T he intensive care over nations (ICON) audit was an ambitious undertaking encompassing 10,069 patients in 730 ICUs in 84 countries mobilized for a 10-day period in 2012 for the purpose of understanding worldwide critical care delivery and epidemiology (1). The ICON investigators have performed an important real-world secondary analysis of 8,829 ICON patients had body mass index (BMI) recorded and were studied to determine the association of BMI and 60-day in-hospital death (2). In the ICON secondary analysis, 19.1% had BMI greater than or equal to 30 kg/ m 2 highlighting the pervasiveness of high BMI worldwide in the ICU. In this secondary analysis, the ICON investigators found that in adjusted Cox regression models, lower mortality was present in patients with a higher BMI, whereas mortality was increased with the lowest BMI consistent with the obesity paradox.The ICON secondary analysis used measured and estimated BMI, a practice similar to what routinely happens in an ICU as weight and height may not be practically or accurately measurable (3, 4). In general, measurement errors in weight estimation in the ICU are common and of such magnitude as to potentially alter the BMI category (3). Estimated data in the ICON secondary analysis are likely occurring at random and or at low frequency as the results are robust and consistent with other published observations in critical illness (5, 6).Previous studies in the critically ill show that high BMI is associated with increased ICU and/or in-hospital mortality, no difference in mortality and also improved mortality relative to nonobese patients (5). Similar to the important work of the ICON investigators, a nationally representative Dutch study shows improved mortality in the obese critically ill (6). In a study of 6,518 ICU patients, our group confirmed that the association between BMI greater than or equal to 30.0 kg/m 2 and decreased mortality is present but is confounded by nutrition status (5). Furthermore, in ICU patients with greater than or equal to 30.0 kg/m 2 , our group found that malnourished patients have decreased survival when compared with those without malnutrition (5).To put the ICON secondary analysis into context, it is helpful to understand what BMI measures and how it was derived. BMI is an anthropometric measurement derived in the 1830s by Adolphe Quetelet, a polymath who excelled at mathematics, sociology, statistics, and astronomy (7). The Quetelet Index (weight [kg]/height [m 2 ]) was derived by hand calculations from best fit observations of growth data from children 1 year old until puberty. These data were extrapolated to adults with normal body frames at a time when average height was 5.5 feet, the mean age of death was 47, and obesity was scarcely an issue (7,8). In 1972, the performance of the Quetelet Index was found to be at least as good as any other relative weight index as an indicator of relative obesity (9) and renamed the BMI. Because of its simplicity, ease of implementation, and reliability (10), BMI was widely adopted.Altho...