Background: Guillain-Barre syndrome (GBS) is an acute, frequently severe and fulminant polyradiculoneuropathy that is autoimmune in nature. Incidence and predominant subtypes of GBS differ geographically. Electrophysiology has important role in subtyping GBS. This study aimed to evaluate the electrophysiological findings in patient of GBS. Methods: This was a hospital based cross-sectional descriptive study and conducted at the Department of Neurology in Sir Salimullah Medical College & Mitford Hospital, Dhaka and National Institute of Neurosciences and Hospital, Dhaka during July 2017 to June 2018. Clinically diagnosed 53 patients with GBS were enrolled according to prefixed selection criteria. Detail history taking, clinical examination, nerve conduction study and cerebrospinal fluid (CSF) examination was performed in all cases. Clinical findings, nerve conduction study (NCS) parameters, CSF findings and demographic profiles were evaluated. Results: Mean ± SD age of presentation was 41.64 (±14.56) years and median age was 42.0 years. There were total 33(62 %) males and 20 (38 %) females with male: female ratio of 1.7:1. Clinically two-thirds(62.3%) of patients had both upper and lower limb involvement (62.3%), facial weakness was in 32.1% and 13.2% had bulbar involvement. Acute inflammatory demyelinating polyneuropathy (AIDP), acute motor axonal neuropathy (AMAN) and acute motor sensory axonal neuropathy (AMSAN)were found to be 51%, 32% and 17% respectively. CSFprotein was elevated in most of the patients with a range of 16-725 mg/dl. Highest CSF protein was found in AIDP. Conclusion: Electrophysiological studies play an important role in the early detection; characterization of GBS.In this study, the commonest type of GBS was AIDP. Higher levels of CSF protein, absent H-reflex and Fresponse, sural sparing and unexcitable nerves are more frequently present in AIDP. BIRDEM Med J 2022; 12(1): 16-21

Background: Carpal tunnel syndrome (CTS) is a chronic disabling condition of hands, occurring due to occupational and non-occupational risk factors, including high body mass index (BMI). This study was intended to find out the association of BMI with CTS. Methods: This was a cross-sectional analytical study was conducted in four teaching hospitals in Dhaka, Bangladesh from June 2017 to May 2018. Patients with electrophysiologically documented CTS were taken as cases and age matched healthy individuals without CTS were taken as controls. Following clinical and electrodiagnostic confirmation, data were collected from total 63 patients and 63 controls. Results: Mean BMI was 29.3±4.8 Kg/m2 in CTS group, which was higher than the control (24.1±3.3 Kg/m2). In CTS group, 56 (88.9%) had high BMI and 7 (11.1%) had normal BMI. On the other hand. 23 (36.9%) subjects in control group had high BMI and 40 (63.1%) had normal BMI. High BMI was significantly associated with carpal tunnel syndrome (p <0.01) but ncreasing BMI was not associated with severity of CTS (p 0.654). Conclusion: High BMI has a significant association with CTS but not with CTS severity. BIRDEM Med J 2021; 11(3): 179-185