Exacerbations in Adults with Asthma: A Systematic Review and External Validation of Prediction Models.

[1]  Todor A Popov,et al.  Identifying Risk of Future Asthma Attacks Using UK Medical Record Data: A Respiratory Effectiveness Group Initiative. , 2017, The journal of allergy and clinical immunology. In practice.

[2]  Meilan K. Han,et al.  Biomarkers Predictive of Exacerbations in the SPIROMICS and COPDGene Cohorts , 2017, American journal of respiratory and critical care medicine.

[3]  K. Kostikas,et al.  Predictors of future exacerbation risk in patients with asthma , 2016, Postgraduate medicine.

[4]  G. Collins,et al.  Prediction models for cardiovascular disease risk in the general population: systematic review , 2016, British Medical Journal.

[5]  W. Assendelft,et al.  Identifying patients at risk for severe exacerbations of asthma: development and external validation of a multivariable prediction model , 2016, Thorax.

[6]  David Price,et al.  Predicting frequent asthma exacerbations using blood eosinophil count and other patient data routinely available in clinical practice , 2016, Journal of asthma and allergy.

[7]  Johannes B. Reitsma,et al.  Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use , 2015, PLoS medicine.

[8]  Ioannis Pandis,et al.  Clinical and inflammatory characteristics of the European U-BIOPRED adult severe asthma cohort , 2015, European Respiratory Journal.

[9]  Helen K. Reddel,et al.  A summary of the new GINA strategy: a roadmap to asthma control , 2015, European Respiratory Journal.

[10]  Christine Jenkins,et al.  Development and validation of a novel risk score for asthma exacerbations: The risk score for exacerbations. , 2015, The Journal of allergy and clinical immunology.

[11]  Karel G M Moons,et al.  A new framework to enhance the interpretation of external validation studies of clinical prediction models. , 2015, Journal of clinical epidemiology.

[12]  W. Assendelft,et al.  Symptom- and fraction of exhaled nitric oxide-driven strategies for asthma control: A cluster-randomized trial in primary care. , 2015, The Journal of allergy and clinical immunology.

[13]  J. Ioannidis,et al.  External validation of new risk prediction models is infrequent and reveals worse prognostic discrimination. , 2015, Journal of clinical epidemiology.

[14]  G. Collins,et al.  Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist , 2014, PLoS medicine.

[15]  J. Beier,et al.  Abediterol in stable asthma:efficacy, safety and tolerability results from a Phase II, randomised, crossover study , 2014 .

[16]  G. Collins,et al.  External validation of multivariable prediction models: a systematic review of methodological conduct and reporting , 2014, BMC Medical Research Methodology.

[17]  S. Greenberg.  Asthma exacerbations: predisposing factors and prediction rules , 2013, Current opinion in allergy and clinical immunology.

[18]  E. Steyerberg,et al.  Reporting and Methods in Clinical Prediction Research: A Systematic Review , 2012, PLoS medicine.

[19]  M. Leeflang,et al.  Search Filters for Finding Prognostic and Diagnostic Prediction Studies in Medline to Enhance Systematic Reviews , 2012, PloS one.

[20]  M. Eisner,et al.  Severity of asthma score predicts clinical outcomes in patients with moderate to severe persistent asthma. , 2012, Chest.

[21]  J. Haughney,et al.  Current Control and Future Risk in Asthma Management , 2011, Allergy, asthma & immunology research.

[22]  N. Obuchowski,et al.  Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures , 2010, Epidemiology.

[23]  I. Pavord,et al.  An official American Thoracic Society/European Respiratory Society statement: asthma control and exacerbations: standardizing endpoints for clinical asthma trials and clinical practice. , 2009, American journal of respiratory and critical care medicine.

[24]  Qingxia Chen,et al.  Dealing with missing predictor values when applying clinical prediction models. , 2009, Clinical chemistry.

[25]  Toshiyuki Yamagata,et al.  The Strategy for Predicting Future Exacerbation of Asthma Using a Combination of the Asthma Control Test and Lung Function Test , 2009, The Journal of asthma : official journal of the Association for the Care of Asthma.

[26]  William W Busse,et al.  Severe exacerbations and decline in lung function in asthma. , 2009, American journal of respiratory and critical care medicine.

[27]  Y. Vergouwe,et al.  Validation, updating and impact of clinical prediction rules: a review. , 2008, Journal of clinical epidemiology.

[28]  I. Pavord,et al.  A new perspective on concepts of asthma severity and control , 2008, European Respiratory Journal.

[29]  Y Vergouwe,et al.  Updating methods improved the performance of a clinical prediction model in new patients. , 2008, Journal of clinical epidemiology.

[30]  H. Magnussen,et al.  Budesonide/formoterol for maintenance and relief in uncontrolled asthma vs. high-dose salmeterol/fluticasone. , 2007, Respiratory medicine.

[31]  A. Buist,et al.  Assessing future need for acute care in adult asthmatics: the Profile of Asthma Risk Study: a prospective health maintenance organization-based study. , 2007, Chest.

[32]  D. Postma,et al.  Severe exacerbations predict excess lung function decline in asthma , 2007, European Respiratory Journal.

[33]  P. Kuna,et al.  Effect of budesonide/formoterol maintenance and reliever therapy on asthma exacerbations , 2007, International journal of clinical practice.

[34]  S. Wenzel,et al.  TENOR risk score predicts healthcare in adults with severe or difficult-to-treat asthma , 2006, European Respiratory Journal.

[35]  K. Rabe,et al.  Effect of budesonide in combination with formoterol for reliever therapy in asthma exacerbations: a randomised controlled, double-blind study , 2006, The Lancet.

[36]  L. Markson,et al.  Using an asthma control questionnaire and administrative data to predict health-care utilization. , 2006, Chest.

[37]  Yvonne Vergouwe,et al.  Substantial effective sample sizes were required for external validation studies of predictive logistic regression models. , 2005, Journal of clinical epidemiology.

[38]  F. Dominici,et al.  Predicting patient-reported asthma outcomes for adults in managed care. , 2004, The American journal of managed care.

[39]  Philip Marcus,et al.  Development of the asthma control test: a survey for assessing asthma control. , 2004, The Journal of allergy and clinical immunology.

[40]  Diana Petitti,et al.  Risk factors for asthma hospitalizations in a managed care organization: development of a clinical prediction rule. , 2003, The American journal of managed care.

[41]  Bette Jean Ingui,et al.  Research Paper: Searching for Clinical Prediction Rules in MEDLINE , 2001, J. Am. Medical Informatics Assoc..

[42]  G H Guyatt,et al.  Development and validation of a questionnaire to measure asthma control. , 1999, The European respiratory journal.

[43]  K. Covinsky,et al.  Assessing the Generalizability of Prognostic Information , 1999, Annals of Internal Medicine.

[44]  T. Lieu,et al.  Computer-based models to identify high-risk adults with asthma: is the glass half empty of half full? , 1999, The Journal of asthma : official journal of the Association for the Care of Asthma.

[45]  C. Viscoli,et al.  A new index of prognostic severity for chronic asthma. , 1997, Chest.

[46]  J Grana,et al.  The Use of Administrative Data to Risk-Stratify Asthmatic Patients , 1997, American journal of medical quality : the official journal of the American College of Medical Quality.

[47]  R. Pauwels,et al.  GLOBAL STRATEGY FOR ASTHMA MANAGEMENT AND PREVENTION , 1996 .

[48]  E. Yelin,et al.  Work disability among adults with asthma. , 1993, Chest.