RICD: Russian Intensive Care Dataset

Announcement of the RICD

A comprehensive analysis of the risk of malnutrition in critically ill patients

Assessment of the prevalence, risk factors and outcomes of malnutrition in patients with traumatic brain injury and stroke - a RICD analysis

Observational study of microbial colonisation and infection complications according to RICD data

Evaluation of cultures and infectious complications (sepsis, pneumonia)

Etiological structure of lower respiratory tract pathogens in patients with chronic critical Illness

Assessment of the microbiologic profile of intensive care patients

Dynamic assessment of clinical scales for predicting mortality in septic ICU patients

Assessment of prognostic significance of APACHE, SOFA and NUTRIC scales in dynamics

A systematic review of open datasets in anesthesiology and intensive care medicine

Comparative evaluation of existing ICU datasets

A model for predicting mortality in patients in chronic critical illness after traumatic brain injury

Development of prognostic nomograms using various approaches to RICD data organization

Development of a nomogram for predicting mortality in patients with traumatic brain injury

A nomogram was developed to predict the probability of mortality within 14, 21, 28, and 42 days in patients with chronic critical illness after traumatic brain injury based on RICD data

Analysis of the structure of bacteremia in patients with chronic critical illness undergoing treatment and rehabilitation in the ICU

Determination of the structure of bacteremia in patients with severe brain injury in predominantly chronic critical illness using RICD data

Assessment of the prognostic value of the APACHE II and NUTRIC scores in patients with chronic critical illness

Evaluation of the prognostic significance of clinical scoring systems in the ICU within a rights-oriented approach to RICD data organization

Development of machine learning models for sepsis prediction in the ICU

Development and validation of prognostic models for patients with chronic critical illness based on RICD data and open-access databases such as PhysioNet

RICD: Russian Intensive Care Dataset

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