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. 2024 Oct 18;14(20):2320.
doi: 10.3390/diagnostics14202320.

Blood Eosinophils Matter in Post-COVID-19 Pneumonia

Nicol Bernardinello  1 , Gioele Castelli  1 , Dylan Pasin  1 , Giulia Grisostomi  1 , Marco Cola  2 , Chiara Giraudo  3 , Elisabetta Cocconcelli  1 , Annamaria Cattelan  2 , Paolo Spagnolo  1 , Elisabetta Balestro  1
Affiliations

Blood Eosinophils Matter in Post-COVID-19 Pneumonia

Nicol Bernardinello et al. Diagnostics (Basel). .

Abstract

Background: Even after the development of vaccines, SARS-CoV-2 continues to cause severe pneumonia all over the world. Consequently, in order to improve the management of patients and optimize the use of resources, predictors of disease severity and lung complications after COVID-19 pneumonia are urgently needed. Blood cell count is an easily available and reproducible biomarker. With this study, we aimed to explore the role of eosinophils in predicting disease behavior and pulmonary sequelae at first follow-up with computed tomography (CT).

Methods: we evaluated blood cell count and other inflammatory markers, both at baseline and during hospitalization, in a large population of hospitalized COVID-19 patients.

Results: 327 patients were finally enrolled, 214 were classified as low-intensity medical care (LIMC) and 113 as high-intensity medical care. Eosinophils were higher at discharge in the HIMC group [0.1 (0-0.72) vs. 0.05 (0-0.34) × 109/L; p < 0.0001]. Moreover, in the multivariable analysis, age ≥ 62 years (OR 1.76 (1.05-2.8) p = 0.03) and Δ eosinophils ≥ 0.05 (OR 1.75 (1.05-2.9) p = 0.03) were two independent predictors of residual lung abnormalities in the whole patient population at first follow-up.

Conclusions: an eosinophil increase during hospitalization could be a potential predictor of pulmonary sequelae in surviving patients after COVID-19 pneumonia.

Keywords: COVID-19 pneumonia; chest CT scan; eosinophils; lung abnormalities; prognostic markers.

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Conflict of interest statement

The authors declare no conflicts of interest regarding this paper.

Figures

Figure 1
Figure 1
Eosinophil trends from admission to hospital discharge in HIMC and LIMC groups. Wilcoxon signed-rank test was used to compare eosinophil values between admission and discharge in HIMC patients (p < 0.0001) and LIMC patients (p < 0.0001). HIMC: high-intensity medical care; LIMC: low-intensity medical care.
Figure 2
Figure 2
Example of chest CT scan 3 months after hospital discharge. Panel (A): patient with HIMC and a high rise in eosinophil count with GGO and reticular lung abnormalities (Not-Rec); panel (B): patient with HIMC and a low rise in eosinophil count without residual lung abnormalities (Rec).
See this image and copyright information in PMC

References

    1. Cocconcelli E., Biondini D., Giraudo C., Lococo S., Bernardinello N., Fichera G., Barbiero G., Castelli G., Cavinato S., Ferrari A., et al. Clinical Features and Chest Imaging as Predictors of Intensity of Care in Patients with COVID-19. J. Clin. Med. 2020;9:2990. doi: 10.3390/jcm9092990. - DOI - PMC - PubMed
    1. Huang C., Wang Y., Li X., Ren L., Zhao J., Hu Y., Zhang L., Fan G., Xu J., Gu X., et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497–506. doi: 10.1016/S0140-6736(20)30183-5. - DOI - PMC - PubMed
    1. Zhang X.-B., Hu L., Ming Q., Wei X.-J., Zhang Z.-Y., Chen L.-D., Wang M.-H., Yao W.-Z., Huang Q.-F., Ye Z.-Q., et al. Risk factors for mortality of coronavirus disease-2019 (COVID-19) patients in two centers of Hubei province, China: A retrospective analysis. PLoS ONE. 2021;16:e0246030. doi: 10.1371/journal.pone.0246030. - DOI - PMC - PubMed
    1. Jimeno S., Ventura P.S., Castellano J.M., García-Adasme S.I., Miranda M., Touza P., Lllana I., López-Escobar A. Prognostic implications of neutrophil-lymphocyte ratio in COVID-19. Eur. J. Clin. Investig. 2021;51:e13404. doi: 10.1111/eci.13404. - DOI - PubMed
    1. Chen R., Sang L., Jiang M., Yang Z., Jia N., Fu W., Xie J., Guan W., Liang W., Ni Z., et al. Longitudinal hematologic and immunologic variations associated with the progression of COVID-19 patients in China. J. Allergy Clin. Immunol. 2020;146:89–100. doi: 10.1016/j.jaci.2020.05.003. - DOI - PMC - PubMed

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