Background: Simultaneous multiple intracerebral haemorrhages (SMICH) is hemorrhage in different arterial territories and are a rare clinical entity. The primary cause of single ICH is hypertension; however, the causes and risk factors of simultaneous multiple ICH are still unknown. Aim: To clarify the aetiology, risk factors and functional outcome of SMICH compared with solitary intracerebral haemorrhages (ICH). Materials and Methods: A total of 718 consecutive patients with spontaneous ICH admitted to our hospital were prospectively studied. Nine SMICH cases were identified, and 19 risk factors, clinical and neuroimaging variables were compared between SMICH and solitary ICH cases using the unpaired t-test, chi-square test, and multiple logistic regression. Result: 709 (98.75%) patients with ICH and 9 (1.25%) patients with SMICH were enrolled in the study. The age, sex distribution, and other associated risk factors were comparable between the groups (all P>0.05). By SMASH-U classification, arterial hypertension was identified in 6 (66.7%), and it was the most common cause in the SMICH group. Bilateral thalamic or putamenal haemorrhages (33.3% versus 33.3%) were the most common combinations of simultaneous bleedings. Age and NIHSS at admission were associated with 90-day mortality in multivariable analyses (OR 1.018; 95% CI, 1.000-1.036; p=0.044; versus OR 1.080; 95% CI, 1.029-1.135; p=0.002), but GCS was not (OR 0.834; 95% CI, 0.734-0.948; p=0.006). Conclusion Patients with SMICH have risk factors and clinical characteristics similar to those of patients with solitary ICH, but they have a much poorer outcome.

Background: Carpal tunnel syndrome (CTS) is a disease caused by compression of the median nerve in the carpal tunnel and is considered to have an individual, occupational, and socioeconomic impact. Aim: To study the risk factors for CTS among hospital floor cleaners. Materials and Methods: A cross-sectional study was conducted among floor cleaners at the Third State Central Hospital. Clinical and electrophysiological severity of CTS were evaluated using standardised scales, and symptoms were assessed with the self-administered Boston Questionnaire (BQ). Demographic and non-occupational factors, as well as durations of current and previous occupations, were recorded. The diagnosis was confirmed by electrophysiological analysis. Each assessment was categorised as mild, moderate, or severe. Statistical analysis was performed using SPSS 27.0. Result: The prevalence of CTS among floor cleaners was 39% (32/82) (p < 0.001). In the simple logistic regression, comorbidities (OR, 2.50 [95% CI, 1.02-6.16]), smoking (OR, 3.90 [95% CI, 1.12-13.57]) and in the multiple logistic regression, only comorbidities (OR, 2.90 [95% CI, 1.03-8.16]) were the predictors of CTS. Conclusion The risk of developing CTS among hospital floor cleaners is influenced by BMI, smoking, and comorbidities, including diabetes mellitus.