1
|
Carenzo L, Zini L, Mercalli C, Stomeo N, Milani A, Amato K, Gatti R, Costantini E, Aceto R, Protti A, Cecconi M. Health related quality of life, physical function, and cognitive performance in mechanically ventilated COVID-19 patients: A long term follow-up study. J Crit Care 2024; 82:154773. [PMID: 38479299 DOI: 10.1016/j.jcrc.2024.154773] [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: 01/24/2024] [Revised: 02/29/2024] [Accepted: 03/06/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND Survivors of severe COVID-19 related respiratory failure may experience durable functional impairments. We aimed at investigating health-related quality of life (HR-QoL), physical functioning, fatigue, and cognitive outcomes in COVID-19 patients who received invasive mechanical ventilation (IMV). METHODS Case-series, prospective, observational cohort study at 18 months from hospital discharge. Patients referring to the Intensive Care Unit (ICU) of Humanitas Research Hospital (Milan, Italy) were recruited if they needed IMV due to COVID-19 related respiratory failure. After 18 months, these patients underwent the 6-min walking test (6MWT), the Italian version of the 5-level EQ-5D questionnaire (EQ-5D-5L), the Functional Assessment of Chronic Illness Therapy - Fatigue questionnaire (FACIT-F), the Trail Making Test-B (TMT-B) and the Montreal Cognitive Assessment-BLIND test (MoCA-BLIND). RESULTS 105 patients were studied. The population's age was 60 ± 10 years on average, with a median Frailty Scale of 2 (Hodgson et al., 2017; Carenzo et al., 2021a [2,3]). EQ-VAS was 80 [70-90] out of 100, walked distance was 406 [331-465] meters, corresponding to about 74 ± 19,1% of the predicted value. FACIT-F score was 43 [36-49] out of 52, and MoCa-BLIND score was 19 (DeSalvo et al., 2006; von Elm et al., 2008; Herdman et al., 2011; Scalone et al., 2015 [16-20]) out of 22. The median TMT-B time was 90 [62-120] seconds. We found a possible age and gender specific effect on HR-QoL and fatigue. CONCLUSIONS After 18 months from ICU discharge, survivors of severe COVID-19 respiratory failure experience a moderate reduction in HR-QoL, and a severe reduction in physical functioning. Fatigue prevalence is higher in younger patients and in females. Finally, cognitive impairment was present at a low frequency.
Collapse
Affiliation(s)
- Luca Carenzo
- Department of Anesthesia and Intensive Care Medicine, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano (MI), Italy.
| | - Leonardo Zini
- Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele - Milan, Italy
| | - Cesare Mercalli
- Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele - Milan, Italy
| | - Niccolò Stomeo
- Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele - Milan, Italy
| | - Angelo Milani
- Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele - Milan, Italy
| | - Katia Amato
- Department of Physiotherapy, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano (MI), Italy
| | - Roberto Gatti
- Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele - Milan, Italy; Department of Physiotherapy, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano (MI), Italy
| | - Elena Costantini
- Department of Anesthesia and Intensive Care Medicine, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano (MI), Italy
| | - Romina Aceto
- Department of Anesthesia and Intensive Care Medicine, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano (MI), Italy
| | - Alessandro Protti
- Department of Anesthesia and Intensive Care Medicine, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano (MI), Italy; Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele - Milan, Italy
| | - Maurizio Cecconi
- Department of Anesthesia and Intensive Care Medicine, IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano (MI), Italy; Humanitas University, Department of Biomedical Sciences, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele - Milan, Italy
| |
Collapse
|
2
|
Macpherson D, Hutchinson A, Bloomer MJ. Factors that influence critical care nurses' management of sedation for ventilated patients in critical care: A qualitative study. Intensive Crit Care Nurs 2024; 83:103685. [PMID: 38493573 DOI: 10.1016/j.iccn.2024.103685] [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: 12/02/2023] [Revised: 03/05/2024] [Accepted: 03/11/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Optimising sedation use is key to timely extubation. Whilst sedation protocols may be used to guide critical care nurses' management of sedation, sedation management and decision-making is complex, influenced by multiple factors related to patients' circumstances, intensive care unit design and the workforce. AIM To explore (i) critical care nurses' experiences managing sedation in mechanically ventilated patients and (ii) the factors that influence their sedation-related decision-making. DESIGN Qualitative descriptive study using semi-structured interviews. Data were analysed using Braun and Clarke's six-step thematic analysis. SETTING AND PARTICIPANTS This study was conducted in a 26-bed level 3 accredited ICU, in a private hospital in Melbourne, Australia. The majority of patients are admitted following elective surgery. Critical care nurses, who were permanently employed as a registered nurse, worked at least 16 h per week, and cared for ventilated patients, were invited to participate. FINDINGS Thirteen critical care nurses participated. Initially, participants suggested their experiences managing sedation were linked to local unit policy and learning. Further exploration revealed that experiences were synonymous with descriptors of factors influencing sedation decision-making according to three themes: (i) Learning from past experiences, (ii) Situational awareness and (iii) Prioritising safety. Nurses relied on their cumulative knowledge from prior experiences to guide decision-making. Situational awareness about other emergent priorities in the unit, staffing and skill-mix were important factors in guiding sedation decision-making. Safety of patients and staff was essential, at times overriding goals to reduce sedation. CONCLUSION Sedation decision making cannot be considered in isolation. Rather, sedation decision making must take into account outcomes of patient assessment, emergent priorities, unit and staffing factors and safety concerns. IMPLICATIONS FOR CLINICAL PRACTICE Opportunities for ongoing education are essential to promote nurses' situational awareness of other emergent unit priorities, staffing and skill-mix, in addition to evidence-based sedation management and decision making.
Collapse
Affiliation(s)
- Danielle Macpherson
- Intensive Care Unit, Epworth HealthCare Richmond, Victoria, Australia; School of Nursing and Midwifery, Deakin University, Geelong, Victoria, Australia
| | - Anastasia Hutchinson
- School of Nursing and Midwifery, Deakin University, Geelong, Victoria, Australia; Centre for Quality and Patient Safety Research in the Institute for Health Transformation, Deakin University, Geelong, Victoria, Australia; Centre for Quality and Patient Safety Research - Epworth HealthCare Partnership, Richmond, Victoria, Australia
| | - Melissa J Bloomer
- School of Nursing and Midwifery, Griffith University, Nathan, Queensland, Australia; Intensive Care Unit, Princess Alexandra Hospital, Queensland Health, Woolloongabba, Queensland, Australia.
| |
Collapse
|
3
|
Wu JQ, Wang YX, Su D, Shao TH, Ding XX, Sun T, Cui N, Yu ZB. EFFECTS OF LEVOSIMENDAN ON DIAPHRAGMATIC DYSFUNCTION IN PATIENTS WITH SEPSIS. Shock 2024; 62:63-68. [PMID: 38661179 DOI: 10.1097/shk.0000000000002372] [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: 04/26/2024]
Abstract
ABSTRACT Objective: In this study, our aim was to examine the effects of levosimendan on diaphragmatic dysfunction in patients with sepsis, as well as assess its impact on respiratory muscle contractility and the outcome of weaning. Methods: This was a single-blind, randomized, controlled trial. Patients with diaphragmatic dysfunction and failure of spontaneous breathing trials (SBTs) were randomly and equally assigned to the experimental and control groups. The experimental group received levosimendan at a loading dose of 6 μg/kg for 10 min, followed by a continuous infusion at 0.2 μg/kg/min. The control group received an equivalent dose of a placebo. The preadministration and postadministration respiratory mechanics parameters of the patients were recorded. Evaluation of the effect of levosimendan on patients with sepsis-induced diaphragm dysfunction comprised arterial blood gas analysis as well as ultrasound measurements of diaphragm excursion (DE), diaphragm thickness (DT), diaphragm thickening fraction (TFdi), and diaphragm-rapid shallow breathing index (D-RSBI). Results: Forty-four patients were enrolled in the study. We found that postadministration of levosimendan, the patients' tidal volume (GCSMV) increased, whereas the D-RSBI decreased, and the partial pressure of carbon dioxide (PACO 2 ) decreased when compared to the preadministration levels. Additionally, following levosimendan administration, patients showed increased DE and pressure support (PS) when compared to before administration (1.14 ± 0.177 vs. 1.22 ± 0.170 cm and 0.248 ± 0.03 vs. 0.284 ± 0.06, respectively) and decreased D-RSBI (22.76 ± 6.14 vs. 20.06 ± 6.04, respectively), all of which were statistically significant ( P < 0.05). In contrast, in the control group of patients, there were no statistically significant differences in the postadministration levels of DE, TFdi, and D-RSBI as compared to the preadministration period ( P > 0.05). Furthermore, in terms of weaning outcomes, we did not find any statistically significant difference in the number of patients in the two groups who eventually underwent weaning ( P = 0.545). Conclusion: In this study, we found that levosimendan enhanced diaphragm contractile function. However, further investigations are required to explore its effect on weaning outcomes in patients undergoing mechanical ventilation.
Collapse
Affiliation(s)
- Jia-Qian Wu
- Department of Intensive Care Unit, Affiliated Hospital of Hebei University, Baoding City, China
| | | | | | | | | | | | | | | |
Collapse
|
4
|
Hosseini R, Chen Z, Goligher E, Fan E, Ferguson ND, Harhay MO, Sahetya S, Urner M, Yarnell CJ, Heath A. Designing a Bayesian adaptive clinical trial to evaluate novel mechanical ventilation strategies in acute respiratory failure using integrated nested Laplace approximations. Contemp Clin Trials 2024; 142:107560. [PMID: 38735571 DOI: 10.1016/j.cct.2024.107560] [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: 12/16/2023] [Revised: 04/20/2024] [Accepted: 05/01/2024] [Indexed: 05/14/2024]
Abstract
BACKGROUND Adaptive trials usually require simulations to determine values for design parameters, demonstrate error rates, and establish the sample size. We designed a Bayesian adaptive trial comparing ventilation strategies for patients with acute hypoxemic respiratory failure using simulations. The complexity of the analysis would usually require computationally expensive Markov Chain Monte Carlo methods but this barrier to simulation was overcome using the Integrated Nested Laplace Approximations (INLA) algorithm to provide fast, approximate Bayesian inference. METHODS We simulated two-arm Bayesian adaptive trials with equal randomization that stratified participants into two disease severity states. The analysis used a proportional odds model, fit using INLA. Trials were stopped based on pre-specified posterior probability thresholds for superiority or futility, separately for each state. We calculated the type I error and power across 64 scenarios that varied the probability thresholds and the initial minimum sample size before commencing adaptive analyses. Two designs that maintained a type I error below 5%, a power above 80%, and a feasible mean sample size were evaluated further to determine the optimal design. RESULTS Power generally increased as the initial sample size and the futility threshold increased. The chosen design had an initial recruitment of 500 and a superiority threshold of 0.9925, and futility threshold of 0.95. It maintained high power and was likely to reach a conclusion before exceeding a feasible sample size. CONCLUSIONS We designed a Bayesian adaptive trial to evaluate novel strategies for ventilation using the INLA algorithm to efficiently evaluate a wide range of designs through simulation.
Collapse
Affiliation(s)
- Reyhaneh Hosseini
- Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
| | - Ziming Chen
- Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada
| | - Ewan Goligher
- Department of Medicine, Division of Respirology, University Health Network, Toronto, ON, Canada
| | - Eddy Fan
- Department of Medicine, Division of Respirology, University Health Network, Toronto, ON, Canada; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada; Insititute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | - Niall D Ferguson
- Department of Medicine, Division of Respirology, University Health Network, Toronto, ON, Canada; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada; Insititute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | - Michael O Harhay
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sarina Sahetya
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Martin Urner
- Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Canada; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada
| | - Christopher J Yarnell
- Department of Medicine, Division of Respirology, University Health Network, Toronto, ON, Canada; Insititute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
| | - Anna Heath
- Child Health Evaluative Sciences, Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Department of Statistical Science, University College London, London, UK.
| |
Collapse
|
5
|
Bianchi A, Mokart D, Leone M. Cancer and sepsis: future challenges for long-term outcome. Curr Opin Crit Care 2024:00075198-990000000-00179. [PMID: 38841906 DOI: 10.1097/mcc.0000000000001173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
PURPOSE OF REVIEW The purpose of this review is to investigate the long-term outcomes of cancer patients who experience sepsis or septic shock. RECENT FINDINGS Sepsis is a frequent cause of ICU admission in cancer patients, accounting for approximately 15% of such cases. Short-term mortality rates among these patients vary widely across studies, but they are consistently found to be slightly higher than those of noncancer patients. However, there is a lack of evidence regarding the long-term outcomes of cancer patients who have experienced sepsis or septic shock. The few available studies have reported relatively high mortality rates, reaching around 80% in a few cohort studies. Although several observational studies have noted a decrease in 1-year mortality rates over time, observational data also suggest that sepsis may increase the risk of cancer in the long run. SUMMARY As cancer is becoming a chronic disease, there is an urgent need for studies on the quality of life of cancer patients who have experienced sepsis. The relationship between sepsis and cancer extends beyond its impact on the progression of cancer, as sepsis might also contribute to the development of cancer.
Collapse
Affiliation(s)
- Antoine Bianchi
- Department of Anesthesiology and Intensive Care Unit, Aix Marseille University, Assistance Publique Hopitaux Universitaires de Marseille
| | - Djamel Mokart
- Department of Anesthesiology and Intensive Care Unit, Institut Paoli Calmettes, Marseille, France
| | - Marc Leone
- Department of Anesthesiology and Intensive Care Unit, Aix Marseille University, Assistance Publique Hopitaux Universitaires de Marseille
| |
Collapse
|
6
|
Yarnell CJ, Barrett K, Heath A, Herridge M, Fowler RA, Sung L, Naimark DM, Tomlinson G. What Is the Potential Value of a Randomized Trial of Different Thresholds to Initiate Invasive Ventilation? A Health Economic Analysis. Crit Care Explor 2024; 6:e1098. [PMID: 38836575 DOI: 10.1097/cce.0000000000001098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024] Open
Abstract
OBJECTIVES To estimate the expected value of undertaking a future randomized controlled trial of thresholds used to initiate invasive ventilation compared with usual care in hypoxemic respiratory failure. PERSPECTIVE Publicly funded healthcare payer. SETTING Critical care units capable of providing invasive ventilation and unconstrained by resource limitations during usual (nonpandemic) practice. METHODS We performed a model-based cost-utility estimation with individual-level simulation and value-of-information analysis focused on adults, admitted to critical care, receiving noninvasive oxygen. In the primary scenario, we compared hypothetical threshold A to usual care, where threshold A resulted in increased use of invasive ventilation and improved survival compared with usual care. In the secondary scenario, we compared hypothetical threshold B to usual care, where threshold B resulted in decreased use of invasive ventilation and similar survival compared with usual care. We assumed a willingness-to-pay of 100,000 Canadian dollars (CADs) per quality-adjusted life year. RESULTS In the primary scenario, threshold A was cost-effective compared with usual care due to improved hospital survival (78.1% vs. 75.1%), despite more use of invasive ventilation (62% vs. 30%) and higher lifetime costs (86,900 vs. 75,500 CAD). In the secondary scenario, threshold B was cost-effective compared with usual care due to similar survival (74.5% vs. 74.6%) with less use of invasive ventilation (20.2% vs. 27.6%) and lower lifetime costs (71,700 vs. 74,700 CAD). Value-of-information analysis showed that the expected value to Canadian society over 10 years of a 400-person randomized trial comparing a threshold for invasive ventilation to usual care in hypoxemic respiratory failure was 1.35 billion CAD or more in both scenarios. CONCLUSIONS It would be highly valuable to society to identify thresholds that, in comparison to usual care, either increase survival or reduce invasive ventilation without reducing survival.
Collapse
Affiliation(s)
- Christopher J Yarnell
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- Department of Critical Care Medicine, Scarborough Health Network, Toronto, ON, Canada
- Scarborough Health Network Research Institute, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Kali Barrett
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Medicine, Division of Respirology, University Health Network and Sinai Health System, Toronto, ON, Canada
| | - Anna Heath
- Child Health Evaluative Sciences, The Hospital for Sick Children, Toronto, ON, Canada
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
- Department of Statistical Science, University College London, London, United Kingdom
| | - Margaret Herridge
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- Department of Medicine, Division of Respirology, University Health Network and Sinai Health System, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Robert A Fowler
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Institute for Clinical Evaluative Sciences, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Department of Medicine and Department of Critical Care Medicine, Toronto, ON, Canada
| | - Lillian Sung
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, ON, Canada
| | - David M Naimark
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Department of Medicine, Division of Nephrology, Toronto, ON, Canada
| | - George Tomlinson
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Medicine, University Health Network and Sinai Health System, Toronto, ON, Canada
| |
Collapse
|
7
|
Patsaki I, Kouvarakos A, Vasileiadis I, Koumantakis GA, Ischaki E, Grammatopoulou E, Kotanidou A, Magira EE. Low-Medium and High-Intensity Inspiratory Muscle Training in Critically Ill Patients: A Systematic Review and Meta-Analysis. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:869. [PMID: 38929486 PMCID: PMC11205434 DOI: 10.3390/medicina60060869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 05/21/2024] [Accepted: 05/24/2024] [Indexed: 06/28/2024]
Abstract
Background and objectives: Mechanical ventilation is often used in intensive care units to assist patients' breathing. This often leads to respiratory muscle weakness and diaphragmatic dysfunction, causing weaning difficulties. Inspiratory muscle training (IMT) has been found to be beneficial in increasing inspiratory muscle strength and facilitating weaning. Over the years, different protocols and devices have been used. Materials and Methods: The aim of this systematic review and meta-analysis was to investigate the effectiveness of low-medium (LM-IMT) and high-intensity (H-IMT) threshold inspiratory muscle training in critically ill patients. A systematic literature search was performed for randomized controlled trials (RCTs) in the electronic databases Google Scholar, PubMed, Scopus, and Science Direct. The search involved screening for studies examining the effectiveness of two different intensities of threshold IMT in critically ill patients published the last 10 years. The Physiotherapy Evidence Database (PEDro) scale was chosen as the tool to assess the quality of studies. A meta-analysis was performed where possible. Results: Fourteen studies were included in the systematic review, with five of them having high methodological quality. Conclusions: When examining LM-IMT and H-IMT though, neither was able to reach statistically significant improvement in their maximal inspiratory pressure (MIP), while LM-IMT reached it in terms of weaning duration. Additionally, no statistical difference was noticed in the duration of mechanical ventilation. The application of IMT is recommended to ICU patients in order to prevent diaphragmatic dysfunction and facilitate weaning from mechanical ventilation. Therefore, further research as well as additional RCTs regarding different protocols are needed to enhance its effectiveness.
Collapse
Affiliation(s)
- Irini Patsaki
- Laboratory of Advanced Physiotherapy, Physiotherapy Department, School of Health & Care Sciences, University of West Attica (UNIWA), 12243 Athens, Greece (G.A.K.)
| | - Alexandros Kouvarakos
- Laboratory of Advanced Physiotherapy, Physiotherapy Department, School of Health & Care Sciences, University of West Attica (UNIWA), 12243 Athens, Greece (G.A.K.)
- 1st Critical Care Department, General Hospital of Athens “Evagelismos”, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Ioannis Vasileiadis
- 1st Critical Care Department, General Hospital of Athens “Evagelismos”, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Georgios A. Koumantakis
- Laboratory of Advanced Physiotherapy, Physiotherapy Department, School of Health & Care Sciences, University of West Attica (UNIWA), 12243 Athens, Greece (G.A.K.)
| | - Eleni Ischaki
- 1st Critical Care Department, General Hospital of Athens “Evagelismos”, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Eirini Grammatopoulou
- Laboratory of Advanced Physiotherapy, Physiotherapy Department, School of Health & Care Sciences, University of West Attica (UNIWA), 12243 Athens, Greece (G.A.K.)
| | - Anastasia Kotanidou
- 1st Critical Care Department, General Hospital of Athens “Evagelismos”, National and Kapodistrian University of Athens, 11527 Athens, Greece
| | - Eleni E. Magira
- 1st Critical Care Department, General Hospital of Athens “Evagelismos”, National and Kapodistrian University of Athens, 11527 Athens, Greece
| |
Collapse
|
8
|
Wu YC, Liao HC, Chou YC, Wang PW, Chung MH, Liu WH. Analysis of short-term ventilation weaning for patients in spontaneous supratentorial intracranial hemorrhage. Medicine (Baltimore) 2024; 103:e38163. [PMID: 38758888 PMCID: PMC11098254 DOI: 10.1097/md.0000000000038163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 04/17/2024] [Indexed: 05/19/2024] Open
Abstract
Prolonged ventilation is a complication of spontaneous supratentorial hemorrhage patients, but the predictive relationship with successful weaning in this patient cohort is not understood. Here, we evaluate the incidence and factors of ventilation weaning in case of spontaneous supratentorial hemorrhage. We retrospectively studied data from 166 patients in the same hospital from January 2015 to March 2021 and analyzed factors for ventilation weaning. The clinical data recorded included patient age, gender, timing of operation, initial Glasgow Coma Scale (GCS), Intracranial hemorrhage (ICH) score, alcohol drinking, cigarette smoking, medical comorbidity, and the blood data. Predictors of patient outcomes were determined by the Student t test, chi-square test, and logistic regression. We recruited and followed 166 patients who received operation for spontaneous supratentorial hemorrhage with cerebral herniation. The group of successful weaning had 84 patients and the group of weaning failed had 82 patients. The patient's age, type of operation, GCS on admission to the Intensive care unit (ICU), GCS at discharge from the ICU, medical comorbidity was significantly associated with successful weaning, according to Student t test and the chi-square test. According to our findings, patients with stereotaxic surgery, less history of cardiovascular or prior cerebral infarction, GCS >8 before admission to the hospital for craniotomy, and a blood albumin value >3.5 g/dL have a higher chance of being successfully weaned off the ventilator within 14 days.
Collapse
Affiliation(s)
- Yi-Chieh Wu
- Department of Neurological Surgery, Tri-Service General Hospital and National Defense Medical Center, Taipei, Taiwan
| | - Hsiang-Chih Liao
- Department of Neurological Surgery, Tri-Service General Hospital and National Defense Medical Center, Taipei, Taiwan
| | - Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei, Taiwan
| | - Peng-Wei Wang
- Department of Neurological Surgery, Tri-Service General Hospital and National Defense Medical Center, Taipei, Taiwan
| | - Ming-Hsuan Chung
- Department of Neurological Surgery, Tri-Service General Hospital and National Defense Medical Center, Taipei, Taiwan
| | - Wei-Hsiu Liu
- Department of Neurological Surgery, Tri-Service General Hospital and National Defense Medical Center, Taipei, Taiwan
- Department of Surgery, School of Medicine, National Defense Medical Center, Taipei, Taiwan
| |
Collapse
|
9
|
Jacobs JM, Rahamim A, Beil M, Guidet B, Vallet H, Flaatten H, Leaver SK, de Lange D, Szczeklik W, Jung C, Sviri S. Critical care beyond organ support: the importance of geriatric rehabilitation. Ann Intensive Care 2024; 14:71. [PMID: 38727919 PMCID: PMC11087448 DOI: 10.1186/s13613-024-01306-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 04/29/2024] [Indexed: 05/13/2024] Open
Abstract
Very old critically ill patients pose a growing challenge for intensive care. Critical illness and the burden of treatment in the intensive care unit (ICU) can lead to a long-lasting decline of functional and cognitive abilities, especially in very old patients. Multi-complexity and increased vulnerability to stress in these patients may lead to new and worsening disabilities, requiring careful assessment, prevention and rehabilitation. The potential for rehabilitation, which is crucial for optimal functional outcomes, requires a systematic, multi-disciplinary approach and careful long-term planning during and following ICU care. We describe this process and provide recommendations and checklists for comprehensive and timely assessments in the context of transitioning patients from ICU to post-ICU and acute hospital care, and review the barriers to the provision of good functional outcomes.
Collapse
Affiliation(s)
- Jeremy M Jacobs
- Department of Geriatric Rehabilitation and the Center for Palliative Care. Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ana Rahamim
- Geriatric Unit, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Michael Beil
- Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Bertrand Guidet
- Assistance Publique - Hôpitaux de Paris, Hôpital Saint-Antoine, Service de Réanimation Médicale, Paris, France
- Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, Paris, France
| | - Helene Vallet
- Department of Geriatrics, Centre d'immunologie et de Maladies Infectieuses (CIMI), Institut National de la Santé et de la Recherche Médicale (INSERM), UMRS 1135, Saint Antoine, Assistance Publique Hôpitaux de Paris,, Sorbonne Université, Paris, France
| | - Hans Flaatten
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Research and Development, Haukeland University Hospital, Bergen, Norway
| | - Susannah K Leaver
- General Intensive Care, Department of Critical Care Medicine, St George's NHS Foundation Trust, London, UK
| | - Dylan de Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Wojciech Szczeklik
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Christian Jung
- Department of Cardiology, Pulmonology and Vascular Medicine, Faculty of Medicine, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
| | - Sigal Sviri
- Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| |
Collapse
|
10
|
Paton M, Chan S, Serpa Neto A, Tipping CJ, Stratton A, Lane R, Romero L, Broadley T, Hodgson CL. Association of active mobilisation variables with adverse events and mortality in patients requiring mechanical ventilation in the intensive care unit: a systematic review and meta-analysis. THE LANCET. RESPIRATORY MEDICINE 2024; 12:386-398. [PMID: 38513675 DOI: 10.1016/s2213-2600(24)00011-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 01/07/2024] [Accepted: 01/17/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Mobilisation during critical illness is now included in multiple clinical practice guidelines. However, a large, randomised trial and systematic review have recently identified an increased probability of adverse events and mortality in patients who received early active mobilisation in the intensive care unit (ICU). We aimed to determine the effects of mobilisation compared with usual care on adverse events and mortality in an acute ICU setting. In subgroup analyses, we specifically aimed to investigate possible sources of harm, including the timing and duration of mobilisation achieved, ventilation status, and admission diagnosis. METHODS In this systematic review with frequentist and Bayesian analyses, we searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials, CINAHL, SPORTDiscus, SCOPUS, Web of Science, and PEDro electronic databases, as well as clinical trial registries (ICTRP and ClinicalTrials.gov), from inception to March 16, 2023, without language restrictions. Eligible studies were randomised controlled trials that examined active mobilisation compared with either no mobilisation or mobilisation commencing later, or at a lower frequency or intensity, in adults who were critically ill during or after a period of mechanical ventilation in an acute ICU setting. Two authors independently screened reports, extracted data, and assessed the risk of bias using the Cochrane risk-of-bias tool (version 1). The primary outcome was the number of adverse events that occurred during the implementation of mobilisation, with the effect of mobilisation on mortality being the secondary outcome. Risk ratios (RRs) with 95% CIs were calculated in R (version 4.0.3) using random-effects modelling, with Bayesian analysis completed to calculate the probability of treatment harm (ie, RR >1). Subgroup analyses were completed to investigate the association of various factors of mobilisation on adverse events and mortality: duration of mobilisation (longer [≥20 min per day] vs shorter [<20 min per day]), timing of commencement (early [≤72 h from ICU admission] vs late [>72 h from ICU admission]), ventilation status at commencement (all patients mechanically ventilated vs all patients extubated), and ICU admission diagnosis (surgical vs medical). This study was registered with PROSPERO, CRD42022369272. FINDINGS After title and abstract screening of 14 440 studies and review of 466 full texts, 67 trials with 7004 participants met inclusion criteria, with 59 trials contributing to the meta-analysis. Of the 67 included studies, 15 (22%) did not mention adverse events and 13 (19%) reported no adverse events occurring across the trial period. Overall, we found no effect of mobilisation compared with usual care on the occurrence of adverse events (RR 1·09 [95% CI 0·69-1·74], p=0·71; I2 91%; 32 731 events, 20 studies; very low certainty), with a 2·96% occurrence rate (693 events in 23 395 intervention sessions; 25 studies). Mobilisation did not have any effect on mortality (RR 0·98 [95% CI 0·87-1·12], p=0·81; I2 0%; n=6218, 58 studies; moderate certainty). Subgroup analysis was hindered by the large amount of data that could not be allocated and analysed, making the results hypothesis generating only. INTERPRETATION Implementation of mobilisation in the ICU was associated with a less than 3% chance of an adverse event occurring and was not found to increase adverse events or mortality overall, providing reassurance for clinicians about the safety of performing this intervention. Subgroup analyses did not clearly identify any specific variable of mobilisation implementation that increased harm. FUNDING None.
Collapse
Affiliation(s)
- Michelle Paton
- Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Department of Physiotherapy, Monash Health, Clayton, VIC, Australia
| | - Sarah Chan
- Department of Physiotherapy, Monash Health, Clayton, VIC, Australia
| | - Ary Serpa Neto
- Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Department of Critical Care, University of Melbourne, Melbourne, VIC, Australia; Department of Critical Care Medicine, Hospital Israelita Albert Einstein, Sao Paulo, Brazil
| | - Claire J Tipping
- Department of Physiotherapy, Alfred Health, Melbourne, VIC, Australia
| | - Anne Stratton
- Department of Physiotherapy, Alfred Health, Melbourne, VIC, Australia
| | - Rebecca Lane
- School of Health Sciences, Swinburne University, Hawthorn, VIC, Australia
| | - Lorena Romero
- Ian Potter Library, Alfred Health, Melbourne, VIC, Australia
| | - Tessa Broadley
- Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Carol L Hodgson
- Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia; Department of Critical Care, University of Melbourne, Melbourne, VIC, Australia; Department of Physiotherapy, Alfred Health, Melbourne, VIC, Australia; Critical Care Division, The George Institute for Global Health, Sydney, NSW, Australia.
| |
Collapse
|
11
|
Vanderlelie L, Bosich S, O'Grady H, Azizi K, Lally J, Micks S, Sandhu S, Whyte B, Kho ME. Arm cycle ergometry in critically ill patients: A systematic review. Aust Crit Care 2024:S1036-7314(24)00024-9. [PMID: 38580486 DOI: 10.1016/j.aucc.2024.01.008] [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: 09/30/2023] [Revised: 12/14/2023] [Accepted: 01/21/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Intensive care unit (ICU) survivors face functional limitations due to ICU-acquired weakness. Arm cycle ergometry (ACE) introduced in the ICU may improve physical function. To our knowledge, there is limited evidence on the effectiveness of ACE and physical function outcomes in critically ill patients. OBJECTIVE The objective of this systematic review was to examine the impact of ICU-based ACE on physical function, safety, and other clinical outcomes. REVIEW METHOD USED Systematic Review. DATA SOURCES A search of seven databases was conducted from the inception to January 1, 2023: Medline Ahead of Print, Ovid MEDLINE(R), Allied and Complementary Medicine Database (AMED), Embase, Cochrane Central, Physiotherapy Evidence Database, and Cumulative Index to Nursing and Allied Health Literature (CINAHL). REVIEW METHODS We included two arm studies of critically ill adults admitted to the ICU who received ACE and any comparator for our primary outcome, physical function. Our secondary outcomes included severe events. We included safety studies with or without a comparator group. Screening, data abstraction, and risk-of-bias assessments were completed independently, in duplicate. We used the Grading of Recommendations, Assessment, Development, and Evaluation approach to assess the overall certainty of evidence. RESULTS We screened 651 citations and included eight studies that enrolled 183 patients. Due to heterogeneity, meta-analysis was not performed. For our primary outcome, one randomised controlled trial found significant improvements in physical function, measured by the Barthel Index with ACE, whereas a nonrandomised study showed no difference. Out of the six studies reporting safety, none reported any severe safety events. The overall certainty of evidence was very low. CONCLUSION ACE initiated in the ICU is a likely safe intervention. Based on the limited ACE studies and heterogeneity between studies, further research with more rigorous studies evaluating important outcomes for patients is needed.
Collapse
Affiliation(s)
- Lauren Vanderlelie
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada.
| | - Sandra Bosich
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada
| | - Heather O'Grady
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada
| | - Karim Azizi
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada
| | - Jasdeep Lally
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada
| | - Sarah Micks
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada
| | - Saheb Sandhu
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada
| | - Bailey Whyte
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada
| | - Michelle E Kho
- School of Rehabilitation Sciences, McMaster University, Hamilton, ON, Canada; St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.
| |
Collapse
|
12
|
Munshi L, Dumas G, Rochwerg B, Shoukat F, Detsky M, Fergusson DA, Ferreyro BL, Heffernan P, Herridge M, Magder S, Minden M, Patel R, Qureshi S, Schimmer A, Thyagu S, Wang HT, Mehta S. Long-term survival and functional outcomes of critically ill patients with hematologic malignancies: a Canadian multicenter prospective study. Intensive Care Med 2024; 50:561-572. [PMID: 38466402 DOI: 10.1007/s00134-024-07349-z] [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] [Received: 10/16/2023] [Accepted: 02/05/2024] [Indexed: 03/13/2024]
Abstract
PURPOSE Patients with hematologic malignancy (HM) commonly develop critical illness. Their long-term survival and functional outcomes have not been well described. METHODS We conducted a prospective, observational study of HM patients admitted to seven Canadian intensive care units (ICUs) (2018-2020). We followed survivors at 7 days, 6 months and 12 months following ICU discharge. The primary outcome was 12-month survival. We evaluated functional outcomes at 6 and 12 months using the functional independent measure (FIM) and short form (SF)-36 as well as variables associated with 12-month survival. RESULTS We enrolled 414 patients including 35% women. The median age was 61 (interquartile range, IQR: 52-69), median Sequential Organ Failure Assessment (SOFA) score was 9 (IQR: 6-12), and 22% had moderate-severe frailty (clinical frailty scale [CFS] ≥ 6). 51% had acute leukemia, 38% lymphoma/multiple myeloma, and 40% had received a hematopoietic stem cell transplant (HCT). The most common reasons for ICU admission were acute respiratory failure (50%) and sepsis (40%). Overall, 203 (49%) were alive 7 days post-ICU discharge (ICU survivors). Twelve-month survival of the entire cohort was 21% (43% across ICU survivors). The proportion of survivors with moderate-severe frailty was 42% (at 7 days), 14% (6 months), and 8% (12 months). Median FIM at 7 days was 80 (IQR: 50-109). Physical function, pain, social function, mental health, and emotional well-being were below age- and sex-matched population scores at 6 and 12 months. Frailty, allogeneic HCT, kidney injury, and cardiac complications during ICU were associated with lower 12- month survival. CONCLUSIONS 49% of all HM patients were alive at 7 days post-ICU discharge, and 21% at 12 months. Survival varied based upon hematologic diagnosis and frailty status. Survivors had important functional disability and impairment in emotional, physical, and general well-being.
Collapse
Affiliation(s)
- Laveena Munshi
- Interdepartmental Division of Critical Care Medicine, Department of Medicine, Sinai Health System, Mount Sinai Hospital, University of Toronto, 600 University Avenue, Toronto, ON, M5G 1X5, Canada.
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
| | - Guillaume Dumas
- Service de Médecine Intensive-Réanimation, CHU Grenoble-Alpes, Université Grenoble-Alpes, INSERM U1042-HP2, Grenoble, France
| | - Bram Rochwerg
- Department of Medicine, Evidence and Impact, McMaster University, Hamilton, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
| | - Farah Shoukat
- Interdepartmental Division of Critical Care Medicine, Department of Medicine, Sinai Health System, Mount Sinai Hospital, University of Toronto, 600 University Avenue, Toronto, ON, M5G 1X5, Canada
| | - Michael Detsky
- Interdepartmental Division of Critical Care Medicine, Department of Medicine, Sinai Health System, Mount Sinai Hospital, University of Toronto, 600 University Avenue, Toronto, ON, M5G 1X5, Canada
| | - Dean A Fergusson
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Bruno L Ferreyro
- Interdepartmental Division of Critical Care Medicine, Department of Medicine, Sinai Health System, Mount Sinai Hospital, University of Toronto, 600 University Avenue, Toronto, ON, M5G 1X5, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
| | - Paul Heffernan
- Department of Medicine at Queen's University, Kingston General Health Research Institute, Kingston Health Sciences Centre, Kingston, ON, Canada
| | - Margaret Herridge
- Department of Medicine, Interdepartmental Division of Critical Care Medicine, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada
| | - Sheldon Magder
- Department of Medicine, Royal Victoria Hospital, The Research Institute of the McGill University Health Centre, McGill University, Montreal, QC, Canada
- Critical Care Department, Royal Victoria Hospital, The Research Institute of the McGill University Health Centre, McGill University, Montreal, QC, Canada
| | - Mark Minden
- Division of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Rakesh Patel
- Department of Medicine, Ottawa Hospital, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
- Department of Critical Care Medicine, Ottawa Hospital, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Salman Qureshi
- Department of Medicine, Research Institute of the McGill University Health Centre, McGill University, Montreal, QC, Canada
| | - Aaron Schimmer
- Division of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Santhosh Thyagu
- Division of Medical Oncology & Hematology, Department of Medicine, Princess Margaret Cancer Center, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Han Ting Wang
- Division of Critical Care MedicineDepartment of Medicine at Hopital Maisonneuve-Rosemont, University of Montreal, Montreal, QC, Canada
| | - Sangeeta Mehta
- Interdepartmental Division of Critical Care Medicine, Department of Medicine, Sinai Health System, Mount Sinai Hospital, University of Toronto, 600 University Avenue, Toronto, ON, M5G 1X5, Canada
| |
Collapse
|
13
|
Miles M, Davenport P, Mathur S, Goligher EC, Rozenberg D, Reid WD. Intermittent neck flexion induces greater sternocleidomastoid deoxygenation than inspiratory threshold loading. Eur J Appl Physiol 2024; 124:1151-1161. [PMID: 37923886 DOI: 10.1007/s00421-023-05338-6] [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: 05/18/2023] [Accepted: 10/08/2023] [Indexed: 11/06/2023]
Abstract
PURPOSE To compare deoxygenation of the sternocleidomastoid, scalenes, and diaphragm/intercostals (Dia/IC) during submaximal intermittent neck flexion (INF) versus submaximal inspiratory threshold loading (ITL) in healthy adults. METHODS Fourteen participants performed a randomized, cross-over, repeated measures design. After evaluation of maximal inspiratory pressures (MIP) and maximum voluntary contraction (MVC) for isometric neck flexion, participants were randomly assigned to submaximal ITL or INF until task failure. At least 2 days later, they performed the submaximal exercises in the opposite order. ITL or INF targeted 50 ± 5% of the MIP or MVC, respectively, until task failure. Near-infrared spectroscopy (NIRS) was applied to evaluate changes of deoxy-hemoglobin (ΔHHb), oxy-hemoglobin (ΔO2Hb), total hemoglobin (ΔtHb), and tissue saturation of oxygen (StO2) of the sternocleidomastoid, scalenes, and Dia/IC. Breathlessness and perceived exertion were evaluated using Borg scales. RESULTS Initially during INF, sternocleidomastoid HHb slope was greatest compared to the scalenes and Dia/IC. At isotime (6.5-7 min), ΔtHb (a marker of blood volume) and ΔO2Hb of the sternocleidomastoid were higher during INF than ITL. Sternocleidomastoid HHb, O2Hb, and tHb during INF also increased at quartile and task failure timepoints. In contrast, scalene ΔO2Hb was higher during ITL than INF at isotime. Further, Dia/IC O2Hb and tHb increased during ITL at the third quartile and at task failure. Borg scores were lower at task failure during INF compared to ITL. CONCLUSION Intermittent INF induces significant metabolic activity of the sternocleidomastoid and a lower perception of effort, which may provide an alternative inspiratory muscle training approach for mechanically ventilated patients.
Collapse
Affiliation(s)
- Melissa Miles
- Department of Physical Therapy, University of Toronto, 160-500 University Avenue, Toronto, ON, M5G 1V7, Canada
| | - Paul Davenport
- Department of Physiological Sciences, University of Florida, Gainesville, FL, USA
| | - Sunita Mathur
- School of Rehabilitation Therapy, Faculty of Health Sciences, Queens University, Kingston, ON, Canada
| | - Ewan C Goligher
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Dmitry Rozenberg
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- Division of Respirology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - W Darlene Reid
- Department of Physical Therapy, University of Toronto, 160-500 University Avenue, Toronto, ON, M5G 1V7, Canada.
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
- KITE Research Institute-Toronto Rehab, University Health Network, Toronto, ON, Canada.
| |
Collapse
|
14
|
Kang J, Lee MH. Incidence rate and risk factors for post-intensive care syndrome subtypes among critical care survivors three months after discharge: A prospective cohort study. Intensive Crit Care Nurs 2024; 81:103605. [PMID: 38157567 DOI: 10.1016/j.iccn.2023.103605] [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: 08/28/2023] [Revised: 11/16/2023] [Accepted: 12/11/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVES To investigate the incidence of post-intensive care syndrome subtypes and their risk factors among intensive care unit survivors. RESEARCH METHODOLOGY/DESIGN This prospective observational cohort study assessed post-intensive care syndrome at three months after discharge in 475 survivors (median age of 62 years, 59.4 % male) admitted for more than 24 hours to 19 intensive care units. SETTING 19 intensive care units at four university hospitals in Korea. MAIN OUTCOME MEASURES Three months after discharge, the Hospital Anxiety and Depression Scale, Posttraumatic Diagnosis Scale, Montreal Cognitive Assessment, and Activities of Daily Living were used to evaluate post-intensive care syndrome. RESULTS Participants exhibited eight subtypes of post-intensive care syndrome: post-intensive care syndrome free (50.3 %), impaired in physical (3.4 %), mental (13.5 %), cognitive (12.4 %), physical and mental (7.8 %), physical and cognitive (2.3 %), mental and cognitive (4.0 %) and all three domains (6.3 %). Age, unemployment, education, comorbidities, unplanned admission, longer stay, and place of discharge were risk factors for each domain. Age ≥ 65 years (OR 9.234, p < .001), female gender (OR = 5.143, p = .002), two or more comorbidities (OR = 8.701, p = .002), and discharge to an extended care facility (OR = 36.040, p < .001) were associated with increased probability of impairment in all three domains. CONCLUSION The type with impaired in both mental and physical domains was the most prevalent in cases of co-occurrence. Discharge to an extended care facility was one of the most significant risk factor for the occurrence of each domain and intensity of post-intensive care syndrome. IMPLICATIONS FOR CLINICAL PRACTICE Nurses must promote prevention strategies by proactively evaluating intensive care unit survivors for post-intensive care syndrome risk factors. Additionally, it is necessary to raise healthcare providers' awareness of post-intensive care syndrome evaluation and management in extended care facilities.
Collapse
Affiliation(s)
- Jiyeon Kang
- College of Nursing, Dong-A University, Busan, South Korea
| | - Min Hye Lee
- College of Nursing, Dong-A University, Busan, South Korea.
| |
Collapse
|
15
|
Hongo T, Yumoto T, Inaba M, Taito S, Yorifuji T, Nakao A, Naito H. Long-term, patient-centered, frailty-based outcomes of older critical illness survivors from the emergency department: a post hoc analysis of the LIFE Study. BMC Geriatr 2024; 24:257. [PMID: 38491464 PMCID: PMC10941380 DOI: 10.1186/s12877-024-04881-x] [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: 11/16/2023] [Accepted: 03/08/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND Evidence indicates frailty before intensive care unit (ICU) admission leads to poor outcomes. However, it is unclear whether quality of life (QOL) and activities of daily living (ADL) for survivors of critical illness admitted to the ICU via the emergency department remain consistent or deteriorate in the long-term compared to baseline. This study aimed to evaluate long-term QOL/ADL outcomes in these patients, categorized by the presence or absence of frailty according to Clinical Frailty Scale (CFS) score, as well as explore factors that influence these outcomes. METHODS This was a post-hoc analysis of a prospective, multicenter, observational study conducted across Japan. It included survivors aged 65 years or older who were admitted to the ICU through the emergency department. Based on CFS scores, participants were categorized into either the not frail group or the frail group, using a threshold CFS score of < 4. Our primary outcome was patient-centered outcomes (QOL/ADL) measured by the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) and the Barthel Index six months post-ICU admission, comparing results from baseline. Secondary outcomes included exploration of factors associated with QOL/ADL six months post-ICU admission using multiple linear regression analyses. RESULTS Of 514 candidates, 390 participants responded to the EQ-5D-5L questionnaire, while 237 responded to the Barthel Index. At six months post-admission, mean EQ-5D-5L values declined in both the not frail and frail groups (0.80 to 0.73, p = 0.003 and 0.58 to 0.50, p = 0.002, respectively); Barthel Index scores also declined in both groups (98 to 83, p < 0.001 and 79 to 61, p < 0.001, respectively). Multiple linear regression analysis revealed that baseline frailty (β coefficient, -0.15; 95% CI, - 0.23 to - 0.07; p < 0.001) and pre-admission EQ-5D-5L scores (β coefficient, 0.14; 95% CI, 0.02 to 0.26; p = 0.016) affected EQ-5D-5L scores at six months. Similarly, baseline frailty (β coefficient, -12.3; 95% CI, - 23.9 to - 0.80; p = 0.036) and Barthel Index scores (β coefficient, 0.54; 95% CI, 0.30 to 0.79; p < 0.001) influenced the Barthel Index score at six months. CONCLUSIONS Regardless of frailty, older ICU survivors from the emergency department were more likely to experience reduced QOL and ADL six months after ICU admission compared to baseline.
Collapse
Affiliation(s)
- Takashi Hongo
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Tetsuya Yumoto
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
| | - Mototaka Inaba
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Shunsuke Taito
- Department of Clinical Practice and Support, Hiroshima University Hospital, 1-2-3 Minamiku Kasumi, Hiroshima, 734-0037, Japan
| | - Takashi Yorifuji
- Department of Epidemiology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Atsunori Nakao
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Hiromichi Naito
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| |
Collapse
|
16
|
Gómez CA, Brochard L, Goligher EC, Rozenberg D, Reid WD, Roblyer D. Combined frequency domain near-infrared spectroscopy and diffuse correlation spectroscopy system for comprehensive metabolic monitoring of inspiratory muscles during loading. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:035002. [PMID: 38532926 PMCID: PMC10965138 DOI: 10.1117/1.jbo.29.3.035002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 03/08/2024] [Accepted: 03/12/2024] [Indexed: 03/28/2024]
Abstract
Significance Mechanical ventilation (MV) is a cornerstone technology in the intensive care unit as it assists with the delivery of oxygen in critically ill patients. The process of weaning patients from MV can be long and arduous and can lead to serious complications for many patients. Despite the known importance of inspiratory muscle function in the success of weaning, current clinical standards do not include direct monitoring of these muscles. Aim The goal of this project was to develop and validate a combined frequency domain near-infrared spectroscopy (FD-NIRS) and diffuse correlation spectroscopy (DCS) system for the noninvasive characterization of inspiratory muscle response to a load. Approach The system was fabricated by combining a custom digital FD-NIRS and DCS system. It was validated via liquid phantom titrations and a healthy volunteer study. The sternocleidomastoid (SCM), an accessory muscle of inspiration, was monitored during a short loading period in fourteen young, healthy volunteers. Volunteers performed two different respiratory exercises, a moderate load and a high load, which consisted of a one-minute baseline, a one-minute load, and a six-minute recovery period. Results The system has low crosstalk between absorption, reduced scattering, and flow when tested in a set of liquid titrations. Faster dynamics were observed for changes in blood flow index (BF i ), and metabolic rate of oxygen (MRO 2 ) compared with hemoglobin + myoglobin (Hb+Mb) based parameters after the onset of loads in males. Additionally, larger percent changes in BF i , and MRO 2 were observed compared with Hb+Mb parameters in both males and females. There were also sex differences in baseline values of oxygenated Hb+Mb, total Hb+Mb, and tissue saturation. Conclusions The dynamic characteristics of Hb+Mb concentration and blood flow were distinct during loading of the SCM, suggesting that the combination of FD-NIRS and DCS may provide a more complete picture of inspiratory muscle dynamics.
Collapse
Affiliation(s)
- Carlos A. Gómez
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| | - Laurent Brochard
- St. Michael’s Hospital, Unity Health Toronto, Li Ka Shing Knowledge Institute, Keenan Research Centre, Toronto, Ontario, Canada
- St. Michael’s Hospital, Department of Critical Care, Toronto, Ontario, Canada
- University of Toronto, Interdepartmental Division of Critical Care Medicine, Toronto, Ontario, Canada
| | - Ewan C. Goligher
- University of Toronto, Interdepartmental Division of Critical Care Medicine, Toronto, Ontario, Canada
- University Health Network, Toronto General Hospital Research Institute, Toronto, Ontario, Canada
- University of Toronto, Department of Physiology, Toronto, Ontario, Canada
| | - Dmitry Rozenberg
- University Health Network, Toronto General Hospital Research Institute, Ajmera Transplant Center, Toronto, Ontario, Canada
- University of Toronto, Division of Respirology, Temerty Faculty of Medicine, Toronto, Ontario, Canada
| | - W. Darlene Reid
- University of Toronto, Department of Physical Therapy, Toronto, Ontario, Canada
- University of Toronto, Interdepartmental Division of Critical Care Medicine, Toronto, Ontario, Canada
- University Health Network, KITE – Toronto Rehabilitation Institute, Toronto, Ontario, Canada
| | - Darren Roblyer
- Boston University, Department of Biomedical Engineering, Boston, Massachusetts, United States
| |
Collapse
|
17
|
Wozniak H, Beckmann TS, Dos Santos Rocha A, Pugin J, Heidegger CP, Cereghetti S. Long-stay ICU patients with frailty: mortality and recovery outcomes at 6 months. Ann Intensive Care 2024; 14:31. [PMID: 38401034 PMCID: PMC10894177 DOI: 10.1186/s13613-024-01261-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 02/09/2024] [Indexed: 02/26/2024] Open
Abstract
BACKGROUND Prolonged intensive care unit (ICU) stay is associated with physical, cognitive, and psychological disabilities. The impact of baseline frailty on long-stay ICU patients remains uncertain. This study aims to investigate how baseline frailty influences mortality and post-ICU disability 6 months after critical illness in long-stay ICU patients. METHODS In this retrospective cohort study, we assessed patients hospitalized for ≥ 7 days in the ICU between May 2018 and May 2021, following them for up to 6 months or until death. Based on the Clinical Frailty Scale (CFS) at ICU admissions, patients were categorized as frail (CFS ≥ 5), pre-frail (CFS 3-4) and non-frail (CFS 1-2). Kaplan-Meier curves and a multivariate Cox model were used to examine the association between frailty and mortality. At the 6 month follow-up, we assessed psychological, physical, cognitive outcomes, and health-related quality of life (QoL) using descriptive statistics and linear regressions. RESULTS We enrolled 531 patients, of which 178 (33.6%) were frail, 200 (37.6%) pre-frail and 153 (28.8%) non-frail. Frail patients were older, had more comorbidities, and greater disease severity at ICU admission. At 6 months, frail patients presented higher mortality rates than pre-frail and non-frail patients (34.3% (61/178) vs. 21% (42/200) vs. 13.1% (20/153) respectively, p < 0.01). The rate of withdrawing or withholding of care did not differ significantly between the groups. Compared with CFS 1-2, the adjusted hazard ratios of death at 6 months were 1.7 (95% CI 0.9-2.9) for CFS 3-4 and 2.9 (95% CI 1.7-4.9) for CFS ≥ 5. At 6 months, 192 patients were seen at a follow-up consultation. In multivariate linear regressions, CFS ≥ 5 was associated with poorer physical health-related QoL, but not with poorer mental health-related QoL, compared with CFS 1-2. CONCLUSION Frailty is associated with increased mortality and poorer physical health-related QoL in long-stay ICU patients at 6 months. The admission CFS can help inform patients and families about the complexities of survivorship during a prolonged ICU stay.
Collapse
Affiliation(s)
- Hannah Wozniak
- Division of Critical Care, Department of Anesthesiology, Pharmacology and Intensive Care, Geneva University Hospitals, Geneva, Switzerland.
- Division of Critical Care Medicine, University of Toronto, Toronto, Canada.
| | - Tal Sarah Beckmann
- Division of Anesthesiology, Department of Anesthesiology, Pharmacology and Intensive Care, Geneva University Hospitals, Geneva, Switzerland
| | - Andre Dos Santos Rocha
- Division of Anesthesiology, Department of Anesthesiology, Pharmacology and Intensive Care, Geneva University Hospitals, Geneva, Switzerland
| | - Jérôme Pugin
- Division of Critical Care, Department of Anesthesiology, Pharmacology and Intensive Care, Geneva University Hospitals, Geneva, Switzerland
| | - Claudia-Paula Heidegger
- Division of Critical Care, Department of Anesthesiology, Pharmacology and Intensive Care, Geneva University Hospitals, Geneva, Switzerland
| | - Sara Cereghetti
- Division of Critical Care, Department of Anesthesiology, Pharmacology and Intensive Care, Geneva University Hospitals, Geneva, Switzerland
| |
Collapse
|
18
|
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.
Collapse
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
| |
Collapse
|
19
|
Daum N, Drewniok N, Bald A, Ulm B, Buyukli A, Grunow JJ, Schaller SJ. Early mobilisation within 72 hours after admission of critically ill patients in the intensive care unit: A systematic review with network meta-analysis. Intensive Crit Care Nurs 2024; 80:103573. [PMID: 37948898 DOI: 10.1016/j.iccn.2023.103573] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Revised: 10/18/2023] [Accepted: 10/23/2023] [Indexed: 11/12/2023]
Abstract
INTRODUCTION Early mobilisation within 72 hours of intensive care unit admission counteracts complications caused by critical illness. The effect of different interventions on intensive care unit length of stay and other outcomes is unclear. We aimed to investigate the effectiveness of various early mobilisation interventions within 72 hours of admission to the intensive care unit on length of stay and other outcomes. METHODS A systematic review and (network) meta-analysis examining the effect of early mobilisation on length of stay in the intensive care unit and other outcomes, conducting searches in four databases. Randomised controlled trials were included from inception to 10/08/2022. Early mobilisation was defined as interventions that initiates and/or supports passive/active range-of-motion exercises within 72 hours of admission. In multi-arm studies, interventions used in other studies were declared as early intervention and were included in subgroup meta-analysis. Risk-of-bias was assessed using RoB2. RESULTS Of 29,680 studies screened, 18 studies with 1923 patients (three high, eleven some, four low risk-of-bias) and seven discriminable interventions of early mobilisation met inclusion criteria. Early mobilisation alone (WMD 0.78 days, 95 %CI [-1.38;-0.18], 11 studies, n = 1124) and early mobilisation with early nutrition (WMD -1.19 days, 95 %CI [-2.34;-0.03], 1 study, n = 100) were able to significantly shorten length of stay. Early mobilisation alone could also substantially shorten hospital length of stay (WMD -1.05 days, 95 %CI [-1.74;-0.36], 8 studies, n = 977). This effect in hospital length of stay was furthermore seen in the early intervention group compared with standard care (WMD -1.71 days, 95 %CI [-2.99;-0.43], 14 studies, n = 1587). Also, functionality and quality of life could significantly be improved by an early start of mobilisation. CONCLUSION In the network meta-analysis, early mobilisation alone and early mobilisation with early nutrition demonstrated a significant effect on intensive care length of stay. Early mobilisation could also reduce hospital length of stay and positively influence functionality and quality of life. IMPLICATION FOR CLINICAL PRACTICE Early mobilisation and early mobilisation with early nutrition seemed to be beneficial compared to other interventions like cycling on intensive care length of stay.
Collapse
Affiliation(s)
- Nils Daum
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Department of Anaesthesiology and Intensive Care Medicine (CCM/CVK), Germany
| | - Nils Drewniok
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Department of Anaesthesiology and Intensive Care Medicine (CCM/CVK), Germany
| | - Annika Bald
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Department of Anaesthesiology and Intensive Care Medicine (CCM/CVK), Germany
| | - Bernhard Ulm
- Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Department of Anaesthesiology and Intensive Care Medicine, Germany; Department of Anesthesiology and Intensive Care Medicine, University of Ulm, Faculty of Medicine, Ulm, Germany
| | - Alyona Buyukli
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Department of Anaesthesiology and Intensive Care Medicine (CCM/CVK), Germany
| | - Julius J Grunow
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Department of Anaesthesiology and Intensive Care Medicine (CCM/CVK), Germany
| | - Stefan J Schaller
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Department of Anaesthesiology and Intensive Care Medicine (CCM/CVK), Germany; Technical University of Munich, School of Medicine and Health, Klinikum rechts der Isar, Department of Anaesthesiology and Intensive Care Medicine, Germany.
| |
Collapse
|
20
|
Abdelmalek FM, Angriman F, Moore J, Liu K, Burry L, Seyyed-Kalantari L, Mehta S, Gichoya J, Celi LA, Tomlinson G, Fralick M, Yarnell CJ. Association between Patient Race and Ethnicity and Use of Invasive Ventilation in the United States. Ann Am Thorac Soc 2024; 21:287-295. [PMID: 38029405 DOI: 10.1513/annalsats.202305-485oc] [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] [Received: 05/29/2023] [Accepted: 11/28/2023] [Indexed: 12/01/2023] Open
Abstract
Rationale: Outcomes for people with respiratory failure in the United States vary by patient race and ethnicity. Invasive ventilation is an important treatment initiated based on expert opinion. It is unknown whether the use of invasive ventilation varies by patient race and ethnicity. Objectives: To measure 1) the association between patient race and ethnicity and the use of invasive ventilation; and 2) the change in 28-day mortality mediated by any association. Methods: We performed a multicenter cohort study of nonintubated adults receiving oxygen within 24 hours of intensive care admission using the Medical Information Mart for Intensive Care IV (MIMIC-IV, 2008-2019) and Phillips eICU (eICU, 2014-2015) databases from the United States. We modeled the association between patient race and ethnicity (Asian, Black, Hispanic, White) and invasive ventilation rate using a Bayesian multistate model that adjusted for baseline and time-varying covariates, calculated hazard ratios (HRs), and estimated 28-day hospital mortality changes mediated by differential invasive ventilation use. We reported posterior means and 95% credible intervals (CrIs). Results: We studied 38,258 patients, 52% (20,032) from MIMIC-IV and 48% (18,226) from eICU: 2% Asian (892), 11% Black (4,289), 5% Hispanic (1,964), and 81% White (31,113). Invasive ventilation occurred in 9.2% (3,511), and 7.5% (2,869) died. The adjusted rate of invasive ventilation was lower in Asian (HR, 0.82; CrI, 0.70-0.95), Black (HR, 0.78; CrI, 0.71-0.86), and Hispanic (HR, 0.70; CrI, 0.61-0.79) patients compared with White patients. For the average patient, lower rates of invasive ventilation did not mediate differences in 28-day mortality. For a patient on high-flow nasal cannula with inspired oxygen fraction of 1.0, the odds ratios for mortality if invasive ventilation rates were equal to the rate for White patients were 0.97 (CrI, 0.91-1.03) for Asian patients, 0.96 (CrI, 0.91-1.03) for Black patients, and 0.94 (CrI, 0.89-1.01) for Hispanic patients. Conclusions: Asian, Black, and Hispanic patients had lower rates of invasive ventilation than White patients. These decreases did not mediate harm for the average patient, but we could not rule out harm for patients with more severe hypoxemia.
Collapse
Affiliation(s)
| | - Federico Angriman
- Institute of Health Policy, Management, and Evaluation
- Interdepartmental Division of Critical Care Medicine
- Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
| | - Julie Moore
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
- University Health Network/Sinai Health, Toronto, Ontario, Canada
| | - Kuan Liu
- Institute of Health Policy, Management, and Evaluation
| | - Lisa Burry
- Interdepartmental Division of Critical Care Medicine
- Leslie Dan Faculty of Pharmacy, and
- University Health Network/Sinai Health, Toronto, Ontario, Canada
| | - Laleh Seyyed-Kalantari
- Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, Ontario, Canada
| | - Sangeeta Mehta
- Interdepartmental Division of Critical Care Medicine
- University Health Network/Sinai Health, Toronto, Ontario, Canada
| | - Judy Gichoya
- Department of Radiology and Biomedical Informatics, Emory University, Atlanta, Georgia
| | - Leo Anthony Celi
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts; and
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - George Tomlinson
- Institute of Health Policy, Management, and Evaluation
- University Health Network/Sinai Health, Toronto, Ontario, Canada
| | - Michael Fralick
- University Health Network/Sinai Health, Toronto, Ontario, Canada
| | - Christopher J Yarnell
- Institute of Health Policy, Management, and Evaluation
- Interdepartmental Division of Critical Care Medicine
- University Health Network/Sinai Health, Toronto, Ontario, Canada
- Department of Critical Care Medicine and
- Scarborough Health Network Research Institute, Scarborough Health Network, Toronto, Ontario, Canada
| |
Collapse
|
21
|
Guidet B, Vallet H, Flaatten H, Joynt G, Bagshaw SM, Leaver SK, Beil M, Du B, Forte DN, Angus DC, Sviri S, de Lange D, Herridge MS, Jung C. The trajectory of very old critically ill patients. Intensive Care Med 2024; 50:181-194. [PMID: 38236292 DOI: 10.1007/s00134-023-07298-z] [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: 10/02/2023] [Accepted: 11/27/2023] [Indexed: 01/19/2024]
Abstract
The demographic shift, together with financial constraint, justify a re-evaluation of the trajectory of care of very old critically ill patients (VIP), defined as older than 80 years. We must avoid over- as well as under-utilisation of critical care interventions in this patient group and ensure the inclusion of health care professionals, the patient and their caregivers in the decision process. This new integrative approach mobilises expertise at each step of the process beginning prior to intensive care unit (ICU) admission and extending to long-term follow-up. In this review, several international experts have contributed to provide recommendations that can be universally applied. Our aim is to define a minimum core dataset of information to be shared and discussed prior to ICU admission and to facilitate the shared-decision-making process with the patient and their caregivers, throughout the patient journey. Documentation of uncertainty may contribute to a tailored level of care and ultimately to discussions around possible limitations of life sustaining treatments. The goal of ICU care is not only to avoid death, but more importantly to maintain an acceptable quality of life and functional autonomy after hospital discharge. Societal consideration is important to highlight, together with alternatives to ICU admission. We discuss challenges for the future and potential areas of research. In summary, this review provides a state-of-the-art current overview and aims to outline future directions to address the challenges in the treatment of VIP.
Collapse
Affiliation(s)
- Bertrand Guidet
- Medical ICU, Assistance Publique, Hôpitaux de Paris, Hôpital Saint-Antoine, Service de Réanimation Médicale, 75012, Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1136, Institut Pierre Louis d'Epidémiologie et de Santé Publique, 75013, Paris, France.
| | - Helene Vallet
- Department of Geriatrics, Sorbonne Université, Institut National de la Santé Et de la Recherche Médicale (INSERM), UMRS 1135, Centre d'immunologie et de Maladies Infectieuses (CIMI), Saint Antoine, Assistance Publique Hôpitaux de Paris (AP-HP), 75012, Paris, France
| | - Hans Flaatten
- Department of Clinical Medicine, Haukeland University Hospital, University of Bergen, Department of Research and Development, Haukeland University Hospital, Bergen, Norway
| | - Gavin Joynt
- Department of Anaesthesia and Intensive Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Sean M Bagshaw
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta and Alberta Health Services, Edmonton, Canada
| | | | - Michael Beil
- Department of Medical Intensive Care, Faculty of Medicine, Hebrew University and Hadassah University Medical Center, Jerusalem, Israel
| | - Bin Du
- Medical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Daniel N Forte
- Departament of Emergency Medicine, Faculdade de Medicina, Universidade de São Paulo, Hospital Sírio-Libanês, São Paulo, Brazil
| | - Derek C Angus
- Critical Care Medicine, UPMC and University of Pittsburgh, Pittsburgh, USA
| | - Sigal Sviri
- Department of Medical Intensive Care, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Dylan de Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Margaret S Herridge
- Interdepartmental Division of Critical Care Medicine, Critical Care and Respiratory Medicine, University Health Network, Toronto General Research Institute, Institute of Medical Sciences, University of Toronto, Toronto, Canada
| | - Christian Jung
- Department of Cardiology, Pulmonology and Angiology, University Hospital, Düsseldorf, Germany
| |
Collapse
|
22
|
Haines KJ, Ferrante LE. Prediction of Post-ICU Impairments-Is It Possible? Crit Care Med 2024; 52:337-340. [PMID: 38240513 DOI: 10.1097/ccm.0000000000006082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Affiliation(s)
- Kimberley J Haines
- Department of Physiotherapy, Western Health, Melbourne, VIC, Australia
- Department of Critical Care, School of Medicine, The University of Melbourne, Melbourne, VIC, Australia
| | - Lauren E Ferrante
- Section of Pulmonary, Critical Care, & Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT
| |
Collapse
|
23
|
Stewart J, Bradley J, Smith S, McPeake J, Walsh T, Haines K, Leggett N, Hart N, McAuley D. Do critical illness survivors with multimorbidity need a different model of care? Crit Care 2023; 27:485. [PMID: 38066562 PMCID: PMC10709866 DOI: 10.1186/s13054-023-04770-6] [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: 10/11/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
There is currently a lack of evidence on the optimal strategy to support patient recovery after critical illness. Previous research has largely focussed on rehabilitation interventions which aimed to address physical, psychological, and cognitive functional sequelae, the majority of which have failed to demonstrate benefit for the selected outcomes in clinical trials. It is increasingly recognised that a person's existing health status, and in particular multimorbidity (usually defined as two or more medical conditions) and frailty, are strongly associated with their long-term outcomes after critical illness. Recent evidence indicates the existence of a distinct subgroup of critical illness survivors with multimorbidity and high healthcare utilisation, whose prior health trajectory is a better predictor of long-term outcomes than the severity of their acute illness. This review examines the complex relationships between multimorbidity and patient outcomes after critical illness, which are likely mediated by a range of factors including the number, severity, and modifiability of a person's medical conditions, as well as related factors including treatment burden, functional status, healthcare delivery, and social support. We explore potential strategies to optimise patient recovery after critical illness in the presence of multimorbidity. A comprehensive and individualized approach is likely necessary including close coordination among healthcare providers, medication reconciliation and management, and addressing the physical, psychological, and social aspects of recovery. Providing patient-centred care that proactively identifies critical illness survivors with multimorbidity and accounts for their unique challenges and needs is likely crucial to facilitate recovery and improve outcomes.
Collapse
Affiliation(s)
- Jonathan Stewart
- Centre for Experimental Medicine, Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, Northern Ireland.
| | - Judy Bradley
- Centre for Experimental Medicine, Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, Northern Ireland
| | - Susan Smith
- Department of Public Health and Primary Care, Trinity College Dublin, Dublin 2, Ireland
| | - Joanne McPeake
- The Healthcare Improvement Studies Institute, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Timothy Walsh
- Usher Institute, University of Edinburgh, Edinburgh, Scotland, UK
| | - Kimberley Haines
- Department of Critical Care, Melbourne Medical School, University of Melbourne, Melbourne, Australia
| | - Nina Leggett
- Department of Critical Care, Melbourne Medical School, University of Melbourne, Melbourne, Australia
| | - Nigel Hart
- Centre for Medical Education, Queen's University Belfast, Belfast, Northern Ireland
| | - Danny McAuley
- Centre for Experimental Medicine, Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, Northern Ireland
| |
Collapse
|
24
|
Angriman F, Ferreyro BL, Harhay MO, Wunsch H, Rosella LC, Scales DC. Accounting for Competing Events When Evaluating Long-Term Outcomes in Survivors of Critical Illness. Am J Respir Crit Care Med 2023; 208:1158-1165. [PMID: 37769125 PMCID: PMC10868356 DOI: 10.1164/rccm.202305-0790cp] [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] [Received: 07/16/2023] [Accepted: 10/18/2023] [Indexed: 09/30/2023] Open
Abstract
The clinical trajectory of survivors of critical illness after hospital discharge can be complex and highly unpredictable. Assessing long-term outcomes after critical illness can be challenging because of possible competing events, such as all-cause death during follow-up (which precludes the occurrence of an event of particular interest). In this perspective, we explore challenges and methodological implications of competing events during the assessment of long-term outcomes in survivors of critical illness. In the absence of competing events, researchers evaluating long-term outcomes commonly use the Kaplan-Meier method and the Cox proportional hazards model to analyze time-to-event (survival) data. However, traditional analytical and modeling techniques can yield biased estimates in the presence of competing events. We present different estimands of interest and the use of different analytical approaches, including changes to the outcome of interest, Fine and Gray regression models, cause-specific Cox proportional hazards models, and generalized methods (such as inverse probability weighting). Finally, we provide code and a simulated dataset to exemplify the application of the different analytical strategies in addition to overall reporting recommendations.
Collapse
Affiliation(s)
- Federico Angriman
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, and
| | - Bruno L. Ferreyro
- Interdepartmental Division of Critical Care Medicine
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, and
- Department of Critical Care Medicine, University Health Network and Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Michael O. Harhay
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hannah Wunsch
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, and
- ICES, Toronto, Ontario, Canada; and
| | - Laura C. Rosella
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada; and
- Institute for Better Health, Trillium Health Partners, Mississauga, Ontario, Canada
| | - Damon C. Scales
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, and
- ICES, Toronto, Ontario, Canada; and
| |
Collapse
|
25
|
Gómez CA, Brochard L, Goligher EC, Rozenberg D, Reid WD, Roblyer D. A combined frequency domain near infrared spectroscopy and diffuse correlation spectroscopy system for comprehensive metabolic monitoring of inspiratory muscles during loading. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.30.569133. [PMID: 38076980 PMCID: PMC10705398 DOI: 10.1101/2023.11.30.569133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Significance Mechanical ventilation (MV) is a cornerstone technology in the intensive care unit as it assists with the delivery of oxygen in critical ill patients. The process of weaning patients from MV can be long, and arduous and can lead to serious complications for many patients. Despite the known importance of inspiratory muscle function in the success of weaning, current clinical standards do not include direct monitoring of these muscles. Aim The goal of this project was to develop and validate a combined frequency domain near infrared spectroscopy (FD-NIRS) and diffuse correlation spectroscopy (DCS) system for the noninvasive characterization of inspiratory muscle response to a load. Approach The system was fabricated by combining a custom digital FD-NIRS and DCS system. It was validated via liquid phantom titrations and a healthy volunteer study. The sternocleidomastoid (SCM), an accessory muscle of inspiration, was monitored during a short loading period in fourteen young healthy volunteer. Volunteers performed two different respiratory exercises, a moderate and high load, which consisted of a one-minute baseline, a one-minute load, and a six-minute recovery period. Results The system has low crosstalk between absorption, reduced scattering, and flow when tested in a set of liquid titrations. Faster dynamics were observed for changes in blood flow index (BFi), and metabolic rate of oxygen (MRO2) compared to hemoglobin + myoglobin (Hb+Mb) based parameters after the onset of loads in males. Additionally, larger percent changes in BFi, and MRO2 were observed compared to Hb+Mb parameters in both males and females. There were also sex differences in baseline values of oxygenated Hb+Mb, total Hb+Mb, and tissue saturation. Conclusion The dynamic characteristics of Hb+Mb concentration and blood flow were distinct during loading of the SCM, suggesting that the combination of FD-NIRS and DCS may provide a more complete picture of inspiratory muscle dynamics.
Collapse
Affiliation(s)
- Carlos A Gómez
- Department of Biomedical Engineering, Boston University, Boston, MA 02125, USA
| | - Laurent Brochard
- Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Department of Critical Care, St. Michael's Hospital, Toronto, ON, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
| | - Ewan C Goligher
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - Dmitry Rozenberg
- Division of Respirology, Temerty Faculty of Medicine, University of Toronto, ON, Canada
- Department of Physical Therapy, University of Toronto, Toronto, ON, Canada
| | - W Darlene Reid
- Department of Physical Therapy, University of Toronto, Toronto, ON, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada
- KITE - Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Darren Roblyer
- Department of Biomedical Engineering, Boston University, Boston, MA 02125, USA
| |
Collapse
|
26
|
Davies TW, Kelly E, van Gassel RJJ, van de Poll MCG, Gunst J, Casaer MP, Christopher KB, Preiser JC, Hill A, Gundogan K, Reintam-Blaser A, Rousseau AF, Hodgson C, Needham DM, Schaller SJ, McClelland T, Pilkington JJ, Sevin CM, Wischmeyer PE, Lee ZY, Govil D, Chapple L, Denehy L, Montejo-González JC, Taylor B, Bear DE, Pearse RM, McNelly A, Prowle J, Puthucheary ZA. A systematic review and meta-analysis of the clinimetric properties of the core outcome measurement instruments for clinical effectiveness trials of nutritional and metabolic interventions in critical illness (CONCISE). Crit Care 2023; 27:450. [PMID: 37986015 PMCID: PMC10662687 DOI: 10.1186/s13054-023-04729-7] [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] [Received: 09/14/2023] [Accepted: 11/09/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND CONCISE is an internationally agreed minimum set of outcomes for use in nutritional and metabolic clinical research in critically ill adults. Clinicians and researchers need to be aware of the clinimetric properties of these instruments and understand any limitations to ensure valid and reliable research. This systematic review and meta-analysis were undertaken to evaluate the clinimetric properties of the measurement instruments identified in CONCISE. METHODS Four electronic databases were searched from inception to December 2022 (MEDLINE via Ovid, EMBASE via Ovid, CINAHL via Healthcare Databases Advanced Search, CENTRAL via Cochrane). Studies were included if they examined at least one clinimetric property of a CONCISE measurement instrument or recognised variation in adults ≥ 18 years with critical illness or recovering from critical illness in any language. The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist for systematic reviews of Patient-Reported Outcome Measures was used. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses were used in line with COSMIN guidance. The COSMIN checklist was used to evaluate the risk of bias and the quality of clinimetric properties. Overall certainty of the evidence was rated using a modified Grading of Recommendations, Assessment, Development and Evaluation approach. Narrative synthesis was performed and where possible, meta-analysis was conducted. RESULTS A total of 4316 studies were screened. Forty-seven were included in the review, reporting data for 12308 participants. The Short Form-36 Questionnaire (Physical Component Score and Physical Functioning), sit-to-stand test, 6-m walk test and Barthel Index had the strongest clinimetric properties and certainty of evidence. The Short Physical Performance Battery, Katz Index and handgrip strength had less favourable results. There was limited data for Lawson Instrumental Activities of Daily Living and the Global Leadership Initiative on Malnutrition criteria. The risk of bias ranged from inadequate to very good. The certainty of the evidence ranged from very low to high. CONCLUSIONS Variable evidence exists to support the clinimetric properties of the CONCISE measurement instruments. We suggest using this review alongside CONCISE to guide outcome selection for future trials of nutrition and metabolic interventions in critical illness. TRIAL REGISTRATION PROSPERO (CRD42023438187). Registered 21/06/2023.
Collapse
Affiliation(s)
- T W Davies
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK.
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK.
| | - E Kelly
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK
| | - R J J van Gassel
- Department of Intensive Care Medicine, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Surgery, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - M C G van de Poll
- Department of Intensive Care Medicine, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Surgery, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - J Gunst
- Clinical Department and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Louvain, Belgium
| | - M P Casaer
- Clinical Department and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Louvain, Belgium
| | - K B Christopher
- Division of Renal Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - J C Preiser
- Medical Direction, Erasme University Hospital, Universite Libre de Bruxelles, Brussels, Belgium
| | - A Hill
- Department of Intensive Care Medicine, University Hospital RWTH, 52074, Aachen, Germany
- Department of Anesthesiology, University Hospital RWTH, 52074, Aachen, Germany
| | - K Gundogan
- Division of Intensive Care Medicine, Department of Internal Medicine, Erciyes University School of Medicine, Kayseri, Turkey
| | - A Reintam-Blaser
- Department of Anaesthesiology and Intensive Care, University of Tartu, Tartu, Estonia
- Department of Intensive Care Medicine, Lucerne Cantonal Hospital, Lucerne, Switzerland
| | - A-F Rousseau
- Department of Intensive Care, University Hospital of Liège, Liege, Belgium
| | - C Hodgson
- Australian and New Zealand Intensive Care Research Centre, School of Public Health and Preventive Medicine, Monash University, 3/553 St Kilda Rd, Melbourne, VIC, 3004, Australia
- Department of Intensive Care and Hyperbaric Medicine, The Alfred, Melbourne, VIC, Australia
| | - D M Needham
- Outcomes After Critical Illness and Surgery (OACIS) Research Group, Johns Hopkins University, Baltimore, MD, USA
- Pulmonary and Critical Care Medicine, Department of Medicine, and Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - S J Schaller
- Department of Anesthesiology and Intensive Care Medicine (CVK, CCM), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
- Department of Anesthesiology and Intensive Care, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
| | - T McClelland
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK
| | - J J Pilkington
- Centre for Bioscience, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester, UK
| | - C M Sevin
- Department of Medicine, Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - P E Wischmeyer
- Department of Anesthesiology, Duke University School of Medicine, DUMC, Box 3094 Mail # 41, 2301 Erwin Road, Durham, NC, 5692 HAFS27710, USA
| | - Z Y Lee
- Department of Anesthesiology, University of Malaya, Kuala Lumpur, Malaysia
- Department of Cardiac, Anesthesiology & Intensive Care Medicine, Charité, Berlin, Germany
| | - D Govil
- Institute of Critical Care and Anesthesia, Medanta: The Medicty, Gurugram, Haryana, India
| | - L Chapple
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - L Denehy
- School of Health Sciences, The University of Melbourne, Melbourne, Australia
- Department of Allied Health, Peter McCallum Cancer Centre, Melbourne, Australia
| | - J C Montejo-González
- Instituto de Investigación I+12, Hospital Universitario, 12 de Octubre, Madrid, Spain
| | - B Taylor
- Department of Research for Patient Care Services, Barnes-Jewish Hospital, St. Louis, MO, USA
| | - D E Bear
- Department of Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, UK
- Department of Nutrition and Dietetics, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - R M Pearse
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK
| | - A McNelly
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
| | - J Prowle
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK
| | - Z A Puthucheary
- Faculty of Medicine & Dentistry, Queen Mary University of London, London, EC1M 6BQ, UK
- Critical Care and Perioperative Medicine Research Group, Adult Critical Care Unit, Royal London Hospital, London, E1 1BB, UK
| |
Collapse
|
27
|
Lin C, Chao WC, Pai KC, Yang TY, Wu CL, Chan MC. Prolonged use of neuromuscular blocking agents is associated with increased long-term mortality in mechanically ventilated medical ICU patients: a retrospective cohort study. J Intensive Care 2023; 11:55. [PMID: 37978572 PMCID: PMC10655355 DOI: 10.1186/s40560-023-00696-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 10/23/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Neuromuscular blockade agents (NMBAs) can be used to facilitate mechanical ventilation in critically ill patients. Accumulating evidence has shown that NMBAs may be associated with intensive care unit (ICU)-acquired weakness and poor outcomes. However, the long-term impact of NMBAs on mortality is still unclear. METHODS We conducted a retrospective analysis using the 2015-2019 critical care databases at Taichung Veterans General Hospital, a referral center in central Taiwan, as well as the Taiwan nationwide death registry profile. RESULTS A total of 5709 ventilated patients were eligible for further analysis, with 63.8% of them were male. The mean age of enrolled subjects was 67.8 ± 15.8 years, and the one-year mortality was 48.3% (2755/5709). Compared with the survivors, the non-survivors had a higher age (70.4 ± 14.9 vs 65.4 ± 16.3, p < 0.001), Acute Physiology and Chronic Health Evaluation II score (28.0 ± 6.2 vs 24.7 ± 6.5, p < 0.001), a longer duration of ventilator use (12.6 ± 10.6 days vs 7.8 ± 8.5 days, p < 0.001), and were more likely to receive NMBAs for longer than 48 h (11.1% vs 7.8%, p < 0.001). After adjusting for age, sex, and relevant covariates, the use of NMBAs for longer than 48 h was found to be independently associated with an increased risk of mortality (adjusted HR: 1.261; 95% CI: 1.07-1.486). The analysis of effect modification revealed that this association was tended to be strong in patients with a Charlson Comorbidity Index of 3 or higher. CONCLUSIONS Our study demonstrated that prolonged use of NMBAs was associated with an increased risk of long-term mortality in critically ill patients requiring mechanical ventilation. Further studies are needed to validate our findings.
Collapse
Affiliation(s)
- Chun Lin
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wen-Cheng Chao
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
- Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan
- Big Data Center, Chung Hsing University, Taichung, Taiwan
| | - Kai-Chih Pai
- College of Engineering, Tunghai University, Taichung, Taiwan
| | - Tsung-Ying Yang
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Life Sciences, National Chung Hsing University, Taichung, Taiwan
| | - Chieh-Liang Wu
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Ming-Cheng Chan
- Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan.
- Division of Critical Care and Respiratory Therapy, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan.
| |
Collapse
|
28
|
Ling X, Wei S, Ling D, Cao S, Chang R, Wang Q, Yuan Z. Irf7 regulates the expression of Srg3 and ferroptosis axis aggravated sepsis-induced acute lung injury. Cell Mol Biol Lett 2023; 28:91. [PMID: 37946128 PMCID: PMC10634032 DOI: 10.1186/s11658-023-00495-0] [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] [Received: 05/24/2023] [Accepted: 09/27/2023] [Indexed: 11/12/2023] Open
Abstract
OBJECTIVE To investigate the mechanism of action of Srg3 in acute lung injury caused by sepsis. METHODS First, a sepsis-induced acute lung injury rat model was established using cecal ligation and puncture (CLP). RNA sequencing (RNA-seq) was used to screen for highly expressed genes in sepsis-induced acute lung injury (ALI), and the results showed that Srg3 was significantly upregulated. Then, SWI3-related gene 3 (Srg3) was knocked down using AAV9 vector in vivo, and changes in ALI symptoms in rats were analyzed. In vitro experiments were conducted by establishing a cell model using lipopolysaccharide (LPS)-induced BEAS-2B cells and coculturing them with phorbol 12-myristate 13-acetate (PMA)-treated THP-1 cells to analyze macrophage polarization. Next, downstream signaling pathways regulated by Srg3 and transcription factors involved in regulating Srg3 expression were analyzed using the KEGG database. Finally, gain-of-loss functional validation experiments were performed to analyze the role of downstream signaling pathways regulated by Srg3 and transcription factors involved in regulating Srg3 expression in sepsis-induced acute lung injury. RESULTS Srg3 was significantly upregulated in sepsis-induced acute lung injury, and knocking down Srg3 significantly improved the symptoms of ALI in rats. Furthermore, in vitro experiments showed that knocking down Srg3 significantly weakened the inhibitory effect of LPS on the viability of BEAS-2B cells and promoted alternative activation phenotype (M2) macrophage polarization. Subsequent experiments showed that Srg3 can regulate the activation of the NF-κB signaling pathway and promote ferroptosis. Specific activation of the NF-κB signaling pathway or ferroptosis significantly weakened the effect of Srg3 knockdown. It was then found that Srg3 can be transcriptionally activated by interferon regulatory factor 7 (Irf7), and specific inhibition of Irf7 significantly improved the symptoms of ALI. CONCLUSIONS Irf7 transcriptionally activates the expression of Srg3, which can promote ferroptosis and activate classical activation phenotype (M1) macrophage polarization by regulating the NF-κB signaling pathway, thereby exacerbating the symptoms of septic lung injury.
Collapse
Affiliation(s)
- Xinyu Ling
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Shiyou Wei
- Department of Anesthesiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Dandan Ling
- Department of Anesthesiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Siqi Cao
- School of Clinical Medicine, Weifang Medical University, Weifang, 261053, Shandong, China
| | - Rui Chang
- Medical Department, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China
| | - Qiuyun Wang
- Department of Anesthesiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Zhize Yuan
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
| |
Collapse
|
29
|
Ackermans LLGC, Bels JLM, Seethaler B, van Dinter M, Schweinlin A, van de Poll MCG, Bischoff SC, Poeze M, Blokhuis TJ, Ten Bosch JA. Serum metabolomics analysis for quantification of muscle loss in critically ill patients: An explorative study. Clin Nutr ESPEN 2023; 57:617-623. [PMID: 37739714 DOI: 10.1016/j.clnesp.2023.08.012] [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: 07/31/2023] [Accepted: 08/10/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND During Intensive Care Unit (ICU) admission, patients demonstrate up to 15% muscle loss per week, contributing to neuromuscular weakness, complicating recovery and delaying return to daily life. Biomarkers for muscle loss could aid in early detection of patients at risk and help guide resources to mitigate muscle loss, e.g. physical therapy and protein supplementation. AIMS To explore serum biomarkers for muscle mass and muscle loss in ICU patients using a metabolomics approach. METHODS Mechanically ventilated patients with an unplanned ICU admission between June and December 2021 were prospectively studied. The cross-sectional area of the rectus femoris muscle was assessed using ultrasound (RFcsa) and 188 serum metabolites were assessed using the Biocrates™ AbsoluteIDQ p180 kit for targeted metabolomics. Patients were eligible for analysis when a serum sample drawn within 5 days of ICU admission and at least 1 RFcsa were available. In patients with sequential RFcsa measurements, muscle loss was defined as the negative slope of the regression line fitted to the RFcsa measurements per patient in the first 10 days of ICU admission. Correlations between baseline metabolite concentrations and baseline muscle mass, as well as between baseline metabolite concentrations and muscle loss were assessed using Pearson's test for correlations. To correct for multiple testing, the Benjamini-Hochberg procedure was used. RESULTS Seventeen patients were eligible for analysis. Mean age was 62 (SD ± 9) years and the cohort was predominantly male (76%). Four metabolites correlated with baseline muscle mass: creatinine (R = 0.5, p = 0.041), glycerophospholipid PC_ae_C30_0 (R = 0.5, p = 0.034) and two acylcarnitines: C14_2 (R = 0.5, p = 0.042) and C10_2 (R = 0.5, p = 0.049). For muscle loss, significant associations were found for histidine (R = -0.8, p = 0.002) and three glycerophospholipids; PC_aa_C40_2 (R = 0.7, p = 0.015), PC_ae_C40_1 (R = 0.6, p = 0.032) and PC_aa_C42_1 (R = 0.6, p = 0.037). After correction for multiple testing, no significant associations remained. CONCLUSIONS This exploratory analysis found certain metabolites to be associated with muscle mass and muscle loss. Future research, specifically addressing these metabolites is necessary to confirm or refute an association with muscle loss and determine their role as potential muscle loss marker.
Collapse
Affiliation(s)
- Leanne L G C Ackermans
- Department of Traumatology, Maastricht University Medical Centre, the Netherlands; NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, the Netherlands
| | - Julia L M Bels
- NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, the Netherlands; Department of Intensive Care Medicine, Maastricht University Medical Centre, P. Debyelaan 25, 6202 AZ Maastricht, the Netherlands.
| | - Benjamin Seethaler
- Institute of Nutritional Medicine, University of Hohenheim, Fruwirthstr. 12, 70599 Stuttgart, Germany
| | - Maarten van Dinter
- NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, the Netherlands
| | - Anna Schweinlin
- Institute of Nutritional Medicine, University of Hohenheim, Fruwirthstr. 12, 70599 Stuttgart, Germany
| | - Marcel C G van de Poll
- NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, the Netherlands; Department of Intensive Care Medicine, Maastricht University Medical Centre, P. Debyelaan 25, 6202 AZ Maastricht, the Netherlands; Department of Surgery, Maastricht University Medical Centre, the Netherlands
| | - Stephan C Bischoff
- Institute of Nutritional Medicine, University of Hohenheim, Fruwirthstr. 12, 70599 Stuttgart, Germany
| | - Martijn Poeze
- Department of Traumatology, Maastricht University Medical Centre, the Netherlands
| | - Taco J Blokhuis
- Department of Traumatology, Maastricht University Medical Centre, the Netherlands
| | - Jan A Ten Bosch
- Department of Traumatology, Maastricht University Medical Centre, the Netherlands
| |
Collapse
|
30
|
Sterling LH, Fernando SM, Talarico R, Qureshi D, van Diepen S, Herridge MS, Price S, Brodie D, Fan E, Di Santo P, Jung RG, Parlow S, Basir MB, Scales DC, Combes A, Mathew R, Thiele H, Tanuseputro P, Hibbert B. Long-Term Outcomes of Cardiogenic Shock Complicating Myocardial Infarction. J Am Coll Cardiol 2023; 82:985-995. [PMID: 37648357 DOI: 10.1016/j.jacc.2023.06.026] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 05/24/2023] [Accepted: 06/12/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Cardiogenic shock secondary to acute myocardial infarction (AMI-CS) is associated with substantial short-term mortality; however, there are limited data on long-term outcomes and trends. OBJECTIVES This study sought to examine long-term outcomes of AMI-CS patients. METHODS This was a population-based, retrospective cohort study in Ontario, Canada of critically ill adult patients with AMI-CS who were admitted to hospitals between April 1, 2009 and March 31, 2019. Outcome data were captured using linked health administrative databases. RESULTS A total of 9,789 consecutive patients with AMI-CS from 135 centers were included. The mean age was 70.5 ± 12.3 years, and 67.7% were male. The incidence of AMI-CS was 8.2 per 100,000 person-years, and it increased over the study period. Critical care interventions were common, with 5,422 (55.4%) undergoing invasive mechanical ventilation, 1,425 (14.6%) undergoing renal replacement therapy, and 1,484 (15.2%) receiving mechanical circulatory support. A total of 2,961 patients (30.2%) died in the hospital, and 4,004 (40.9%) died by 1 year. Mortality at 5 years was 58.9%. Small improvements in short- and long-term mortality were seen over the study period. Among survivors to discharge, 2,870 (42.0%) required increased support in care from their preadmission baseline, 3,244 (47.5%) were readmitted to the hospital within 1 year, and 1,047 (15.3%) died within 1 year. The mean number of days at home in the year following discharge was 307.9 ± 109.6. CONCLUSIONS Short- and long-term mortality among patients with AMI-CS is high, with minimal improvement over time. AMI-CS survivors experience significant morbidity, with high risks of readmission and death. Future studies should evaluate interventions to minimize postdischarge morbidity and mortality among AMI-CS survivors.
Collapse
Affiliation(s)
- Lee H Sterling
- CAPITAL Research Group, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Shannon M Fernando
- CAPITAL Research Group, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada; Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada; Department of Critical Care, Lakeridge Health Corporation, Oshawa, Ontario, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
| | - Robert Talarico
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; ICES, Toronto, Ontario, Canada
| | - Danial Qureshi
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; ICES, Toronto, Ontario, Canada; Bruyère Research Institute, Ottawa, Ontario, Canada
| | - Sean van Diepen
- Department of Critical Care Medicine, University of Alberta, Edmonton, Alberta, Canada; Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Alberta, Canada; VIGOUR Centre, University of Alberta, Edmonton, Alberta, Canada
| | - Margaret S Herridge
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Susanna Price
- Royal Brompton & Harefield Hospitals, London, United Kingdom; National Heart and Lung Institute, Imperial College, London, United Kingdom
| | - Daniel Brodie
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Eddy Fan
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada; Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Pietro Di Santo
- CAPITAL Research Group, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada; Division of Critical Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Richard G Jung
- CAPITAL Research Group, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Simon Parlow
- CAPITAL Research Group, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Mir B Basir
- Division of Cardiology, Henry Ford Hospital, Detroit, Michigan, USA
| | - Damon C Scales
- ICES, Toronto, Ontario, Canada; Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada; Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
| | - Alain Combes
- Institute of Cardiometabolism and Nutrition, Sorbonne University, Paris, France; Service de Médecine Intensive-Réanimation, Hôpitaux Universitaires Pitié Salpêtrière, Assistance Publique-Hôpitaux de Paris, Institut de Cardiologie, Paris, France
| | - Rebecca Mathew
- CAPITAL Research Group, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada
| | - Holger Thiele
- Department of Internal Medicine/Cardiology, Heart Center Leipzig at the University of Leipzig and Leipzig Heart Institute, Leipzig, Germany
| | - Peter Tanuseputro
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada; ICES, Toronto, Ontario, Canada; Bruyère Research Institute, Ottawa, Ontario, Canada; Division of Palliative Care, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Benjamin Hibbert
- CAPITAL Research Group, Division of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| |
Collapse
|
31
|
Renard Triché L, Futier E, De Carvalho M, Piñol-Domenech N, Bodet-Contentin L, Jabaudon M, Pereira B. Sample size estimation in clinical trials using ventilator-free days as the primary outcome: a systematic review. Crit Care 2023; 27:303. [PMID: 37528425 PMCID: PMC10394791 DOI: 10.1186/s13054-023-04562-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 07/04/2023] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Ventilator-free days (VFDs) are a composite endpoint increasingly used as the primary outcome in critical care trials. However, because of the skewed distribution and competitive risk between components, sample size estimation remains challenging. This systematic review was conducted to systematically assess whether the sample size was congruent, as calculated to evaluate VFDs in trials, with VFDs' distribution and the impact of alternative methods on sample size estimation. METHODS A systematic literature search was conducted within the PubMed and Embase databases for randomized clinical trials in adults with VFDs as the primary outcome until December 2021. We focused on peer-reviewed journals with 2021 impact factors greater than five. After reviewing definitions of VFDs, we extracted the sample size and methods used for its estimation. The data were collected by two independent investigators and recorded in a standardized, pilot-tested forms tool. Sample sizes were calculated using alternative statistical approaches, and risks of bias were assessed with the Cochrane risk-of-bias tool. RESULTS Of the 26 clinical trials included, 19 (73%) raised "some concerns" when assessing risks of bias. Twenty-four (92%) trials were two-arm superiority trials, and 23 (89%) were conducted at multiple sites. Almost all the trials (96%) were unable to consider the unique distribution of VFDs and death as a competitive risk. Moreover, significant heterogeneity was found in the definitions of VFDs, especially regarding varying start time and type of respiratory support. Methods for sample size estimation were also heterogeneous, and simple models, such as the Mann-Whitney-Wilcoxon rank-sum test, were used in 14 (54%) trials. Finally, the sample sizes calculated varied by a factor of 1.6 to 17.4. CONCLUSIONS A standardized definition and methodology for VFDs, including the use of a core outcome set, seems to be required. Indeed, this could facilitate the interpretation of findings in clinical trials, as well as their construction, especially the sample size estimation which is a trade-off between cost, ethics, and statistical power. Systematic review registration PROSPERO ID: CRD42021282304. Registered 15 December 2021 ( https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021282304 ).
Collapse
Affiliation(s)
- Laurent Renard Triché
- Department of Perioperative Medicine, CHU Clermont-Ferrand, 58 Rue Montalembert, 63000, Clermont-Ferrand, France. lrenard--
| | - Emmanuel Futier
- Department of Perioperative Medicine, CHU Clermont-Ferrand, 58 Rue Montalembert, 63000, Clermont-Ferrand, France
- iGReD, CNRS, INSERM, Université Clermont Auvergne, Clermont-Ferrand, France
| | | | | | - Laëtitia Bodet-Contentin
- Medical Intensive Care Unit, CHRU de Tours, Tours, France
- INSERM, SPHERE, UMR1246, Université de Tours et Nantes, Tours et Nantes, France
| | - Matthieu Jabaudon
- Department of Perioperative Medicine, CHU Clermont-Ferrand, 58 Rue Montalembert, 63000, Clermont-Ferrand, France
- iGReD, CNRS, INSERM, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Bruno Pereira
- Biostatistics Unit, Department of Clinical Research, and Innovation (DRCI), CHU Clermont-Ferrand, Clermont-Ferrand, France
| |
Collapse
|
32
|
Potter KM, Dunn H, Krupp A, Mueller M, Newman S, Girard TD, Miller S. Identifying Comorbid Subtypes of Patients With Acute Respiratory Failure. Am J Crit Care 2023; 32:294-301. [PMID: 37391366 DOI: 10.4037/ajcc2023980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2023]
Abstract
BACKGROUND Patients with acute respiratory failure have multiple risk factors for disability following their intensive care unit stay. Interventions to facilitate independence at hospital discharge may be more effective if personalized for patient subtypes. OBJECTIVES To identify subtypes of patients with acute respiratory failure requiring mechanical ventilation and compare post-intensive care functional disability and intensive care unit mobility level among subtypes. METHODS Latent class analysis was conducted in a cohort of adult medical intensive care unit patients with acute respiratory failure receiving mechanical ventilation who survived to hospital discharge. Demographic and clinical medical record data were collected early in the stay. Clinical characteristics and outcomes were compared among subtypes by using Kruskal-Wallis tests and χ2 tests of independence. RESULTS In a cohort of 934 patients, the 6-class model provided the optimal fit. Patients in class 4 (obesity and kidney impairment) had worse functional impairment at hospital discharge than patients in classes 1 through 3. Patients in class 3 (alert patients) had the lowest magnitude of functional impairment (P < .001) and achieved the earliest out-of-bed mobility and highest mobility level of all subtypes (P < .001). CONCLUSIONS Acute respiratory failure survivor subtypes identified from clinical data available early in the intensive care unit stay differ in post-intensive care functional disability. Future research should target high-risk patients in early rehabilitation trials in the intensive care unit. Additional investigation of contextual factors and mechanisms of disability is critical to improving quality of life in acute respiratory failure survivors.
Collapse
Affiliation(s)
- Kelly M Potter
- Kelly M. Potter was a PhD candidate at the Medical University of South Carolina College of Nursing during the study and is now a research assistant professor at the Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh, Pennsylvania
| | - Heather Dunn
- Heather Dunn is a clinical assistant professor at University of Iowa College of Nursing, Iowa City, Iowa
| | - Anna Krupp
- Anna Krupp is an assistant professor at University of Iowa College of Nursing
| | - Martina Mueller
- Martina Mueller is a professor of biostatistics at the Medical University of South Carolina College of Nursing, Charleston, South Carolina
| | - Susan Newman
- Susan Newman is an associate professor and assistant dean at the Medical University of South Carolina College of Nursing
| | - Timothy D Girard
- Timothy D. Girard is an associate professor and director of the CRISMA Center, Department of Critical Care Medicine, University of Pittsburgh
| | - Sarah Miller
- Sarah Miller is an associate professor at the Medical University of South Carolina College of Nursing
| |
Collapse
|
33
|
Cijs B, Valkenet K, Heijnen G, Visser-Meily JMA, van der Schaaf M. Patients With and Without COVID-19 in the Intensive Care Unit: Physical Status Outcome Comparisons 3 Months After Discharge. Phys Ther 2023; 103:pzad039. [PMID: 37079487 PMCID: PMC10492575 DOI: 10.1093/ptj/pzad039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 12/16/2022] [Accepted: 02/15/2023] [Indexed: 04/21/2023]
Abstract
OBJECTIVE Many patients with coronavirus disease 2019 (COVID-19) infections were admitted to an intensive care unit (ICU). Physical impairments are common after ICU stays and are associated with clinical and patient characteristics. To date, it is unknown if physical functioning and health status are comparable between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 3 months after ICU discharge. The primary objective of this study was to compare handgrip strength, physical functioning, and health status between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 3 months after ICU discharge. The second objective was to identify factors associated with physical functioning and health status in patients in the ICU with COVID-19. METHODS In this observational, retrospective chart review study, handgrip strength (handheld dynamometer), physical functioning (Patient-Reported Outcomes Measurement Information System Physical Function), and health status (EuroQol 5 Dimension 5 Level) were compared between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 using linear regression. Multilinear regression analyses were used to investigate whether age, sex, body mass index, comorbidities in medical history (Charlson Comorbidity Index), and premorbid function illness (Identification of Seniors At Risk-Hospitalized Patients) were associated with these parameters in patients in the ICU with COVID-19. RESULTS In total, 183 patients (N = 92 with COVID-19) were included. No significant between-group differences were found in handgrip strength, physical functioning, and health status 3 months after ICU discharge. The multilinear regression analyses showed a significant association between sex and physical functioning in the COVID-19 group, with better physical functioning in men compared with women. CONCLUSION Current findings suggest that handgrip strength, physical functioning, and health status are comparable for patients who were in the ICU with COVID-19 and patients who were in the ICU without COVID-19 3 months after ICU discharge. IMPACT Aftercare in primary or secondary care in the physical domain of postintensive care syndrome after ICU discharge in patients with COVID-19 and in patients without COVID-19 who had an ICU length of stay >48 hours is recommended. LAY SUMMARY Patients who were in the ICU with and without COVID-19 had a lower physical status and health status than healthy people, thus requiring personalized physical rehabilitation. Outpatient aftercare is recommended for patients with an ICU length of stay >48 hours, and functional assessment is recommended 3 months after hospital discharge.
Collapse
Affiliation(s)
- Bastiaan Cijs
- Department of Rehabilitation, Physical Therapy Science & Sports, University Medical Center Utrecht, Utrecht University, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - Karin Valkenet
- Department of Rehabilitation, Physical Therapy Science & Sports, University Medical Center Utrecht, Utrecht University, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - Germijn Heijnen
- Department of Rehabilitation, Physical Therapy Science & Sports, University Medical Center Utrecht, Utrecht University, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - J M Anne Visser-Meily
- Department of Rehabilitation, Physical Therapy Science & Sports, University Medical Center Utrecht, Utrecht University, UMC Utrecht Brain Center, Utrecht, the Netherlands
| | - Marike van der Schaaf
- Department of Rehabilitation Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Movement Sciences, Ageing and Vitality, Amsterdam, the Netherlands
- Centre of Expertise Urban Vitality, Faculty of Health, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands
| |
Collapse
|
34
|
Kho ME, Reid J, Molloy AJ, Herridge MS, Seely AJ, Rudkowski JC, Buckingham L, Heels-Ansdell D, Karachi T, Fox-Robichaud A, Ball IM, Burns KEA, Pellizzari JR, Farley C, Berney S, Pastva AM, Rochwerg B, D'Aragon F, Lamontagne F, Duan EH, Tsang JLY, Archambault P, English SW, Muscedere J, Serri K, Tarride JE, Mehta S, Verceles AC, Reeve B, O'Grady H, Kelly L, Strong G, Hurd AH, Thabane L, Cook DJ. Critical Care C ycling to Improve Lower Extremity Strength (CYCLE): protocol for an international, multicentre randomised clinical trial of early in-bed cycling for mechanically ventilated patients. BMJ Open 2023; 13:e075685. [PMID: 37355270 PMCID: PMC10314658 DOI: 10.1136/bmjopen-2023-075685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 06/26/2023] Open
Abstract
INTRODUCTION In-bed leg cycling with critically ill patients is a promising intervention aimed at minimising immobility, thus improving physical function following intensive care unit (ICU) discharge. We previously completed a pilot randomised controlled trial (RCT) which supported the feasibility of a large RCT. In this report, we describe the protocol for an international, multicentre RCT to determine the effectiveness of early in-bed cycling versus routine physiotherapy (PT) in critically ill, mechanically ventilated adults. METHODS AND ANALYSIS We report a parallel group RCT of 360 patients in 17 medical-surgical ICUs and three countries. We include adults (≥18 years old), who could ambulate independently before their critical illness (with or without a gait aid), ≤4 days of invasive mechanical ventilation and ≤7 days ICU length of stay, and an expected additional 2-day ICU stay, and who do not fulfil any of the exclusion criteria. After obtaining informed consent, patients are randomised using a web-based, centralised system to either 30 min of in-bed cycling in addition to routine PT, 5 days per week, up to 28 days maximum, or routine PT alone. The primary outcome is the Physical Function ICU Test-scored (PFIT-s) at 3 days post-ICU discharge measured by assessors blinded to treatment allocation. Participants, ICU clinicians and research coordinators are not blinded to group assignment. Our sample size estimate was based on the identification of a 1-point mean difference in PFIT-s between groups. ETHICS AND DISSEMINATION Critical Care Cycling to improve Lower Extremity (CYCLE) is approved by the Research Ethics Boards of all participating centres and Clinical Trials Ontario (Project 1345). We will disseminate trial results through publications and conference presentations. TRIAL REGISTRATION NUMBER NCT03471247 (Full RCT); NCT02377830 (CYCLE Vanguard 46 patient internal pilot).
Collapse
Affiliation(s)
- Michelle E Kho
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
- Physiotherapy, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Research Institute of St. Joe's, Hamilton, Ontario, Canada
| | - Julie Reid
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
- Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Alexander J Molloy
- Physiotherapy, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Research Institute of St. Joe's, Hamilton, Ontario, Canada
| | - Margaret S Herridge
- University Health Network, Toronto General Research Institute, Toronto, Ontario, Canada
| | - Andrew J Seely
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Jill C Rudkowski
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Medicine, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Lisa Buckingham
- Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Diane Heels-Ansdell
- Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Tim Karachi
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | | | - Ian M Ball
- Department of Medicine, Western University, London, Ontario, Canada
- Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada
| | - Karen E A Burns
- Li Sha King Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care, Unity Health Toronto, Toronto, Ontario, Canada
| | - Joseph R Pellizzari
- Consultation-Liaison Psychiatry Service, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Christopher Farley
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
| | - Sue Berney
- Department of Physiotherapy, Austin Health, Heidelberg, Victoria, Australia
- Department of Physiotherapy, The University of Melbourne, Melbourne, Victoria, Australia
| | - Amy M Pastva
- Departments of Medicine and Orthopedic Surgery, Duke University, Durham, North Carolina, USA
| | - Bram Rochwerg
- Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Frédérick D'Aragon
- Department of Anesthesiology, Universite de Sherbrooke Faculte de medecine et des sciences de la sante, Sherbrooke, Quebec, Canada
- Centre de recherche du CHUS, Sherbrooke, Quebec, Canada
| | - Francois Lamontagne
- Centre de recherche du CHUS, Sherbrooke, Quebec, Canada
- Medicine, Universite de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Erick H Duan
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Medicine, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
- Division of Critical Care Medicine, Niagara Health System, St Catharines, Ontario, Canada
| | - Jennifer L Y Tsang
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
- Division of Critical Care Medicine, Niagara Health System, St Catharines, Ontario, Canada
| | - Patrick Archambault
- Anesthesiology and Intensive Care, Faculty of Medicine, Université Laval, Quebec, Québec, Canada
- Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Quebec, Québec, Canada
| | - Shane W English
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
- Department of Medicine (Critical Care), University of Ottawa, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada
| | - John Muscedere
- Department of Critical Care Medicine, Queen's University, Kingston, Ontario, Canada
| | - Karim Serri
- Critical Care Division, Department of Medicine, Hôpital du Sacré-Coeur de Montréal, Montreal, Québec, Canada
| | - Jean-Eric Tarride
- Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Programs for the Assessment of Technology in Health, Research Institute of St. Joe's Hamilton, Hamilton, Ontario, Canada
| | - Sangeeta Mehta
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, Ontario, Canada
- Sinai Health System, Toronto, Ontario, Canada
| | - Avelino C Verceles
- Department of Medicine, University of Maryland Medical Center, Baltimore, Maryland, USA
- Division of Pulmonary and Critical Care Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Brenda Reeve
- Medicine, Brantford General Hospital, Brantford, Ontario, Canada
| | - Heather O'Grady
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
| | - Laurel Kelly
- Physiotherapy, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Geoff Strong
- School of Rehabilitation Science, McMaster University, Hamilton, Ontario, Canada
| | - Abby H Hurd
- Physiotherapy, St Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
| | - Lehana Thabane
- Research Institute of St. Joe's, Hamilton, Ontario, Canada
- Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Deborah J Cook
- Research Institute of St. Joe's, Hamilton, Ontario, Canada
- Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada
- Medicine, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| |
Collapse
|
35
|
van Gassel RJJ, Bels JLM, Tartaglia K, van Bussel BCT, van Kuijk SMJ, Deane AM, Puthucheary Z, Weijs PJM, Vloet L, Beishuizen B, De Bie Dekker A, Fraipont V, Lamote S, Ledoux D, Scheeren C, De Waele E, van Zanten ARH, Mesotten D, van de Poll MCG. The impact of high versus standard enteral protein provision on functional recovery following intensive care admission (PRECISE trial): study protocol for a randomized controlled, quadruple blinded, multicenter, parallel group trial in mechanically ventilated patients. Trials 2023; 24:416. [PMID: 37337234 DOI: 10.1186/s13063-023-07380-3] [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: 03/24/2023] [Accepted: 05/16/2023] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND Critically ill patients are subject to severe skeletal muscle wasting during intensive care unit (ICU) stay, resulting in impaired short- and long-term functional outcomes and health-related quality of life. Increased protein provision may improve functional outcomes in ICU patients by attenuating skeletal muscle breakdown. Supporting evidence is limited however and results in great variety in recommended protein targets. METHODS The PRECISe trial is an investigator-initiated, bi-national, multi-center, quadruple-blinded randomized controlled trial with a parallel group design. In 935 patients, we will compare provision of isocaloric enteral nutrition with either a standard or high protein content, providing 1.3 or 2.0 g of protein/kg/day, respectively, when fed on target. All unplanned ICU admissions with initiation of invasive mechanical ventilation within 24 h of admission and an expected stay on ventilator support of at least 3 days are eligible. The study is designed to assess the effect of the intervention on functional recovery at 1, 3, and 6 months following ICU admission, including health-related quality of life, measures of muscle strength, physical function, and mental health. The primary endpoint of the trial is health-related quality of life as measured by the Euro-QoL-5D-5-level questionnaire Health Utility Score. Overall between-group differences will be assessed over the three time points using linear mixed-effects models. DISCUSSION The PRECISe trial will evaluate the effect of protein on functional recovery including both patient-centered and muscle-related outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04633421 . Registered on November 18, 2020. First patient in (FPI) on November 19, 2020. Expected last patient last visit (LPLV) in October 2023.
Collapse
Affiliation(s)
- Rob J J van Gassel
- Department of Intensive Care Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
- Department of Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Julia L M Bels
- Department of Intensive Care Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.
- NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands.
| | | | - Bas C T van Bussel
- Department of Intensive Care Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
| | - Sander M J van Kuijk
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Adam M Deane
- Department of Critical Care, Melbourne Medical School, University of Melbourne, Parkville, Australia
| | - Zudin Puthucheary
- William Harvey Research Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK
- Adult Critical Care Unit, Royal London Hospital, London, UK
| | - Peter J M Weijs
- Department of Nutrition and Dietetics, Faculty of Sports and Nutrition, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands
- Department of Nutrition and Dietetics, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, the Netherlands
| | - Lilian Vloet
- Research Department of Emergency and Critical Care, HAN University of Applied Science, School of Health Studies, Nijmegen, the Netherlands
- IQ Healthcare, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Bert Beishuizen
- Department of Intensive Care Medicine, Medisch Spectrum Twente, Enschede, the Netherlands
| | | | - Vincent Fraipont
- Service of Intensive Care Medicine, Citadelle Hospital, Liège, Belgium
| | - Stoffel Lamote
- Department of Intensive Care Medicine, AZ Groeninge, Kortrijk, Belgium
| | - Didier Ledoux
- Sensation & Perception Research Group, GIGA Consciousness, University of Liège, Liège, Belgium
- Intensive Care Units, University Hospital of Liège, Liège, Belgium
| | - Clarissa Scheeren
- Department of Intensive Care Medicine, Zuyderland Medisch Centrum, Heerlen/Sittard, the Netherlands
| | - Elisabeth De Waele
- Departement of Nutrition, Universitair Ziekenhuis Brussel, Jette, Belgium
| | | | - Dieter Mesotten
- Department of Intensive Care Medicine, Ziekenhuis Oost-Limburg, Genk, Belgium
- Faculty of Medicine and Life Sciences, UHasselt, Diepenbeek, Belgium
| | - Marcel C G van de Poll
- Department of Intensive Care Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
- NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
- Department of Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| |
Collapse
|
36
|
Cox CE, Kelleher SA, Parish A, Olsen MK, Bermejo S, Dempsey K, Jaggers J, Hough CL, Moss M, Porter LS. Feasibility of Mobile App-based Coping Skills Training for Cardiorespiratory Failure Survivors: The Blueprint Pilot Randomized Controlled Trial. Ann Am Thorac Soc 2023; 20:861-871. [PMID: 36603136 PMCID: PMC10257028 DOI: 10.1513/annalsats.202210-890oc] [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] [Received: 10/25/2022] [Accepted: 01/05/2023] [Indexed: 01/07/2023] Open
Abstract
Rationale: Psychological distress symptoms are common among patients recently hospitalized with cardiorespiratory failure, yet there are few effective postdischarge therapies that are relevant to their experiences. Objectives: To determine the feasibility and clinical impact of two different versions of a month-long self-guided mobile app-based coping skills program called Blueprint in comparison to usual care (UC) control. Methods: Patients hospitalized with a serious cardiopulmonary diagnoses were recruited from adult intensive care units and stepdown units at a large academic medical center. Participants with elevated psychological distress symptoms just after discharge were randomized in a 1:1:1 ratio to Blueprint with a therapist (BP/therapist), Blueprint without a therapist (BP/no therapist), or UC control. All study procedures were conducted remotely. Blueprint is a self-guided, symptom-responsive, mobile app-based adaptive coping skills program with 4 themed weeks with different daily audio, video, and text content. Participants completed surveys via the app platform at baseline and 1 and 3 months later. The primary outcome was feasibility. Additional outcomes included the HADS (Hospital Anxiety and Depression Scale) total score, the PTSS (Post-Traumatic Stress Scale), and a 100-point quality of life visual analog scale. Results: Of 63 patients who consented, 45 (71%) with elevated distress were randomized to BP/therapist (n = 16 [36%]), BP/no therapist (n = 14 [31%]), and UC (n = 15 [33%]). Observed rates were similar to target feasibility benchmarks, including consented patients who were randomized (71.4%), retention (75.6%), and intervention adherence (97% with weekly use). Estimated mean differences (95% confidence intervals) at 1 month compared with baseline included: HADS total (BP/therapist, -3.8 [-6.7 to -0.6]; BP/no therapist, -4.2 [-7.6 to -0.0]; UC, -3.4 [-6.6 to 0.2]); PTSS (BP/therapist, -6.7 [-11.3 to -2.1]; BP/no therapist, -9.1 [-14.4 to -3.9]; UC, -4.2 [-10.8 to 2.3]); and quality of life (BP/therapist, -4.5 [-14.3 to 4.6]; BP/no therapist, 14.0 [-0.9 to 29.0]; UC, 8.7 [-3.5 to 20.9]). Conclusions: Among survivors of cardiorespiratory failure, a mobile app-based postdischarge coping skills training intervention demonstrated evidence of feasibility and clinical impact compared with UC control. A larger trial is warranted to test the efficacy of this approach. Clinical trial registered with ClinicalTrials.gov (NCT04329702).
Collapse
Affiliation(s)
- Christopher E. Cox
- Department of Medicine, Division of Pulmonary and Critical Care Medicine
- Program to Support People and Enhance Recovery (ProSPER)
| | | | - Alice Parish
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina
| | - Maren K. Olsen
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina
- Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, North Carolina
| | - Santos Bermejo
- Department of Medicine, Division of Pulmonary and Critical Care Medicine
- Program to Support People and Enhance Recovery (ProSPER)
| | - Katelyn Dempsey
- Department of Medicine, Division of Pulmonary and Critical Care Medicine
- Program to Support People and Enhance Recovery (ProSPER)
| | - Jennie Jaggers
- Department of Medicine, Division of Pulmonary and Critical Care Medicine
- Program to Support People and Enhance Recovery (ProSPER)
| | - Catherine L. Hough
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, Oregon Health & Sciences University, Portland, Oregon; and
| | - Marc Moss
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Colorado, Denver, Colorado
| | | |
Collapse
|
37
|
Mousai O, Tafoureau L, Yovell T, Flaatten H, Guidet B, Beil M, de Lange D, Leaver S, Szczeklik W, Fjolner J, Nachshon A, van Heerden PV, Joskowicz L, Jung C, Hyams G, Sviri S. The role of clinical phenotypes in decisions to limit life-sustaining treatment for very old patients in the ICU. Ann Intensive Care 2023; 13:40. [PMID: 37162595 PMCID: PMC10170430 DOI: 10.1186/s13613-023-01136-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 05/02/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND Limiting life-sustaining treatment (LST) in the intensive care unit (ICU) by withholding or withdrawing interventional therapies is considered appropriate if there is no expectation of beneficial outcome. Prognostication for very old patients is challenging due to the substantial biological and functional heterogeneity in that group. We have previously identified seven phenotypes in that cohort with distinct patterns of acute and geriatric characteristics. This study investigates the relationship between these phenotypes and decisions to limit LST in the ICU. METHODS This study is a post hoc analysis of the prospective observational VIP2 study in patients aged 80 years or older admitted to ICUs in 22 countries. The VIP2 study documented demographic, acute and geriatric characteristics as well as organ support and decisions to limit LST in the ICU. Phenotypes were identified by clustering analysis of admission characteristics. Patients who were assigned to one of seven phenotypes (n = 1268) were analysed with regard to limitations of LST. RESULTS The incidence of decisions to withhold or withdraw LST was 26.5% and 8.1%, respectively. The two phenotypes describing patients with prominent geriatric features and a phenotype representing the oldest old patients with low severity of the critical condition had the largest odds for withholding decisions. The discriminatory performance of logistic regression models in predicting limitations of LST after admission to the ICU was the best after combining phenotype, ventilatory support and country as independent variables. CONCLUSIONS Clinical phenotypes on ICU admission predict limitations of LST in the context of cultural norms (country). These findings can guide further research into biases and preferences involved in the decision-making about LST. Trial registration Clinical Trials NCT03370692 registered on 12 December 2017.
Collapse
Affiliation(s)
- Oded Mousai
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Givat Ram, Jerusalem, Israel
| | - Lola Tafoureau
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Givat Ram, Jerusalem, Israel
| | - Tamar Yovell
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Givat Ram, Jerusalem, Israel
| | - Hans Flaatten
- Department of Anaesthesia and Intensive Care, Haukeland University Hospital, Bergen, Norway
| | - Bertrand Guidet
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Saint Antoine, service MIR, Paris, France
| | - Michael Beil
- Department of Medical Intensive Care, Faculty of Medicine, Hebrew University and Hadassah University Medical Center, Jerusalem, Israel
| | - Dylan de Lange
- Department of Intensive Care Medicine, University Medical Center, University Utrecht, Utrecht, The Netherlands
| | - Susannah Leaver
- General Intensive Care, St George's University Hospitals NHS Foundation Trust, London, UK
| | - Wojciech Szczeklik
- Center for Intensive Care and Perioperative Medicine, Jagiellonian University Medical College, Kraków, Poland
| | - Jesper Fjolner
- Department of Anaesthesia and Intensive Care, Viborg Regional Hospital, Viborg, Denmark
| | - Akiva Nachshon
- General Intensive Care Unit, Department of Anaesthesiology, Critical Care and Pain Medicine, Faculty of Medicine, Hebrew University and Hadassah University Medical Center, Jerusalem, Israel
| | - Peter Vernon van Heerden
- General Intensive Care Unit, Department of Anaesthesiology, Critical Care and Pain Medicine, Faculty of Medicine, Hebrew University and Hadassah University Medical Center, Jerusalem, Israel
| | - Leo Joskowicz
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Givat Ram, Jerusalem, Israel
| | - Christian Jung
- Division of Cardiology, Department of Cardiology, Pulmonology and Vascular Medicine, Faculty of Medicine, Heinrich-Heine-University, Moorenstraße 5, 40225, Düsseldorf, Germany.
| | - Gal Hyams
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Givat Ram, Jerusalem, Israel
| | - Sigal Sviri
- Department of Medical Intensive Care, Faculty of Medicine, Hebrew University and Hadassah University Medical Center, Jerusalem, Israel
| |
Collapse
|
38
|
Mendelson AA, Erickson D, Villar R. The role of the microcirculation and integrative cardiovascular physiology in the pathogenesis of ICU-acquired weakness. Front Physiol 2023; 14:1170429. [PMID: 37234410 PMCID: PMC10206327 DOI: 10.3389/fphys.2023.1170429] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
Skeletal muscle dysfunction after critical illness, defined as ICU-acquired weakness (ICU-AW), is a complex and multifactorial syndrome that contributes significantly to long-term morbidity and reduced quality of life for ICU survivors and caregivers. Historically, research in this field has focused on pathological changes within the muscle itself, without much consideration for their in vivo physiological environment. Skeletal muscle has the widest range of oxygen metabolism of any organ, and regulation of oxygen supply with tissue demand is a fundamental requirement for locomotion and muscle function. During exercise, this process is exquisitely controlled and coordinated by the cardiovascular, respiratory, and autonomic systems, and also within the skeletal muscle microcirculation and mitochondria as the terminal site of oxygen exchange and utilization. This review highlights the potential contribution of the microcirculation and integrative cardiovascular physiology to the pathogenesis of ICU-AW. An overview of skeletal muscle microvascular structure and function is provided, as well as our understanding of microvascular dysfunction during the acute phase of critical illness; whether microvascular dysfunction persists after ICU discharge is currently not known. Molecular mechanisms that regulate crosstalk between endothelial cells and myocytes are discussed, including the role of the microcirculation in skeletal muscle atrophy, oxidative stress, and satellite cell biology. The concept of integrated control of oxygen delivery and utilization during exercise is introduced, with evidence of physiological dysfunction throughout the oxygen delivery pathway - from mouth to mitochondria - causing reduced exercise capacity in patients with chronic disease (e.g., heart failure, COPD). We suggest that objective and perceived weakness after critical illness represents a physiological failure of oxygen supply-demand matching - both globally throughout the body and locally within skeletal muscle. Lastly, we highlight the value of standardized cardiopulmonary exercise testing protocols for evaluating fitness in ICU survivors, and the application of near-infrared spectroscopy for directly measuring skeletal muscle oxygenation, representing potential advancements in ICU-AW research and rehabilitation.
Collapse
Affiliation(s)
- Asher A. Mendelson
- Section of Critical Care Medicine, Department of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Dustin Erickson
- Section of Critical Care Medicine, Department of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Rodrigo Villar
- Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, MB, Canada
| |
Collapse
|
39
|
Jain S. Preexisting Care Needs and Long-Term Outcomes After Mechanical Ventilation: Are We Any Closer to Informing Treatment Choices for Older Adults? Crit Care Med 2023; 51:683-685. [PMID: 37052439 DOI: 10.1097/ccm.0000000000005827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Affiliation(s)
- Snigdha Jain
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT
| |
Collapse
|
40
|
Pham T, Heunks L, Bellani G, Madotto F, Aragao I, Beduneau G, Goligher EC, Grasselli G, Laake JH, Mancebo J, Peñuelas O, Piquilloud L, Pesenti A, Wunsch H, van Haren F, Brochard L, Laffey JG, Acharya SP, Amin P, Arabi Y, Aragao I, Bauer P, Beduneau G, Beitler J, Berkius J, Bugedo G, Camporota L, Cerny V, Cho YJ, Clarkson K, Estenssoro E, Goligher E, Grasselli G, Gritsan A, Hashemian SM, Hermans G, Heunks LM, Jovanovic B, Kurahashi K, Laake JH, Matamis D, Moerer O, Molnar Z, Ozyilmaz E, Panka B, Papali A, Peñuelas Ó, Perbet S, Piquilloud L, Qiu H, Razek AA, Rittayamai N, Roldan R, Serpa Neto A, Szuldrzynski K, Talmor D, Tomescu D, Van Haren F, Villagomez A, Zeggwagh AA, Abe T, Aboshady A, Acampo-de Jong M, Acharya S, Adderley J, Adiguzel N, Agrawal VK, Aguilar G, Aguirre G, Aguirre-Bermeo H, Ahlström B, Akbas T, Akker M, Al Sadeh G, Alamri S, Algaba A, Ali M, Aliberti A, Allegue JM, Alvarez D, Amador J, Andersen FH, Ansari S, Apichatbutr Y, Apostolopoulou O, Arabi Y, Arellano D, Arica M, Arikan H, Arinaga K, Arnal JM, Asano K, Asín-Corrochano M, Avalos Cabrera JM, Avila Fuentes S, Aydemir S, Aygencel G, Azevedo L, Bacakoglu F, Badie J, Baedorf Kassis E, Bai G, Balaraj G, Ballico B, Banner-Goodspeed V, Banwarie P, Barbieri R, Baronia A, Barrett J, Barrot L, Barrueco-Francioni JE, Barry J, Bauer P, Bawangade H, Beavis S, Beck E, Beehre N, Belenguer Muncharaz A, Bellani G, Belliato M, Bellissima A, Beltramelli R, Ben Souissi A, Benitez-Cano A, Benlamin M, Benslama A, Bento L, Benvenuti D, Berkius J, Bernabe L, Bersten A, Berta G, Bertini P, Bertram-Ralph E, Besbes M, Bettini LR, Beuret P, Bewley J, Bezzi M, Bhakhtiani L, Bhandary R, Bhowmick K, Bihari S, Bissett B, Blythe D, Bocher S, Boedjawan N, Bojanowski CM, Boni E, Boraso S, Borelli M, Borello S, Borislavova M, Bosma KJ, Bottiroli M, Boyd O, Bozbay S, Briva A, Brochard L, Bruel C, Bruni A, Buehner U, Bugedo G, Bulpa P, Burt K, Buscot M, Buttera S, Cabrera J, Caccese R, Caironi P, Canchos Gutierrez I, Canedo N, Cani A, Cappellini I, Carazo J, Cardonnet LP, Carpio D, Carriedo D, Carrillo R, Carvalho J, Caser E, Castelli A, Castillo Quintero M, Castro H, Catorze N, Cengiz M, Cereijo E, Ceunen H, Chaintoutis C, Chang Y, Chaparro G, Chapman C, Chau S, Chavez CE, Chelazzi C, Chelly J, Chemouni F, Chen K, Chena A, Chiarandini P, Chilton P, Chiumello D, Cho YJ, Chou-Lie Y, Chudeau N, Cinel I, Cinnella G, Clark M, Clark T, Clarkson K, Clementi S, Coaguila L, Codecido AJ, Collins A, Colombo R, Conde J, Consales G, Cook T, Coppadoro A, Cornejo R, Cortegiani A, Coxo C, Cracchiolo AN, Crespo Ramirez M, Crova P, Cruz J, Cubattoli L, Çukurova Z, Curto F, Czempik P, D'Andrea R, da Silva Ramos F, Dangers L, Danguy des Déserts M, Danin PE, Dantas F, Daubin C, Dawei W, de Haro C, de Jesus Montelongo F, De Mendoza D, de Pablo R, De Pascale G, De Rosa S, Decavèle M, Declercq PL, Deicas A, del Carmen Campos Moreno M, Dellamonica J, Delmas B, Demirkiran O, Demirkiran H, Dendane T, di Mussi R, Diakaki C, Diaz A, Diaz W, Dikmen Y, Dimoula A, Doble P, Doha N, Domingos G, Dres M, Dries D, Duggal A, Duke G, Dunts P, Dybwik K, Dykyy M, Eckert P, Efe S, Elatrous S, Elay G, Elmaryul AS, Elsaadany M, Elsayed H, Elsayed S, Emery M, Ena S, Eng K, Englert JA, Erdogan E, Ergin Ozcan P, Eroglu E, Escobar M, Esen F, Esen Tekeli A, Esquivel A, Esquivel Gallegos H, Ezzouine H, Facchini A, Faheem M, Fanelli V, Farina MF, Fartoukh M, Fehrle L, Feng F, Feng Y, Fernandez I, Fernandez B, Fernandez-Rodriguez ML, Ferrando C, Ferreira da Silva MJ, Ferreruela M, Ferrier J, Flamm Zamorano MJ, Flood L, Floris L, Fluckiger M, Forteza C, Fortunato A, Frans E, Frattari A, Fredes S, Frenzel T, Fumagalli R, Furche MA, Fusari M, Fysh E, Galeas-Lopez JL, Galerneau LM, Garcia A, Garcia MF, Garcia E, Garcia Olivares P, Garlicki J, Garnero A, Garofalo E, Gautam P, Gazenkampf A, Gelinotte S, Gelormini D, Ghrenassia E, Giacomucci A, Giannoni R, Gigante A, Glober N, Gnesin P, Gollo Y, Gomaa D, Gomero Paredes R, Gomes R, Gomez RA, Gomez O, Gomez A, Gondim L, Gonzalez M, Gonzalez I, Gonzalez-Castro A, Gordillo Romero O, Gordo F, Gouin P, Graf Santos J, Grainne R, Grando M, Granov Grabovica S, Grasselli G, Grasso S, Grasso R, Grimmer L, Grissom C, Gritsan A, Gu Q, Guan XD, Guarracino F, Guasch N, Guatteri L, Gueret R, Guérin C, Guerot E, Guitard PG, Gül F, Gumus A, Gurjar M, Gutierrez P, Hachimi A, Hadzibegovic A, Hagan S, Hammel C, Han Song J, Hanlon G, Hashemian SM, Heines S, Henriksson J, Herbrecht JE, Heredia Orbegoso GO, Hermans G, Hermon A, Hernandez R, Hernandez C, Herrera L, Herrera-Gutierrez M, Heunks L, Hidalgo J, Hill D, Holmquist D, Homez M, Hongtao X, Hormis A, Horner D, Hornos MC, Hou M, House S, Housni B, Hugill K, Humphreys S, Humbert L, Hunter S, Hwa Young L, Iezzi N, Ilutovich S, Inal V, Innes R, Ioannides P, Iotti GA, Ippolito M, Irie H, Iriyama H, Itagaki T, Izura J, Izza S, Jabeen R, Jamaati H, Jamadarkhana S, Jamoussi A, Jankowski M, Jaramillo LA, Jeon K, Jeong Lee S, Jeswani D, Jha S, Jiang L, Jing C, Jochmans S, Johnstad BA, Jongmin L, Joret A, Jovanovic B, Junhasavasdikul D, Jurado MT, Kam E, Kamohara H, Kane C, Kara I, Karakurt S, Karnjanarachata C, Kataoka J, Katayama S, Kaushik S, Kelebek Girgin N, Kerr K, Kerslake I, Khairnar P, Khalid A, Khan A, Khanna AK, Khorasanee R, Kienhorst D, Kirakli C, Knafelj R, Kol MK, Kongpolprom N, Kopitko C, Korkmaz Ekren P, Kubisz-Pudelko A, Kulcsar Z, Kumasawa J, Kurahashi K, Kuriyama A, Kutchak F, Laake JH, Labarca E, Labat F, Laborda C, Laca Barrera MA, Lagache L, Landaverde Lopez A, Lanspa M, Lascari V, Le Meur M, Lee SH, Lee YJ, Lee J, Lee WY, Lee J, Legernaes T, Leiner T, Lemiale V, Leonor T, Lepper PM, Li D, Li H, Li O, Lima AR, Lind D, Litton E, Liu N, Liu L, Liu J, Llitjos JF, Llorente B, Lopez R, Lopez CE, Lopez Nava C, Lovazzano P, Lu M, Lucchese F, Lugano M, Lugo Goytia G, Luo H, Lynch C, Macheda S, Madrigal Robles VH, Maggiore SM, Magret Iglesias M, Malaga P, Mallapura Maheswarappa H, Malpartida G, Malyarchikov A, Mansson H, Manzano A, Marey I, Marin N, Marin MDC, Markman E, Martin F, Martin A, Martin Dal Gesso C, Martinez F, Martínez-Fidalgo C, Martin-Loeches I, Mas A, Masaaki S, Maseda E, Massa E, Mattsson A, Maugeri J, McCredie V, McCullough J, McGuinness S, McKown A, Medve L, Mei C, Mellado Artigas R, Mendes V, Mervat MKE, Michaux I, Mikhaeil M, Milagros O, Milet I, Millan MT, Minwei Z, Mirabella L, Mishra S, Mistraletti G, Mochizuki K, Moerer O, Moghal A, Mojoli F, Molin A, Molnar Z, Montiel R, Montini L, Monza G, Mora Aznar M, Morakul S, Morales M, Moreno Torres D, Morocho Tutillo DR, Motherway C, Mouhssine D, Mouloudi E, Muñoz T, Munoz de Cabo C, Mustafa M, Muthuchellappan R, Muthukrishnan M, Muttini S, Nagata I, Nahar D, Nakanishi M, Nakayama I, Namendys-Silva SA, Nanchal R, Nandakumar S, Nasi A, Nasir K, Navalesi P, Naz Aslam T, Nga Phan T, Nichol A, Niiyama S, Nikolakopoulou S, Nikolic E, Nitta K, Noc M, Nonas S, Nseir S, Nur Soyturk A, Obata Y, Oeckler R, Oguchi M, Ohshimo S, Oikonomou M, Ojados A, Oliveira MT, Oliveira Filho W, Oliveri C, Olmos A, Omura K, Orlandi MC, Orsenigo F, Ortiz-Ruiz De Gordoa L, Ota K, Ovalle Olmos R, Öveges N, Oziemski P, Ozkan Kuscu O, Özyilmaz E, Pachas Alvarado F, Pagella G, Palaniswamy V, Palazon Sanchez EL, Palmese S, Pan G, Pan W, Panka B, Papanikolaou M, Papavasilopoulou T, Parekh A, Parke R, Parrilla FJ, Parrilla D, Pasha T, Pasin L, Patão L, Patel M, Patel G, Pati BK, Patil J, Pattnaik S, Paul D, Pavesi M, Pavlotsky VA, Paz G, Paz E, Pecci E, Pellegrini C, Peña Padilla AG, Perchiazzi G, Pereira T, Pereira V, Perez M, Perez Calvo C, Perez Cheng M, Perez Maita R, Pérez-Araos R, Perez-Teran P, Perez-Torres D, Perkins G, Persona P, Petnak T, Petrova M, Pham T, Philippart F, Picetti E, Pierucci E, Piervincenzi E, Pinciroli R, Pintado MC, Piquilloud L, Piraino T, Piras S, Piras C, Pirompanich P, Pisani L, Platas E, Plotnikow G, Porras W, Porta V, Portilla M, Portugal J, Povoa P, Prat G, Pratto R, Preda G, Prieto I, Prol-Silva E, Pugh R, Qi Y, Qian C, Qin T, Qiu H, Qu H, Quintana T, Quispe Sierra R, Quispe Soto R, Rabbani R, Rabee M, Rabie A, Rahe Pereira MA, Rai A, Raj Ashok S, Rajab M, Ramdhani N, Ramey E, Ranieri M, Rathod D, Ray B, Redwanul Huq SM, Regli A, Reina R, Resano Sarmiento N, Reynaud F, Rialp G, Ricart P, Rice T, Richardson A, Rieder M, Rinket M, Rios F, Rios F, Risso Vazquez A, Rittayamai N, Riva I, Rivette M, Roca O, Roche-Campo F, Rodriguez C, Rodriguez G, Rodriguez Gonzalez D, Rodriguez Tucto XY, Rogers A, Romano ME, Rørtveit L, Rose A, Roux D, Rouze A, Rubatto Birri PN, Ruilan W, Ruiz Robledo A, Ruiz-Aguilar AL, Sadahiro T, Saez I, Sagardia J, Saha R, Saha R, Saiphoklang N, Saito S, Salem M, Sales G, Salgado P, Samavedam S, Sami Mebazaa M, Samuelsson L, San Juan Roman N, Sanchez P, Sanchez-Ballesteros J, Sandoval Y, Sani E, Santos M, Santos C, Sanui M, Saravanabavan L, Sari S, Sarkany A, Sauneuf B, Savioli M, Sazak H, Scano R, Schneider F, Schortgen F, Schultz MJ, Schwarz GL, Seçkin Yücesoy F, Seely A, Seiler F, Seker Tekdos Y, Seok Chan K, Serano L, Serednicki W, Serpa Neto A, Setten M, Shah A, Shah B, Shang Y, Shanmugasundaram P, Shapovalov K, Shebl E, Shiga T, Shime N, Shin P, Short J, Shuhua C, Siddiqui S, Silesky Jimenez JI, Silva D, Silva Sales B, Simons K, Sjøbø BÅ, Slessor D, Smiechowicz J, Smischney N, Smith P, Smith T, Smith M, Snape S, Snyman L, Soetens F, Sook Hong K, Sosa Medellin MÁ, Soto G, Souloy X, Sousa E, Sovatzis S, Sozutek D, Spadaro S, Spagnoli M, Spångfors M, Spittle N, Spivey M, Stapleton A, Stefanovic B, Stephenson L, Stevenson E, Strand K, Strano MT, Straus S, Sun C, Sun R, Sundaram V, SunPark T, Surlemont E, Sutherasan Y, Szabo Z, Szuldrzynski K, Tainter C, Takaba A, Tallott M, Tamasato T, Tang Z, Tangsujaritvijit V, Taniguchi L, Taniguchi D, Tarantino F, Teerapuncharoen K, Temprano S, Terragni P, Terzi N, Thakur A, Theerawit P, Thille AW, Thomas M, Thungtitigul P, Thyrault M, Tilouch N, Timenetsky K, Tirapu J, Todeschini M, Tomas R, Tomaszewski C, Tonetti T, Tonnelier A, Trinder J, Trongtrakul K, Truwit J, Tsuei B, Tulaimat A, Turan S, Turkoglu M, Tyagi S, Ubeda A, Vagginelli F, Valenti MF, Vallverdu I, Van Axel A, van den Hul I, van der Hoeven H, Van Der Meer N, Van Haren F, Vanhoof M, Vargas-Ordoñez M, Vaschetto R, Vascotto E, Vatsik M, Vaz A, Vazquez-Sanchez A, Ventura S, Vermeijden JW, Vidal A, Vieira J, Vilela Costa Pinto B, Villagomez A, Villagra A, Villegas Succar C, Vinorum OG, Vitale G, Vj R, Vochin A, Voiriot G, Volta CA, von Seth M, Wajdi M, Walsh D, Wang S, Wardi G, Ween-Velken NC, Wei BL, Weller D, Welsh D, Welters I, Wert M, Whiteley S, Wilby E, Williams E, Williams K, Wilson A, Wojtas J, Won Huh J, Wrathall D, Wright C, Wu JF, Xi G, Xing ZJ, Xu H, Yamamoto K, Yan J, Yáñez J, Yang X, Yates E, Yazicioglu Mocin O, Ye Z, Yildirim F, Yoshida N, Yoshido HHL, Young Lee B, Yu R, Yu G, Yu T, Yuan B, Yuangtrakul N, Yumoto T, Yun X, Zakalik G, Zaki A, Zalba-Etayo B, Zambon M, Zang B, Zani G, Zarka J, Zerbi SM, Zerman A, Zetterquist H, Zhang J, Zhang H, Zhang W, Zhang G, Zhang W, Zhao H, Zheng J, Zhu B, Zumaran R. Weaning from mechanical ventilation in intensive care units across 50 countries (WEAN SAFE): a multicentre, prospective, observational cohort study. THE LANCET. RESPIRATORY MEDICINE 2023; 11:465-476. [PMID: 36693401 DOI: 10.1016/s2213-2600(22)00449-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 11/07/2022] [Accepted: 11/10/2022] [Indexed: 01/23/2023]
Abstract
BACKGROUND Current management practices and outcomes in weaning from invasive mechanical ventilation are poorly understood. We aimed to describe the epidemiology, management, timings, risk for failure, and outcomes of weaning in patients requiring at least 2 days of invasive mechanical ventilation. METHODS WEAN SAFE was an international, multicentre, prospective, observational cohort study done in 481 intensive care units in 50 countries. Eligible participants were older than 16 years, admitted to a participating intensive care unit, and receiving mechanical ventilation for 2 calendar days or longer. We defined weaning initiation as the first attempt to separate a patient from the ventilator, successful weaning as no reintubation or death within 7 days of extubation, and weaning eligibility criteria based on positive end-expiratory pressure, fractional concentration of oxygen in inspired air, and vasopressors. The primary outcome was the proportion of patients successfully weaned at 90 days. Key secondary outcomes included weaning duration, timing of weaning events, factors associated with weaning delay and weaning failure, and hospital outcomes. This study is registered with ClinicalTrials.gov, NCT03255109. FINDINGS Between Oct 4, 2017, and June 25, 2018, 10 232 patients were screened for eligibility, of whom 5869 were enrolled. 4523 (77·1%) patients underwent at least one separation attempt and 3817 (65·0%) patients were successfully weaned from ventilation at day 90. 237 (4·0%) patients were transferred before any separation attempt, 153 (2·6%) were transferred after at least one separation attempt and not successfully weaned, and 1662 (28·3%) died while invasively ventilated. The median time from fulfilling weaning eligibility criteria to first separation attempt was 1 day (IQR 0-4), and 1013 (22·4%) patients had a delay in initiating first separation of 5 or more days. Of the 4523 (77·1%) patients with separation attempts, 2927 (64·7%) had a short wean (≤1 day), 457 (10·1%) had intermediate weaning (2-6 days), 433 (9·6%) required prolonged weaning (≥7 days), and 706 (15·6%) had weaning failure. Higher sedation scores were independently associated with delayed initiation of weaning. Delayed initiation of weaning and higher sedation scores were independently associated with weaning failure. 1742 (31·8%) of 5479 patients died in the intensive care unit and 2095 (38·3%) of 5465 patients died in hospital. INTERPRETATION In critically ill patients receiving at least 2 days of invasive mechanical ventilation, only 65% were weaned at 90 days. A better understanding of factors that delay the weaning process, such as delays in weaning initiation or excessive sedation levels, might improve weaning success rates. FUNDING European Society of Intensive Care Medicine, European Respiratory Society.
Collapse
Affiliation(s)
- Tài Pham
- Service de Médecine Intensive-Réanimation, AP-HP, Hôpital de Bicêtre, DMU CORREVE, FHU SEPSIS, Groupe de Recherche CARMAS, Hôpitaux Universitaires Paris-Saclay, Le Kremlin-Bicêtre, France; Université Paris-Saclay, UVSQ, Université Paris-Sud, Inserm U1018, Equipe d'Epidémiologie Respiratoire Intégrative, CESP, 94807, Villejuif, France
| | - Leo Heunks
- Department of Intensive Care Medicine, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Giacomo Bellani
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Department of Emergency and Intensive Care, University Hospital San Gerardo, Monza, Italy
| | - Fabiana Madotto
- Department of Anaesthesia, Intensive Care and Emergency, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Irene Aragao
- Department of Intensive Care Medicine, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Gaëtan Beduneau
- Normandie University, UNIROUEN, UR 3830, CHU Rouen, Department of Medical Intensive Care, F-76000 Rouen, France
| | - Ewan C Goligher
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada; Department of Medicine, Division of Respirology, Toronto General Hospital Research Institute University Health Network, Toronto, Canada
| | - Giacomo Grasselli
- Department of Anaesthesia, Intensive Care and Emergency, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Jon Henrik Laake
- Department of Anaesthesiology and Department of Research and Development, Division of Critical Care and Emergencies, Oslo University Hospital, Oslo, Norway
| | - Jordi Mancebo
- Department of Intensive Care Medicine, Hospital Universitari Sant Pau, Barcelona, Spain
| | - Oscar Peñuelas
- Intensive Care Unit, Hospital Universitario de Getafe, Madrid, Spain; Centro de Investigación Biomédica en Red, CIBER de Enfermedades Respiratorias, CIBERES, Madrid, Spain
| | - Lise Piquilloud
- Adult Intensive Care Unit, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Antonio Pesenti
- Department of Anaesthesia, Intensive Care and Emergency, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Hannah Wunsch
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada; Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Frank van Haren
- College of Health and Medicine, Australian National University, Canberra, ACT, Australia; Intensive Care Unit, St George Hospital, Sydney, NSW, Australia
| | - Laurent Brochard
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada; Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - John G Laffey
- Anaesthesia and Intensive Care Medicine, School of Medicine, Clinical Sciences Institute, Galway University Hospitals, Galway, Ireland; School of Medicine, Regenerative Medicine Institute (REMEDI) at CÚRAM Centre for Research in Medical Devices, National University of Ireland Galway, Galway, Ireland.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
41
|
Tillmann BW, Hallet J, Sutradhar R, Guttman MP, Coburn N, Chesney TR, Zuckerman J, Mahar A, Chan WC, Haas B. The impact of unexpected intensive care unit admission after cancer surgery on long-term symptom burden among older adults: a population-based longitudinal analysis. Crit Care 2023; 27:162. [PMID: 37098625 PMCID: PMC10127328 DOI: 10.1186/s13054-023-04415-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 03/27/2023] [Indexed: 04/27/2023] Open
Abstract
BACKGROUND Older adults are at high-risk for a post-operative intensive care unit (ICU) admission, yet little is known about the impact of these admissions on quality of life. The objective of this study was to evaluate the impact of an unexpected post-operative ICU admission on the burden of cancer symptoms among older adults who underwent high-intensity cancer surgery and survived to hospital discharge. METHODS We performed a population-based cohort study of older adults (age ≥ 70) who underwent high-intensity cancer surgery and survived to hospital discharge in Ontario, Canada (2007-2017). Using the Edmonton Symptom Assessment System (ESAS), a standardized tool that quantifies patient-reported physical, mental, and emotional symptoms, we described the burden of cancer symptoms during the year after surgery. Total symptom scores ≥ 40 indicated a moderate-to-severe symptom burden. Modified log-Poisson analysis was used to estimate the impact of an unexpected post-operative ICU admission (admission not related to routine monitoring) on the likelihood of experiencing a moderate-to-severe symptom burden during the year after surgery, accounting for potential confounders. We then used multivariable generalized linear mixed models to model symptom trajectories among patients with two or more ESAS assessments. A 10-point difference in total symptom scores was considered clinically significant. RESULTS Among 16,560 patients (mean age 76.5 years; 43.4% female), 1,503 (9.1%) had an unexpected ICU admission. After accounting for baseline characteristics, patients with an unexcepted ICU admission were more likely to experience a moderate-to-severe symptom burden relative to those without an unexpected ICU admission (RR 1.64, 95% CI 1.31-2.05). Specifically, among patients with an unexcepted ICU admission the average probability of experiencing moderate-to-severe symptoms ranged from 6.9% (95 CI 5.8-8.3%) during the first month after surgery to 3.2% (95% CI 0.9-11.7%) at the end of the year. Among the 11,229 (67.8%) patients with multiple ESAS assessments, adjusted differences in total scores between patients with and without an unexpected ICU admission ranged from 2.0 to 5.7-points throughout the year (p < 0.001). CONCLUSION While unexpected ICU admissions are associated with a small increase in the likelihood of experiencing a moderate-to-severe symptom burden, most patients do not experience a high overall symptom burden during the year after surgery. These findings support the role of aggressive therapy among older adults after major surgery.
Collapse
Affiliation(s)
- Bourke W Tillmann
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada.
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue - Room D108, Toronto, ON, M4N 3M5, Canada.
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.
| | - Julie Hallet
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, ON, Canada
- Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- Clinical Evaluative Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Rinku Sutradhar
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- Clinical Evaluative Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Matthew P Guttman
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Natalie Coburn
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, ON, Canada
- Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- Clinical Evaluative Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Tyler R Chesney
- Department of Surgery, University of Toronto, Toronto, ON, Canada
- Department of Surgery, Unity Health, Toronto, ON, Canada
| | - Jesse Zuckerman
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Alyson Mahar
- Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | | | - Barbara Haas
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, 2075 Bayview Avenue - Room D108, Toronto, ON, M4N 3M5, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Surgery, University of Toronto, Toronto, ON, Canada
- Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- Clinical Evaluative Sciences, Sunnybrook Research Institute, Toronto, ON, Canada
| |
Collapse
|
42
|
Bosma KJ, Martin CM, Burns KEA, Mancebo Cortes J, Suárez Montero JC, Skrobik Y, Thorpe KE, Amaral ACKB, Arabi Y, Basmaji J, Beduneau G, Beloncle F, Carteaux G, Charbonney E, Demoule A, Dres M, Fanelli V, Geagea A, Goligher E, Lellouche F, Maraffi T, Mercat A, Rodriguez PO, Shahin J, Sibley S, Spadaro S, Vaporidi K, Wilcox ME, Brochard L. Study protocol for a randomized controlled trial of Proportional Assist Ventilation for Minimizing the Duration of Mechanical Ventilation: the PROMIZING study. Trials 2023; 24:232. [PMID: 36973743 PMCID: PMC10041480 DOI: 10.1186/s13063-023-07163-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 01/17/2023] [Indexed: 03/29/2023] Open
Abstract
BACKGROUND Proportional assist ventilation with load-adjustable gain factors (PAV+) is a mechanical ventilation mode that delivers assistance to breathe in proportion to the patient's effort. The proportional assistance, called the gain, can be adjusted by the clinician to maintain the patient's respiratory effort or workload within a normal range. Short-term and physiological benefits of this mode compared to pressure support ventilation (PSV) include better patient-ventilator synchrony and a more physiological response to changes in ventilatory demand. METHODS The objective of this multi-centre randomized controlled trial (RCT) is to determine if, for patients with acute respiratory failure, ventilation with PAV+ will result in a shorter time to successful extubation than with PSV. This multi-centre open-label clinical trial plans to involve approximately 20 sites in several continents. Once eligibility is determined, patients must tolerate a short-term PSV trial and either (1) not meet general weaning criteria or (2) fail a 2-min Zero Continuous Positive Airway Pressure (CPAP) Trial using the rapid shallow breathing index, or (3) fail a spontaneous breathing trial (SBT), in this sequence. Then, participants in this study will be randomized to either PSV or PAV+ in a 1:1 ratio. PAV+ will be set according to a target of muscular pressure. The weaning process will be identical in the two arms. Time to liberation will be the primary outcome; ventilator-free days and other outcomes will be measured. DISCUSSION Meta-analyses comparing PAV+ to PSV suggest PAV+ may benefit patients and decrease healthcare costs but no powered study to date has targeted the difficult to wean patient population most likely to benefit from the intervention, or used consistent timing for the implementation of PAV+. Our enrolment strategy, primary outcome measure, and liberation approaches may be useful for studying mechanical ventilation and weaning and can offer important results for patients. TRIAL REGISTRATION ClinicalTrials.gov NCT02447692 . Prospectively registered on May 19, 2015.
Collapse
Affiliation(s)
- Karen J Bosma
- Division of Critical Care, Department of Medicine, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada.
| | - Claudio M Martin
- Division of Critical Care, Department of Medicine, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
| | - Karen E A Burns
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada
- Division of Critical Care, Unity Health Toronto - St. Michael's Hospital, Toronto, ON, Canada
| | | | | | - Yoanna Skrobik
- Department of Medicine, McGill University, Québec, Canada
| | - Kevin E Thorpe
- Dalla Lana School of Public Health, Biostatistics Division, University of Toronto, Toronto, ON, Canada
- Applied Health Research Centre (AHRC), Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Canada
| | - Andre Carlos Kajdacsy-Balla Amaral
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada
- Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, 2075 Bayview Ave, Toronto, ON, Canada
| | - Yaseen Arabi
- Intensive Care Department, King Abdulaziz Medical City, Riyadh, Kingdom of Saudi Arabia
| | - John Basmaji
- Division of Critical Care, Department of Medicine, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London Health Sciences Centre, London, ON, Canada
| | - Gaëtan Beduneau
- Medical Intensive Care Unit, Normandie Univ, UNIROUEN, EA 3830, Rouen University Hospital, 76000, Rouen, France
| | - Francois Beloncle
- Medical Intensive Care Department, Angers University Hospital, Angers, France
| | - Guillaume Carteaux
- Service de Médecine Intensive Réanimation, Assistance Publique-Hôpitaux de Paris, CHU Henri Mondor-Albert Chenevier, Creteil, France
| | - Emmanuel Charbonney
- Centre Hospitalier de l'Université de Montréal (CHUM) and Hôpital du Sacré-Coeur de Montréal, Montreal, QC, Canada
| | - Alexandre Demoule
- Service de Médecine intensive - Réanimation Département, Hôpital Universitaire Pitié-Salpêtrière and Sorbonne Université Médecine, Paris, France
| | - Martin Dres
- Service de Médecine intensive - Réanimation Département, Hôpital Universitaire Pitié-Salpêtrière and Sorbonne Université Médecine, Paris, France
| | - Vito Fanelli
- Department of Surgical Sciences, University of Turin, Turin, Italy
- Department of Anaesthesia, Critical Care and Emergency - Città della Salute e della Scienza Hospital - University of Turin, Turin, Italy
| | - Anna Geagea
- Division of Critical Care Medicine, Department of Medicine, North York General Hospital, Toronto, ON, Canada
| | - Ewan Goligher
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada
- Department of Medicine, Toronto General Hospital, Toronto, ON, Canada
| | - François Lellouche
- Centre de recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec (IUCPQ) - Université Laval, Québec City, QC, Canada
| | - Tommaso Maraffi
- Intensive Care Unit, Hôpital Intercommunal de Créteil, Créteil, France
| | - Alain Mercat
- Medical Intensive Care Department, Angers University Hospital, Angers, France
| | - Pablo O Rodriguez
- Intensive Care Unit, Instituto Universitario CEMIC (Centro de Educación Médica e Investigaciones Clínicas "Norberto Quirno"), Av. Cnel. Diaz 2423 3rd floor, Buenos Aires, Argentina
| | - Jason Shahin
- Department of Critical Care, Division of Pulmonary Medicine, McGill University, Québec, Canada
| | - Stephanie Sibley
- Department of Emergency Medicine and Department of Critical Care Medicine, Queen's University, Kingston, ON, Canada
| | - Savino Spadaro
- Department of Translational Medicine, Faculty of Medicine and Surgery, University of Ferrara, Ferrara, Italy
| | | | - M Elizabeth Wilcox
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada
- University Health Network , Toronto, ON, Canada
| | - Laurent Brochard
- Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON, Canada
- Keenan Research Centre, Department of Critical Care, St Michael's Hospital, Unity Health Toronto, Toronto, Canada
| | | | | |
Collapse
|
43
|
Affiliation(s)
- Margaret S Herridge
- From Critical Care and Respiratory Medicine, University Health Network, Toronto General Research Institute, Institute of Medical Sciences, Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto; and Médecine Intensive et Réanimation, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, University of Paris, Paris
| | - Élie Azoulay
- From Critical Care and Respiratory Medicine, University Health Network, Toronto General Research Institute, Institute of Medical Sciences, Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto; and Médecine Intensive et Réanimation, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, University of Paris, Paris
| |
Collapse
|
44
|
Mc Mahon A, Griffin S, Gorman E, Lennon A, Kielthy S, Flannery A, Cherian BS, Josy M, Marsh B. Patient-Centred Outcomes Following Tracheostomy in Critical Care. J Intensive Care Med 2023:8850666231160669. [PMID: 36883211 PMCID: PMC10374991 DOI: 10.1177/08850666231160669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
INTRODUCTION Around 20% of intensive care unit (ICU) patients undergo tracheostomy insertion and expect high-quality care concentrating on patient-centered outcomes including communication, oral intake, and mobilization. The majority of data has focused on timing, mortality, and resource utilization, with a paucity of information on quality of life following tracheostomy. METHODS Single center retrospective study including all patients requiring tracheostomy from 2017 to 2019. Information collected on demographics, severity of illness, ICU and hospital length of stay (LOS), ICU and hospital mortality, discharge disposition, sedation, time to vocalization, swallow and mobilization. Outcomes were compared for early versus late tracheostomy (early = <day 10) and age category (≤ 65 vs ≥ 66 years). RESULTS In total, 304 patients were included and 71% male, median age 59, APACHE II score 17. Median ICU and hospital LOS 16 and 56 days, respectively. ICU and hospital mortality 9.9% and 22.4%. Median time to tracheostomy 8 days, 8.55% open. Following tracheostomy, median days of sedation was 0, time to noninvasive ventilation (NIV) 1 day (94% of patients achieving this), ventilator-free breathing (VFB) 5 days (72%), speaking valve 7 days (60%), dynamic sitting 5 days (64%), and swallow assessment 16 days (73%). Early tracheostomy was associated with shorter ICU LOS (13 vs 26 days, P < .0001), reduced sedation (6 vs 12 days, P < .0001), faster transition to level 2 care (6 vs 10 days, P < .003), NIV (1 vs 2 days, P < .003), and VFB (4 vs 7 days, P < .005). Older patients received less sedation, had higher APACHE II scores and mortality (36.1%) and 18.5% were discharged home. Median time to VFB was 6 days (63.9%), speaking valve 7 days (64.7%), swallow assessment 20.5 days (66.7%), and dynamic sitting 5 days (62.2%). CONCLUSION Patient-centered outcomes are a worthy goal to consider when selecting patients for tracheostomy in addition to mortality or timing alone, including in older patients.
Collapse
Affiliation(s)
- A Mc Mahon
- Department of Critical Care Medicine, 8881Mater Misericordiae University Hospital, Dublin, Ireland
| | - S Griffin
- Department of Critical Care Medicine, 8881Mater Misericordiae University Hospital, Dublin, Ireland
| | - Emma Gorman
- Department of Critical Care Medicine, 8881Mater Misericordiae University Hospital, Dublin, Ireland
| | - Aoife Lennon
- Department of Critical Care Medicine, 8881Mater Misericordiae University Hospital, Dublin, Ireland
| | - Stephen Kielthy
- Department of Critical Care Medicine, 8881Mater Misericordiae University Hospital, Dublin, Ireland
| | - Andrea Flannery
- Department of Critical Care Medicine, 8881Mater Misericordiae University Hospital, Dublin, Ireland
| | - Bindu Sam Cherian
- Department of Critical Care Medicine, 8881Mater Misericordiae University Hospital, Dublin, Ireland
| | - Minu Josy
- Department of Critical Care Medicine, 8881Mater Misericordiae University Hospital, Dublin, Ireland
| | - B Marsh
- Department of Critical Care Medicine, 8881Mater Misericordiae University Hospital, Dublin, Ireland
| |
Collapse
|
45
|
Yarnell CJ, Patel BK. When Should We Intubate in Hypoxemic Respiratory Failure? NEJM EVIDENCE 2023; 2:EVIDtt2200305. [PMID: 38320017 DOI: 10.1056/evidtt2200305] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Intubation during Hypoxemic Respiratory FailureThere is little evidence to guide the common and high-stakes decision to initiate invasive ventilation in hypoxemic respiratory failure. In this Tomorrow's Trial, Yarnell and Patel propose a randomized trial of different physiological thresholds for the initiation of invasive ventilation.
Collapse
|
46
|
Taran S, Coiffard B, Huszti E, Li Q, Chu L, Thomas C, Burns S, Robles P, Herridge MS, Goligher EC. Association of Days Alive and at Home at Day 90 After Intensive Care Unit Admission With Long-term Survival and Functional Status Among Mechanically Ventilated Patients. JAMA Netw Open 2023; 6:e233265. [PMID: 36929399 PMCID: PMC10020882 DOI: 10.1001/jamanetworkopen.2023.3265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
IMPORTANCE Many conventional end points in randomized clinical trials of interventions for critically ill patients do not account for patient-centered concerns such as time at home, physical function, and quality of life after critical illness. OBJECTIVE To establish whether days alive and at home at day 90 (DAAH90) is associated with long-term survival and functional outcomes in mechanically ventilated patients. DESIGN, SETTING, AND PARTICIPANTS The RECOVER prospective cohort study was conducted from February 2007 to March 2014, using data from 10 intensive care units (ICUs) in Canada. Patients were included in the baseline cohort if they were aged 16 years or older and underwent invasive mechanical ventilation for 7 or more days. The follow-up cohort analyzed here comprised RECOVER patients who were alive and had functional outcomes ascertained at 3, 6, and 12 months. Secondary data analysis occurred from July 2021 to August 2022. EXPOSURES Composite of survival and days alive and at home at day 90 after ICU admission (DAAH90). MAIN OUTCOMES AND MEASURES Functional outcomes at 3, 6, and 12 months were evaluated with the Functional Independence Measure (FIM), the 6-Minute Walk Test (6MWT), the Medical Research Council (MRC) Scale for Muscle Strength, and the 36-Item Short Form Health Survey physical component summary (SF-36 PCS). Mortality was evaluated at 1 year from ICU admission. Ordinal logistic regression was used to describe the association between DAAH90 tertiles and outcomes. Cox proportional hazards regression models were used to examine the independent association of DAAH90 tertiles with mortality. RESULTS The baseline cohort comprised 463 patients. Their median age was 58 years (IQR, 47-68 years), and 278 patients (60.0%) were men. In these patients, Charlson Comorbidity Index score, Acute Physiology and Chronic Health Evaluation II score, ICU intervention (eg, kidney replacement therapy or tracheostomy), and ICU length of stay were independently associated with lower DAAH90. The follow-up cohort comprised 292 patients. Their median age was 57 years (IQR, 46-65 years), and 169 patients (57.9%) were men. Among patients who survived to day 90, lower DAAH90 was associated with higher mortality at 1 year after ICU admission (tertile 1 vs tertile 3: adjusted hazard ratio [HR], 0.18 [95% CI, 0.07-0.43]; P < .001). At 3 months of follow-up, lower DAAH90 was independently associated with lower median scores on the FIM (tertile 1 vs tertile 3, 76 [IQR, 46.2-101] vs 121 [IQR, 112-124.2]; P = .04), 6MWT (tertile 1 vs tertile 3, 98 [IQR, 0-239] vs 402 [IQR, 300-494]; P < .001), MRC (tertile 1 vs tertile 3, 48 [IQR, 32-54] vs 58 [IQR, 51-60]; P < .001), and SF-36 PCS (tertile 1 vs tertile 3, 30 [IQR, 22-38] vs 37 [IQR, 31-47]; P = .001) measures. Among patients who survived to 12 months, being in tertile 3 vs tertile 1 for DAAH90 was associated with higher FIM score at 12 months (estimate, 22.4 [95% CI, 14.8-30.0]; P < .001), but this association was not present for ventilator-free days (estimate, 6.0 [95% CI, -2.2 to 14.1]; P = .15) or ICU-free days (estimate, 5.9 [95% CI, -2.1 to 13.8]; P = .15) at day 28. CONCLUSIONS AND RELEVANCE In this study, lower DAAH90 was associated with greater long-term mortality risk and worse functional outcomes among patients who survived to day 90. These findings suggest that the DAAH90 end point reflects long-term functional status better than standard clinical end points in ICU studies and may serve as a patient-centered end point in future clinical trials.
Collapse
Affiliation(s)
- Shaurya Taran
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Benjamin Coiffard
- Department of Respiratory Medicine, Assistance Publique-Hopitaux de Marseille, Aix-Marseille University, Marseille, France
| | - Ella Huszti
- Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Qixuan Li
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Leslie Chu
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Claire Thomas
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Stacey Burns
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Priscila Robles
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
| | - Margaret S. Herridge
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute for Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Division of Respirology, Department of Medicine, University Health Network, Toronto, Ontario, Canada
| | - Ewan C. Goligher
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto General Hospital Research Institute, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Division of Respirology, Department of Medicine, University Health Network, Toronto, Ontario, Canada
| |
Collapse
|
47
|
Yarnell CJ, Angriman F, Ferreyro BL, Liu K, De Grooth HJ, Burry L, Munshi L, Mehta S, Celi L, Elbers P, Thoral P, Brochard L, Wunsch H, Fowler RA, Sung L, Tomlinson G. Oxygenation thresholds for invasive ventilation in hypoxemic respiratory failure: a target trial emulation in two cohorts. Crit Care 2023; 27:67. [PMID: 36814287 PMCID: PMC9944781 DOI: 10.1186/s13054-023-04307-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 01/06/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND The optimal thresholds for the initiation of invasive ventilation in patients with hypoxemic respiratory failure are unknown. Using the saturation-to-inspired oxygen ratio (SF), we compared lower versus higher hypoxemia severity thresholds for initiating invasive ventilation. METHODS This target trial emulation included patients from the Medical Information Mart for Intensive Care (MIMIC-IV, 2008-2019) and the Amsterdam University Medical Centers (AmsterdamUMCdb, 2003-2016) databases admitted to intensive care and receiving inspired oxygen fraction ≥ 0.4 via non-rebreather mask, noninvasive ventilation, or high-flow nasal cannula. We compared the effect of using invasive ventilation initiation thresholds of SF < 110, < 98, and < 88 on 28-day mortality. MIMIC-IV was used for the primary analysis and AmsterdamUMCdb for the secondary analysis. We obtained posterior means and 95% credible intervals (CrI) with nonparametric Bayesian G-computation. RESULTS We studied 3,357 patients in the primary analysis. For invasive ventilation initiation thresholds SF < 110, SF < 98, and SF < 88, the predicted 28-day probabilities of invasive ventilation were 72%, 47%, and 19%. Predicted 28-day mortality was lowest with threshold SF < 110 (22.2%, CrI 19.2 to 25.0), compared to SF < 98 (absolute risk increase 1.6%, CrI 0.6 to 2.6) or SF < 88 (absolute risk increase 3.5%, CrI 1.4 to 5.4). In the secondary analysis (1,279 patients), the predicted 28-day probability of invasive ventilation was 50% for initiation threshold SF < 110, 28% for SF < 98, and 19% for SF < 88. In contrast with the primary analysis, predicted mortality was highest with threshold SF < 110 (14.6%, CrI 7.7 to 22.3), compared to SF < 98 (absolute risk decrease 0.5%, CrI 0.0 to 0.9) or SF < 88 (absolute risk decrease 1.9%, CrI 0.9 to 2.8). CONCLUSION Initiating invasive ventilation at lower hypoxemia severity will increase the rate of invasive ventilation, but this can either increase or decrease the expected mortality, with the direction of effect likely depending on baseline mortality risk and clinical context.
Collapse
Affiliation(s)
- Christopher J. Yarnell
- grid.17063.330000 0001 2157 2938Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada ,grid.231844.80000 0004 0474 0428Department of Medicine, Division of Respirology, University Health Network and Sinai Health System, Toronto, Canada ,grid.17063.330000 0001 2157 2938Institute of Health Policy, Management and Evaluation, University of Toronto, Medical-Surgical ICU, 10th floor, 585 University Avenue, Toronto, ON M5G 1X5 Canada
| | - Federico Angriman
- grid.17063.330000 0001 2157 2938Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada ,grid.17063.330000 0001 2157 2938Institute of Health Policy, Management and Evaluation, University of Toronto, Medical-Surgical ICU, 10th floor, 585 University Avenue, Toronto, ON M5G 1X5 Canada ,grid.413104.30000 0000 9743 1587Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Bruno L. Ferreyro
- grid.17063.330000 0001 2157 2938Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada ,grid.231844.80000 0004 0474 0428Department of Medicine, Division of Respirology, University Health Network and Sinai Health System, Toronto, Canada ,grid.17063.330000 0001 2157 2938Institute of Health Policy, Management and Evaluation, University of Toronto, Medical-Surgical ICU, 10th floor, 585 University Avenue, Toronto, ON M5G 1X5 Canada
| | - Kuan Liu
- grid.17063.330000 0001 2157 2938Institute of Health Policy, Management and Evaluation, University of Toronto, Medical-Surgical ICU, 10th floor, 585 University Avenue, Toronto, ON M5G 1X5 Canada
| | - Harm Jan De Grooth
- grid.12380.380000 0004 1754 9227Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Lisa Burry
- grid.17063.330000 0001 2157 2938Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada ,grid.492573.e0000 0004 6477 6457Department of Pharmacy and Medicine, Sinai Health System, Toronto, Canada ,grid.17063.330000 0001 2157 2938Leslie Dan Faculty of Pharmacy and Interdepartmental Division of Critical Care, University of Toronto, Toronto, ON Canada
| | - Laveena Munshi
- grid.17063.330000 0001 2157 2938Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada ,grid.231844.80000 0004 0474 0428Department of Medicine, Division of Respirology, University Health Network and Sinai Health System, Toronto, Canada
| | - Sangeeta Mehta
- grid.17063.330000 0001 2157 2938Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada ,grid.231844.80000 0004 0474 0428Department of Medicine, Division of Respirology, University Health Network and Sinai Health System, Toronto, Canada
| | - Leo Celi
- grid.116068.80000 0001 2341 2786Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02142 USA ,grid.239395.70000 0000 9011 8547Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215 USA ,grid.38142.3c000000041936754XDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA
| | - Paul Elbers
- grid.12380.380000 0004 1754 9227Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Patrick Thoral
- grid.12380.380000 0004 1754 9227Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Laurent Brochard
- grid.415502.7Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St Michael’s Hospital, Unity Health Toronto, Toronto, Canada ,grid.17063.330000 0001 2157 2938Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada
| | - Hannah Wunsch
- grid.418647.80000 0000 8849 1617Institute for Clinical Evaluative Sciences, Toronto, Canada ,grid.17063.330000 0001 2157 2938Institute of Health Policy, Management and Evaluation, University of Toronto, Medical-Surgical ICU, 10th floor, 585 University Avenue, Toronto, ON M5G 1X5 Canada ,grid.413104.30000 0000 9743 1587Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Robert A. Fowler
- grid.17063.330000 0001 2157 2938Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada ,grid.17063.330000 0001 2157 2938Department of Medicine, University of Toronto, Toronto, Canada ,grid.418647.80000 0000 8849 1617Institute for Clinical Evaluative Sciences, Toronto, Canada ,grid.17063.330000 0001 2157 2938Institute of Health Policy, Management and Evaluation, University of Toronto, Medical-Surgical ICU, 10th floor, 585 University Avenue, Toronto, ON M5G 1X5 Canada ,grid.413104.30000 0000 9743 1587Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Lillian Sung
- grid.17063.330000 0001 2157 2938Institute of Health Policy, Management and Evaluation, University of Toronto, Medical-Surgical ICU, 10th floor, 585 University Avenue, Toronto, ON M5G 1X5 Canada ,grid.42327.300000 0004 0473 9646Division of Haematology/Oncology, The Hospital for Sick Children, Toronto, Canada
| | - George Tomlinson
- grid.231844.80000 0004 0474 0428Department of Medicine, University Health Network and Sinai Health System, Toronto, Canada ,grid.17063.330000 0001 2157 2938Institute of Health Policy, Management and Evaluation, University of Toronto, Medical-Surgical ICU, 10th floor, 585 University Avenue, Toronto, ON M5G 1X5 Canada
| |
Collapse
|
48
|
Teijeiro-Paradis R, Del Sorbo L. VV-ECMO in severe COVID-19: multidimensional perspectives on the use of a complex treatment. THE LANCET. RESPIRATORY MEDICINE 2023; 11:113-115. [PMID: 36640787 PMCID: PMC9833831 DOI: 10.1016/s2213-2600(22)00487-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 11/21/2022] [Indexed: 01/13/2023]
Affiliation(s)
- Ricardo Teijeiro-Paradis
- Interdepartmental Division of Critical Care Medicine, Toronto General Hospital, University Health Network, University of Toronto, Toronto, ON, M5G 2G2, Canada
| | - Lorenzo Del Sorbo
- Interdepartmental Division of Critical Care Medicine, Toronto General Hospital, University Health Network, University of Toronto, Toronto, ON, M5G 2G2, Canada.
| |
Collapse
|
49
|
Akinosoglou K, Schinas G, Almyroudi MP, Gogos C, Dimopoulos G. The impact of age on intensive care. Ageing Res Rev 2023; 84:101832. [PMID: 36565961 PMCID: PMC9769029 DOI: 10.1016/j.arr.2022.101832] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
Caring for the elderly has always been challenging for the intensive care unit (ICU) physician. Concerns like frailty, comorbidities, polypharmacy and advanced directives come up even before admission into the unit. The COVID-19 pandemic has put forward a variety of issues concerning elderly populations, making the topic more relevant than ever. Admittance to the ICU, an unequivocally multifactorial decision, requires special consideration from the side of the physician when caring for an elderly person. Patients' wishes are to be respected and thus given priority. Triage assessment must also account for age-related physiological alterations and functional status. Once in the ICU, special attention should be given to age-related specificities, such as therapeutic interventions' controversial role, infection susceptibility, and post-operative care, that could potentially alter the course of hospitalization and affect outcomes. Following ICU discharge, ensuring proper rehabilitation for both survivors and their caregivers can improve long-term outcomes and subsequent quality of life. The pandemic and its implications may limit the standard of care for the elderly requiring ICU support. Socioeconomic factors that further perplex the situation must be addressed. Elderly patients currently represent a vast expanding population in ICU. Tailoring safe treatment plans to match patients' wishes, and personalized needs will guide critical care for the elderly from this time forward.
Collapse
Affiliation(s)
- Karolina Akinosoglou
- Department of Internal Medicine and Infectious Diseases, Medical School University of Patras, Greece.
| | - Georgios Schinas
- Department of Internal Medicine, Medical School University of Patras, Greece
| | - Maria Panagiota Almyroudi
- Department of Emergency Medicine, University Hospital ATTIKON, Medical School, National and Kapodistrian University of Athens, Greece
| | - Charalambos Gogos
- Department of Internal Medicine and Infectious Diseases, Medical School University of Patras, Greece
| | - George Dimopoulos
- 3rd Department of Critical Care, EVGENIDIO Hospital, National and Kapodistrian University of Athens, Medical School, Greece
| |
Collapse
|
50
|
Dragoi L, Herridge MS. COVID-19 Extracorporeal Membrane Oxygenation Outcomes: Reporting One-Year Multidimensional Outcomes as Standard Practice. Am J Respir Crit Care Med 2023; 207:120-122. [PMID: 36301934 PMCID: PMC9893327 DOI: 10.1164/rccm.202210-1952ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Affiliation(s)
- Laura Dragoi
- Interdepartmental Division of Critical CareUniversity of TorontoToronto, Ontario, Canada
| | - Margaret S. Herridge
- Interdepartmental Division of Critical CareandInstitute of Medical SciencesUniversity of TorontoToronto, Ontario, Canada,Critical Care and Respiratory MedicineandToronto General Hospital Research InstituteUniversity Health NetworkToronto, Ontario, Canada
| |
Collapse
|