{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,18]],"date-time":"2026-10-18T22:45:35Z","timestamp":1792363535101,"version":"4.4.0"},"reference-count":7,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T00:00:00Z","timestamp":1574380800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["headachejournal.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Headache"],"published-print":{"date-parts":[[2020,2]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The American Registry for Migraine Research (ARMR) is a multicenter, prospective, longitudinal patient registry, biorepository, and neuroimaging repository that collects clinical data, electronic health record (EHR) data, blood samples, and brain imaging data from individuals with migraine or other headache types. In this manuscript, we outline ARMR research methods and report baseline data describing an initial cohort of ARMR participants.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Adults with any International Classification of Headache Disorders (ICHD) diagnosis were prospectively enrolled from one of the 8 participating headache specialty centers. At baseline, ARMR participants complete web\u2010based questionnaires, clinicians enter the participant\u2019s ICHD diagnoses, an optional blood specimen is collected, and neuroimaging data are uploaded to the ARMR neuroimaging repository. Participants maintain the ARMR daily headache diary longitudinally and follow\u2010up questionnaires are completed by participants every 3\u00a0months. EHR data are integrated into the ARMR database from a subset of ARMR sites. Herein, we describe the ARMR methodology and report the summary data from ARMR participants who had, from February 2016 to May 2019, completed at least 1 baseline questionnaire from which data are reported in this manuscript. Descriptive statistics are used to provide an overview of patient\u2019s sociodemographics, headache diagnoses, headache characteristics, most bothersome symptoms other than headache, headache\u2010related disability, comorbidities, and treatments.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Data were available from 996 ARMR participants, enrolled from Mayo Clinic Arizona, Dartmouth\u2010Hitchcock Medical Center, University of Utah, University of Colorado, Thomas Jefferson University, University of Texas Health Science Center at Houston, Georgetown University Medical Center, and DENT Neurological Institute. Among\u00a0ARMR participants, 86.7% (n\u00a0=\u00a0864) were female and the mean age at the time of enrollment was 48.6\u00a0years (\u00b113.9; range 18\u201084). The most common provider\u2010reported diagnosis was chronic migraine (n\u00a0=\u00a0622), followed by migraine without aura (n\u00a0=\u00a0327), migraine with aura (n\u00a0=\u00a0196), and medication overuse headache (n\u00a0=\u00a065). Average headache frequency was 19.1\u00a0\u00b1\u00a09.2\u00a0days per month (n\u00a0=\u00a0751), with 68% reporting at least 15 headache days per month. Sensitivity to light was the most frequent (n\u00a0=\u00a0222) most bothersome symptom overall, other than headache, but when present, cognitive dysfunction was most frequently (n\u00a0=\u00a0157) the most bothersome symptom other than headache. Average migraine disability assessment (MIDAS) score was 52\u00a0\u00b1\u00a049 (n\u00a0=\u00a0760), (very severe headache\u2010related disability); however, 17% of the ARMR population had MIDAS scores suggesting \u201cno\u201d or \u201cmild\u201d disability. The most common non\u2010headache health issues were allergies (n\u00a0=\u00a0364), back pain (n\u00a0=\u00a0296), neck pain (n\u00a0=\u00a0296), depression (n\u00a0=\u00a0292), and anxiety (n\u00a0=\u00a0278). Nearly 85% (n\u00a0=\u00a0695) of patients were using preventive medications and 24.7% were using non\u2010medication preventive therapy (eg, vitamins and neuromodulation). The most common preventive medication classes were neurotoxins, anticonvulsants, antidepressants, vitamins\/supplements, and anticalcitonin gene\u2010related peptide ligand or receptor\u2010targeted monoclonal antibodies. Nearly 90% (n\u00a0=\u00a0734) of ARMR participants was taking medications to treat migraine attacks, with the most common classes being triptans, non\u2010steroidal anti\u2010inflammatory drugs, antiemetics, acetaminophen, and combination analgesics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>ARMR is a source of real\u2010world patient data, biospecimens, and brain neuroimaging data that provides comprehensive insight into patients with migraine and other headache types being seen in headache specialty clinics in the United States. ARMR data will allow for longitudinal and advanced analytics that are expected to lead to a better characterization of patient heterogeneity, healthcare resource utilization, identification of endophenotypes, factors that predict treatment outcomes and clinical course, and ultimately advance the field toward precision headache medicine.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/head.13688","type":"journal-article","created":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T05:05:29Z","timestamp":1574399129000},"page":"337-347","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":52,"title":["The American Registry for Migraine Research: Research Methods and Baseline Data for an Initial Patient Cohort"],"prefix":"10.1111","volume":"60","author":[{"given":"Todd J.","family":"Schwedt","sequence":"first","affiliation":[{"name":"Mayo Clinic Phoenix AZ USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathleen","family":"Digre","sequence":"additional","affiliation":[{"name":"University of Utah Salt Lake City UT USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stewart J.","family":"Tepper","sequence":"additional","affiliation":[{"name":"Dartmouth\u2010Hitchcock Medical Center Lebanon NH USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicole M.","family":"Spare","sequence":"additional","affiliation":[{"name":"Thomas Jefferson University Philadelphia PA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jessica","family":"Ailani","sequence":"additional","affiliation":[{"name":"Medstar Georgetown Hospital Washington DC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marius","family":"Birlea","sequence":"additional","affiliation":[{"name":"University of Colorado Anschutz Medical Campus Aurora CO USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark","family":"Burish","sequence":"additional","affiliation":[{"name":"University of Texas Health Science Center at Houston Houston TX USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laszlo","family":"Mechtler","sequence":"additional","affiliation":[{"name":"DENT Neurologic Institute New York NY USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher","family":"Gottschalk","sequence":"additional","affiliation":[{"name":"Yale Medicine New Haven CT USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna M.","family":"Quinn","sequence":"additional","affiliation":[{"name":"American Migraine Foundation Mantua NJ USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linda","family":"McGillicuddy","sequence":"additional","affiliation":[{"name":"American Migraine Foundation Mantua NJ USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"Bance","sequence":"additional","affiliation":[{"name":"ZS Associates Evanston IL USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gina","family":"Dumkrieger","sequence":"additional","affiliation":[{"name":"Mayo Clinic Phoenix AZ USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Catherine D.","family":"Chong","sequence":"additional","affiliation":[{"name":"Mayo Clinic Phoenix AZ USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David W.","family":"Dodick","sequence":"additional","affiliation":[{"name":"Mayo Clinic Phoenix AZ USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,11,22]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/0333102417738202"},{"key":"e_1_2_8_3_1","volume-title":"Registries for Evaluating Patient Outcomes: A User\u2019s 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