Clinical prediction model for the diagnosis of asthma in children and young people in primary care
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Description: This project aims to derive and validate a clinical prediction rule for the diagnosis of asthma in children and young people in primary care. Code lists will be used to create variables from anonymised routinely collected medical records. The code lists deposited are lists of Read code (version 2) that were used to identify the presence of: 1) an asthma specific code 2) evidence of lung function or reversibility testing having been considered or completed Both code lists are based on published work: Nissen F, Morales DR, Mullerova H, Smeeth L, Douglas IJ, Quint JK. Validation of asthma recording in the Clinical Practice Research Datalink (CPRD). BMJ open. 2017 Aug 1;7(8):e017474 (2017) http://dx.doi.org/10.1136/bmjopen-2017-017474 1) The asthma specific code list is available under a CC BY 3.0 License. Nissen, F and Quint, JK (2017). Clinical Code List - Specific Asthma Codes. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.210. It was modified for the current project by converting from Medcode to Read code. 2) Nissen, F and Quint, JK (2017) used a list of Read codes to identify reversibility. The list was expanded upon (over 150 additional codes) to incorporate evidence of lung function or reversibility testing having been considered or conducted. I am indebted to Nissen, F and Quint, JK for allowing me access to their code lists.