform for the publication and dissemination of knowledge in the area of infection and disease causing infection in humans. The journal is quarterly and publishes research, reviews, concise communications, commentary and other articles concerned with infection and disease affecting the health of an individual, organisation or population. The original and important articles in the journal investigate, report or discuss infection prevention and control; clinical, social, epidemiological or public health aspects of infectious disease; policy and planning for the control of infections; zoonoses; and vaccination related to disease in human health. Infection, Disease & Health provides a platform for the publication and dissemination of original knowledge at the nexus of the areas infection, Disease and health in a One Health context. One Health recognizes that the health of people is connected to the health of animals and the environment. One Health encourages and advances the collaborative efforts of multiple disciplines-working locally, nationally, and globally-to achieve the best health for people, animals, and our environment. This approach is fundamental because 6 out of every 10 infectious diseases in humans are zoonotic, or spread from animals. We would be expected to report or discuss infection prevention and control; clinical, social, epidemiological or public health aspects of infectious disease; policy and planning for the control of infections; zoonosis; and vaccination related to disease in human health. The Journal seeks to bring together knowledge from all specialties involved in infection research and clinical practice, and present the best work in this ever-changing field. The audience of the journal includes researchers, clinicians, health workers and public policy professionals concerned with infection, disease and health.