Ilse van Beusekom1,2, Ferishta Bakhshi-Raiez1,2, Marike van der Schaaf3,4, Wim B Busschers1,2, Nicolette F de Keizer1,2, Dave A Dongelmans2,5. 1. Department of Medical Informatics, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands. 2. National Intensive Care Evaluation (NICE) foundation, Amsterdam, The Netherlands. 3. Department of Rehabilitation, Amsterdam UMC, Amsterdam Movement Sciences, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands. 4. Centre of Applied Research, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, The Netherlands. 5. Department of Intensive Care Medicine, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands.
Abstract
OBJECTIVES: To describe the types and prevalence of chronic conditions in an ICU population and a population-based control group during the year before ICU admission and to quantify the risk of developing new chronic conditions in ICU patients compared with the control group. DESIGN: We conducted a retrospective cohort study, combining a national health insurance claims database and a national quality registry for ICUs. Claims data in the timeframe 2012-2014 were combined with clinical data of patients who had been admitted to an ICU during 2013. To assess the differences in risk of developing new chronic conditions, ICU patients were compared with a population-based control group using logistic regression modeling. SETTING: Eighty-one Dutch ICUs. PATIENTS: All patients admitted to an ICU during 2013. A population-based control group was created, and weighted on the age, gender, and socio-economic status of the ICU population. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: ICU patients (n = 56,760) have more chronic conditions compared with the control group (n = 75,232) during the year before ICU admission (p < 0.0001). After case-mix adjustment ICU patients had a higher risk of developing chronic conditions, with odds ratios ranging from 1.67 (CI, 1.29-2.17) for asthma to 24.35 (CI, 14.00-42.34) for epilepsy, compared with the control group. CONCLUSIONS: Due to the high prevalence of chronic conditions and the increased risk of developing new chronic conditions, ICU follow-up care is advised and may focus on the identification and treatment of the new developed chronic conditions.
OBJECTIVES: To describe the types and prevalence of chronic conditions in an ICU population and a population-based control group during the year before ICU admission and to quantify the risk of developing new chronic conditions in ICU patients compared with the control group. DESIGN: We conducted a retrospective cohort study, combining a national health insurance claims database and a national quality registry for ICUs. Claims data in the timeframe 2012-2014 were combined with clinical data of patients who had been admitted to an ICU during 2013. To assess the differences in risk of developing new chronic conditions, ICU patients were compared with a population-based control group using logistic regression modeling. SETTING: Eighty-one Dutch ICUs. PATIENTS: All patients admitted to an ICU during 2013. A population-based control group was created, and weighted on the age, gender, and socio-economic status of the ICU population. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: ICU patients (n = 56,760) have more chronic conditions compared with the control group (n = 75,232) during the year before ICU admission (p < 0.0001). After case-mix adjustment ICU patients had a higher risk of developing chronic conditions, with odds ratios ranging from 1.67 (CI, 1.29-2.17) for asthma to 24.35 (CI, 14.00-42.34) for epilepsy, compared with the control group. CONCLUSIONS: Due to the high prevalence of chronic conditions and the increased risk of developing new chronic conditions, ICU follow-up care is advised and may focus on the identification and treatment of the new developed chronic conditions.
Authors: Ilse van Beusekom; Ferishta Bakhshi-Raiez; Nicolette F de Keizer; Marike van der Schaaf; Fabian Termorshuizen; Dave A Dongelmans Journal: PLoS One Date: 2019-05-23 Impact factor: 3.240
Authors: Ian J Stewart; Eduard Poltavskiy; Jeffrey T Howard; Jud C Janak; Warren Pettey; Lee Ann Zarzabal; Lauren E Walker; Carl A Beyer; Alan Sim; Ying Suo; Andrew Redd; Kevin K Chung; Adi Gundlapalli Journal: J Gen Intern Med Date: 2020-09-21 Impact factor: 5.128
Authors: Mel E Major; Daniela Dettling-Ihnenfeldt; Stephan P J Ramaekers; Raoul H H Engelbert; Marike van der Schaaf Journal: Crit Care Date: 2021-08-05 Impact factor: 9.097