| 17 |
Gunst J, De Bruyn A, Van den Berghe G. Glucose control in the ICU [J]. Curr Opin Anaesthesiol, 2019, 32(2): 156-162.
|
| 18 |
Leelarathna L, English SW, Thabit H, et al. Feasibility of fully automated closed-loop glucose control using continuous subcutaneous glucose measurements in critical illness: a randomized controlled trial [J]. Crit Care, 2013, 17(4): R159.
|
| 19 |
Reignier J, Mercier E, Le Gouge A, et al. Effect of not monitoring residual gastric volume on risk of ventilator-associated pneumonia in adults receiving mechanical ventilation and early enteral feeding: a randomized controlled trial [J]. J Am Med Assoc, 2013, 309: 249-256.
|
| 20 |
Hamada SR, Garcon P, Ronot M, et al. Ultrasound assessment of gastric volume in critically ill patients [J]. Intensive Care Med, 2014, 40: 965-972
|
| 21 |
邹同娟, 冉启芳, 尹万红, 等. 床旁超声测量胃窦横截面积对重症患者喂养不耐受的预测价值 [J]. 四川大学学报(医学版), 2019, 50(6): 815-820.
|
| 22 |
Sharma K, Mogensen KM, Robinson MK. Pathophysiology of critical illness and role of nutrition [J]. Nutr Clin Pract, 2019, 34(1): 12-22.
|
| 1 |
Yébenes JC, Campins L, Martínez de Lagran I, et al; Working Group on Nutrition and Metabolism of the Spanish Society of Critical Care. Nutritrauma: a key concept for minimising the harmful effects of the administration of medical nutrition therapy [J]. Nutrients, 2019, 11(8): 1775.
|
| 2 |
de Vries MC, Koekkoek WK, Opdam MH, et al. Nutritional assessment of critically ill patients: validation of the modified NUTRIC score [J]. Eur J Clin Nutr, 2018, 72(3): 428-435.
|
| 3 |
Majari K, Imani H, Hosseini S, et al. Comparison of modified NUTRIC, NRS-2002, and MUST scores in Iranian critically ill patients admitted to intensive care units: a prospective cohort study [J]. JPEN J Parenter Enteral Nutr, 2021, 45(7): 1504-1513.
|
| 4 |
Zusman O, Theilla M, Cohen J, et al. Resting energy expenditure, calorie and protein consumption in critically ill patients: a retrospective cohort study [J]. Crit Care, 2016, 20(1): 367.
|
| 5 |
Segadilha NLAL, Rocha EEM, Tanaka LMS, et al. Energy expenditure in critically ill elderly patients: indirect calorimetry vs predictive equations [J]. JPEN, 2017, 41(5): 776-784.
|
| 6 |
Moonen HPFX, Beckers KJH, van Zanten ARH. Energy expenditure and indirect calorimetry in critical illness and convalescence: current evidence and practical considerations [J]. J Intensive Care, 2021, 9(1): 8.
|
| 7 |
Singer P, Blaser AR, Berger MM, et al. ESPEN guideline on clinical nutrition in the intensive care unit [J]. Clin Nutr, 2019, 38(1): 48-79.
|
| 8 |
Taylor BE, McClave SA, Martindale RG, et al; Society of Critical Care Medicine; American Society of Parenteral and Enteral Nutrition. Guidelines for the provision and assessment of nutrition support therapy in the adult critically ill patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) [J]. Crit Care Med, 2016, 44(2): 390-438.
|
| 9 |
Fraipont V, Preiser JC. Energy estimation and measurement in critically ill patients [J]. JPEN J Parenter Enteral Nutr, 2013, 37(6): 705-713.
|
| 10 |
Stapel SN, Weijs PJM, Girbes ARJ, et al. Indirect calorimetry in critically ill mechanically ventilated patients: Comparison of E-sCOVX with the deltatrac [J]. Clin Nutr, 2019, 38(5): 2155-2160.
|
| 11 |
Ranasinghe RN, Biswas M, Vincent RP. Prealbumin: the clinical utility and analytical methodologies [J]. Ann Clin Biochem, 2022, 59(1): 7-14.
|
| 12 |
Beck FK, Rosenthal TC. Prealbumin: a marker for nutritional evaluation [J]. Am Fam Physician, 2002, 65(8): 1575-1578.
|
| 13 |
Page A, Flower L, Prowle J, et al. Novel methods to identify and measure catabolism [J]. Curr Opin Crit Care, 2021, 27(4): 361-366.
|
| 14 |
Kim TJ, Park SH, Jeong HB, et al. Optimizing nitrogen balance is associated with better outcomes in neurocritically ill patients [J]. Nutrients, 2020, 12(10): 3137.
|
| 15 |
Preiser JC, van Zanten AR, Berger MM, et al. Metabolic and nutritional support of critically ill patients: consensus and controversies [J]. Crit Care, 2015, 19(1): 35.
|
| 16 |
KrinsleyJames S, PreiserJean-Charles. Time in blood glucose range 70 to 140 mg/dl >80% is strongly associated with increased survival in non-diabetic critically ill adults [J]. Crit Care, 2015, 19: 179.
|