BACKGROUND: Paediatricians rely on cough descriptors to direct them to the level of investigations needed for a child presenting with chronic cough, yet there is a lack of published data to support this approach. A study was undertaken to evaluate (1) whether historical cough pointers can predict which children have a specific cause for their cough and (2) the usefulness of chest radiography and spirometry as standard investigations in children with chronic cough. METHODS: This was a prospective cohort study of children referred to a tertiary hospital with a cough lasting >3 weeks between June 2002 and July 2004. All included children completed a detailed history and examination using a standardised data collection sheet and followed a pathway of investigation until a diagnosis was made. RESULTS: In 100 consecutively recruited children of median age 2.8 years, the best predictor of specific cough observed was a moist cough at the time of consultation with an odds ratio (OR) of 9.34 (95% CI 3.49 to 25.03). Chest examination or chest radiographic abnormalities were also predictive with OR 3.60 (95% CI 1.31 to 9.90) and 3.16 (95% CI 1.32 to 7.62), respectively. The most significant historical pointer for predicting a specific cause of the cough was a parental history of moist cough (sensitivity 96%, specificity 26%, positive predictive value 74%). CONCLUSIONS: The most useful clinical marker in predicting specific cough is the presence of a daily moist cough. Both chest examination and chest radiographic abnormalities are also useful in predicting whether children have a specific cause of their cough.
BACKGROUND: Paediatricians rely on cough descriptors to direct them to the level of investigations needed for a child presenting with chronic cough, yet there is a lack of published data to support this approach. A study was undertaken to evaluate (1) whether historical cough pointers can predict which children have a specific cause for their cough and (2) the usefulness of chest radiography and spirometry as standard investigations in children with chronic cough. METHODS: This was a prospective cohort study of children referred to a tertiary hospital with a cough lasting >3 weeks between June 2002 and July 2004. All included children completed a detailed history and examination using a standardised data collection sheet and followed a pathway of investigation until a diagnosis was made. RESULTS: In 100 consecutively recruited children of median age 2.8 years, the best predictor of specific cough observed was a moist cough at the time of consultation with an odds ratio (OR) of 9.34 (95% CI 3.49 to 25.03). Chest examination or chest radiographic abnormalities were also predictive with OR 3.60 (95% CI 1.31 to 9.90) and 3.16 (95% CI 1.32 to 7.62), respectively. The most significant historical pointer for predicting a specific cause of the cough was a parental history of moist cough (sensitivity 96%, specificity 26%, positive predictive value 74%). CONCLUSIONS: The most useful clinical marker in predicting specific cough is the presence of a daily moist cough. Both chest examination and chest radiographic abnormalities are also useful in predicting whether children have a specific cause of their cough.
Authors: Richard S Irwin; Michael H Baumann; Donald C Bolser; Louis-Philippe Boulet; Sidney S Braman; Christopher E Brightling; Kevin K Brown; Brendan J Canning; Anne B Chang; Peter V Dicpinigaitis; Ron Eccles; W Brendle Glomb; Larry B Goldstein; LeRoy M Graham; Frederick E Hargreave; Paul A Kvale; Sandra Zelman Lewis; F Dennis McCool; Douglas C McCrory; Udaya B S Prakash; Melvin R Pratter; Mark J Rosen; Edward Schulman; John Jay Shannon; Carol Smith Hammond; Susan M Tarlo Journal: Chest Date: 2006-01 Impact factor: 9.410
Authors: R S Irwin; L P Boulet; M M Cloutier; R Fuller; P M Gold; V Hoffstein; A J Ing; F D McCool; P O'Byrne; R H Poe; U B Prakash; M R Pratter; B K Rubin Journal: Chest Date: 1998-08 Impact factor: 9.410
Authors: Julie M Marchant; I Brent Masters; Simone M Taylor; Nancy C Cox; Greg J Seymour; Anne B Chang Journal: Chest Date: 2006-05 Impact factor: 9.410
Authors: C D Rudolph; L J Mazur; G S Liptak; R D Baker; J T Boyle; R B Colletti; W T Gerson; S L Werlin Journal: J Pediatr Gastroenterol Nutr Date: 2001 Impact factor: 2.839
Authors: Teresa Pitts; Kendall F Morris; Lauren S Segers; Ivan Poliacek; Melanie J Rose; Bruce G Lindsey; Paul W Davenport; Dena R Howland; Donald C Bolser Journal: J Appl Physiol (1985) Date: 2016-06-09
Authors: A B Chang; C F Robertson; P P van Asperen; N J Glasgow; I B Masters; C M Mellis; L I Landau; L Teoh; P S Morris Journal: Trials Date: 2010-11-06 Impact factor: 2.279
Authors: Jenny Pang; Larry D Teeter; Dolly J Katz; Amy L Davidow; Wilson Miranda; Kirsten Wall; Smita Ghosh; Trudy Stein-Hart; Blanca I Restrepo; Randall Reves; Edward A Graviss Journal: Pediatrics Date: 2014-02-10 Impact factor: 7.124
Authors: Ahmad Kantar; Anne B Chang; Mike D Shields; Julie M Marchant; Keith Grimwood; Jonathan Grigg; Kostas N Priftis; Renato Cutrera; Fabio Midulla; Paul L P Brand; Mark L Everard Journal: Eur Respir J Date: 2017-08-24 Impact factor: 16.671