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Reply to: Factors associated with mortality in mechanically ventilated patients with severe acute respiratory syndrome due to COVID-19 evolution.

作者信息

Reis Luis Felipe da Fonseca, Oliveira João Paulo Arruda de, Ferreira Arthur de Sá, Lopes Agnaldo José

机构信息

Postgraduate Program in Rehabilitation Sciences, Centro Universitário Augusto Motta - Rio de Janeiro (RJ), Brazil.

出版信息

Crit Care Sci. 2024 Oct 7;36:e20240213en. doi: 10.62675/2965-2774.20240213-en. eCollection 2024.

DOI:10.62675/2965-2774.20240213-en
PMID:39383360
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11463990/
Abstract
摘要

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The interplay between obesity, immunosenescence, and insulin resistance.肥胖、免疫衰老与胰岛素抵抗之间的相互作用。
Immun Ageing. 2024 Feb 5;21(1):13. doi: 10.1186/s12979-024-00414-7.
3
Factors associated with mortality in mechanically ventilated patients with severe acute respiratory syndrome due to COVID-19 evolution.与 COVID-19 演变导致的机械通气严重急性呼吸综合征患者死亡率相关的因素。
Crit Care Sci. 2023 Mar 1;35(1):19-30. doi: 10.5935/2965-2774.20230203-en.
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A machine learning model on Real World Data for predicting progression to Acute Respiratory Distress Syndrome (ARDS) among COVID-19 patients.基于真实世界数据的机器学习模型预测 COVID-19 患者进展为急性呼吸窘迫综合征（ARDS）。
PLoS One. 2022 Jul 28;17(7):e0271227. doi: 10.1371/journal.pone.0271227. eCollection 2022.
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Mortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records.基于电子健康记录的机器学习算法对重症监护病房患者的死亡率预测。
Sci Rep. 2022 May 3;12(1):7180. doi: 10.1038/s41598-022-11226-4.
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Int J Obes (Lond). 2021 Dec;45(12):2617-2622. doi: 10.1038/s41366-021-00938-8. Epub 2021 Aug 25.
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