key: cord-0876575-xrwsv0r8
authors: Hengeveld, Paul J.; Khader, Aaram O.; de Bruin, Linda H. A.; Geelen, Inge G. P.; van Baalen, Eske A.; Jansen, Eva; Bouwer, Nathalie I.; Balak, Ömer; Riedl, Jurgen A.; Langerak, Anton W.; Westerweel, Peter E.; Levin, Mark‐David
title: Blood cell counts and lymphocyte subsets of patients admitted during the COVID‐19 pandemic: a prospective cohort study
date: 2020-07-28
journal: Br J Haematol
DOI: 10.1111/bjh.16983
sha: 50cfbac4978fcf3b22f8696cbca2ea87ae704a44
doc_id: 876575
cord_uid: xrwsv0r8

Aberrant blood cell counts, most prominently lymphopenia, have been identified as markers of the degree of severity of coronavirus disease 2019 (COVID-19) (Terpos et al, 2020; Yang et al, 2020; Wan et al, 2020; Wang et al, 2020; Zhao et al, 2020). However, most of these studies lack comparison to a COVID-19 negative, contemporary control group. Additionally, the longitudinal composition and dynamics of lymphocyte subsets in COVID-19 patients are insufficiently characterized.

From 1 March until 1 May 2020, all adult patients who were admitted to our specialised COVID-19 ward on suspicion of COVID-19 and tested by polymerase chain reaction (PCR) for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) were included. Follow-up lasted until discharge, death or data lock. A total of 551 patients were enrolled. COVID-19 was diagnosed in 197 patients, either by PCR (158/197, 80%) or by high-resolution computed tomography imaging (39/197, 20%) . Based on intensive care unit admission or death during hospital admission, 82/197 (42%) of these patients with COVID-19 were retrospectively labelled as 'critically ill'. COVID-19 was ruled out in the remaining 354 patients (controls). The definitive diagnoses in the control group were heterogeneous, ranging from bacterial infections to congestive heart failure and cancer. Baseline characteristics and outcomes of the included patients are presented in Table S1 .

Complete routine blood analysis was performed on the day of admission for 349/354 controls, 114/115 non-critically and 78/82 critically ill patients with COVID-19 (Table 1,  Table S2 ). Compared to the controls, patients with COVID-19 had a lower prevalence of anaemia and leucocytosis (>11 9 10 9 /l) and a higher prevalence of thrombocytopenia (<150 9 10 9 /l) (Fig 1A-C) . Furthermore, anaemia was significantly more prevalent in critically ill patients with COVID-19, compared to non-critically ill patients with COVID-19. Leucocyte differentiation was performed within the first few days of admission for 152/354 controls, 76/115 non-critically and 46/82 critically ill patients with COVID-19 (Table 1, Table S2 ). The median lymphocyte counts were not significantly different between the controls and the patients with COVID-19, or between non-critically and critically ill patients with COVID-19 ( Fig 1D) . Correspondingly, the prevalence of lymphopenia (<1Á0 9 10 9 /l) was similar between the controls and patients with COVID-19, and between non-critically and critically ill patients with COVID-19. Lymphopenia, defined by a less stringent threshold (<1Á5 9 10 9 /l), was present in most patients, but more prevalent in patients with COVID-19. The controls, compared to the patients with COVID-19, had a higher mean neutrophil count ( Figure S1A ). Additionally, compared to non-critically ill patients with COVID-19, the mean neutrophil count was higher in critically ill patients with COVID-19.

In 25/354 controls, 39/115 non-critically and 40/82 critically ill patients with COVID-19, lymphocyte subsets were quantified by immunophenotyping during admission (Table 1, Table S2 ). A list of diagnoses in the 25 controls from whom immunophenotyping data were obtained is presented in Table S3 . The median CD4 + -and CD8 + -T-lymphocyte counts were similar between the controls, non-critically and critically ill patients with COVID-19 ( Fig 1D,F) . The majority of both controls and patients with COVID-19 had diminished CD8 + -T-cell counts (<200/mm 2 ), but this proportion was larger in the COVID-19 group. Compared to non-critically ill patients with COVID-19, critically ill patients with COVID-19 had a higher mean CD4/CD8 ratio ( Figure S1C ) and a lower median natural killer (NK) cell count ( Figure S1D ).

To assess the impact of blood cell and lymphocyte subset counts on the in-hospital mortality risk in patients with COVID-19, we performed univariable survival analyses (Figure S2 ). Patients with thrombocytopenia or leucocytosis at admission had an increased risk of in-hospital mortality (Figure S2A ,B). Although lymphopenia (stringently or leniently defined) was not predictive of in-hospital mortality for COVID-19 (not shown), the presence of CD4 + -T-lymphopenia (<300/mm 2 ) was associated with an increased risk of inhospital mortality ( Figure S2C ).

Immunophenotyping was not performed at a standardised time point for each patient. Additionally, immunophenotyping correspondence was performed two-or three-times in 29 and four patients with COVID-19 respectively. This allowed us to perform a longitudinal analysis in which we included all patients with repeated measurements and defined the date of first symptom as t 0 . Although patients with COVID-19 generally had lymphopenia at admission (Fig 1D) , the lymphocyte counts gradually increased to reference values around disease day 14 ( Fig 1G) . CD4 + -T lymphocytes experienced a similar rise after 2 weeks (Fig 1H) , but CD8 + -T-lymphocyte reconstitution was much slower, and average CD8 + -T-cell counts did not reach normal limits even after 40 days (Fig 1I) .

The core strength of our present study is the inclusion of a large, contemporary, COVID-19-negative control population, which allowed us to critically reappraise the haematological features of patients with COVID-19. At admission, anaemia, leucocytosis and neutrophilia were more prevalent in the controls than in the patients with COVID-19. In agreement with recent reports, thrombocyte counts were lower in patients with COVID-19, and thrombocytopenia was associated with an increased risk of in-hospital mortality. 6 Lymphopenia, previously presented as a hallmark of COVID-19, 1,8,9 is a common feature of critical illness in general. 10 Indeed, in our present cohort, neither the median lymphocyte counts nor the prevalence of lymphopenia (<1Á0 9 10 9 /l) were different between the patients with COVID-19 and the controls. This suggests that lymphopenia per se, at least stringently defined, is not a discriminatory feature of COVID-19. Unfortunately, we were only able to perform immunophenotyping in a proportion of patients. Furthermore, immunophenotyping could not be performed at a standardised time point, which bears the risk of comparing patients at different stages of their disease. Nevertheless, the range in timing of the immunophenotyping, in combination with repeated sampling in some patients, allowed us to demonstrate that in patients with COVID-19, reconstitution of CD4 + -T lymphocytes starts around disease day 14, whereas CD8 + -T-lymphocyte reconstitution was much slower. This possibly reflects the functional exhaustion reported in these cells in the context of COVID-19. 8 In conclusion, we demonstrate that red cell, white cell, and platelet counts are significantly different between COVID-19-positive and -negative patients, whereas lymphopenia is not a distinguishing feature of COVID-19. Our present data help to identify patients at higher risk of a critical disease course, who could potentially most benefit from pre-emptive interventions.

For the methods section, please see the supporting material. 

Additional supporting information may be found online in the Supporting Information section at the end of the article. Table S1 . Baseline clinical characteristics and outcomes. Table S2 . Blood cell-and lymphocyte subset counts of non-critically and critically ill patients with COVID-19. Table S3 . Definitive diagnoses in controls who underwent immunophenotyping.

Data S1. Supplementary methods.

David Levin were involved in patient inclusion and data acquisition. Linda H. A. de Bruin and Jurgen A. Riedl performed the flow cytometry

Levin advised and performed the data analysis. Paul J. Hengeveld wrote the manuscript. All authors critically reviewed and approved the final manuscript

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