Data Descriptor, Reference Coding And Characterization Of The Systemic Complications Of Critical Care Patients Included In The Isaric Covid-19 Dataset: One Of The Largest, Freely Accessible Covid-19 Datasets

COVID-19 pandemic has affected more than 80 million people around the globe. The epidemic has evolved at different speeds and times worldwide. Thus, describing the patients and the treatments used in countries where the epidemic began (e.g., China, Italy, UK) have helped other countries to prepare before COVID-19 arrival at their own countries. Thus, observational registries and the evidence they generate are of vital importance for decision-makers, patients, and physicians around the world. As with other pulmonary infections, patients with COVID-19 may develop systemic complications (e.g., heart failure, pulmonary embolisms, among others), which can worsen clinical outcomes. The ISARIC-COVID-19 dataset is the world’s largest standardized collection of comprehensive clinical data. Importantly, this dataset is freely available, which opens the possibility for any research to address knowledge gaps. This project will produce documentation, code and pre-processing of that dataset to accelerate and optimise its use. This dataset is a rich tool for characterizing the systemic complications contributing to the morbidity and mortality of COVID-19. As data identifying the risk factor and clinical characteristics of these complications are scarce, we hypothesize that creating a detailed data descriptor manuscript, a reference tutorial-like code, and using the systemic complications analysis as an example, would allow researchers without advanced coding skills to fully utilize the ISARIC-COVID-19 dataset.Finally, ensuring the dataset is correctly used and that researchers can make the best out of this dataset will improve the understating of the COVID-19 and its systemic complications.

COVID-19 pandemic has affected more than 80 million people around the globe. The epidemic has evolved at different speeds and times worldwide. Thus, describing the patients and the treatments used in countries where the epidemic began (e.g., China, Italy, UK) have helped other countries to prepare before COVID-19 arrival at their own countries. Thus, observational registries and the evidence they generate are of vital importance for decision-makers, patients, and physicians around the world. As with other pulmonary infections, patients with COVID-19 may develop systemic complications (e.g., heart failure, pulmonary embolisms, among others), which can worsen clinical outcomes. The ISARIC-COVID-19 dataset is the world’s largest standardized collection of comprehensive clinical data. Importantly, this dataset is freely available, which opens the possibility for any research to address knowledge gaps. This project will produce documentation, code and pre-processing of that dataset to accelerate and optimise its use. This dataset is a rich tool for characterizing the systemic complications contributing to the morbidity and mortality of COVID-19. As data identifying the risk factor and clinical characteristics of these complications are scarce, we hypothesize that creating a detailed data descriptor manuscript, a reference tutorial-like code, and using the systemic complications analysis as an example, would allow researchers without advanced coding skills to fully utilize the ISARIC-COVID-19 dataset.Finally, ensuring the dataset is correctly used and that researchers can make the best out of this dataset will improve the understating of the COVID-19 and its systemic complications.

COVID 19, risk factors,