Background: The current severe acute respiratory syndrome coronavirus 2 pandemic is unprecedented in its impact. It is essential to shed light on patient characteristics that predispose to a more severe disease course. Obesity, defined as a BMI>30 kg/m 2 , is suggested to be one of these characteristics. However, BMI does not differentiate between fat mass and lean body mass, or the distribution of fat tissue. The aim of the present study was to assess the body composition of COVID-19 patients admitted to the ward or the ICU and identify any associations with severity of disease. Methods: We performed an observational cross-sectional cohort study. Bioelectric impedance analysis was conducted amongst all confirmed COVID-19 patients admitted to the ward or ICU of our hospital in the Netherlands, between April 10 and 17, 2020. Body water measurements and derived values were recalculated to dry weight, using a standard ratio of extracellular water to total body water of 0.38. Data were compared between the ward and ICU patients, and regression models were used to assess the associations between baseline characteristics, body composition, and several indicators of disease severity, including a composite score composed of mortality, morbidity, and ICU admission. Results: Fifty-four patients were included, of which 30 in the ward and 24 in the ICU. The mean age was 67 years (95%-CI 64e71), and 34 (63%) were male. Mean BMI was 29.7 (95%-CI 28.2e31.1) kg/m 2 and did not differ between groups. Body composition values were not independently associated with disease severity. In multiple logistic regression analyses, a low phase angle was associated with COVID-19 severity in the composite score (OR 0.299, p ¼ 0.046). Conclusion: We found no significant associations between body composition, including fat mass, visceral fat area, and fat-free mass, and disease severity in our population of generally overweight COVID-19 patients. A lower phase angle did increase the odds of severe COVID-19. We believe that factors other than body composition play a more critical role in the development of severe COVID-19.
Introduction: In critically ill patients, nasogastric (NG) and nasojejunal (NJ) feeding tube placements are standard procedures. However, about 1.9% of blind tube insertions are malpositioned in the tracheopulmonary system, whereas guided procedures may result in a significant delay in nutritional delivery. Guided methods, such as Cortrak and fluoroscopy, have success rates of 82.6e85% and 93% respectively. The current study aims to investigate the performance of video-assisted feeding tube placement in the post-pyloric position using Integrated Real Time Imaging System (IRIS-) technology. Methods: A prospective cohort study in patients requiring enteral feeding was conducted in a mixed medical-surgical intensive care unit (ICU). The primary outcome was the post-pyloric placement of IRIS feeding tubes, as confirmed by X-ray. Secondary study objectives included gastric placement, ease of use and adverse events. Results: Thirty-one feeding tubes were placed using IRIS-technology; one patient was excluded for analysis due to protocol violation. One procedure was terminated due to significant bleeding (epistaxis) and desaturation. Only eighteen (58%) feeding tubes were placed in post-pyloric position (including two past the ligament of Treitz). In subjects who needed post-pyloric placement due gastroparesis, IRIS was mostly unsuccessful (success rate of 25%). However, when gastric placement was the primary objective, 96.8% of tubes were correctly placed. During insertion, tracheal visualization occurred in 27% of cases, and the IRIS feeding tube was repositioned early in the procedure without causing patient harm. Conclusions: Real-time video-assisted post-pyloric feeding tube placement in critically ill ICU patients was only successful in 58% of cases and therefore currently cannot be recommended for this indication. However, a high success rate (96.8%) for gastric placement was achieved. IRIS tube placement detected tracheal misplacement immediately and had few adverse events.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.