National ICU Registries as Enablers of Clinical Research and Quality Improvement.
Journal
Critical care medicine
ISSN: 1530-0293
Titre abrégé: Crit Care Med
Pays: United States
ID NLM: 0355501
Informations de publication
Date de publication:
01 Jan 2024
01 Jan 2024
Historique:
pubmed:
12
9
2023
medline:
12
9
2023
entrez:
12
9
2023
Statut:
ppublish
Résumé
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. English language articles were identified in PubMed using phrases related to ICU registries, CQRs, outcomes, and case-mix. Original research, review articles, letters, and commentaries, were considered. Data from relevant literature were identified, reviewed, and integrated into a concise narrative review. 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. 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.
Identifiants
pubmed: 37698452
doi: 10.1097/CCM.0000000000006050
pii: 00003246-990000000-00206
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
125-135Informations de copyright
Copyright © 2023 by the Society of Critical Care Medicine and Wolters Kluwer Health, Inc. All Rights Reserved.
Déclaration de conflit d'intérêts
Dr. Beane received support for article research from Wellcome Trust/Charity Open Access Fund (COAF). Drs. Pilcher and Litton are members of the Australian and New Zealand Intensive Care Society Centre for Outcome and Resources Evaluation management committee. Drs Salluh is co-founder and shareholder of Epimed Solutions, a healthcare cloud-based analytics company. He is also supported, in part, by individual research grants from the National Council for Scientific and Technological Development and Research Support Foundation of the State of Rio de Janeiro. Dr. Dongelmans is unpaid chair of National Intensive Care Evaluation Foundation. Dr. Ichihara’s primary affiliation is the Department of Healthcare Quality Assessment, which is a social collaboration department at the University of Tokyo supported by National Clinical Database, Johnson & Johnson K.K., and Nipro Corporation. Dr. Vijayaraghavan is the National Coordinator for the Indian Registry of IntenSive Care and is supported for 0.5 full-time equivalent hours by funding from the Wellcome Trust, U.K. Dr. Bagshaw received funding from Baxter and BioPorto. Dr. Hashimoto’s institution received funding from the Japanese Ministry of Health, Labour and Welfare for the Japanese Intensive care PAtient Database (JIPAD), the Japanese Society of Intensive Care Medicine, and JMS. Dr. Haniffa’s institution received funding from Wellcome Trust/COAF and UK Research and Innovation (UKRI); he disclosed that he is an honorary director of National Intensive Care Surveillance MORU. Dr. Pisani received funding from Wellcome Trust and The African Critical Care registry network funded by this UKRI MRC (grant MR/V030884/1). The remaining authors have disclosed that they do not have any potential conflicts of interest.
Références
Bhatt DL, Drozda JP Jr, Shahian DM, et al.: ACC/AHA/STS statement on the future of registries and the performance measurement enterprise: A report of the American College of Cardiology/American Heart Association Task Force on Performance Measures and The Society of Thoracic Surgeons. J Am Coll Cardiol. 2015; 66:2230–2245
Gliklich RE, Dreyer NA, Leavy MB (Eds): Registries for Evaluating Patient Outcomes: A User’s Guide [Internet]. Third Edition. Rockville, MD, Agency for Healthcare Research and Quality (US), 2014. Report No.: 13(14)-EHC111
What is a Cancer Registry?: Available at: https://seer.cancer.gov/registries/cancer_registry/index.html . Accessed November 20, 2022
European Platform on rare disease registration: Available at: https://eu-rd-platform.jrc.ec.europa.eu/_en . Accessed November 11, 2022
The cystic fibrosis patient registry: Available at: https://www.cff.org/medical-professionals/patient-registry . Accessed November 10, 2022
Kölker S, Gleich F, Mütze U, et al.: Rare disease registries are key to evidence-Based personalized medicine: Highlighting the European experience. Front Endocrinol (Lausanne). 2022; 13:832063
Brindis RG, Fitzgerald S, Anderson HV, et al.: The American College of Cardiology-National Cardiovascular Data Registry (ACC-NCDR): Building a national clinical data repository. J Am Coll Cardiol. 2001; 37:2240–2245
Faxon DP, Burgess A: Cardiovascular registries: Too much of good thing? Circ Cardiovasc Interv. 2016; 9:e003866
National Program of Cancer Registries (NPCR): Available at: https://www.cdc.gov/cancer/npcr/index.htm . Accessed November 10, 2022
Moore L, Clark DE: The value of trauma registries. Injury. 2008; 39:686–695
Dewan MC, Rattani A, Gupta S, et al.: Estimating the global incidence of traumatic brain injury. J Neurosurg. 2018; 130:1080–1097
Rowan KM, Kerr JH, Major E, et al.: Intensive care society’s APACHE II study in Britain and Ireland–I: Variations in case mix of adult admissions to general intensive care units and impact on outcome. BMJ. 1993; 307:972–977
Rowan KM, Kerr JH, Major E, et al.: Intensive Care Society’s Acute Physiology and Chronic Health Evaluation (APACHE II) study in Britain and Ireland: A prospective, multicenter, cohort study comparing two methods for predicting outcome for adult intensive care patients. Crit Care Med. 1994; 22:1392–1401
Stow PJ, Hart GK, Higlett T, et al.; ANZICS Database Management Committee: Development and implementation of a high-quality clinical database: The Australian and New Zealand Intensive Care Society adult patient database. J Crit Care. 2006; 21:133–141
Bosman RJ, de Jonge E, de Keizer NF, et al.: Intensivecaregeneeskunde in Nederland, 1997-2001. II. Verandering in de tijd en verschillen tussen ziekenhuizen [Intensive care medicine in the Netherlands, 1997-2001. II. Changes over time and differences between hospitals]. [Dutch]. Ned Tijdschr Geneeskd. 2003; 147:1018–1024
Litton E, Guidet B, de Lange D: National registries: Lessons learnt from quality improvement initiatives in intensive care. J Crit Care. 2020; 60:311–318
Beane A, Salluh JIF, Haniffa R: What intensive care registries can teach us about outcomes. Curr Opin Crit Care. 2021; 27:537–543
Salluh JI, Soares M: ICU severity of illness scores: APACHE, SAPS and MPM. Curr Opin Crit Care. 2014; 20:557–565
Zampieri FG, Soares M, Borges LP, et al.: 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
CRIT CARE ASIA: Establishing a critical care network in Asia to improve care for critically ill patients in low and middle-income countries. Crit Care. 2020; 24:608
Pisani L, Waweru-Siika W, Sendagire C, et al.: Critically ill COVID-19 patients in Africa: It is time for quality registry data. Lancet. 2021; 398:485–486
Sjöberg F, Walther S: Intensive care registries and the evolution of the concept ‘f ‘quality of c’r–‘ – reflections from the 10-year anniversary symposium of the Swedish Intensive Care Registry. Acta Anaesthesiol Scand. 2012; 56:1073–1077
Lambourg E, Walker H, Campbell J, et al.; Scottish Renal Registry: Incidence and outcomes of patients receiving chronic kidney replacement therapy admitted to Scottish ICUs between 2009 and 2019-A National Observational Cohort Study. Crit Care Med. 2023; 51:69–79
Huson MA, Bakhshi-Raiez F, Grobusch MP, et al.: Characteristics and outcome of patients with AIDS in Dutch ICUs between 1997 and 2014. Crit Care Med. 2016; 44:291–299
Van Vught LA, Holman R, de Jonge E, et al.: Diabetes is not associated with increased 90-day mortality risk in critically ill patients with sepsis. Crit Care Med. 2017; 45:e1026–e1035
Van der Zee EN, Termorshuizen F, Benoit DD, et al.: One-year mortality of cancer patients with an unplanned ICU admission: A cohort analysis between 2008 and 2017 in the Netherlands. J Intensive Care Med. 2022; 37:1165–1173
Dres M, Tran TC, Aegerter P, et al.; CUB-REA Group: Influence of ICU case-volume on the management and hospital outcomes of acute exacerbations of chronic obstructive pulmonary disease*. Crit Care Med. 2013; 41:1884–1892
Karakus A, Haas LEM, Brinkman S, et al.: Trends in short-term and 1-year mortality in very elderly intensive care patients in the Netherlands: A retrospective study from 2008 to 2014. Intensive Care Med. 2017; 43:1476–1484
Zampieri FG, Iwashyna TJ, Viglianti EM, et al.; ORCHESTRA Study Investigators: Association of frailty with short-term outcomes, organ support and resource use in critically ill patients. Intensive Care Med. 2018; 44:1512–1520
Darvall JN, Bellomo R, Paul E, et al.: Routine frailty screening in critical illness: A population-based cohort study in Australia and New Zealand. Chest. 2021; 160:1292–1303
Darvall JN, Bellomo R, Bailey M, et al.: Impact of frailty on persistent critical illness: A population-based cohort study. Intensive Care Med. 2022; 48:343–351
Soares M, Silva UV, Homena WS Jr, et al.; ORCHESTRA (ORganizational CHaractEeriSTics in cRitcal cAre) Study Investigators: Family care, visiting policies, ICU performance, and efficiency in resource use: Insights from the ORCHESTRA study. Intensive Care Med. 2017; 43:590–591
Zampieri FG, Salluh JIF, Azevedo LCP, et al.; ORCHESTRA Study Investigators: ICU staffing feature phenotypes and their relationship with patie’ts’ outcomes: An unsupervised machine learning analysis. Intensive Care Med. 2019; 45:1599–1607
Soares M, Bozza FA, Angus DC, et al.: Organizational characteristics, outcomes, and resource use in 78 Brazilian intensive care units: The ORCHESTRA study. Intensive Care Med. 2015; 41:2149–2160
Sahle BW, Pilcher D, Peter K, et al.: Trends and risk factors for omission of early thromboprophylaxis in Australian and New Zealand ICUs between 2009 and 2020. Intensive Care Med. 2022; 48:590–598
Roos-Blom MJ, Gude WT, de Jonge E, et al.: Impact of audit and feedback with action implementation toolbox on improving ICU pain management: Cluster-randomised controlled trial. BMJ Qual Saf. 2019; 28:1007–1015
Dres M, Austin PC, Pham T, et al.; CUB-REA Group: Acute respiratory distress syndrome cases volume and ICU mortality in medical patients. Crit Care Med. 2018; 46:e33–e40
Claessens YE, Aegerter P, Boubaker H, et al.; Cub-Rea Network: Are clinical trials dealing with severe infection fitting routine practices? Insights from a large registry. Crit Care. 2013; 17:R89
Kaukonen KM, Bailey M, Suzuki S, et al.: Mortality related to severe sepsis and septic shock among critically ill patients in Australia and New Zealand, 2000-2012. JAMA. 2014; 311:1308–1316
Ranzani OT, Shankar-Hari M, Harrison DA, et al.: A comparison of mortality from sepsis in Brazil and England: The impact of heterogeneity in general and sepsis-specific patient characteristics. Crit Care Med. 2019; 47:76–84
Van Zanten AR, Brinkman S, Arbous MS, et al.; Netherlands Patient Safety Agency Sepsis Expert Group: Guideline bundles adherence and mortality in severe sepsis and septic shock. Crit Care Med. 2014; 42:1890–1898
Zuber B, Tran TC, Aegerter P, et al.; CUB-Réa Network: Impact of case volume on survival of septic shock in patients with malignancies. Crit Care Med. 2012; 40:55–62
Sahle BW, Pilcher D, Litton E, et al.: Association between frailty, delirium, and mortality in older critically ill patients: A binational registry study. Ann Intensive Care. 2022; 12:108
Shaw M, Viglianti EM, McPeake J, et al.: Timing of onset, burden, and postdischarge mortality of persistent critical illness in Scotland, 2005-2014: A retrospective, population-based, observational study. Crit Care Explor. 2020; 2:e0102
Dongelmans DA, Pilcher D, Beane A, et al.: Linking of Global Intensive Care (LOGIC): An international benchmarking in critical care initiative. J Crit Care. 2020; 60:305–310
Vallet H, Schwarz GL, Flaatten H, et al.: Mortality of older patients admitted to an ICU: A systematic review. Crit Care Med. 2021; 49:324–334
Fried LP, Tangen CM, Walston J, et al.; Cardiovascular Health Study Collaborative Research Group: Frailty in older adults: Evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001; 56:M146–M156
Flaatten H, de Lange DW, Artigas A, et al.: The status of intensive care medicine research and a future agenda for very old patients in the ICU. Intensive Care Med. 2017; 43:1319–1328
Makary MA, Segev DL, Pronovost PJ, et al.: Frailty as a predictor of surgical outcomes in older patients. J Am Coll Surg. 2010; 210:901–908
Quintairos A, Pilcher D, Salluh JIF: ICU scoring systems. Intensive Care Med. 2022; 49:223–225
Salluh JIF, Chiche JD, Reis CE, et al.: New perspectives to improve critical care benchmarking. Ann Intensive Care. 2018; 8:17
Haniffa R, Isaam I, De Silva AP, et al.: Performance of critical care prognostic scoring systems in low and middle-income countries: A systematic review. Crit Care. 2018; 22:18
Herridge MS: Prognostication and intensive care unit outcome: The evolving role of scoring systems. Clin Chest Med. 2003; 24:751–762
Pari V; Collaboration for Research Implementation, Training in Critical Care, Asia Africa ‘CCAA’: Development of a quality indicator set to measure and improve quality of ICU care in low- and middle-income countries. Intensive Care Med. 2022; 48:1551–1562
Brinkman S, de Jonge E, Abu-Hanna A, et al.: Mortality after hospital discharge in ICU patients. Crit Care Med. 2013; 41:1229–1236
Haas LEM, Bakhshi-Raiez F, van Dijk D, et al.: Outcomes of intensive care patients older than 90 years: An 11-year national observational study. J Am Geriatr Soc. 2020; 68:1842–1846
Mandigers L, Termorshuizen F, de Keizer NF, et al.: A nationwide overview of 1-year mortality in cardiac arrest patients admitted to intensive care units in the Netherlands between 2010 and 2016. Resuscitation. 2020; 147:88–94
Lone NI, Gillies MA, Haddow C, et al.: Five-year mortality and hospital costs associated with surviving intensive care. Am J Respir Crit Care Med. 2016; 194:198–208
Lange DW, Dongelmans DA, Keizer NF: Small steps beyond benchmarking. Rev Bras Ter Intensiva. 2017; 29:128–130
Gude WT, Roos-Blom MJ, van der Veer SN, et al.: Facilitating action planning within audit and feedback interventions: A mixed-methods process evaluation of an action implementation toolbox in intensive care. Implement Sci. 2019; 14:90
Tirupakuzhi Vijayaraghavan BK, Gupta E, Ramakrishnan N, et al.: Barriers and facilitators to the conduct of critical care research in low and lower-middle income countries: A scoping review. PLoS One. 2022; 17:e0266836
Bassi A, Arfin S, Joshi R, et al.: Challenges in operationalizing clinical trials in India during the COVID-19 pandemic. Lancet Glob Health. 2022; 10:e317–e319
Litton E, Bucci T, Chavan S, et al.: Surge capacity of intensive care units in case of acute increase in demand caused by COVID-19 in Australia. Med J Aust. 2020; 212:463–467
Mathes T, Pieper D: Study design classification of registry-based studies in systematic reviews. J Clin Epidemiol. 2018; 93:84–87
Frieden TR: Evidence for health decision making – Beyond randomized, controlled trials. N Engl J Med. 2017; 377:465–475
Lone NI, Lee R, Walsh TS: Long-term mortality and hospital resource use in ICU patients with alcohol-related liver disease. Crit Care Med. 2019; 47:23–32
Knapik P, Knapik M, Trejnowska E, et al.: Should we admit more patients not requiring invasive ventilation to reduce excess mortality in polish intensive care units? Data from the Silesian ICU registry. Arch Med Sci. 2019; 15:1313–1320
Damiani LP, Cavalcanti AB, Moreira FR, et al.: A cluster-randomised trial of a multifaceted quality improvement intervention in Brazilian intensive care units (Checklist-ICU trial): Statistical analysis plan. Crit Care Resusc. 2015; 17:113–121
Bohula EA, Katz JN, van Diepen S, et al.; Critical Care Cardiology Trials Network: Demographics, care patterns, and outcomes of patients admitted to cardiac intensive care units: The critical care cardiology trials network prospective North American multicenter registry of cardiac critical illness. JAMA Cardiol. 2019; 4:928–935
Bailleul C, Puymirat E, Aegerter P, et al.: In-hospital cardiac arrests admitted alive in intensive care units: Insights from the CubRéa database. J Crit Care. 2022; 69:154003
Barbier F, Roux A, Canet E, et al.: Temporal trends in critical events complicating HIV infection: 1999-2010 multicentre cohort study in France. Intensive Care Med. 2014; 40:1906–1915
Hicks P, Huckson S, Fenney E, et al.: The financial cost of intensive care in Australia: A multicentre registry study. Med J Aust. 2019; 211:324–325
Guidet B, Ghout I, Ropers J, et al.: Economic model of albumin infusion in septic shock: The EMAISS study. Acta Anaesthesiol Scand. 2020; 64:781–788
Garcia-Gallo E, Merson L, Kennon K, et al.; ISARIC Clinical Characterization Group: ISARIC-COVID-19 dataset: A prospective, standardized, global dataset of patients hospitalized with COVID-19. Sci Data. 2022; 9:454
Young PJ, Bagshaw SM, Forbes AB, et al.; PEPTIC Investigators for the Australian and New Zealand Intensive Care Society Clinical Trials Group, Alberta Health Services Critical Care Strategic Clinical Network, and the Irish Critical Care Trials Group: Effect of stress ulcer prophylaxis with proton pump inhibitors vs histamine-2 receptor blockers on in-hospital mortality among ICU patients receiving invasive mechanical ventilation: The PEPTIC randomized clinical trial. JAMA. 2020; 323:616–626
Arnup SJ, McKenzie JE, Hemming K, et al.: Understanding the cluster andomized crossover design: A graphical illustration of the components of variation and a sample size tutorial. Trials. 2017; 18:381
Hashmi M, Beane A, Murthy S, et al.; CRIT Care Asia: Leveraging a cloud-based critical care registry for COVID-19 pandemic surveillance and research in low- and middle-income countries. JMIR Public Health Surveill. 2020; 6:e21939
Aryal D, Beane A, Dondorp AM, et al.: Operationalisation of the randomized embedded multifactorial adaptive platform for COVID-19 trials in a low and lower-middle income critical care learning health system. Wellcome Open Res. 2021; 6:14
Lagerqvist B, Fröbert O, Olivecrona GK, et al.: Outcomes 1 year after thrombus aspiration for myocardial infarction. N Engl J Med. 2014; 371:1111–1120
Hess CN, Rao SV, Kong DF, et al.: Embedding a randomized clinical trial into an ongoing registry infrastructure: Unique opportunities for efficiency in design of the Study of Access site For Enhancement of Percutaneous Coronary Intervention for Women (SAFE-PCI for Women). Am Heart J. 2013; 166:421–428
Li G, Sajobi TT, Menon BK, et al.; 2016 Symposium on Registry-Based Randomized Controlled Trials in Calgary: Registry-based randomized controlled trials- what are the advantages, challenges, and areas for future research? J Clin Epidemiol. 2016; 80:16–24
Kennedy-Martin T, Curtis S, Faries D, et al.: A literature review on the representativeness of randomized controlled trial samples and implications for the external validity of trial results. Trials. 2015; 16:495
Garbero E, Livigni S, Ferrari F, et al.; GiViTI: High dose coupled plasma filtration and adsorption in septic shock patients. Results of the COMPACT-2: A multicentre, adaptive, andomized clinical trial. Intensive Care Med. 2021; 47:1303–1311
Fröbert O, Lagerqvist B, Olivecrona GK, et al.; TASTE Trial: Thrombus aspiration during ST-segment elevation myocardial infarction. N Engl J Med. 2013; 369:1587–1597
Harvey SE, Parrott F, Harrison DA, et al.; CALORIES Trial Investigators: Trial of the route of early nutritional support in critically ill adults. N Engl J Med. 2014; 371:1673–1684
Lamontagne F, Richards-Belle A, Thomas K, et al.; 65 trial investigators: Effect of reduced exposure to vasopressors on 90-day mortality in older critically ill patients with vasodilatory hypotension: A randomized clinical trial. JAMA. 2020; 323:938–949
Livigni S, Bertolini G, Rossi C, et al.; GiViTI: Gruppo Italiano per la Valutazione degli Interventi in Terapia Intensiva (Italian Group for the Evaluation of Interventions in Intensive Care Medicine) is an independent collaboration network of Italian Intensive Care units: Efficacy of coupled plasma filtration adsorption (CPFA) in patients with septic shock: A multicenter randomized controlled clinical trial. BMJ Open. 2014; 4:e003536
Young P, Bailey M, Beasley R, et al.; SPLIT Investigators: Effect of a buffered crystalloid solution vs saline on acute kidney injury among patients in the intensive care unit: The SPLIT randomized clinical trial. JAMA. 2015; 314:1701–1710
Nielsen N, Wetterslev J, Cronberg T, et al.; TTM Trial Investigators: Targeted temperature management at 33°C versus 36°C after cardiac arrest. N Engl J Med. 2013; 369:2197–2206
Nolan JP, Orzechowska I, Harrison DA, et al.: Changes in temperature management and outcome after out-of-hospital cardiac arrest in United Kingdom intensive care units following publication of the targeted temperature management trial. Resuscitation. 2021; 162:304–311
Salter R, Bailey M, Bellomo R, et al.; Australian and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation (ANZICS-CORE): Changes in temperature management of cardiac arrest patients following publication of the target temperature management trial. Crit Care Med. 2018; 46:1722–1730
Burrell AJC, Serpa Neto A, Trapani T, et al.; SPRINT-SARI Australia Investigators: Rapid translation of COVID-19 preprint data into critical care practice. Am J Respir Crit Care Med. 2021; 203:368–371
Niven DJ, Rubenfeld GD, Kramer AA, et al.: Effect of published scientific evidence on glycemic control in adult intensive care units. JAMA Intern Med. 2015; 175:801–809
Kluyts HL, Biccard BM: The role of peri-operative registries in improving the quality of care in low-resource environments. Anaesthesia. 2021; 76:888–891
Pisani L, Rashan T, Shamal M, et al.; Collaboration for Research, Implementation and Training in Critical Care - Asia Investigators: Performance evaluation of a multinational data platform for critical care in Asia. Wellcome Open Res. 2022; 6:251
Black N: High-quality clinical databases: Breaking down barriers. Lancet. 1999; 353:1205–1206
Black N, Payne M: Directory of clinical databases: Improving and promoting their use. Qual Saf Health Care. 2003; 12:348–352
Holcombe A: Farewell authors, hello contributors. Nature. 2019; 571:147
Wilkinson MD, Dumontier M, Aalbersberg IJ, et al.: The FAIR guiding principles for scientific data management and stewardship. Sci Data. 2016; 3:160018
Young PJ, Bagshaw SM, Forbes AB, et al.: Opportunities and challenges of clustering, crossing over, and using registry data in the PEPTIC trial. Crit Care Resusc. 2020; 22:105–109
Loftus TJ, Ruppert MM, Shickel B, et al.: Federated learning for preserving data privacy in collaborative healthcare research. Digit Health. 2022; 8:20552076221134455
Wall D, Alhusayen R, Arents B, et al.: Learning from disease registries during a pandemic: Moving toward an international federation of patient registries. Clin Dermatol. 2021; 39:467–478
Crowson MG, Moukheiber D, Arévalo AR, et al.: A systematic review of federated learning applications for biomedical data. PLOS Digit Health. 2022; 1:e0000033
Pari V, Beane A, Salluh JIF, et al.: Development of a core outcome set for general intensive care unit patients-Need for a broader context? Acta Anaesthesiol Scand. 2022; 66:539–540
Quintairos A, Haniffa R, Dongelmans D, et al.; LOGIC (Linking of Global Intensive Care): International comparisons of ICU performance: A proposed approach to severity scoring systems. Crit Care Med. 2022; 50:e799–e800
Raffa JD, Johnson AEW, O’Brien Z, et al.: The Global Open Source Severity of Illness Score (GOSSIS). Crit Care Med. 2022; 50:1040–1050
Peres IT, Hamacher S, Cyrino Oliveira FL, et al.: Data-driven methodology to predict the ICU length of stay: A multicentre study of 99,492 admissions in 109 Brazilian units. Anaesth Crit Care Pain Med. 2022; 41:101142
Kurtz P, Peres IT, Soares M, et al.: Hospital length of stay and 30-day mortality prediction in stroke: A machine learning analysis of 17,000 ICU admissions in Brazil. Neurocrit Care. 2022; 37(Suppl 2):313–321
Bastos LSL, Wortel SA, de Keizer NF, et al.: Comparing continuous versus categorical measures to assess and benchmark intensive care unit performance. J Crit Care. 2022; 70:154063
Luna D, Almerares A, Mayan JC 3rd, et al.: Health informatics in developing countries: Going beyond pilot practices to sustainable implementations: A review of the current challenges. Healthc Inform Res. 2014; 20:3–10