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Characteristics of intensive care unit registries - findings from the Global Registry ICU Datasets (GRID) survey

  • Luigi Pisani*
  • , Paola Di Lecce
  • , Cornelius Sendagire
  • , Vrindha Pari
  • , Carlo Olivieri
  • , Rabiul Alam Md Erfam Uddin
  • , Diptesh Aryal
  • , Priyantha Athapattu
  • , Sean Bagshaw
  • , Gaston Burghi
  • , Eirik Alnes Buanes
  • , Steffen Christensen
  • , Rory Dwyer
  • , Ariel Leonardo Fernández
  • , Stefano Finazzi
  • , Bertrand Guidet
  • , Eva Hanciles
  • , Madiha Hashmi
  • , Satoru Hashimoto
  • , Nao Ichihara
  • Nazir I Lone, Maria Del Pilar Arias López, Yen L Minh, Andreas Perren, Koukeo Phommasone, David Pilcher, Matti Reinikainen, Wangari Waweru-Siika, Moses Siaw-Frimpong, Martin I Sigurdsson, Maryam Shamal, Menbeu Sultan, Jose Emmanuel M Palo, David Thomson, Bharath Kumar Tirupakuzhi Vijayaraghavan, Abigail Beane, Rashan Haniffa, Dave A Dongelmans, Miklos Lipcsey, Jorge Ibrain Figueira Salluh
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: Intensive care unit registries, which aim to improve the quality of intensive care unit care through benchmarking and quality improvement initiatives, are active worldwide, with considerable dishomogeneity. We aimed to map core datasets, additional variables, and research activities of these registries.

METHODS: A cross-sectional survey was disseminated to registry leads between October 2023 and June 2024. The survey was structured into four main topics: registry characteristics and coverage, core dataset features, additional modules, and registry-enabled research.

RESULTS: Leads of 34/42 national registries responded (response rate 81%), covering 3,337 intensive care units, with a larger representation from South America. Systematized nomenclature of medicine, clinical terms, and customized categorical classifications were the main nomenclatures used. All registries except one employed a severity of illness score/risk prediction model. The SOFA score was reported by 88% of registries. Organ support measures were often recorded, including mechanical ventilation (97%), vasopressor administration (86%) and renal replacement therapy (86%). Three out of four intensive care unit registries coded interventions such as intubations, intravenous lines and tracheostomies. Additional datasets differed, with many use cases for nosocomial infection burden, bed availability and staffing resources. Over half of intensive care unit registries had current structured quality improvement initiatives. Registry-enabled observational research was reported in 46% of registries, while interventional studies were reported in only 22%.

CONCLUSION: Over three thousand intensive care units in 35 countries participate in an intensive care unit registry. Despite heterogeneity in coding systems, risk models, and additional datasets, we identify several areas of convergence that may inform a future shared core dataset. There is potential for further intensive care unit registry-based research, particularly interventional.

Original languageEnglish
Article numbere20260168
Number of pages11
JournalCritical Care Science
Volume38
Early online date18 Dec 2025
DOIs
Publication statusPublished - 30 Jan 2026

Keywords / Materials (for Non-textual outputs)

  • Registries/statistics & numerical data
  • Intensive Care Units/statistics & numerical data
  • Humans
  • Cross-Sectional Studies
  • Quality Improvement
  • Surveys and Questionnaires
  • Critical Care

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