Abstract
INTRODUCTION: migraine is a disorder with high prevalence and with probable genetic etiology.
OBJECTIVE: to determine the clinical and latent class cluster (LCC) characteristics of Antioquian families with one probands with chronic headache.
MATERIALS AND METHODS: 550 individuals (374 females and 176 males) were studied. All participants were asked with one screening question in order to select suspicious of migraine. An interview with the International Headache Society (IHS) criteria and a neurological examination were administered to all probably migraine affected patients. Migraine diagnosis and classification into migraine with aura (MA) and migraine without aura (M0) was done. The IHS were used to develop a LCC analysis, calculating maximum likelihood index and controlling the local independence assumption.
RESULTS: 61,6 per cent of the family members were affected with migraine, 40 per cent had M0 and 21,6 per cent had MA. Intensity was estimated between moderate to severe by 96,4 per cent of the cases. Approximately 70 per cent had nausea, vomiting, sonophobia, photophobia and worsening with exercise. 4 LCC were derived: one with M0 + MA, with high probability to be females, and early onset crisis; other group was constituted by healthy people of both genders; the third cluster had M0 of intermediate age onset, with moderate to severe attack, with long duration and predominantly females; finally a 4th cluster of females with M0 of early onset and short duration.
CONCLUSIONS: clinical characteristics of migraine patients in these Antioquian families were similar to those informed by others studies. The distribution of LCC suggests a genetic transmission of vulnerability, which interacting with several environmental factors, would determine the age of onset and the types of attacks as M0, or M0+MA.
References
Lipton RB, Stewart WF. Migraine in the United States epidemiology and health care use. Neurology 1993; 43: S6-S10.
Morillo LE, Alarcón F, Aranaga N, Aulet S, Chapman E, Conterno L, et al. Prevalence of migraine in Latin America. Headache 2005; 45: 106-117.
Hawkings K, Wang S, Rupnow MF. Indirect cost burden of migraine in the United States. J Occup Environ Med. 2007; 49: 368-374.
Russell MB. Genetics in primary headaches.J Headache Pain. 2007; 8:190-5.
Fernandez F, Curtain RP, Colson NJ, Oycaric M, MacmillaJC,Griffith LR. Association analysis of chromosome 1 migraine candidate genes. BMC Med Genet. 2007; 8:57.
Ptacek LJ. Ion channel diseases: episodic disorders of the nervous system. Semin Neurol 1999;19: 363-369.
Dichgans M. Genetics of ischaemic stroke. Lancet Neurol 2007; 6: 149-161.
Headache Classification Committee of the International Headache Society. Classification and diagnostic criteria for headache disorders, cranial neuralgias and facial pain. Cephalalgia 1988; 8: S1-S96.
Merikangas KR, Whitaker AE, Angst J. Validation of diagnostic criteria for migraine in the Zu¨ rich Longitudinal Cohort Study. Cephalalgia 1993; 13: 47-53.
Merikangas KR, Dartigues JF, Whitaker A, Angst J. Diagnostic criteria for migraine: a validity study. Neurology 1994; 44: 11-16.
Russell MB, Olesen J. Increased familial risk and evidence of a genetic factor in migraine. Br Med J 1995; 311: 541-544.
Russell MB, Rasmussen BK, Thorvaldsen P, Olesen J. Prevalence and sex-ratio of the subtypes of migraine. Int J Epidemiol 1995; 24: 612-618.
Russell MB, Rasmussen BK, Fenger K, Olesen J. Migraine without aura and migraine with aura are distinct clinical entities: a study of four hundred and eighty-four male and female migraineurs from the general population. Cephalalgia 1996; 16: 239-245.
Launer LJ, Terwindt GM, Ferrari MD. The prevalence and characteristics of migraine in a population-based cohort: the GEM study. Neurology 1999; 53: 537-542.
Nyholt DR, Gillespie NG, Heath AC, Merikangas KR, Duffy DL, Martin NG. Latent class and genetic analysis does not support migraine with aura and migraine without aura as separate entities. Genet Epidemiol 2004; 26: 231-244.
Vermunt JK., Magidson J. Latent GOLD User’s Guide. Belmont: Statistical Innovations 2000.
Meehl PE. Bootstrap Taxometrics. Am Psychologist 1995; 50: 266-275.
Meehl PE. Comorbidity and Taxometrics. Clin Psychol: Science and Practice 2001; 8: 507-519.
Meehl PE, Golden RR. Taxometric Methods. In: Kendall P, Butcher J, eds. Handbook of Research Methods in Clinical Psychology. New York: Wiley 1982: 127-181.
Meehl PE,Yonce L J. Taxometric Analysis: I Detecting Taxonicity with Two Quantitative Indicators Using Means above and Means Below a Sliding Cut (MAMBAC procedure). Psychol Reports 1994; 74: 1059-1274.
Meehl PE, Yonce LJ. Taxometric Analysis: II. Detecting Taxonicity Using Covariance of two Quantitative Indicators in Successive Intervals of a Third Indicator (MAXCOV procedure). Psychol Reports 1996; 78: 1091-1227.
Waller NG, Meehl PE. Multivariate Taxometric Procedures: Distinguishing Types from Continua. Thousand Oaks, CA: Sage 1998.
Vermunt JK, Magidson J. Latent class cluster analysis. In: Hagenaars JA, McCutcheon AL, editors. Applied latent class analysis. Cambridge, UK: Cambridge University Press 2002: 89-106.
Bigal ME, Liberman JM,Lipton RB. Age-dependent prevalence and clinical features of migraine. Neurology 2006; 67: 246-251.
Rasmussen BK, Jensen R, Schrolll M, Olesen J. Epidemiology of headache in general population-a prevalence study. J Clin Epidemiol 1991; 44: 1147-1157.
Stewart WF, Lipton RB, Celentano DD, Reed ML. prevalence of migraine headache in the United States. JAMA 1992; 267: 64-69.
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