Development and validation of deep-learning-based sepsis and septic shock early prediction system in real-world ICU data - Milan 2023

Intensive care unit settings and acute respiratory failure

Chair(s): Christoph Fisser, Stefano Nava

Session type: Poster session

Development and validation of deep-learning-based sepsis and septic shock early prediction system in real-world ICU data

woo hyun cho

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COPD Care Bundle in Emergency Department Observation Unit Reduces Emergency Department Revisits

Pierpaolo Maietta

Abstract

Modeling using risk factors for delirium in elderly patients admitted to an intensive care unit.

Sung Won Chang

Poster

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Risk factors associated with Hantavirus Cardiopulmonary Syndrome in Chile.

Ricardo Fritz

Poster

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Risk factors for asthma related intensive care unit (ICU) admissions: Analysis of 1.4 million patients in England

Nikita Simms-williams

Poster

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Association of breathing reserve with post-operative pulmonary complications in an elective surgical cohort

Inbar Aberman

Poster

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Impact of socioeconomic factors on pneumological emergency response

Klaas F. Franzen

Poster

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Risk factors for long-term invasive mechanical ventilation: a retrospective longitudinal study using German health claims data

Franziska Trudzinski

Poster

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Decrease tissue oxygen saturation influenced acute skeletal muscle weakness in patients with critically ill patients

Ryuji Sugiya

Poster

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Prediction of healthcare-associated infection using Quantiferon monitoring in pneumonia patients

Yun Seong Kim

Poster

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The clinical score composite of six factors can guide DNR decisions in elderly patients with severe community acquired pneumonia: a retrospective multicenter cohort study.

Yu-cheng Wu

Poster

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Outcomes of lung cancer patients admitted to a medical intensive care unit (ICU)

Glenn Yong

Poster

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Association between early blood urea nitrogen-to-albumin ratio and one-year post-hospital mortality in critically ill surgical patients: a propensity score-matched study

Pei-ya Liao

Poster

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Expansion of anaerobic bacteria in the lung microbiome of critically ill patients is associated with altered immune landscape and worsened outcomes.

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Post-intubation cardiac arrest events in patients of acute respiratory failure: compare neuromuscular blockers (NMBs) for rapid sequence intubation (RSI)

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Thirty-one-month outcomes of utilizing business intelligence tool for data-driven decision support to enhance compliance with lung protective strategy

Yu-chu Kuo

Poster

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Prognostic value of serum omentin-1 in critically ill patients with sepsis

Irene Karampela

Poster

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A prospective study of circulating omentin-1 in critically ill patients with sepsis

Irene Karampela

Poster

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Development and validation of deep-learning-based sepsis and septic shock early prediction system in real-world ICU data

Woo Hyun Cho

Poster

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ICU experience of the Respiratory Syncytial Virus Season after 2 years into the COVID-19 pandemic in a single instituition

Lurisha Coopoosamy

Poster

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CDN Connection Issue

The ERS International Congress 2023, Milan

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