International Comparisons of ICU Performance: A Proposed Approach to Severity Scoring Systems

22 02 2023

International Comparisons of ICU Performance: A Proposed Approach to Severity Scoring Systems

Amanda Quintairos, Rashan Haniffa, Dave Dongelmans, Jorge I F Salluh; LOGIC (Linking of Global Intensive Care)

No abstract available

Conflict of interest statement

Dr. Salluh is a shareholder of Epimed Solutions. Dr. Haniffa was a founding collaborator of the Global Open Source Severity of Illness Score initiative. Dr. Haniffa disclosed that he is the founding collaborator of Linking of Global Intensive Care, director of Crit Care Asia Network Registry, trustee of Network for Improving Critical Care Systems and Training, and co-lead of Critical Care Asia and Africa; received support for article research from the Wellcome Trust/Charity Open Access Fund. The remaining authors have disclosed that they do not have any potential conflicts of interest.

References

1. 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
1. Pisani L, Algera AG, Neto AS, et al.; ERICC study investigators; LUNG SAFE study investigators; PRoVENT study investigators; PRoVENT-iMiC study investigators: Geoeconomic variations in epidemiology, ventilation management, and outcomes in invasively ventilated intensive care unit patients without acute respiratory distress syndrome: A pooled analysis of four observational studies. Lancet Glob Health 2022; 10:e227–e235
1. Moralez GM, Rabello LSCF, Lisboa TC, et al.; ORCHESTRA Study Investigators: External validation of SAPS 3 and MPM0-III scores in 48,816 patients from 72 Brazilian ICUs. Ann Intensive Care 2017; 7:53
1. Haniffa R, Mukaka M, Munasinghe SB, et al.: Simplified prognostic model for critically ill patients in resource limited settings in South Asia. Crit Care 2017; 21:250
1. Tirupakuzhi Vijayaraghavan BK, Priyadarshini D, Rashan A, et al.; Indian Registry of IntenSive care(IRIS) collaborators: Validation of a simplified risk prediction model using a cloud based critical care registry in a lower-middle income country. PLoS One 2020; 15:e0244989

https://pubmed.ncbi.nlm.nih.gov/36227050/

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22 02 2023