Introduction The nutritional diagnosis and early nutritional management of COVID-19 patients must be integrated into the overall therapeutic strategy. The aim of our study is to assess the nutritional status of patients with COVID-19 after a stay in intensive care, to describe the prevalence of undernutrition, to determine the factors influencing undernutrition and to describe the nutritional management. Tools and methods This is a descriptive observational study of adult patients admitted to the endocrinology service for additional care after a stay in intensive care during the period from April 17, 2020 to May 26, 2020. The assessment tool used was the Mini Nutritional Assessment (MNA). Results Our study included 41 patients; the average age of the patients was 55 years, 51.2% had a severe or critical form of COVID-19, 75.6% stayed in intensive care, 12.2% had a loss of autonomy. The average BMI was 25.2 kg/m 2 (17–42 kg/m 2 ), 42.5% were overweight, 61% had weight loss, 26.2% had weight loss greater than 10%, 14.6% of our patients were undernourished, 65.9% were at risk of undernutrition, 19.5% had hypoalbuminemia, 17.1% had hypoprotidemia, 19.5% hypocalcemia, 34.1% anemia, 12.2% hypomagnesemia and 51.2% had a deficiency in vitamin D. A positive correlation was found between poor nutritional status and a longer stay in intensive care (>5 days) (p = 0.011) and lymphopenia (p = 0,02). Conclusion Despite a personalized diet, 14.6% of patients presented undernutrition. Particular attention should be paid to patients with a long stay in intensive care.
There is no doubt that the introduction of the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines 14 years ago, and their subsequent updates, have substantially contributed to the early detection of different stages of chronic kidney disease (CKD). Several recent studies from different parts of the world mention a CKD prevalence of 8-13%. However, some editorials and reviews have begun to describe the weaknesses of a substantial number of studies. Maremar (maladies rénales chroniques au Maroc) is a recently published prevalence study of CKD, hypertension, diabetes and obesity in a randomized, representative and high response rate (85%) sample of the adult population of Morocco that strictly applied the KDIGO guidelines. When adjusted to the actual adult population of Morocco (2015), a rather low prevalence of CKD (2.9%) was found. Several reasons for this low prevalence were identified; the tagine-like population pyramid of the Maremar population was a factor, but even more important were the confirmation of proteinuria found at first screening and the proof of chronicity of decreased estimated glomerular filtration rate (eGFR), eliminating false positive results. In addition, it was found that when an arbitrary single threshold of eGFR (<60 mL/min/1.73 m2) was used to classify CKD stages 3, 4 and 5, it lead to substantial 'overdiagnosis' (false positives) in the elderly (>55 years of age), particularly in those without proteinuria, haematuria or hypertension. It also resulted in a significant 'underdiagnosis' (false negatives) in younger individuals with an eGFR >60 mL/min/1.73 m2 and below the third percentile of their age-/gender-category. The use of the third percentile eGFR level as a cut-off, based on age-gender-specific reference values of eGFR, allows the detection of these false positives and negatives. There is an urgent need for additional quality studies of the prevalence of CKD using the recent KDIGO guidelines in the correct way, to avoid overestimation of the true disease state of CKD by ≥50% with potentially dramatic consequences.
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.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.