Articles: intensive-care-units.
-
To explore the traits and risk factors of pregnant women admitted to intensive care units (ICUs) with COVID-19. Moreover, the study classifies outcomes based on differing levels of required respiratory support during their intensive care stay. ⋯ The results of this study highlight the characteristics of pregnant women admitted to the ICU at a specialized tertiary healthcare center in Saudi Arabia. The APACHI IV scores accurately predicted patient's mortality, duration of MV, and length of ICU stay. In our study, we shared our experience of managing severe COVID-19 infections in pregnant patients.
-
Journal of critical care · Apr 2024
Prevalence of frailty and association with patient centered outcomes: A prospective registry-embedded cohort study from India.
We aimed to study the prevalence of frailty, evaluate risk factors, and understand impact on outcomes in India. ⋯ CTRI/2021/02/031503.
-
Acta Anaesthesiol Scand · Apr 2024
Observational StudyBeta-lactam antibiotic concentrations in critically ill patients with standard and adjusted dosages: A prospective observational study.
Antibiotic concentration target attainment is known to be poor in critically ill patients. Dose adjustment is recommended in patients with altered clearance, obesity and those with bacterial species with intermediate susceptibility. The aim of this study was to investigate the variation of antibiotic concentration in critically ill patients with standard or adjusted dosing regimens. ⋯ Beta-lactam antibiotics concentration vary widely in critically ill patients. The current standard dosing regimens employed during the study were not sufficient to reach 100% ƒT > MIC in approximately a quarter of the patients. In patients where dose adjustment was performed, the group with increased dose also had low target attainment, as opposed to patients with dose reduction, who all reached target. This suggests the need for further individualization of dosing where therapeutic drug monitoring can be an alternative to further increase target attainment.
-
Intensive care unit (ICU) mortality prediction helps to guide therapeutic decision making for critically ill patients. Several scoring systems based on statistical techniques have been developed for this purpose. In this study, we developed a machine-learning model to predict patient mortality in the very early stage of ICU admission. ⋯ The XGBoost model most accurately predicted ICU mortality and was superior to traditional scoring systems. Our results highlight the utility of machine learning for ICU mortality prediction in the Asian population.