دورية أكاديمية

A study on the factors influencing the transfer of COVID-19 severe illness patients out of the ICU based on generalized linear mixed effect model

التفاصيل البيبلوغرافية
العنوان: A study on the factors influencing the transfer of COVID-19 severe illness patients out of the ICU based on generalized linear mixed effect model
المؤلفون: Zemin Luan, Zhaoxia Yu, Ting Zeng, Rui Wang, Maozai Tian, Kai Wang
المصدر: Mathematical Biosciences and Engineering, Vol 19, Iss 10, Pp 10602-10617 (2022)
بيانات النشر: AIMS Press, 2022.
سنة النشر: 2022
المجموعة: LCC:Biotechnology
LCC:Mathematics
مصطلحات موضوعية: novel coronavirus(sars-cov-2), critically ill patients, generalized linear mixed effect model, maximum likelihood estimate, Biotechnology, TP248.13-248.65, Mathematics, QA1-939
الوصف: The clinical data of 76 severe illness patients with novel coronavirus SARS-CoV-2 from July to August, 2020 admitted to the ICU Intensive Care Unit ward in a hospital in Urumqi were collected in the paper. By using the Laplace approximation parameter estimation method based on maximum likelihood estimation, the generalized linear mixed effect model (GLMM) was established to analyze the characteristics of clinical indicators in critical patients, and to screen the main influencing factors of COVID-19 critical patients' inability to be transferred out of the ICU in a short time: age, C-reactive protein, serum creatinine and lactate dehydrogenase.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1551-0018
العلاقة: https://doaj.org/toc/1551-0018Test
DOI: 10.3934/mbe.2022495?viewType=HTML
DOI: 10.3934/mbe.2022495
الوصول الحر: https://doaj.org/article/4991c4cbb23544f5ac9309756933189bTest
رقم الانضمام: edsdoj.4991c4cbb23544f5ac9309756933189b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:15510018
DOI:10.3934/mbe.2022495?viewType=HTML