Identifying Risk of Future Asthma Attacks Using UK Medical Record Data: A Respiratory Effectiveness Group Initiative

Journal of Allergy and Clinical Immunology: In Practice

Volumn 5, Issue 4, 2017, Pages 1015-1024.e8

  Blakey, John D ^a   Price, David B ^b,c   Pizzichini, Emilio ^d   Popov, Todor A ^e   Dimitrov, Borislav D ^f,g   Postma, Dirkje S ^h   Josephs, Lynn K ^f   Kaplan, Alan ⁱ   Papi, Alberto ^j   Kerkhof, Marjan ^c   Hillyer, Elizabeth V ^c   Chisholm, Alison ^k   Thomas, Mike ^f,g  

^a ROYAL LIVERPOOL UNIVERSITY HOSPITAL   (United Kingdom)

^b UNIVERSITY OF ABERDEEN   (United Kingdom)

^c OBSERVATIONAL AND PRAGMATIC RESEARCH INSTITUTE   (Singapore)

^d FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

^e MEDICAL UNIVERSITY OF SOFIA   (Bulgaria)

^f UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^g University Hospital Southampton NHS Foundation Trust   (United Kingdom)

^h UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

ⁱ UNIVERSITY OF TORONTO   (Canada)

^j UNIVERSITY OF FERRARA   (Italy)

^k Respiratory Effectiveness Group   (United Kingdom)

more..

Author keywords

Asthma; Attack; Control; Medical record; Observational; Risk factor

Indexed keywords

BETA 2 ADRENERGIC RECEPTOR STIMULATING AGENT; CORTICOSTEROID; ADRENERGIC RECEPTOR STIMULATING AGENT;

ACCURACY; ADULT; AGE DISTRIBUTION; AGED; AREA UNDER THE CURVE; ARTICLE; ASTHMA; CALIBRATION; CHILD; DRUG MEGADOSE; DRUG USE; ECZEMA; ELECTRONIC MEDICAL RECORD; EOSINOPHILIA; FEMALE; GASTROESOPHAGEAL REFLUX; GENDER; HEALTH CARE UTILIZATION; HUMAN; LUNG FUNCTION; MAJOR CLINICAL STUDY; MALE; NOSE POLYP; OBESITY; PREDICTIVE VALUE; RECURRENT DISEASE; RHINITIS; RISK ASSESSMENT; RISK FACTOR; SCHOOL CHILD; SMOKING; UNITED KINGDOM; VALIDITY; VERY ELDERLY; ADOLESCENT; BIOLOGICAL MODEL; FACTUAL DATABASE; FOLLOW UP; HOSPITAL EMERGENCY SERVICE; MEDICAL RECORD; MIDDLE AGED; YOUNG ADULT;

ADOLESCENT; ADRENAL CORTEX HORMONES; ADRENERGIC AGONISTS; ADULT; AGED; AGED, 80 AND OVER; ASTHMA; CHILD; DATABASES, FACTUAL; EMERGENCY SERVICE, HOSPITAL; FEMALE; FOLLOW-UP STUDIES; HUMANS; MALE; MEDICAL RECORDS; MIDDLE AGED; MODELS, BIOLOGICAL; RECURRENCE; RISK FACTORS; UNITED KINGDOM; YOUNG ADULT;

EID: 85010748444     PISSN: 22132198     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jaip.2016.11.007     Document Type: Article

References (52)

1. Haldar, P., Pavord, I.D., Shaw, D.E., Berry, M.A., Thomas, M., Brightling, C.E., et al. Cluster analysis and clinical asthma phenotypes. Am J Respir Crit Care Med 178 (2008), 218–224.
2. Bousquet, J., Mantzouranis, E., Cruz, A.A., Ait-Khaled, N., Baena-Cagnani, C.E., Bleecker, E.R., et al. Uniform definition of asthma severity, control, and exacerbations: document presented for the World Health Organization Consultation on Severe Asthma. J Allergy Clin Immunol 126 (2010), 926–938.
3. Anderson, H.R., Gupta, R., Strachan, D.P., Limb, E.S., 50 years of asthma: UK trends from 1955 to 2004. Thorax 62 (2007), 85–90.
4. Bai, T.R., Vonk, J.M., Postma, D.S., Boezen, H.M., Severe exacerbations predict excess lung function decline in asthma. Eur Respir J 30 (2007), 452–456.
5. Thomas, M., Bruton, A., Moffat, M., Cleland, J., Asthma and psychological dysfunction. Prim Care Respir J 20 (2011), 250–256.
6. Bahadori, K., Doyle-Waters, M.M., Marra, C., Lynd, L., Alasaly, K., Swiston, J., et al. Economic burden of asthma: a systematic review. BMC Pulm Med, 9, 2009, 24.
7. Schmidt, M., Jacobsen, J.B., Lash, T.L., Botker, H.E., Sorensen, H.T., 25 year trends in first time hospitalisation for acute myocardial infarction, subsequent short and long term mortality, and the prognostic impact of sex and comorbidity: a Danish nationwide cohort study. BMJ, 344, 2012, e356.
8. Romagnoli, M., Caramori, G., Braccioni, F., Ravenna, F., Barreiro, E., Siafakas, N.M., et al. Near-fatal asthma phenotype in the ENFUMOSA cohort. Clin Exp Allergy 37 (2007), 552–557.
9. Miller, M.K., Lee, J.H., Blanc, P.D., Pasta, D.J., Gujrathi, S., Barron, H., et al. TENOR risk score predicts healthcare in adults with severe or difficult-to-treat asthma. Eur Respir J 28 (2006), 1145–1155.
10. Wang, F., He, X.Y., Baines, K.J., Gunawardhana, L.P., Simpson, J.L., Li, F., et al. Different inflammatory phenotypes in adults and children with acute asthma. Eur Respir J 38 (2011), 567–574.
11. Pavord, I.D., Korn, S., Howarth, P., Bleecker, E.R., Buhl, R., Keene, O.N., et al. Mepolizumab for severe eosinophilic asthma (DREAM): a multicentre, double-blind, placebo-controlled trial. Lancet 380 (2012), 651–659.
12. Krones, T., Keller, H., Sonnichsen, A., Sadowski, E.M., Baum, E., Wegscheider, K., et al. Absolute cardiovascular disease risk and shared decision making in primary care: a randomized controlled trial. Ann Fam Med 6 (2008), 218–227.
13. Global Initiative for Asthma. GINA report, Global Strategy for Asthma Management and Prevention. 2015. Available from: http://www.ginasthma.org/. Accessed May 4, 2016.
14. British Thoracic Society, Scottish Intercollegiate Guidelines Network. British guideline on the management of asthma: a national clinical guideline (SIGN 141). October 2014. Available from: http://www.sign.ac.uk/guidelines/fulltext/141/. Accessed May 4, 2016.
15. Blakey, J.D., Woulnough, K., James, A.C., Fellows, J., Obeidat, M., Navaratnam, V., et al. A systematic review of factors associated with future asthma attacks to inform a risk assessment questionnaire. Thorax 67 (2012), A31–A32.
16. The Triple A Test: Avoid Asthma Attacks (Asthma UK Risk Test). Asthma UK. Available from: https://www.asthma.org.uk/advice/manage-your-asthma/risk-test/. Accessed February 8, 2016.
17. Smith, J.R., Noble, M.J., Musgrave, S., Murdoch, J., Price, G.M., Barton, G.R., et al. The At-Risk Registers in Severe Asthma (ARRISA) study: a cluster-randomised controlled trial examining effectiveness and costs in primary care. Thorax 67 (2012), 1052–1060.
18. Bateman, E.D., Buhl, R., O'Byrne, P.M., Humbert, M., Reddel, H.K., Sears, M.R., et al. Development and validation of a novel risk score for asthma exacerbations: the risk score for exacerbations. J Allergy Clin Immunol 135 (2015), 1457–1464.e4.
19. Travers, J., Marsh, S., Williams, M., Weatherall, M., Caldwell, B., Shirtcliffe, P., et al. External validity of randomised controlled trials in asthma: to whom do the results of the trials apply?. Thorax 62 (2007), 219–223.
20. Optimum Patient Care Research Database (OPCRD). Available from: http://www.optimumpatientcare.org/Html_Docs/OPCRD.html. Accessed June 4, 2016.
21. Respiratory Effectiveness Group (REG). Available from: http://www.effectivenessevaluation.org/. Accessed June 4, 2016.
22. NHS Employers. Quality and Outcomes Framework. Available from: http://www.nhsemployers.org/your-workforce/primary-care-contacts/general-medical-services/quality-and-outcomes-framework. Accessed June 4, 2016.
23. Charlson, M.E., Pompei, P., Ales, K.L., MacKenzie, C.R., A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40 (1987), 373–383.
24. Understanding HSMRs: a toolkit on hospital standardised mortality ratios, version 9. Available from: http://www.drfoster.com/dr-foster-learning-labs-modules/. Accessed June 4, 2016.
25. Reddel, H.K., Taylor, D.R., Bateman, E.D., Boulet, L.P., Boushey, H.A., Busse, W.W., et al. An official American Thoracic Society/European Respiratory Society statement: asthma control and exacerbations: standardizing endpoints for clinical asthma trials and clinical practice. Am J Respir Crit Care Med 180 (2009), 59–99.
26. O'Connor, R.D., Bleecker, E.R., Long, A., Tashkin, D., Peters, S., Klingman, D., et al. Subacute lack of asthma control and acute asthma exacerbation history as predictors of subsequent acute asthma exacerbations: evidence from managed care data. J Asthma 47 (2010), 422–428.
27. Osborne, M.L., Pedula, K.L., O'Hollaren, M., Ettinger, K.M., Stibolt, T., Buist, A.S., et al. Assessing future need for acute care in adult asthmatics: the Profile of Asthma Risk Study: a prospective health maintenance organization-based study. Chest 132 (2007), 1151–1161.
28. Joint British Societies (JBS) for the prevention of cardiovascular disease. JBS3 cardiovascular risk assessment calculator. Available from: http://www.jbs3risk.com/JBS3Risk.swf. Accessed June 4, 2016.
29. Royal College of Physicians. Why asthma still kills: the National Review of Asthma Deaths (NRAD) Confidential Enquiry Report. May 2014. Available from: https://www.rcplondon.ac.uk/sites/default/files/why-asthma-still-kills-full-report.pdf. Accessed June 4, 2016.
30. Blakey, J.D., Zaidi, S., Shaw, D.E., Defining and managing risk in asthma. Clin Exp Allergy 44 (2014), 1023–1032.
31. Melen, E., Himes, B.E., Brehm, J.M., Boutaoui, N., Klanderman, B.J., Sylvia, J.S., et al. Analyses of shared genetic factors between asthma and obesity in children. J Allergy Clin Immunol 126 (2010), 631–637.e1-8.
32. Sideleva, O., Suratt, B.T., Black, K.E., Tharp, W.G., Pratley, R.E., Forgione, P., et al. Obesity and asthma: an inflammatory disease of adipose tissue not the airway. Am J Respir Crit Care Med 186 (2012), 598–605.
33. Pattnaik, B., Bodas, M., Bhatraju, N.K., Ahmad, T., Pant, R., Guleria, R., et al. IL-4 promotes asymmetric dimethylarginine accumulation, oxo-nitrative stress, and hypoxic response-induced mitochondrial loss in airway epithelial cells. J Allergy Clin Immunol 138 (2016), 130–141.e9.
34. Price, D.B., Rigazio, A., Campbell, J.D., Bleecker, E.R., Corrigan, C.J., Thomas, M., et al. Blood eosinophil count and prospective annual asthma disease burden: a UK cohort study. Lancet Respir Med 3 (2015), 849–858.
35. Price, D., Wilson, A.M., Chisholm, A., Rigazio, A., Burden, A., Thomas, M., et al. Predicting frequent asthma exacerbations using blood eosinophil count and other patient data routinely available in clinical practice. J Asthma Allergy 9 (2016), 1–12.
36. Chong, J., Haran, C., Chauhan, B.F., Asher, I., Intermittent inhaled corticosteroid therapy versus placebo for persistent asthma in children and adults. Cochrane Database Syst Rev, 7, 2015, CD011032.
37. Engelkes, M., Janssens, H.M., de Jongste, J.C., Sturkenboom, M.C., Verhamme, K.M., Medication adherence and the risk of severe asthma exacerbations: a systematic review. Eur Respir J 45 (2015), 396–407.
38. Williams, L.K., Peterson, E.L., Wells, K., Ahmedani, B.K., Kumar, R., Burchard, E.G., et al. Quantifying the proportion of severe asthma exacerbations attributable to inhaled corticosteroid nonadherence. J Allergy Clin Immunol 128 (2011), 1185–1191.e2.
39. Shaw, D., Green, R., Berry, M., Mellor, S., Hargadon, B., Shelley, M., et al. A cross-sectional study of patterns of airway dysfunction, symptoms and morbidity in primary care asthma. Prim Care Respir J 21 (2012), 283–287.
40. Taggar, J.S., Coleman, T., Lewis, S., Szatkowski, L., The impact of the Quality and Outcomes Framework (QOF) on the recording of smoking targets in primary care medical records: cross-sectional analyses from The Health Improvement Network (THIN) database. BMC Public Health, 12, 2012, 329.
41. Quint, J.K., Mullerova, H., DiSantostefano, R.L., Forbes, H., Eaton, S., Hurst, J.R., et al. Validation of chronic obstructive pulmonary disease recording in the Clinical Practice Research Datalink (CPRD-GOLD). BMJ Open, 4, 2014, e005540.
42. Walley, T., Mantgani, A., The UK General Practice Research Database. Lancet 350 (1997), 1097–1099.
43. Tannen, R.L., Weiner, M.G., Xie, D., Use of primary care electronic medical record database in drug efficacy research on cardiovascular outcomes: comparison of database and randomised controlled trial findings. BMJ, 338, 2009, b81.
44. Roche, N., Reddel, H., Martin, R., Brusselle, G., Papi, A., Thomas, M., et al. Quality standards for real-world research: focus on observational database studies of comparative effectiveness. Ann Am Thorac Soc 11 (2014), S99–S104.
45. von Elm, E., Altman, D.G., Egger, M., Pocock, S.J., Gotzsche, P.C., Vandenbroucke, J.P., The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet 370 (2007), 1453–1457.
46. Electronic Register of Studies, European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (ENCePP). Available from: http://www.encepp.eu/encepp/studiesDatabase.jsp. Accessed June 4, 2016.
47. Charlson, M.E., Pompei, P., Ales, K.L., MacKenzie, C.R., A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40 (1987), 373–383.
48. Understanding HSMRs: a toolkit on hospital standardised mortality ratios, version 9. Available from: http://www.drfoster.com/dr-foster-learning-labs-modules/. Accessed June 1, 2016.
49. British Thoracic Society, Scottish Intercollegiate Guidelines Network. British guideline on the management of asthma: a national clinical guideline (SIGN 141). October 2014. Available from: http://www.sign.ac.uk/guidelines/fulltext/141/. Accessed June 1, 2016.
50. Thomas, M., Gruffydd-Jones, K., Stonham, C., Ward, S., Macfarlane, T.V., Assessing asthma control in routine clinical practice: use of the Royal College of Physicians ‘3 questions’. Prim Care Respir J 18 (2009), 83–88.
51. Pinnock, H., Burton, C., Campbell, S., Gruffydd-Jones, K., Hannon, K., Hoskins, G., et al. Clinical implications of the Royal College of Physicians three questions in routine asthma care: a real-life validation study. Prim Care Respir J 21 (2012), 288–294.
52. GINA report, Global Strategy for Asthma Management and Prevention. Global Initiative for Asthma. Available from: http://www.ginasthma.org/. Accessed May 4, 2016.