Impact of a new migraine-specific comorbidity index on prognosis: A methodology study

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dc.authoridÖzge, Aynur Avcı/0000-0003-2797-2398
dc.authoridyıldırım, didem derici/0000-0001-7709-6133
dc.authoridYologlu, Saim/0000-0002-9619-3462
dc.authoridTasdelen, Bahar/0000-0001-8146-4912
dc.authorwosidÖzge, Aynur Avcı/AFB-2183-2022
dc.authorwosidyıldırım, didem derici/AAE-3814-2019
dc.authorwosidYologlu, Saim/ABI-8014-2020
dc.authorwosidTasdelen, Bahar/G-4291-2015
dc.contributor.authorYildirim, Didem Derici
dc.contributor.authorTasdelen, Bahar
dc.contributor.authorUluduz, Derya
dc.contributor.authorOzge, Aynur
dc.contributor.authorYologlu, Saim
dc.date.accessioned2024-08-04T20:09:58Z
dc.date.available2024-08-04T20:09:58Z
dc.date.issued2018
dc.departmentİnönü Üniversitesien_US
dc.description.abstractObjective: To develop and validate a comorbidity index to estimate the prognosis of migraine, defined as the severity of headache measured longitudinally in a heterogeneous population. Methods: The study data were collected from a computer-based Turkish Headache Database with 15-year's follow-up data. The primary outcome was defined as the severity of headache [visual analog scale (VAS)] obtained from baseline to the 7th visit. The procedure was multistage: First, latent subgroups were determined using group-based trajectory modeling (GBTM) because the change in outcomes over time were different for each patient. Second, group-based trajectory modeling analysis was applied with the purpose of understanding how to evaluate comorbidities. Lastly, according to the results obtained from the GBTM analysis and physicians viewpoints, a migraine-specific comorbidity index was developed and validated. Results: Out of all weighting methods to evaluate comorbidities, the three-group model and quadratic form of all groups fitted the data best. After deciding the number of groups and functional form, the information criteria and minimum group percentage of the weighting methods were compared. The best method was the posterior probabilities obtained from latent class analysis (LCA) taken as weights. At the same time, age was effective in the separation of the second and third groups from the first group for severity (p=0.047, p=0.007). Sex difference had no effect on the prognosis of migraine (p=0.99, p=0.16). Conclusion: According to these results, an index formula was developed to evaluate the effect of covariates on migraine severity prognosis. A migraine-specific comorbidity index called the Migraine Comorbidity Index (MCI) was created by applying the formula.en_US
dc.description.sponsorshipTurkish Neurology Society; Allergan C.O.en_US
dc.description.sponsorshipThis study database is a part of Turkish headache Database project partially supported by Turkish Neurology Society and Allergan C.O.en_US
dc.identifier.doi10.5152/NSN.2018.11428
dc.identifier.endpage188en_US
dc.identifier.issn2636-865X
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85064651925en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage183en_US
dc.identifier.trdizinid296428en_US
dc.identifier.urihttps://doi.org/10.5152/NSN.2018.11428
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/296428
dc.identifier.urihttps://hdl.handle.net/11616/92530
dc.identifier.volume35en_US
dc.identifier.wosWOS:000458116700005en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherWolters Kluwer Medknow Publicationsen_US
dc.relation.ispartofNeurological Sciences and Neurophysiologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMigraineen_US
dc.subjectgroup-based trajectory modelingen_US
dc.subjectco-morbidity indexen_US
dc.subjectprognosisen_US
dc.titleImpact of a new migraine-specific comorbidity index on prognosis: A methodology studyen_US
dc.typeArticleen_US

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