C-reactive protein in outpatients with acute exacerbation of COPD: its relationship with microbial etiology and severity

Abstract

Background

C-reactive protein (CRP) measurement has proven valuable for detecting exacerbations, but its usefulness in predicting etiology remains controversial. Likewise, its potential value as a marker of severity, which is well established in patients with pneumonia, remains unproven in chronic obstructive pulmonary disease (COPD) exacerbations.

Methods

A cohort study of 118 patients with severe COPD and acute infectious exacerbations were included and followed up over 1 year. Episodes of exacerbations meeting Anthonisen’s criteria type I–II were evaluated, analyzing the etiology and inflammatory response as measured by CRP in blood.

Results

A total of 380 episodes were recorded. Full microbiological analysis was available in 265 samples. Haemophilus influenzae was the most commonly isolated bacteria and rhinovirus the most common virus. Median CRP levels from the 265 episodes were higher in the cases with positive cultures for bacteria (58.30 mg/L, interquartile range [IQR] 21.0–28.2) than in episodes only positive for viruses (37.3 mg/L, IQR 18.6–79.1) and cases negative for any microorganism (36.4 mg/L, IQR 10.8–93.7) (P<0.014). H. influenzae and Streptococcus pneumoniae reached the highest CRP levels of 74.5 mg/L (IQR 23.9–167.9) and 74.1 mg/L (IQR 42.0–220.7), respectively. In the 380 exacerbations studied, 227 (~60%) were community-managed, while 153 (~40%) required hospital admission. In the multivariate analysis to assess the influence of inflammatory response on exacerbation severity, baseline hypercapnia (odds ratio [OR]: 2.70, 95% confidence interval [CI]: 1.46–4.9) and CRP levels >100 mg/L (OR: 4.23, 95% CI: 2.12–8.44) were independent predictors after adjustment for baseline characteristics.

Conclusion

CRP level was higher in bacterial infections, especially when H. influenzae and S. pneumoniae were isolated. CRP values >100 mg/L were associated with a fourfold increased risk of hospital admission. Therefore, CRP blood levels may be a useful biomarker in the management of exacerbations appearing in patients with severe disease.

Keywords:

• COPD exacerbations
• C-reactive protein
• viruses
• hospital admission

Introduction

In the natural history of chronic obstructive pulmonary disease (COPD), exacerbations have a significant impact on mortality,¹ especially in those who require hospital admission. Indeed, exacerbations become more frequent and more severe as the severity of COPD increases.² Although exacerbations have multiple causes, an infectious etiology is by far the most frequent, with figures up to 78% for hospital-admitted COPD patients.³ Bacterial infections account for one-half of the acute episodes, while respiratory viruses are identified in more than one-quarter, with rhinovirus (RV) and influenza being the most commonly detected viral pathogens. Microbiological studies have identified change in sputum color and purulence as good surrogate markers for bacterial infection,^4,5 while the detection of viruses in exacerbations is only marginally associated with the appearance of changes in the characteristics of sputum.^6,7 Both respiratory bacteria and viruses are able to produce major local and systemic inflammatory responses, and biomarkers such as C-reactive protein (CRP) have been extensively studied and used as an alternative test to diagnose bacterial infections in both COPD and pneumonia.^8,9 Likewise, in stable COPD, CRP levels have been examined as a marker of bacterial colonization and/or subclinical infection¹⁰ but in studies of exacerbated COPD patients, including viral etiology, they have proven unable to distinguish virus-associated exacerbations from others.⁷ In fact, a recent study by Clark et al demonstrated a higher level of CRP in exacerbations due to viruses than in those with positive cultures for bacteria.¹¹

Few studies have evaluated the usefulness of CRP as a predictor of the severity of acute episodes. Studies that have suggested that high CRP levels are a marker of exacerbation in COPD have not demonstrated its value for the identification of episodes severe enough to require admission.¹² In severe COPD outpatients, studies of CRP are scarce, and the relationship between microorganisms and the severity of exacerbations is not fully understood.

The aim of the present study was to identify the causative microorganism (either bacterium or virus) in Anthonisen type I–II¹³ exacerbation episodes in a cohort of severe COPD outpatients. We evaluated the systemic inflammatory response as measured by CRP blood levels and assessed their impact on the severity of the episode, measured as the need for hospital admission.

Materials and methods

Outpatients from a Severe COPD Cohort regularly attending a Respiratory Diseases Day Care Unit for scheduled and exacerbation visits from 2005^14,15 were the target population for the present study. Patients included in the cohort had scheduled visits and received education on self-care of the disease and a personal action plan, with unscheduled visits when exacerbation symptoms appeared, as described elsewhere.¹⁴ Inclusion criteria for the study were a baseline forced spirometry showing a forced expiratory volume in 1 second (FEV₁) <50% of the reference value and the report of three or more exacerbations in the previous year. Age <40 years, previous diagnosis of asthma, cystic fibrosis, cancer, bronchiectasis diagnosed from a previous chest X-ray, and chronic treatment with oral corticosteroids, immunosuppressive drugs, or long-term systemic or inhaled antibiotic therapy were exclusion criteria for the study. Ethical permission for the study was obtained from the Sabadell Hospital Ethics Committee and written informed consent was given by each participant on enrollment.

Clinical variables

At baseline, smoking history, severity of the disease, Body-mass, airflow Obstruction, Dyspnea, and Exercise index,¹⁶ comorbidities (Charlson Comorbidity Index),¹⁷ and use of long-term home oxygen therapy was recorded. COPD was defined as a post bronchodilator ratio of FEV₁ to forced vital capacity of <0.7 according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria, in a patient with a smoking habit of >10 pack-years.¹⁸ A computed tomography scan was obtained as part of the patient’s baseline characterization in order to identify undiagnosed bronchiectasis, grading its extension in accordance with previously reported criteria.¹⁴

Participants from the Severe COPD Cohort underwent the same scheduled clinical controls performed by the same team of pulmonologists at the respiratory daycare unit. They received regular treatment with long-acting beta-agonists, anticholinergics, and inhaled corticosteroids in accordance with current guidelines,¹⁸ and attended the unit for unscheduled visits when acute symptoms appeared. All visits were recorded, together with hospitalizations and mortality due to respiratory causes.

Exacerbations suffered by patients from the Severe COPD Cohort participating in the study were the target for the present study. Episodes that required an unscheduled visit at the unit and met more than two Anthonisen’s criteria¹³ between January 2005 and March 2008 were considered for the study. In all episodes, acute symptoms were recorded, together with fever, respiratory rate (RR), and upper respiratory symptoms (nasal congestion, increased rhinorrhea, or sore throat). A chest X-ray was performed to rule out pneumonia.

Blood analyses, including blood counts, renal function, electrolytes, CRP levels, and arterial gases, were performed in all exacerbations, and a spontaneous sputum sample was obtained before the administration of antibiotics. Decisions regarding treatment and admission were left to the discretion of attending physicians, and were taken in accordance with international guidelines.^18,19 Exacerbations were considered severe in the presence of criteria for hospital admission.²⁰

Episodes in which prior antibiotic or corticosteroids were administered (<5 days) were excluded from the final analysis.²¹

Sputum samples

Spontaneous sputum samples were collected from each exacerbation and processed within 60 minutes of collection. Murray–Washington criteria were used for the identification and selection of samples representative of bronchial secretions.²² Sputum samples graded Murray IV–V were cultured for potentially pathogenic microorganisms (PPMs) in selective media according to standard methods, and cultures were considered positive when PPMs were recovered.²³

Briefly, samples were vortexed for 30–60 seconds after homogenization with sputolysin and 10 µL of the solution obtained was cultured using a calibrated loop in blood agar, blood agar with nalidixic acid, chocolate agar, and McConkey agar plates. All plates were incubated in a 5% carbon dioxide incubator at 35°C (MacConkey agar under aerobic conditions) and read at 18 and 48 hours. Gram-negative and Gram-positive bacteria recognized as agents causing respiratory infections, such as Haemophilus influenzae, Haemophilus parainfluenzae, Streptococcus pneumoniae, Moraxella catarrhalis, Pseudomonas aeruginosa, Staphylococcus aureus, and Enterobacteriaceae, were considered as PPMs.²⁴

The number of colony forming units per milliliter of sputum was calculated from the number of colonies obtained and the dilution of the sputum. Bacteriology data are expressed as the total bacterial count in log base 10.

Viral DNA/RNA was extracted from 200 µL of respiratory clinical samples previously liquefied with Sputasol^® (Oxoid Limited, Basingstoke, UK) in a 37°C water bath for 20 minutes. Then, DNA/RNA was extracted using QIAmp MinElute Virus Spin procedure on the QIAcube^® (Qiagen, Hilden, Germany) obtaining 50 µL of nucleic acid elute.

A multiplex retrotranscriptase-nested polymerase chain reaction (RT-PCR) assay was used for simultaneous detection of parainfluenza virus (1, 2, 3, 4AB), human coronavirus 229E and OC43, enterovirus, RV, influenza virus A, B, C, respiratory syncytial virus (RSV), and adenovirus following the procedure described by Coiras et al.²⁵

Statistical analysis

Data were analyzed using GraphPad PRISM version 7.0 (GraphPad Software Inc., San Diego, CA, USA) and PASW Statistics version 21 (SPSS Inc., Chicago, IL, USA). Results for categorical variables were expressed as absolute and relative frequencies, and continuous variables were expressed as mean values and standard deviations (SDs) or median and interquartile ranges (IQRs) when distribution was non-normal.

We used a generalized estimating equation (GEE) logistic model with an exchangeable within-patient correlation structure and robust standard errors to account for individual patients with multiple exacerbations. The GEE logistic regression model was used to analyze factors associated with hospital admission. In the model we included all patient-related covariates that were judged a priori to be clinically relevant and those with a P-value <0.1. Correlations between pairs of predictors were examined to ensure the absence of multicollinearity in the model. Odds ratio and their confidence intervals were estimated with 95% confidence. For all GEE analyses, a univariate analysis was carried out first.

Results

Patient characteristics

One hundred eighteen patients from the Severe COPD Cohort met the inclusion criteria for the study. The study population was predominantly male, with a mean (SD) age of 69 (8) years, and over half of the cases were classified as GOLD IV. Their baseline clinical characteristics are shown in Table 1. A total of 386 sputum samples were obtained during exacerbations meeting ≥2 Anthonisen criteria in the follow-up period, with a median exacerbation rate of 1.70 (IQR 0.90–2.66) episodes per year. A single exacerbation was reported in 44 patients, whereas 24 presented two and the remaining 50 presented three or more. Six episodes were excluded from further analysis due to corticosteroid treatment and/or antibiotic treatment in the last 5 days before the current episode. Of the remaining 380 episodes, 227 (60%) were community-managed, with oral antibiotics and/or corticosteroids (96.5% and 59%, respectively), while 153 episodes (40%) were considered severe and required hospital admission.

Table 1 Baseline and clinical characteristics of 118 patients with severe COPD and acute infectious exacerbations

Subjects	N=118
Follow-up (days)	1,003±306
Age (years)	69.5±8.2
Current smoking	13 (11)
Pack-years	63.3±31.9
Alcohol abuse >80 g/L	3 (2.5)
Influenza vaccination	105 (89)
Pneumococcus vaccination	57 (48.3)
Body mass index (kg/m^2)	27.5±4.6
FEV1 post-BD (L)	0.97±0.3
FEV1 post-BD (% predicted)	34±11
GOLD stage IV	71 (60)
BODE score	5.1±1.6
Basal hypercapnia	49 (41.5)
LTOT	50 (42.4)
Charlson Comorbidity Index	4.13±1.5
Bronchiectasis	56 (47.5)

Notes: Data are presented as mean ± SD or n (%), unless otherwise stated. Hypercapnia defined as PaCO₂ >5.9 Kpa.

Abbreviations: BODE, Body-mass index, airflow Obstruction, Dyspnea, and Exercise index; COPD, chronic obstructive pulmonary disease; FEV₁, forced expiratory volume in 1 second; GOLD, Global Initiative for Chronic Obstructive Lung Disease; LTOT, long-term oxygen therapy; m, mean; post-BD, post bronchodilator; SD, standard deviation.

Microbiology

From a total of 380 sputum samples collected, full microbiological analyses were possible from 265 exacerbations providing samples valid for analysis according to Murray–Washington criteria and harboring enough material to perform RT-PCR (Figure 1). Pathogenic bacteria were cultivated from 167 (63%) of the episodes, with H. influenzae (n=66), S. pneumoniae (n=28), M. catarrhalis (n=28), and P. aeruginosa (n=28) being the most frequently recovered species. In 96 samples (36%), viruses were detected; RV was the most common (56) followed by parainfluenzae (17), influenza virus (9), coronavirus (7), RV (5), and adenovirus (2). Viruses were identified from 45 of the 98 samples with negative cultures for bacteria (45.9%) and from 51 of the 167 exacerbations with cultures showing bacterial infection (30.5%), which were accordingly considered as coinfections. In these episodes, the relationships between bacterial type and viruses detected did not show statistical significance (P=0.9).

Figure 1 Flowchart for sputum samples included in the study.

Abbreviation: RT-PCR, retrotranscriptase-nested polymerase chain reaction.

Seasonal virus distribution demonstrated a higher prevalence of virus infections during fall and winter. RVs were present at all times of year, while parainfluenza, influenza, and RSV were predominately isolated in fall or winter (Figure 2).

Figure 2 Seasonal pattern of virus detection in episodes of acute exacerbation (AE) of COPD (265 episodes analyzed).

Abbreviation: COPD, chronic obstructive pulmonary disease.

CRP levels and etiology of exacerbations

Median CRP levels from the 265 episodes with full microbiological analyses were higher in cases with positive cultures for bacteria (58.3 mg/L, IQR 21.0–128.2) than in episodes only positive for viruses (37.3 mg/L, IQR 18.6–79.1) and cases negative for any microorganism (36.4 mg/L, IQR 10.8–93.7) (P<0.014). In bacterial infections, CRP reached the highest levels in exacerbations due to S. pneumoniae (74.1, IQR 42.0–220.7) and H. influenza (74.5, IQR 23.9–167.9) in comparison with episodes related to P. aeruginosa (45.2, IQR 11.1–70.1) or infections due exclusively to viruses (37.3, IQR 18.6–79.1) (Table 2). CRP was not related with bacterial load except for S. pneumoniae, in which a significant correlation was observed (Figure 3). Episodes due to S. pneumoniae also reported fever (15, 56%) and required hospital admission (17, 60.7%) more frequently than other microorganisms (P=0.061 and 0.002, respectively). Self-reported upper airway symptoms were similar across the groups (Table 2).

Table 2 Clinical characteristics and inflammatory biomarkers by microorganism (N=265)*

	HI, n=66	SP, n=28	MC, n=28	PS, n=28	Other, n=17	Negative, n=53	Only virus, n=45	P-value$
Fever (%)+	40	56	36	11.5	33.3	41.7	34.9	0.061
UAS (%)#	26.2	17.9	28.6	5.6	6.0	18.4	25.6	0.315
WBC count, median (IQR)	10,480 (8,560–12,970)	11,500 (9,670–14,740)	9,420 (7,862–9,420)	8,985 (7,927–10,365)	9,250 (6,740–13,250)	10,435 (8,487–11,427)	9,585 (7,230–11,355)	0.039
CRP (mg/L), median (IQR)	74.50 (23.90–167.90)	74.10 (42.0–220.7)	38.10 (20.60–95.40)	45.20 (11.10–70.10)	51.90 (23.60–166.0)	36.40 (10.80–93.70)	37.30 (18.60–79.10)	0.026
Hospital admission (%)	47	60.7	21.4	57	41.1	22.6	37.8	0.002

Notes:

* Primary pathogen included; when more than two bacteria were isolated, the higher bacterial load was analyzed.

+ Missing values: 1 in HI group, 1 in SP, 3 in MC, 2 in PS, 2 in Other, 5 in Negative, and 2 in Only virus.

# Missing values: 1 in HI, 4 in Negative, and 2 in Only virus.

$ Chi-squared across all groups (median test in case of continuous variables).

Abbreviations: CRP, C-reactive protein; HI, Haemophilus influenzae; IQR, interquartile range; MC, Moraxella catarrhalis; PS, Pseudomonas aeruginosa; SP, Streptococcus pneumoniae; UAS, upper airway symptoms; WBC, white blood cell.

Figure 3 Relationship between bacterial load and CRP (Spearman’s correlation coefficient rho =0.92; P=0.006 in exacerbations due to S. pneumoniae).

Abbreviations: cfu, colony forming units; CRP, C-reactive protein; H. influenzae, Haemophilus influenzae; M. catarrhalis, Moraxella catarrhalis; P. aeruginosa, Pseudomonas aeruginosa; S. pneumoniae, Streptococcus pneumoniae.

CRP and exacerbation severity

In the 380 exacerbations studied, significant differences in CRP levels were found between community-attended episodes (37.3 mg/L, IQR 12.8–82.7) and hospitalized episodes (67.4 mg/L, IQR 27.0–189.0).

Other markers of exacerbation severity such as RR, SaO₂, PaO₂, and PaCO₂ were also associated with the need for hospital admission (Table 3). The increase in CRP was significantly associated with increases in RR and leukocytes, and a fall in SaO₂ (rho =0.143; P=0.012, rho =0.270; P<0.01 and rho =−0.185; P<0.01, respectively). In the GEE model for assessing the influence of inflammatory response on exacerbation severity, CRP emerged as predictive, along with long-term oxygen therapy and baseline hypercapnia. When adjusted for clinical variables and comorbidities, both basal hypercapnia and CRP remained in the model, with a fourfold risk of hospital admission when the CRP level was >100 mg/L (Table 4).

Table 3 Markers of exacerbation severity (N=380)

	Reference values	Community-managed, n=227	Hospital admitted, n=153	P-value*
CRP	<5 mg/L	37.3 (12.8–82.7)	67.4 (27.0–189.0)	<0.0001
WBC count	4,000–11,000	9,900 (7,860–11,460)	10,030 (8,500–14,002)	0.001
RR	12–16 breath/min	24 (20–28)	26 (24–30)	0.002
SaO2	96%–100%	94 (92–95)	89 (85–92)	<0.0001
PaO2+	10.6–13.3 KPa	7.9 (7.3–8.6)	7.0 (6.2–7.6)	0.002
PaCO2+	4.6–5.9 KPa	5.7 (5.2–6.6)	6.2 (5.4–7.5)	0.001
pH+	7.35–7.45	7.42 (7.40–7.44)	7.41 (7.39–7.44)	0.443

Notes:

* Univariate generalized estimating equation.

+ Only obtained in 197 episodes. Data presented as median (interquartile range).

Abbreviations: CRP, C-reactive protein; IQR, interquartile range; min, minutes; RR, respiratory rate; WBC, white blood cell.

Table 4 Analysis of factors associated with hospital admission. Results of univariate and multivariate GEE

	OR (95% CI)	P-value	OR (95% CI)	P-value
GOLD stage IV	1.28 (0.75–2.18)	0.36	–	–
Charlson Comorbidity Index	1.15 (0.95–1.40)	0.14	1.12 (0.95–1.32)	0.15
Bronchiectasis	1.39 (0.78–2.47)	0.26	–	–
BODE	1.13 (0.93–1.37)	0.21	–	–
LTOT	1.89 (1.08–3.32)	0.02	1.14 (0.61–2.13)	0.67
Baseline hypercapnia	2.69 (1.56–4.64)	<0.0001	2.70 (1.46–4.9)	0.01
CRP (mg/L)
<18.6	1		1
18.7–47.7	1.74 (0.91–3.33)	0.09	1.64 (0.85–3.15)	0.13
47.8–100	2.56 (1.25–5.24)	0.01	2.21 (1.05–4.68)	0.03
>100	4.44 (2.25–8.78)	<0.0001	4.23 (2.12–8.44)	<0.0001

Note: CRP data is presented as quartiles.

Abbreviations: BODE, Body-mass index, airflow Obstruction, Dyspnea, and Exercise index; CI, confidence interval; CRP, C-reactive protein; GEE, generalized estimating equation; GOLD, Global Initiative for Chronic Obstructive Lung Disease; LTOT, long-term oxygen therapy; OR, odds ratio.

Discussion

In a well-characterized cohort of severe COPD patients with Anthonisen type I–II exacerbations, systemic inflammation, as measured by CRP, was associated with a bacterial etiology (mainly S. pneumoniae or H. influenzae), and with bacterial load when S. pneumoniae was the causative agent. CRP, additionally, was a good predictor of the severity of the exacerbations; patients with CRP levels >100 mg/L presented a fourfold increase in hospitalization. Basal hypercapnia emerged as an additional predictor of admission in the cohort. Thus, CRP emerges as a good biological marker for the identification of severe exacerbations in COPD patients with advanced disease, mainly related to bacterial infections due to S. pneumoniae and H. influenzae.

The prevalence of infection in severe COPD outpatients in our study was 80%, with figures >60% for bacteria and ~40% for viruses, one-half of them as coinfections with pathogenic bacteria. These data are similar to those obtained in other studies that have focused on patients requiring hospitalization due to the severity of the episode,^26,27 suggesting that this etiologic pattern characterizes severe COPD exacerbations. H. influenzae was the most frequently recovered bacteria in the present study and was the cause of one-quarter of the exacerbations, followed by S. pneumoniae, M. catarrhalis, and P. aeruginosa. Consistent with other reports, RVs were the most frequently detected virus in our study, in 30% of the cases as a coinfection with pathogenic bacteria.^27,6

CRP levels in peripheral blood were clearly related to the etiology of the exacerbation in the study population, with the highest figures for S. pneumoniae and H. influenzae and a statistically significant relationship between bacterial load and blood levels of this inflammatory marker for S. pneumoniae. The systemic impact of this PPM has been assessed in patients with pneumonia; it is related to severity and prognosis^9,28 and is determined by a host–pathogen interaction favored by the C-polysaccharide of the pneumococcal cell wall.²⁹ The inflammatory power of H. influenzae in the bronchial tree is well known and has been related to microbial load,¹⁰ but the systemic effect of this PPM has been studied only marginally. The present results confirm that bronchial infections due to H. influenzae have a clear systemic effect in severe COPD patients, as measured by CRP levels in peripheral blood, equivalent to the effect found in S. pneumoniae-related exacerbations. This finding is clinically significant, because H. influenzae is the most prevalent cause of exacerbation in these patients; infections by H. influenzae and S. pneumoniae were the cause of nearly one-half of the episodes. In contrast, virus detection was associated with lower CRP levels and severity. Our results are at odds with those of previous studies that have reported higher levels of serum CRP in patients with virus-induced exacerbations.^6,11 The differences are probably due to the characteristics of the episodes reported here, consisting of exacerbations that appear in the follow-up of a cohort of severe COPD outpatients. Previous studies have focused on severe exacerbations requiring hospitalization and have thus missed milder episodes that may be partially related to viruses and probably evolve with lower CRP levels.

Unfortunately, as previously reported,⁷ CRP levels were unable to predict etiology due to the overlapping of levels between the different microorganisms.

In our study, CRP levels were clearly related to the need for hospitalization; with CRP >100 mg/L, the probability of admission rose more than fourfold. These high CRP figures were mainly related to bacterial infections by S. pneumoniae and H. influenzae. This relationship did not depend on the covariates assessed and supports a role for this inflammatory marker in the management of exacerbations appearing in severe COPD outpatients; however, in previous studies, it did not prove valuable in predicting outcome.^12,30 Our study suggests similarities with pneumonia in relation to the significance of CRP for the management of these entities. In fact, a cutoff >100 mg/L has been associated with adverse outcomes²⁸ and demonstrated a predictive ability for selecting patients requiring intensive care unit (ICU) admission.³¹ Similar values of CRP have been reported in COPD exacerbations for selecting patients requiring ICU admission, although the number of patients included (n=64) was too small to draw conclusions.³²

Our study also underlined the importance of baseline hypercapnia as a marker of severity in acute episodes, in agreement with previous studies that have associated this abnormality with survival.³³ Baseline hypercapnia doubled the risk of hospital admission and it seems reasonable to think that it identified a subgroup of more frail patients, at least in our cohort.

In two studies with exacerbated COPD patients,^34,35 the addition of arterial blood gas parameters (oxygen and carbon dioxide partial pressures and pH) did not improve the prediction of mortality during hospitalization, but was closely related with need for admission. However, no baseline data were recorded in these studies.

Limitations

The present study has some limitations related to patient selection. Participants were from a severe COPD population regularly attending a respiratory daycare unit, and our results cannot be extrapolated to the COPD population as a whole. The number of episodes recorded in the different patients also varied widely. Even though we used a GEE approach to overcome this problem, we cannot rule out a possible over-representation of a particular subset of patients who may be more susceptible to specific microorganisms.

Finally, infections with uncommon respiratory viruses such as metapneumovirus and bocavirus were not evaluated in our study, and the true prevalence of virus infection may therefore be slightly underestimated.

Conclusion

In conclusion, this study demonstrated a high prevalence of bacterial infection, mainly due to H. influenzae, S. pneumoniae, M. catarrhalis, and P. aeruginosa in exacerbations appearing in severe COPD outpatients. The prevalence of viral infections was significantly lower. Systemic inflammation identified through CRP blood levels was higher in bacterial infections, mainly when H. influenzae and S. pneumoniae were the cause, and high figures for this inflammatory biomarker were related to the severity of the episode. The findings suggest that CRP blood levels may be a useful biomarker in the management of exacerbations appearing in these severe patients.

Acknowledgments

We thank Michael Maudsley for providing an outline for this manuscript and support in editing and journal styling.

This work has received funding from Fundació La Marató TV3 and SOCAP.

Disclosure

The authors report no conflicts of interest in this work.