Introduction: "tight calorie control" concept arose to avoid over- and under-feeding of patients.
Objective: to describe and validate a simplified predictive equation of total energy expenditure (TEE) in mechanically ventilated critically ill patients.
Methods: this was a secondary analysis of measurements of TEE by indirect calorimetry in critically ill patients. Patients were allocated in a 2:1 form by a computer package to develop the new predictive equation TEE (prediction cohort) and the validation cohort. Indirect calorimetry was performed with three different calorimeters: the Douglas-bag, a metabolic computer and the CalorimetR. We developed a new TEE predictive equation using measured TEE (in kcal/kg/d) as dependent variable and as independent variables different factors known to influence energy expenditure: age, gender, body mass index (BMI) and type of injury.
Results: prediction cohort: 179 patients. Validation cohort: 91 patients. The equation was: TEEPE (kcal/Kg/d) = 33 - (3 x A) - (3 x BMI) - (1 x G). Where: A (age in years): ≤ 50 = 0; > 50 = 1. BMI (Kg/m2): 18.5 - 24.9 = 0; 25 - 29.9 = 1; 30 - 34.9 = 2; 35 - 39.9 = 3. G (gender): male = 0; female = 1. The bias (95% CI) was -0.1 (-1.0 - 0.7) kcal/kg/d and the limits of agreement (} 2SD) were -8.0 to 7.8 kcal/kg/d. Predicted TEE was accurate (within 85% to 115%) in 73.6% of patients.
Conclusion: the new predictive equation was acceptable to predict TEE in clinical practice for most mechanically ventilated critically ill patients.
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http://dx.doi.org/10.3305/nh.2015.32.3.9359 | DOI Listing |
Front Immunol
January 2025
Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Objective: Vaccination is protective against severe COVID-19 disease, yet whether vaccination reduces COVID-19-associated inflammation in pregnancy has not been established. The objective of this study is to characterize maternal and cord cytokine profiles of acute SARS-CoV-2 "breakthrough" infection (BTI) after vaccination, compared with unvaccinated infection and uninfected controls.
Study Design: 66 pregnant individuals enrolled in the MGH COVID-19 biorepository (March 2020-April 2022) were included.
Front Endocrinol (Lausanne)
January 2025
Department of Neurosurgery, Huzhou Central Hospital, Huzhou, China.
Background: Abnormal thyroid hormone levels may occur in critical illness, which may have an interactive relationship with inflammatory reaction. At present, the relationship between triiodothyronine (T3)/thyroxine (T4) ratio and inflammatory indicators and all-cause mortality of stroke survivors is still unclear.
Methods: We obtained the relevant data of the respondents from 2007 to 2012 through the National Health and Nutrition Examination Survey (NHANES) database for statistical analysis.
Optimal dosing of VTE prophylaxis for specific patient populations remains an area of concern as insufficient evidence exists regarding dosing for underweight patients. The purpose of this study is to compare the incidence of major bleeding events in underweight patients given different prophylactic doses of enoxaparin. This is a retrospective analysis performed at multiple hospitals within a single health care system.
View Article and Find Full Text PDFBreathe (Sheff)
January 2025
Sakarya University of Applied Sciences, Faculty of Health Sciences, Department of Nursing, Internal Disease Nursing, Sakarya, Türkiye.
Nursing plays a critical role in delivering healthcare services. It is a health discipline encompassing both science and art, designed to support people from birth to the end of life, in health and illness. Nurses are required to identify the physical and psychological needs of individuals, families and society with a comprehensive, human-oriented approach and to meet these needs.
View Article and Find Full Text PDFCureus
December 2024
Paediatrics, Imam Abdulrahman Bin Faisal University, Dammam, SAU.
Background Type I diabetes mellitus (T1DM) is a prevalent chronic illness that typically manifests in childhood. In patients who are genetically predisposed to diabetes, complex interactions between environmental and genetic factors play a role in the development of type 1 diabetes. There is proof that the onset of type 1 diabetes raises the possibility of developing additional autoimmune conditions.
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