Skip to main content
Erschienen in: Critical Care 1/2021

Open Access 01.12.2021 | COVID-19 | Research Letter

YKL-40 as a new promising prognostic marker of severity in COVID infection

verfasst von: Lauranne Schoneveld, Aurélie Ladang, Monique Henket, Anne-Noëlle Frix, Etienne Cavalier, Julien Guiot, the COVID-19 clinical investigators of the CHU de Liège

Erschienen in: Critical Care | Ausgabe 1/2021

download
DOWNLOAD
print
DRUCKEN
insite
SUCHEN
Hinweise
Etienne Cavalier and Julien Guiot have contributed equally to this work

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
ICU
Intensive care unit
ILD
Interstitial lung diseases
HS
Healthy subjects
COPD
Chronic obstructive pulmonary disease
MOF
Multiple organ failure
AUC
Area under the ROC curve
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for a disease named COVID-19, which may be associated with common symptoms or lead patients to intensive care unit (ICU) or death. The severity of the disease is mainly driven by diffuse interstitial lung diseases (ILD). YKL-40 has a promitogenic action on pulmonary fibroblasts, increases the activity of macrophages and is associated with inflammatory disorders, arteriosclerosis and endothelial dysfunction. In ILD, YKL-40 has been described to be associated with the severity of lung diseases and with the risk of death [16]. Yet, in COVID-19 infection, YKL-40 serum levels could therefore be of interest for diagnosis and prognosis since it is at the cross-link between vascular and epithelial lung damage, which are typical characteristics of COVID-19 infection. By closing the gap between those two pathological characteristics, we thought that YKL-40 could be of interest a specific biomarker of severe COVID-19 infection.
We thus retrospectively compared serum levels of YKL-40 in a cohort of 103 patients infected by SARS-CoV-2 hospitalized between March 1 and April 29, 2020, with a group of 58 appariated healthy subjects (HS), 26 patients suffering from chronic obstructive pulmonary disease (COPD) and 53 from non-COVID ILD. Measurement of YKL-40 was taken with the MicroVue™ YKL-40 enzyme immunoassay kit during the 3 first days of admission and retrospectively analyzed and correlated the results with clinical data [ICU admission, acute renal failure (ARF) or multiple organ failure (MOF)].
Median age of COVID-19 positive patients was 69 yo with a male predominancy (67%). A significant proportion of the cohort (n = 103) experienced ICU admission (30%), ARF (32%) and MOF (28%).
COVID-19 patients who were admitted in ICU had statistically higher CRP, creatinine, LDH and YKL-40 (p < 0.05) (Table 1). The lymphocyte count was not statistically lower (p = 0.059) and D-dimers were not higher (p = 0.1297) compared to the other group.
Table 1
Comparison between COVID-19 patients admitted to intensive care or not
Variables
ICU, No (n = 72)
ICU, Yes (n = 31)
p value
Age (year)
71 (58–82)
65 (59–69)
< 0.05
Gender M/F
44/28
22/9
NS
Height (cm)
169 (162–176)
175 (169–180)
< 0.05
Weight (kg)
71 (63–84)
96 (80–105)
< 0.0001
BMI (kg/m2)
25 (22–29)
31 (27–34)
< 0.0001
Abnormal lung lesions (%)
20 (10–35)
40 (30–50)
< 0.001
SpO2 (%)
93 (89–96)
88 (75–90)
< 0.0001
Death, No/Yes (%)
92.8/7.2
89.3/10.7
NS
Shock or organ failure, No/Yes (%)
91.3/8.7
26.7/73.3
< 0.0001
Cardiopathy, No/Yes (%)
85.5/14.5
75/25
NS
ARF, No/Yes (%)
79.7/20.3
40/60
< 0.001
CRF, No/Yes (%)
85.5/14.5
96.7/3.3
NS
Diabetes, No/Yes (%)
85.5/14.5
62.1/37.9
< 0.05
Red blood cells (× 10e6/µl)
4.29 ± 0.79
4.48 ± 0.85
NS
Hematocrit (%)
38 ± 7
39 ± 7
NS
Hemoglobin (g/dl)
13 ± 2
14 ± 2
NS
Globular volume (fl)
89 ± 8
89 ± 7
NS
Reticulocytes (%)
0.97 (0.72–1.15)
1 (0.57–1.04)
NS
Reticulocytes (× 103/µl)
39 (29–50)
39 (24–51)
NS
Leucocytes (× 10e3/µl)
6.15 (4.63–8.03)
7.87 (4.91–13.54)
< 0.05
Blood neutrophils (%)
73 ± 12
78 ± 17
< 0.05
Blood lymphocytes (%)
15 (10–24)
10 (5–20)
< 0.05
Blood monocytes (%)
0.2 (0–0.9)
0 (0–0.1)
< 0.01
Blood eosinophils (%)
7.73 ± 4.36
5.63 ± 3.32
NS
Blood basophils (%)
0.2 (0.2–0.4)
0.2 (0.1–0.3)
NS
Blood neutrophils (103/µl)
4.54 (3.07–6.4)
6.96 (3.5–11.73)
< 0.05
Blood lymphocytes (103/µl)
0.96 (0.69–1.27)
0.73 (0.59–1.12)
NS
Blood monocytes (103/µl)
0.42 (0.25–0.6)
0.37 (0.27–0.6)
NS
Blood eosinophils (103/µl)
0.01 (0–0.05)
0 (0–0.01)
< 0.05
Blood basophils (103/µl)
0.01 (0.01–0.02)
0.02 (0.01–0.03)
NS
Platelets (103/µl)
195 (157–266)
189 (155–252)
NS
Quick time (%)
83 ± 22
83 ± 13
NS
Quick time (s)
13 (12–13)
13 (12–13)
NS
Fibrinogen (g/l)
5.24 ± 1.61
6.06 ± 2.01
NS
D-dimers (µg/L)
876 (517–1787)
1483 (586–2422)
NS
Erythrocytes sedimentation rate (mm/h)
123 (123–123)
48 (48–48)
NS
Iron (µmol/l)
4.27 (2.95–7.36)
4.61 (3.35–7.06)
NS
Ferritin (µg/l)
827 (499–1677)
1861 (889–4117)
< 0.05
Osmolality (mosm/kg)
290 ± 15
286 ± 11
NS
Sodium (mmol/l)
139 ± 5
136 ± 4
< 0.05
Chlorides (mmol/l)
102 ± 6
100 ± 5
NS
Potassium (mmol/L)
4.04 ± 0.44
4.16 ± 0.62
NS
Calcium (mmol/l)
2.23 ± 0.18
2.14 ± 0.21
NS
Phosphates (mg/l)
0.99 ± 0.2
1.15 ± 0.34
NS
Bicarbonates (mmol/l)
24 (21–26)
23 (19–26)
NS
Creatinine (mg/dl)
0.93 (0.8–1.31)
1.25 (0.88–1.6)
0.05
Urea (mg/dL)
41 (31–68)
53 (40–84)
< 0.05
GFR (MDRD) (ml/min/1.73m2)
71 ± 33
60 ± 30
NS
Total protein (g/l)
66 ± 8
66 ± 11
NS
Albumin (g/l)
37 ± 5
36 ± 4
NS
Uric acid (mg/dl)
61 ± 25
63 ± 25
NS
CRP (mg/l)
58 (26–144)
166 (105–265)
< 0.0001
Total bilirubin (mg/dl)
0.62 (0.44–0.82)
0.79 (0.53–1.02)
< 0.05
Conjugated bilirubin (mg/dl)
0.25 (0.18–0.34)
0.33 (0.25–0.5)
< 0.05
Alkaline phosphatase (U/l)
75 (59–90)
70 (57–95)
NS
GGT (U/l)
52 (30–111)
64 (29–133)
NS
ASAT (U/L)
35 (24–53)
60 (35–80)
< 0.001
ALAT (U/L)
27 (17–46)
36 (26–56)
< 0.05
LDH (U/l)
310 (244–441)
503 (411–703)
< 0.00001
Lipase (U/l)
32 (19–50)
38 (25–53)
NS
Creatine kinase (U/l)
136 (59–266)
229 (101–426)
0.07
YKL-40 (ng/ml)
186 (84–384)
241 (172–827)
< 0.05
When the data follow a normal distribution, the results are expressed as mean ± standard deviation, and otherwise, they are expressed as the median (IQR)
M, male; F, female; NS, nonsignificant
COVID-19 patients exhibited higher serum levels of YKL-40 than HS, COPD and ILD (p < 0.0001 for all groups) (Fig. 1). Median serum level of YKL-40 was 206 ng/ml (95–431) in the COVID-19 group, 46 ng/ml (34–67) in the HS subgroup, whereas they were of 60 ng/ml (41–73) in the COPD and 73 ng/ml (42–91) in the ILD groups, respectively.
Patients suffering from more severe diseases had significantly higher YKL-40 values than those who did not experience ICU admission, MOF or ARF (p < 0.05, p < 0.05, p < 0.001, respectively). Patients infected by COVID-19 suffering from prior chronic renal failure and chronic cardiopathy were exhibiting an increased serum level of YKL-40 (p < 0.0001 and p < 0.001, respectively). Death was not statistically correlated to levels of YKL-40 within the COVID-19 patient group (p = 0.12).
The area under the ROC curve (AUC) for the discrimination of patients admitted or not to the ICU in association with the levels of YKL-40, the age and the percentage of lesions visible on the thoracic scanner reached 0.78 (p < 0.0001). The positive predictive value was 70%, and the negative predictive value was 83%.
In conclusion, this study showed that firstly the COVID-19 patients had higher levels of YKL-40 compared to a control population (HS, COPD and ILD) and secondly that within the COVID-19 population YKL-40 was an indicator of the seriousness of infection since it is linked to complications such as admission to ICU, ARF or MOF. This marker could also be a predictive marker to anticipate management at the ICU and is useful for the prognosis of the onset of an ILD later. Future studies are also needed to assess the correlation between the levels of YKL-40 and pulmonary sequelae that patients with COVID-19 would develop.

Acknowledgements

The authors would like to thank the COVID-19 clinical investigators of the CHU de Liège: Ancion, A., Berg, J., Bonhomme, O., Bouquegneau, A., Bovy, C., Bruls, S., Darcis, G., Defraigne, J.O., Ghuysen, A., Gilbert, A., Heinen, V., Lambermont, B., Louis, R., Malaise, O., Martin, M., Misset, B., Moutschen, M., Nguyen Dang, D., Piazza, J., Szecel, D., Szecel, J., Van Cauwenberge, H., Von Frenckell, C., Vroonen, L.
No specific approval was requested to the ethic committee as a leaflet including the following statement is given to all admitted patients: According to the law of the 19th December 2008, any left-over of biological material collected from patients for their standard medical management and normally destroyed when all diagnostic analyses have been performed, can be used for validation of methods. The law authorizes such use except if the patient expressed an opposition when still alive (presume consent). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements. However, for HS, COPD and ILD patients, the protocol was approved by the ethics committee of CHU of Liège, and all subjects gave written consent before their enrollment (Belgian Number: B707201422832; ref: 2014/302).
Not applicable.

Competing interests

All authors declare to have no specific competing interests for this specific publication.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Korthagen NM, van Moorsel CHM, Barlo NP, Ruven HJT, Kruit A, Heron M, et al. Serum and BALF YKL-40 levels are predictors of survival in idiopathic pulmonary fibrosis. Respir Med. 2011;105:106–13.CrossRef Korthagen NM, van Moorsel CHM, Barlo NP, Ruven HJT, Kruit A, Heron M, et al. Serum and BALF YKL-40 levels are predictors of survival in idiopathic pulmonary fibrosis. Respir Med. 2011;105:106–13.CrossRef
2.
Zurück zum Zitat Létuvé S, Kozhich A, Arouche N, Grandsaigne M, Reed J, Dombret M-C, et al. YKL-40 is elevated in patients with chronic obstructive pulmonary disease and activates alveolar macrophages. J Immunol. 2008;181:5167–73.CrossRef Létuvé S, Kozhich A, Arouche N, Grandsaigne M, Reed J, Dombret M-C, et al. YKL-40 is elevated in patients with chronic obstructive pulmonary disease and activates alveolar macrophages. J Immunol. 2008;181:5167–73.CrossRef
3.
Zurück zum Zitat Nordenbæk C, Johansen JS, Halberg P, Wiik A, Garbarsch C, Ullman S, et al. High serum levels of YKL-40 in patients with systemic sclerosis are associated with pulmonary involvement. Scand J Rheumatol. 2005;34:293–7.CrossRef Nordenbæk C, Johansen JS, Halberg P, Wiik A, Garbarsch C, Ullman S, et al. High serum levels of YKL-40 in patients with systemic sclerosis are associated with pulmonary involvement. Scand J Rheumatol. 2005;34:293–7.CrossRef
4.
Zurück zum Zitat Inoue Y, Kaner RJ, Guiot J, Maher TM, Tomassetti S, Moiseev S, et al. Diagnostic and prognostic biomarkers for chronic fibrosing interstitial lung diseases with a progressive phenotype. Chest. 2020;158:646–59.CrossRef Inoue Y, Kaner RJ, Guiot J, Maher TM, Tomassetti S, Moiseev S, et al. Diagnostic and prognostic biomarkers for chronic fibrosing interstitial lung diseases with a progressive phenotype. Chest. 2020;158:646–59.CrossRef
5.
Zurück zum Zitat Guiot J, Moermans C, Henket M, Corhay JL, Louis R. Blood biomarkers in idiopathic pulmonary fibrosis. Lung. 2017;195:273–80.CrossRef Guiot J, Moermans C, Henket M, Corhay JL, Louis R. Blood biomarkers in idiopathic pulmonary fibrosis. Lung. 2017;195:273–80.CrossRef
6.
Zurück zum Zitat Bonhomme O, André B, Gester F, De Seny D, Moermans C, Struman I, et al. Biomarkers in systemic sclerosis-associated interstitial lung disease: review of the literature. Rheumatol (United Kingdom). 2019;58:1534–46. Bonhomme O, André B, Gester F, De Seny D, Moermans C, Struman I, et al. Biomarkers in systemic sclerosis-associated interstitial lung disease: review of the literature. Rheumatol (United Kingdom). 2019;58:1534–46.
Metadaten
Titel
YKL-40 as a new promising prognostic marker of severity in COVID infection
verfasst von
Lauranne Schoneveld
Aurélie Ladang
Monique Henket
Anne-Noëlle Frix
Etienne Cavalier
Julien Guiot
the COVID-19 clinical investigators of the CHU de Liège
Publikationsdatum
01.12.2021
Verlag
BioMed Central
Schlagwort
COVID-19
Erschienen in
Critical Care / Ausgabe 1/2021
Elektronische ISSN: 1364-8535
DOI
https://doi.org/10.1186/s13054-020-03383-7

Weitere Artikel der Ausgabe 1/2021

Critical Care 1/2021 Zur Ausgabe

Update AINS

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.