Prediction models for exacerbations in patients with COPD

European Respiratory Review

Volumn 26, Issue 143, 2017, Pages

  Guerra, Beniamino ^a   Gaveikaite, Violeta ^a   Bianchi, Camilla ^a   Puhan, Milo A ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

AGE; AIRWAY OBSTRUCTION; CHRONIC OBSTRUCTIVE LUNG DISEASE; DISEASE EXACERBATION; FORCED EXPIRATORY VOLUME; GLOBAL INITIATIVE FOR CHRONIC OBSTRUCTIVE LUNG DISEASE; HUMAN; MODEL; PERSONALIZED MEDICINE; PREDICTION; PREDICTOR VARIABLE; QUALITY OF LIFE; RANDOMIZED CONTROLLED TRIAL (TOPIC); RESPIRATORY TRACT DISEASE ASSESSMENT; REVIEW; RISK; SMOKING; STATISTICAL ANALYSIS; SYSTEMATIC REVIEW; TIME; VALIDATION STUDY; CHI SQUARE DISTRIBUTION; DECISION SUPPORT SYSTEM; DRUG EFFECTS; LUNG; MULTIVARIATE ANALYSIS; ODDS RATIO; PATHOPHYSIOLOGY; PATIENT SELECTION; PREDICTIVE VALUE; PROPORTIONAL HAZARDS MODEL; REPRODUCIBILITY; RISK ASSESSMENT; RISK FACTOR; SEVERITY OF ILLNESS INDEX; STATISTICAL MODEL;

ANTIINFLAMMATORY AGENT; BRONCHODILATING AGENT;

ANTI-INFLAMMATORY AGENTS; BRONCHODILATOR AGENTS; CHI-SQUARE DISTRIBUTION; DECISION SUPPORT TECHNIQUES; DISEASE PROGRESSION; HUMANS; LOGISTIC MODELS; LUNG; MULTIVARIATE ANALYSIS; ODDS RATIO; PATIENT SELECTION; PRECISION MEDICINE; PREDICTIVE VALUE OF TESTS; PROPORTIONAL HAZARDS MODELS; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SEVERITY OF ILLNESS INDEX;

EID: 85010299123     PISSN: 09059180     EISSN: 16000617     Source Type: Journal    
DOI: 10.1183/16000617.0061-2016     Document Type: Review

References (63)

1. Hamburg MA, Collins FS. The path to personalized medicine. N Engl J Med 2010; 363: 301-304.
2. Weston AD, Hood L. Systems biology, proteomics, and the future of health care: toward predictive, preventative, and personalized medicine introduction: paradigm changes in health care. J Proteome Res 2004; 3: 179-196.
3. Agusti A. The path to personalised medicine in COPD. Thorax 2014; 1-8.
4. Agusti A, Sobradillo P, Celli B. Addressing the complexity of chronic obstructive pulmonary disease: from phenotypes and biomarkers to scale-free networks, systems biology, and P4 medicine. Am J Respir Crit Care Med 2011; 183: 1129-1137.
5. Global Initiative for Chronic Obstructive Lung Disease (GOLD). Global strategy for the diagnosis, management and prevention of COPD, 2016. Available from: http://goldcopd.org/Date last updated: 2016.
6. Puhan MA, Bachmann LM, Kleijnen J, et al. Inhaled drugs to reduce exacerbations in patients with chronic obstructive pulmonary disease: a network meta-analysis. BMC Med 2009; 7: 2.
7. Yu T, Fain K, Boyd CM, et al. Benefits and harms of roflumilast in moderate to severe COPD. Thorax 2014; 69: 616-622.
8. Hingorani AD, Windt DA, Riley RD, et al. Prognosis research strategy (PROGRESS) 4: stratified medicine research. BMJ 2013; 346: e5793.
9. Yu T, Vollenweider D, Varadhan R, et al. Support of personalized medicine through risk-stratified treatment recommendations-an environmental scan of clinical practice guidelines. BMC Med 2013; 11: 7.
10. Steyerberg EW. Clinical Prediction Models. Berlin, Springer, 2010.
11. Moons KG, Royston P, Vergouwe Y, et al. Prognosis and prognostic research 1: what, why, and how? BMJ 2009; 338: 1317-1320.
12. Steyerberg EW, Moons KG, Van Der Windt DA, et al. Prognosis research strategy (PROGRESS) 3: prognostic model research. PLoS Med 2013; 10: e1001381.
13. Moons KG, Kengne AP, Grobbee DE, et al. Risk prediction models: II. External validation, model updating, and impact assessment. Heart 2012; 98: 691-698.
14. Bleeker S, Moll H, Steyerberg EW, et al. External validation is necessary in prediction research: a clinical example. J Clin Epidemiol 2003; 56: 826-832.
15. Altman DG, Vergouwe Y, Royston P, et al. Prognosis and prognostic research 3: validating a prognostic model. BMJ 2009; 338: 1432-1435.
16. Altman DG, Royston P. What do we mean by validating a prognostic model? Stat. Med 2000; 19: 453-473.
17. Systematic Reviews (CRD guidance). Center for Reviews and Dissemination, York, University of York, 2009.
18. Moher D, Liberati A, Tetzlaff J, et al. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA statement. Annu Intern Med 2009; 151: 264-269.
19. Libera ti A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med 2009; 6: e1000100.
20. Collins GS, Reitsma JB, Altman DG, et al. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement. Ann Intern Med 2015; 162: 55-64.
21. Harrell FE, Lee KL, Mark DB. Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996; 15: 361-387.
22. Cochrane Statistical Methods group and Cochrane Bias Methods Group. Assessing risk of bias in included studies. Cochrane Handb Syst Rev Interv 2011.
23. Almagro P, Soriano JB, Cabrera FJ, et al. Short-and medium-term prognosis in patients hospitalized for COPD exacerbation: the CODEX index. Chest 2014; 145: 972-980.
24. Justice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information. Ann Intern Med 1999; 130: 515-524.
25. Celli BR, Cote CG, Marin JM, et al. The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease. N Engl J Med 2004; 350: 1005-1012.
26. Puhan MA, Garcia-Aymerich J, Frey M, et al. Expansion of the prognostic assessment of patients with chronic obstructive pulmonary disease: the updated BODE index and the ADO index. Lancet 2009; 374: 704-711.
27. Almagro P, Barreiro B, Ochoa de Echaguen A, et al. Risk factors for hospital readmission in patients with chronic obstructive pulmonary disease. Respiration 2006; 73: 311-317.
28. Amalakuhan B, Kiljanek L, Parvathaneni A, et al. A prediction model for COPD readmissions: catching up, catching our breath, and improving a national problem. J Community Hosp Intern Med Perspect 2012; 2: 9915.
29. Bertens LC, Reitsma JB, Moons KG, et al. Development and validation of a model to predict the risk of exacerbations in chronic obstructive pulmonary disease. Int J Copd 2013; 8: 493-499.
30. Brusse-Keizer M, van der Palen J, van der Valk P, et al. Clinical predictors of exacerbation frequency in chronic obstructive pulmonary disease. Clin Respir J 2011; 5: 227-234.
31. Chen Y. Readmission in Taiwan. West J Nurs Res 2006; 28: 105-124.
32. Echave-Sustaeta J, Comeche Casanova L, Garcia Lujan R, et al. Prognosis following acute exacerbation of COPD treated with non-invasive mechanical ventilation. Arch Bronconeumol 2010; 46: 405-410.
33. Faganello MM, Tanni SE, Sanchez FF, et al. BODE index and GOLD staging as predictors of 1-year exacerbation risk in chronic obstructive pulmonary disease. Am J Med Sci 2010; 339: 10-14.
34. Garcia-Aymerich J, Farrero E, Félez MA, et al. Risk factors of readmission to hospital for a COPD exacerbation: a prospective study. Thorax 2003; 58: 100-105.
35. Gudmundsson G, Gislason T, Janson C, et al. Risk factors for rehospitalisation in COPD: role of health status, anxiety and depression. Eur Respir J 2005; 26: 414-419.
36. Hurst JR, Vestbo J, Anzueto A, et al. Susceptibility to exacerbation in chronic obstructive pulmonary disease. N Engl J Med 2010; 363: 1128-1138.
37. Jacob A, Laurin C, Boudreau M, et al. The impact of body mass index on chronic obstructive pulmonary disease exacerbations. Can Respir J 2013; 18: 237-242.
38. Jones RC, Donaldson GC, Chavannes NH, et al. Derivation and validation of a composite index of severity in chronic obstructive pulmonary disease: the DOSE Index. Am J Respir Crit Care Med 2009; 180: 1189-1195.
39. Ko FW, Tam W, Tung AH, et al. A longitudinal study of serial BODE indices in predicting mortality and readmissions for COPD. Respir Med 2011; 105: 266-273.
40. Lee SD, Huang MS, Kang J, et al. The COPD assessment test (CAT) assists prediction of COPD exacerbations in high-risk patients. Respir Med 2014; 108: 600-608.
41. Marin JM, Carrizo SJ, Casanova C, et al. Prediction of risk of COPD exacerbations by the BODE index. Respir Med 2009; 103: 373-378.
42. Moberg M, Vestbo J, Martinez G, et al. Validation of the i-BODE index as a predictor of hospitalization and mortality in patients with COPD Participating in pulmonary rehabilitation. COPD 2014; 11: 381-387.
43. Motegi T, Jones RC, Ishii T, et al. A comparison of three multidimensional indices of COPD severity as predictors of future exacerbations. Int J COPD 2013; 8: 259-271.
44. Moy ML, Teylan M, Danilack VA, et al. An index of daily step count and systemic inflammation predicts clinical outcomes in chronic obstructive pulmonary disease. Ann Am Thorac Soc 2014; 11: 149-157.
45. Müllerova H, Maselli DJ, Locantore N, et al. Hospitalized Exacerbations of COPD. Chest 2015; 147: 999-1007.
46. Ong KC, Earnest A, Lu SJ. A multidimensional grading system (BODE index) as predictor of hospitalization for COPD. Chest 2005; 128: 3810-3816.
47. Parshall MB, Mapel DW, Rice L, et al. Predictive validity of short-form health survey 36 items scales for chronic obstructive pulmonary disease exacerbation. Hear Lung J Acute Crit Care 2008; 37: 356-365.
48. Suetomo M, Kawayama T, Kinoshita T, et al. COPD assessment tests scores are associated with exacerbated chronic obstructive pulmonary disease in Japanese patients. Respir Investig 2014; 52: 288-295.
49. Takahashi T, Muro S, Tanabe N, et al. Relationship between periodontitis-related antibody and frequent exacerbations in chronic obstructive pulmonary disease. PLoS One 2012; 7: e40570.
50. Thomsen M, Ingebrigtsen TS, Marott JL, et al. Inflammatory biomarkers and exacerbations in chronic obstructive pulmonary disease. JAMA 2013; 309: 2353-2361.
51. Almagro P, Cabrera FJ, Diez J, et al. Comorbidities and short-term prognosis in patients hospitalized for acute exacerbation of COPD: the EPOC en Servicios de medicina interna (ESMI) study. Chest 2012; 142: 1126-1133.
52. Hurst JR, Donaldson GC, Quint JK, et al. Temporal clustering of exacerbations in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2009; 179: 369-374.
53. Vestbo J, Hurd SS, Agustí AG, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease GOLD executive summary. Am J Respir Crit Care Med 2013; 187: 347-365.
54. Steyerberg EW, Harrell FE, Borsboom GJ, et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol 2001; 54: 774-781.
55. Moons KG, Kengne AP, Woodward M, et al. Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker. Heart 2012; 98: 683-690.
56. Wilson PWF, D’Agostino RB, Levy D, et al. Prediction of coronary heart disease using risk factor categories. Circulation 1998; 97: 1837-1847.
57. Goldstein LB, Bushnell CD, Adams RJ, et al. Guidelines for the primary prevention of stroke: a Guideline for Healthcare Professionals from the American Heart Association/American Stroke Association. Stroke 2011; 42: 517-584.
58. Expert Panel on Detection, Evaluation and T of HBC in A. Executive summary of the third report of the national cholesterol education program Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 2001; 285: 2486-2497.
59. Puhan MA, Hansel NN, Sobradillo P, et al. Large-scale international validation of the ADO index in subjects with COPD: an individual subject data analysis of 10 cohorts. BMJ Open 2012; 2: e002152.
60. Moons KGM, Altman DG, Vergouwe Y, et al. Prognosis and prognostic research 4: application and impact of prognostic models in clinical practice. 2014; 338: 1487-1490.
61. Wyatt JC, Altman DG. Commentary: Prognostic models: clinically useful or quickly forgotten? BMJ 1995; 311: 1539-1541.
62. Toll DB, Janssen KJM, Vergouwe Y, et al. Validation, updating and impact of clinical prediction rules: a review. J Clin Epidemiol 2008; 61: 1085-1094.
63. Steyerberg EW, Borsboom GJJM, van Houwelingen HC, et al. Validation and updating of predictive logistic regression models: a study on sample size and shrinkage. Stat Med 2004; 23: 2567-2586.