ISSN: 2545-2533     choose language:  

2022; 5(4): 1-7

DOI: 10.32114/CCI.2022.5.4.1.7
Published online: 2022-12-31 (first online 2022-08-04)

Indirect calorimetry versus usual care:
a retrospective cohort study.


Sanjith Saseedharan [1] , Roopa Karanam [1] , Vaijayanti Kadam [1] ,
Annapurna Chiluka [1] , Elizabeth Mathew [1] .

[1] Department of Critical Care S.L. Raheja Hospital (a fortis associate), Mumbai, Maharashtra, India.



    Abstract:


Abstract [EN]   - INTRODUCTION: : This is a study evaluating the effect of Indirect calorimetry on the length of stay. The study comprises of the comparison between the use of indirect calorimetry versus usual care in critically ill mechanically ventilated patients with respect to the length of stay in the intensive care unit, and duration of time on ventilator. Patients were divided on basis of their nutrition risk to study the effect of Indirect calorimetry on the length of stay. MATERIAL AND METHODS: This was a retrospective cohort study of 166 mechanical ventilated patients in S .L Raheja Hospital. Data was collected from 83 patients who were mechanically ventilated between January 2019 and November 2019 on whom indirect calorimetry was used to measure energy requirements. This cohort was compared to 83 patients between January 2018 and November 2918 where the energy requirements were calculated with the use of predictive equations. Both groups were matched for age, sex, comorbidities, APACHE score and use of vasopressors. RESULTS: Significant difference in the sicker group of patients was seen in the Length of stay in the intensive care unit. (9.23 ± 8.14 vs. 11.52 ± 5.65, p = 0.0034) Patients at risk for malnutrition demonstrated reduced length of time on ventilation as compared to those not at risk. (10.2 ± 11.01 vs. 13 ± 5.87; p = 0.0042). CONCLUSIONS: The use of indirect calorimetry may be associated with a lower length of ICU stay among ventilated patients in a reasonably sick group of mixed surgical patients.

Streszczenie [PL]   - WSTĘP: Badanie ocenia wpływ kalorymetrii pośredniej na długość hospitalizacji. Badanie polega na porównaniu zastosowania kalorymetrii pośredniej i zwykłej opieki u krytycznie chorych wentylowanych mechanicznie pacjentów pod względem długości pobytu na oddziale intensywnej terapii i czasu pod respiratorem. Pacjentów podzielono na podstawie ryzyka żywieniowego, aby zbadać wpływ kalorymetrii pośredniej na długość pobytu. MATERIAŁ I METODY: Było to retrospektywne badanie kohortowe 166 pacjentów wentylowanych mechanicznie w szpitalu S.L Raheja. Dane zebrano od 83 pacjentów wentylowanych mechanicznie między styczniem 2019 a listopadem 2019, u których zastosowano kalorymetrię pośrednią do pomiaru zapotrzebowania na energię. Kohortę tę porównano z 83 pacjentami w okresie od stycznia 2018 do listopada 2918 roku, u których zapotrzebowanie na energię obliczono za pomocą równań predykcyjnych. Obie grupy dobrano pod względem wieku, płci, chorób współistniejących, wyniku w skali APACHE i stosowania leków wazopresyjnych. WYNIKI: Istotną różnicę w grupie chorych z cięższą chorobą zaobserwowano w długości pobytu na oddziale intensywnej terapii (9,23 ± 8,14 vs. 11,52 ± 5,65, p = 0,0034). Pacjenci zagrożeni niedożywieniem wykazywali krótszy czas wentylacji w porównaniu z osobami bez ryzyka (10,2 ± 11,01 vs. 13 ± 5,87; p = 0,0042). WNIOSKI: Zastosowanie kalorymetrii pośredniej może wiązać się z krótszym czasem pobytu na OIT wśród pacjentów wentylowanych w grupie o umiarkowanym przebiegu chirurgii mieszanej.

    Citation:


VANCOUVER FORMAT

Saseedharan S, Karanam R, Kadam V, Chiluka A, Mathew E. Indirect calorimetry versus usual care: a retrospective cohort study. Crit. Care Innov. 2022; 5(4): 1-7.
DOI: 10.32114/CCI.2022.5.4.1.7


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    References:


[1] Rattanachaiwong S, Singer P. Should we calculate or measure energy expenditure? practical aspects in the ICU. Nutrition 2018; 55-56: 71-75.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[2] Branson RD, Johannigman JA. The measurement of energy expenditure. Nutr Clin Pract. 2004; 19(6): 622- 636.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[3] Alexander E, Susla GM, Burstein AH, Brown DT, Ognibene FP. Retrospective evaluation of commonly used equations to predict energy expenditure in mechanically ventilated, critically ill patients. Pharmacotherapy 2004; 24(12): 1659-1667.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[4] Wooley JA. Indirect calorimetry: applications in practice. Respir Care Clin N Am. 2006; 12(4): 619-633.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[5] Haugen HA, Chan LN, Li F. Indirect calorimetry: a practical guide for clinicians. Nutr Clin Pract. 2007; 22(4): 377-388.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[6] McClave SA. Indirect calorimetry: relevance to patient outcome. Respir Care Clin N Am. 2006; 12(4): 635-650.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[7] Frankenfield D, Hise M, Malone A, Russell M, Gradwell E, Compher C; Evidence Analysis Working Group. Prediction of resting metabolic rate in critically ill adult patients: results of a systematic review of the evidence. J Am Diet Assoc. 2007; 107(9): 1552-1561.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[8] Cerra FB, Benitez MR, Blackburn GL, Irwin RS, Jeejeebhoy K, Katz DP, et al. Applied nutrition in ICU patients. A consensus statement of the American College of Chest Physicians. Chest. 1997; 111(3): 769-778.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[9] Delsoglio M, Achamrah N, Berger MM, Pichard C. Indirect Calorimetry in Clinical Practice. J Clin Med. 2019; 8(9): 1387.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[10] De Waele E, van Zanten ARH. Routine use of indirect calorimetry in critically ill patients: pros and cons. Crit Care. 2022; 26(1): 123.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[11] Tatucu-Babet OA, Fetterplace K, Lambell K, Miller E, Deane AM, Ridley EJ. Is Energy Delivery Guided by Indirect Calorimetry Associated With Improved Clinical Outcomes in Critically Ill Patients? A Systematic Review and Meta-analysis. Nutr Metab Insights. 2020: 13: 1178638820903295.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[12] Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med. 1985; 13(10): 818-829.
| PubMed (NCBI) | Scholar Google |

[13] Vasileiou G, Qian S, Iyengar R, Mulder MB, Gass LM, Parks J, et al. Use of Predictive Equations for Energy Prescription Results in Inaccurate Estimation in Trauma Patients. Nutr Clin Pract. 2020; 35(5): 927-932.
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

[14] XXX
| Digital Object Identifier (DOI) | PubMed (NCBI) | Scholar Google |

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