2019
DOI: 10.1016/j.clnu.2017.12.005
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Body mass index as a biomarker for the evaluation of the “Obesity Paradox” among inpatients

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Cited by 13 publications
(11 citation statements)
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“…Therefore, prior to undergoing surgery for cancer, every patient should be evaluated in relation to nutritional status. However, the standard parameters of nutritional status assessment, particularly body weight and body mass index (BMI), are not particularly useful in predicting in-hospital complications [ 7 , 8 ]. Moreover, anthropometric parameters cannot identify a depletion in muscle mass that may be masked by a stable body weight or weight gain due to an increase in fat mass or swelling [ 3 ].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, prior to undergoing surgery for cancer, every patient should be evaluated in relation to nutritional status. However, the standard parameters of nutritional status assessment, particularly body weight and body mass index (BMI), are not particularly useful in predicting in-hospital complications [ 7 , 8 ]. Moreover, anthropometric parameters cannot identify a depletion in muscle mass that may be masked by a stable body weight or weight gain due to an increase in fat mass or swelling [ 3 ].…”
Section: Introductionmentioning
confidence: 99%
“…Historically, biomarker were coined only to biological uid, tissues, and chemicals that has been related and used to evaluate the disease conditions [23]. Nowadays, the term biomarker can also be used in various aspects outside biological samples as long as it is helpful in diagnosis, measuring, and monitoring disease conditions [21,24]. HIV guidelines globally are focusing on HIV treatment and disease monitoring, giving less attention to emerging problems like CMetS, makes the standard of ART care imperfect [25][26][27].…”
Section: Introductionmentioning
confidence: 99%
“…Nutritional status is one of the most important determinants of the health condition of a patient requiring hospitalization. Recent reports indicate that the relationship between in-hospital mortality and the body mass index (BMI) values forms the U-shaped curve [1]. The increase in the in-hospital mortality in patients with low body mass (left arm of the curve) is relatively easy to explain.…”
Section: Introductionmentioning
confidence: 99%
“…The increase in the in-hospital mortality in patients with low body mass (left arm of the curve) is relatively easy to explain. It usually results from the final stage of chronic and wasting diseases [1]. Therefore, the course of the right arm of the U-shaped curve draws more attention, as it concerns patients with a better prognosis.…”
Section: Introductionmentioning
confidence: 99%
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