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Antenatal blood sugar (FBG) may be an independent predictor of morbidity and mortality of the new type of coronavirus disease (COVID-19) in 2019.
, when incorporated into a model as a predictor, it is typically modeled linearly, in two categories, or in a classification manner.
recently published a study in Diabetes Care, an authoritative journal in the field of diabetes, in which researchers aim to comprehensively analyze different methods of FBG modeling to assess the risk of COVID-19 staying in an intensive care unit (ICU).
researchers used Kuwaiti COVID-19 patient data to fit FBG modeling using traditional methods and to use punitive synth methods for nonlinear estimation.
researchers were unable to identify key trends in the exposure-reaction relationship when modeling FBG using traditional linear, split and classification methods for 417 patients.
using nonlinear estimates to obtain a steep slope of about 10 mmol/L before leveling.
, the results show that COVID-19 patients should strictly control blood sugar when admitted to the hospital.
FBG is within the normal range, even a small increase is associated with a significant increase in the risk of ICU in PATIENT-19 patients.
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