Demographic data and baseline characteristics.

Demographic data and baseline characteristics.

<div><p>Objectives</p><p>This study aimed to assess the accuracy of bedside ultrasound in predicting resting energy expenditure (REE) in critically ill patients.</p><p>Methods</p><p>We studied critically ill patients admitted to our hospital’s ICU betw...

Spremljeno u:

Bibliografski detalji
Glavni autor:	Ming Gao (115719) (author)
Daljnji autori:	Li Tan (157486) (author), Yingli Zhou (5297033) (author), Wei Peng (432211) (author), Yuan Xu (161775) (author), Hua Zhou (50017) (author), Arthur Raymond Huber van Zanten (21567762) (author), Yan Zhu (112437) (author)
Izdano:	2025
Teme:	Medicine Physiology Biotechnology Immunology Marine Biology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified quadriceps femoris thickness penn state university hospital &# 8217 general demographic information psu ), mifflin including cardiac output 001 ), followed ultrasound may replace muscle ultrasound evaluations 124 ultrasound measurements mechanically ventilated patients critically ill patients us performed similarly high bmi groups early acute phase 675 vs r 612 vs r refine ultrasound application acute phase cardiac ultrasound psu formula 712 vs 682 vs 001 ). ultrasound estimation ultrasound data bedside ultrasound xlink "> us ). subgroup analysis study aimed sepsis subgroup november 2021 march 2023 low bmi less predictive late period established equations critical illness biceps brachii aspen standard 30 kg 20 kg 1294 ).
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!