key: cord-0718586-pk2d2jre authors: Fleuren, Lucas M.; de Bruin, Daan P.; Tonutti, Michele; Lalisang, Robbert C. A.; Elbers, Paul W. G. title: Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse date: 2021-02-17 journal: Intensive Care Med DOI: 10.1007/s00134-021-06361-x sha: 4d0a58938f17cdd0f8f7424eda7336fa64588378 doc_id: 718586 cord_uid: pk2d2jre nan professionals and mapped to a common ontology. A software data pipeline converted units, filtered data entry errors, and calculated derived clinical parameters. Data validation was a continuous process including hospital data verification and visual inspection of distribution plots. Detailed patient characteristics and technical information on the DDW are available in the online supplementary material (OSM). So far, 1633 patients treated between March and October 2020 have been processed and added to the DDW, now containing over 120 million data points mapped to a common ontology of 875 parameter names. Median age was 65 years (IQR 56-72) and 27.8% of patients were female. Mortality in the ICU was 25.4% overall, and 29.7% for mechanically ventilated patients. Hospital mortality was 33.1% and 36% for mechanically ventilated patients (available for 14/23 hospitals). Diabetes (22.9%), chronic obstructive pulmonary disease (COPD, 97%), and any immunodeficiency (9%) were the most common comorbidities. 78% of patients were intubated during their ICU stay, with 76.4% of these patients intubated within 10 hours after ICU admission. Patients were mechanically ventilated for a median of 12.4 days (IQR 6.4-22.6 days), with a reintubation rate of 13.4% among extubated patients. About half (53.9%) of patients were proned at least once and 72% of patients were proned within 48 h. The readmission rate was 4.7%. Preliminary analyses of respiratory characteristics in the first 24 h of invasive mechanical ventilation show a median P/F ratio of 164 mmHg (IQR 133-205). Repiratory system compliance after intubation was low 36 ml/cmH 2 O (IQR 29-45) with 30.8% of patients showing further drops by day 7. Initial positive end expiratory pressure (PEEP) was 14 cmH 2 O (IQR 10-15) and tidal volumes were 6.6 ml/kg (IQR 6.2-7.1). Thus, the general clinical picture and treatment is reminiscent of classic acute respiratory distress syndrome (ARDS). The DDW is among the largest highly granular COVID-19 EHR datasets with full admission data to date. Coverage of entire ICU admissions can enable analyses known from general large ICU data sets such as MIMIC [4] and AmsterdamUMCdb [5] . In addition, the DDW paves the way for nationwide large-scale ICU data sharing beyond COVID-19. Importantly, given the ongoing pandemic, the intensive care and data science community are encouraged to utilize these data to optimize clinical care. Therefore, the DDW is available for global collaboration through https ://www.icuda ta.nl. The online version contains supplementary material available at https ://doi. org/10.1007/s0013 4-021-06361 -x. Access to intensive care in 14 European countries: a spatial analysis of intensive care need and capacity in the light of COVID-19 Pathophysiology, transmission, diagnosis, and treatment of coronavirus disease 2019 (COVID-19): a review Apples and oranges: international comparisons of COVID-19 observational studies in ICUs Amsterdam Medical Data Science. https :// amste rdamm edica ldata scien ce MIMIC-IV' (version 0.4) Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.