147 Body composition measurement methods in preterm infants 7 Results Quality assessment Results include preterm as well as term infants When added to weight and length, SFT explained an additional 13% of the variance in fat free mass (g) Level of evidence 4 Strengths & limitations Assessment of agreement with reference method – Assessment of intra- and interobserver variability + Repeated measurements + Coefficients of variance assessed – Sensitivity analysis – Bootstrapping analysis – Cross validation group – External validation – Large study population – Exclusively preterm infants – Results include preterm as well as term infants Newly modeled predictive equation based on SFT explained 94% of the variance in fat mass (g). The mean error of the predictive equation for the estimation of fat mass (g) was ± 75, ± 170, ± 300, and ± 380 g for infants with an FM ≤ 500, 501–1000, 1001–2000, or > 2000 g, respectively Limits of agreement not reported Previously modeled predictive equations could not be validated Level of evidence 2 Strengths & limitations Assessment of agreement with reference method + Assessment of intra- and interobserver variability – Repeated measurements + Coefficients of variance assessed – Sensitivity analysis – Bootstrapping analysis + Cross validation group + External validation – Large study population – Exclusively preterm infants – Supra-iliac SFT was a covariate for fat mass percentage and together with mid-arm circumference accounted for 49% of the variance. Level of evidence 2 Strengths & limitations Assessment of agreement with reference method – Assessment of intra- and interobserver variability – Repeated measurements + Coefficients of variance assessed – Sensitivity analysis – Bootstrapping analysis – External validation – Large study population – Exclusively preterm infants – Level 4: Case-control study, poor or non-independent reference standard Level 5: Expert opinion without explicit critical appraisal, or based on physiology, bench research or “first principles”
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