Discussion
Our study shows that although a statistically significant correlation existed between eosinophil counts measured at subsequent severe AECOPDs, this correlation was very poor. The eosinophil counts were rather variable, and depending on the used cut-off and expression of the eosinophil, the overall stability in eosinophil categorisation varied between 70% and 85%. This means that 15%–30% of the patients changed from category. Furthermore, systemic steroid use immediately prior to AECOPD lowered the eosinophil numbers, but did not normalise them and numerically had no relevant influence on the stability of the eosinophil categorisation.
Our results suggest that independent of which cut-off is used, when making a choice regarding systemic steroid treatment dependent on eosinophil numbers during a severe AECOPD, one cannot rely on the eosinophil count measured during an earlier severe AECOPD. The eosinophil count has to be determined at every new severe AECOPD.
An important explanation for the variation in eosinophil count during subsequent severe AECOPDs leading to changes in eosinophil categorisation could lie in the variability in causes of AECOPD, which need not be the same at each exacerbation. Bafadhel et al described different biological and clinical COPD phenotypes during outpatient treated AECOPDs.17 Furthermore, Kolsum et al showed that patients with a bacterial infection during an AECOPD had a significant decrease in blood eosinophil count compared with stable state, while no changes were observed in patients without bacterial infection.8 In most cases, the exact pathobiology of eosinophils in blood is unclear. Analyses of RNA expression levels from sputum or, for instance, nasal epithelium and perhaps leucocyte activation markers in blood and/or sputum in relation to bacterial and viral load may help elucidate the origins of the eosinophilia.18 19
Although this study focuses on severe (hospitalised) AECOPD, we expect the same lack of stability in eosinophil categorisation in subsequent less severe AECOPDs, that is, without hospitalisation. Recently, among others, Lenferink et al reported the beneficial effects of self-management interventions in COPD, including action plans for exacerbations, and they suggested to include this in COPD management.20 Eosinophil guidance in the treatment of AECOPD to become common practice would have major implications for COPD self-management interventions as this should then lead to measuring eosinophils at the moment of AECOPD. As a consequence, healthcare providers of patients with COPD and patients with self-management action plans should have easy access to a (point of care) tool also in the outpatient clinic to determine their eosinophil count at AECOPD onset that should not delay treatment. In this study, patients with steroid use before both AECOPDs (group 2) had a worse lung function, more previous AECOPD and a shorter time between the two subsequent AECOPDs, possibly suggesting a more serious COPD. Maybe as a consequence, these patients possibly have COPD self-management action plans, which could explain why they were already on OCS on the day of laboratory testing for both of their AECOPDs.
The use of relative eosinophil percentages and the use of higher cut-off levels were both associated with higher overall stability in eosinophil categorisation. However, fewer AECOPDs will then be defined as eosinophilic. This will result in more patients who may be incorrectly withheld from steroids for their AECOPD when an eosinophil-guided steroid strategy is used. The higher cut-off level used in the CORTICO-COP 3Study may therefore have influenced the observed, be it non-significant, higher 30-day readmission and death rates in the eosinophil-guided arm. On the other hand, more patients had the advantage of not being exposed to the potential detrimental effects of steroids. Thus, the chosen cut-off level and the way of classifying eosinophils, relative versus absolute, are important factors to be considered when using eosinophil-guided strategies.
Another finding of this study is that also in COPD (recent) steroid use leads to significantly lower eosinophil counts measured at admission for their AECOPD, as expected. It is known, primarily from analyses in patients with asthma, that oral steroid use can lower blood eosinophil count significantly, even after one single dose, and that this suppression can last for more than 24 hours.21 22 Despite this lowering effect, significant eosinophilia persisted in many patients; steroid use did not have major influence on the eosinophil categorisation stability during subsequent AECOPD in our study; and still, about 10%–22% of the patients were categorised as eosinophilic when admitted to the hospital for AECOPD. This may contain important information. When patients need to be hospitalised for AECOPD, even though they had prior systemic steroid use, routine care often leads to higher and/or longer steroids. Where that may be justified in patients with high eosinophil counts, it might be less useful or even detrimental in patients without eosinophilia.3 In this latter CORTICO-COP Study, a strategy quite similar to this suggestion was used, resulting in a reduced duration of systemic corticosteroid exposure without significant difference in number of days alive and out of hospital.
In a study by Schumann et al, blood eosinophil counts were longitudinal collected in patients with COPD in stable state and in AECOPD.12 During severe exacerbations, up to one-half of the patients had discordant or variable blood eosinophil levels, dependent on which cut-off was used, which is even worse than our results. These analyses were however in a small subset of patients (n=67), and no information about previous steroid use was available. This is contrary to our study in which being able to study the influence of (recent) steroid use in a large group of patients with COPD is the major strength of our analysis.
A limitation of our study is however that although (recent) steroid use was defined by the dispensing of the medication at the pharmacy, we cannot determine with certainty that the patient actually used the medication or if perhaps a patient used steroids that were dispensed longer (>14 days) before the severe AECOPD.
Since differences in steroid use prior to the two included severe AECOPDs could have influenced the stability of eosinophil categorisation, we also performed sensitivity analyses in three subgroups of the cohort (based on prior steroid use). These sensitivity analyses showed that (recent) steroid use (within 2 weeks before the AECOPD) or not in fact has no relevant influence on this stability of eosinophil categorisation. Additionally, we studied recent steroid use defined as the start of OCS within one week before the AECOPD (see online supplemental index figure 1) indicating definite OCS use during laboratory testing. Numerically, this had no effect on stability of eosinophil categorisation, although groups 2 and 3 became much smaller now.
So far, there is no consensus on an acceptable degree of stability of eosinophil categorisation, so the results of our study are open for debate. We strongly believe, as our results show, that if ≥55% of the patients categorised as eosinophilic were not categorised as eosinophilic at the subsequent AECOPD, an eosinophil-guided strategy for steroid use for AECOPD can only be incorporated if the eosinophil count will be determined at every new AECOPD. As with any binary categorisation, small changes around the threshold have major impact on the category. Maybe, just as in stable state, one should not use just one cut-off but see the eosinophil count more as a continuous variable and use, for instance, two cut-off levels. This results in three categories in which the high (eosinophilic group) level should receive steroids and the low (non-eosinophilic group) level should not receive steroids, and for the intermediate group, steroid use should be individualised using other (clinical or historical) parameters. Of course, this strategy should be prospectively studied as well.
Finally, the eosinophil count was established with increments of 0.1×10⁹ cells/L. Therefore, another frequently used cut-off, that is, 0.15×10⁹ cells/L, could not be used in our analyses. However, this cut-off has mainly been used in stable state and was not one of the cut-offs used for steroid use in AECOPD. We have performed additional analyses for the ≥0.10×10⁹ cells/L cut-off (see online supplemental index figure 2), which is used in the GOLD guideline for assessing ICS use in stable state. This resulted in lower eosinophil categorisation stability, which is in line with our findings that lower cut-offs are associated with lower overall eosinophil categorisation stability.
Time between the two AECOPDs (using the median) was not associated with the categorisation stability in the overall cohort tested for all the cut-offs (data not shown). It would be interesting for further research to study factors that could predict this eosinophil categorisation stability. Perhaps in subgroups of patients (ie, persistent smokers and elderly patients), this stability may be better or worse. A relevant factor should then also be the aetiology of the AECOPD.
In summary, eosinophil categorisation varies in subsequent severe AECOPDs. This variability leads to category changes in subsequent AECOPDs, which limits the eosinophil categorisation stability. Although (recent) steroid use was associated with lower baseline eosinophil count, numerically, it has no relevant influence on the categorisation stability. Until we understand more about the causes of eosinophilia, quick-access, point-of-care measurements at each new exacerbation seem warranted.