Literature DB >> 18410819

Assessment of severity measures for acute asthma outcomes: a first step in developing an asthma clinical prediction rule.

Donald H Arnold1, Tebeb Gebretsadik, Patricia A Minton, Stanley Higgins, Tina V Hartert.   

Abstract

OBJECTIVE: As a first step in the development of an asthma prediction rule, our primary objective was to assess the association of 8 candidate predictor variables with 2 clinically relevant asthma outcomes.
METHODS: Among a cohort of 125 adults hospitalized with an asthma exacerbation, we examined models to identify clinical variables associated with length of stay (LOS) and clinically significant asthma exacerbations within 3 months after hospitalization (3-month exacerbation). Eight candidate predictor variables were chosen, including age, sex, race, pulsus paradoxus, prior endotracheal intubation for asthma, hospitalization within 5 years for asthma, and 2 chronic asthma severity scores.
RESULTS: We found independent associations between LOS and pulsus paradoxus (P = .005), prior intubation (P = .03), sex (P = .03), and prior hospitalization (P = .019). Among men, 52% had a 3-month exacerbation in comparison with 25% of women; and in multivariable analysis, male sex was independently associated with 3-month exacerbation (adjusted odds ratio = 5.1; 95% confidence interval = 1.37-18.9; P = .015). Participants with 3-month exacerbation had higher Johns Hopkins Allergy and Asthma Composite (JHAAC) chronic severity scores (median = 77; interquartile range = 57-91) than those who did not (median = 54; interquartile range = 35-69; P < .001) (for 40-unit increase, adjusted OR for 3-month exacerbation = 1.54; 95% confidence interval = 1.16-2.03; P = .003). In multivariable analysis, male sex and the JHAAC severity score were independently associated with 3-month exacerbation.
CONCLUSIONS: Elevated pulsus paradoxus, prior intubation for asthma, and 5-year asthma hospitalization are independently associated with LOS. Race, 5-year asthma hospitalization, and JHAAC score predict 3-month asthma exacerbation. These variables warrant consideration for use in the development of an asthma prediction rule.

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Mesh:

Year:  2008        PMID: 18410819      PMCID: PMC3760484          DOI: 10.1016/j.ajem.2007.05.026

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  19 in total

1.  Users' guides to the medical literature: XXII: how to use articles about clinical decision rules. Evidence-Based Medicine Working Group.

Authors:  T G McGinn; G H Guyatt; P C Wyer; C D Naylor; I G Stiell; W S Richardson
Journal:  JAMA       Date:  2000-07-05       Impact factor: 56.272

2.  Paradoxical physical findings described by Kussmaul: pulsus paradoxus and Kussmaul's sign.

Authors:  Kenneth C Bilchick; Robert A Wise
Journal:  Lancet       Date:  2002-06-01       Impact factor: 79.321

3.  Asthma prevalence and control characteristics by race/ethnicity--United States, 2002.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2004-02-27       Impact factor: 17.586

Review 4.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

5.  A longitudinal study of the prevalence of asthma in a community population of school-age children.

Authors:  Barbara P Yawn; Peter Wollan; Marge Kurland; Paul Scanlon
Journal:  J Pediatr       Date:  2002-05       Impact factor: 4.406

6.  The risk of hospitalization and near-fatal and fatal asthma in relation to the perception of dyspnea.

Authors:  Rasmi Magadle; Noa Berar-Yanay; Paltiel Weiner
Journal:  Chest       Date:  2002-02       Impact factor: 9.410

7.  Trends in childhood asthma: prevalence, health care utilization, and mortality.

Authors:  Lara J Akinbami; Kenneth C Schoendorf
Journal:  Pediatrics       Date:  2002-08       Impact factor: 7.124

Review 8.  Clinical prediction rules. Applications and methodological standards.

Authors:  J H Wasson; H C Sox; R K Neff; L Goldman
Journal:  N Engl J Med       Date:  1985-09-26       Impact factor: 91.245

Review 9.  Acute severe asthma.

Authors:  E R McFadden
Journal:  Am J Respir Crit Care Med       Date:  2003-10-01       Impact factor: 21.405

10.  Characteristics and outcome for admissions to adult, general critical care units with acute severe asthma: a secondary analysis of the ICNARC Case Mix Programme Database.

Authors:  Dheeraj Gupta; Brian Keogh; Kian Fan Chung; Jon G Ayres; David A Harrison; Caroline Goldfrad; Anthony R Brady; Kathy Rowan
Journal:  Crit Care       Date:  2004-03-03       Impact factor: 9.097

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  4 in total

Review 1.  The asthma prediction rule to decrease hospitalizations for children with asthma.

Authors:  Donald H Arnold; Marion R Sills; Colin G Walsh
Journal:  Curr Opin Allergy Clin Immunol       Date:  2016-06

2.  Critical pathways for post-emergency outpatient diagnosis and treatment: tools to improve the value of emergency care.

Authors:  Jeremiah D Schuur; Christopher W Baugh; Erik P Hess; Joshua A Hilton; Jesse M Pines; Brent R Asplin
Journal:  Acad Emerg Med       Date:  2011-06       Impact factor: 3.451

3.  Genome Wide Association Study to predict severe asthma exacerbations in children using random forests classifiers.

Authors:  Mousheng Xu; Kelan G Tantisira; Ann Wu; Augusto A Litonjua; Jen-hwa Chu; Blanca E Himes; Amy Damask; Scott T Weiss
Journal:  BMC Med Genet       Date:  2011-06-30       Impact factor: 2.103

4.  Asthma length of stay in hospitals in London 2001-2006: demographic, diagnostic and temporal factors.

Authors:  Ireneous N Soyiri; Daniel D Reidpath; Christophe Sarran
Journal:  PLoS One       Date:  2011-11-02       Impact factor: 3.240

  4 in total

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