[HTML][HTML] Active fluid de-resuscitation in critically ill patients with septic shock: A systematic review and meta-analysis
AS Messmer, T Dill, M Müller… - European journal of …, 2023 - Elsevier
Purpose To evaluate the impact of active fluid de-resuscitation on mortality in critically ill
patients with septic shock. Methods A systematic search was performed on PubMed …
patients with septic shock. Methods A systematic search was performed on PubMed …
Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction …
Objective The challenge of mixed-integer temporal data, which is particularly prominent for
medication use in the critically ill, limits the performance of predictive models. The purpose …
medication use in the critically ill, limits the performance of predictive models. The purpose …
The application of artificial intelligence in the management of sepsis
Sepsis is a complex and heterogeneous syndrome that remains a serious challenge to
healthcare worldwide. Patients afflicted by severe sepsis or septic shock are customarily …
healthcare worldwide. Patients afflicted by severe sepsis or septic shock are customarily …
Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model
Background Identifying patterns within ICU medication regimens may help artificial
intelligence algorithms to better predict patient outcomes; however, machine learning …
intelligence algorithms to better predict patient outcomes; however, machine learning …
Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients
Unsupervised clustering of intensive care unit (ICU) medications may identify unique
medication clusters (ie, pharmacophenotypes) in critically ill adults. We performed an …
medication clusters (ie, pharmacophenotypes) in critically ill adults. We performed an …
Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU
Fluid overload, while common in the ICU and associated with serious sequelae, is hard to
predict and may be influenced by ICU medication use. Machine learning (ML) approaches …
predict and may be influenced by ICU medication use. Machine learning (ML) approaches …
Fluid overload and mortality in critically ill patients with severe heart failure and cardiogenic shock–An observational cohort study
J Waskowski, MC Michel, R Steffen, AS Messmer… - Frontiers in …, 2022 - frontiersin.org
Objective Patients with heart failure (HF) and cardiogenic shock are especially prone to the
negative effects of fluid overload (FO); however, fluid resuscitation in respective patients is …
negative effects of fluid overload (FO); however, fluid resuscitation in respective patients is …
Improving irregular temporal modeling by integrating synthetic data to the electronic medical record using conditional GANs: a case study of fluid overload prediction …
Objective The challenge of irregular temporal data, which is particularly prominent for
medication use in the critically ill, limits the performance of predictive models. The purpose …
medication use in the critically ill, limits the performance of predictive models. The purpose …
Using machine-learning to assess the prognostic value of early enteral feeding intolerance in critically ill patients: a retrospective study
O Raphaeli, L Statlender, C Hajaj, I Bendavid… - Nutrients, 2023 - mdpi.com
Background: The association between gastrointestinal intolerance during early enteral
nutrition (EN) and adverse clinical outcomes in critically ill patients is controversial. We …
nutrition (EN) and adverse clinical outcomes in critically ill patients is controversial. We …
Influence of fluid accumulation on major adverse kidney events in critically ill patients–an observational cohort study
DM Hofer, L Ruzzante, J Waskowski, AS Messmer… - Annals of intensive …, 2024 - Springer
Background Fluid accumulation (FA) is known to be associated with acute kidney injury
(AKI) during intensive care unit (ICU) stay but data on mid-term renal outcome is scarce. The …
(AKI) during intensive care unit (ICU) stay but data on mid-term renal outcome is scarce. The …