TY - JOUR
T1 - Epilepsy is not statistically associated with systemic sclerosis but significantly impacts on mortality
T2 - A real-world epidemiological survey-based study
AU - Watad, Abdulla
AU - Bragazzi, Nicola Luigi
AU - Brigo, Francesco
AU - Adawi, Mohammad
AU - Mahroum, Naim
AU - Comaneshter, Doron
AU - Amital, Daniela
AU - Cohen, Arnon D.
AU - Amital, Howard
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2018/10
Y1 - 2018/10
N2 - Little is known about the relationship between epilepsy and SSc. Our study included 2431 SSc patients and 12,710 age- and sex-matched controls. In 209 controls (1.6%) and 66 SSc patients (2.7%), epilepsy diagnosis was made (not significant). In the multivariate logistic regression analysis, higher age (OR 1.01 [95% CI 1.00–1.02], p = 0.0207) was associated with an increased risk of epilepsy, whereas high vs low socioeconomic status (SES) (OR = 0.62 [95% CI 0.42–0.92], p = 0.0189) was associated with a low risk of epilepsy. In the Cox multivariate survival analysis, higher age (HR = 1.06 [95% CI 1.06–1.07], p < 0.0001), epilepsy (HR = 2.28 [95% CI 1.77–2.94], p < 0.0001) and SSc (HR = 2.37 [95% CI 2.07–2.71], p < 0.0001) were independent risk factors for all-cause mortality. In contrast, BMI >30 kg/m2 vs BMI <20 kg/m2 (HR = 0.69 [95% CI 0.59–0.81, p < 0.0001]), female gender (HR = 0.73 [95% CI 0.65–0.83], p < 0.0001) and high SES (HR = 0.72 [95% CI 0.63–0.82], p < 0.0001) were protective factors for mortality. SSc-related autoantibodies were not associated with the risk of epilepsy. In conclusion, whilst epilepsy and SSc are not significantly associated, epilepsy is a predictor of mortality in SSc patients.
AB - Little is known about the relationship between epilepsy and SSc. Our study included 2431 SSc patients and 12,710 age- and sex-matched controls. In 209 controls (1.6%) and 66 SSc patients (2.7%), epilepsy diagnosis was made (not significant). In the multivariate logistic regression analysis, higher age (OR 1.01 [95% CI 1.00–1.02], p = 0.0207) was associated with an increased risk of epilepsy, whereas high vs low socioeconomic status (SES) (OR = 0.62 [95% CI 0.42–0.92], p = 0.0189) was associated with a low risk of epilepsy. In the Cox multivariate survival analysis, higher age (HR = 1.06 [95% CI 1.06–1.07], p < 0.0001), epilepsy (HR = 2.28 [95% CI 1.77–2.94], p < 0.0001) and SSc (HR = 2.37 [95% CI 2.07–2.71], p < 0.0001) were independent risk factors for all-cause mortality. In contrast, BMI >30 kg/m2 vs BMI <20 kg/m2 (HR = 0.69 [95% CI 0.59–0.81, p < 0.0001]), female gender (HR = 0.73 [95% CI 0.65–0.83], p < 0.0001) and high SES (HR = 0.72 [95% CI 0.63–0.82], p < 0.0001) were protective factors for mortality. SSc-related autoantibodies were not associated with the risk of epilepsy. In conclusion, whilst epilepsy and SSc are not significantly associated, epilepsy is a predictor of mortality in SSc patients.
KW - Big data
KW - Claim database
KW - Cross-sectional study
KW - Epilepsy
KW - Systemic sclerosis
UR - http://www.scopus.com/inward/record.url?scp=85062415077&partnerID=8YFLogxK
U2 - 10.1016/j.berh.2019.02.013
DO - 10.1016/j.berh.2019.02.013
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C2 - 31203929
AN - SCOPUS:85062415077
SN - 1521-6942
VL - 32
SP - 710
EP - 717
JO - Best Practice and Research: Clinical Rheumatology
JF - Best Practice and Research: Clinical Rheumatology
IS - 5
ER -