Home » Delirium/epidemiology
Abstract
Rev Bras Ter Intensiva. 2019;31(4):536-540
DOI 10.5935/0103-507X.20190064
To describe the occurrence of delirium in cancer patients admitted to the intensive care unit according to clinical and demographic characteristics.
A retrospective study was conducted with 135 adults admitted to the intensive care unit of a public cancer hospital in the city of Rio de Janeiro, Brazil, between January and March 2016. Fisher's exact test and the linear association test were used to identify statistically significant associations between the occurrence of delirium and categorical and ordinal variables, respectively, considering a p-value < 0.05.
The overall occurrence of delirium was 39.3%. Delirium was more frequent among individuals aged 60 years or older and those who required extensive assistance or were bedbound, were admitted to the intensive care unit for clinical reasons, were using sedative drugs, were undergoing chemotherapy, and those who remained 8 or more days in the intensive care unit. Considering only patients on mechanical ventilation, the overall occurrence of delirium was 64.6%, and only a length of stay in the intensive care unit ≥ 8 days showed a statistically significant association with delirium.
The occurrence of delirium in critically ill cancer patients is high. When only those on mechanical ventilation are considered, the occurrence of delirium is even greater.
Abstract
Rev Bras Ter Intensiva. 2019;31(4):536-540
DOI 10.5935/0103-507X.20190064
To describe the occurrence of delirium in cancer patients admitted to the intensive care unit according to clinical and demographic characteristics.
A retrospective study was conducted with 135 adults admitted to the intensive care unit of a public cancer hospital in the city of Rio de Janeiro, Brazil, between January and March 2016. Fisher's exact test and the linear association test were used to identify statistically significant associations between the occurrence of delirium and categorical and ordinal variables, respectively, considering a p-value < 0.05.
The overall occurrence of delirium was 39.3%. Delirium was more frequent among individuals aged 60 years or older and those who required extensive assistance or were bedbound, were admitted to the intensive care unit for clinical reasons, were using sedative drugs, were undergoing chemotherapy, and those who remained 8 or more days in the intensive care unit. Considering only patients on mechanical ventilation, the overall occurrence of delirium was 64.6%, and only a length of stay in the intensive care unit ≥ 8 days showed a statistically significant association with delirium.
The occurrence of delirium in critically ill cancer patients is high. When only those on mechanical ventilation are considered, the occurrence of delirium is even greater.
Abstract
Rev Bras Ter Intensiva. 2018;30(1):50-56
DOI 10.5935/0103-507X.20180010
To describe the incidence of and risk factors for delirium in the intensive care unit of a tertiary care teaching hospital in Argentina and to conduct the first non-European study exploring the performance of the PREdiction of DELIRium in ICu patients (PRE-DELIRIC) model.
Prospective observational study in a 20-bed intensive care unit of a tertiary care teaching hospital in Buenos Aires, Argentina. The PRE-DELIRIC model was applied to 178 consecutive patients within 24 hours of admission to the intensive care unit; delirium was assessed with the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU).
The mean age was 64.3 ± 17.9 years. The median time of stay in the intensive care unit was 6 (range, 2 - 56) days. Of the total number of patients, 49/178 (27.5%) developed delirium, defined as a positive CAM-ICU assessment, during their stay in the intensive care unit. Patients in the delirium group were significantly older and had a significantly higher Acute Physiological and Chronic Health Evaluation II (APACHE II) score. The mortality rate in the intensive care unit was 14.6%; no significant difference was observed between the two groups. Predictive factors for the development of delirium were increased age, prolonged intensive care unit stay, and opioid use. The area under the curve for the PRE-DELIRIC model was 0.83 (95%CI; 0.77 - 0.90).
The observed incidence of delirium highlights the importance of this problem in the intensive care unit setting. In this first study conducted outside Europe, PRE-DELIRIC accurately predicted the development of delirium.
Abstract
Rev Bras Ter Intensiva. 2018;30(1):50-56
DOI 10.5935/0103-507X.20180010
To describe the incidence of and risk factors for delirium in the intensive care unit of a tertiary care teaching hospital in Argentina and to conduct the first non-European study exploring the performance of the PREdiction of DELIRium in ICu patients (PRE-DELIRIC) model.
Prospective observational study in a 20-bed intensive care unit of a tertiary care teaching hospital in Buenos Aires, Argentina. The PRE-DELIRIC model was applied to 178 consecutive patients within 24 hours of admission to the intensive care unit; delirium was assessed with the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU).
The mean age was 64.3 ± 17.9 years. The median time of stay in the intensive care unit was 6 (range, 2 - 56) days. Of the total number of patients, 49/178 (27.5%) developed delirium, defined as a positive CAM-ICU assessment, during their stay in the intensive care unit. Patients in the delirium group were significantly older and had a significantly higher Acute Physiological and Chronic Health Evaluation II (APACHE II) score. The mortality rate in the intensive care unit was 14.6%; no significant difference was observed between the two groups. Predictive factors for the development of delirium were increased age, prolonged intensive care unit stay, and opioid use. The area under the curve for the PRE-DELIRIC model was 0.83 (95%CI; 0.77 - 0.90).
The observed incidence of delirium highlights the importance of this problem in the intensive care unit setting. In this first study conducted outside Europe, PRE-DELIRIC accurately predicted the development of delirium.
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