Machine learning to predict 30-day quality-adjusted survival in critically ill patients with cancer

HG Dos Santos, FG Zampieri, K Normilio-Silva… - Journal of Critical …, 2020 - Elsevier
Purpose To develop and compare the predictive performance of machine-learning
algorithms to estimate the risk of quality-adjusted life year (QALY) lower than or equal to 30 …

[HTML][HTML] Outcome and predictors of mortality in patients requiring invasive mechanical ventilation due to acute respiratory failure while undergoing ambulatory …

SY Park, SY Lim, SW Um, WJ Koh, MP Chung… - Supportive Care in …, 2013 - Springer
Purpose Acute respiratory failure that requires invasive mechanical ventilation is a leading
cause of death in critically ill cancer patients. The aim of this study was to evaluate the …

[HTML][HTML] sTREM-1 predicts intensive care unit and 28-day mortality in cancer patients with severe sepsis and septic shock

CG Ravetti, AD Moura, ÉL Vieira, ÊRP Pedroso… - Journal of Critical …, 2015 - Elsevier
Introduction The innate immune response molecules and their use as a predictor of mortality
in cancer patients with severe sepsis and septic shock are poorly investigated. Objective To …

Outcomes of haematology/oncology patients admitted to intensive care unit at T he C anberra H ospital

S Parakh, A Piggin, T Neeman, I Mitchell… - Internal medicine …, 2014 - Wiley Online Library
Background Outcomes for haematology/oncology patients have improved; however,
determining their suitability for intensive care unit (ICU) admission remains challenging and …

Factors associated with clinical deterioration among patients hospitalized on the wards at a tertiary cancer hospital

PG Lyons, J Klaus, CA McEvoy, P Westervelt… - Journal of oncology …, 2019 - ascopubs.org
PURPOSE: Patients hospitalized outside the intensive care unit (ICU) frequently experience
clinical deterioration. Little has been done to describe the landscape of clinical deterioration …

[HTML][HTML] H1N1pdm influenza infection in hospitalized cancer patients: clinical evolution and viral analysis

TML Souza, JIF Salluh, FA Bozza, M Mesquita… - PLoS …, 2010 - journals.plos.org
Background The novel influenza A pandemic virus (H1N1pdm) caused considerable
morbidity and mortality worldwide in 2009. The aim of the present study was to evaluate the …

Identifying cancer subjects with acute respiratory failure at high risk for intubation and mechanical ventilation

V Lemiale, J Lambert, E Canet, D Mokart, F Pène… - Respiratory …, 2014 - rc.rcjournal.com
BACKGROUND: We sought to identify risk factors for mechanical ventilation in patients with
malignancies and acute respiratory failure (ARF). METHODS: We analyzed data from a …

The effects of a simulation-based experience with standardized participants on learning and clinical decision-making related to nursing management of oncologic …

SA Burrell, JG Ross, C Byrne, MA Heverly - Journal of Cancer Education, 2023 - Springer
Upon entry-to-practice, graduate nurses must be able to effectively manage oncologic
emergencies to ensure best patient and family outcomes. Thus, nurse educators must …

Critically ill cancer patients in the intensive care unit: short‐term outcome and 1‐year mortality

D Mokart, A Etienne, B Esterni, JP BRUN… - Acta …, 2012 - Wiley Online Library
Background The short‐term survival of critically ill patients with cancer has improved over
time. Studies providing long‐term outcome for these patients are scarce. Methods We …

One-year mortality of cancer patients with an unplanned ICU admission: A cohort analysis between 2008 and 2017 in the Netherlands

EN van der Zee, F Termorshuizen… - Journal of intensive …, 2022 - journals.sagepub.com
Introduction: A decrease in short-term mortality of critically ill cancer patients with an
unplanned intensive care unit (ICU) admission has been described. Few studies describe a …