Effect of timing of intubation on clinical outcomes of critically ill patients with COVID-19: a systematic review and meta-analysis of non-randomized cohort studies

E Papoutsi, VG Giannakoulis, E Xourgia, C Routsi… - Critical Care, 2021 - Springer
Background Although several international guidelines recommend early over late intubation
of patients with severe coronavirus disease 2019 (COVID-19), this issue is still controversial …

COVID-19 pneumonia: pathophysiology and management

L Gattinoni, S Gattarello, I Steinberg… - European …, 2021 - Eur Respiratory Soc
Coronavirus disease 2019 (COVID-19) pneumonia is an evolving disease. We will focus on
the development of its pathophysiologic characteristics over time, and how these time …

Pulse oximetry for the diagnosis and management of acute respiratory distress syndrome

KD Wick, MA Matthay, LB Ware - The Lancet Respiratory Medicine, 2022 - thelancet.com
The diagnosis of acute respiratory distress syndrome (ARDS) traditionally requires
calculation of the ratio of partial pressure of arterial oxygen to fraction of inspired oxygen …

Changing trends in mortality among solid organ transplant recipients hospitalized for COVID‐19 during the course of the pandemic

MR Heldman, OS Kates, K Safa… - American journal of …, 2022 - Wiley Online Library
Mortality among patients hospitalized for COVID‐19 has declined over the course of the
pandemic. Mortality trends specifically in solid organ transplant recipients (SOTR) are …

eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults …

L Singhal, Y Garg, P Yang, A Tabaie, AI Wong… - PloS one, 2021 - journals.plos.org
We present an interpretable machine learning algorithm called 'eARDS'for predicting ARDS
in an ICU population comprising COVID-19 patients, up to 12-hours before satisfying the …

[HTML][HTML] Effects of intubation timing in patients with COVID-19 throughout the four waves of the pandemic: a matched analysis

J Riera, E Barbeta, A Tormos… - European respiratory …, 2023 - Eur Respiratory Soc
Background The primary aim of our study was to investigate the association between
intubation timing and hospital mortality in critically ill patients with coronavirus disease 2019 …

Timing of intubation and ICU mortality in COVID-19 patients: a retrospective analysis of 4198 critically ill patients during the first and second waves

S Manrique, L Claverias, M Magret, JR Masclans… - BMC …, 2023 - Springer
Background The optimal time to intubate patients with SARS-CoV-2 pneumonia has not
been adequately determined. While the use of non-invasive respiratory support before …

Triage and monitoring of COVID-19 patients in intensive care using unsupervised machine learning

S Boussen, PY Cordier, A Malet, P Simeone… - Computers in Biology …, 2022 - Elsevier
Background We designed an algorithm to assess COVID-19 patients severity and dynamic
intubation needs and predict their length of stay using the breathing frequency (BF) and …

Studying Continuous, Time-varying, and/or Complex Exposures Using Longitudinal Modified Treatment Policies

KL Hoffman, D Salazar-Barreto, NT Williams… - …, 2024 - journals.lww.com
This tutorial discusses a methodology for causal inference using longitudinal modified
treatment policies. This method facilitates the mathematical formalization, identification, and …

[HTML][HTML] Surgical site infections: guidance for elective surgery during the SARS-CoV-2 pandemic–international recommendations and clinical experience

O Assadian, M Golling, CM Krüger, D Leaper… - Journal of Hospital …, 2021 - Elsevier
Background The COVID-19 pandemic not only had an impact on public life and healthcare
facilities in general, but also affected established surgical workflows for elective procedures …