Eosinophils and COVID-19 prognosis

Ferchichi, M.; Khalfallah, I.; Louhaichi, S.; Boubaker, N.; Ammar, Jamel; Hamdi, B.; Hamzaoui, A.

doi:10.1183/13993003.congress-2021.pa3621

Cited by 2 publications

(1 citation statement)

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“…Furthermore, eosinophilia (as a marker of underlying eosinophilic inflammation) has a prominent diagnostic and phenotyping role in asthma, and an emerging role in COPD management [ 2 , 5 , 21 – 24 ]. Since the beginning of the SARS-CoV‑2 pandemic, several studies recognized the potential role of eosinophil count in disease prognosis, mostly associating eosinopenia with poor outcomes [ 25 – 28 ]. Additionally, eosinopenia has also been associated with poor outcomes in patients with bacterial infections [ 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

Investigating the role of obstructive pulmonary diseases and eosinophil count at admission on all-cause mortality in SARS-CoV-2 patients

Salai

Vražić

Kovačević

et al. 2023

Wien Klin Wochenschr

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Introduction The impact of asthma and chronic obstructive pulmonary disease (COPD) in the setting of severe acute respiratory syndrome coronavirus 2 (SARS-CoV‑2) infection is not clearly defined. Blood eosinophil count is a standard diagnostic test which, according to the previously published literature, might have a potential prognostic role on mortality in patients with SARS-CoV‑2 infection. Aim To investigate the potential prognostic value of peripheral blood eosinophil count on all-cause mortality of patients hospitalized with SARS-CoV‑2 infection, as well as to assess the impact of asthma or COPD premorbidity on all-cause mortality. Material and methods We conducted a retrospective registry-based cohort study. Survival analysis was performed by employing the Cox proportional hazards regression model at 30 days of follow-up. Prognostic value of eosinophil count on all-cause mortality was assessed using receiver-operating characteristic (ROC) curve analysis. Results A total of 5653 participants were included in the study. Our model did not reveal that pre-existing asthma or COPD is a statistically significant covariate for all-cause mortality but, indicated that higher eosinophil count at admission might have a protective effect (hazard ratio, HR 0.13 (95% confidence interval, CI 0.06–0.27), p = 0.0001). ROC curve analysis indicates cut-off value of 20 cells/mm 3 (81% specificity; 30.9% sensitivity). Conclusion Our results indicate that eosinophil count at hospital admission might have a potential prognostic role for all-cause mortality at 30 days of follow-up; however this was not demonstrated for pre-existing obstructive lung diseases.

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