The Acute Asthma Severity Assessment Protocol (AASAP) study: Objectives and methods of a study to develop an acute asthma clinical prediction rule

Emergency Medicine Journal

Volumn 29, Issue 6, 2012, Pages 444-450

  Arnold, Donald H ^a   Gebretsadik, Tebeb ^a   Abramo, Thomas J ^a   Sheller, James R ^a   Resha, Donald J ^a   Hartert, Tina V ^a  

^a VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE ASTHMA PREDICTION RULE; ACUTE DISEASE; ADOLESCENT; ARTICLE; ASTHMA; CHILD; CLINICAL DECISION MAKING; DISEASE EXACERBATION; EMERGENCY WARD; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; PREDICTION; PREDICTION AND FORECASTING; PRESCHOOL CHILD; PRIORITY JOURNAL; SAMPLE SIZE; SCHOOL CHILD; STATISTICAL MODEL;

ACUTE DISEASE; ADOLESCENT; ASTHMA; CHILD; CHILD, PRESCHOOL; CLINICAL PROTOCOLS; EMERGENCY SERVICE, HOSPITAL; FEMALE; HUMANS; MALE; MODELS, THEORETICAL; MULTIVARIATE ANALYSIS; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; RESPIRATORY FUNCTION TESTS; SEVERITY OF ILLNESS INDEX;

EID: 84861792541     PISSN: 14720205     EISSN: 14720213     Source Type: Journal    
DOI: 10.1136/emj.2010.110957     Document Type: Article

References (63)

1. American Lung Association. Trends in Asthma Morbidity And Mortality. New York: American Lung Association, 2006. http://www.lungusa.org (accessed 18 Jan 2007).
2. Mannino DM, Homa DM, Akinbami LJ, et al. Surveillance for asthma - United States, 1980-1999. MMWR Surveill Summ 2002;51:1-13.
3. Centers for Disease Control and Prevention (CDC). Asthma prevalence and control characteristics by race/ethnicity - United States, 2002. MMWR Morb Mortal Wkly Rep 2004;53:145-8.
4. McFadden ER Jr. Acute severe asthma. Am J Respir Crit Care Med 2003;168:740-59.
5. Weiss KB, Sullivan SD, Lyttle CS. Trends in the cost of illness for asthma in the United States, 1985-1994. J Allergy Clin Immunol 2000;106:493-9. (Pubitemid 32037702)
6. AHRQ Medical Expenditure Panel Survey. The five most costly children's conditions, 2006: Estimates for the U.S. civilian noninstitutionalized children, ages 0-17. 2009. Statistical Brief #242. http://www.meps.ahrq.gov/mepsweb/ data-files/publications/st242/stat242.pdf.
7. US Department of Health and Human Services. Healthy People 2020. US Department of Health and Human Services, 2010; Respiratory Diseases, Goal 36. http://healthypeople.gov/2020/topicsobjectives2020/overview.aspx?topicid=36 (accessed 28 Apr 2011).
8. Lemanske RF Jr, Busse WW. Asthma: clinical expression and molecular mechanisms. J Allergy Clin Immunol 2010;125(2 Suppl 2):S95-102.
9. Geelhoed GC, Landau LI, Le Souef PN. Evaluation of SaO2 as a predictor of outcome in 280 children presenting with acute asthma. Ann Emerg Med 1994;23:1236-41. (Pubitemid 24161803)
10. Croskerry P. The importance of cognitive errors in diagnosis and strategies to minimize them. Acad Med 2003;78:775-80. (Pubitemid 36993075)
11. Croskerry P. Cognitive forcing strategies in clinical decisionmaking. Ann Emerg Med 2003;41:110-20. (Pubitemid 36070846)
12. Croskerry P. Achieving quality in clinical decision making: cognitive strategies and detection of bias. Acad Emerg Med 2002;9:1184-204. (Pubitemid 35291548)
13. Croskerry P, Sinclair D. Emergency medicine: a practice prone to error? CJEM 2001;3:271-6. (Pubitemid 33815584)
14. Schenkel S. Promoting patient safety and preventing medical error in emergency departments. Acad Emerg Med 2000;7:1204-22.
15. Laupacis A, Sekar N, Stiell IG. Clinical prediction rules. A review and suggested modifications of methodological standards. JAMA 1997;277:488-94. (Pubitemid 27074334)
16. Stiell IG. The development of clinical decision rules for injury care. In: Rivara FP, ed. Injury Control: Research and Program Evaluation. Cambridge, UK: Cambridge University Press, 2001:217-35.
17. Wasson JH, Sox HC, Neff RK, et al. Clinical prediction rules. Applications and methodological standards. N Engl J Med 1985;313:793-9. (Pubitemid 15232315)
18. Feinstein AR. Clinimetrics. New Haven, CT: Yale University Press, 1987.
19. McGinn TG, Guyatt GH, Wyer PC, et al. Users' guides to the medical literature: XXII: how to use articles about clinical decision rules. Evidence-Based Medicine Working Group. JAMA 2000;284:79-84. (Pubitemid 30445665)
20. Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361-87. (Pubitemid 26072233)
21. Steyerberg EW, Eijkemans MJ, Harrell FE Jr, et al. Prognostic modeling with logistic regression analysis: in search of a sensible strategy in small data sets. Med Decis Making 2001;21:45-56. (Pubitemid 32245030)
22. Harrell FE Jr, Shih YC. Using full probability models to compute probabilities of actual interest to decision makers. Int J Technol Assess Health Care 2001;17:17-26.
23. Harrell FE. Regression Modeling Strategies. New York: Springer, 2001.
24. Harrell FE Jr, Lee KL, Pollock BG. Regression models in clinical studies: determining relationships between predictors and response. J Natl Cancer Inst 1988;80:1198-202.
25. Harrell FE Jr, Lee KL, Matchar DB, et al. Regression models for prognostic prediction: advantages, problems, and suggested solutions. Cancer Treat Rep 1985;69:1071-7. (Pubitemid 15249118)
26. Moons KGM. Diagnostic Research, Theory and Application. Rotterdam: Erasmus Universiteit Rotterdam, 1996.
27. Stiell IG, Wells GA. Methodologic standards for the development of clinical decision rules in emergency medicine. Ann Emerg Med 1999;33:437-47. (Pubitemid 29157570)
28. Steyerberg EW, Eijkemans MJ, Harrell FE Jr, et al. Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets. Stat Med 2000;19:1059-79. (Pubitemid 30238915)
29. Sanders DL, Gregg W, Aronsky D. Identifying asthma exacerbations in a pediatric emergency department: a feasibility study. Int J Med Inform 2007;76:557-64. (Pubitemid 46702804)
30. Schuh S, Johnson D, Stephens D, et al. Hospitalization patterns in severe acute asthma in children. Pediatr Pulmonol 1997;23:184-92. (Pubitemid 27143601)
31. Scarfone RJ, Fuchs SM, Nager AL, et al. Controlled trial of oral prednisone in the emergency department treatment of children with acute asthma. Pediatrics 1993;92:513-18. (Pubitemid 23286878)
32. Keogh KA, Macarthur C, Parkin PC, et al. Predictors of hospitalization in children with acute asthma. J Pediatr 2001;139:273-7. (Pubitemid 32721717)
33. Lin RY, Pesola GR, Bakalchuk L, et al. Rapid improvement of peak flow in asthmatic patients treated with parenteral methylprednisolone in the emergency department: a randomized controlled study. Ann Emerg Med 1999;33:487-94.
34. Global Initiative for Asthma (GINA). GINA Report, Global Strategy for Asthma Management and Prevention. http://www.ginasthma.org (accessed 28 Apr 2011).
35. Chalut DS, Ducharme FM, Davis GM. The Preschool Respiratory Assessment Measure (PRAM): a responsive index of acute asthma severity. J Pediatr 2000;137:762-8.
36. Ducharme FM, Chalut D, Plotnick L, et al. The Pediatric Respiratory Assessment Measure: a valid clinical score for assessing acute asthma severity from toddlers to teenagers. J Pediatr 2008;152:476-80, 480.e1.
37. Masimo Corporation. Masimo Technical Bulletin 3: Pleth Variability Index (PVI). Masimo Corporation 9 A.D. August 10: 1-3. http://www.masimo.com/pdf/ whitepaper/LAB4583A.pdf.
38. Hadjikoumi I, Hassan A, Milner AD. Effects of respiratory timing and cheek support on resistance measurements, before and after bronchodilation in asthmatic children using the interrupter technique. Pediatr Pulmonol 2003;36:495-501. (Pubitemid 37523388)
39. McKenzie SA, Chan E, Dundas I, et al. Airway resistance measured by the interrupter technique: normative data for 2-10 year olds of three ethnicities. Arch Dis Child 2002;87(3):248-51. (Pubitemid 34969988)
40. American Thoracic Society; European Respiratory Society. ATS/ERS recommendations for standardized procedures for the online and offline measurement of exhaled lower respiratory nitric oxide and nasal nitric oxide, 2005. Am J Respir Crit Care Med 2005;171:912-30.
41. Koopman M, Arets HG, Uiterwaal CS, et al. Comparing 6 and 10 sec exhalation time in exhaled nitric oxide measurements in children. Pediatr Pulmonol 2009;44:340-4.
42. McGill C, Malik G, Turner SW. Validation of a hand-held exhaled nitric oxide analyzer for use in children. Pediatr Pulmonol 2006;41:1053-7. (Pubitemid 44752807)
43. Black J, Baxter-Jones AD, Gordon J, et al. Assessment of airway function in young children with asthma: comparison of spirometry, interrupter technique, and tidal flow by inductance plethsmography. Pediatr Pulmonol 2004;37:548-53. (Pubitemid 38680122)
44. Anon. Standardization of Spirometry, 1994 Update. American Thoracic Society. Am J Respir Crit Care Med 1995;152:1107-36.
45. Knudson RJ, Slatin RC, Lebowitz MD, et al. The maximal expiratory flow-volume curve. Normal standards, variability, and effects of age. Am Rev Respir Dis 1976;113:587-600.
46. Sherrill DL, Lebowitz MD, Knudson RJ, et al. Methodology for generating continuous prediction equations for pulmonary function measures. Comput Biomed Res 1991;24:249-60.
47. Pennock BE, Rogers RM, McCaffree DR. Changes in measured spirometric indices. What is significant? Chest 1981;80:97-9. (Pubitemid 11002843)
48. National Heart LaBINAEaPP. Expert Panel Report 3: Guidelines for the Diagnosis and Management of Asthma. NIH, 2007. http://www.nhlbi.nih.gov/ guidelines/ asthma/01-front.pdf.
49. Dexheimer JW, Arnold DH, Abramo TJ, et al. Development of an asthma management system in a pediatric emergency department. AMIA Annu Symp Proc 2009;2009:142-6.
50. Harrell FE Jr, Lee KL, Califf RM, et al. Regression modelling strategies for improved prognostic prediction. Stat Med 1984;3:143-52. (Pubitemid 14052973)
51. Turner MO, Noertjojo K, Vedal S, et al. Risk factors for near-fatal asthma. A case-control study in hospitalized patients with asthma. Am J Respir Crit Care Med 1998;157:1804-9.
52. Getahun D, Demissie K, Rhoads GG. Recent trends in asthma hospitalization and mortality in the United States. J Asthma 2005;42:373-8. (Pubitemid 41105708)
53. Merenstein D, Egleston B, Diener-West M. Lengths of stay and costs associated with children's hospitals. Pediatrics 2005;115:839-44.
54. Huang ZJ, LaFleur BJ, Chamberlain JM, et al. Inpatient childhood asthma treatment: relationship of hospital characteristics to length of stay and cost: analyses of New York State discharge data, 1995. Arch Pediatr Adolesc Med 2002;156:67-72. (Pubitemid 34049113)
55. Samuels BN, Novack AH, Martin DP, et al. Comparison of length of stay for asthma by hospital type. Pediatrics 1998;101:E13.
56. National Institutes of Health. NIH Policy on Reporting Race and Ethnicity Data: Subjects in Clinical Research. NIH web site. 2001. http://grants.nih.gov/ grants/guide/ notice-files/NOT-OD-01-053.html (accessed 8 Mar 2008).
57. Katz MH. Multivariable Analysis. 2nd edn. Cambridge, UK: Cambridge University Press, 2006.
58. Justice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information. Ann Intern Med 1999;130:515-24. (Pubitemid 29135805)
59. Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap) - a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009;42:377-81.
60. Donders AR, van der Heijden GJ, Stijnen T, et al. Review: a gentle introduction to imputation of missing values. J Clin Epidemiol 2006;59:1087-91. (Pubitemid 44374314)
61. van der Heijden GJ, Donders AR, Stijnen T, et al. Imputation of missing values is superior to complete case analysis and the missing-indicator method in multivariable diagnostic research: a clinical example. J Clin Epidemiol 2006;59:1102-9.
62. Bossuyt PM, Reitsma JB, Bruns DE, et al. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Standards for Reporting of Diagnostic Accuracy. Clin Chem 2003;49:1-6. (Pubitemid 36078546)
63. Bossuyt PM, Reitsma JB, Bruns DE, et al. Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Fam Pract 2004;21:4-10. (Pubitemid 38240331)