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[...]there is a great interest in defining the COPD population most likely to benefit from ICS treatment (3). Peripheral blood eosinophil counts are increasingly recognized as a biomarker for a beneficial response to ICSs in COPD, although most of the current knowledge is derived from post hoc analyses of clinical trials and retrospective explorations (4). [...]it remains unknown whether the trajectory of blood eosinophils differs between patients with COPD and control subjects without COPD. [...]the aims of this study were to determine the stability of blood eosinophil counts over time in patients with COPD and control subjects without COPD derived from the general population and to examine the impact of sex, age, smoking status, and eosinophil counts at baseline on eosinophil stability. Kaplan-Meier survival curves were plotted to describe the stability of eosinophil count for patients with COPD and matched control subjects (using the LIFETEST procedure, SAS 9.4; SAS Institute, Cary, NC). [...]this study indicated that stability of blood eosinophil counts was higher in patients with COPD with a baseline eosinophil count less than 0.343109 cells/L. [...]the results indicate that the prevalence of peripheral blood eosinophilia is increased in patients 2. Blood eosinophil count and exacerbations in severe chronic obstructive pulmonary disease after withdrawal of inhaled corticosteroids: a post-hoc analysis of the WISDOM trial. Blood eosinophil counts, exacerbations, and response to the addition of inhaled fluticasone furoate to vilanterol in patients with chronic obstructive pulmonary disease: a secondary analysis of data from two parallel randomised controlled trials.

The prothrombotic phenotype has been extensively described in patients with acute coronavirus disease 2019 (COVID‐19). However, potential long‐term hemostatic abnormalities are unknown. To evaluate the changes in routine hemostasis laboratory parameters and tissue‐type plasminogen activator (tPA) rotational thromboelastometry (ROTEM) 6 months after COVID‐19 intensive care unit (ICU) discharge in patients with and without venous thromboembolism (VTE) during admission. Patients with COVID‐19 of the Maastricht Intensive Care COVID cohort with tPA ROTEM measurement at ICU and 6‐month follow‐up were included. TPA ROTEM is a whole blood viscoelastic assay that illustrates both clot development and fibrinolysis due to simultaneous addition of tissue factor and tPA. Analyzed ROTEM parameters include clotting time, maximum clot firmness (MCF), lysis onset time (LOT), and lysis time (LT). Twenty‐two patients with COVID‐19 were included and showed extensive hemostatic abnormalities before ICU discharge. TPA ROTEM MCF (75 mm [interquartile range, 68‐78]‐59 mm [49‐63]; P ≤ .001), LOT (3690 seconds [2963‐4418]‐1786 seconds [1465‐2650]; P ≤ .001), and LT (7200 seconds [6144‐7200]‐3138 seconds [2591‐4389]; P ≤ .001) normalized 6 months after ICU discharge. Of note, eight and four patients still had elevated fibrinogen and D‐dimer concentrations at follow‐up, respectively. In general, no difference in median hemostasis parameters at 6‐month follow‐up was observed between patients with (n=14) and without (n=8) VTE, although fibrinogen appeared to be lower in the VTE group (VTE–, 4.3 g/L [3.7‐4.7] vs VTE+, 3.4 g/L [3.2‐4.2]; P = .05). Six months after COVID‐19 ICU discharge, no persisting hypercoagulable or hypofibrinolytic profile was detected by tPA ROTEM. Nevertheless, increased D‐dimer and fibrinogen concentrations persist up to 6 months in some patients, warranting further exploration of the role of hemostasis in long‐term morbidity after hospital discharge.

Background: Disturbances of intestinal integrity, manifested by increased gastro-intestinal (GI) permeability, have been found in chronic obstructive pulmonary disease (COPD) patients during physical activity, often associated with intermittent hypoxic periods. Evidence about extrapulmonary organ disturbances, especially of the GI tract, during hospitalised acute exacerbation of COPD (AE-COPD) with hypoxaemic respiratory failure (RF) is lacking. Objective: The aim was to assess changes in GI permeability in patients with AE-COPD and during recovery 4 weeks later. Methods: All patients admitted to our hospital with AE-COPD accompanied by hypoxaemia at admission (PaO 2 <8.7 kPa or O 2 saturation <93%) were screened between October 2013 and February 2014. Patients with a history of GI or renal disease, chronic heart failure, or use of non-steroidal anti-inflammatory drugs in the 48 h before the test were excluded. GI permeability was assessed by evaluating urinary excretion ratios of the orally ingested sugars lactulose/L-rhamnose (L/R ratio), sucrose/L-rhamnose (Su/R ratio) and sucralose/erythritol (S/E ratio). Results: Seventeen patients with severe to very severe COPD completed the study. L/R ratio (×10 3 ) at admission of AE-COPD was significantly higher than in the recovery condition (40.9 [29.4–49.6] vs. 27.3 [19.5–47.7], p = 0.039), indicating increased small intestinal permeability. There were no significant differences in the individual sugar levels in urine nor in the 0- to 5-h urinary S/E and Su/R ratios between the 2 visits. Conclusion: This is the first study showing increased GI permeability during hospitalised AE-COPD accompanied by hypoxaemic RF. Therefore, GI integrity in COPD patients is an attractive target for future research and for the development of interventions to alleviate the consequences of AE-COPD.

Smoking increases the risk of community-acquired pneumonia (CAP) and is associated with the development of COPD. Until now, it is unclear whether CAP in COPD is due to smoking-related effects, or due to COPD pathophysiology itself. To evaluate the association between COPD and CAP by smoking status. In total, 62,621 COPD and 191,654 control subjects, matched by year of birth, gender and primary care practice, were extracted from the Clinical Practice Research Datalink (2005-2014). Incidence rates (IRs) were estimated by dividing the total number of CAP cases by the cumulative person-time at risk. Time-varying Cox proportional hazard models were used to estimate the hazard ratios (HRs) for CAP in COPD patients versus controls. HRs of CAP by smoking status were calculated by stratified analyses in COPD patients versus controls and within both subgroups with never smoking as reference. IRs of CAP in COPD patients (32.00/1,000 person-years) and controls (6.75/1,000 person-years) increased with age and female gender. The risk of CAP in COPD patients was higher than in controls (HR 4.51, 95% CI: 4.27-4.77). Current smoking COPD patients had comparable CAP risk (HR 0.92, 95% CI: 0.82-1.02) as never smoking COPD patients (reference), whereas current smoking controls had a higher risk (HR 1.23, 95% CI: 1.13-1.34) compared to never smoking controls. COPD patients have a fourfold increased risk to develop CAP, independent of smoking status. Identification of factors related with the increased risk of CAP in COPD is warranted, in order to improve the management of patients at risk.