The relationship between serum potassium, potassium variability and in-hospital mortality in critically ill patients and a before-after analysis on the impact of computer-assisted potassium control

Introduction: The relationship between potassium regulation and outcome is not known. Our first aim in the present study was to determine the relationship between potassium level and variability in (ICU) stay and outcome. The second aim was to evaluate the impact of a computer-assisted potassium regulation protocol. Methods: We performed a retrospective before-after study including all patients > 15 years of age admitted for more than 24 hours to the ICU of our university teaching hospital between 2002 and 2011. Potassium control was fully integrated with computerized glucose control (glucose and potassium regulation program for intensive care patients (GRIP-II)). The potassium metrics that we determined included mean potassium, potassium variability (defined as the standard deviation of all potassium levels) and percentage of ICU time below and above the reference range (3.5 through 5.0 mmol/L). These metrics were determined for the first ICU day (early phase) and the subsequent ICU days (late phase; that is, day 2 to day 7). We also compared potassium metrics and in-hospital mortality before and after GRIP-II was implemented in 2006. Results: Of all 22,347 ICU admissions, 10,451 (47%) patients were included. A total of 206,987 potassium measurements were performed in these patients. Glucose was regulated by GRIP-II in 4,664 (45%) patients. The overall in-hospital mortality was 22%. There was a U-shaped relationship between the potassium level and in-hospital mortality (P <0.001). Moreover, potassium variability was independently associated with outcome. After implementation of GRIP-II, in the late phase the time below 3.5 mmol/L decreased from 9.2% to 3.9% and the time above 5.0 mmol/L decreased from 6.1% to 5.2%, and potassium variability decreased from 0.31 to 0.26 mmol/L (all P <0.001). The overall decrease in in-hospital mortality from 23.3% before introduction of GRIP-II to 19.9% afterward (P <0.001) was not related to a specific potassium subgroup. Conclusions: Hypokalemia, hyperkalemia and potassium variability were independently associated with increased mortality. Computerized potassium control clearly resulted in improved potassium metrics

Prevalence and management of delirium in intensive care units in the Netherlands:An observational multicentre study

Objectives: This study aimed to determine the prevalence, risk factors of delirium and current practice of delirium management in intensive care units of various levels of care.Research methodology/design: Prospective multicentre cohort study.Setting: In all adult patients admitted to one of the participating intensive care units on World Delirium Awareness Day 2018, delirium point and period prevalence rates were measured between ICU admission and seven days after the index day.Results: In total, 28 (33%) Dutch intensive care units participated in this study. Point-prevalence was 23% (range 41), and period-prevalence was 42% (range 70). University intensive care units had a significantly higher delirium point-prevalence compared with non-university units (26% vs.15%, p = 0.02). No signif-icant difference were found in period prevalence (50% vs. 39%, p = 0.09). Precipitating risk factors, infection and mechanical ventilation differed significantly between delirium and non-delirium patients. No differences were observed for predisposing risk factors. A delirium protocol was present in 89% of the ICUs. Mean delirium assessment compliance measured was 84% (+/- 19) in 14 units and estimated 59% (+/- 29) in the other 14.Conclusion: Delirium prevalence in Dutch intensive care units is substantial and occurs with a large variation, with the highest prevalence in university units. Precipitating risk factors were more frequent in patients with delirium. In the majority of units a delirium management protocol is in place. (C) 2020 Elsevier Ltd. All rights reserved.</p