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Title: | Development of a prediction tool for patients presenting with acute cough in primary care: a prognostic study spanning six European countries | Authors: | BRUYNDONCKX, Robin HENS, Niel Verheij, Theo J. M. AERTS, Marc Ieven, Margareta Butler, Christopher C. Little, Paul Goossens, Herman Coenen, Samuel |
Issue Date: | 2018 | Publisher: | ROYAL COLL GENERAL PRACTITIONERS | Source: | BRITISH JOURNAL OF GENERAL PRACTICE, 68(670), p. E342-E350 | Abstract: | Background Accurate prediction of the course of an acute cough episode could curb antibiotic overprescribing, but is still a major challenge in primary care. Aim The authors set out to develop a new prediction rule for poor outcome (re-consultation with new or worsened symptoms, or hospital admission) in adults presenting to primary care with acute cough. Design and setting Data were collected from 2604 adults presenting to primary care with acute cough or symptoms suggestive of lower respiratory tract infection (LRTI) within the Genomics to combat Resistance against Antibiotics in Community-acquired LRTI in Europe (GRACE; www.grace-lrti.org) Network of Excellence. Method Important signs and symptoms for the new prediction rule were found by combining random forest and logistic regression modelling. Performance to predict poor outcome in acute cough patients was compared with that of existing prediction rules, using the models' area under the receiver operator characteristic curve (AUC), and any improvement obtained by including additional test results (C-reactive protein [CRP], blood urea nitrogen [BUN], chest radiography, or aetiology) was evaluated using the same methodology. Results The new prediction rule, included the baseline Risk of poor outcome, Interference with daily activities, number of years stopped Smoking (> or < 45 years), severity of Sputum, presence of Crackles, and diastolic blood pressure (> or < 85 mmHg) (RISSC85). Though performance of RISSC85 was moderate (sensitivity 62%, specificity 59%, positive predictive value 27%, negative predictive value 86%, AUC 0.63, 95% confidence interval [CI] = 0.61 to 0.67), it outperformed all existing prediction rules used today (highest AUC 0.53, 95% CI = 0.51 to 0.56), and could not be significantly improved by including additional test results (highest AUC 0.64, 95% CI = 0.62 to 0.68). Conclusion The new prediction rule outperforms all existing alternatives in predicting poor outcome in adult patients presenting to primary care with acute cough and could not be improved by including additional test results. | Notes: | [Bruyndonckx, Robin] Hasselt Univ, Hasselt, Belgium. [Hens, Niel; Aerts, Marc] Hasselt Univ, Biostat, Hasselt, Belgium. [Bruyndonckx, Robin; Hens, Niel] Univ Antwerp, Antwerp, Belgium. [Ieven, Margareta; Goossens, Herman] Univ Antwerp, Ctr Gen Practice, Med Microbiol, Antwerp, Belgium. [Coenen, Samuel] Univ Antwerp, Ctr Gen Practice, Antwerp, Belgium. [Verheij, Theo J. M.] Univ Med Ctr Utrecht, Gen Practice, Utrecht, Netherlands. [Butler, Christopher C.] Cardiff Univ, Primary Care, Cardiff, S Glam, Wales. [Little, Paul] Univ Southampton, Primary Care Res, Southampton, Hants, England. | Keywords: | acute cough; clinical prediction rule; primary care; prognosis;acute cough; clinical prediction rule; primary care; prognosis | Document URI: | http://hdl.handle.net/1942/26602 | ISSN: | 0960-1643 | e-ISSN: | 1478-5242 | DOI: | 10.3399/bjgp18X695789 | ISI #: | 000430972900005 | Rights: | © British Journal of General Practice 2018 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2019 |
Appears in Collections: | Research publications |
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