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of critically ill adults remain largely supported by expert opinion and only a minority by high-quality evidence. An urgent unmet clinical need for high-quality clinical trials is warranted.
Published guideline recommendations for the nutritional management of critically ill adults remain largely supported by expert opinion and only a minority by high-quality evidence. An urgent unmet clinical need for high-quality clinical trials is warranted.
Both overfeeding and underfeeding of intensive care unit (ICU) patients are associated with worse outcomes. Predictive equations of nutritional requirements, though easily implemented, are highly inaccurate. Ideally, the individual caloric target is based on the frequent assessment of energy expenditure (EE). Indirect calorimetry is considered the gold standard but is not always available. EE estimated by ventilator-derived carbon dioxide consumption (EEVCO
) has been proposed as an alternative to indirect calorimetry, but there is limited evidence to support the use of this method.
We prospectively studied a cohort of adult critically ill patients requiring mechanical ventilation and artificial nutrition. We aimed to compare the performance of the EEVCO
with the EE measured by indirect calorimetry through the calculation of bias and precision (accuracy), agreement, reliability and 10% accuracy rates. The effect of including the food quotient (nutrition intake derived respiratory quotient) in contrast O2 method is used. Including the food quotient into the EEVCO2 equation does not improve its performance. Predictive equations, although inaccurate, may even predict energy expenditure better compared with the VCO2-method. Indirect calorimetry remains the gold standard method.
This cohort study assessed the effect of disease-related malnutrition (DRM) and fluid overload (FO) evaluated by bioimpedance vector analysis (BIVA) on mortality among hospitalized patients.
We examined adult patients hospitalized in an internal medicine ward. The malnutrition risk was assessed using the NRS2002 questionnaire, and body composition was estimated via BIVA. Clinical, epidemiological, and laboratory characteristics were compared between patients with and without DRM by BIVA (DRM-B). The effect of DRM and FO by BIVA on mortality was assessed via logistic regression analysis.
The study included 130 adult patients (62.3% men) with a mean age of 63±19years. Malnutrition risk at hospital admission was present in 43.8%. According to BIVA, 63.1% had normal body composition, 27.7% had DRM, and 9.2% obesity while FO was present in 53.1%. Patients with DRM-B were older (70±16 vs. 61±20years, p=0.05) and had a higher prevalence of cerebrovascular disease than patients without DRM-B (11% vs. 0%, p=0.001). The overall mortality rate was 8.5% (n=11) and was higher among patients with DRM-B than among those without DRM-B (16.7% vs. 5.3%, p=0.03). No differences existed in mortality between patients with and without FO (8.7% vs. 8.2%, p=0.91). DRM-B was associated with higher mortality rates adjusted for FO and comorbidities (odds ratio=3.7, 95% confidence interval 1.01-13.53, p=0.04).
DRM and FO by BIVA were very frequent in our population. DRM-B was associated with a higher mortality rate, which emphasizes the importance of evaluating body composition in hospitalized patients.
DRM and FO by BIVA were very frequent in our population. DRM-B was associated with a higher mortality rate, which emphasizes the importance of evaluating body composition in hospitalized patients.
While long-term obesity is a well-known risk factor for esophageal adenocarcinoma (ADC), recent weight loss represents a significant concern in esophageal cancer (EC), in relation with dysphagia and disease aggressiveness. Selleckchem Takinib These phenomenons may diversely impact the adipose tissue density, suggested in other cancer settings as an important prognostic biomarker. The analysis of body mass composition (BMC) parameters, including adipose tissue attenuation is studied here in a population of EC operated with curative intent.
BMC was retrospectively evaluated on Computed-Tomography (CT)-scan images from fluorodeoxyglucose (FDG)-positron-emitting (PET)/CT scans performed as a diagnostic procedure in a cohort of 145EC patients operated with curative intent The mean subcutaneous (SFD) and visceral fat (VFD) density along with the index (area/height
) (SF index (SFI), VF index (VFI)) were assessed on two adjacent slides at the third lumbar vertebra level by two independent investigators. Overall survival (OS) was calculated from the date of the baseline FDG-PET/CT scan.
Inter-observer correlations are excellent for all BMC parameters (r=0.94-0.99). As expected, weight loss is associated with worse outcome. We show that low SFD (HR 0.5 (95% CI 0.3-0.7), p<0.001) and low VFD (HR 0.6 (95% CI 0.4-0.9), p=0.04) at diagnosis are associated with better OS. In contrast, body mass index (BMI) fails to show any relevance in predicting survival.
Adipose tissue density is an important prognostic factor in EC.
Adipose tissue density is an important prognostic factor in EC.
Iron deficiency (ID) is a common comorbidity in patients with chronic heart failure (HF) and is associated with worse prognosis. We aimed at comparing the currently European Society of Cardiology (ESC) criterion for diagnosis of ID (ferritin<100μg/L or ferritin 100-299μg/L with transferrin saturation [TSAT]<20%) with either isolated low TSAT or isolated low ferritin on survival, in a cohort of HF patients.
This was an observational prospective study, investigating ambulatory patients with HF and reduced ejection fraction (n=108). All patients were assessed for clinical aspects and iron indexes. The primary endpoint was all-cause death.
Abnormal iron status was observed in 50 (46%) of patients. During the median follow-up time of 857.5 [647-899] days, 31 patients died (29%). In univariate analyses ESC-criterion (p=0.022) and isolated TSAT<20% (p=0.002), but not isolated ferritin <100μg/L (p=0.439), were significantly related to an increased risk of all-cause death. However, in multivariate analyses only TSAT <20% (HR=2.
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