인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Background Multiple sclerosis (MS) is the most frequent autoimmune neurological disease in the young population. Vesico-sphincter disorders are frequent in the course of the disease; it has been reported that 90% of MS patients will develop a lower urinary tract disorder within 18 years of the diagnosis. Methods The aim of this study is to identify the frequency, severity, diagnosis, and treatment of overactive bladder (OAB) in MS patients at the Mohammed VI hospital university in Oujda-Morocco. It is a cross-sectional study. The population was collected in neurology department of Mohammed VI hospital university in Oujda-Morocco. The population cohort consisted of patients diagnosed with multiple sclerosis, which were invited to the urology department where they underwent urinary screening and completed a form of questions regarding the frequency and severity of OAB and its influence on quality of life. Result In our study, the mean age of the patients was 43 years, and our sample was composed of 48% males and 52% females, and the most frequent lower urinary tract symptom was urgency (57%), followed by urinary frequency (29%) and urge incontinence (14%). The recurrent-remittent form was the most frequent (62%), followed by the primary progressive form (24%) and the secondary progressive recurrent form (14%). Among the patients, 33% presented a mild symptomatology, 48% moderate, and 19% severe. In this study, it was found that the intensity of urinary symptoms and the MS disability score were positively correlated with quality of life and disease duration. Conclusion The urgency was the major symptom of the lower urinary tract, and the MS disability score and the severity of OAB were associated with the quality of life of the patients. The urological evaluation of patients with multiple sclerosis should be performed routinely to identify OAB and to treat this condition appropriately.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.