Mortality from neurodegenerative disease and exposure to extremely low-frequency magnetic fields: 31 years of observations on Swiss railway employees

AIMS: The objective of the present study was to investigate the relationship between extremely low-frequency magnetic field (ELF-MF) exposure and mortality from several neurodegenerative conditions in Swiss railway employees. METHODS: We studied a cohort of 20,141 Swiss railway employees with 464,129 person-years of follow-up between 1972 and 2002. For each individual, cumulative exposure was calculated from on-site measurements and modelling of past exposure. We compared cause-specific mortality in highly exposed train drivers (mean exposure: 21 microT) with less exposed occupational groups (for example station masters: 1 microT). RESULTS: The hazard ratio for train drivers compared to station masters was 1.96 [95% confidence interval (CI) = 0.98-3.92] for senile dementia and 3.15 (95% CI = 0.90-11.04) for Alzheimer's disease. For every 10 microT years of cumulative exposure senile dementia mortality increased by 5.7% (95% CI = 1.3-10.4), Alzheimer's disease by 9.4% (95% CI = 2.7-16.4) and amyotrophic lateral sclerosis by 2.1% (95% CI = -6.8 to 11.7). There was no evidence for an increase in mortality from Parkinson's disease and multiple sclerosis. CONCLUSIONS: This study suggests a link between exposure to ELF-MF and Alzheimer's disease and indicates that ELF-MF might act in later stages of the disease process.

Early prognostic value of the medical emergency team calling criteria in patients admitted to intensive care from the emergency department

OBJECTIVES: To evaluate the early prognostic value of the medical emergency team (MET) calling criteria in patients admitted to intensive care from the emergency department. DESIGN: Retrospective cohort study. SETTING: Emergency department and department of intensive care medicine of a 960-bed tertiary referral hospital. PATIENTS: A total of 452 consecutive adult patients admitted to intensive care from the emergency department from January 1, 2004, to December 31, 2004. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: MET calling criteria were retrospectively extracted from patient records, and the sum of positive criteria was calculated for the first hour in the emergency department (METinitial) and subsequently until admission to the intensive care unit in a series of time periods. The maximum number of positive MET calling criteria during any time period was defined (METmax). Logistic regression analysis revealed METinitial (odds ratio [OR] 3.392, 95% confidence interval [CI] 2.534-4.540) and METmax (OR 3.867, 95% CI 2.816-5.312) to be significant predictors of hospital mortality, the need for mechanical ventilation (METinitial: OR 4.151, 95% CI 3.53-4.652; METmax: OR 4.292, 95% CI 3.151-5.846), and occurrence of hemodynamic instability (METinitial: OR 1.548, 95% CI 1.258-1.905; METmax: OR 1.685, 95% CI 1.355-2.094) (all p < .0001). CONCLUSIONS: MET scores collected early after admission or throughout the stay in the emergency department allow for simple identification of patients at risk of unfavorable outcome during the subsequent intensive care unit stay.