Pathophysiology and management strategies for hyperglycemia for patients with acute illness during and following a hospital stay

Impact of diabetes on COVID-19-related in-hospital mortality: a retrospective study from Northern Italy

PURPOSE

The purpose of this study was to evaluate the impact of pre-existing diabetes on in-hospital mortality in patients admitted for Coronavirus Disease 2019 (COVID-19).

METHODS

This is a single center, retrospective study conducted at Policlinico di Monza hospital, located in the Lombardy region, Northern Italy. We reviewed medical records of 373 consecutive adult patients who were hospitalized with COVID-19 between February 22 and May 15, 2020. Data were collected on diabetes status, comorbid conditions and laboratory findings. Multivariable logistic regression was performed to evaluate the effect of diabetes on in-hospital mortality after adjustment for potential confounding variables.

RESULTS

Mean age of the patients was 72 ± 14 years (range 17-98), 244 (65.4%) were male and 69 (18.5%) had diabetes. The most common comorbid conditions were hypertension (237 [64.8%]), cardiovascular disease (140 [37.7%]) and malignant neoplasms (50 [13.6%]). In-hospital death occurred in 142 (38.0%) patients. In the multivariable model older age (Relative Risk [RR] 1.06 [1.04-1. 09] per year), diabetes (RR 1.56 [1.05-2.02]), chronic obstructive pulmonary disease (RR 1.82 [1.13-2.35]), higher values of lactic dehydrogenase and C-reactive protein were independently associated with in-hospital mortality.

CONCLUSION

In this retrospective single-center study, diabetes was independently associated with a higher in-hospital mortality. More intensive surveillance of patients with this condition is to be warranted.

Diabetes mellitus is independently associated with adverse clinical outcome in soft tissue sarcoma patients

Diabetes mellitus (DM) and hyperglycemia are known predictors of adverse outcome in different tumor entities. The present study investigated the effect of DM and pre-surgery blood glucose levels on cancer specific survival (CSS), overall survival (OS), and disease-free survival (DFS) in non-metastatic soft tissue sarcoma (STS) patients. A total of 475 STS patients who underwent curative resection were included in this retrospective study. CSS, DFS, and OS were assessed using Kaplan-Meier curves. The association between pre-existing DM as well as mean pre-surgery blood glucose levels and all 3 survival endpoints was analyzed using Cox-hazard proportional (for OS and DFS) and competing risk regression models (for CSS). In unadjusted analysis, DM was significantly associated with adverse CSS (sub-hazard ratio [SHR]: 2.14, 95% confidence interval [CI] 1.18-3.90, p = 0.013) and OS (hazard ratio [HR]: 2.05, 95% CI 1.28-3.28) and remained significant after adjusting for established prognostic factors (CSS: adjusted SHR 2.33, 95% CI 1.21-4.49, p = 0.012; OS: adjusted HR 1.96, 95% CI 1.17-3.28, p = 0.010), respectively. There was no significant association of DM with DFS (p = 0.149). The mean pre-surgery glucose levels were not significantly associated with inferior outcome (CSS: p = 0.510, OS: p = 0.382 and DFS: p = 0.786). This study shows, that DM represents a negative prognostic factor for clinical outcome in STS patients after curative resection.

Outcomes in Patients With Hyperglycemia Affected by COVID-19: Can We Do More on Glycemic Control?

OBJECTIVE

An important prognostic factor in any form of infection seems to be glucose control in patients with type 2 diabetes. There is no information about the effects of tight glycemic control on coronavirus disease 2019 (COVID-19) outcomes in patients with hyperglycemia. Therefore, we examined the effects of optimal glycemic control in patients with hyperglycemia affected by COVID-19.

RESEARCH DESIGN AND METHODS

Fifty-nine patients with COVID-19 hospitalized with moderate disease were evaluated. On the basis of admission glycemia >7.77 mmol/L, patients were divided into hyperglycemic and normoglycemic groups. Interleukin 6 (IL-6) and D-dimer levels were evaluated at admission and weekly during hospitalization. The composite end point was severe disease, admission to an intensive care unit, use of mechanical ventilation, or death.

RESULTS

Thirty-four (57.6%) patients were normoglycemic and 25 (42.4%) were hyperglycemic. In the hyperglycemic group, 7 (28%) and 18 (72%) patients were diagnosed with diabetes already before admission, and 10 (40%) and 15 (60%) were treated without and with insulin infusion, respectively. The mean of glycemia during hospitalization was 10.65 ± 0.84 mmol/L in the no insulin infusion group and 7.69 ± 1.85 mmol/L in the insulin infusion group. At baseline, IL-6 and D-dimer levels were significantly higher in the hyperglycemic group than in the normoglycemic group (P < 0.001). Even though all patients were on standard treatment for COVID-19 infection, IL-6 and D-dimer levels persisted higher in patients with hyperglycemia during hospitalization. In a risk-adjusted Cox regression analysis, both patients with hyperglycemia and patients with diabetes had a higher risk of severe disease than those without diabetes and with normoglycemia. Cox regression analysis evidenced that patients with hyperglycemia treated with insulin infusion had a lower risk of severe disease than patients without insulin infusion.

CONCLUSIONS

Insulin infusion may be an effective method for achieving glycemic targets and improving outcomes in patients with COVID-19.

Use of incretin-based therapy in hospitalized patients with hyperglycemia

OBJECTIVE

Hyperglycemia is common in hospitalized patients with and without prior history of diabetes and is an independent marker of morbidity and mortality in critically and noncritically ill patients. Tight glycemic control using insulin has been shown to reduce cardiac morbidity and mortality in hospitalized patients, but it also results in hypoglycemic episodes, which have been linked to poor outcomes. Thus, alternative treatment options that can normalize blood glucose levels without undue hypoglycemia are being sought. Incretin-based therapies, such as glucagon-like peptide (GLP)-1 receptor agonists (RAs) and dipeptidyl peptidase (DPP)-4 inhibitors, may have this potential.

METHODS

A PubMed database was searched to find literature describing the use of incretins in hospital settings. Title searches included the terms "diabetes" (care, management, treatment), "hospital," "inpatient," "hypoglycemia," "hyperglycemia," "glycemic," "incretin," "dipeptidyl peptidase-4 inhibitor," "glucagon-like peptide-1," and "glucagon-like peptide-1 receptor agonist."

RESULTS

The preliminary research experience with native GLP-1 therapy has shown promise, achieving improved glycemic control with a low risk of hypoglycemia, counteracting the hyperglycemic effects of stress hormones, and improving cardiac function in patients with heart failure and acute ischemia. Large, randomized controlled clinical trials are necessary to determine whether these favorable results will extend to the use of GLP-1 RAs and DPP-4 inhibitors.

CONCLUSIONS

This review offers hospitalist physicians and healthcare providers involved in inpatient diabetes care a pathophysiologic-based approach for the use of incretin agents in patients with hyperglycemia and diabetes, as well as a summary of benefits and concerns of insulin and incretin-based therapy in the hospital setting.

Lower Glucose Target Is Associated With Improved 30-Day Mortality in Cardiac and Cardiothoracic Patients

BACKGROUND

Practice guidelines recommend against intensive insulin therapy in patients who are critically ill based on trials that had high rates of severe hypoglycemia. Intermountain Healthcare uses a computerized IV insulin protocol that allows choice of blood glucose (BG) targets (80-110 vs 90-140 mg/dL) and has low rates of severe hypoglycemia. We sought to study the effects of BG target on mortality in adult patients in cardiac ICUs that have very low rates of severe hypoglycemia.

METHODS

Critically ill patients receiving IV insulin were treated with either of two BG targets (80-110 vs 90-140 mg/dL). We created a propensity score for BG target using factors thought to have influenced clinicians' choice, and then we performed a propensity score-adjusted regression analysis for 30-day mortality.

RESULTS

There were 1,809 patients who met inclusion criteria. Baseline patient characteristics were similar. Median glucose was lower in the 80-110 mg/dL group (104 vs 122 mg/dL, P < .001). Severe hypoglycemia occurred at very low rates in both groups (1.16% vs 0.35%, P = .051). Unadjusted 30-day mortality was lower in the 80-110 mg/dL group (4.3% vs 9.2%, P < .001). This remained after propensity score-adjusted regression (OR, 0.65; 95% CI, 0.43-0.98; P = .04).

CONCLUSIONS

Tight glucose control can be achieved with low rates of severe hypoglycemia and is associated with decreased 30-day mortality in a cohort of largely patients in cardiac ICUs. Although such findings should not be used to guide clinical practice at present, the use of tight glucose control should be reexamined using a protocol that has low rates of severe hypoglycemia.

Comparison of Insulin Detemir and Insulin Glargine for Hospitalized Patients on a Basal-Bolus Protocol

BACKGROUND: The primary purpose of this study is to determine whether insulin detemir is equivalent to insulin glargine in controlling hyperglycemia for the adult hospitalized patient on a basal-bolus treatment regimen. METHODS: A retrospective study was conducted at two acute care hospitals within the same health system. Patients from both facilities who were initiated on a basal-bolus subcutaneous insulin regimen were included in the study. The basal-bolus regimen consisted of three components: basal, bolus, and corrective insulin with only the data from the first seven days analyzed. Once the basal-bolus protocol was initiated, all previous glycemic agents were discontinued. The target glycemic goal of the study was 100–180 mg/dL. RESULTS: In both groups, 50% of the patients had achieved the target glycemic control goal (100–180 mg/dL) by day 2 (p = 0.3). However, on the seventh or last day of basal-bolus treatment, whichever came first, 36.36% of patients receiving insulin detemir (n = 88) achieved the blood glucose reading goal compared to 52.00% in patients receiving insulin glargine (n = 100) (p = 0.03). This corresponded to an adjusted odds ratio of 2.12 (1.08 to 4.15), p = 0.03. The adjusting variables were provider type, whether the patient was hospitalized within 30 days prior and diagnosis of stroke. The mean blood glucose readings for the insulin glargine and the insulin detemir groups while on basal-bolus therapy were 200 mg/dL and 215 mg/dL, respectively (p = 0.05). The total number of blood glucose readings less than 70 mg/dL and less than 45 mg/dL was very low and there were no differences in number of episodes with hypoglycemia between the two groups. CONCLUSION: There was not a statistical difference between the two groups at 2 days, however there was on the seventh day or the last day of basal-bolus treatment. There were nonsignificant hypoglycemia events between basal insulin groups and the results for the last or seventh day of treatment may not be clinically significant in practice.

Sliding-scale insulin used for blood glucose control: a meta-analysis of randomized controlled trials

BACKGROUND

Sliding-scale insulin has been widely used in treating inpatient hyperglycemia. A systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted to evaluate the efficacy and possible adverse effects of sliding-scale insulin in hospitalized patients.

METHODS

PubMed, EMBASE, Cochrane Library, Scopus, and ClinicalTrials.gov registry were searched for studies published up to May 2015. Individual effect sizes were standardized, and a meta-analysis was performed to calculate a pooled effect size using random effects models.

RESULTS

Eleven RCTs containing a total of 1322 patients were identified. Among eight studies in which the RISS was compared with other regimens, no significant difference was observed in the percentage of patients who achieved the mean blood glucose level between the two groups, which was determined according to the numbers of blood samples (RR: 2.84; 95% CI: 0.94 to 8.59) and patients (RR: 1.75; 95% CI: 0.86 to 3.55). The mean blood glucose level (weighted mean difference=27.33, 95% CI: 14.74 to 39.92) and incidence of hyperglycemic events were significantly higher in the RISS group than in the non-sliding-scale group. No significant difference in the incidence of severe hypoglycemia and length of hospitalization between the groups was identified.

CONCLUSIONS

The overall results of the meta-analysis indicated that applying the RISS alone or in combination with other antidiabetic medications did not provide any benefits in blood glucose control, but was accompanied by an increased incidence of hyperglycemic events. Therefore, we suggest that the use of sliding-scale insulin be discontinued in hospitals.

Hyperglycemia in Critically Ill Patients: Management and Prognosis

Introduction:

Hyperglycemia is a common complication of critical illness. Patients in intensive care unit with stress hyperglycemia have significantly higher mortality (31%) compared to patients with previously confirmed diabetes (10%) or normoglycemia (11.3%). Stress hyperglycemia is associated with increased risk of critical illness polyneuropathy (CIP) and prolonged mechanical ventilation. Intensive monitoring and insulin therapy according to the protocol are an important part of the treatment of critically ill patients.

Objective:

To evaluate the incidence of stress hyperglycemia, complications and outcome in critically ill patients in our Medical intensive care unit.

Materials and methods:

This study included 100 patients hospitalized in Medical intensive care unit during the period January 2014–March 2015 which were divided into three groups: Diabetes mellitus, stress-hyperglycemia and normoglycemia. During the retrospective-prospective observational clinical investigation the following data was obtained: age, gender, SAPS, admission diagnosis, average daily blood glucose, highest blood glucose level, glycemic variability, vasopressor and corticosteroid therapy, days on mechanical ventilation, total days of hospitalization in Medical intensive care unit, and outcome.

Results:

Patients with DM treated with a continuous insulin infusion did not have significantly more complications than patients with normoglycemia, unlike patients with stress hyperglycemia, which had more severe prognosis. There was a significant difference between the maximum level of blood glucose in recovered and patients with adverse outcome (p = 0.0277). Glycemic variability (difference between max. and min. blood glucose) was the strongest predictor of adverse outcome. The difference in glycemic variability between the stress-hyperglycemia and normoglycemic group was statistically significant (p = 0.0066). There was no statistically significant difference in duration of mechanical ventilation and total days of hospitalization in the intensive care unit between the groups.

Conclusion:

Understanding of the objectives of glucose regulation and effective glycemic control is essential for the proper optimization of patient outcomes.

Transitioning safely from intravenous to subcutaneous insulin

The transition from intravenous (IV) to subcutaneous (SQ) insulin in the hospitalized patient with diabetes or hyperglycemia is a key step in patient care. This review article suggests a stepwise approach to the transition in order to promote safety and euglycemia. Important components of the transition include evaluating the patient and clinical situation for appropriateness, recognizing factors that influence a safe transition, calculation of proper SQ insulin doses, and deciding the appropriate type of SQ insulin. This article addresses other clinical situations including the management of patients previously on insulin pumps and recommendations for patients requiring glucocorticoids and enteral tube feedings. The use of institutional and computerized protocols is discussed. Further research is needed regarding the transition management of subgroups of patients such as those with type 1 diabetes and end-stage renal disease.

Sliding-scale versus basal-bolus insulin in the management of severe or acute hyperglycemia in type 2 diabetes patients: a retrospective study

Sliding-scale and basal-bolus insulin regimens are two options available for the treatment of severe or acute hyperglycemia in type 2 diabetes mellitus patients. Although its use is not recommended, sliding-scale insulin therapy is still being used widely. The aims of the study were to compare the glycemic control achieved by using sliding-scale or basal-bolus regimens for the management of severe or acute hyperglycemia in patients with type 2 diabetes and to analyze factors associated with the types of insulin therapy used in the management of severe or acute hyperglycemia. This retrospective study was conducted using the medical records of patients with acute or severe hyperglycemia admitted to a hospital in Malaysia from January 2008 to December 2012. A total of 202 patients and 247 admissions were included. Patients treated with the basal-bolus insulin regimen attained lower fasting blood glucose (10.8±2.3 versus 11.6±3.5 mmol/L; p = 0.028) and mean glucose levels throughout severe/acute hyperglycemia (12.3±1.9 versus 12.8±2.2; p = 0.021) compared with sliding-scale insulin regimens. Diabetic ketoacidosis (p = 0.043), cardiovascular diseases (p = 0.005), acute exacerbation of bronchial asthma (p = 0.010), and the use of corticosteroids (p = 0.037) and loop diuretics (p = 0.016) were significantly associated with the type of insulin regimen used. In conclusion, type 2 diabetes patients with severe and acute hyperglycemia achieved better glycemic control with the basal-bolus regimen than with sliding-scale insulin, and factors associated with the insulin regimen used could be identified.