Triage of Patients Suspected of COVID-19 in Chronic Hemodialysis: Eosinophil Count Differentiates Low and High Suspicion of COVID-19

• Published in: Journal of clinical medicine Vol. 10; no. 1; p. 4
• Main Authors: Vial, Romain, Gully, Marion, Bobot, Mickael, Scarfoglière, Violaine, Brunet, Philippe, Bouchouareb, Dammar, Duval, Ariane, Zino, He-Oh, Faraut, Julien, Jehel, Océane, Berdad-Hadad, Yaël, Burtey, Stéphane, Jarrot, Pierre-André, Lano, Guillaume, Robert, Thomas
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01-01-2021; MDPI
• Subjects: Accuracy; Blood tests; Body mass index; Clinical medicine; Comorbidity; Coronaviruses; COVID-19; Diabetes; Disease transmission; Electrolytes; Electronic health records; Hemodialysis; Human health and pathology; Hypertension; Infections; Laboratories; Life Sciences; Medical records; Neutrophils; Pandemics; Patients; Regression analysis; Respiratory diseases; Severe acute respiratory syndrome coronavirus 2; Variables; Viral infections; COVID-19; hemodialysis; eosinophil
• ISSN: 2077-0383; 2077-0383
• DOI: 10.3390/jcm10010004

Daily management to shield chronic dialysis patients from SARS-CoV-2 contamination makes patient care cumbersome. There are no screening methods to date and a molecular biology platform is essential to perform RT-PCR for SARS-CoV-2; however, accessibility remains poor. Our goal was to assess whether the tools routinely used to monitor our hemodialysis patients could represent reliable and quickly accessible diagnostic indicators to improve the management of our hemodialysis patients in this pandemic environment.
In this prospective observational diagnostic study, we recruited patients from La Conception hospital. Patients were eligible for inclusion if suspected of SARS-CoV-2 infection when arriving at our center for a dialysis session between March 12th and April 24th 2020. They were included if both RT-PCR result for SARS-CoV-2 and cell blood count on the day that infection was suspected were available. We calculated the area under the curve (AUC) of the receiver operating characteristic curve.
37 patients were included in the final analysis, of which 16 (43.2%) were COVID-19 positive. For the day of suspected COVID-19, total leukocytes were significantly lower in the COVID-19 positive group (4.1 vs. 7.4 G/L,
= 0.0072) and were characterized by lower neutrophils (2.7 vs. 5.1 G/L,
= 0.021) and eosinophils (0.01 vs. 0.15 G/L,
= 0.0003). Eosinophil count below 0.045 G/L identified SARS-CoV-2 infection with AUC of 0.9 [95% CI 0.81-1] (
< 0.0001), sensitivity of 82%, specificity of 86%, a positive predictive value of 82%, a negative predictive value of 86% and a likelihood ratio of 6.04.
Eosinophil count enables rapid routine screening of symptomatic chronic hemodialysis patients suspected of being COVID-19 within a range of low or high probability.