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Salluh JIF, Quintairos A, Dongelmans DA, Aryal D, Bagshaw S, Beane A, Burghi G, López MDPA, Finazzi S, Guidet B, Hashimoto S, Ichihara N, Litton E, Lone NI, Pari V, Sendagire C, Vijayaraghavan BKT, Haniffa R, Pisani L, Pilcher D. National ICU Registries as Enablers of Clinical Research and Quality Improvement. Crit Care Med 2024; 52:125-135. [PMID: 37698452 DOI: 10.1097/ccm.0000000000006050] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
OBJECTIVES Clinical quality registries (CQRs) have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. This narrative review describes the challenges, proposed solutions, and evidence generated by National ICU registries as facilitators for research and quality improvement. DATA SOURCES English language articles were identified in PubMed using phrases related to ICU registries, CQRs, outcomes, and case-mix. STUDY SELECTION Original research, review articles, letters, and commentaries, were considered. DATA EXTRACTION Data from relevant literature were identified, reviewed, and integrated into a concise narrative review. DATA SYNTHESIS CQRs have been implemented worldwide by several medical specialties aiming to generate a better characterization of epidemiology, treatments, and outcomes of patients. National ICU registries were created almost 3 decades ago to improve the understanding of case-mix, resource use, and outcomes of critically ill patients. The initial experience in European countries and in Oceania ensured that through locally generated data, ICUs could assess their performances by using risk-adjusted measures and compare their results through fair and validated benchmarking metrics with other ICUs contributing to the CQR. The accomplishment of these initiatives, coupled with the increasing adoption of information technology, resulted in a broad geographic expansion of CQRs as well as their use in quality improvement studies, clinical trials as well as international comparisons, and benchmarking for ICUs. CONCLUSIONS ICU registries have provided increased knowledge of case-mix and outcomes of ICU patients based on real-world data and contributed to improve care delivery through quality improvement initiatives and trials. Recent increases in adoption of new technologies (i.e., cloud-based structures, artificial intelligence, machine learning) will ensure a broader and better use of data for epidemiology, healthcare policies, quality improvement, and clinical trials.
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Affiliation(s)
- Jorge I F Salluh
- D'Or Institute for Research and Education, Rio de Janeiro, Brazil
- Post-Graduation Program, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Amanda Quintairos
- D'Or Institute for Research and Education, Rio de Janeiro, Brazil
- Department of Critical and Intensive Care Medicine, Academic Hospital Fundación Santa Fe de Bogota, Bogota, Colombia
| | - Dave A Dongelmans
- Amsterdam UMC location University of Amsterdam, Department of Intensive Care Medicine, Amsterdam, The Netherlands
- National Intensive Care Evaluation (NICE) Foundation, Amsterdam, The Netherlands
| | - Diptesh Aryal
- National Coordinator, Nepal Intensive Care Research Foundation, Kathmandu, Nepal
| | - Sean Bagshaw
- Department of Medicine, Faculty of Medicine and Dentistry (Ling, Bagshaw), University of Alberta and Alberta Health Services, Edmonton, AB, Canada
- Division of Internal Medicine (Villeneuve), Department of Critical Care Medicine, Faculty of Medicine and Dentistry and School of Public Health, University of Alberta and Grey Nuns Hospitals, Edmonton, AB, Canada
| | - Abigail Beane
- Critical Care, Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | | | - Maria Del Pilar Arias López
- Argentine Society of Intensive Care (SATI). SATI-Q Program, Buenos Aires, Argentina
- Intermediate Care Unit, Hospital de Niños Ricardo Gutierrez, Buenos Aires, Argentina
| | - Stefano Finazzi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Ranica, Italy
- Associazione GiViTI, c/o Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Bertrand Guidet
- Sorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Saint-Antoine, service de réanimation, Paris, France
| | - Satoru Hashimoto
- Division of Intensive Care, Department of Anesthesiology and Intensive Care Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Nao Ichihara
- Department of Healthcare Quality Assessment, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Edward Litton
- Fiona Stanley Hospital, Perth, WA
- The University of Western Australia, Perth, WA
| | - Nazir I Lone
- Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
- Scottish Intensive Care Society Audit Group, United Kingdom
| | - Vrindha Pari
- Chennai Critical Care Consultants, Pvt Ltd, Chennai, India
| | - Cornelius Sendagire
- D'Or Institute for Research and Education, Rio de Janeiro, Brazil
- Anesthesia and Critical Care, Makerere University College of Health Sciences, Kampala, Uganda
| | | | - Rashan Haniffa
- Critical Care, Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
- Crit Care Asia, Network for Improving Critical Care Systems and Training, Colombo, Sri Lanka
- Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom
| | - Luigi Pisani
- Critical Care, Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
| | - David Pilcher
- University College Hospital, London, United Kingdom
- Department of Intensive Care, Alfred Health, Prahran, VIC, Australia
- The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation, Camberwell, Australia
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2
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Chung NR, Chae SM. Mothering children at a paediatric intensive care unit with strict visiting hours: A qualitative study. Nurs Crit Care 2023. [PMID: 37818784 DOI: 10.1111/nicc.12985] [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: 11/10/2022] [Revised: 08/29/2023] [Accepted: 09/13/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Although a child- and family-centred care (CFCC) philosophy has been emphasized and adopted for decades in paediatric critical care settings in several countries, numerous issues from parents' perspectives regarding the philosophy remain unresolved. To facilitate the full translation of CFCC into clinical practice, health care professionals need an in-depth understanding of family experiences. Real-life mothering experiences, including maternal roles and identities, remain largely unknown at paediatric intensive care units (PICUs) in the Republic of Korea, where family visitation, presence, and participation are restricted. AIM To explore mothering experiences at a PICU where family visitation is strictly constrained, and to identify maternal needs and values. STUDY DESIGN We conducted a qualitative descriptive study of eight individual in-depth interviews with seven mothers of hospitalized children. Qualitative data were analysed using inductive thematic analysis. FINDINGS Five major themes, along with four subthemes, emerged: (1) shifts in maternal roles and responsibilities, (2) shifts in interpersonal relationships, (3) desire for CFCC in the PICU, (4) practising self-defined mothering roles, and (5) reconstructing maternal identities. The themes revealed the experiences of becoming mothers of a child in a constrained PICU. Ultimately, mothers demanded that the unit improve its physical and cultural environments through, for example, liberalized family visitation and participation in the care of their children. CONCLUSIONS Nursing professionals should lead the charge for humanizing a restrictive PICU in the Republic of Korea by ensuring a safe and open environment and mothering continuity based on child- and family-centred holistic care. RELEVANCE TO CLINICAL PRACTICE Effective interventions must be developed and tested to globally establish and fully implement strong evidence-based CFCC in PICUs; constant co-commitment among children, families, health care professionals, and institutions is also necessary.
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Affiliation(s)
- Na-Ry Chung
- Seoul National University Hospital, Seoul, Republic of Korea
| | - Sun-Mi Chae
- Seoul National University College of Nursing, The Research Institute of Nursing Science, Seoul, Republic of Korea
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3
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Burghi G, Metaxa V, Pickkers P, Soares M, Rello J, Bauer PR, van de Louw A, Taccone FS, Loeches IM, Schellongowski P, Rusinova K, Antonelli M, Kouatchet A, Barratt-Due A, Valkonen M, Pène F, Mokart D, Jaber S, Azoulay E, De Jong A. End of life decisions in immunocompromised patients with acute respiratory failure. J Crit Care 2022; 72:154152. [PMID: 36137351 DOI: 10.1016/j.jcrc.2022.154152] [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: 07/29/2022] [Revised: 08/23/2022] [Accepted: 09/05/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE To identify patient, disease and organizational factors associated with decisions to forgo life-sustaining therapies (DFLSTs) in critically ill immunocompromised patients admitted to the intensive care unit (ICU) for acute respiratory failure. MATERIAL AND METHODS We performed a secondary analysis of the international EFRAIM prospective study, which enrolled 1611 immunocompromised patients with acute respiratory failure admitted to 68 ICUs in 16 countries between October 2015 and June 2016. Multivariate logistic analysis was performed to identify independent predictors of DFLSTs. RESULTS The main causes of immunosuppression were hematological malignancies (50%) and solid tumor (38%). Patients had a median age of 63 yo (54-71). A pulmonologist was involved in the patient management in 38% of cases. DFLSTs had been implemented in 28% of the patients. The following variables were independently associated with DFLSTs: 1) patient-related: older age (OR 1.02 per one year increase, 95% confidence interval(CI) 1.01-1.03,P < 0.001), poor performance status (OR 2.79, 95% CI 1.98-3.93, P < 0.001); 2) disease-related: shock (OR 2.00, 95% CI 1.45-2.75, P < 0.001), liver failure (OR 1.59, 95% CI 1.14-2.21, P = 0.006), invasive mechanical ventilation (OR 1.79, 95% CI 1.31-2.46, P < 0.001); 3) organizational: having a pulmonologist involved in patient management (OR 1.85, 95% CI 1.36-2.52, P < 0.001), and the presence of a critical care outreach services (OR 1.63, 95% CI 1.11-2.38, P = 0.012). CONCLUSIONS A DFLST is made in one in four immunocompromised patient admitted to the ICU for acute respiratory failure. Involving a pulmonologist in patient's management is associated with less non beneficial care.
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Affiliation(s)
- Gaston Burghi
- Terapia Intensiva, Hospital Maciel - Montevideo, Uruguay
| | | | - Peter Pickkers
- The Department of Intensive Care Medicine (710), Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Marcio Soares
- Terapia Intensiva, Hospital Maciel - Montevideo, Uruguay
| | - Jordi Rello
- CIBERES, Universitat Autonòma de Barcelona, European Study Group of Infections in Critically Ill Patients (ESGCIP), Barcelona, Spain
| | - Philippe R Bauer
- Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA
| | - Andry van de Louw
- Penn State University College of Medicine, Division of Pulmonary and Critical Care, Hershey, PA, USA
| | - Fabio Silvio Taccone
- Department of Intensive Care, Hôpital Erasme, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Ignacio Martin Loeches
- Department of Intensive Care Medicine, Multidisciplinary Intensive Care Research Organization (MICRO), St. James's Hospital, Dublin, Ireland
| | | | - Katerina Rusinova
- Department of Anesthesiology and Intensive Care Medicine and Institute for Medical Humanities, 1st Faculty of Medicine, Charles University in Prague and General University Hospital, Prague, Czech Republic
| | - Massimo Antonelli
- Agostino Gemelli University Hospital, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Achille Kouatchet
- Department of Medical Intensive Care Medicine, University Hospital of Angers, France
| | - Andreas Barratt-Due
- Department of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
| | - Miia Valkonen
- Division of Intensive Care Medicine, Department of Anesthesiology, Intensive Care and Pain Medicine, University of Helsinki and Helsinki University Hospital, Helsinki 00014, Finland
| | - Frédéric Pène
- Medical ICU, Cochin Hospital, Assistance Publique-Hôpitaux de Paris and University Paris Descartes, Paris, France
| | - Djamel Mokart
- Réanimation Polyvalente et Département d'Anesthésie et de Réanimation, Institut Paoli-Calmettes, Marseille, France
| | - Samir Jaber
- Department of Anesthesia and Intensive Care unit, Regional University Hospital of Montpellier, St-Eloi Hospital, University of Montpellier, Phymedexp, Université de Montpellier, Inserm, CNRS, CHRU de Montpellier, Montpellier, France
| | - Elie Azoulay
- Medical Intensive Care Unit, Hôpital Saint-Louis and Paris Diderot Sorbonne University, 1 avenue Claude Vellefaux, cedex 10 75475, Paris
| | - Audrey De Jong
- Department of Anesthesia and Intensive Care unit, Regional University Hospital of Montpellier, St-Eloi Hospital, University of Montpellier, Phymedexp, Université de Montpellier, Inserm, CNRS, CHRU de Montpellier, Montpellier, France.
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Abstract
PURPOSE OF REVIEW Critical care registries are synonymous with measurement of outcomes following critical illness. Their ability to provide longitudinal data to enable benchmarking of outcomes for comparison within units over time, and between units, both regionally and nationally is a key part of the evaluation of quality of care and ICU performance as well as a better understanding of case-mix. This review aims to summarize literature on outcome measures currently being reported in registries internationally, describe the current strengths and challenges with interpreting existing outcomes and highlight areas where registries may help improve implementation and interpretation of both existing and new outcome measures. RECENT FINDINGS Outcomes being widely reported through ICU registries include measures of survival, events of interest, patient-reported outcomes and measures of resource utilization (including cost). Despite its increasing adoption, challenges with quality of reporting of outcomes measures remain. Measures of short-term survival are feasible but those requiring longer follow-ups are increasingly difficult to interpret given the evolving nature of critical care in the context of acute and chronic disease management. Furthermore, heterogeneity in patient populations and in healthcare organisations in different settings makes use of outcome measures for international benchmarking at best complex, requiring substantial advances in their definitions and implementation to support those seeking to improve patient care. SUMMARY Digital registries could help overcome some of the current challenges with implementing and interpreting ICU outcome data through standardization of reporting and harmonization of data. In addition, ICU registries could be instrumental in enabling data for feedback as part of improvement in both patient-centred outcomes and in service outcomes; notably resource utilization and efficiency.
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Affiliation(s)
- Abi Beane
- Mahidol Oxford Tropical Medicine Research Unit, Oxford University, UK
| | - Jorge I.F. Salluh
- D’Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
- Postgraduate program, Internal Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rashan Haniffa
- Mahidol Oxford Tropical Medicine Research Unit, Oxford University, UK
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Cherak SJ, Soo A, Brown KN, Ely EW, Stelfox HT, Fiest KM. Development and validation of delirium prediction model for critically ill adults parameterized to ICU admission acuity. PLoS One 2020; 15:e0237639. [PMID: 32813717 PMCID: PMC7437909 DOI: 10.1371/journal.pone.0237639] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 07/29/2020] [Indexed: 12/23/2022] Open
Abstract
Background Risk prediction models allow clinicians to forecast which individuals are at a higher risk for developing a particular outcome. We developed and internally validated a delirium prediction model for incident delirium parameterized to patient ICU admission acuity. Methods This retrospective, observational, fourteen medical-surgical ICU cohort study evaluated consecutive delirium-free adults surviving hospital stay with ICU length of stay (LOS) greater than or equal to 24 hours with both an admission APACHE II score and an admission type (e.g., elective post-surgery, emergency post-surgery, non-surgical) in whom delirium was assessed using the Intensive Care Delirium Screening Checklist (ICDSC). Risk factors included in the model were readily available in electric medical records. Least absolute shrinkage and selection operator logistic (LASSO) regression was used for model development. Discrimination was determined using area under the receiver operating characteristic curve (AUC). Internal validation was performed by cross-validation. Predictive performance was determined using measures of accuracy and clinical utility was assessed by decision-curve analysis. Results A total of 8,878 patients were included. Delirium incidence was 49.9% (n = 4,431). The delirium prediction model was parameterized to seven patient cohorts, admission type (3 cohorts) or mean quartile APACHE II score (4 cohorts). All parameterized cohort models were well calibrated. The AUC ranged from 0.67 to 0.78 (95% confidence intervals [CI] ranged from 0.63 to 0.79). Model accuracy varied across admission types; sensitivity ranged from 53.2% to 63.9% while specificity ranged from 69.0% to 74.6%. Across mean quartile APACHE II scores, sensitivity ranged from 58.2% to 59.7% while specificity ranged from 70.1% to 73.6%. The clinical utility of the parameterized cohort prediction model to predict and prevent incident delirium was greater than preventing incident delirium by treating all or none of the patients. Conclusions Our results support external validation of a prediction model parameterized to patient ICU admission acuity to predict a patients’ risk for ICU delirium. Classification of patients’ risk for ICU delirium by admission acuity may allow for efficient initiation of prevention measures based on individual risk profiles.
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Affiliation(s)
- Stephana J. Cherak
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- O’Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Andrea Soo
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
| | - Kyla N. Brown
- PolicyWise for Children & Families, Calgary, AB, Canada
| | - E. Wesley Ely
- Tennessee Valley Veteran’s Affairs Geriatric Research Education Clinical Center, Nashville, TN, United States of America
- Critical Illness, Brain Dysfunction, and Survivorship Center, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Henry T. Stelfox
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- O’Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
| | - Kirsten M. Fiest
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- O’Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary AB, Canada
- * E-mail:
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Bastos LSL, Hamacher S, Zampieri FG, Cavalcanti AB, Salluh JIF, Bozza FA. Structure and process associated with the efficiency of intensive care units in low-resource settings: An analysis of the CHECKLIST-ICU trial database. J Crit Care 2020; 59:118-123. [PMID: 32610246 DOI: 10.1016/j.jcrc.2020.06.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 06/03/2020] [Accepted: 06/05/2020] [Indexed: 12/13/2022]
Abstract
PURPOSE Characteristics of structure and process impact ICU performance and the outcomes of critically ill patients. We sought to identify organizational characteristics associated with efficient ICUs in low-resource settings. MATERIALS AND METHODS This is a secondary analysis of a multicenter cluster-randomized clinical trial in Brazil (CHECKLIST-ICU). Efficient units were defined by standardized mortality ratio (SMR) and standardized resource use (SRU) lower than the overall medians and non-efficient otherwise. We used a regularized logistic regression model to evaluate associations between organizational factors and efficiency. RESULTS From 118 ICUs (13,635 patients), 47 units were considered efficient and 71 non-efficient. Efficient units presented lower incidence rates (median[IQR]) of central line-associated bloodstream infections (4.95[0.00-22.0] vs 6.29[0.00-25.6], p = .04), utilization rates of mechanical ventilation (0.41[0.07-0.73] vs 0.58[0.19-0.82], p < .001), central venous catheter (0.67[0.15-0.98] vs 0.78[0.33-0.98], p = .04), and indwelling urinary catheter (0.62[0.22-0.95] vs 0.76[0.32-0.98], p < .01) than non-efficient units. The reported active surveillance of ventilator-associated pneumonia (OR = 1.72; 95%CI, 1.16-2.57) and utilization of central venous catheters (OR = 1.94; 95%CI, 1.32-2.94) were associated with efficient ICUs. CONCLUSIONS In low-resource settings, active surveillance of nosocomial infections and the utilization of invasive devices were associated with efficiency, supporting the management and evaluation of performance indicators as a starting point for improvement in ICU.
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Affiliation(s)
- Leonardo S L Bastos
- Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil
| | - Silvio Hamacher
- Department of Industrial Engineering, Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Rio de Janeiro, RJ, Brazil
| | - Fernando G Zampieri
- Research Institute, Hospital do Coração (HCor), São Paulo, Brazil; D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Brazilian Research in Intensive Care Network (BRICNet), Brazil
| | - Alexandre B Cavalcanti
- Research Institute, Hospital do Coração (HCor), São Paulo, Brazil; Brazilian Research in Intensive Care Network (BRICNet), Brazil
| | - Jorge I F Salluh
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Brazilian Research in Intensive Care Network (BRICNet), Brazil
| | - Fernando A Bozza
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil; Brazilian Research in Intensive Care Network (BRICNet), Brazil; Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro, RJ, Brazil.
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7
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Flexible Versus Restrictive Visiting Policies in ICUs: A Systematic Review and Meta-Analysis. Crit Care Med 2019; 46:1175-1180. [PMID: 29642108 DOI: 10.1097/ccm.0000000000003155] [Citation(s) in RCA: 136] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To synthesize data on outcomes related to patients, family members, and ICU professionals by comparing flexible versus restrictive visiting policies in ICUs. DATA SOURCES Medline, Scopus, and Web of Science. STUDY SELECTION Observational and randomized studies comparing flexible versus restrictive visiting policies in the ICU and evaluating at least one patient-, family member-, or ICU staff-related outcome. DATA EXTRACTION Duplicate independent review and data abstraction. DATA SYNTHESIS Of 16 studies identified for inclusion, seven were meta-analyzed. Most studies were rated as having a moderate risk of bias. Among patients, flexible visiting policies were associated with reduced frequency of delirium (odds ratio, 0.39; 95% CI, 0.22-0.69; I = 0%) and lower severity of anxiety symptoms (mean difference, -2.20; 95% CI, -3.80 to -0.61; I = 71%). Flexible visiting policies were not associated with increased risk of ICU mortality (odds ratio, 0.71; 95% CI, 0.38-1.36; I = 86%), ICU-acquired infections (odds ratio, 0.98; 95% CI, 0.68-1.42; I = 11%), or longer ICU stay (mean difference, -0.26 d; 95% CI, -0.57 to 0.05; I = 54%). Among family members, flexible visiting policies were associated with greater satisfaction. Among ICU professionals, flexible visiting policies were associated with higher burnout levels. CONCLUSIONS Flexible ICU visiting hours have the potential to reduce delirium and anxiety symptoms among patients and to improve family members' satisfaction. However, they may be associated with an increased risk of burnout among ICU professionals. These conclusions are based on few studies, with small samples and moderate risk of bias.
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8
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Impact of the mother–nurse partnership programme on mother and infant outcomes in paediatric cardiac intensive care unit. Intensive Crit Care Nurs 2019; 50:79-87. [DOI: 10.1016/j.iccn.2018.03.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2017] [Revised: 03/19/2018] [Accepted: 03/26/2018] [Indexed: 11/22/2022]
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Kawano-Dourado L, Zampieri FG, Azevedo LCP, Corrêa TD, Figueiró M, Semler MW, Kellum JA, Cavalcanti AB. Low- Versus High-Chloride Content Intravenous Solutions for Critically Ill and Perioperative Adult Patients: A Systematic Review and Meta-analysis. Anesth Analg 2018; 126:513-521. [PMID: 29189271 DOI: 10.1213/ane.0000000000002641] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
BACKGROUND To assess whether use of low-chloride solutions in unselected critically ill or perioperative adult patients for maintenance or resuscitation reduces mortality and renal replacement therapy (RRT) use when compared to high-chloride fluids. METHODS Systematic review and meta-analysis with random-effects inverse variance model. PubMed, Cochrane library, EMBASE, LILACS, and Web of Science were searched from inception to October 2016. Published and unpublished randomized controlled trials in any language that enrolled critically ill and/or perioperative adult patients and compared a low- to a highchloride solution for volume maintenance or resuscitation. The primary outcomes were mortality and RRT use. We conducted trial sequential analyses and assessed risk of bias of individual trials and the overall quality of evidence. Fifteen trials with 4067 patients, most at low risk of bias, were identified. Of those, only 11 and 10 trials had data on mortality and RRT use, respectively. A total of 3710 patients were included in the mortality analysis and 3724 in the RRT analysis. RESULTS No statistically significant impact on mortality (odds ratio, 0.90; 95% confidence interval, 0.69-1.17; P = .44; I = 0%) or RRT use (odds ratio, 1.12; 95% confidence interval, 0.80-1.58; P = .52; I = 0%) was found. Overall quality of evidence was low for both primary outcomes. Trial sequential analyses highlighted that the sample size needed was much larger than that available for properly powered outcome assessment. CONCLUSIONS The current evidence on low- versus high-chloride solutions for unselected critically ill or perioperative adult patients demonstrates no benefit, but suffers from considerable imprecision. We noted a limited exposure volume for study fluids and a relatively low risk of the populations in each study. Together with the relatively small pooled sample size, these data leave us underpowered to detect potentially important differences. Results from well-conducted, adequately powered randomized controlled trials examining sufficiently large fluid exposure are necessary.
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Affiliation(s)
- Leticia Kawano-Dourado
- From the Research Institute, Hospital do Coração (HCor), São Paulo, Brazil.,Pulmonary Division, Heart Institute (InCor), University of Sao Paulo Medical School, São Paulo, Brazil
| | - Fernando G Zampieri
- From the Research Institute, Hospital do Coração (HCor), São Paulo, Brazil.,Intensive Care Unit, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil
| | - Luciano C P Azevedo
- Intensive Care Unit, Hospital Sirio Libanes, São Paulo, Brazil.,Emergency Medicine Discipline, University of São Paulo Medical School, São Paulo, Brazil
| | - Thiago D Corrêa
- Intensive Care Unit, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Mabel Figueiró
- From the Research Institute, Hospital do Coração (HCor), São Paulo, Brazil
| | - Matthew W Semler
- Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - John A Kellum
- The Center for Critical Care Nephrology, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania
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10
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Rusinova K, Darmon M. Focus on improved patient management. Intensive Care Med 2018; 45:539-541. [PMID: 30560278 DOI: 10.1007/s00134-018-5488-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 11/30/2018] [Indexed: 10/27/2022]
Affiliation(s)
- Katerina Rusinova
- Department of Anesthesiology and Intensive Care Medicine, First Faculty of Medicine, Charles University, Prague, Czech Republic.
| | - Michael Darmon
- Medical ICU, Saint-Louis University Hospital, AP-HP, Paris, France.,Faculté de Médecine, Université Paris-Diderot, Sorbonne-Paris-Cité, Paris, France.,ECSTRA Team, Biostatistics and Clinical Epidemiology, UMR 1153 (Center of Epidemiology and Biostatistics Sorbonne Paris Cité, CRESS), INSERM, Paris, France
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Zampieri FG, Soares M, Borges LP, Salluh JIF, Ranzani OT. The Epimed Monitor ICU Database®: a cloud-based national registry for adult intensive care unit patients in Brazil. Rev Bras Ter Intensiva 2017; 29:418-426. [PMID: 29211187 PMCID: PMC5764553 DOI: 10.5935/0103-507x.20170062] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 06/23/2017] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE To describe the Epimed Monitor Database®, a Brazilian intensive care unit quality improvement database. METHODS We described the Epimed Monitor® Database, including its structure and core data. We presented aggregated informative data from intensive care unit admissions from 2010 to 2016 using descriptive statistics. We also described the expansion and growth of the database along with the geographical distribution of participating units in Brazil. RESULTS The core data from the database includes demographic, administrative and physiological parameters, as well as specific report forms used to gather detailed data regarding the use of intensive care unit resources, infectious episodes, adverse events and checklists for adherence to best clinical practices. As of the end of 2016, 598 adult intensive care units in 318 hospitals totaling 8,160 intensive care unit beds were participating in the database. Most units were located at private hospitals in the southeastern region of the country. The number of yearly admissions rose during this period and included a predominance of medical admissions. The proportion of admissions due to cardiovascular disease declined, while admissions due to sepsis or infections became more common. Illness severity (Simplified Acute Physiology Score - SAPS 3 - 62 points), patient age (mean = 62 years) and hospital mortality (approximately 17%) remained reasonably stable during this time period. CONCLUSION A large private database of critically ill patients is feasible and may provide relevant nationwide epidemiological data for quality improvement and benchmarking purposes among the participating intensive care units. This database is useful not only for administrative reasons but also for the improvement of daily care by facilitating the adoption of best practices and use for clinical research.
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Affiliation(s)
| | - Márcio Soares
- Instituto D'Or de Pesquisa e Ensino - Rio de Janeiro (RJ), Brasil.,Epimed Solutions - Rio de Janeiro (RJ), Brasil
| | | | - Jorge Ibrain Figueira Salluh
- Instituto D'Or de Pesquisa e Ensino - Rio de Janeiro (RJ), Brasil.,Epimed Solutions - Rio de Janeiro (RJ), Brasil
| | - Otávio Tavares Ranzani
- Unidade de Terapia Intensiva, Departamento de Emergências Clínicas, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo (SP), Brasil
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Humanization in healthcare arises from the need for a holistic approach to illness. Med Intensiva 2017; 42:99-109. [PMID: 29132912 DOI: 10.1016/j.medin.2017.08.002] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 07/25/2017] [Accepted: 08/03/2017] [Indexed: 11/21/2022]
Abstract
Suffering is not only exclusive to patients or their relatives, but also to the health professionals, who feel to be at the center of the depersonalization process. Over-technification and the fact that the disease process is sometimes the only focal point of our activities, together with the ever-increasing influence of institutional power seen in recent times, all cause the health professional to be the first in demanding a change in health institution dynamics. Following initial reflection from one of the most technified medical specialties (Intensive Care Medicine), classically isolated from the rest of the Hospital and from the community, we implemented a project aimed at securing integration and empathy in our approach to patients and their relatives in the Intensive Care Unit (ICU) of Infanta Margarita Hospital. The project was designed to incorporate tools for working on the most important elements of a humanization plan, i.e., the patients, their relatives, the health professionals and the community, attempting to disclose the work done in the ICU over a period of 12 months. This project is referred to as the Project ICU Infanta Margarita: 1 year: 12 months for 12 commitments.
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Effectiveness and Safety of an Extended ICU Visitation Model for Delirium Prevention: A Before and After Study. Crit Care Med 2017; 45:1660-1667. [PMID: 28671901 DOI: 10.1097/ccm.0000000000002588] [Citation(s) in RCA: 114] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To evaluate the effect of an extended visitation model compared with a restricted visitation model on the occurrence of delirium among ICU patients. DESIGN Prospective single-center before and after study. SETTING Thirty-one-bed medical-surgical ICU. PATIENTS All patients greater than or equal to 18 years old with expected length of stay greater than or equal to 24 hours consecutively admitted to the ICU from May 2015 to November 2015. INTERVENTIONS Change of visitation policy from a restricted visitation model (4.5 hr/d) to an extended visitation model (12 hr/d). MEASUREMENTS AND MAIN RESULTS Two hundred eighty-six patients were enrolled (141 restricted visitation model, 145 extended visitation model). The primary outcome was the cumulative incidence of delirium, assessed bid using the confusion assessment method for the ICU. Predefined secondary outcomes included duration of delirium/coma; any ICU-acquired infection; ICU-acquired bloodstream infection, pneumonia, and urinary tract infection; all-cause ICU mortality; and length of ICU stay. The median duration of visits increased from 133 minutes (interquartile range, 97.7-162.0) in restricted visitation model to 245 minutes (interquartile range, 175.0-272.0) in extended visitation model (p < 0.001). Fourteen patients (9.6%) developed delirium in extended visitation model compared with 29 (20.5%) in restricted visitation model (adjusted relative risk, 0.50; 95% CI, 0.26-0.95). In comparison with restricted visitation model patients, extended visitation model patients had shorter length of delirium/coma (1.5 d [interquartile range, 1.0-3.0] vs 3.0 d [interquartile range, 2.5-5.0]; p = 0.03) and ICU stay (3.0 d [interquartile range, 2.0-4.0] vs 4.0 d [interquartile range, 2.0-6.0]; p = 0.04). The rate of ICU-acquired infections and all-cause ICU mortality did not differ significantly between the two study groups. CONCLUSIONS In this medical-surgical ICU, an extended visitation model was associated with reduced occurrence of delirium and shorter length of delirium/coma and ICU stay.
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Azoulay E, Schellongowski P, Darmon M, Bauer PR, Benoit D, Depuydt P, Divatia JV, Lemiale V, van Vliet M, Meert AP, Mokart D, Pastores SM, Perner A, Pène F, Pickkers P, Puxty KA, Vincent F, Salluh J, Soubani AO, Antonelli M, Staudinger T, von Bergwelt-Baildon M, Soares M. The Intensive Care Medicine research agenda on critically ill oncology and hematology patients. Intensive Care Med 2017; 43:1366-1382. [PMID: 28725926 DOI: 10.1007/s00134-017-4884-z] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 07/08/2017] [Indexed: 12/13/2022]
Abstract
Over the coming years, accelerating progress against cancer will be associated with an increased number of patients who require life-sustaining therapies for infectious or toxic chemotherapy-related events. Major changes include increased number of cancer patients admitted to the ICU with full-code status or for time-limited trials, increased survival and quality of life in ICU survivors, changing prognostic factors, early ICU admission for optimal monitoring, and use of noninvasive diagnostic and therapeutic strategies. In this review, experts in the management of critically ill cancer patients highlight recent changes in the use and the results of intensive care in patients with malignancies. They seek to put forward a standard of care for the management of these patients and highlight important updates that are required to care for them. The research agenda they suggest includes important studies to be conducted in the next few years to increase our understanding of organ dysfunction in this population and to improve our ability to appropriately use life-saving therapies or select new therapeutic approaches that are likely to improve outcomes. This review aims to provide more guidance for the daily management of patients with cancer, in whom outcomes are constantly improving, as is our global ability to fight against what is becoming the leading cause of mortality in industrialized and non-industrialized countries.
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Affiliation(s)
- Elie Azoulay
- ECSTRA Team, and Clinical Epidemiology, UMR 1153 (Center of Epidemiology and Biostatistics, Sorbonne Paris Cité, CRESS), INSERM, Paris Diderot Sorbonne University, Paris, France. .,Medical Intensive Care Unit, Hôpital Saint-Louis, Paris, France.
| | | | - Michael Darmon
- Saint-Etienne University Hospital, Saint-Etienne, France
| | | | | | | | | | | | | | | | | | | | | | | | - Peter Pickkers
- Radboud University Medical Center, Nijmegen, The Netherlands
| | | | | | - Jorge Salluh
- Instituto de Ensino e Perquisa da Santa Casa de Belo Horizonte, Rio de Janeiro, Brazil
| | | | | | | | | | - Marcio Soares
- Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil
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Darmon M, Ranzani OT, Azoulay E. Focus on immunocompromised patients. Intensive Care Med 2017; 43:1415-1417. [PMID: 28597035 DOI: 10.1007/s00134-017-4857-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2017] [Accepted: 05/29/2017] [Indexed: 11/28/2022]
Affiliation(s)
- Michael Darmon
- Medical-Surgical Intensive Care Unit, Hopital Nord, CHU Saint-Etienne, University Hospital, Avenue Albert Raimond, Saint-Priest-en-Jarez, EA3065, 42270, Saint-Etienne, France. .,Jacques Lisfranc Medical School, Jean Monnet University, Saint-Etienne, France.
| | - Otavio T Ranzani
- Pulmonary Division, Heart Institute, Hospital das Clínicas, University of São Paulo, São Paulo, Brazil.,Department of Pulmonology, Hospital Clinic of Barcelona, IDIBAPS, CIBERES, Barcelona, Spain
| | - Elie Azoulay
- Medical ICU, Saint-Louis University Hospital, AP-HP, Paris, France.,Faculté de Médecine, Université Paris-Diderot, Sorbonne-Paris-Cité, Paris, France.,ECSTRA Team, Biostatistics and Clinical Epidemiology, UMR 1153 (Center of Epidemiology and Biostatistic Sorbonne Paris Cité, CRESS), INSERM, Paris, France
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