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Background: Factors associated with delirium among community-dwelling older adults have been poorly studied. Our aim was to describe the prevalence of predisposing and precipitating factors for delirium among patients admitted for delirium and to assess whether these factors were appropriately recognized at the first patient assessment at hospital., Methods: Consecutive community-dwelling individuals admitted to three geriatric acute care units with a confirmed initial diagnosis of delirium were prospectively included. An independent investigator recorded, using a predefined form, any acute medical condition considered by the attending geriatrician to be a precipitating factor, at the first patient assessment and at the end of his stay in acute care., Results: A total of 208 patients were included, 80.0% had a pre-existing cognitive or neurological disorder, or both. The most frequent precipitating factor found were infections (49.0% of all patients, mainly lung and urinary tract infections), followed by drugs (30.8%), dehydration (26.4%) and electrolytic disturbances (18.7%, mostly hyponatremia). 91% of patients had a cerebral imagery, but acute neurological conditions were found in only 18.3%. Fewer precipitating factors were found at first than at final assessment (1.4 (95%CI 1.3-1.6) versus 1.9 (95%CI 1.8-2.0) respectively, p<0.001). This difference was significant for all main categories of precipitating factors., Conclusions: Infections, followed by drugs and hydro-electrolytic disorders seem to be the most frequent precipitating factors for delirium in community-dwelling elderly individuals. Early diagnostic and management of precipitating factors in these patients should be improved, as a significant number of them are missed at the initial assessment.

Background: Risk prediction of acute mountain sickness, high altitude (HA) pulmonary or cerebral edema is currently based on clinical assessment. Our objective was to develop a risk prediction score of Severe High Altitude Illness (SHAI) combining clinical and physiological factors. Study population was 1017 sea-level subjects who performed a hypoxia exercise test before a stay at HA. The outcome was the occurrence of SHAI during HA exposure. Two scores were built, according to the presence (PRE, n = 537) or absence (ABS, n = 480) of previous experience at HA, using multivariate logistic regression. Calibration was evaluated by Hosmer-Lemeshow chisquare test and discrimination by Area Under ROC Curve (AUC) and Net Reclassification Index (NRI)., Results: The score was a linear combination of history of SHAI, ventilatory and cardiac response to hypoxia at exercise, speed of ascent, desaturation during hypoxic exercise, history of migraine, geographical location, female sex, age under 46 and regular physical activity. In the PRE/ABS groups, the score ranged from 0 to 12/10, a cut-off of 5/5.5 gave a sensitivity of 87%/87% and a specificity of 82%/73%. Adding physiological variables via the hypoxic exercise test improved the discrimination ability of the models: AUC increased by 7% to 0.91 (95%CI: 0.87-0.93) and 17% to 0.89 (95%CI: 0.85-0.91), NRI was 30% and 54% in the PRE and ABS groups respectively. A score computed with ten clinical, environmental and physiological factors accurately predicted the risk of SHAI in a large cohort of sea-level residents visiting HA regions.