ABSTRACT: Critical illness affects body composition profoundly, especially body cell mass (BCM). BCM loss reflects lean tissue wasting and could be a nutritional marker in critically ill patients. However, BCM assessment with usual isotopic or tracer methods is impractical in intensive care units (ICUs). We aimed to modelize the BCM of critically ill patients using variables available at bedside. Fat-free mass (FFM), bone mineral (Mo), and extracellular water (ECW) of 49 critically ill patients were measured prospectively by dual-energy X-ray absorptiometry and multifrequency bioimpedance. BCM was estimated according to the four-compartment cellular level: BCM = FFM - (ECW/0.98) - (0.73 × Mo). Variables that might influence the BCM were assessed, and multivariable analysis using fractional polynomials was conducted to determine the relations between BCM and these data. Bootstrap resampling was then used to estimate the most stable model predicting BCM. BCM was 22.7 ± 5.4 kg. The most frequent model included height (cm), leg circumference (cm), weight shift (Δ) between ICU admission and body composition assessment (kg), and trunk length (cm) as a linear function: BCM (kg) = 0.266 × height + 0.287 × leg circumference + 0.305 × Δweight - 0.406 × trunk length - 13.52. The fraction of variance explained by this model (adjusted r(2)) was 46%. Including bioelectrical impedance analysis variables in the model did not improve BCM prediction. In summary, our results suggest that BCM can be estimated at bedside, with an error lower than ±20% in 90% subjects, on the basis of static (height, trunk length), less stable (leg circumference), and dynamic biometric variables (Δweight) for critically ill patients.
AJP Endocrinology and Metabolism 05/2012; 303(3):E389-96. · 4.75 Impact Factor
ABSTRACT: Caloric insufficiency during the first week of ICU stay has been associated with increased infection rates. The connection between specific pathogens and host nutritional status in the ICU is not well known. This study was undertaken to determine the impact of patients' early in-ICU energy balance on the pathogens responsible for ventilator-associated pneumonia (VAP).
In this prospective, observational, cohort study conducted in a teaching hospital ICU, energy balance (energy delivered - calculated resting energy expenditure) was compared according to the microbiologic results of the fiber-optic BAL cultures of 76 consecutive patients receiving acute prolonged (≥ 96 h) mechanical ventilation who developed VAP during their ICU stay.
Among the 76 BAL cultures, 22 contained significant Staphylococcus aureus concentrations. The cumulated energy deficit of patients with S aureus VAP was greater than those with VAP caused by other pathogens (-10,275 ± 4,211 kcal vs -7,376 ± 4,013 kcal from ICU admission to day of BAL, P < .01). ICU admission, nutritional status, and conditions potentially limiting feeding did not differ significantly between the two groups. Patients with S aureus VAP had lower prescribed and delivered energy, causing higher energy deficits. Multivariate analysis identified energy deficit as being independently associated with S aureus VAP. More-severe energy deficit and higher rate of S aureus-positive BAL cultures (P = .01 comparing quartiles) were observed.
Early ICU energy deficit is an independent determinant for acquiring S aureus VAP in patients on acute prolonged mechanical ventilation.
Chest 09/2011; 140(5):1254-60. · 5.25 Impact Factor
Journal of Neurology 12/2010; 258(5):941-3. · 3.47 Impact Factor