This multi-center randomized controlled trial (RCT) sought to determine if tight glycemic control in critically ill patients not on total parenteral nutrition (TPN) improved various outcomes in the intensive care unit (ICU). They found that, even with the use of a computer algorithm to enforce glycemic goals, there was no difference in length of ICU stay or risk of death between patients with tight versus conventional glucose goals.
Summary: The relationship between blood-glucose level and outcomes has been extensively studied in the ICU population. While many prior RCTs have shown the deleterious effects hyperglycemia as it relates to complications and mortality in the patients with critical illness, subsequent RCTs have been unable to replicate this, with a large trial showing increased mortality attributed to severe hypoglycemia in this patient population. One potential contributing factor to this discordance was due to the use of parenteral nutrition, which is thought to confound results, as well as the lack of standardized glucose measurements in tight glucose control trials.
Therefore, to address these limitations, the goal of this multi-center RCT was to determine if the use of a computer algorithm called LOGIC-insulin, which guides bedside nurses on how to adjust insulin infusions, to enforce tight glucose control (defined as 80-110 mg/dL) in critically ill patients NOT receiving parenteral nutrition would decrease ICU needs as compared to those with conventional glucose control (defined as 180-215 mg/dL). All the patients received enteral nutrition as soon as possible, but parenteral nutrition was initiated only after 1 week in the ICU. Primary outcome was length of time that ICU care was needed, defined as time to discharge alive from ICU or time until readiness for discharge from ICU.
Overall, 9230 patients were included in the study, 4622 of which were assigned to the tight glucose control group between September 2018 and August 2022 in 11 ICUs across three hospitals in Belgium. Similar to other RCTs by this group, these patients were overwhelming cardiothoracic surgery patients (about 45% in each arm). Overall, patients with tight glucose control did not have a decreased length of stay in the ICU (HR 1.00, 95% CI: 0.96 – 1.04, p=0.94) but were more slightly more likely to exhibit a hypoglycemia event, although not statistically significant (1.0% vs. 0.7%, RR = 1.52, 95% CI: 0.97 – 2.39). There was also no difference in mortality among the two groups (10.1% vs 10.5%, p=0.51). Secondary outcomes, which included acute kidney injury (AKI), liver dysfunction, and new infection were similar between groups, except a slightly decreased rates of AKI in the tight control group (8.6% vs. 7.2%, RR 0.85, 95% CI 0.73 – 0.97) including need for renal replacement therapy (5.8% vs. 4.7%, RR 0.82, 95% CI: 0.68 – 0.98) and decreased markers of cholestatic liver dysfunction.
There are several limitations of this study, first of which includes the heterogeneity of the patient population that may be skewing results. More importantly, the median glucose level between the two groups were significantly different at 107 vs. 140 mg/dL, but whether that 30 mg/dL difference is large enough to be clinically significant is unclear. Another approach might be to consider the impact of glucose variability during the stay on outcomes, a facet that has previously been associated with poor outcomes. Similarly, it might be useful to evaluate insulin rate or degree of insulin resistance via HOMA-IR and outcomes across the groups. Regardless, this study only reinforces that work should be focused on the potential pathophysiology driving the association between high glucose levels >200 mg/dL and outcomes. The trend toward improved kidney and liver function with lower glucose levels is consistent with the literature and emphasizes the importance in understanding the mechanisms underlying hyperglycemia’s persistent association with bad outcomes - which highlights a great place to focus future efforts.
Bottom line: Tight glycemic control, as directed by a computer-based algorithm, does not decrease the risk of prolonged ICU stay or death in patients with critical illness who are not receiving parenteral nutrition.