Literature DB >> 23794469

Adrenomedullin refines mortality prediction by the BODE index in COPD: the "BODE-A" index.

Daiana Stolz, Kostantinos Kostikas, Francesco Blasi, Wim Boersma, Branislava Milenkovic, Alicia Lacoma, Renaud Louis, Joachim G Aerts, Tobias Welte, Antoni Torres, Gernot G U Rohde, Lucas Boeck, Janko Rakic, Andreas Scherr, Sabine Hertel, Sven Giersdorf, Michael Tamm.   

Abstract

The BODE (body mass index, airflow obstruction, dyspnoea, exercise capacity) index is well-validated for mortality prediction in chronic obstructive pulmonary disease (COPD). Concentrations of plasma pro-adrenomedullin, a surrogate for mature adrenomedullin, independently predicted 2-year mortality among inpatients with COPD exacerbation. We compared accuracy of initial pro-adrenomedullin level, BODE and BODE components, alone or combined, in predicting 1-year or 2-year all-cause mortality in a multicentre, multinational observational cohort with stable, moderate to very severe COPD. Pro-adrenomedullin was significantly associated (p<0.001) with 1-year mortality (4.7%) and 2-year mortality (7.8%) and comparably predictive to BODE regarding both (C statistics 0.691 versus 0.745 and 0.635 versus 0.679, respectively). Relative to using BODE alone, adding pro-adrenomedullin significantly improved 1-year and 2-year mortality prognostication (C statistics 0.750 and 0.818, respectively; both p<0.001). Pro-adrenomedullin plus BOD was more predictive than the original BODE including 6-min walk distance. In multivariable analysis, pro-adrenomedullin (likelihood ratio Chi-squared 13.0, p<0.001), body mass index (8.5, p=0.004) and 6-min walk distance (7.5, p=0.006) independently foretold 2-year survival, but modified Medical Research Council dyspnoea score (2.2, p=0.14) and forced expiratory volume in 1 s % predicted (0.3, p=0.60) did not. Pro-adrenomedullin plus BODE better predicts mortality in COPD patients than does BODE alone; pro-adrenomedullin may substitute for 6-min walk distance in BODE when 6-min walk testing is unavailable.

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Year:  2013        PMID: 23794469     DOI: 10.1183/09031936.00058713

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  12 in total

1.  Machine Learning and Prediction of All-Cause Mortality in COPD.

Authors:  Matthew Moll; Dandi Qiao; Elizabeth A Regan; Gary M Hunninghake; Barry J Make; Ruth Tal-Singer; Michael J McGeachie; Peter J Castaldi; Raul San Jose Estepar; George R Washko; James M Wells; David LaFon; Matthew Strand; Russell P Bowler; MeiLan K Han; Jorgen Vestbo; Bartolome Celli; Peter Calverley; James Crapo; Edwin K Silverman; Brian D Hobbs; Michael H Cho
Journal:  Chest       Date:  2020-04-27       Impact factor: 9.410

2.  The Challenges of Precision Medicine in COPD.

Authors:  Mario Cazzola; Luigino Calzetta; Paola Rogliani; Maria Gabriella Matera
Journal:  Mol Diagn Ther       Date:  2017-08       Impact factor: 4.074

3.  MR-proADM Predicts Exercise Capacity and Survival Superior to Other Biomarkers in PH.

Authors:  Martin Kolditz; Hans-Jürgen Seyfarth; Heinrike Wilkens; Ralf Ewert; Tom Bollmann; Christiane Dinter; Sabine Hertel; Hans Klose; Christian Opitz; Ekkehard Grünig; Gert Höffken; Michael Halank
Journal:  Lung       Date:  2015-09-12       Impact factor: 2.584

4.  MR-proADM and MR-proANP levels in patients with acute pulmonary embolism.

Authors:  Önsel Öner; Figen Deveci; Selda Telo; Mutlu Kuluöztürk; Mehmet Balin
Journal:  J Med Biochem       Date:  2020-09-02       Impact factor: 3.402

Review 5.  Systematic review regarding metabolic profiling for improved pathophysiological understanding of disease and outcome prediction in respiratory infections.

Authors:  Manuela Nickler; Manuel Ottiger; Christian Steuer; Andreas Huber; Janet Byron Anderson; Beat Müller; Philipp Schuetz
Journal:  Respir Res       Date:  2015-10-15

6.  Statins and morbidity and mortality in COPD in the COMIC study: a prospective COPD cohort study.

Authors:  Emanuel Citgez; Job van der Palen; Kirsten Koehorst-Ter Huurne; Kris Movig; Paul van der Valk; Marjolein Brusse-Keizer
Journal:  BMJ Open Respir Res       Date:  2016-06-17

7.  Prognostic assessment in COPD without lung function: the B-AE-D indices.

Authors:  Lucas Boeck; Joan B Soriano; Marjolein Brusse-Keizer; Francesco Blasi; Konstantinos Kostikas; Wim Boersma; Branislava Milenkovic; Renaud Louis; Alicia Lacoma; Remco Djamin; Joachim Aerts; Antoni Torres; Gernot Rohde; Tobias Welte; Pablo Martinez-Camblor; Janko Rakic; Andreas Scherr; Michael Koller; Job van der Palen; Jose M Marin; Inmaculada Alfageme; Pere Almagro; Ciro Casanova; Cristobal Esteban; Juan J Soler-Cataluña; Juan P de-Torres; Marc Miravitlles; Bartolome R Celli; Michael Tamm; Daiana Stolz
Journal:  Eur Respir J       Date:  2016-04-21       Impact factor: 16.671

8.  Indacaterol/glycopyrronium versus salmeterol/fluticasone in the prevention of clinically important deterioration in COPD: results from the FLAME study.

Authors:  Antonio R Anzueto; Konstantinos Kostikas; Karen Mezzi; Steven Shen; Michael Larbig; Francesco Patalano; Robert Fogel; Donald Banerji; Jadwiga A Wedzicha
Journal:  Respir Res       Date:  2018-06-20

9.  Prognostic models for outcome prediction in patients with chronic obstructive pulmonary disease: systematic review and critical appraisal.

Authors:  Vanesa Bellou; Lazaros Belbasis; Athanasios K Konstantinidis; Ioanna Tzoulaki; Evangelos Evangelou
Journal:  BMJ       Date:  2019-10-04

10.  Adrenomedullin for Risk Stratification of Emergency Patients With Nonspecific Complaints: An Interventional Multicenter Pilot Study.

Authors:  Christian Hans Nickel; Anna Sarah Messmer; Leyla Ghanim; Julia Ilsemann-Karakoumis; Sven Giersdorf; Sabine Hertel; Susanne Ernst; Nicolas Geigy; Roland Bingisser
Journal:  Medicine (Baltimore)       Date:  2016-01       Impact factor: 1.817

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