Expert consensus on the glycemic management of critically ill patients

Variation in monitoring: Glucose measurement in the ICU as a case study to preempt spurious correlations

OBJECTIVE

Health inequities can be influenced by demographic factors such as race and ethnicity, proficiency in English, and biological sex. Disparities may manifest as differential likelihood of testing which correlates directly with the likelihood of an intervention to address an abnormal finding. Our retrospective observational study evaluated the presence of variation in glucose measurements in the Intensive Care Unit (ICU).

METHODS

Using the MIMIC-IV database (2008-2019), a single-center, academic referral hospital in Boston (USA), we identified adult patients meeting sepsis-3 criteria. Exclusion criteria were diabetic ketoacidosis, ICU length of stay under 1 day, and unknown race or ethnicity. We performed a logistic regression analysis to assess differential likelihoods of glucose measurements on day 1. A negative binomial regression was fitted to assess the frequency of subsequent glucose readings. Analyses were adjusted for relevant clinical confounders, and performed across three disparity proxy axes: race and ethnicity, sex, and English proficiency.

RESULTS

We studied 24,927 patients, of which 19.5% represented racial and ethnic minority groups, 42.4% were female, and 9.8% had limited English proficiency. No significant differences were found for glucose measurement on day 1 in the ICU. This pattern was consistent irrespective of the axis of analysis, i.e. race and ethnicity, sex, or English proficiency. Conversely, subsequent measurement frequency revealed potential disparities. Specifically, males (incidence rate ratio (IRR) 1.06, 95% confidence interval (CI) 1.01 - 1.21), patients who identify themselves as Hispanic (IRR 1.11, 95% CI 1.01 - 1.21), or Black (IRR 1.06, 95% CI 1.01 - 1.12), and patients being English proficient (IRR 1.08, 95% CI 1.01 - 1.15) had higher chances of subsequent glucose readings.

CONCLUSION

We found disparities in ICU glucose measurements among patients with sepsis, albeit the magnitude was small. Variation in disease monitoring is a source of data bias that may lead to spurious correlations when modeling health data.

The optimal blood glucose is significantly associated with lower mortality in critically ill patients with cardiogenic shock: an analysis revealed with time series blood glucose records

BACKGROUND

The optimal blood glucose (BG) level for patients with cardiogenic shock in the intensive care unit (ICU) remains unclear. Studies have found that both excessively high and low BG levels contribute to adverse cardiovascular events. Our study aims to investigate the optimal BG level for critically ill patients with cardiogenic shock and evaluate the effects of optimal BG on the prognosis of patients.

METHODS

A total of 2013 patients with cardiogenic shock obtained from the Medical Information Mart for Intensive Care (MIMIC) IV database were included in the final cohort for our retrospective observational study for data analysis. The exposure was time-weighted average BG (TWA-BG), which was calculated by the time-series BG records and corresponding time stamps of patients with cardiogenic shock during their stay in the ICU. The cut-off value of TWA-BG was identified by the restricted cubic spline curve and included patients were categorized into three groups: low TWA-BG group (TWA-BG ≤ 104 mg/dl), optimal TWA-BG group (104 < TWA-BG ≤ 138 mg/dl), and high TWA-BG group (TWA-BG > 138 mg/dl). The primary outcome was 28-day mortality, and the secondary outcomes were ICU and in-hospital mortality. We performed the log-rank test to detect whether there is a difference in mortality among different groups in the original cohort. Multiple distinct models were employed to validate the robustness of the results.

RESULTS

Our study revealed that the optimal BG level for critically ill patients with cardiogenic shock is 104-138 mg/dl. Compared to the optimal TWA-BG group, the low TWA-BG group (hazard ratio (HR): 1.67, 95% confidence interval (CI): 1.19-2.33, p = 0.002) and high TWA-BG group (HR: 1.72, 95% CI: 1.46-2.03, p < 0.001) exhibited higher 28-day mortality. Similarly, the low TWA-BG group and high TWA-BG group demonstrated higher risks in terms of ICU mortality (low TWA-BG group: HR: 2.30, 95% CI: 1.40-3.79, p < 0.001; high TWA-BG group: HR: 1.77, 95% CI: 1.45-2.17, p < 0.001) and in-hospital mortality (low TWA-BG group: HR: 1.73, 95% CI: 1.19-2.51, p = 0.001; high TWA-BG group: HR: 1.64, 95% CI: 1.38-1.95, p < 0.001). Sensitivity analysis conducted through propensity score matching and the subgroup analysis further substantiated the robustness of the results.

CONCLUSION

The optimal BG level for patients with cardiogenic shock is 104-138 mg/dl. BG levels below 104 mg/dl and above 138 mg/dl were associated with a less favorable prognosis.

Glucose management in critically ill adults: A qualitative study from the experiences of health care providers

Aims and objective

To explain the components and elements of glucose management in critically ill adult patients from the healthcare providers' experiences.

Background

Critically ill adults are highly susceptible to stress-induced hyperglycaemia due to glucose metabolic disorders. Healthcare workers play a key role in the glycaemic management of critically ill patients. However, there is a lack of qualitative studies on the content and elements of glycaemic management and healthcare workers' perceptions about glycaemic management in China.

Design

Qualitative study that followed the Consolidated Criteria for Reporting Qualitative Research (COREQ) guidelines.

Methods

Individual semi-structured interviews were conducted from January to April 2022. Fifteen physicians and nurses were recruited from ten hospitals in mainland China. Data were analysed using inductive thematic analysis.

Results

Glucose management in critically ill adult patients from their experiences included two parts: the inner ring (practice behaviours) and the external space (methods and drivers). The practice behaviours of glucose management include five elements, while the methods and drivers of glucose management focus on three elements. The content covered under each element was identified.

Conclusion

This study developed a glycaemic management model for critically ill adult patients, clarified its elements based on the perceptions of healthcare providers and elaborated on the methods and drivers covered under each element to provide a reference for physicians and nurses to develop a comprehensive glycaemic management guideline for critically ill adult patients.

Relevance to clinical practice

Our study proposed a glucose management practice model for critically ill adult patients, and the elements and components included in this model can provide a reference for physicians and nurses when performing glucose management in critically ill patients.