Literature DB >> 30319247

Longitudinal stability of blood eosinophil count strata in the COPD COSYCONET cohort.

Timm Greulich1, Sina Mager1, Tanja Lucke2, Andreas Rembert Koczulla1, Robert Bals3, Sebastian Fähndrich3, Rudolf A Jörres2, Peter Alter1, Anne Kirsten4, Claus Franz Vogelmeier1, Henrik Watz4.   

Abstract

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Year:  2018        PMID: 30319247      PMCID: PMC6168004          DOI: 10.2147/COPD.S165909

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


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Introduction

It has been increasingly recognized that the numbers of blood eosinophils (eos) might be an important biomarker in patients with COPD to identify patients at risk for exacerbations and for treatment to inhaled corticosteroid (ICS) treatment or anti-interleukin-5 therapy.1–3 However, data about the stability of blood eos counts over time are rare. We used data from the multicenter COSYCONET study to analyze the variability of eos by strata over a period of 18 months.4

Methods

The German COPD and Systemic Consequences-Comorbidities Network (COSYCO-NET) cohort study is a multicenter, longitudinal, prospective, observational study, into which 2,741 patients with the diagnosis of COPD were recruited between 2010 and 2013 in 31 study centers throughout Germany.4 Eos were collected in a number of centers as part of routine clinical assessments. To determine the longitudinal stability of their counts, we included all patients in whom a differential blood cell count was available at the study visits V1–V3 (baseline, 6 months, 18 months). These 334 patients were more prone to exacerbations and were more likely to have an ICS-containing treatment regimen than the remaining part of the COSYCONET population (Table 1).
Table 1

Baseline data from 334 patients in whom a differential blood cell blood count was available at visits V1–V3 as compared to 2,407 patients without differential blood cell count available at all time points V1–V3

Current study populationResidual COSYCONET populationP-valuea
n3342,407NA
Age, years64.37±8.3365.15±8.660.12
Male, %63.258.50.1
BMI, kg/m227.49±5.4126.97±5.380.1
FEV1, % predicted55.5±17.9757.11±21.630.2
FEV1, l1.66±0.641.67±0.730.77
No of exacerbations previous year1.85±4.571.21±2.24<0.001
6-MWD, min429±98.42418.95±109.830.09
BODE2.1±1.882.27±2.010.16
SGRQ43.09±19.6942.63±20.030.69
ICS-containing treatment, %57.863.90.03
History of asthma, %20.118.40.45

Notes: Data are displayed as mean ± SD.

t-test was calculated for continuous variables, Fisher’s exact test was calculated for dichotomous variables.

Abbreviations: NA, not applicable; BMI, body mass index; FEV1, forced expiratory volume in 1 second; 6-MWD, 6-minute walking distance; BODE, score based on body mass index, obstruction, dyspnea, Exercise capacity; SGRQ, St George’s Respiratory Questionnaire; ICS, inhaled corticosteroid.

First, we determined the absolute number and proportion of patients, who exhibited eos of <150 cells/µL (rated as non-eosinophilic), 150–299 cells/µL (intermediate), and ≥300 cells/µL (eosinophilic) at visit 1. Next, we analyzed the longitudinal stability of the three strata from visit 1 to visit 2, and from visit 2 to visit 3. Finally, we displayed the results in analogy to the stability analysis performed by Hurst for the susceptibility to exacerbations.5

Results

At visit 1, 165 patients (50%) were non-eosinophilic, 121 (36%) intermediate, and 48 (14%) eosinophilic. The overall distribution remained fairly stable over time (visit 2: 43%, 40%, 18%, respectively; visit 3: 46%, 40%, 14%, respectively). The changes between strata over consecutive visits and the resulting distributions are shown in Figure 1. Putting the data from the three visits together, 26% of patients were persistently non-eosinophilic (<150 eos/µL), which implies that 74% exhibited ≥150 eos/µL at least at one occasion. Conversely, 28% exhibited ≥300 eos/µL at least once within 18 months, but only 5% of patients were persistently eosinophilic (≥300 eos/µL) at all three study visits. Excluding patients whose status regarding corticosteroid treatment (on/off) changed from one visit to another (n=63) did not change the results significantly (data not shown).
Figure 1

Absolute number and proportion of patients according to blood eos count at visits 1, 2, and 3.

Note: The proportions of participants at visit one are sequentially subdivided according to their eos blood count at visit 2, and the proportions of patients at visit 2 are sequentially subdivided according to their eos blood count at visit 3.

Abbreviation: eos, eosinophil.

Discussion

The main findings of this analysis are (1) that 26% of COPD patients in the study cohort were persistently non- eosinophilic, (2) 5% were persistently eosinophilic, and (3) 28% exhibited ≥300 eos/µL at least once in three observations over a period of 18 months. Few longitudinal studies evaluated the robustness of eos strata in COPD before.6,7 Oshagbemi et al found the stability of counts higher in patients showing <340 eos/ µL compared to patients showing ≥340 eos/µL.6 Using a lower cut-off level of 2%, Singh et al observed that the majority of patients showed variations around a value of 2%.7 When defining three different strata in absolute eos numbers, we observed that among those that were robust over time the non-eosinophilic stratum (<150 eos/ µL) was the most frequent one. Still it comprised only about one quarter of the population, while the majority of patients were in the intermediate or high eosinophilic group at least at one occasion. More than one quarter of the population exhibited ≥300 eos/µL at least once in three visits. Even though our data may not be fully representative for the entire COSYCONET cohort (eg, higher exacerbation rate, higher percentage of patients on any ICS-containing regimen) and some groups at visit 3 included a small number of patients (making the results somewhat preliminary), they help to assess the stability of the eos signal, which will potentially be used in the future to come to treatment decisions.

Conclusion

Our analysis demonstrates that in COPD non-eosinophilia in blood is more robust over time than eosinophilia defined as count ≥300 eos/µL. These observations might be helpful for the design of studies that address the question, whether rational and effective treatment decisions should better refer to persistent or to occasional eosinophilia.
  7 in total

1.  Stability of Blood Eosinophils in Patients with Chronic Obstructive Pulmonary Disease and in Control Subjects, and the Impact of Sex, Age, Smoking, and Baseline Counts.

Authors:  Olorunfemi A Oshagbemi; Andrea M Burden; Dionne C W Braeken; Yvonne Henskens; Emiel F M Wouters; Johanna H M Driessen; Anke H Maitland-van der Zee; Frank de Vries; Frits M E Franssen
Journal:  Am J Respir Crit Care Med       Date:  2017-05-15       Impact factor: 21.405

2.  The German COPD cohort COSYCONET: Aims, methods and descriptive analysis of the study population at baseline.

Authors:  Annika Karch; Claus Vogelmeier; Tobias Welte; Robert Bals; Hans-Ulrich Kauczor; Jürgen Biederer; Joachim Heinrich; Holger Schulz; Sven Gläser; Rolf Holle; Henrik Watz; Stephanie Korn; Nina Adaskina; Frank Biertz; Charlotte Vogel; Jørgen Vestbo; Emiel F M Wouters; Klaus Friedrich Rabe; Sandra Söhler; Armin Koch; Rudolf A Jörres
Journal:  Respir Med       Date:  2016-03-11       Impact factor: 3.415

3.  Susceptibility to exacerbation in chronic obstructive pulmonary disease.

Authors:  John R Hurst; Jørgen Vestbo; Antonio Anzueto; Nicholas Locantore; Hana Müllerova; Ruth Tal-Singer; Bruce Miller; David A Lomas; Alvar Agusti; William Macnee; Peter Calverley; Stephen Rennard; Emiel F M Wouters; Jadwiga A Wedzicha
Journal:  N Engl J Med       Date:  2010-09-16       Impact factor: 91.245

4.  Blood eosinophil count and exacerbations in severe chronic obstructive pulmonary disease after withdrawal of inhaled corticosteroids: a post-hoc analysis of the WISDOM trial.

Authors:  Henrik Watz; Kay Tetzlaff; Emiel F M Wouters; Anne Kirsten; Helgo Magnussen; Roberto Rodriguez-Roisin; Claus Vogelmeier; Leonardo M Fabbri; Pascal Chanez; Ronald Dahl; Bernd Disse; Helen Finnigan; Peter M A Calverley
Journal:  Lancet Respir Med       Date:  2016-04-07       Impact factor: 30.700

5.  Mepolizumab for Eosinophilic Chronic Obstructive Pulmonary Disease.

Authors:  Ian D Pavord; Pascal Chanez; Gerard J Criner; Huib A M Kerstjens; Stephanie Korn; Njira Lugogo; Jean-Benoit Martinot; Hironori Sagara; Frank C Albers; Eric S Bradford; Stephanie S Harris; Bhabita Mayer; David B Rubin; Steven W Yancey; Frank C Sciurba
Journal:  N Engl J Med       Date:  2017-09-11       Impact factor: 91.245

Review 6.  Eosinophils in COPD: just another biomarker?

Authors:  Mona Bafadhel; Ian D Pavord; Richard E K Russell
Journal:  Lancet Respir Med       Date:  2017-06-07       Impact factor: 30.700

7.  Eosinophilic inflammation in COPD: prevalence and clinical characteristics.

Authors:  Dave Singh; Umme Kolsum; Chris E Brightling; Nicholas Locantore; Alvar Agusti; Ruth Tal-Singer
Journal:  Eur Respir J       Date:  2014-10-16       Impact factor: 16.671

  7 in total
  12 in total

Review 1.  Diagnosis and management of chronic obstructive pulmonary disease in Serbia: an expert group position statement.

Authors:  Marija Vukoja; Ivan Kopitovic; Zorica Lazic; Branislava Milenkovic; Ivana Stankovic; Biljana Zvezdin; Aleksandra Dudvarski Ilic; Ivan Cekerevac; Miodrag Vukcevic; Vladimir Zugic; Sanja Hromis
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2019-09-02

Review 2.  COPD treatment choices based on blood eosinophils: are we there yet?

Authors:  Brian Oliver; Katrina Tonga; David Darley; Sandra Rutting; Xin Zhang; Hui Chen; Gang Wang
Journal:  Breathe (Sheff)       Date:  2019-12

3.  The stability of blood Eosinophils in chronic obstructive pulmonary disease.

Authors:  Gabriella H Long; Thomas Southworth; Umme Kolsum; Gavin C Donaldson; Jadwiga A Wedzicha; Christopher E Brightling; Dave Singh
Journal:  Respir Res       Date:  2020-01-10

4.  Is Blood Eosinophil Count a Biomarker for Chronic Obstructive Pulmonary Disease in a Real-World Clinical Setting? Predictive Property and Longitudinal Stability in Japanese Patients.

Authors:  Koichi Nishimura; Masaaki Kusunose; Ryo Sanda; Mio Mori; Ayumi Shibayama; Kazuhito Nakayasu
Journal:  Diagnostics (Basel)       Date:  2021-02-27

5.  COPD in Germany: Use of Diagnostic Measures Including Blood Eosinophil Counts in Daily Practice.

Authors:  T Greulich; V Töpfer; M Hennig; C C Orehounig; K Ams; C D Mohrlang; P H Killian; P Kardos
Journal:  Pneumologie       Date:  2020-12-11

6.  Neutrophil-to-lymphocyte ratio, blood eosinophils and COPD exacerbations: a cohort study.

Authors:  Jens Ellingsen; Christer Janson; Kristina Bröms; Karin Lisspers; Björn Ställberg; Marieann Högman; Andrei Malinovschi
Journal:  ERJ Open Res       Date:  2021-12-27

7.  The stability of blood eosinophils in stable chronic obstructive pulmonary disease: a retrospective study in Belgian primary care.

Authors:  Inès Van Rossem; Jan Vandevoorde; Shane Hanon; Sander Deridder; Eef Vanderhelst
Journal:  BMC Pulm Med       Date:  2020-07-22       Impact factor: 3.317

8.  Blood Eosinophilia and Its Stability in Hospitalized COPD Exacerbations are Associated with Lower Risk of All-Cause Mortality.

Authors:  Ying Zhang; Li-Rong Liang; Shu Zhang; Yong Lu; Yang-Yu Chen; Huan-Zhong Shi; Ying-Xiang Lin
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-05-19

9.  Predictive Value of Exhaled Nitric Oxide and Blood Eosinophil Count in the Assessment of Airway Eosinophilia in COPD.

Authors:  Balazs Antus; Csilla Paska; Imre Barta
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-08-25

Review 10.  Blood eosinophil counts in the general population and airways disease: a comprehensive review and meta-analysis.

Authors:  Victoria S Benson; Sylvia Hartl; Neil Barnes; Nicholas Galwey; Melissa K Van Dyke; Namhee Kwon
Journal:  Eur Respir J       Date:  2022-01-13       Impact factor: 16.671

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