Development of a prediction tool for patients presenting with acute cough in primary care: a prognostic study spanning six European countries
<p><strong>Background</strong> Accurate prediction of the course of an acute cough episode could curb antibiotic overprescribing, but is still a major challenge in primary care.</p> <p><strong>Aim</strong> The authors set out to develop a new prediction rule...
| Main Authors: | , , , , , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
Royal College of General Practitioners
2018
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| _version_ | 1826306493664722944 |
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| author | Bruyndonckx, R Hens, N Verheij, TJ Aerts, M Ieven, M Butler, CC Little, P Goossens, H Coenen, S |
| author_facet | Bruyndonckx, R Hens, N Verheij, TJ Aerts, M Ieven, M Butler, CC Little, P Goossens, H Coenen, S |
| author_sort | Bruyndonckx, R |
| collection | OXFORD |
| description | <p><strong>Background</strong> Accurate prediction of the course of an acute cough episode could curb antibiotic overprescribing, but is still a major challenge in primary care.</p> <p><strong>Aim</strong> 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.</p> <p><strong>Design and setting</strong> 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.</p> <p><strong>Method</strong> 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.</p> <p><strong>Results</strong> 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).</p> <p><strong>Conclusion</strong> 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.</p> |
| first_indexed | 2024-03-07T06:48:47Z |
| format | Journal article |
| id | oxford-uuid:fbc85bdf-e8e1-4a09-9a9c-a54ec060651f |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:48:47Z |
| publishDate | 2018 |
| publisher | Royal College of General Practitioners |
| record_format | dspace |
| spelling | oxford-uuid:fbc85bdf-e8e1-4a09-9a9c-a54ec060651f2022-03-27T13:16:21ZDevelopment of a prediction tool for patients presenting with acute cough in primary care: a prognostic study spanning six European countriesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:fbc85bdf-e8e1-4a09-9a9c-a54ec060651fEnglishSymplectic Elements at OxfordRoyal College of General Practitioners2018Bruyndonckx, RHens, NVerheij, TJAerts, MIeven, MButler, CCLittle, PGoossens, HCoenen, S<p><strong>Background</strong> Accurate prediction of the course of an acute cough episode could curb antibiotic overprescribing, but is still a major challenge in primary care.</p> <p><strong>Aim</strong> 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.</p> <p><strong>Design and setting</strong> 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.</p> <p><strong>Method</strong> 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.</p> <p><strong>Results</strong> 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).</p> <p><strong>Conclusion</strong> 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.</p> |
| spellingShingle | Bruyndonckx, R Hens, N Verheij, TJ Aerts, M Ieven, M Butler, CC Little, P Goossens, H Coenen, S Development of a prediction tool for patients presenting with acute cough in primary care: a prognostic study spanning six European countries |
| title | Development of a prediction tool for patients presenting with acute cough in primary care: a prognostic study spanning six European countries |
| title_full | Development of a prediction tool for patients presenting with acute cough in primary care: a prognostic study spanning six European countries |
| title_fullStr | Development of a prediction tool for patients presenting with acute cough in primary care: a prognostic study spanning six European countries |
| title_full_unstemmed | Development of a prediction tool for patients presenting with acute cough in primary care: a prognostic study spanning six European countries |
| title_short | Development of a prediction tool for patients presenting with acute cough in primary care: a prognostic study spanning six European countries |
| title_sort | development of a prediction tool for patients presenting with acute cough in primary care a prognostic study spanning six european countries |
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