--- title: "population-health approach to migraine by comorbidity | Sutter Health" description: "A population-health approach to characterizing migraine by comorbidity: Results from the Mindfulness and Migraine Cohort Study" url: "https://www.sutterhealth.org/research/publications/population-health-approach-to-migraine-by-comorbidity-1055312846" --- 1. [Home](https://www.sutterhealth.org/) / 2. [Research](https://www.sutterhealth.org/research) / 3. [Research publications](https://www.sutterhealth.org/research/publications) / 4. population-health approach to migraine by comorbidity # A population-health approach to characterizing migraine by comorbidity: Results from the Mindfulness and Migraine Cohort Study Sudat SE & Jacobson AS et al. A population-health approach to characterizing migraine by comorbidity: Results from the Mindfulness and migraine study _Cephalalgia. 2022;42(11-12):1255-1264. doi:10.1177/03331024221104180_ 2022-05-31 ## Abstract Background: The heterogeneity of migraine has been reported extensively, with identified subgroups usually based on symptoms. Grouping individuals with migraine and similar comorbidity profiles has been suggested, however such segmentation methods have not been tested using real-world clinical data. Objective: To gain insights into natural groupings of patients with migraine using latent class analysis based on electronic health record-determined comorbidities. Methods: Retrospective electronic health record data analysis of primary-care patients at Sutter Health, a large open healthcare system in Northern California, USA. We identified migraine patients over a five-year time period (2015-2019) and extracted 29 comorbidities. We then applied latent class analysis to identify comorbidity-based natural subgroups. Results: We identified 95,563 patients with migraine and found seven latent classes, summarized by their predominant comorbidities and population share: fewest comorbidities (61.8%), psychiatric (18.3%), some comorbidities (10.0%), most comorbidities - no cardiovascular (3.6%), vascular (3.1%), autoimmune/joint/pain (2.2%), and most comorbidities (1.0%). We found minimal demographic differences across classes. Conclusion: Our study found groupings of migraine patients based on comorbidity that have the potential to be used to guide targeted treatment strategies and the development of new therapies. [PubMed abstract](https://pubmed.ncbi.nlm.nih.gov/35642092/) ![Sylvia Sudat, Ph.D.](https://dyn.mktgcdn.com/p/2AHRaDJwevdbwzC2ecrwY3nYIxbiqxd9NbpxBlI8Kpk/fit=crop,gravity=auto,dpr=2,width=188,height=250,quality=100) Sylvia Sudat, Ph.D. Principal investigator [View profile](https://www.sutterhealth.org/research/investigators/sylvia-sudat-phd-1049681027) ## Research topics - [Biostatistics](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Biostatistics%5C%22%22) - [EHR Data](https://www.sutterhealth.org/research-search-results?query=%22%5C%22EHR+Data%5C%22%22) - [Migraine](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Migraine%5C%22%22) - [Mindfulness](https://www.sutterhealth.org/research-search-results?query=%22%5C%22Mindfulness%5C%22%22) ## Related publications [View all publications](https://www.sutterhealth.org/research-search-results?verticalKey=research_publication) - Publication ### [The migraine signature study: methods and baseline results](https://www.sutterhealth.org/research/publications/the-migraine-signature-study-methods-baseline-results-1055312789) Pressman AR, Buse DC, Jacobson AS, Vaidya SJ, Scott AB, Chia VM, Szekely CA, Stewart WF, Lipton RB Headache. doi: 10.1111/head.14033. Online ahead of print. 2020 Dec 23 - Publication ### [Racial Disparities in Pulse Oximeter Device Inaccuracy and Estimated Clinical Impact on COVID-19 Treatment Course](https://www.sutterhealth.org/research/publications/racial-disparities-pulse-oximeter-device-covid-19-1055312833) Sudat SEK, Wesson P, Rhoads KF, et al.Racial Disparities in Pulse Oximeter Device Inaccuracy and Estimated Clinical Impact on COVID-19 Treatment Course Am J Epidemiol. 2023;192(5):703-713. doi:10.1093/aje/kwac164 2022 Sep 29 - Publication ### [A comparison of two worlds: How does Bayes hold up to the status quo for the analysis of clinical trials?](https://www.sutterhealth.org/research/publications/bayesian-vs-trad-methods-to-analyze-clinical-trials-1055312637) Pressman AR, Avins AL, Hubbard A, Satariano WA. Contemp Clin Trials. 32(4):561-8. doi: 10.1016/j.cct.2011.03.010. Epub 2011 Mar 29. 2011 Jul 01 - Publication ### [Algorithm for balancing both continuous and categorical covariates in randomized controlled trials](https://www.sutterhealth.org/research/publications/algorithm-balancing-covariates-rcts-1055312558) Xiao L, Yank V, Ma J. Comput Methods Programs Biomed. 108(3):1185-90. doi: 10.1016/j.cmpb.2012.06.001. Epub 2012 Jun 22. 2012 Dec 01 - Publication ### [Bar charts enhance Bland-Altman plots when value ranges are limited.](https://www.sutterhealth.org/research/publications/bar-charts-enhance-bland-altman-plots-1055312551) Smith MW, Ma J, Stafford RS. J Clin Epidemiol. 63(2):180-4. doi: 10.1016/j.jclinepi.2009.06.001. Epub 2009 Aug 27. 2010 Feb 01 [View all publications](https://www.sutterhealth.org/research-search-results?verticalKey=research_publication) ```json {"@context":"https://schema.org","@type":"MedicalOrganization","name":"Sutter Health","@id":"https://www.sutterhealth.org/#medicalorganization","url":"https://www.sutterhealth.org","logo":"https://www.sutterhealth.org/static/images/sutter-health-logo.svg","address":{"@type":"PostalAddress","streetAddress":"2200 River Plaza Drive","addressLocality":"Sacramento","addressRegion":"CA","postalCode":"95833","addressCountry":"US"},"areaServed":{"@type":"AdministrativeArea","name":"California"},"sameAs":["https://www.facebook.com/SutterHealth","https://www.instagram.com/sutterhealth/","https://x.com/SutterHealth","https://www.youtube.com/sutterhealth","https://www.linkedin.com/company/sutter-health","https://en.wikipedia.org/wiki/Sutter_Health"]} ``` ```json {"@context":"https://schema.org","@type":"BreadcrumbList","@id":"https://www.sutterhealth.org/research/publications/population-health-approach-to-migraine-by-comorbidity-1055312846#breadcrumblist","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.sutterhealth.org/"},{"@type":"ListItem","position":2,"name":"Research","item":"https://www.sutterhealth.org/research"},{"@type":"ListItem","position":3,"name":"Research publications","item":"https://www.sutterhealth.org/research/publications"},{"@type":"ListItem","position":4,"name":"population-health approach to migraine by comorbidity"}]} ``` ```json {"@context":"https://schema.org","@type":"MedicalScholarlyArticle","@id":"https://www.sutterhealth.org/research/publications/population-health-approach-to-migraine-by-comorbidity-1055312846#medicalscholarlyarticle","name":"A population-health approach to characterizing migraine by comorbidity: Results from the Mindfulness and Migraine Cohort Study","headline":"population-health approach to migraine by comorbidity","abstract":"Background: The heterogeneity of migraine has been reported extensively, with identified subgroups usually based on symptoms. Grouping individuals with migraine and similar comorbidity profiles has been suggested, however such segmentation methods have not been tested using real-world clinical data. Objective: To gain insights into natural groupings of patients with migraine using latent class analysis based on electronic health record-determined comorbidities. Methods: Retrospective electronic health record data analysis of primary-care patients at Sutter Health, a large open healthcare system in Northern California, USA. We identified migraine patients over a five-year time period (2015-2019) and extracted 29 comorbidities. We then applied latent class analysis to identify comorbidity-based natural subgroups. Results: We identified 95,563 patients with migraine and found seven latent classes, summarized by their predominant comorbidities and population share: fewest comorbidities (61.8%), psychiatric (18.3%), some comorbidities (10.0%), most comorbidities - no cardiovascular (3.6%), vascular (3.1%), autoimmune/joint/pain (2.2%), and most comorbidities (1.0%). We found minimal demographic differences across classes. Conclusion: Our study found groupings of migraine patients based on comorbidity that have the potential to be used to guide targeted treatment strategies and the development of new therapies.","description":"A population-health approach to characterizing migraine by comorbidity: Results from the Mindfulness and Migraine Cohort Study","keywords":["Biostatistics","EHR Data","Migraine","Mindfulness"],"datePublished":"2022-05-31","url":"https://www.sutterhealth.org/research/publications/population-health-approach-to-migraine-by-comorbidity-1055312846","inLanguage":"en-US","identifier":[{"@type":"PropertyValue","propertyID":"PMID","value":"35642092"},{"@type":"PropertyValue","propertyID":"DOI","value":"10.1177/03331024221104180"}],"sameAs":["https://pubmed.ncbi.nlm.nih.gov/35642092/","https://doi.org/10.1177/03331024221104180"],"isPartOf":{"@type":"Periodical","name":"Cephalalgia"},"about":[{"@type":"DefinedTerm","name":"Biostatistics","url":"https://www.sutterhealth.org/research-search-results?facets=%5B%7B%22i%22%3A%22c_researchTopics.name%22%2C%22v%22%3A%5B%22Biostatistics%22%5D%7D%5D&verticalKey=research_publication"},{"@type":"DefinedTerm","name":"EHR Data","url":"https://www.sutterhealth.org/research-search-results?facets=%5B%7B%22i%22%3A%22c_researchTopics.name%22%2C%22v%22%3A%5B%22EHR+Data%22%5D%7D%5D&verticalKey=research_publication"},{"@type":"DefinedTerm","name":"Migraine","url":"https://www.sutterhealth.org/research-search-results?facets=%5B%7B%22i%22%3A%22c_researchTopics.name%22%2C%22v%22%3A%5B%22Migraine%22%5D%7D%5D&verticalKey=research_publication"},{"@type":"DefinedTerm","name":"Mindfulness","url":"https://www.sutterhealth.org/research-search-results?facets=%5B%7B%22i%22%3A%22c_researchTopics.name%22%2C%22v%22%3A%5B%22Mindfulness%22%5D%7D%5D&verticalKey=research_publication"}],"mainEntityOfPage":{"@type":"WebPage","@id":"https://www.sutterhealth.org/research/publications/population-health-approach-to-migraine-by-comorbidity-1055312846","breadcrumb":{"@id":"https://www.sutterhealth.org/research/publications/population-health-approach-to-migraine-by-comorbidity-1055312846#breadcrumblist"}}} ```