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10.06.2020 | COVID-19 | Research Letter | Ausgabe 1/2020 Open Access

Critical Care 1/2020

Systemic hypoferremia and severity of hypoxemic respiratory failure in COVID-19

Zeitschrift:
Critical Care > Ausgabe 1/2020
Autoren:
Akshay Shah, Joe N. Frost, Louise Aaron, Killian Donovan, Hal Drakesmith, Collaborators
Wichtige Hinweise

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Abbreviations
COVID-19
Coronavirus Disease-2019
FiO2
Fraction of inspired oxygen
ICU
Intensive care unit
IL-6
Interleukin-6
PaO2
Partial pressure of oxygen in arterial blood
SARS-CoV-2
Severe acute respiratory coronavirus 2
Dear Editor,
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory coronavirus 2 (SARS-CoV-2) was declared a pandemic on March 11, 2020 [ 1]. Risk factors associated with respiratory failure in patients with COVID-19 include older age, neutrophilia and elevated inflammatory and coagulation markers [ 1]. Inflammation is often accompanied by systemic hypoferremia and low iron levels may impair hypoxia sensing and immunity [ 2], and increase the risk of thromboembolic complications [ 3]—which are all of significant concern in COVID-19. However, the iron status of COVID-19 patients is unclear. Therefore, we sought to characterise iron parameters, including serum iron, in COVID-19 intensive care unit (ICU) patients and relate these to disease severity.

Methods

We retrospectively evaluated any serum iron profiles that were measured in critically ill patients with COVID-19 within 24 h of admission to the ICU, John Radcliffe Hospital, Oxford, UK, between March 31, 2020, and April 25, 2020. Relevant clinical and laboratory data were extracted from routine datasets. The number of patients who had died, had been discharged, and were still in ICU as of May 12, 2020 was recorded.
We stratified patients according to severity of hypoxemic respiratory failure on admission to ICU—severe (PaO 2/FiO 2 ratio < 100 mmHg) versus non-severe (PaO 2/FiO 2 ratio 100–300 mmHg). All patients with severe hypoxemia required invasive mechanical ventilation and prone positioning. Mann-Whitney rank sum test was used to compare nonparametric continuous variables between these two groups. All statistical tests were 2-tailed, and statistical significance was defined as P < .05. Analyses were performed using PRISM version 8 (GraphPad Software).

Results

A total of 30 patients were included. Table  1 shows the demographic, clinical and laboratory characteristics of the included patients. Overall, 17 (57%) patients were male. The median (interquartile range (IQR)) age was 57 (52–64) years.
Table 1
Clinical, laboratory and iron profile characteristics of study cohort, total and stratified by severity of hypoxemia
Characteristic
All patients ( n = 30)
Severe ( n = 10)
Non-severe ( n = 20)
 
Age, median (IQR), years
57 (52–64)
57 (53–75)
57 (52–64)
0.949
Males, n (%)
17 (57)
5 (50)
12 (60)
 
Females, n (%)
13 (33)
5 (50)
8 (40)
 
APACHE II score, median (IQR)
13.0 (9.8–15)
14.5 (12–20)
13 (12–18)
0.7512
Clinical Frailty Scale, n (%)
 1
23 (77)
9 (90)
14 (70)
 
 2
4 (13)
1 (10)
3 (15)
 
 > 3
3 (10)
0
3 (15)
 
Respiratory support, n (%)
 Non-invasive ventilation
18 (60)
7 (701)
11 (55)
0.509
 Invasive ventilation
26 (87)
10 (100)
16 (80)
0.378
 Prone position
17 (57)
10 (100)
7 (35)
0.004
Advanced cardiovascular support, n (%)
4 (13)
0 (0)
4 (20)
0.379
Advanced renal support, n (%)
10 (33)
5 (50)
5 (25)
0.271
PaO 2/FiO 2 ratio, median (IQR)
127.5 (87–200.6)
82.5 (77–87)
190.8 (127.5–277.5)
< 0.001
Laboratory data (normal range)
 Haemoglobin (g/L) (120–150), mean (SD)
130.4 (20.1)
124.7 (16.7)
133.2 (21.4)
0.280
 White cell count (× 10 9/L) (4.0–11.0), mean (SD)
10.6 (4.8)
11.0 (5)
10.4 (4.7)
0.733
 Lymphocyte count (× 10 9/L) (1.0–4.0), mean (SD)
0.74 (0.4)
0.50 (0.2)
0.87 (0.42)
0.015
 D-dimer (μg/mL) (0–500), median (IQR)
3286 (1302–14,227)
9505.5 (845–5023)
2462 (1453–9850)
0.462
 Fibrinogen (g/L) (1.5–4.0), median (IQR)
6 (5.5–6.3)
6 (5.5–6.3)
6.1 (5.5–6.4)
0.670
 CRP (mg/L) (0–5), mean (SD)
246.2 (100.1)
235.8 (101.8)
251.4 (101.5)
0.69
Iron parameters (normal range)
 Ferritin (mcg/l) (10–200), median (IQR)
1476.1 (656.6–2698)
903.8 (566.9–2789.2)
1566.1 (729–2511.5)
0.569
 Serum iron (μmol/L) (11–30), median (IQR)
3.6 (2.5–5)
2.3 (2.2–2.5)
4.3 (3.3–5.2)
< 0.001
 Transferrin (g/L) (1.8–3.6), median (IQR)
1.5 (1.1–1.8)
1.3 (0.8–1.8)
1.5 (1.1–1.8)
0.784
 Transferrin saturation (%) (16–50), median (IQR)
9 (7–13)
7 (6–12)
12 (8–14)
0.122
Pulmonary embolism, n (%)
16 (53.5)
7 (70)
9 (45)
0.203
Outcome as of 10 May 2020, n (%)
 Died in ICU
6 (20)
5 (50)
1 (5)
 
 Still alive in ICU
16 (53)
3 (30)
13 (65)
 
 Discharged alive from ICU
8 (27)
2 (20)
6 (30)
 
 ICU length of stay, median (IQR), days
8 (4–11)
7 (4–9)
9 (4–12)
 
Abbreviations: APACHEII Acute Physiology and Chronic Health Evaluation II, CRP C-reactive protein, ICU intensive care unit, IQR interquartile range, SD standard deviation
Compared with patients with non-severe hypoxemia, patients with severe hypoxemia had significantly lower levels of serum iron (median 2.3 (IQR, 2.2–2.5) vs 4.3 (IQR, 3.3–5.2) μmol/L, p < 0.001) and lymphocyte counts (mean (SD) 0.50 (0.2) vs. 0.87 (0.4), p = 0.0152). There were no statistically significant differences in transferrin saturation and serum ferritin levels between groups (Fig.  1a). The area under the curve for receiver operating characteristic curves for serum iron to identify severe hypoxemia was 0.95; the optimal Youden Index for distinguishing between severe and non-severe hypoxemia was a serum iron concentration of 2.9 μmol/L (sensitivity 0.9, specificity 1.0) (Fig. 1b). By linear regression, serum iron was associated with lymphocyte count and PaO 2/FiO 2 ratio (Fig. 1c, d). The proportion of patients with pulmonary emboli was numerically higher in patients with severe hypoxemia, but this was not statistically significant.

Discussion

This is the first study describing iron status in COVID-19. Our data suggest that serum iron may be a useful biomarker for identifying disease severity in COVID-19, whilst also being a potential therapeutic target. Serum iron was lower when compared with other cohorts of non-COVID-19 ICU patients reported previously, including those with sepsis [ 4]. The association of serum iron with lymphocyte counts could reflect the requirement of the adaptive immune response for iron [ 5] and may contribute to possible T cell dysfunction reported in COVID-19 [ 6].
Hypoferremia is likely to be due at least in part to inflammation-driven increases in hepcidin concentrations [ 2]. Anti-inflammatory drugs such as tocilizumab will likely suppress hepcidin synthesis through inhibition of interleukin-6 (IL-6) [ 6] and so increase serum iron. Other potential therapeutic strategies include hepcidin antagonists and hypoxia-inducible factor inhibitors. Additionally, unlike hepcidin and IL-6, serum iron is measured widely and so could assist with identification and monitoring of severity of disease. Our results support performing a larger study to better characterise these patterns.

Acknowledgements

Collaborating authors:
Stuart R. McKechnie, PhD 1
Simon J. Stanworth, DPhil 2,3
1. Adult Intensive Care Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
2. Radcliffe Department of Medicine, University of Oxford and John Radcliffe Hospital, Oxford, UK
3. Haematology Theme, NIHR Oxford Biomedical Research Centre, Oxford, UK

Ethics approval and consent to participate

Research ethics committee approval was not required for this study as per the UK Health Research Authority Decision tool ( http://​www.​hra-decisiontools.​org.​uk/​research/​). Due to the retrospective nature of the study, the local institutional board (Oxford University Hospitals NHS Foundation Trust Research and Development) approved ethical oversight and waiver of consent. No direct patient identifiable data were collected.

Consent for publication

Not applicable

Competing interests

None.
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