Impact of systematic advanced care planning in lung cancer patients: a prospective study

N Denis, JF Timsit, MG Levra, L Sakhri… - … Medicine and Research, 2020 - Elsevier
Background End-of-life (EOL) communication is crucial, particularly for cancer patients.
While advanced care planning is still uncommon, we sought to investigate its impact on care …

Outcomes of patients with malignancy admitted to the intensive care units: a prospective study

HI Assi, NA Halim, I Alameh, J Khoury… - … Care Research and …, 2021 - Wiley Online Library
Introduction. Decisions regarding whether advanced cancer patients should be admitted to
the ICU are based on a complex suite of considerations, including short‐and long‐term …

Prevalence of cancer patients in German intensive care units

M Kochanek, A Shimabukuro-Vornhagen… - Medizinische Klinik …, 2020 - Springer
Introduction Cancer is one of the leading causes of death worldwide. Due to increasing
comorbidities, age and aggressive chemotherapy, care of cancer patients in intensive care …

Predictors of survival in patients with advanced gastrointestinal malignancies admitted to the intensive care unit

H Ko, M Yan, R Gupta, K Kebbel, A Maiti, J Song… - The …, 2019 - academic.oup.com
Background Patients with cancer have a high use of health care utilization at the end of life,
which can frequently involve admissions to the intensive care unit (ICU). We sought to …

Predictors of short-term mortality in patients undergoing percutaneous dilatational tracheostomy

V Pandian, DL Gilstrap, MA Mirski, ER Haut… - Journal of critical …, 2012 - Elsevier
PURPOSE: The purpose of the study was to identify the predictors of short-term mortality in
patients undergoing percutaneous dilatational tracheostomy (PDT). MATERIALS AND …

[HTML][HTML] Machine learning model development and validation for predicting outcome in stage 4 solid cancer patients with septic shock visiting the emergency …

BS Ko, S Jeon, D Son, SH Choi, TG Shin… - Journal of Clinical …, 2022 - mdpi.com
A reliable prognostic score for minimizing futile treatments in advanced cancer patients with
septic shock is rare. A machine learning (ML) model to classify the risk of advanced cancer …

[HTML][HTML] Intensive care for cancer patients: an interdisciplinary challenge for cancer specialists and intensive care physicians

P Schellongowski, M Kiehl, M Kochanek… - memo-Magazine of …, 2016 - Springer
Every sixth to eighth European intensive care unit patient suffers from an underlying
malignant disease. A large proportion of these patients present with cancer-related …

Acute and chronic respiratory failure in cancer patients

SP Sears, G Carr, C Bime - Oncologic Critical Care, 2020 - Springer
In 2016, there was an estimated 1.8 million new cases of cancer diagnosed in the United
States. Remarkable advances have been made in cancer therapy and the 5-year survival …

[HTML][HTML] Pre-existing malignancy results in increased prevalence of distinct populations of CD4+ T cells during sepsis

J Xie, JM Robertson, C Chen, W Zhang… - PLoS …, 2018 - journals.plos.org
The presence of pre-existing malignancy in murine hosts results in increased immune
dysregulation and risk of mortality following a septic insult. Based on the known systemic …

[HTML][HTML] Murine lung cancer increases CD4+ T cell apoptosis and decreases gut proliferative capacity in sepsis

JD Lyons, R Mittal, KT Fay, CW Chen, Z Liang… - PLoS …, 2016 - journals.plos.org
Background Mortality is significantly higher in septic patients with cancer than in septic
patients without a history of cancer. We have previously described a model of pancreatic …