How exactly can we predict the prognosis of COPD?;KOAH hastalarinin progresyonlarini ne ölçüde tahmin edebiliriz?

Tuberkuloz ve Toraks

Volumn 57, Issue 3, 2009, Pages 289-297

  Atiş, Sibel ^a   Kanik, Arzu ^a   Özgür, Eylem Sercan ^a   Eker, Suzan ^a   Tümkaya, Münir ^a   Özge, Cengiz ^a  

^a MERSIN UNIVERSITY SCHOOL OF MEDICINE   (Turkey)

Author keywords

Bayesian logistic regression analysis; COPD; Markov chain Monte Carlo method; Prognostic index; Statistical predictive model

Indexed keywords

ADULT; AGE DISTRIBUTION; ARTICLE; BAYES THEOREM; BODY MASS; CARBON DIOXIDE TENSION; CHRONIC OBSTRUCTIVE LUNG DISEASE; DISEASE COURSE; DISEASE EXACERBATION; DISEASE SEVERITY; FEMALE; FORCED EXPIRATORY VOLUME; HUMAN; HYPERINFLATION; HYPOXEMIA; LUNG FUNCTION; MAJOR CLINICAL STUDY; MALE; MEDICAL DECISION MAKING; PREDICTION; PROBABILITY; PROGNOSIS; PROSPECTIVE STUDY; RISK FACTOR; SCORING SYSTEM; SMOKING;

BAYES THEOREM; BODY MASS INDEX; DECISION MAKING; DISEASE PROGRESSION; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MARKOV CHAINS; MIDDLE AGED; MONTE CARLO METHOD; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROSPECTIVE STUDIES; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; RESPIRATORY FUNCTION TESTS; RISK ASSESSMENT; RISK FACTORS; SEVERITY OF ILLNESS INDEX; SMOKING;

EID: 70349780641     PISSN: 04941373     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (28)

1. Global Initiative for Chronic Obstructive Lung Disease. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: NHLBI/WHO (GOLD) Workshop report, NIH publication. US Department of Health and Human Service, 2003.
2. Tashkin DP. The role of patient-centered outcomes in the course of chronic obstructive pulmonary disease: How long-term studies contribute to our understanding. Am J Med 2006; 119: 63-72.
3. Mannino DM, Watt G, Hole D, et al. The natural history of chronic obstructive pulmonary disease. In: Rabe KF, Soriano JB (eds). Series The Global Burden of Chronic Obstructive Pulmonary Disease. Eur Respir J 2006; 27: 627-643
4. Jones PW, Agusti AGN. Outcomes and markers in the assessment of chronic obstructive pulmonary disease. Eur Respir J 2006; 27: 822-832 (Pubitemid 44914209)
5. Gross NJ. Chronic obstructive pulmonary disease outcome measurements: What's important? What's useful? Proc Am Thorac Soc 2005; 2: 267-271
6. Spiegelhalter DJ. Probabilistic prediction in patient management and clinical trials. Stat Med 1986; 5: 421-433
7. Gössl C, Küchenhoff H. Bayesian analysis of logistic regression with an unknown change point and covariate measurement error. Statist Med 2001; 20: 3109-3121
8. Goldberg ARJ, Akhras KS, Chen C, et al. Review of the development, validation, and application of predictive instruments in interventional cardiology. Heart Dis 1999; 1: 138-148
9. Marshall G, Shroyer AL, Grover FL, Hammermeister KE. Bayesian-logit model for risk assessment in coronary artery bypass grafting. Ann Thorac Surg 1994; 57: 1492-1499 (Pubitemid 24216315)
10. Hedman J, Poussa T, Nieminen MM. A rapid dosimetric methacholine challenge in asthma diagnostics: A clinical study of 230 patients with dyspnoea, wheezing or a cough of unknown cause. Respir Med 1998; 92: 32-39 (Pubitemid 28112039)
11. Borg S, Ericsson A, Wedzicha J, et al. A computer simulation model of the natural history and economic impact of chronic obstructive pulmonary disease. Value in Health 2004; 7: 153-167 (Pubitemid 38420728)
12. American Thoracic Society. Dyspnea, mechanisms, assesment, and management: A consensus statement. Am J Respir Crit Care Med 1999; 159: 321-340 (Pubitemid 29036542)
13. Rodriguez RR. Toward a consensus definition for COPD exacerbations. Chest 2000; 117: 398-410.
14. Quanjer PH, Tammeling GJ, Cotes JE, et al. Lung volumes and forced ventilatory flows. Report of the Working Party on Standardisation of Lung Function Tests, European Community for Steel and Coal. Official Statement of the European Respiratory Society. Eur Respir J 1993; 16: 5-40.
15. Cotes JE, Chinn DJ, Quanjer PH, et al. Standardisation of the measurement of transfer factor (diffusing capacity). Report of the Working Party on Standardisation of Lung Function Tests, European Community for Steel and Coal. Official Statement of the European Respiratory Society. Eur Respir J 1993; 16: 41-52.
16. 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 (Pubitemid 38269277)
17. Donaldson GC, Seemungal TA, Bhowmik A, Wedzicha JA. Relationship between exacerbation frequency and lung function decline in chronic obstructive pulmonary disease. Thorax 2002; 57: 847-852 (Pubitemid 35178607)
18. Seemungal TA, Donaldson GC, Bhowmik A, et al. Time course and recovery of exacerbations in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2000; 161: 1608-1613 (Pubitemid 30329036)
19. Rabe K. Outcome measures in COPD. Prim Care Respir J 2004; 13: 177-178
20. Ramsey SD, Hobbs FDR. Chronic obstructive pulmonary disease, risk factors, and outcome trials comparisons with cardiovascular disease. Proc Am Thorac Soc 2006; 3: 635-640 (Pubitemid 44411633)
21. Nishimura K, Izumi T, Tsukino M, Oga T. Dyspnea is a better predictor of 5-year survival than airway obstruction in patients with COPD. Chest 2002; 121: 1434-1440 (Pubitemid 34499652)
22. Anthonisen NR, Wright EC, Hodgkin JE. Prognosis in chronic obstructive pulmonary disease. Am Rev Respir Dis 1986; 133: 14-20. (Pubitemid 16189089)
23. Steinmetz J, Rasmussen LS, Nielsen SL. Long-term prognosis for patients with COPD treated in the prehospital setting: Is it influenced by hospital admission? Chest 2006; 130: 676-680
24. Yildiz OA, Onen ZP, Sen E, et al. Predictors of long-term survival in patients with chronic obstructive pulmonary disease. Saudi Med J 2006; 27: 1866-1872 (Pubitemid 351850257)
25. Gunen H, Hacievliyagil S, Kosar F, et al. Factors affecting survival of hospitalised patients with COPD. Eur Respir J 2005; 26: 234-241 (Pubitemid 41079066)
26. Çilli A, Uslu A, Öǧüş C, Özdemir T. KOAH'da komorbiditenin prognoza etkisi. Tuberk Toraks 2004; 52: 52-55
27. Chena Y, Stewartb P, Dalesc R, et al. In a retrospective study of chronic obstructive pulmonary disease inpatients, respiratory comorbidities were significantly associated with prognosis. J Clin Epidemiol 2005; 58: 1199-1205
28. Wang D, Zhang W, Bakhai A. Comparison of Bayesian model averaging and stepwise methods for model selection in logistic regression. Stat Med 2004; 23: 3451-3467 (Pubitemid 39467863)