As some of you may be aware, for a few years now Lymedisease.org have been running a program called MyLymeData to encourage lyme disease patients to record and share data on their experience of this illness, symptoms treatments etc to aid research efforts into the disease.
This can be valuable – as the numbers involved are generally much larger than can be achieved with actual controlled trials - so the data has useful numeric power compared to anecdotal reports and can in therefore provide some insights into things like what treatments work best etc
They have now started to publish the results of analysing this data
This article looks as what proportion of patients used which treatment approach and how many reached remission
https://www.lymedisease.org/antibiotics-for-lyme-disease/It’s a 5 minute read with most of the data presented as easy to follow graphics so I encourage you to take a look.
The three main takeaways from this initial analysis are:
Chronic Lyme disease patients who improve substantially more often:
• Use antibiotics as part of their treatment approach
• Take antibiotics for more than 4 months and often for more than a year
• Rely on LLMDs to oversee their care
To my mind the following chart was very telling – if you look at the darkest blue bar – the patients who recovered – you can see the percentage that got their health back starts to go up significantly after 4 months of antibiotics and is much higher still in those that treated with antibiotics for over a year
https://www.lymedisease.org/images/lyme-disease-antibiotics-treatment-duration-patients.jpgThis kind of exponential response is indicative of an underlying relationship between treatment duration and full recovery
Of course, antibiotics are not the only therapy possible- just the one for which we have the most evidence, and in fact the majority of patients who did well also used alternative therapies.
Whether this means they had a material impact on the outcome – or are just indicative of people with lyme being willing to try anything to get better is not possible to say from this study – but perhaps they will do more looking into other treatment options in the future
I would be interested in one that evaluated things like Rife or HBOT for instance
I should highlight that these are essentially observational studies – so while numeric power is good – observational studies cannot prove things like cause and effect - but can indicate associations and trends
All the best