BACKGROUND: Studies addressing relapse rates conflate relapse into chronic migraine (CM) and medication overuse (MO), and the consequent need to repeat withdrawal. We aim to identify 12-months predictors of relapse into CM (based on headaches frequency) separately from occurrence of another structured withdrawal. METHODS: Hospitalized patients with CM-MO under withdrawal were enrolled. Candidate predictors included demographic, disability, quality of life, depression scores, general self-efficacy, social support, headaches frequency and intensity, class of overused medications, history of withdrawal treatment in the three years prior to enrollment, attendance to emergency room (ER) between enrollment and follow-up, nonattendance to outpatient neurological examinations. Logistic regressions was used to address the significant predictors for the two outcomes. RESULTS: Complete data were available for 177 patients: 60 (33.9%) relapsed into CM, 38 (21.5%) underwent another withdrawal treatment. Recent history of withdrawal treatments, ER admission after discharge and high baseline BDI-II scores were significant predictors in both models. In addition to this, high baseline headache frequency predicted relapse into another withdrawal treatment. CONCLUSIONS: Predictors or relapse into CM and of occurrence of another withdrawal by 12-months are somehow similar. It is important to assess presence of recent previous withdrawal treatments and to plan regular follow-up afterwards, in particular for patients with high headache frequency and relevant mood disturbances: in this way, it will be more likely that situations requiring further structured withdrawal treatments can be identified before patients have to refer to ER.
BACKGROUND: Studies addressing relapse rates conflate relapse into chronic migraine (CM) and medication overuse (MO), and the consequent need to repeat withdrawal. We aim to identify 12-months predictors of relapse into CM (based on headaches frequency) separately from occurrence of another structured withdrawal. METHODS: Hospitalized patients with CM-MO under withdrawal were enrolled. Candidate predictors included demographic, disability, quality of life, depression scores, general self-efficacy, social support, headaches frequency and intensity, class of overused medications, history of withdrawal treatment in the three years prior to enrollment, attendance to emergency room (ER) between enrollment and follow-up, nonattendance to outpatient neurological examinations. Logistic regressions was used to address the significant predictors for the two outcomes. RESULTS: Complete data were available for 177 patients: 60 (33.9%) relapsed into CM, 38 (21.5%) underwent another withdrawal treatment. Recent history of withdrawal treatments, ER admission after discharge and high baseline BDI-II scores were significant predictors in both models. In addition to this, high baseline headache frequency predicted relapse into another withdrawal treatment. CONCLUSIONS: Predictors or relapse into CM and of occurrence of another withdrawal by 12-months are somehow similar. It is important to assess presence of recent previous withdrawal treatments and to plan regular follow-up afterwards, in particular for patients with high headache frequency and relevant mood disturbances: in this way, it will be more likely that situations requiring further structured withdrawal treatments can be identified before patients have to refer to ER.
Authors: Andrea Negro; Martina Curto; Luana Lionetto; Simona Guerzoni; Luigi Alberto Pini; Paolo Martelletti Journal: Curr Treat Options Neurol Date: 2017-08-15 Impact factor: 3.598
Authors: Licia Grazzi; Emanuela Sansone; Alberto Raggi; Domenico D'Amico; Andrea De Giorgio; Matilde Leonardi; Laura De Torres; Francisco Salgado-García; Frank Andrasik Journal: J Headache Pain Date: 2017-02-04 Impact factor: 7.277