Anna Aronsson
Lecturer at Department of Surgical Sciences; Anaesthesiology and Intensive Care
- E-mail:
- anna.aronsson@uu.se
- Visiting address:
- Akademiska sjukhuset, ingång 70, 1tr
751 85 Uppsala - Postal address:
- Akademiska sjukhuset, ingång 70, 1tr
751 85 UPPSALA
Publications
Recent publications
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The long-term conditional mortality rate in older ICU patients compared to the general population
Part of Critical Care, 2024
- DOI for The long-term conditional mortality rate in older ICU patients compared to the general population
- Download full text (pdf) of The long-term conditional mortality rate in older ICU patients compared to the general population
-
2024
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Part of Critical Care, 2022
- DOI for Optimized diagnosis-based comorbidity measures for all-cause mortality prediction in a national population-based ICU population
- Download full text (pdf) of Optimized diagnosis-based comorbidity measures for all-cause mortality prediction in a national population-based ICU population
-
Part of Intensive & Critical Care Nursing, 2022
- DOI for Healthcare workers' structured daily reflection on patient safety, workload and work environment in intensive care. A descriptive retrospective study
- Download full text (pdf) of Healthcare workers' structured daily reflection on patient safety, workload and work environment in intensive care. A descriptive retrospective study
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Multivariable models using administrative data and biomarkers to adjust for case mix in the ICU
Part of Acta Anaesthesiologica Scandinavica, p. 751-760, 2019
All publications
Articles in journal
-
The long-term conditional mortality rate in older ICU patients compared to the general population
Part of Critical Care, 2024
- DOI for The long-term conditional mortality rate in older ICU patients compared to the general population
- Download full text (pdf) of The long-term conditional mortality rate in older ICU patients compared to the general population
-
Part of Critical Care, 2022
- DOI for Optimized diagnosis-based comorbidity measures for all-cause mortality prediction in a national population-based ICU population
- Download full text (pdf) of Optimized diagnosis-based comorbidity measures for all-cause mortality prediction in a national population-based ICU population
-
Part of Intensive & Critical Care Nursing, 2022
- DOI for Healthcare workers' structured daily reflection on patient safety, workload and work environment in intensive care. A descriptive retrospective study
- Download full text (pdf) of Healthcare workers' structured daily reflection on patient safety, workload and work environment in intensive care. A descriptive retrospective study
-
Multivariable models using administrative data and biomarkers to adjust for case mix in the ICU
Part of Acta Anaesthesiologica Scandinavica, p. 751-760, 2019