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Porter LL, Simons KS, Corsten S, Westerhof B, Rettig TCD, Ewalds E, Janssen I, Jacobs C, van Santen S, Slooter AJC, van der Woude MCE, van der Hoeven JG, Zegers M, van den Boogaard M. Changes in quality of life 1 year after intensive care: a multicenter prospective cohort of ICU survivors. Crit Care 2024; 28:255. [PMID: 39054511 PMCID: PMC11271204 DOI: 10.1186/s13054-024-05036-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 07/13/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND With survival rates of critical illness increasing, quality of life measures are becoming an important outcome of ICU treatment. Therefore, to study the impact of critical illness on quality of life, we explored quality of life before and 1 year after ICU admission in different subgroups of ICU survivors. METHODS Data from an ongoing prospective multicenter cohort study, the MONITOR-IC, were used. Patients admitted to the ICU in one of eleven participating hospitals between July 2016 and June 2021 were included. Outcome was defined as change in quality of life, measured using the EuroQol five-dimensional (EQ-5D-5L) questionnaire, and calculated by subtracting the EQ-5D-5L score 1 day before hospital admission from the EQ-5D-5L score 1 year post-ICU. Based on the minimal clinically important difference, a change in quality of life was defined as a change in EQ-5D-5L score of ≥ 0.08. Subgroups of patients were based on admission diagnosis. RESULTS A total of 3913 (50.6%) included patients completed both baseline and follow-up questionnaires. 1 year post-ICU, patients admitted after a cerebrovascular accident, intracerebral hemorrhage, or (neuro)trauma, on average experienced a significant decrease in quality of life. Conversely, 11 other subgroups of ICU survivors reported improvements in quality of life. The largest average increase in quality of life was seen in patients admitted due to respiratory disease (mean 0.17, SD 0.38), whereas the largest average decrease was observed in trauma patients (mean -0.13, SD 0.28). However, in each of the studied 22 subgroups there were survivors who reported a significant increase in QoL and survivors who reported a significant decrease in QoL. CONCLUSIONS This large prospective multicenter cohort study demonstrated the diversity in long-term quality of life between, and even within, subgroups of ICU survivors. These findings emphasize the need for personalized information and post-ICU care. TRIAL REGISTRATION The MONITOR-IC study was registered at ClinicalTrials.gov: NCT03246334 on August 2nd 2017.
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Affiliation(s)
- Lucy L Porter
- Department of Intensive Care, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
- Department of Intensive Care, Jeroen Bosch Hospital, 's Hertogenbosch, The Netherlands
| | - Koen S Simons
- Department of Intensive Care, Jeroen Bosch Hospital, 's Hertogenbosch, The Netherlands
| | - Stijn Corsten
- Department of Intensive Care, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Brigitte Westerhof
- Department of Intensive Care, Rijnstate Hospital, Arnhem, The Netherlands
| | - Thijs C D Rettig
- Department of Anesthesiology, Intensive Care and Pain Medicine, Amphia Hospital, Breda, The Netherlands
| | - Esther Ewalds
- Department of Intensive Care, Bernhoven Hospital, Uden, The Netherlands
| | - Inge Janssen
- Department of Intensive Care, Maas Hospital Pantein, Boxmeer, The Netherlands
| | - Crétien Jacobs
- Department of Intensive Care, Elkerliek Hospital, Helmond, The Netherlands
| | - Susanne van Santen
- Department of Intensive Care, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Arjen J C Slooter
- Departments of Psychiatry and Intensive Care Medicine, and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Neurology, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
| | - Margaretha C E van der Woude
- Zuyderland Medical Center, Department of Intensive Care, Heerlen, The Netherlands
- Department of Intensive Care, Amsterdam University Medical Center, Location AC, Amsterdam, The Netherlands
| | - Johannes G van der Hoeven
- Department of Intensive Care, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Marieke Zegers
- Department of Intensive Care, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Mark van den Boogaard
- Department of Intensive Care, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
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Heesakkers H, van der Hoeven JG, Corsten S, Janssen I, Ewalds E, Simons KS, de Blauw M, Rettig TCD, Jacobs C, van Santen S, Slooter AJC, van der Woude MCE, Zegers M, van den Boogaard M. One-year outcomes in COVID-19 and non-COVID-19 intensive care unit survivors. J Crit Care 2024; 84:154858. [PMID: 39003923 DOI: 10.1016/j.jcrc.2024.154858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 07/02/2024] [Accepted: 07/03/2024] [Indexed: 07/16/2024]
Abstract
PURPOSE To determine differences in one-year multi-domain health outcomes in COVID-19 and non-COVID-19 intensive care unit (ICU) survivors. MATERIALS AND METHODS Adult ICU survivors treated for COVID-19 were compared to a control group consisting of survivors admitted for respiratory distress due to other causes, i.e. non-COVID-19 ARDS or pneumonia. Occurrence of physical (frailty, fatigue, physical symptoms), mental (anxiety, depression, post-traumatic stress) and cognitive symptoms, and quality of life (QoL) scores were measured, using validated questionnaires, before and one year after ICU treatment. RESULTS In total, 506 COVID-19 survivors could be compared to 228 non-COVID-19 survivors. At one-year follow-up, COVID-19 ICU survivors had less physical (76.2% vs. 86.9%, p = 0.001) and mental symptoms (32.0% vs. 47.1%, p < 0.001) than the control group. Cognitive symptoms were comparable (22.5% vs. 17.2%, p = 0.12). However, compared to pre-ICU health symptoms and scores, COVID-19 survivors experienced an increase in symptom occurrence rates in all domains and a decrease in QoL, whereas the control group only experienced an increase in mental and cognitive symptoms, with a similar QoL at one-year follow-up. CONCLUSIONS COVID-19 ICU survivors experience equal or less health problems but a greater decline in QoL one year after ICU admission compared to non-COVID-19 ARDS or pneumonia survivors.
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Affiliation(s)
- Hidde Heesakkers
- Radboud university medical center, Department Intensive Care, Nijmegen, the Netherlands.
| | | | - Stijn Corsten
- Department of Intensive Care, Canisius Wilhelmina Hospital, Nijmegen, the Netherlands
| | - Inge Janssen
- Department of Intensive Care, Maasziekenhuis Pantein, Beugen, the Netherlands
| | - Esther Ewalds
- Department of Intensive Care, Bernhoven Hospital, Uden, the Netherlands
| | - Koen S Simons
- Department of Intensive Care, Jeroen Bosch Hospital, 's-Hertogenbosch, the Netherlands
| | - Maaike de Blauw
- Department of Intensive Care, Rijnstate Hospital, Arnhem, the Netherlands
| | - Thijs C D Rettig
- Department of Anesthesiology, Intensive Care and Pain Medicine, Amphia Hospital, Breda, the Netherlands
| | - Crétien Jacobs
- Department of Intensive Care, Elkerliek Hospital, Helmond, the Netherlands
| | - Susanne van Santen
- Department of Intensive Care, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Arjen J C Slooter
- Departments of Psychiatry and Intensive Care and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Neurology, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
| | - Margaretha C E van der Woude
- Department of Intensive Care and department of quality and safety, Heerlen Medical Center, Heerlen, the Netherlands; Department of Intensive Care, Amsterdam UMC, location AC, Amsterdam, the Netherlands
| | - Marieke Zegers
- Radboud university medical center, Department Intensive Care, Nijmegen, the Netherlands
| | - Mark van den Boogaard
- Radboud university medical center, Department Intensive Care, Nijmegen, the Netherlands
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van Sleeuwen D, Zegers M, Ramjith J, Cruijsberg JK, Simons KS, van Bommel D, Burgers-Bonthuis D, Koeter J, Bisschops LLA, Janssen I, Rettig TCD, van der Hoeven JG, van de Laar FA, van den Boogaard M. Prediction of Long-Term Physical, Mental, and Cognitive Problems Following Critical Illness: Development and External Validation of the PROSPECT Prediction Model. Crit Care Med 2024; 52:200-209. [PMID: 38099732 PMCID: PMC10793772 DOI: 10.1097/ccm.0000000000006073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
OBJECTIVES ICU survivors often suffer from long-lasting physical, mental, and cognitive health problems after hospital discharge. As several interventions that treat or prevent these problems already start during ICU stay, patients at high risk should be identified early. This study aimed to develop a model for early prediction of post-ICU health problems within 48 hours after ICU admission. DESIGN Prospective cohort study in seven Dutch ICUs. SETTING/PATIENTS ICU patients older than 16 years and admitted for greater than or equal to 12 hours between July 2016 and March 2020. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Outcomes were physical problems (fatigue or ≥ 3 new physical symptoms), mental problems (anxiety, depression, or post-traumatic stress disorder), and cognitive impairment. Patient record data and questionnaire data were collected at ICU admission, and after 3 and 12 months, of 2,476 patients. Several models predicting physical, mental, or cognitive problems and a composite score at 3 and 12 months were developed using variables collected within 48 hours after ICU admission. Based on performance and clinical feasibility, a model, PROSPECT, predicting post-ICU health problems at 3 months was chosen, including the predictors of chronic obstructive pulmonary disease, admission type, expected length of ICU stay greater than or equal to 2 days, and preadmission anxiety and fatigue. Internal validation using bootstrapping on data of the largest hospital ( n = 1,244) yielded a C -statistic of 0.73 (95% CI, 0.70-0.76). External validation was performed on data ( n = 864) from the other six hospitals with a C -statistic of 0.77 (95% CI, 0.73-0.80). CONCLUSIONS The developed and externally validated PROSPECT model can be used within 48 hours after ICU admission for identifying patients with an increased risk of post-ICU problems 3 months after ICU admission. Timely preventive interventions starting during ICU admission and follow-up care can prevent or mitigate post-ICU problems in these high-risk patients.
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Affiliation(s)
- Dries van Sleeuwen
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marieke Zegers
- Department of Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Jordache Ramjith
- Department for Health Evidence, Biostatistics Research Group, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Koen S Simons
- Department of Intensive Care Medicine, Jeroen Bosch Hospital, 's Hertogenbosch, The Netherlands
| | - Daniëlle van Bommel
- Department of Intensive Care Medicine, Bernhoven Hospital, Uden, The Netherlands
| | | | - Julia Koeter
- Department of Intensive Care Medicine, CWZ, Nijmegen, The Netherlands
| | - Laurens L A Bisschops
- Department of Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Inge Janssen
- Department of Intensive Care Medicine, Maasziekenhuis, Boxmeer, The Netherlands
| | - Thijs C D Rettig
- Department of Anesthesiology, Intensive Care Medicine, and Pain Medicine, Amphia Hospital, Breda, The Netherlands
| | | | - Floris A van de Laar
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mark van den Boogaard
- Department of Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands
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Kooken RWJ, Tilburgs B, Ter Heine R, Ramakers B, van den Boogaard M. A multicomponent intervention program to Prevent and Reduce AgItation and phySical rEstraint use in the ICU (PRAISE): study protocol for a multicenter, stepped-wedge, cluster randomized controlled trial. Trials 2023; 24:800. [PMID: 38082351 PMCID: PMC10712112 DOI: 10.1186/s13063-023-07807-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/16/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Physical restraints remain to be commonly used in agitated intensive care unit (ICU) patients worldwide, despite a lack of evidence on efficacy and safety and reports of detrimental short and long-term consequences, such as prolonged delirium and a longer ICU length of stay. Physical restraint minimization approaches have focused mainly on educational strategies and other non-pharmacological interventions. Combining these interventions with goal-directed light sedation therapy if needed may play an important contributory role in further reducing the use of physical restraints. The aim of the study is to determine the effectiveness of a multicomponent intervention (MCI) program, combining person-centered non-pharmacological interventions with goal-directed light sedation, compared to physical restraints. METHODS A multicenter stepped-wedge cluster randomized controlled trial will be conducted in six Dutch ICUs. A power calculation based total of 480 (expected to become) agitated adult patients will be included in 26 months with a subsequent 2-year follow-up. Patients included in the control period will receive standard care with the current agitation management protocol including physical restraints. Patients included in the intervention period will be treated with the MCI program, consisting of four components, without physical restraints: education of ICU professionals, identification of patients at risk for agitation, formulation of a multidisciplinary person-centered care plan including non-pharmacological and medical interventions, and protocolized goal-directed light sedation using dexmedetomidine. Primary outcome is the number of days alive and outside of the ICU within 28 days after ICU admission. Secondary outcomes include length of hospital stay; 3-, 12-, and 24-month post-ICU quality of life; physical (fatigue, frailty, new physical problems), mental (anxiety, depression, and post-traumatic stress disorder), and cognitive health; and 1-year cost-effectiveness. A process evaluation will be conducted. DISCUSSION This will be the first multicenter randomized controlled trial determining the effect of a combination of non-pharmacological interventions and light sedation using dexmedetomidine compared to physical restraints in agitated ICU patients. The results of this study, including long-term patient-centered outcomes, will provide relevant insights to aid ICU professionals in the management of agitated patients. TRIAL REGISTRATION NCT05783505, registration date 23 March 2023.
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Affiliation(s)
- Rens W J Kooken
- Department of Intensive Care Medicine, Radboud university medical center, Nijmegen, The Netherlands.
| | - Bram Tilburgs
- Department of Intensive Care Medicine, Radboud university medical center, Nijmegen, The Netherlands.
| | - Rob Ter Heine
- Department of Pharmacy, Radboud university medical center, Nijmegen, The Netherlands
| | - Bart Ramakers
- Department of Intensive Care Medicine, Radboud university medical center, Nijmegen, The Netherlands
| | - Mark van den Boogaard
- Department of Intensive Care Medicine, Radboud university medical center, Nijmegen, The Netherlands
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Liu X, Long J, Chang Y, Gao H, Zhang X, Chen J, Hu R. Application of the whole-course care model (IWF/C Care) for postintensive care syndrome based on an early warning system in critically ill patients: a randomised controlled trial study protocol. BMJ Open 2023; 13:e073035. [PMID: 37479509 PMCID: PMC10364161 DOI: 10.1136/bmjopen-2023-073035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/23/2023] Open
Abstract
INTRODUCTION Critically ill patients are at risk of developing postintensive care syndrome (PICS), which is manifested by physical, psychological and cognitive impairment. Currently, there are no programmes that combine early warning systems with interventions for PICS. We hypothesise that a comprehensive care model for PICS based on an early warning system would reduce medical costs and the incidence of PICS. METHODS AND ANALYSIS The Intensive Care Unit (ICU) -Ward-Family/Community whole-course care (IWF/C Care) trial will be a unicentric, randomised, controlled trial. A total of 138 ICU patients from two ICUs at a university hospital in Guizhou province, China, will be enrolled in February 2023. The inclusion criteria are an age of 18 years or older, an ICU stay of more than 48 hours, provide informed consent and the ability to communicate normally. Patients will be followed for 12 months and randomised in a 1:1:1 ratio to three groups. INTERVENTIONS Patients in intervention group 1 will be assessed by the PICS early warning system within 24 hours of ICU discharge, and precise interventions will be carried out according to the results; that is, high-risk patients will receive care based on the IWF/C Care model and low-risk patients will receive routine care. All patients in intervention group 2 will receive care based on the IWF/C Care model. The control group will receive routine care. The primary endpoints are the incidence of PICS and quality of life. The secondary endpoints include the incidence of adverse events: the unplanned readmission rate, cost-effectiveness, and the experiences and feelings of patients receiving care based on the IWF/C Care model. The incidence of PICS will be measured at ICU discharge, general ward discharge, the home/community stage and 1 month and 3, 6, 9, and 12 months after discharge. ETHICS AND DISSEMINATION Ethics approval was obtained from Biomedical Research Ethics Committee of the Affiliated Hospital of Zunyi Medical University (approval number: KLL-2022-780). The results of this study will be distributed through peer-reviewed journals. TRIAL REGISTRATION NUMBER ChiCTR2300068135.
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Affiliation(s)
- Xiaohui Liu
- Department of Critical Care Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China
- School of Nursing, Zunyi Medical University, Zunyi, Guizhou, China
| | - Jianmei Long
- Department of Critical Care Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China
- School of Nursing, Zunyi Medical University, Zunyi, Guizhou, China
| | - Yonghu Chang
- School of Information Engineering, Zunyi Medical University, Zunyi, Guizhou, China
| | - Huiming Gao
- Department of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China
| | - Xia Zhang
- Department of Critical Care Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China
| | - Junxi Chen
- Department of Critical Care Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China
| | - Rujun Hu
- Department of Critical Care Medicine, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China
- School of Nursing, Zunyi Medical University, Zunyi, Guizhou, China
- Department of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China
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Porter LL, Simons KS, Ramjith J, Corsten S, Westerhof B, Rettig TCD, Ewalds E, Janssen I, van der Hoeven JG, van den Boogaard M, Zegers M. Development and External Validation of a Prediction Model for Quality of Life of ICU Survivors: A Subanalysis of the MONITOR-IC Prospective Cohort Study. Crit Care Med 2023; 51:632-641. [PMID: 36825895 DOI: 10.1097/ccm.0000000000005800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
OBJECTIVES To develop and externally validate a prediction model for ICU survivors' change in quality of life 1 year after ICU admission that can support ICU physicians in preparing patients for life after ICU and managing their expectations. DESIGN Data from a prospective multicenter cohort study (MONITOR-IC) were used. SETTING Seven hospitals in the Netherlands. PATIENTS ICU survivors greater than or equal to 16 years old. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Outcome was defined as change in quality of life, measured using the EuroQol 5D questionnaire. The developed model was based on data from an academic hospital, using multivariable linear regression analysis. To assist usability, variables were selected using the least absolute shrinkage and selection operator method. External validation was executed using data of six nonacademic hospitals. Of 1,804 patients included in analysis, 1,057 patients (58.6%) were admitted to the academic hospital, and 747 patients (41.4%) were admitted to a nonacademic hospital. Forty-nine variables were entered into a linear regression model, resulting in an explained variance ( R2 ) of 56.6%. Only three variables, baseline quality of life, admission type, and Glasgow Coma Scale, were selected for the final model ( R2 = 52.5%). External validation showed good predictive power ( R2 = 53.2%). CONCLUSIONS This study developed and externally validated a prediction model for change in quality of life 1 year after ICU admission. Due to the small number of predictors, the model is appealing for use in clinical practice, where it can be implemented to prepare patients for life after ICU. The next step is to evaluate the impact of this prediction model on outcomes and experiences of patients.
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Affiliation(s)
- Lucy L Porter
- Department of Intensive Care, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Intensive Care, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands
| | - Koen S Simons
- Department of Intensive Care, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands
| | - Jordache Ramjith
- Department of Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Stijn Corsten
- Department of Intensive Care, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Brigitte Westerhof
- Department of Intensive Care, Rijnstate Hospital, Arnhem, The Netherlands
| | - Thijs C D Rettig
- Department of Anesthesiology, Intensive Care and Pain Medicine, Amphia Hospital, Breda, The Netherlands
| | - Esther Ewalds
- Department of Intensive Care, Bernhoven Hospital, Uden, The Netherlands
| | - Inge Janssen
- Department of Intensive Care, Maas Hospital Pantein, Boxmeer, The Netherlands
| | - Johannes G van der Hoeven
- Department of Intensive Care, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Mark van den Boogaard
- Department of Intensive Care, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marieke Zegers
- Department of Intensive Care, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
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Affiliation(s)
- Matthew B Allen
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Alexander F Arriaga
- Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, MA
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8
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Heesakkers H, van der Hoeven JG, van den Boogaard M, Zegers M. Two-year physical, mental and cognitive outcomes among intensive care unit survivors treated for COVID-19. Intensive Care Med 2023; 49:597-599. [PMID: 37017696 PMCID: PMC10073777 DOI: 10.1007/s00134-023-07038-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2023] [Indexed: 04/06/2023]
Affiliation(s)
- Hidde Heesakkers
- Department of Intensive Care Medicine, Radboud University Medical CenterRadboud Institute for Health Sciences, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
| | - Johannes G van der Hoeven
- Department of Intensive Care Medicine, Radboud University Medical CenterRadboud Institute for Health Sciences, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Mark van den Boogaard
- Department of Intensive Care Medicine, Radboud University Medical CenterRadboud Institute for Health Sciences, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Marieke Zegers
- Department of Intensive Care Medicine, Radboud University Medical CenterRadboud Institute for Health Sciences, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
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van der Heijden EFM, Kooken RWJ, Zegers M, Simons KS, van den Boogaard M. Differences in long-term outcomes between ICU patients with persistent delirium, non-persistent delirium and no delirium: A longitudinal cohort study. J Crit Care 2023; 76:154277. [PMID: 36804824 DOI: 10.1016/j.jcrc.2023.154277] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 01/18/2023] [Accepted: 02/03/2023] [Indexed: 02/20/2023]
Abstract
PURPOSE Determine differences in physical, mental and cognitive outcomes 1-year post-ICU between patients with persistent delirium (PD), non-persistent delirium (NPD) and no delirium (ND). MATERIALS AND METHODS A longitudinal cohort study was performed in adult ICU patients of two hospitals admitted between July 2016-February 2020. Questionnaires on physical, mental and cognitive health, frailty and QoL were completed regarding patients' pre-ICU health status and 1-year post-ICU. Delirium data were from patients' total hospital stay. Patients were divided in PD (≥14 days delirium), NPD (<14 days delirium) or ND patients. RESULTS 2400 patients completed both questionnaires, of whom 529 (22.0%) patients developed delirium; 35 (6.6%) patients had PD and 494 (93.4%) had NPD. Patients with delirium (PD or NPD) had worse outcomes in all domains compared to ND patients. Compared to NPD, more PD patients were frail (34.3% vs. 14.6%, p = 0.006) and fatigued (85.7% vs. 61.1%, p = 0.012). After adjustment, PD was significantly associated with long-term cognitive impairment only (aOR 3.90; 95%CI 1.31-11.63). CONCLUSIONS Patients with PD had a higher likelihood to develop cognitive impairment 1-year post-ICU compared to NPD or ND. Patients with PD and NPD were more likely to experience impairment on all health domains (i.e. physical, mental and cognitive), compared to ND patients.
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Affiliation(s)
- Emma F M van der Heijden
- Jeroen Bosch Hospital, Department of Intensive Care Medicine, Henri Dunantstraat 1, 5223 GZ 's-Hertogenbosch, the Netherlands.
| | - Rens W J Kooken
- Radboud University Medical Center, Department of Intensive Care, Radboud Institute for Health Science710 - Research IC (room 24), P.O. 9101, zipcode 6500HB, Nijmegen, the Netherlands.
| | - Marieke Zegers
- Radboud University Medical Center, Department of Intensive Care, Radboud Institute for Health Science710 - Research IC (room 24), P.O. 9101, zipcode 6500HB, Nijmegen, the Netherlands.
| | - Koen S Simons
- Jeroen Bosch Hospital, Department of Intensive Care Medicine, Henri Dunantstraat 1, 5223 GZ 's-Hertogenbosch, the Netherlands.
| | - Mark van den Boogaard
- Radboud University Medical Center, Department of Intensive Care, Radboud Institute for Health Science710 - Research IC (room 24), P.O. 9101, zipcode 6500HB, Nijmegen, the Netherlands.
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Chu Y, Thompson DR, Eustace‐Cook J, Timmins F. Instruments to measure post‐intensive care syndrome: A scoping review. Nurs Crit Care 2023. [DOI: 10.1111/nicc.12885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Yuan Chu
- School of Nursing, Midwifery and Health Systems University College Dublin Dublin Ireland
| | - David R. Thompson
- School of Nursing, Midwifery and Health Systems University College Dublin Dublin Ireland
- School of Nursing and Midwifery Queen's University Belfast Belfast UK
| | | | - Fiona Timmins
- School of Nursing, Midwifery and Health Systems University College Dublin Dublin Ireland
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de Jonge M, Wubben N, van Kaam CR, Frenzel T, Hoedemaekers CWE, Ambrogioni L, van der Hoeven JG, van den Boogaard M, Zegers M. Optimizing an existing prediction model for quality of life one-year post-intensive care unit: An exploratory analysis. Acta Anaesthesiol Scand 2022; 66:1228-1236. [PMID: 36054515 DOI: 10.1111/aas.14138] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 07/12/2022] [Accepted: 07/31/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND This study aimed to improve the PREPARE model, an existing linear regression prediction model for long-term quality of life (QoL) of intensive care unit (ICU) survivors by incorporating additional ICU data from patients' electronic health record (EHR) and bedside monitors. METHODS The 1308 adult ICU patients, aged ≥16, admitted between July 2016 and January 2019 were included. Several regression-based machine learning models were fitted on a combination of patient-reported data and expert-selected EHR variables and bedside monitor data to predict change in QoL 1 year after ICU admission. Predictive performance was compared to a five-feature linear regression prediction model using only 24-hour data (R2 = 0.54, mean square error (MSE) = 0.031, mean absolute error (MAE) = 0.128). RESULTS The 67.9% of the included ICU survivors was male and the median age was 65.0 [IQR: 57.0-71.0]. Median length of stay (LOS) was 1 day [IQR 1.0-2.0]. The incorporation of the additional data pertaining to the entire ICU stay did not improve the predictive performance of the original linear regression model. The best performing machine learning model used seven features (R2 = 0.52, MSE = 0.032, MAE = 0.125). Pre-ICU QoL, the presence of a cerebro vascular accident (CVA) upon admission and the highest temperature measured during the ICU stay were the most important contributors to predictive performance. Pre-ICU QoL's contribution to predictive performance far exceeded that of the other predictors. CONCLUSION Pre-ICU QoL was by far the most important predictor for change in QoL 1 year after ICU admission. The incorporation of the numerous additional features pertaining to the entire ICU stay did not improve predictive performance although the patients' LOS was relatively short.
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Affiliation(s)
- Manon de Jonge
- Department Intensive Care Medicine, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
| | - Nina Wubben
- Department Intensive Care Medicine, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
| | - Christiaan R van Kaam
- Department Intensive Care Medicine, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
| | - Tim Frenzel
- Department Intensive Care Medicine, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
| | - Cornelia W E Hoedemaekers
- Department Intensive Care Medicine, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
| | - Luca Ambrogioni
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands
| | - Johannes G van der Hoeven
- Department Intensive Care Medicine, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
| | - Mark van den Boogaard
- Department Intensive Care Medicine, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
| | - Marieke Zegers
- Department Intensive Care Medicine, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, Netherlands
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12
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Kooistra E, Heesakkers H, Pickkers P, Zegers M, van den Boogaard M. Long-Term Impairments Are Most Pronounced in Critically Ill Patients with COVID-19 with Severe Obesity. Am J Respir Crit Care Med 2022; 206:1037-1039. [PMID: 35696647 PMCID: PMC9801993 DOI: 10.1164/rccm.202202-0376le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
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13
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van Sleeuwen D, van de Laar FA, Simons K, van Bommel D, Burgers-Bonthuis D, Koeter J, Bisschops LLA, Vloet L, Brackel M, Teerenstra S, Adang E, van der Hoeven JG, Zegers M, van den Boogaard M. MiCare study, an evaluation of structured, multidisciplinary and personalised post-ICU care on physical and psychological functioning, and quality of life of former ICU patients: a study protocol of a stepped-wedge cluster randomised controlled trial. BMJ Open 2022; 12:e059634. [PMID: 36109035 PMCID: PMC9478839 DOI: 10.1136/bmjopen-2021-059634] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Over 70% of the intensive care unit (ICU) survivors suffer from long-lasting physical, mental and cognitive problems after hospital discharge. Post-ICU care is recommended by international guidelines, but evidence for cost-effectiveness lacks. The aim of this study is to evaluate the clinical effectiveness and cost-effectiveness of structured, multidisciplinary and personalised post-ICU care versus usual care on physical and psychological functioning and health-related quality of life (HRQoL) of ICU survivors, 1- and 2-year post-ICU discharge. METHODS AND ANALYSIS The MONITOR-IC post-ICU care study (MiCare study) is a multicentre stepped-wedge randomised controlled trial conducted in five hospitals. Adult patients at high risk for critical illness-associated morbidity post-ICU will be selected and receive post-ICU care, including an invitation to the post-ICU clinic 3 months after ICU discharge. A personalised long-term recovery plan tailored to patients' reported outcome measures will be made. 770 (intervention) and 1480 (control) patients will be included. Outcomes are 1- and 2-year HRQoL (EuroQol Instrument (EQ-5D-5L)), physical (fatigue and new physical problems), mental (anxiety, depression and post-traumatic stress disorder), and cognitive symptoms and cost-effectiveness. Medical data will be retrieved from patient records and cost data from health insurance companies. ETHICS AND DISSEMINATION Due to the lack of evidence, Dutch healthcare insurers do not reimburse post-ICU care. Therefore, evaluation of cost-effectiveness and integration in guidelines supports the evidence. Participation of several societies for physicians, nurses, paramedics, and patients and relatives in the project team increases the support for implementation of the intervention in clinical practice. Patients and relatives will be informed by the patient associations, hospitals and professional associations. Informing healthcare insurers about this project's results is important for the consideration for inclusion of post-ICU care in Dutch standard health insurance. The study is approved by the Radboud University Medical Centre research ethics committee (2021-13125). TRIAL REGISTRATION NUMBER NCT05066984.
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Affiliation(s)
- Dries van Sleeuwen
- Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands
- Primary care and community care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Floris A van de Laar
- Primary care and community care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Koen Simons
- Intensive Care, Jeroen Bosch Hospital, 's-Hertogenbosch, The Netherlands
| | | | | | - Julia Koeter
- Intensive Care, Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands
| | | | - Lilian Vloet
- Emergency and Critical Care, HAN University of Applied Sciences, Nijmegen, The Netherlands
- FCIC (Family and Patient Centered Intensive Care) Foundation, Alkmaar, The Netherlands
- Radboud institute for health sciences IQ healthcare, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Marianne Brackel
- FCIC (Family and Patient Centered Intensive Care) Foundation, Alkmaar, The Netherlands
- IC Connect, patient organisation for (former) ICU patients and relatives, Nijmegen, The Netherlands
| | - Steven Teerenstra
- Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Eddy Adang
- Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Marieke Zegers
- Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands
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op ‘t Hoog SAJJ, Eskes AM, van Oers JAH, Boerrigter JL, Prins-Smulders MWJC, Oomen M, van der Hoeven JG, Vermeulen H, Vloet LCM. A Quality Improvement Project to Support Post-Intensive Care Unit Patients with COVID-19: Structured Telephone Support. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:9689. [PMID: 35955045 PMCID: PMC9368104 DOI: 10.3390/ijerph19159689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 08/02/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND More than 50% of intensive care unit (ICU) survivors suffer from long-lasting physical, psychosocial, and cognitive health impairments, also called "post-intensive care syndrome" (PICS). Intensive care admission during the COVID-19 pandemic was especially uncertain and stressful, both for patients and for their family. An additional risk of developing symptoms of PICS was feared in the absence of structural aftercare for the patient and family shortly after discharge from the hospital. The purpose of this quality improvement study was to identify PICS symptoms and to support post-intensive care patients and families in the transition from the hospital to the home. Therefore, we offered post-ICU patients and families structured telephone support (STS). METHODS This was a quality improvement study during the 2019 COVID-19 pandemic. A project team developed and implemented a tool to structure telephone calls to identify and order symptoms according to the PICS framework and to give individual support based on this information. We supported post-ICU patients diagnosed with COVID-19 pneumonia and their family caregivers within four weeks after hospital discharge. The reported findings were both quantitative and qualitative. RESULTS Forty-six post-ICU patients received structured telephone support and reported symptoms in at least one of the three domains of the PICS framework. More than half of the patients experienced a loss of strength or condition and fatigue. Cognitive and psychological impairments were reported less frequently. Family caregivers reported fewer impairments concerning fatigue and sleeping problems and expressed a need for a continuity of care. Based on the obtained information, the ICU nurse practitioners were able to check if individual care plans were optimal and clear and, if indicated, initiated disciplines to optimize further follow-up. CONCLUSIONS The implementation of the STS tool gave insight in the impairments of post-ICU patients. Surprisingly, family caregivers expressed fewer impairments. Giving support early after hospital discharge in a structured way may contribute to providing guidance in the individual care plans and treatment of the early symptoms of PICS (-F).
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Affiliation(s)
- Sabine A. J. J. op ‘t Hoog
- Department of Intensive Care, Elisabeth-Tweesteden Hospital, 5022 GC Tilburg, The Netherlands
- Research Department of Emergency and Critical Care, HAN University of Applied Science, 6525 EN Nijmegen, The Netherlands
| | - Anne M. Eskes
- Department of Surgery, Amerstam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Menzies Health Institute Queensland, School of Nursing and Midwifery, Griffith University, Gold Coast, QLD 4222, Australia
| | - Jos A. H. van Oers
- Department of Intensive Care, Elisabeth-Tweesteden Hospital, 5022 GC Tilburg, The Netherlands
| | - José L. Boerrigter
- Department of Surgery, Amerstam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
| | - Meike W. J. C. Prins-Smulders
- Department of Intensive Care, Elisabeth-Tweesteden Hospital, 5022 GC Tilburg, The Netherlands
- Research Department of Emergency and Critical Care, HAN University of Applied Science, 6525 EN Nijmegen, The Netherlands
| | - Margo Oomen
- Department of Intensive Care, Elisabeth-Tweesteden Hospital, 5022 GC Tilburg, The Netherlands
| | - Johannes G. van der Hoeven
- Department of Intensive Care Medicine, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands
| | - Hester Vermeulen
- Radboud University Medical Centre, Radboud Institute for Health Sciences IQ Healthcare, 6500 HB Nijmegen, The Netherlands
- Foundation Family and Patient Centered Intensive Care, 1801 GB Alkmaar, The Netherlands
| | - Lilian C. M. Vloet
- Research Department of Emergency and Critical Care, HAN University of Applied Science, 6525 EN Nijmegen, The Netherlands
- Radboud University Medical Centre, Radboud Institute for Health Sciences IQ Healthcare, 6500 HB Nijmegen, The Netherlands
- Foundation Family and Patient Centered Intensive Care, 1801 GB Alkmaar, The Netherlands
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15
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Abstract
OBJECTIVES: Anxiety and depression are common mental disorders in adults admitted to the ICU. Although depression increases postsurgical delirium and anxiety does not, their associations with ICU delirium in critically ill adults remain unclear. We evaluated the association between ICU baseline anxiety and depression and ICU delirium occurrence. DESIGN: Subgroup analysis of a prospective cohort study. SETTING: Single, 36-bed mixed ICU. PATIENTS: Nine-hundred ninety-one ICU patients admitted with or without delirium between July 2016 and February 2020; patients admitted after elective surgery or not assessed for anxiety/depression were excluded. INTERVENTION: None. MEASUREMENTS AND MAIN RESULTs: The Hospital Anxiety and Depression Scale questionnaire was administered at ICU admission to determine baseline anxiety and depression. All patients were assessed with the Confusion Assessment Method for the ICU (CAM-ICU) q8h; greater than or equal to 1 +CAM-ICU assessment and/or scheduled antipsychotic use represented a delirium day. Multivariable logistic and Quasi-Poisson regression models, adjusted for ICU days and nine delirium risk variables (“Pre-ICU”: age, Charlson Comorbidity Index, cognitive impairment; “ICU baseline”: Acute Physiology and Chronic Health Evaluation-IV, admission type; “Daily ICU”: opioid and/or benzodiazepine use, Sequential Organ Failure Assessment score, coma), were used to evaluate associations between baseline anxiety and/or depression and ICU delirium. Among the 991 patients, 145 (14.6%) had both anxiety and depression, 78 (7.9%) had anxiety only, 91 (9.2%) had depression only, and 677 (68.3%) had neither. Delirium occurred in 406 of 991 total cohort (41.0%) patients; in the baseline anxiety and depression group, it occurred in 78 of 145 (53.8%), in the anxiety only group, 37 of 78 (47.4%), in the depression only group, 39 of 91 (42.9%), and in the group with neither in 252 of 677 (37.2%). Presence of both baseline anxiety and depression was associated with greater delirium occurrence (adjusted odds ratio, 1.99; 95% CI, 1.10–3.53; p = 0.02) and duration (adjusted risk ratio, 1.62; 95% CI, 1.17–2.23; p < 0.01). CONCLUSIONS: Baseline anxiety and depression are associated with increased ICU delirium occurrence and should be considered when delirium risk reduction strategies are being formulated.
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16
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Frishberg A, Kooistra E, Nuesch-Germano M, Pecht T, Milman N, Reusch N, Warnat-Herresthal S, Bruse N, Händler K, Theis H, Kraut M, van Rijssen E, van Cranenbroek B, Koenen HJ, Heesakkers H, van den Boogaard M, Zegers M, Pickkers P, Becker M, Aschenbrenner AC, Ulas T, Theis FJ, Shen-Orr SS, Schultze JL, Kox M. Mature neutrophils and a NF-κB-to-IFN transition determine the unifying disease recovery dynamics in COVID-19. Cell Rep Med 2022; 3:100652. [PMID: 35675822 PMCID: PMC9110324 DOI: 10.1016/j.xcrm.2022.100652] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/14/2022] [Accepted: 05/11/2022] [Indexed: 01/19/2023]
Abstract
Disease recovery dynamics are often difficult to assess, as patients display heterogeneous recovery courses. To model recovery dynamics, exemplified by severe COVID-19, we apply a computational scheme on longitudinally sampled blood transcriptomes, generating recovery states, which we then link to cellular and molecular mechanisms, presenting a framework for studying the kinetics of recovery compared with non-recovery over time and long-term effects of the disease. Specifically, a decrease in mature neutrophils is the strongest cellular effect during recovery, with direct implications on disease outcome. Furthermore, we present strong indications for global regulatory changes in gene programs, decoupled from cell compositional changes, including an early rise in T cell activation and differentiation, resulting in immune rebalancing between interferon and NF-κB activity and restoration of cell homeostasis. Overall, we present a clinically relevant computational framework for modeling disease recovery, paving the way for future studies of the recovery dynamics in other diseases and tissues.
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Affiliation(s)
- Amit Frishberg
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; Institute of Computational Biology, Helmholtz Center Munich, 85764 Neuherberg, Germany; Department of Immunology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Emma Kooistra
- Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Melanie Nuesch-Germano
- Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
| | - Tal Pecht
- Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
| | - Neta Milman
- Department of Immunology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Nico Reusch
- Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
| | - Stefanie Warnat-Herresthal
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
| | - Niklas Bruse
- Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Kristian Händler
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE and University of Bonn, Bonn, Germany
| | - Heidi Theis
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE and University of Bonn, Bonn, Germany
| | - Michael Kraut
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE and University of Bonn, Bonn, Germany
| | - Esther van Rijssen
- Laboratory for Medical Immunology, Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, Netherlands
| | - Bram van Cranenbroek
- Laboratory for Medical Immunology, Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, Netherlands
| | - Hans Jpm Koenen
- Laboratory for Medical Immunology, Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, Netherlands
| | - Hidde Heesakkers
- Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Mark van den Boogaard
- Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Marieke Zegers
- Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Peter Pickkers
- Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Matthias Becker
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE and University of Bonn, Bonn, Germany
| | - Anna C Aschenbrenner
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany; Department of Internal Medicine and Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, the Netherlands; Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE and University of Bonn, Bonn, Germany
| | - Thomas Ulas
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE and University of Bonn, Bonn, Germany
| | - Fabian J Theis
- Institute of Computational Biology, Helmholtz Center Munich, 85764 Neuherberg, Germany; Department of Mathematics, Technical University of Munich, 85748 Garching, Germany; Technical University of Munich, TUM School of Life Sciences Weihenstephan, 85354 Freising, Germany
| | - Shai S Shen-Orr
- Department of Immunology, Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Joachim L Schultze
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany; Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), PRECISE Platform for Genomics and Epigenomics at DZNE and University of Bonn, Bonn, Germany.
| | - Matthijs Kox
- Department of Intensive Care Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, the Netherlands
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Heesakkers H, van der Hoeven JG, Corsten S, Janssen I, Ewalds E, Simons KS, Westerhof B, Rettig TCD, Jacobs C, van Santen S, Slooter AJC, van der Woude MCE, van den Boogaard M, Zegers M. Clinical Outcomes Among Patients With 1-Year Survival Following Intensive Care Unit Treatment for COVID-19. JAMA 2022; 327:559-565. [PMID: 35072716 PMCID: PMC8787680 DOI: 10.1001/jama.2022.0040] [Citation(s) in RCA: 147] [Impact Index Per Article: 73.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
IMPORTANCE One-year outcomes in patients who have had COVID-19 and who received treatment in the intensive care unit (ICU) are unknown. OBJECTIVE To assess the occurrence of physical, mental, and cognitive symptoms among patients with COVID-19 at 1 year after ICU treatment. DESIGN, SETTING, AND PARTICIPANTS An exploratory prospective multicenter cohort study conducted in ICUs of 11 Dutch hospitals. Patients (N = 452) with COVID-19, aged 16 years and older, and alive after hospital discharge following admission to 1 of the 11 ICUs during the first COVID-19 surge (March 1, 2020, until July 1, 2020) were eligible for inclusion. Patients were followed up for 1 year, and the date of final follow-up was June 16, 2021. EXPOSURES Patients with COVID-19 who received ICU treatment and survived 1 year after ICU admission. MAIN OUTCOMES AND MEASURES The main outcomes were self-reported occurrence of physical symptoms (frailty [Clinical Frailty Scale score ≥5], fatigue [Checklist Individual Strength-fatigue subscale score ≥27], physical problems), mental symptoms (anxiety [Hospital Anxiety and Depression {HADS} subscale score ≥8], depression [HADS subscale score ≥8], posttraumatic stress disorder [mean Impact of Event Scale score ≥1.75]), and cognitive symptoms (Cognitive Failure Questionnaire-14 score ≥43) 1 year after ICU treatment and measured with validated questionnaires. RESULTS Of the 452 eligible patients, 301 (66.8%) patients could be included, and 246 (81.5%) patients (mean [SD] age, 61.2 [9.3] years; 176 men [71.5%]; median ICU stay, 18 days [IQR, 11 to 32]) completed the 1-year follow-up questionnaires. At 1 year after ICU treatment for COVID-19, physical symptoms were reported by 182 of 245 patients (74.3% [95% CI, 68.3% to 79.6%]), mental symptoms were reported by 64 of 244 patients (26.2% [95% CI, 20.8% to 32.2%]), and cognitive symptoms were reported by 39 of 241 patients (16.2% [95% CI, 11.8% to 21.5%]). The most frequently reported new physical problems were weakened condition (95/244 patients [38.9%]), joint stiffness (64/243 patients [26.3%]) joint pain (62/243 patients [25.5%]), muscle weakness (60/242 patients [24.8%]) and myalgia (52/244 patients [21.3%]). CONCLUSIONS AND RELEVANCE In this exploratory study of patients in 11 Dutch hospitals who survived 1 year following ICU treatment for COVID-19, physical, mental, or cognitive symptoms were frequently reported.
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Affiliation(s)
- Hidde Heesakkers
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department Intensive Care, Nijmegen, the Netherlands
| | - Johannes G. van der Hoeven
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department Intensive Care, Nijmegen, the Netherlands
| | - Stijn Corsten
- Department of Intensive Care Medicine, Canisius Wilhelmina Hospital, Nijmegen, the Netherlands
| | - Inge Janssen
- Department of Intensive Care Medicine, Maasziekenhuis Pantein, Beugen, the Netherlands
| | - Esther Ewalds
- Department of Intensive Care Medicine, Bernhoven Hospital, Uden, the Netherlands
| | - Koen S. Simons
- Department of Intensive Care Medicine, Jeroen Bosch Hospital, ’s-Hertogenbosch, the Netherlands
| | - Brigitte Westerhof
- Department of Intensive Care Medicine, Rijnstate Hospital, Arnhem, the Netherlands
| | - Thijs C. D. Rettig
- Department of Anesthesiology, Intensive Care and Pain Medicine, Amphia Hospital, Breda, the Netherlands
| | - Crétien Jacobs
- Department of Intensive Care Medicine, Elkerliek Hospital, Helmond, the Netherlands
| | - Susanne van Santen
- Department of Intensive Care Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Arjen J. C. Slooter
- Department of Intensive Care Medicine and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Neurology, UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
| | | | - Mark van den Boogaard
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department Intensive Care, Nijmegen, the Netherlands
| | - Marieke Zegers
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department Intensive Care, Nijmegen, the Netherlands
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18
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Mental health symptoms in family members of COVID-19 ICU survivors 3 and 12 months after ICU admission: a multicentre prospective cohort study. Intensive Care Med 2022; 48:322-331. [PMID: 35103824 PMCID: PMC8804080 DOI: 10.1007/s00134-021-06615-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/27/2021] [Indexed: 12/20/2022]
Abstract
Purpose Long-term mental outcomes in family members of coronavirus disease 2019 (COVID-19) intensive care unit (ICU) survivors are unknown. Therefore, we assessed the prevalence of mental health symptoms, including associated risk factors, and quality of life (QoL) in family members of COVID-19 ICU survivors 3 and 12 months post-ICU. Methods A prospective multicentre cohort study in ICUs of ten Dutch hospitals, including adult family members of COVID-19 ICU survivors admitted between March 1, and July 1, 2020. Symptom prevalence rates of anxiety, depression (Hospital Anxiety and Depression Scale) and Post-Traumatic Stress Disorder (Impact of Event Scale-6), and QoL (Short Form-12) before ICU admission (baseline), and after 3 and 12 months were measured. Additionally, associations between family and patient characteristics and mental health symptoms were calculated. Results A total of 166 out of 197 (84.3%) included family members completed the 12-month follow-up of whom 46.1% and 38.3% had mental health symptoms 3 and 12 months post-ICU, respectively; both higher compared to baseline (22.4%) (p < 0.001). The mental component summary score of the SF-12 was lower at 12-month follow-up compared with baseline [mean difference mental component score: − 5.5 (95% confidence interval (CI) − 7.4 to − 3.6)]. Furthermore, 27.9% experienced work-related problems. Symptoms of anxiety (odds ratio (OR) 9.23; 95% CI 2.296–37.24; p = 0.002) and depression (OR 5.96; 95% CI 1.29–27.42; p = 0.02) prior to ICU admission were identified as risk factors for mental health symptoms after 12 months. Conclusion A considerable proportion of family members of COVID-19 survivors reported mental health symptoms 3 and 12 months after ICU admission, disrupting QoL and creating work-related problems. Supplementary Information The online version contains supplementary material available at 10.1007/s00134-021-06615-8.
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19
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Abstract
Ketamine is increasingly being used for analgosedation, but its effect on delirium remains unclear. We compared delirium risk variables and ketamine analgosedation use between adults who developed incident delirium and those who did not, evaluated whether ketamine analgosedation increases delirium risk, and compared ICU delirium characteristics, treatments, and outcomes between ketamine and nonketamine patients with delirium. DESIGN Secondary, subgroup analysis of a cohort study. SETTING Single, 36-bed mixed medical-surgical ICU in the Netherlands from July 2016 to February 2020. PATIENTS Consecutive adults were included. Patients admitted after elective surgery, not expected to survive greater than or equal to 48 hours, admitted with delirium, or where delirium occurred prior to ketamine use were excluded. INTERVENTION None. MEASUREMENTS AND MAIN RESULTS Trained ICU nurses evaluated patients without coma (Richmond Agitation Sedation Scale. -4/-5) every 8 hours with the Confusion Assessment Method ICU; a delirium day was defined by greater than or equal to1 + Confusion Assessment Method ICU and/or scheduled antipsychotic use. Among 11 variables compared between the delirium and nondelirium groups (Baseline: age, Charlson Comorbidity score, cognitive impairment, admission type, and Acute Physiology and Chronic Health Evaluation-IV score, daily ICU [until delirium occurrence or discharge]: Sequential Organ Failure Assessment score, coma, benzodiazepine, opioid, and ketamine use) and total ICU days, 7 (age, Charlson score, Sequential Organ Failure Assessment score, coma, benzodiazepine, opioid, and ketamine use) were significantly different and were entered, along with delirium occurrence, in a logistic regression model. A total of 332 of 925 of patients (36%) developed delirium. Ketamine use was greater in patients with delirium (54 [16%] vs 4 [0.7%]; p < 0.01). Ketamine use (adjusted odds ratio, 5.60; 95% CI, 1.09-29.15), age (adjusted odds ratio, 1.03; 95% CI, 1.01-1.06), coma (adjusted odds ratio, 2.10; 95% CI, 1.15-3.78), opioid use (adjusted odds ratio, 171.17; 95% CI, 66.45-553.68), and benzodiazepine use (adjusted odds ratio, 34.07; 95% CI, 8.12-235.34) were each independently and significantly associated with increased delirium. Delirium duration, motoric subtype, delirium treatments, and outcomes were not different between the ketamine and nonketamine groups. CONCLUSIONS Ketamine analgosedation may contribute to increased ICU delirium. The characteristics of ketamine and nonketamine delirium are similar. Further prospective research is required to evaluate the magnitude of risk for delirium with ketamine use.
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Abstract
Social determinants of health may affect ICU outcome, but the association between social determinants of health and delirium remains unclear. We evaluated the association between three social determinants of health and delirium occurrence and duration in critically ill adults.
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Wubben N, van den Boogaard M, van der Hoeven JG, Zegers M. Shared decision-making in the ICU from the perspective of physicians, nurses and patients: a qualitative interview study. BMJ Open 2021; 11:e050134. [PMID: 34380728 PMCID: PMC8359489 DOI: 10.1136/bmjopen-2021-050134] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE To identify views, experiences and needs for shared decision-making (SDM) in the intensive care unit (ICU) according to ICU physicians, ICU nurses and former ICU patients and their close family members. DESIGN Qualitative study. SETTING Two Dutch tertiary centres. PARTICIPANTS 19 interviews were held with 29 participants: seven with ICU physicians from two tertiary centres, five with ICU nurses from one tertiary centre and nine with former ICU patients, of whom seven brought one or two of their close family members who had been involved in the ICU stay. RESULTS Three themes, encompassing a total of 16 categories, were identified pertaining to struggles of ICU physicians, needs of former ICU patients and their family members and the preferred role of ICU nurses. The main struggles ICU physicians encountered with SDM include uncertainty about long-term health outcomes, time constraints, feeling pressure because of having final responsibility and a fear of losing control. Former patients and family members mainly expressed aspects they missed, such as not feeling included in ICU treatment decisions and a lack of information about long-term outcomes and recovery. ICU nurses reported mainly opportunities to strengthen their role in incorporating non-medical information in the ICU decision-making process and as liaison between physicians and patients and family. CONCLUSIONS Interviewed stakeholders reported struggles, needs and an elucidation of their current and preferred role in the SDM process in the ICU. This study signals an essential need for more long-term outcome information, a more informal inclusion of patients and their family members in decision-making processes and a more substantial role for ICU nurses to integrate patients' values and needs in the decision-making process.
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Affiliation(s)
- Nina Wubben
- Intensive care, Radboudumc, Nijmegen, Gelderland, The Netherlands
| | | | | | - Marieke Zegers
- Intensive care, Radboudumc, Nijmegen, Gelderland, The Netherlands
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22
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Geense WW, Zegers M, Peters MAA, Ewalds E, Simons KS, Vermeulen H, van der Hoeven JG, van den Boogaard M. New Physical, Mental, and Cognitive Problems 1 Year after ICU Admission: A Prospective Multicenter Study. Am J Respir Crit Care Med 2021; 203:1512-1521. [PMID: 33526001 DOI: 10.1164/rccm.202009-3381oc] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Rationale: Comprehensive studies addressing the incidence of physical, mental, and cognitive problems after ICU admission are lacking. With an increasing number of ICU survivors, an improved understanding of post-ICU problems is necessary. Objectives: To determine the occurrence and cooccurrence of new physical, mental, and cognitive problems among ICU survivors 1 year after ICU admission, their impact on daily functioning, and risk factors associated with 1-year outcomes. Methods: Prospective multicenter cohort study, including ICU patients ⩾16 years of age, admitted for ⩾12 hours between July 2016 and June 2019. Patients, or proxies, rated their health status before and 1 year after ICU admission using questionnaires. Measurements and Main Results: Validated questionnaires were used to measure frailty, fatigue, new physical symptoms, anxiety and depression, post-traumatic stress disorder, cognitive impairment, and quality of life. Of the 4,793 patients included, 2,345 completed the questionnaires both before and 1 year after ICU admission. New physical, mental, and/or cognitive problems 1 year after ICU admission were experienced by 58% of the medical patients, 64% of the urgent surgical patients, and 43% of the elective surgical patients. Urgent surgical patients experienced a significant deterioration in their physical and mental functioning, whereas elective surgical patients experienced a significant improvement. Medical patients experienced an increase in symptoms of depression. A significant decline in cognitive functioning was experienced by all types of patients. Pre-ICU health status was strongly associated with post-ICU health problems. Conclusions: Overall, 50% of ICU survivors suffer from new physical, mental, and/or cognitive problems. An improved insight into the specific health problems of ICU survivors would enable more personalized post-ICU care.
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Affiliation(s)
| | | | - Marco A A Peters
- Department of Intensive Care Medicine, Canisius Wilhelmina Hospital, Nijmegen, the Netherlands
| | - Esther Ewalds
- Department of Intensive Care Medicine, Bernhoven Hospital, Uden, the Netherlands
| | - Koen S Simons
- Department of Intensive Care Medicine, Jeroen Bosch Hospital, 's-Hertogenbosch, the Netherlands; and
| | - Hester Vermeulen
- Scientific Center for Quality of Healthcare, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.,Faculty of Health and Social Studies, HAN University of Applied Sciences, Nijmegen, the Netherlands
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23
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Abstract
Sepsis is one of the most serious problems in modern medicine. Long-term outcomes in septic shock patients are very discouraging: 75% individuals who survived sepsis and septic shock demonstrate signs of organ failure and experience persistent functional deficit. Acute sepsis and its management in an intensive care unit (ICU) to a great extent determine the pathogenesis of further complications. We believe that the concept of phenoptosis proposed by Prof. Skulachev deserves a special attention from anesthesiologists and ICU doctors. According to this concept, septic shock is a suicidal mechanism of programmed organism death, which protects human population from dangerously infected individuals. The article suggests a potential approach to the sepsis treatment based on the notion that septic shock can be prevented by identification and blockade of receptors involved in the processing of phenoptotic signal induced by lipopolysaccharide and other substances that initiate septic shock. In view of this, the search for agents that can block molecular mechanisms of the phenoptotic signal transmission seems very promising.
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Affiliation(s)
- Oleg A Grebenchikov
- Negovsky Scientific Research Institute of General Reanimatology, Moscow, 107031, Russia.
| | - Artem N Kuzovlev
- Negovsky Scientific Research Institute of General Reanimatology, Moscow, 107031, Russia
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Psychological Symptoms in Relatives of Critically Ill Patients: A Longitudinal Cohort Study. Crit Care Explor 2021; 3:e0470. [PMID: 34235457 PMCID: PMC8238357 DOI: 10.1097/cce.0000000000000470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVES To explore the psychologic impact of an ICU stay on relatives and to determine patient and relative factors, including their pre-ICU mental health status, associated with psychologic symptoms 3 months after ICU admission. DESIGN A prospective, exploratory, longitudinal cohort study. SETTING A 12-bed ICU in a Dutch tertiary teaching hospital. PATIENTS The relatives of ICU patients admitted between March 2018 and December 2019. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Relatives completed the Hospital Anxiety and Depression Scale shortly after patients' ICU admission referring to the week before ICU admission and 3 months later, together with the Impact of Event Scale-Revised, assessing posttraumatic stress. A total of 387 were eligible of which 78 (20%) responded. Almost a quarter reported an increase of anxiety (23.1%) and depression (24.4%) between baseline and 3 months follow-up. One in six (17.9%) reported posttraumatic stress. Anxiety, depression, and posttraumatic stress at 3 months follow-up were significantly associated with preexisting anxiety and depression. Patients' factor associated with depression 3 months follow-up in relatives was length of ICU stay (odds ratio, 1.09; 95% CI, 1.02-1.16). CONCLUSIONS Relatives with preexisting psychologic symptoms before ICU admission are at risk to develop anxiety, depression, or posttraumatic stress shortly after ICU discharge of the patient. Screening and identification in an early stage enables early interventions to prevent relatives from worsening mental health during and after ICU admission.
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Wubben N, van den Boogaard M, Ramjith J, Bisschops LLA, Frenzel T, van der Hoeven JG, Zegers M. Development of a practically usable prediction model for quality of life of ICU survivors: A sub-analysis of the MONITOR-IC prospective cohort study. J Crit Care 2021; 65:76-83. [PMID: 34111683 DOI: 10.1016/j.jcrc.2021.04.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 03/18/2021] [Accepted: 04/08/2021] [Indexed: 11/17/2022]
Abstract
PURPOSE As the goal of ICU treatment is survival in good health, we aimed to develop a prediction model for ICU survivors' change in quality of life (QoL) one year after ICU admission. MATERIALS & METHODS This is a sub-study of the prospective cohort MONITOR-IC study. Adults admitted ≥12 h to the ICU of a university hospital between July 2016-January 2019 were included. Moribund patients were excluded. Change in QoL one year after ICU admission was quantified using the EuroQol five-dimensional (EQ-5D-5L) questionnaire, and Short-Form 36 (SF-36). Multivariable linear regression analysis and best subsets regression analysis (SRA) were used. Models were internally validated by bootstrapping. RESULTS The PREdicting PAtients' long-term outcome for Recovery (PREPARE) model was developed (n = 1308 ICU survivors). The EQ-5D-models had better predictive performance than the SF-36-models. Explained variance (adjusted R2) of the best model (33 predictors) was 58.0%. SRA reduced the number of predictors to 5 (adjusted R2 = 55.3%, SE = 0.3), including QoL, diagnosis of a Cardiovascular Incident and frailty before admission, sex, and ICU-admission following planned surgery. CONCLUSIONS Though more long-term data are needed to ascertain model accuracy, in future, the PREPARE model may be used to better inform and prepare patients and their families for ICU recovery.
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Affiliation(s)
- Nina Wubben
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - Mark van den Boogaard
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - Jordache Ramjith
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Health Evidence, Nijmegen, the Netherlands
| | - Laurens L A Bisschops
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - Tim Frenzel
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - Johannes G van der Hoeven
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - Marieke Zegers
- Radboud University Medical Center, Radboud Institute for Health Sciences, Department of Intensive Care Medicine, Nijmegen, the Netherlands.
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26
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Abstract
OBJECTIVES Although patient's health status before ICU admission is the most important predictor for long-term outcomes, it is often not taken into account, potentially overestimating the attributable effects of critical illness. Studies that did assess the pre-ICU health status often included specific patient groups or assessed one specific health domain. Our aim was to explore patient's physical, mental, and cognitive functioning, as well as their quality of life before ICU admission. DESIGN Baseline data were used from the longitudinal prospective MONITOR-IC cohort study. SETTING ICUs of four Dutch hospitals. PATIENTS Adult ICU survivors (n = 2,467) admitted between July 2016 and December 2018. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Patients, or their proxy, rated their level of frailty (Clinical Frailty Scale), fatigue (Checklist Individual Strength-8), anxiety and depression (Hospital Anxiety and Depression Scale), cognitive functioning (Cognitive Failure Questionnaire-14), and quality of life (Short Form-36) before ICU admission. Unplanned patients rated their pre-ICU health status retrospectively after ICU admission. Before ICU admission, 13% of all patients was frail, 65% suffered from fatigue, 28% and 26% from symptoms of anxiety and depression, respectively, and 6% from cognitive problems. Unplanned patients were significantly more frail and depressed. Patients with a poor pre-ICU health status were more often likely to be female, older, lower educated, divorced or widowed, living in a healthcare facility, and suffering from a chronic condition. CONCLUSIONS In an era with increasing attention for health problems after ICU admission, the results of this study indicate that a part of the ICU survivors already experience serious impairments in their physical, mental, and cognitive functioning before ICU admission. Substantial differences were seen between patient subgroups. These findings underline the importance of accounting for pre-ICU health status when studying long-term outcomes.
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Geense WW, de Graaf M, Vermeulen H, van der Hoeven J, Zegers M, van den Boogaard M. Reduced quality of life in ICU survivors - the story behind the numbers: A mixed methods study. J Crit Care 2021; 65:36-41. [PMID: 34082253 DOI: 10.1016/j.jcrc.2021.05.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/19/2021] [Accepted: 05/04/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE To gain insight into the daily functioning of ICU survivors who reported a reduced quality of life (QoL) one year after ICU admission. MATERIALS AND METHODS A two-phase mixed method study design. QoL was assessed using the SF-36 questionnaire before admission and after one year (Phase 1). Participants reporting a reduced QoL were invited for an in-depth interview (Phase 2). Interview data were coded thematically using the PROMIS framework. RESULTS Of the 797 participants, 173 (22%) reported a reduced QoL, of which 19 purposively selected patients were interviewed. In line with their questionnaire scores, most participants described their QoL as reduced. They suffered from physical, mental and/or cognitive problems, impacting their daily life, restricting hobbies, work, and social activities. A new balance in life, including relationships, had to be found. Some interviewees experienced no changes in their QoL; they were grateful for being alive, set new life priorities, and were able to accept their life with its limitations. CONCLUSIONS Reduction in QoL is due to physical, mental, and cognitive health problems, restricting participants what they want to do. However, QoL was not only affected by the critical illness, but also by factors including independency, comorbidity, and life events. Registration: NCT03246334 (clinical trials.gov).
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Affiliation(s)
- Wytske W Geense
- Radboud university medical center, Radboud Institute for Health Sciences, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - Mirjam de Graaf
- Radboud university medical center, Radboud Institute for Health Sciences, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - Hester Vermeulen
- Radboud university medical center, Radboud Institute for Health Sciences, Scientific Center for Quality of Healthcare, Nijmegen, the Netherlands; HAN University of Applied Science, Faculty of Health and Social Studies, Nijmegen, the Netherlands
| | - Johannes van der Hoeven
- Radboud university medical center, Radboud Institute for Health Sciences, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - Marieke Zegers
- Radboud university medical center, Radboud Institute for Health Sciences, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - Mark van den Boogaard
- Radboud university medical center, Radboud Institute for Health Sciences, Department of Intensive Care Medicine, Nijmegen, the Netherlands.
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Physical and Cognitive Training to Enhance Intensive Care Unit Survivors' Cognition: A Mapping Review. Rehabil Nurs 2021; 46:323-332. [PMID: 33833206 DOI: 10.1097/rnj.0000000000000325] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE The aim of this study was to examine current literature regarding effects of physical or cognitive training and simultaneous (dual-task) physical and cognitive training on cognition in adults surviving an intensive care unit (ICU) stay. DESIGN Systematic mapping. METHODS A literature search was conducted to examine effects of physical and/or cognitive training on cognitive processes. RESULTS Few studies targeted adults surviving ICU. Independently, physical and cognitive interventions improved cognition in healthy older adults with and without cognitive impairment. Simultaneous interventions may improve executive function. Small sample size and heterogeneity of interventions limited the ability to make inferences. CONCLUSION Literature supports positive effects of single- and dual-task training on recovering cognition in adults. This training could benefit ICU survivors who need to regain cognitive function and prevent future decline. RELEVANCE TO PRACTICE With the growing number of ICU survivors experiencing cognitive deficits, it is essential to develop and test interventions that restore cognitive function in this understudied population.
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Vlake JH, van Genderen ME, Schut A, Verkade M, Wils EJ, Gommers D, van Bommel J. Patients suffering from psychological impairments following critical illness are in need of information. J Intensive Care 2020; 8:6. [PMID: 31938546 PMCID: PMC6953141 DOI: 10.1186/s40560-019-0422-0] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 12/23/2019] [Indexed: 12/11/2022] Open
Abstract
Background Because critical illness survivors frequently experience several long-term psychological impairments altering quality of life after ICU, there is a trend towards increasing follow-up care, mainly via ICU follow-up clinics. Despite these and other initiatives, understanding of patient’s post-ICU needs to help them cope with their problems and subsequently improve quality of life is largely lacking. Our aim was therefore to assess the needs, expectations and wishes in ICU survivors to receive information with the purpose to help them better grasp ICU treatment. In addition, we assessed the perceived burden of psychological trauma after ICU treatment and the health-related quality of life (HRQoL) up to 2.5 years after ICU discharge. Methods In a multicentre, retrospective cross-sectional cohort study, the needs and preferred intervention methods were assessed using a self-composed inventory in adult mechanically ventilated ICU survivors (n = 43). Additionally, the Impact of Event Scale Revised, the Beck Depression Inventory, the EuroQol-5D-5L, and the Short-Form 12 were used to assess psychological burden and HRQoL. Results A substantial proportion of all ICU survivors (59%, 95% CI 44% to 74%) suffered from psychological impairments after ICU treatment. Seventy-five percent of these patients expressed a wish to receive information, but only 36% desired to receive this information using a commonly used information brochure. In contrast, 71% of these patients had a wish to receive information using a video film/VR. Furthermore, only 33% of these patients was satisfied with the information provided by their treating hospital. Patients with psychological PICS reported a worse HRQoL as compared to a normative Dutch sample (P < 0.001) and as compared to patients without psychological PICS (P < 0.01). Conclusions In a Dutch cohort of critical illness survivors, a substantial part of ICU survivors suffer from psychological impairments, such as PTSD and depression, which was associated with a worse HRQoL. These patients are in need of information, have no desire using an information brochure, but are willing to receive information using a video film/virtual reality module. These results support the exploration of such an intervention.
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Affiliation(s)
- Johan H Vlake
- 1Department of Intensive Care, Erasmus Medical Centre, Room Ne-403, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.,2Department of Intensive Care, Franciscus Gasthuis & Vlietland Hospital, Rotterdam, the Netherlands
| | - Michel E van Genderen
- 1Department of Intensive Care, Erasmus Medical Centre, Room Ne-403, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.,2Department of Intensive Care, Franciscus Gasthuis & Vlietland Hospital, Rotterdam, the Netherlands
| | - Anna Schut
- 3Department of Intensive Care, Ikazia Hospital, Rotterdam, the Netherlands
| | - Martijn Verkade
- Department of Intensive Care, IJselland Hospital, Rotterdam, the Netherlands
| | - Evert-Jan Wils
- 2Department of Intensive Care, Franciscus Gasthuis & Vlietland Hospital, Rotterdam, the Netherlands
| | - Diederik Gommers
- 1Department of Intensive Care, Erasmus Medical Centre, Room Ne-403, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Jasper van Bommel
- 1Department of Intensive Care, Erasmus Medical Centre, Room Ne-403, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
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Geense W, Zegers M, Dieperink P, Vermeulen H, van der Hoeven J, van den Boogaard M. Changes in frailty among ICU survivors and associated factors: Results of a one-year prospective cohort study using the Dutch Clinical Frailty Scale. J Crit Care 2019; 55:184-193. [PMID: 31739088 DOI: 10.1016/j.jcrc.2019.10.016] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Revised: 09/24/2019] [Accepted: 10/31/2019] [Indexed: 12/12/2022]
Abstract
PURPOSE Frailty is an important predictor for the prognosis of intensive care unit (ICU) patients. This study examined changes in frailty in the year after ICU admission, and its associated factors. MATERIALS AND METHODS Prospective cohort study including adult ICU patients admitted between July 2016-December 2017. Frailty was measured using the Clinical Frailty Scale (CFS), before ICU admission, at hospital discharge, and three and 12 months after ICU admission. Multivariable linear regression was used to explore factors associated with frailty changes. RESULTS Frailty levels changed among 1300 ICU survivors, with higher levels at hospital discharge and lower levels in the following months. After one year were 42% of the unplanned, and 27% of the planned patients more frail. For both groups were older age, longer hospital length of stay, and discharge location associated with being more frail. Male sex, higher education level and mechanical ventilation were associated with being less frail in the planned patients. CONCLUSION One year after ICU admission, 42% and 27% of the unplanned and planned ICU patients, respectively, were more frail. Insight in the associated factors will help to identify patients at risk, and may help in informing patients and their family members. REGISTRATION ClinicalTrials.gov database (NCT03246334).
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Affiliation(s)
- Wytske Geense
- Department of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - Marieke Zegers
- Department of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Peter Dieperink
- Department of Intensive Care Medicine, University Medical Center Groningen, Groningen, the Netherlands
| | - Hester Vermeulen
- Scientific Center for Quality of Healthcare, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Johannes van der Hoeven
- Department of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Mark van den Boogaard
- Department of Intensive Care Medicine, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
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The authors reply. Crit Care Med 2018; 46:e480. [DOI: 10.1097/ccm.0000000000003031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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