Multidisciplinary strategies to treat severe hypoglycemia in hospitalized patients with diabetes mellitus reduce inpatient mortality rate: Experience from an academic community hospital

S100A9 exerts insulin-independent antidiabetic and anti-inflammatory effects

Type 1 diabetes mellitus (T1DM) is characterized by insulin deficiency leading to hyperglycemia and several metabolic defects. Insulin therapy remains the cornerstone of T1DM management, yet it increases the risk of life-threatening hypoglycemia and the development of major comorbidities. Here, we report an insulin signaling-independent pathway able to improve glycemic control in T1DM rodents. Co-treatment with recombinant S100 calcium-binding protein A9 (S100A9) enabled increased adherence to glycemic targets with half as much insulin and without causing hypoglycemia. Mechanistically, we demonstrate that the hyperglycemia-suppressing action of S100A9 is due to a Toll-like receptor 4-dependent increase in glucose uptake in specific skeletal muscles (i.e., soleus and diaphragm). In addition, we found that T1DM mice have abnormal systemic inflammation, which is resolved by S100A9 therapy alone (or in combination with low insulin), hence uncovering a potent anti-inflammatory action of S100A9 in T1DM. In summary, our findings reveal the S100A9-TLR4 skeletal muscle axis as a promising therapeutic target for improving T1DM treatment.

How Do Hospitals Organize Diabetes Services? A Comparative Study

Most patients with diabetes will present to hospital for a reason not directly related to their diabetes. When a person with diabetes is not cared for properly, hospitalization can become complicated and lead to worse consequences for the patient. In fact, it is important to know how to manage a diabetic patient while in hospital. Therefore, a special organization is needed in hospitals for adaptation to chronic diseases such as diabetes. This study intends to help hospital adaptation to the special needs of diabetic patients by identifying patterns of care delivery in selected countries. This comparative study was performed in 2021. The data collection was conducted by searching in PubMed, Web of Knowledge, Scopus, Science Direct, Springer, Proquest, and also the websites of the selected countries hospitals. Based on the sampling method, three countries, Turkey, United Kingdom, and the United States, were selected from the countries with eligibility. However, during the study, according to the good practices about special diabetic care of countries such as Australia and Denmark, they were also examined. In this review study, we organized and compared the effective measures taken in selected countries in relation to the management of these patients in the hospital, focusing on the dimensions of service package, human resource, process, structure, equipment/technology, and information system required by diabetic patients.

Pathophysiologic Signature of Impending ICU Hypoglycemia in Bedside Monitoring and Electronic Health Record Data: Model Development and External Validation

OBJECTIVES

We tested the hypothesis that routine monitoring data could describe a detailed and distinct pathophysiologic phenotype of impending hypoglycemia in adult ICU patients.

DESIGN

Retrospective analysis leading to model development and validation.

SETTING

All ICU admissions wherein patients received insulin therapy during a 4-year period at the University of Virginia Medical Center. Each ICU was equipped with continuous physiologic monitoring systems whose signals were archived in an electronic data warehouse along with the entire medical record.

PATIENTS

Eleven thousand eight hundred forty-seven ICU patient admissions.

INTERVENTIONS

The primary outcome was hypoglycemia, defined as any episode of blood glucose less than 70 mg/dL where 50% dextrose injection was administered within 1 hour. We used 61 physiologic markers (including vital signs, laboratory values, demographics, and continuous cardiorespiratory monitoring variables) to inform the model.

MEASUREMENTS AND MAIN RESULTS

Our dataset consisted of 11,847 ICU patient admissions, 721 (6.1%) of which had one or more hypoglycemic episodes. Multivariable logistic regression analysis revealed a pathophysiologic signature of 41 independent variables that best characterized ICU hypoglycemia. The final model had a cross-validated area under the receiver operating characteristic curve of 0.83 (95% CI, 0.78-0.87) for prediction of impending ICU hypoglycemia. We externally validated the model in the Medical Information Mart for Intensive Care III critical care dataset, where it also demonstrated good performance with an area under the receiver operating characteristic curve of 0.79 (95% CI, 0.77-0.81).

CONCLUSIONS

We used data from a large number of critically ill inpatients to develop and externally validate a predictive model of impending ICU hypoglycemia. Future steps include incorporating this model into a clinical decision support system and testing its effects in a multicenter randomized controlled clinical trial.

Adherence to a Hypoglycemia Protocol in Hospitalized Patients: A Retrospective Analysis

BACKGROUND

Hypoglycemia can be a common occurrence in hospitalized patients, both those with and without diabetes. Hypoglycemia poses significant risks to hospitalized patients, including increased mortality.

OBJECTIVES

This was a retrospective pre-post study of hypoglycemic patients in an academic medical center of an intervention to improve timely staff nurse adherence to a hypoglycemia protocol. The number of mild and severe hypoglycemia events pre- and postintervention, timeliness of adherence to the hypoglycemia protocol, the number of treatment interventions, and time to return patients to euglycemia were analyzed.

METHODS

Data from hospitalizations of patients who experienced hypoglycemia (<70 mg/dl) and met inclusion criteria 1 year prior to intervention and 3 years postintervention were extracted, including demographics, glycemic control medications, diagnostic-related group, length of stay, and Charlson comorbidity index. For clarity and to determine if any significant change was sustained, the analysis compared data from 1 year prior to intervention to the second-year postintervention.

RESULTS

A total of 7,895 unique hypoglycemic events in 3,819 patients experiencing 20,094 hypoglycemic measures were included in the analysis. Patients were primarily adult, female, and White. Only 58.7% of the sample had diabetes; the median Charlson comorbidity index was 6. Results demonstrated improvement postintervention to registered nurse hypoglycemia protocol adherence regardless of age category or hypoglycemia severity. There was a significant reduction in median time from the first hypoglycemia measure to the second measure. In addition, there was a significant difference in the number of treatment interventions and reduction in time from the first hypoglycemia measure to return of patient to a blood glucose of ≥70 mg/dl.

DISCUSSION

These study results support that the use of a standardized hypoglycemia protocol and appropriate nurse workflows enables nurses to manage hypoglycemia promptly and effectively in most acute and critically ill hospitalized patients. Results also supported a differentiation in nurse workflow for patients with mild versus severe hypoglycemia. Implementing these interventions may result in avoidance or mitigation of the potential consequences of severe and/or sustained hypoglycemia.

Hospital care: improving outcomes in type 1 diabetes

PURPOSE OF REVIEW

Caring for patients with type 1 diabetes (T1D) in the hospital presents unique challenges. This review provides an update on significant issues relevant to the inpatient management of T1D. Topics include trends in diabetic ketoacidosis (DKA), hypoglycemia, and adapting ambulatory technologies for inpatient use.

RECENT FINDINGS

Rates of DKA in the United States are rising. Although socioeconomic status, health insurance coverage, and hemoglobin A1c are persistently associated with DKA in individuals with T1D, newer risk factors have also emerged. These include the off-label use of sodium-glucose cotransporter inhibitor medications, immune checkpoint inhibitor-induced diabetes, and infection with severe acute respiratory syndrome coronavirus 2. Hypoglycemia is common among hospitalized patients with T1D. Use of validated hypoglycemia risk prediction models and multidisciplinary care initiatives can reduce the risk of inpatient hypoglycemia. Finally, continuous glucose monitoring is being adapted for use in the hospital setting and has shown promise during the coronavirus disease 2019 (COVID-19) pandemic.

SUMMARY

Evidence-based treatment algorithms, risk prediction calculators, multidisciplinary interventions, and wearable technology hold promise for improved outcomes in hospitalized patients with T1D.

Association Between Intra-Hospital Uncontrolled Glycemia and Health Outcomes in Patients with Diabetes: A Systematic Review of Observational Studies

BACKGROUND

Many people are still getting affected by uncontrolled glycemic events during hospital admission, which encompasses hypoglycemia, hyperglycemia, and high glycemic variability.

INTRODUCTION

Primary studies have shown an association of glycemic dysregulation with increased length of hospital stay and mortality among overall patients, however, there is no systematic review of current evidence on the association between uncontrolled in-hospital glycemia in patients with diabetes and health outcomes. This study aimed to systematically review the current evidence on the association between uncontrolled in-hospital glycemia in patients with diabetes and health outcomes.

METHODS

The association between glycemic dysregulation and health outcomes for inpatients with diabetes was systematically reviewed. PubMed, Embase, and LILACS databases were searched. Two independent reviewers were involved in each of the following steps: screening titles, abstracts, and fulltexts; assessing the methodological quality; and extracting data from included reviews. Descriptive analysis method was used.

RESULTS

Seven cohort studies were included, and only two had a prospective design, consisting of 7,174 hospitalized patients with diabetes. In-hospital occurrence of hypoglycemia, hyperglycemia, and glycemic variability were assessed, and outcomes were mortality, infections, renal complications, and adverse events. Among the exposure and outcomes, an association was observed between severe hypoglycemia and mortality, hyperglycemia and infection, and hyperglycemia and adverse events.

CONCLUSION

In-hospital uncontrolled glycemia in patients with diabetes is associated with poor health outcomes. More studies should be conducted for proper investigation because diabetes is a complex condition. Effects of glycemic dysregulation should be investigated on the basis of overall health of a patient instead from only organ-target perspective, which makes the investigation difficult.

Evaluating the Impact of Inadequate Meal Consumption on Insulin-Related Hypoglycemia in Hospitalized Patients

OBJECTIVE

Meal intake is sometimes reduced in hospitalized patients. Meal-time insulin administration can cause hypoglycemia when a meal is not consumed. Inpatient providers may avoid ordering meal-time insulin due to hypoglycemia concerns, which can result in hyperglycemia. The frequency of reduced meal intake in hospitalized patients remains inadequately determined. This quality improvement project evaluates the percentage of meals consumed by hospitalized patients with insulin orders and the resulting risk of postmeal hypoglycemia (blood glucose [BG] <70 mg/dL, <3.9 mmol/L).

METHODS

This was a retrospective quality improvement project evaluating patients with any subcutaneous insulin orders hospitalized at a regional academic medical center between 2015 and 2017. BG, laboratory values, point of care, insulin administration, diet orders, and percentage of meal consumed documented by registered nurses were abstracted from electronic health records.

RESULTS

Meal consumption ≥50% was observed for 85% of meals with insulin orders, and bedside registered nurses were accurate at estimating this percentage. Age ≥65 years was a risk factor for reduced meal consumption (21% of meals 0%-49% consumed, P < .05 vs age < 65 years [12%]). Receiving meal-time insulin and then consuming only 0% to 49% of a meal (defined here as a mismatch) was not rare (6% of meals) and increased postmeal hypoglycemia risk. However, the attributable risk of postmeal hypoglycemia due to this mismatch was low (4 events per 1000) in patients with premeal BG between 70 and 180 mg/dL.

CONCLUSION

This project demonstrates that hospitalized patients treated with subcutaneous insulin have a low attributable risk of postmeal hypoglycemia related to inadequate meal intake.

Incidence and Risk Factors Associated with Outpatient Hypoglycemia in Patients with Type 2 Diabetes and Chronic Kidney Disease: A Nationwide Study

BACKGROUND

Chronic kidney disease and hypoglycemia are common complications in individuals with diabetes. Currently, the association of renal function with hypoglycemic complications in type 2 diabetes mellitus (T2DM) is inconclusive. This study aims to assess the associations between estimated glomerular filtration rate (eGFR) and cumulative incidence of hypoglycemia, hypoglycemia-related hospitalizations, and incidence of outpatient hypoglycemia among T2DM patients in Thailand using a nationwide patient sample.

METHODS

We conducted a nationwide retrospective cohort study based on the DM/HT study of the Medical Research Network of the Consortium of Thai Medical Schools. This study assessed adult T2DM patients from 831 public hospitals in Thailand in the year 2012-2013. eGFR was categorized into ≥90, 60-89, 30-59, 15-29, and <15 mL/min/1.73 m². The associations between eGFR and hypoglycemia, hypoglycemia-related hospitalizations, and incidence of outpatient hypoglycemia were assessed using multivariate logistic regression and Poisson regression.

RESULTS

A total of 25,056 T2DM patients with available eGFR were included in the analysis. The mean age was 60.9 ± 10.5 years. The cumulative incidence of hypoglycemia and hypoglycemia-related hospitalizations was 3.6% and 1.7%, respectively. Incidence of outpatient hypoglycemia, mild hypoglycemia, and severe hypoglycemia was 2.99 (2.59-3.43), 2.47 (2.11-2.88), and 0.52 (0.36-0.72) per 100 patient-years, respectively. Patients with eGFR of 30-59, 15-29, and <15 mL/min/1.73 m² were significantly associated with an increased risk of hypoglycemia, hypoglycemia-related hospitalizations, and incidence of outpatient hypoglycemia when compared to patients with eGFR of ≥90 mL/min/1.73 m².

CONCLUSION

Reduced eGFR was independently associated with increased hypoglycemia, hypoglycemia-related hospitalizations, and risk of outpatient hypoglycemia. Increasing awareness of the heightened risk of hypoglycemia with declining renal function may prompt changes to diabetic management for at-risk individuals.

Inpatient Hypoglycemia: The Challenge Remains

Hypoglycemia in inpatients with diabetes remains the most common complication of diabetes therapies. Hypoglycemia is independently associated with increased morbidity and mortality, increased length of stay, increased readmission rate, and increased cost. This review describes the importance of reporting and addressing inpatient hypoglycemia; it further summarizes eight strategies that aid clinicians in the prevention of inpatient hypoglycemia: auditing the electronic medical record, formulary restrictions and dose-limiting strategies, hyperkalemia order sets, electronic glucose management systems, prediction tools, diabetes self-management, remote surveillance, and noninsulin medications.

The use of sodium-glucose co-transporter 2 inhibitors in the inpatient setting: Is the risk worth taking?

WHAT IS KNOWN AND OBJECTIVE

In the outpatient setting, sodium-glucose co-transporter 2 inhibitors (SGLT2i) are recognized as effective agents to optimize glycaemia and also developing robust evidence for cardiovascular (CV) and renal protection in people with type 2 diabetes, particularly those at higher risk. However, data on the safety and efficacy of these drugs in hospitalized patients remain limited. The purpose of this review is to discuss the balance between risks and benefits of SGLT2i use in the inpatient setting.

METHODS

PubMed, Embase and Google Scholar databases were searched to identify relevant published work. Available evidence on the mechanisms of action and the safety profile of SGLT2i in the context of their use in hospitalized individuals are summarized and discussed in this narrative review.

RESULTS AND DISCUSSION

The rationale behind the use of these agents in the inpatient setting is based on the low risk of hypoglycaemia, the practical dosing scheme and the potential to decrease subsequent heart failure admission rates. In addition, data from animal studies indicate the ability of SGLT2i to ameliorate oxidative stress, suppress sympathetic activity, enhance autophagy and promote cardiac remodelling, when administered in the acute phase of CV episodes. On the other hand, these drugs have been linked to specific adverse events related to their mechanism of action, including an increased risk of euglycaemic diabetic ketoacidosis and volume depletion, which raises concerns over their usefulness in inpatients, particularly individuals with multimorbidities.

WHAT IS NEW AND CONCLUSION

Potential benefits deriving from the use of SGLT2i in the inpatient setting cannot mitigate possible risks, at least until robust evidence on their efficacy in hospitalized individuals become available. The concept of administering these agents in the acute phase of CV episodes, in people with or without diabetes, requires further evaluation in appropriately designed clinical studies.