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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

384 related items for PubMed ID: 22963215

  • 1. Predicting energy expenditure in sepsis: Harris-Benedict and Schofield equations versus the Weir derivation.
    Subramaniam A, McPhee M, Nagappan R.
    Crit Care Resusc; 2012 Sep; 14(3):202-10. PubMed ID: 22963215
    [Abstract] [Full Text] [Related]

  • 2. Poor agreement between continuous measurements of energy expenditure and routinely used prediction equations in intensive care unit patients.
    Reid CL.
    Clin Nutr; 2007 Oct; 26(5):649-57. PubMed ID: 17418917
    [Abstract] [Full Text] [Related]

  • 3. Predicted versus measured energy expenditure by continuous, online indirect calorimetry in ventilated, critically ill children during the early postinjury period.
    Vazquez Martinez JL, Martinez-Romillo PD, Diez Sebastian J, Ruza Tarrio F.
    Pediatr Crit Care Med; 2004 Jan; 5(1):19-27. PubMed ID: 14697104
    [Abstract] [Full Text] [Related]

  • 4. Measured versus estimated energy expenditure in mechanically ventilated critically ill patients.
    Cheng CH, Chen CH, Wong Y, Lee BJ, Kan MN, Huang YC.
    Clin Nutr; 2002 Apr; 21(2):165-72. PubMed ID: 12056791
    [Abstract] [Full Text] [Related]

  • 5. Retrospective evaluation of commonly used equations to predict energy expenditure in mechanically ventilated, critically ill patients.
    Alexander E, Susla GM, Burstein AH, Brown DT, Ognibene FP.
    Pharmacotherapy; 2004 Dec; 24(12):1659-67. PubMed ID: 15585435
    [Abstract] [Full Text] [Related]

  • 6. Validation of a predictive method for an accurate assessment of resting energy expenditure in medical mechanically ventilated patients.
    Savard JF, Faisy C, Lerolle N, Guerot E, Diehl JL, Fagon JY.
    Crit Care Med; 2008 Apr; 36(4):1175-83. PubMed ID: 18379244
    [Abstract] [Full Text] [Related]

  • 7. [Comparison of measuring energy expenditure with indirect calorimetry and traditional estimation of energy expenditure in patients in intensive care unit].
    Xiao GZ, Su L, Duan PK, Wang QX, Huang Y.
    Zhongguo Wei Zhong Bing Ji Jiu Yi Xue; 2011 Jul; 23(7):392-5. PubMed ID: 21787465
    [Abstract] [Full Text] [Related]

  • 8. Accurate determination of energy needs in hospitalized patients.
    Boullata J, Williams J, Cottrell F, Hudson L, Compher C.
    J Am Diet Assoc; 2007 Mar; 107(3):393-401. PubMed ID: 17324656
    [Abstract] [Full Text] [Related]

  • 9. Energy expenditure in severe sepsis or septic shock in a Thai Medical Intensive Care Unit.
    Panitchote A, Thiangpak N, Hongsprabhas P, Hurst C.
    Asia Pac J Clin Nutr; 2017 Mar; 26(5):794-797. PubMed ID: 28802287
    [Abstract] [Full Text] [Related]

  • 10. Energy expenditure in critically ill children.
    Framson CM, LeLeiko NS, Dallal GE, Roubenoff R, Snelling LK, Dwyer JT.
    Pediatr Crit Care Med; 2007 May; 8(3):264-7. PubMed ID: 17417117
    [Abstract] [Full Text] [Related]

  • 11. Reliability of energy expenditure prediction equations in the weight management clinic.
    O'Riordan CF, Metcalf BS, Perkins JM, Wilkin TJ.
    J Hum Nutr Diet; 2010 Apr; 23(2):169-75. PubMed ID: 20082662
    [Abstract] [Full Text] [Related]

  • 12. A comparison between ventilation modes: how does activity level affect energy expenditure estimates?
    Hoher JA, Zimermann Teixeira PJ, Hertz F, da S Moreira J.
    JPEN J Parenter Enteral Nutr; 2008 Apr; 32(2):176-83. PubMed ID: 18407911
    [Abstract] [Full Text] [Related]

  • 13. The agreement between measured and predicted resting energy expenditure in patients with pancreatic cancer: a pilot study.
    Bauer J, Reeves MM, Capra S.
    JOP; 2004 Jan; 5(1):32-40. PubMed ID: 14730120
    [Abstract] [Full Text] [Related]

  • 14. Estimating energy expenditure in vascular surgery patients: Are predictive equations accurate enough?
    Suen J, Thomas JM, Delaney CL, Spark JI, Miller MD.
    Clin Nutr ESPEN; 2016 Dec; 16():16-23. PubMed ID: 28531450
    [Abstract] [Full Text] [Related]

  • 15. Comparison of measured versus predicted energy requirements in critically ill cancer patients.
    Pirat A, Tucker AM, Taylor KA, Jinnah R, Finch CG, Canada TD, Nates JL.
    Respir Care; 2009 Apr; 54(4):487-94. PubMed ID: 19327184
    [Abstract] [Full Text] [Related]

  • 16. Hand-held indirect calorimeter offers advantages compared with prediction equations, in a group of overweight women, to determine resting energy expenditures and estimated total energy expenditures during research screening.
    Spears KE, Kim H, Behall KM, Conway JM.
    J Am Diet Assoc; 2009 May; 109(5):836-45. PubMed ID: 19394470
    [Abstract] [Full Text] [Related]

  • 17. Validation of predictive equations to assess energy expenditure in acute spinal cord injury.
    Ramirez CL, Pelekhaty S, Massetti JM, Galvagno S, Harmon L, Botwinick I, Scalea TM, Stein DM.
    J Trauma Acute Care Surg; 2018 Nov; 85(5):984-991. PubMed ID: 29787541
    [Abstract] [Full Text] [Related]

  • 18. The effects of standard and branched chain amino acid enriched solutions on thermogenesis and energy expenditure in unconscious intensive care patients.
    Cankayali I, Demirag K, Kocabas S, Moral AR.
    Clin Nutr; 2004 Apr; 23(2):257-63. PubMed ID: 15030966
    [Abstract] [Full Text] [Related]

  • 19. The use of indirect calorimetry in critically ill patients--the relationship of measured energy expenditure to Injury Severity Score, Septic Severity Score, and APACHE II Score.
    Hwang TL, Huang SL, Chen MF.
    J Trauma; 1993 Feb; 34(2):247-51. PubMed ID: 8459465
    [Abstract] [Full Text] [Related]

  • 20. Introducing a new generation indirect calorimeter for estimating energy requirements in adult intensive care unit patients: feasibility, practical considerations, and comparison with a mathematical equation.
    De Waele E, Spapen H, Honoré PM, Mattens S, Van Gorp V, Diltoer M, Huyghens L.
    J Crit Care; 2013 Oct; 28(5):884.e1-6. PubMed ID: 23561944
    [Abstract] [Full Text] [Related]

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