Literature DB >> 27459873

Evaluation of new laboratory tests to discriminate bacterial from nonbacterial chronic obstructive pulmonary disease exacerbations.

G-J M van de Geijn1, S Denker2, V Meuleman-van Waning2, H G M Koeleman3, E Birnie4, G-J Braunstahl2, T L Njo1.   

Abstract

INTRODUCTIONS: Discriminating bacterial from nonbacterial acute exacerbations of chronic obstructive pulmonary disease (AECOPD) is difficult, causing antibiotics overuse and bacterial resistance. Sputum cultures are of limited use because results take time. In our hospital, only leukocyte concentration and CRP are laboratory parameters evaluated in AECOPD. We evaluated additional tests to discriminate bacterial vs. nonbacterial AECOPD: 5-part leukocyte differentiation (hematology analyzer), leukocyte differentiation using flow cytometry (Leukoflow, Cytodiff), Leuko64 kit, and procalcitonin.
METHODS: Retrospectively, patients were classified as bacterial or nonbacterial AECOPD. ROC analyses tested how the additional tests discriminate these groups.
RESULTS: Twenty-two AECOPD were classified as bacterial and 23 as nonbacterial. From the additional tests, basophil percentage (Cytodiff) has superior AUC (0.800). At a cutoff resulting in ≥90% sensitivity, neutrophil/lymphocyte ratio (AUC:0.755) and CD4-positive T cells (Leukoflow, AUC:0.747) have the highest specificity (57%). Both neutrophil mean volume and standard deviation (Cell Population Data, DxH800 hematology analyzer) had good combined sensitivity and specificity (AUC:0.846/0.804, 91% sensitivity, 69% specificity). Addition of leukocyte populations and procalcitonin to CRP in regression models (AUC: 0.907/0.876/0.890) increased specificity compared to CRP alone (71% or 73% vs. 39%).
CONCLUSION: No additional test has sufficient accuracy on its own to predict bacterial AECOPD. Combining CRP with several parameters from the additional tests may improve this.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  Chronic obstructive pulmonary disease; bacterial infection; exacerbation; flow cytometry; leukocytes

Mesh:

Substances:

Year:  2016        PMID: 27459873     DOI: 10.1111/ijlh.12550

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  7 in total

1.  Biomarkers to guide the use of antibiotics for acute exacerbations of COPD (AECOPD): a systematic review and meta-analysis.

Authors:  George Hoult; David Gillespie; Tom M A Wilkinson; Mike Thomas; Nick A Francis
Journal:  BMC Pulm Med       Date:  2022-05-13       Impact factor: 3.320

Review 2.  Biomarkers in Chronic Obstructive Pulmonary Disease: Emerging Roles of Eosinophils and Procalcitonin.

Authors:  Pradeesh Sivapalan; Jens-Ulrik Jensen
Journal:  J Innate Immun       Date:  2021-08-24       Impact factor: 7.111

3.  Defining the role of neutrophil-to-lymphocyte ratio in COPD: a systematic literature review.

Authors:  Yuliana Pascual-González; Marta López-Sánchez; Jordi Dorca; Salud Santos
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2018-11-05

Review 4.  The role of acute and chronic respiratory colonization and infections in the pathogenesis of COPD.

Authors:  Janice M Leung; Pei Yee Tiew; Micheál Mac Aogáin; Kurtis F Budden; Valerie Fei Lee Yong; Sangeeta S Thomas; Kevin Pethe; Philip M Hansbro; Sanjay H Chotirmall
Journal:  Respirology       Date:  2017-03-25       Impact factor: 6.424

5.  A Simple Scoring System to Differentiate Bacterial from Viral Infections in Acute Exacerbations of COPD Requiring Hospitalization.

Authors:  Agustín Ruiz-González; Eduardo Sáez-Huerta; Montserrat Martínez-Alonso; Albert Bernet-Sánchez; José M Porcel
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2022-04-08

6.  The Value of Inflammatory Biomarkers in Differentiating Asthma-COPD Overlap from COPD.

Authors:  Meng Li; Tian Yang; Ruiqing He; Anqi Li; Wenhui Dang; Xinyu Liu; Mingwei Chen
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-11-20

7.  Interest of the cellular population data analysis as an aid in the early diagnosis of SARS-CoV-2 infection.

Authors:  Marc Vasse; Marie-Christine Ballester; Degnile Ayaka; Dmitry Sukhachev; Frédérique Delcominette; Florence Habarou; Emilie Jolly; Elena Sukhacheva; Tiffany Pascreau; Éric Farfour
Journal:  Int J Lab Hematol       Date:  2020-08-19       Impact factor: 3.450

  7 in total

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