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BOSTON – , a new real-world analysis of data on more than 3 million migraine attacks shows.
The findings “align with results of clinical trials and recommendations from clinical treatment guidelines” and provide insights to complement clinical practice, said study investigator Chia-Chun Chiang, MD, a neurologist with Mayo Clinic, Rochester, Minn.
The findings were presented at the 2023 annual meeting of the American Academy of Neurology.
The power of big data
Despite a wide variety of acute migraine medications that are available, large-scale, head-to-head comparisons of treatment effectiveness from real-world patient experience reports are lacking, Dr. Chiang explained.
“To the best of our knowledge, this is the first study that simultaneously compared multiple acute migraine medications using a Big Data analysis approach based on real-world patient-provided data,” she said.
The researchers extracted more than 10 million self-reported migraine attack records from a migraine smartphone app called Migraine Buddy, where users can document whether a treatment was helpful, somewhat helpful, unsure, or unhelpful.
They analyzed 25 acute medications among seven classes: acetaminophen, nonsteroidal anti-inflammatory drugs (NSAIDs), triptans, combination analgesics (acetaminophen/aspirin/caffeine), ergots, antiemetics, and opioids. The newer gepants and ditan medication classes of medications were not included because of the relatively lower numbers of usage when data was extracted (2014-2020).
The researchers employed a two-level nested logistic regression model to analyze the odds of treatment effectiveness of each medication by adjusting concurrent medications and the covariance within the same user.
The final analysis included more than 3.1 million migraine attacks among 278,000 users globally.
Using ibuprofen as the reference, triptans, ergots, and antiemetics had the highest efficacy with mean odds ratios of 4.8, 3.02, and 2.67, respectively, followed by opioids (OR, 2.49), NSAIDs (OR, 1.94), combination analgesics (OR, 1.69), others (OR, 1.49), and acetaminophen (OR, 0.83).
Individual medications with the highest patient-reported effectiveness were eletriptan (Relpax; OR, 6.1), zolmitriptan (Zomig; OR, 5.7) and sumatriptan (Zecuity; OR, 5.2).
This migraine medication comparative effectiveness analysis, based on patient-reported outcomes, “supports and complements the treatment recommendations from national headache societies based on randomized controlled trials and meta-analyses and strongly supports the use of triptans,” Dr. Chiang said.
End of trial-and-error?
Commenting on this research, Shaheen Lakhan, MD, PhD, a neurologist and researcher in Boston, said “This is a great study of Big Data in that it shows the power of the smartphone to collect real-world data and smart researchers like at Mayo Clinic to analyze them.”
“The study sheds light on how different therapeutics compare with each other. The next iteration of this line of research, I would hope, would be to determine if particular medications are effective for a particular migraine population, and even down to individuals with migraine,” said Dr. Lakhan, who wasn’t involved in the study.
“Once those models are appropriately built, long gone will be the era of trial-and-error medicine,” Dr. Lakhan added.
The study had no specific funding. Dr. Chiang has served as a consultant for Satsuma. Dr. Lakhan reports no relevant financial relationships.
A version of this article originally appeared on Medscape.com.
BOSTON – , a new real-world analysis of data on more than 3 million migraine attacks shows.
The findings “align with results of clinical trials and recommendations from clinical treatment guidelines” and provide insights to complement clinical practice, said study investigator Chia-Chun Chiang, MD, a neurologist with Mayo Clinic, Rochester, Minn.
The findings were presented at the 2023 annual meeting of the American Academy of Neurology.
The power of big data
Despite a wide variety of acute migraine medications that are available, large-scale, head-to-head comparisons of treatment effectiveness from real-world patient experience reports are lacking, Dr. Chiang explained.
“To the best of our knowledge, this is the first study that simultaneously compared multiple acute migraine medications using a Big Data analysis approach based on real-world patient-provided data,” she said.
The researchers extracted more than 10 million self-reported migraine attack records from a migraine smartphone app called Migraine Buddy, where users can document whether a treatment was helpful, somewhat helpful, unsure, or unhelpful.
They analyzed 25 acute medications among seven classes: acetaminophen, nonsteroidal anti-inflammatory drugs (NSAIDs), triptans, combination analgesics (acetaminophen/aspirin/caffeine), ergots, antiemetics, and opioids. The newer gepants and ditan medication classes of medications were not included because of the relatively lower numbers of usage when data was extracted (2014-2020).
The researchers employed a two-level nested logistic regression model to analyze the odds of treatment effectiveness of each medication by adjusting concurrent medications and the covariance within the same user.
The final analysis included more than 3.1 million migraine attacks among 278,000 users globally.
Using ibuprofen as the reference, triptans, ergots, and antiemetics had the highest efficacy with mean odds ratios of 4.8, 3.02, and 2.67, respectively, followed by opioids (OR, 2.49), NSAIDs (OR, 1.94), combination analgesics (OR, 1.69), others (OR, 1.49), and acetaminophen (OR, 0.83).
Individual medications with the highest patient-reported effectiveness were eletriptan (Relpax; OR, 6.1), zolmitriptan (Zomig; OR, 5.7) and sumatriptan (Zecuity; OR, 5.2).
This migraine medication comparative effectiveness analysis, based on patient-reported outcomes, “supports and complements the treatment recommendations from national headache societies based on randomized controlled trials and meta-analyses and strongly supports the use of triptans,” Dr. Chiang said.
End of trial-and-error?
Commenting on this research, Shaheen Lakhan, MD, PhD, a neurologist and researcher in Boston, said “This is a great study of Big Data in that it shows the power of the smartphone to collect real-world data and smart researchers like at Mayo Clinic to analyze them.”
“The study sheds light on how different therapeutics compare with each other. The next iteration of this line of research, I would hope, would be to determine if particular medications are effective for a particular migraine population, and even down to individuals with migraine,” said Dr. Lakhan, who wasn’t involved in the study.
“Once those models are appropriately built, long gone will be the era of trial-and-error medicine,” Dr. Lakhan added.
The study had no specific funding. Dr. Chiang has served as a consultant for Satsuma. Dr. Lakhan reports no relevant financial relationships.
A version of this article originally appeared on Medscape.com.
BOSTON – , a new real-world analysis of data on more than 3 million migraine attacks shows.
The findings “align with results of clinical trials and recommendations from clinical treatment guidelines” and provide insights to complement clinical practice, said study investigator Chia-Chun Chiang, MD, a neurologist with Mayo Clinic, Rochester, Minn.
The findings were presented at the 2023 annual meeting of the American Academy of Neurology.
The power of big data
Despite a wide variety of acute migraine medications that are available, large-scale, head-to-head comparisons of treatment effectiveness from real-world patient experience reports are lacking, Dr. Chiang explained.
“To the best of our knowledge, this is the first study that simultaneously compared multiple acute migraine medications using a Big Data analysis approach based on real-world patient-provided data,” she said.
The researchers extracted more than 10 million self-reported migraine attack records from a migraine smartphone app called Migraine Buddy, where users can document whether a treatment was helpful, somewhat helpful, unsure, or unhelpful.
They analyzed 25 acute medications among seven classes: acetaminophen, nonsteroidal anti-inflammatory drugs (NSAIDs), triptans, combination analgesics (acetaminophen/aspirin/caffeine), ergots, antiemetics, and opioids. The newer gepants and ditan medication classes of medications were not included because of the relatively lower numbers of usage when data was extracted (2014-2020).
The researchers employed a two-level nested logistic regression model to analyze the odds of treatment effectiveness of each medication by adjusting concurrent medications and the covariance within the same user.
The final analysis included more than 3.1 million migraine attacks among 278,000 users globally.
Using ibuprofen as the reference, triptans, ergots, and antiemetics had the highest efficacy with mean odds ratios of 4.8, 3.02, and 2.67, respectively, followed by opioids (OR, 2.49), NSAIDs (OR, 1.94), combination analgesics (OR, 1.69), others (OR, 1.49), and acetaminophen (OR, 0.83).
Individual medications with the highest patient-reported effectiveness were eletriptan (Relpax; OR, 6.1), zolmitriptan (Zomig; OR, 5.7) and sumatriptan (Zecuity; OR, 5.2).
This migraine medication comparative effectiveness analysis, based on patient-reported outcomes, “supports and complements the treatment recommendations from national headache societies based on randomized controlled trials and meta-analyses and strongly supports the use of triptans,” Dr. Chiang said.
End of trial-and-error?
Commenting on this research, Shaheen Lakhan, MD, PhD, a neurologist and researcher in Boston, said “This is a great study of Big Data in that it shows the power of the smartphone to collect real-world data and smart researchers like at Mayo Clinic to analyze them.”
“The study sheds light on how different therapeutics compare with each other. The next iteration of this line of research, I would hope, would be to determine if particular medications are effective for a particular migraine population, and even down to individuals with migraine,” said Dr. Lakhan, who wasn’t involved in the study.
“Once those models are appropriately built, long gone will be the era of trial-and-error medicine,” Dr. Lakhan added.
The study had no specific funding. Dr. Chiang has served as a consultant for Satsuma. Dr. Lakhan reports no relevant financial relationships.
A version of this article originally appeared on Medscape.com.
AT AAN 2023