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Thorax Podcast
BMJ Group
82 episodes
1 month ago
The Thorax podcast offers the latest insights in respiratory medicine. Each episode features in-depth interviews with renowned authors and leading experts in the field, delving into the latest respiratory research and treatments. Thorax, an esteemed international journal from the BMJ Group and the British Thoracic Society (BTS), is dedicated to publishing research and reviews in respiratory medicine to improve clinical practice. Stay ahead in your field by tuning into our expert discussions and accessing cutting-edge content. Elevate your understanding of respiratory medicine with Thorax - thorax.bmj.com - and its podcast. * The purpose of this podcast is to educate and to inform. The content of this podcast does not constitute medical advice and it is not intended to function as a substitute for a healthcare practitioner’s judgement, patient care or treatment. The views expressed by contributors are those of the speakers. BMJ does not endorse any views or recommendations discussed or expressed on this podcast. Listeners should also be aware that professionals in the field may have different opinions. By listening to this podcast, listeners agree not to use its content as the basis for their own medical treatment or for the medical treatment of others.
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Medicine
Health & Fitness
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All content for Thorax Podcast is the property of BMJ Group and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
The Thorax podcast offers the latest insights in respiratory medicine. Each episode features in-depth interviews with renowned authors and leading experts in the field, delving into the latest respiratory research and treatments. Thorax, an esteemed international journal from the BMJ Group and the British Thoracic Society (BTS), is dedicated to publishing research and reviews in respiratory medicine to improve clinical practice. Stay ahead in your field by tuning into our expert discussions and accessing cutting-edge content. Elevate your understanding of respiratory medicine with Thorax - thorax.bmj.com - and its podcast. * The purpose of this podcast is to educate and to inform. The content of this podcast does not constitute medical advice and it is not intended to function as a substitute for a healthcare practitioner’s judgement, patient care or treatment. The views expressed by contributors are those of the speakers. BMJ does not endorse any views or recommendations discussed or expressed on this podcast. Listeners should also be aware that professionals in the field may have different opinions. By listening to this podcast, listeners agree not to use its content as the basis for their own medical treatment or for the medical treatment of others.
Show more...
Medicine
Health & Fitness
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Smarter prescription of azithromycin using machine learning, with Prof. Wim Janssens
Thorax Podcast
19 minutes
2 months ago
Smarter prescription of azithromycin using machine learning, with Prof. Wim Janssens
Prophylactic use of azithromycin is common in the management of COPD patients with frequent acute exacerbations. But its application is conservative due to concerns around adverse events, interactions with other drugs, and bacterial resistance. Given these concerns, it is important to identify patients who are likely to be responders or non-responders. According to the NICE guidance in the UK, you should consider azithromycin if the patient: Doesn't smoke. Has already accounted for non-drug treatments, inhaled therapies and vaccines. And has one or more of the following kinds of exacerbations: Frequent exacerbations, more than four times a year, with high sputum production Prolonged exacerbations with high sputum production. Exacerbations causing hospitalisation. In this episode, Thorax social media editor Dr. Kate Diomede speaks to Prof. Wim Janssens¹, author of a study proposing five parameters to predict the individual treatment effect of azithromycin. These parameters were developed using a machine learning model trained using the MACRO and COLUMBUS datasets. This led to the creation of an online calculator, serving as an aid in decision making.   Read the paper: Identifying azithromycin responders with an individual treatment effect model in COPD   1. Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), KU Leuven, Leuven, Belgium   Please engage in the conversation through the social media channels (Twitter - @ThoraxBMJ; Facebook - Thorax.BMJ) and subscribe on your preferred platform, to get the latest episodes directly on your device each month. We would love to hear your thoughts on the podcast, you can leave a review on Apple Podcasts or Spotify.
Thorax Podcast
The Thorax podcast offers the latest insights in respiratory medicine. Each episode features in-depth interviews with renowned authors and leading experts in the field, delving into the latest respiratory research and treatments. Thorax, an esteemed international journal from the BMJ Group and the British Thoracic Society (BTS), is dedicated to publishing research and reviews in respiratory medicine to improve clinical practice. Stay ahead in your field by tuning into our expert discussions and accessing cutting-edge content. Elevate your understanding of respiratory medicine with Thorax - thorax.bmj.com - and its podcast. * The purpose of this podcast is to educate and to inform. The content of this podcast does not constitute medical advice and it is not intended to function as a substitute for a healthcare practitioner’s judgement, patient care or treatment. The views expressed by contributors are those of the speakers. BMJ does not endorse any views or recommendations discussed or expressed on this podcast. Listeners should also be aware that professionals in the field may have different opinions. By listening to this podcast, listeners agree not to use its content as the basis for their own medical treatment or for the medical treatment of others.