Identifying Natural Subgroups of Migraine Based on Comorbidity and Concomitant Condition Profiles: Results of the Chronic Migraine Epidemiology and Outcomes (CaMEO) Study.
Objective: To identify natural subgroups of people with migraine based on profiles of comorbidities and concomitant conditions, hereafter referred to as comorbidities. Background: Migraine is a heterogeneous disease. Identifying natural subgroups (endophenotypes) may facilitate biological and geneti...
| Published in: | Headache: The Journal of Head & Face Pain Vol. 58; no. 7; pp. 933 - 948 |
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| Main Authors: | , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Jul2018
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=131455862&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 131455862 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00178748 4AP jtl: Headache: The Journal of Head & Face Pain issn: 00178748 maglogo: Y pubinfo: dt: Jul2018 vid: 58 iid: 7 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 131455862 131455862 131455862 10.1111/head.13342 131455862 ppf: 933 ppct: 15 formats: tig: atl: Identifying Natural Subgroups of Migraine Based on Comorbidity and Concomitant Condition Profiles: Results of the Chronic Migraine Epidemiology and Outcomes (CaMEO) Study. aug: au: Lipton, Richard B. Fanning, Kristina M. Buse, Dawn C. Martin, Vincent T. Reed, Michael L. Manack Adams, Aubrey Goadsby, Peter J. affil: Montefiore Headache Center, Bronx, NY, USA sug: subj: Migraine Epidemiology Comorbidity Chronic Disease Human Prospective Studies Surveys United States Migraine Diagnosis Data Analysis, Statistical Respiratory Tract Diseases Psychiatry Cardiovascular Diseases Headache Membership Severity of Disability Questionnaires Allodynia Health Services Misuse Epilepsy ab: Objective: To identify natural subgroups of people with migraine based on profiles of comorbidities and concomitant conditions, hereafter referred to as comorbidities. Background: Migraine is a heterogeneous disease. Identifying natural subgroups (endophenotypes) may facilitate biological and genetic characterization and the development of personalized treatment. Methods: The Chronic Migraine Epidemiology and Outcomes Study is a prospective web‐based survey study designed to characterize the course of migraine and related comorbidities in a systematic US sample of people with migraine. Respondents were asked if they ever had a specific comorbidity and, if present, whether the comorbidity was confirmed/diagnosed by a “doctor”; 62 comorbidities were available for analysis. Latent class analysis (LCA) modeling determined the optimal number of classes and a parsimonious set of comorbidities. Results: Of the 12,810 respondents with migraine, 11,837 reported ≥1 comorbidity and were included in this analysis. After statistical analysis and clinical judgment reduced the number of comorbidities, we selected an 8‐class model based on 22 comorbidities. Each class had a distinct pattern summarized as follows: Class 1, Most Comorbidities; Class 2, Respiratory/Psychiatric; Class 3, Respiratory/Pain; Class 4, Respiratory; Class 5, Psychiatric; Class 6, Cardiovascular; Class 7, Pain; Class 8, Fewest Comorbidities. The distribution of individuals across models was variable, with one‐third of respondents in Class 8 (Fewest Comorbidities) and <10% in Class 1 (Most Comorbidities). Demographic and headache characteristics, not used in assigning class membership, varied across classes. For example, comparing Class 1 (Most Comorbidities) and Class 8 (Fewest Comorbidities), Class 1 had a greater proportion of individuals with severe disability (Migraine Disability Assessment grade IV; 48.1% vs 22.3% of overall individuals) and higher rates of allodynia (67.6% vs 47.0%), medication overuse (36.4% vs 15.0%), chronic migraine (23.1% vs 9.1%), and aura (40.1% vs 28.8%). Conclusions: LCA modeling identified 8 natural subgroups of persons with migraine based on comorbidity profiles. These classes show differences in demographic and headache features not used to form the classes. Subsequent research will assess prognostic and biologic differences among the classes. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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