American Association of Clinical Endocrinologists and American Diabetes Association consensus statement on inpatient glycemic control

Insulin Management of Patients with Inadequately Controlled Type 2 Diabetes Admitted to Hospital: Titration Patterns and Frequency of Hypoglycemia as Results of a Prospective Observational Study (Hospital Study)

INTRODUCTION

Despite the continuously growing number of therapeutic options for type 2 diabetes mellitus (T2DM) including insulins, a large percentage of patients fail to achieve HbA1c targets. Several real-world studies focused on patients with T2DM receiving insulin treatment in outpatient settings were conducted, but information about real-world in-hospital insulin management is lacking. The aim of this study was to describe the management of insulin therapy with a focus on basal-bolus and premixed insulin regimens in patients with T2DM under routine in-hospital medical practice in the Czech Republic.

METHODS

This non-interventional prospective study was conducted from June 2014 to December 2017 in 22 centers in the Czech Republic under routine clinical practice conditions. Adult patients admitted to hospital with metabolically uncontrolled T2DM [HbA1c ≥ 60 mmol/mol; > 7.6% Diabetes Control and Complications Trial (DCCT)] and there treated with basal-bolus and premixed insulin regimens were documented during hospitalization.

RESULTS

Overall, 369 patients with T2DM (54.7% male, mean age 64.44 ± 13.84 years, BMI 31.10 ± 6.00 kg/m², duration of diabetes 8.11 ± 9.93 years, HbA1c 95.90 ± 24.38 mmol/mol, length of stay was 7.94 ± 4.53 days) were included. The percentage of glucose values under 10 mmol/l at time of randomization (the group with basal-bolus insulin regimen vs. the premix insulin regimen group) was 24.2% vs. 33.5% (p = 0.053), at time of first insulin dose adjustment it was 43.1% vs. 50.0% (p = 0.330), and 1 day before hospital discharge it was 61.7% vs. 61.4% (p = 0.107). A hypoglycemic event occurred in a total of 15 patients in the basal-bolus regimen group, and no hypoglycemic event occurred in the premixed insulin regimen group.

CONCLUSION

In-hospital insulin management regarding basal-bolus and premixed insulin regimens is safe and in concordance with current international recommendations.

Dynamic changes in insulin requirements with post-operative time using bedside artificial pancreas to maintain normoglycemia without hypoglycemia after cardiac surgery

It is difficult to manage postoperative blood glucose levels without hyperglycemia and hypoglycemia in cardiac surgery patients even if continuous intravenous insulin infusion is used. Therefore, the insulin requirements for maintaining normoglycemia may be difficult to evaluate and need to be elucidated. In this single-center retrospective study, 30 adult patients (age 71.5 ± 9.0 years old, men 67%, BMI 22.0 ± 3.1 kg/m², diabetes 33%) who underwent cardiac surgery and used bedside artificial pancreas (STG-55) as a perioperative glycemic control were included. We investigated the insulin and glucose requirements to maintain normoglycemia until the day after surgery. The bedside artificial pancreas achieved intensive glycemic control without hypoglycemia under fasting conditions for 15 h after surgery (mean blood glucose level was 103.3 ± 3.1 mg/dL and percentage of time in range (70-140 mg/dL) was 99.4 ± 2.0%). The total insulin requirement for maintaining normoglycemia differed among surgical procedures, including the use of cardiopulmonary bypass during surgery, while it was not affected by age, body mass index, or the capacity of insulin secretion. Moreover, the mean insulin requirement and the standard deviation of the insulin requirements were variable and high, especially during the first several hours after surgery. Treatment using the bedside artificial pancreas enabled intensive postoperative glycemic control without hypoglycemia. Furthermore, the insulin requirements for maintaining normoglycemia after cardiac surgery vary based on surgical strategies and change dynamically with postoperative time, even in the short term.

An open source tool to compute measures of inpatient glycemic control: translating from healthcare analytics research to clinical quality improvement

Objectives

The objective of this study is to facilitate monitoring of the quality of inpatient glycemic control by providing an open-source tool to compute glucometrics. To allay regulatory and privacy concerns, the tool is usable locally; no data are uploaded to the internet.

Materials and Methods

We extended code, initially developed for healthcare analytics research, to serve the clinical need for quality monitoring of diabetes. We built an application, with a graphical interface, which can be run locally without any internet connection.

Results

We verified that our code produced results identical to prior work in glucometrics. We extended the prior work by including additional metrics and by providing user customizability. The software has been used at an academic healthcare institution.

Conclusion

We successfully translated code used for research methods into an open source, user-friendly tool which hospitals may use to expedite quality measure computation for the management of inpatients with diabetes.

Liraglutide hospital discharge trial: A randomized controlled trial comparing the safety and efficacy of liraglutide versus insulin glargine for the management of patients with type 2 diabetes after hospital discharge

AIM

To compare a glucagon-like peptide-1 receptor agonist with basal insulin at hospital discharge in patients with uncontrolled type 2 diabetes in a randomized clinical trial.

METHODS

A total of 273 patients with glycated haemoglobin (HbA1c) 7%-10% (53-86 mol/mol) were randomized to liraglutide (n = 136) or insulin glargine (n = 137) at hospital discharge. The primary endpoint was difference in HbA1c at 12 and 26 weeks. Secondary endpoints included hypoglycaemia, changes in body weight, and achievement of HbA1c <7% (53 mmol/mol) without hypoglycaemia or weight gain.

RESULTS

The between-group difference in HbA1c at 12 weeks and 26 weeks was -0.28% (95% CI -0.64, 0.09), and at 26 weeks it was -0.55%, (95% CI -1.01, -0.09) in favour of liraglutide. Liraglutide treatment resulted in a lower frequency of hypoglycaemia <3.9 mmol/L (13% vs 23%; P = 0.04), but there was no difference in the rate of clinically significant hypoglycaemia <3.0 mmol/L. Compared to insulin glargine, liraglutide treatment was associated with greater weight loss at 26 weeks (-4.7 ± 7.7 kg vs -0.6 ± 11.5 kg; P < 0.001), and the proportion of patients with HbA1c <7% (53 mmol/mol) without hypoglycaemia was 48% versus 33% (P = 0.05) at 12 weeks and 45% versus 33% (P = 0.14) at 26 weeks in liraglutide versus insulin glargine. The proportion of patients with HbA1c <7% (53 mmol/mol) without hypoglycaemia and no weight gain was higher with liraglutide at 12 (41% vs 24%, P = 0.005) and 26 weeks (39% vs 22%; P = 0.014). The incidence of gastrointestinal adverse events was higher with liraglutide than with insulin glargine (P < 0.001).

CONCLUSION

Compared to insulin glargine, treatment with liraglutide at hospital discharge resulted in better glycaemic control and greater weight loss, but increased gastrointestinal adverse events.

Lack of recognition and documentation of stress hyperglycemia is a disruptor of optimal continuity of care

Stress hyperglycemia (SH) is a manifestation of altered glucose metabolism in acutely ill patients which worsens outcomes and may represent a risk factor for diabetes. Continuity of care can assess this risk, which depends on quality of hospital clinical documentation. We aimed to determine the incidence of SH and documentation tendencies in hospital discharge summaries and continuity notes. We retrospectively examined diagnoses during a 12-months period. A 3-months representative sample of discharge summaries and continuity clinic notes underwent manual abstraction. Over 12-months, 495 admissions had ≥ 2 blood glucose measurements ≥ 10 mmol/L (180 mg/dL), which provided a SH incidence of 3.3%. Considering other glucose states suggestive of SH, records showing ≥ 4 blood glucose measurements ≥ 7.8 mmol/L (140 mg/dL) totaled 521 admissions. The entire 3-months subset of 124 records lacked the diagnosis SH documentation in discharge summaries. Only two (1.6%) records documented SH in the narrative of hospital summaries. Documentation or assessment of SH was absent in all ambulatory continuity notes. Lack of documentation of SH contributes to lack of follow-up after discharge, representing a disruptor of optimal care. Activities focused on improving quality of hospital documentation need to be integral to the education and competency of providers within accountable health systems.

The Role of Oxidative Stress in Hypertensive Disorders of Pregnancy (Preeclampsia, Gestational Hypertension) and Metabolic Disorder of Pregnancy (Gestational Diabetes Mellitus)

Purpose of the Review.To highlight the role of oxidative stress in hypertensive disorders of pregnancy (HDP) and metabolic disorders of pregnancy (gestational diabetes mellitus). Recent Findings. In both preeclampsia (PE) and gestational hypertension (GH), oxidative stress leads to inadequate placental perfusion thus resulting in a hypoxic placenta, which generally leads to the activation of maternal systemic inflammatory response. In PE, this causes inflammation in the kidneys and leads to proteinuria. A proteinuria marker known as urinary 8-oxoGuo excretion is expressed in preeclampsia. In GDM, oxidative stress plays a role in the pathogenesis of the disease, as a result of over secretion of insulin during pregnancy. This uncontrolled secretion of insulin results in the production of lipid peroxidation factors that also mask the secretion of antioxidants. Therefore, ROS becomes abundant at cellular level and prevents the cells from transporting glucose to body tissues. Summary. There is a need for more research investigating the role of oxidative stress, especially in obstetrics-related conditions. More studies are required in order to understand the difference between the pathogenesis and pathophysiology of PE versus GH since investigations on the differences in genetic aspects of each condition are lacking. Furthermore, research to improve diagnostic procedures for GDM in pregnancy is needed.

Safe care for people with diabetes in hospital

Diabetes is the most prevalent long-term condition, occurring in approximately 6.5% of the UK population. However, an average of 18% of all acute hospital beds are occupied by someone with diabetes. Having diabetes in hospital is associated with increased harm - however that may be defined. Over the last few years the groups such as the Joint British Diabetes Societies for Inpatient Care have produced guidelines to help medical and nursing staff manage inpatients with diabetes. These guidelines have been rapidly adopted across the UK. The National Diabetes Inpatient Audit has shown that over the last few years the care for people with diabetes has slowly improved, but there remain challenges in terms of providing appropriate staffing and education. Patient safety is paramount, and thus there remains a lot to do to ensure this vulnerable group of people are not at increased risk of harm.

The Queensland Inpatient Diabetes Survey (QuIDS) 2019: the bedside audit of practice

OBJECTIVES

To assess the quality of care for patients with diabetes in Queensland hospitals, including blood glucose control, rates of hospital-acquired harm, the incidence of insulin prescription and management errors, and appropriate foot and peri-operative care.

DESIGN, SETTING

Cross-sectional audit of 27 public hospitals in Queensland: four of five tertiary/quaternary referral centres, four of seven large regional or outer metropolitan hospitals, seven of 13 smaller outer metropolitan or small regional hospitals, and 12 of 88 hospitals in rural or remote locations.

PARTICIPANTS

850 adult inpatients with diabetes mellitus in medical, surgical, mental health, high dependency, or intensive care wards.

RESULTS

Twenty-seven of 115 public hospitals that admit acute inpatients participated in the audit, including 4175 of 6652 eligible acute hospital beds in Queensland. A total of 1003 patients had diabetes (24%), and data were collected for 850 (85%). Their mean age was 65.9 years (SD, 15.1 years), 357 were women (42%), and their mean HbA_1c level was 66 mmol/mol (SD, 26 mmol/mol). Rates of good diabetes days (appropriate monitoring, no more than one blood glucose measurement greater than 10 mmol/L, and none below 5 mmol/L) were low in patients with type 1 diabetes (22.1 per 100 patient-days) or type 2 diabetes treated with insulin (40.1 per 100 patient-days); hypoglycaemia rates were high for patients with type 1 diabetes mellitus (24.1 episodes per 100 patient-days). One or more medication errors were identified for 201 patients (32%), including insulin prescribing errors for 127 patients (39%). Four patients with type 1 diabetes experienced diabetic ketoacidosis in hospital (8%); 121 patients (14%) met the criteria for review by a specialist diabetes team but were not reviewed by any diabetes specialist (medical, nursing, allied health).

CONCLUSIONS

We identified several deficits in inpatient diabetes management in Queensland, including high rates of medication error and hospital-acquired harm and low rates of appropriate glycaemic control, particularly for patients treated with insulin. These deficits require attention, and ongoing evaluation of outcomes is necessary.

A prospective randomized trial comparing computerized columnar insulin dosing chart (the Atlanta protocol) versus the joint British diabetes societies for inpatient care protocol in management of hyperglycemia in patients with acute coronary syndrome admitted to cardiac care unit in Alexandria, Egypt

BACKGROUND

Hyperglycemia in acute coronary syndrome (ACS) is linked to raised morbidity and mortality. Insulin administration using insulin infusion protocols (IIP) is the preferred strategy to control hyperglycemia in critically ill patients. To date, no specific IIP has been identified as the most efficient for achieving glycemic control.

AIM

to compare glycemic achievements (safety) (primary objective), and coronary and other clinical outcomes (efficacy) (secondary objective) by hyperglycemia management in Cardiac Care Unit (CCU) using computerized Atlanta Protocol (Group (I)) versus paper-based Joint British Diabetes Societies (JBDS) For Inpatient Care Protocol (Group (II)).

PATIENTS AND METHODS

The study was done on 100 ACS patients admitted to Alexandria Main University hospital CCU with RBG >180 mg/dL. They were randomized into the 2 groups in a 1:1 ratio. CBG was measured hourly for 72 hours and was managed by IV insulin infusion.

RESULTS

Group (I) showed statistically significant less mean time for target BG achievement (3.52 ± 1.53hours), lower incidence of Level 1 hypoglycemia (2%) than Group (II) (4.76 ± 2.33 hours, 22%, p = 0.013, 0.002 respectively) and statistically significant less mean number of episodes above the glycemic target after its achievement than Group (II) (p < 0.001). Regarding Level 2 hypoglycemia the difference was not significant statistically.

CONCLUSION

Both protocols successfully maintained target BG level with low incidence of clinically significant hypoglycemia, however, the computerized Atlanta protocol achieved better glycemic outcomes. We recommend the use of the computerized Atlanta protocol in CCU rather than JBDS for Inpatient Care Protocol whenever this is feasible.

Using a Diabetes Risk Score to Identify Patients Without Diabetes at Risk for New Hyperglycemia in the Hospital

OBJECTIVE

To assess the value of a validated diabetes risk test, the Cambridge Risk Score (CRS), to identify patients admitted to hospital without diabetes at risk for new hyperglycemia (NH).

METHODS

This retrospective cross-sectional study included adults admitted to a hospital over a 4-year period. Patients with no diabetes diagnosis and not on antidiabetics were included. The CRS was calculated for each patient, and those with available glycated hemoglobin (HbA1C) results were investigated in a second analysis. Multivariate regression analyses were performed to assess the association among CRS, HbA1C, and the risk for NH.

RESULTS

A total of 19,830 subjects comprised the sample, of which 38% were found to have developed NH, defined as a blood glucose level ≥140 mg/dL. After accounting for covariates, the CRS was significantly associated with NH (odds ratio [OR], 1.19 [1.16, 1.22]; P < .001). Only 17% of patients had their HbA1C values checked within 6 months of admission. Compared with patients without diabetes, patients with prediabetes based on their HbA1C level (OR, 1.59 [1.37, 1.86]; P < .001) and patients with undiagnosed diabetes (OR, 5.95 [3.50, 10.65]; P < .001) were also significantly more likely to have NH.

CONCLUSION

Results of this study show that the CRS and HbA1C levels were significantly associated with the risk of developing NH in inpatient adults without diabetes. Given that an HbA1C level was missing in most medical records of hospitalized patients without diabetes, the CRS could be a useful tool for early identification and management of NH, possibly leading to better outcomes.

GlucoSTRESS - A project to optimize glycemic control in a level C (III) Portuguese intensive care unit

Objective

To double the percentage of time within the 100 - 180mg/dL blood glucose range in the first three months following a phased implementation of a formal education program, and then, of an insulin therapy protocol, without entailing an increased incidence of hypoglycemia.

Methods

The pre-intervention glycemic control was assessed retrospectively. Next, were carried out the implementation of a formal education program, distribution of manual algorithms for intravenous insulin therapy - optimized by the users, based on the modified Yale protocol - and informal training of the nursing staff. The use of electronic blood glucose control systems was supported, and the results were recorded prospectively.

Results

The first phase of the program (formal education) lead to improvement of the time within the euglycemic interval (28% to 37%). In the second phase, euglycemia was achieved 66% of the time, and the incidence of hypoglycemia was decreased. The percentage of patients on intravenous insulin infusion at 48 hours from admission increased from 6% to 35%.

Conclusion

The phased implementation of a formal education program, fostering the use of electronic insulin therapy protocols and dynamic manuals, received good adherence and has shown to be safe and effective for blood glucose control in critically ill patients, with a concomitant decrease in hypoglycemia.

Copeptin and stress-induced hyperglycemia in critically ill patients: A prospective study

Objectives

Copeptin, an equimolar indicator of serum antidiuretic hormone levels, has been associated with higher mortality in critically ill patients and with the development of diabetes in the general population. The aim of the present study was to investigate the association of copeptin levels with glycemic parameters in critically ill patients and to compare the time-course of copeptin in survivors and non-survivors.

Design

Prospective cohort study.

Patients

From June to October 2019, critically ill patients were prospectively enrolled and followed for 90 days.

Measurements

Plasma copeptin levels were determined at intensive care unit (ICU) admission (copeptin T1), 24 h (copeptin T2), and 48 h (copeptin T3) after study entry. Blood glucose and glycated hemoglobin levels were measured. ICU, in-hospital, and 90-day mortality, and length of stay in the ICU and hospital were evaluated.

Results

104 patients were included. No significant correlation was detected between copeptin levels and blood glucose (r = -0.17, p = 0.09), HbA1c (r = 0.01, p = 0.9), glycemic gap (r = -0.16, p = 0.11), and stress hyperglycemia ratio (r = -0.14, p = 0.16). Copeptin T3 levels were significantly higher in survivors than in non-survivors at hospital discharge (561 [370–856] vs 300 [231–693] pg/mL, p = 0.015) and at 90 days (571 [380–884] vs 300 [232–698] pg/mL, p = 0.03).

Conclusions

No significant correlations were found between copeptin levels and glycemic parameters, suggesting that copeptin is not a relevant factor in the induction of hyperglycemia during critical illness. Copeptin levels at ICU day 3 were higher in survivors than in non-survivors.

Associations between preoperative anaemia and hospital costs following major abdominal surgery: cohort study

Background

Determining the cost-effectiveness and sustainability of patient blood management programmes relies on quantifying the economic burden of preoperative anaemia. This retrospective cohort study aimed to evaluate the hospital costs attributable to preoperative anaemia in patients undergoing major abdominal surgery.

Methods

Patients who underwent major abdominal surgery between 2010 and 2018 were included. The association between preoperative patient haemoglobin (Hb) concentration and hospital costs was evaluated by curve estimation based on the least-square method. The in-hospital cost of index admission was calculated using an activity-based costing methodology. Multivariable regression analysis and propensity score matching were used to estimate the effects of Hb concentration on variables related directly to hospital costs.

Results

A total of 1286 patients were included. The median overall cost was US $18 476 (i.q.r.13 784–27 880), and 568 patients (44.2 per cent) had a Hb level below 13.0 g/dl. Patients with a preoperative Hb level below 9.0 g/dl had total hospital costs that were 50.6 (95 per cent c.i. 14.1 to 98.9) per cent higher than those for patients with a preoperative Hb level of 9.0–13.0 g/dl (P < 0.001), 72.5 (30.6 to 128.0) per cent higher than costs for patients with a Hb concentration of 13.1–15.0 g/dl (P < 0.001), and 62.4 (21.8 to 116.7) per cent higher than those for patients with a Hb level greater than 15.0 g/dl (P < 0.001). Multivariable general linear modelling showed that packed red blood cell (PRBC) transfusions were a principal cost driver in patients with a Hb concentration below 9.0 g/dl.

Conclusion

Patients with the lowest Hb concentration incurred the highest hospital costs, which were strongly associated with increased PRBC transfusions. Costs and possible complications may be decreased by treating preoperative anaemia, particularly more severe anaemia.

Association Between Bariatric Surgery and Major Adverse Diabetes Outcomes in Patients With Diabetes and Obesity

IMPORTANCE

There are high-quality randomized clinical trial data demonstrating the effect of bariatric surgery on type 2 diabetes remission, but these studies are not powered to study mortality in this patient group. Large observational studies are warranted to study the association of bariatric surgery with mortality in patients with type 2 diabetes.

OBJECTIVE

To determine the association between bariatric surgery and all-cause mortality among patients with type 2 diabetes and severe obesity.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective, population-based matched cohort study included patients with type 2 diabetes and body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) 35 or greater who underwent bariatric surgery from January 2010 to December 2016 in Ontario, Canada. Multiple linked administrative databases were used to define confounders, including age, baseline BMI, sex, comorbidities, duration of diabetes diagnosis, health care utilization, socioeconomic status, smoking status, substance abuse, cancer screening, and psychiatric history. Potential controls were identified from a primary care electronic medical record database. Data were analyzed in 2020.

EXPOSURE

Bariatric surgery (gastric bypass and sleeve gastrectomy) and nonsurgical management of obesity provided by the primary care physician.

MAIN OUTCOMES AND MEASURES

The primary outcome was all-cause mortality. Secondary outcomes were cause-specific mortality and nonfatal morbidities. Groups were compared through a multivariable Cox proportional Hazards model.

RESULTS

A total of 6910 patients (mean [SD] age at baseline, 52.04 [9.45] years; 4950 [71.6%] women) were included, with 3455 patients who underwent bariatric surgery and 3455 match controls and a median (interquartile range) follow-up time of 4.6 (3.22-6.35) years. In the surgery group, 83 patients (2.4%) died, compared with 178 individuals (5.2%) in the control group (hazard ratio [HR] 0.53 [95% CI, 0.41-0.69]; P < .001). Bariatric surgery was associated with a 68% lower cardiovascular mortality (HR, 0.32 [95% CI, 0.15-0.66]; P = .002) and a 34% lower rate of composite cardiac events (HR, 0.68 [95% CI, 0.55-0.85]; P < .001). Risk of nonfatal renal events was also 42% lower in the surgical group compared with the control group (HR, 0.58 [95% CI, 0.35-0.95], P = .03). Of the groups that had the highest absolute benefit associated with bariatric surgery, men had an absolute risk reduction (ARR) of 3.7% (95% CI, 1.7%-5.7%), individuals with more than 15 years of diabetes had an ARR of 4.3% (95% CI, 0.8%-7.8%), and individuals aged 55 years or older had an ARR of 4.7% (95% CI, 3.0%-6.4%).

CONCLUSIONS AND RELEVANCE

These findings suggest that bariatric surgery was associated with reduced all-cause mortality and diabetes-specific cardiac and renal outcomes in patients with type 2 diabetes and severe obesity.

The effect of diabetes on major robotic hepatectomy

Studies regarding the influence of diabetes on perioperative outcomes after major hepatectomy are conflicting. The objective of this study is to analyze the effects of diabetes on patients undergoing robotic major hepatectomy. With Institutional Review Board (IRB) approval, 94 patients undergoing major hepatectomy were prospectively followed. Demographic data and postoperative outcomes were analyzed and compared between diabetic and non-diabetic patients. Data were presented as median (mean ± SD). Patients were of age 62 (61 ± 13.0) years, BMI of 29 (29 ± 5.9) kg/m², and ASA class of 3 (3 ± 0.55). The mass size was 5 (5 ± 3.0) cm. Operative duration was 252 (277 ± 106.6) min with estimated blood loss (EBL) was 175 (249 ± 275.9) mL. One operation was converted to 'open' due to bleeding, accounting for one intraoperative complication. Postoperatively, nine patients required ICU admission, with a duration of 1 (4 ± 5.9) day. Seven patients had postoperative complications. Length of stay (LOS) was 4 (4 ± 2.6) days. Fourteen patients were readmitted within 30 days. There were no deaths in-hospital or within 30 days. Of the 94 patients, 22 were diabetic and 72 were nondiabetic. Diabetic patients were older (70 (69 ± 11.3) years versus 58 (58 ± 12.4) years (p = 0.004)). Intraoperatively, operative duration, EBL, and complications were not significantly different. Postoperatively, LOS, ICU admission, ICU duration, complications, in-hospital mortality, readmission in 30 days, and death after 30 days showed no significant difference between diabetics and nondiabetics. In our experience, diabetes has no significant effect on perioperative outcomes after a robotic major hepatectomy.

Clinical features resembling subcutaneous insulin resistance observed in a patient with type 2 diabetes and severe COVID-19-associated pneumonia: a case report

We report the case of a 52-year-old hyperglycemic woman with type 2 diabetes and severe coronavirus disease 2019 (COVID-19)-associated pneumonia, possibly involving the subcutaneous insulin resistance (SIR) syndrome. After admission for pneumonia, her average daily blood glucose (BG) levels remained at 300-400 mg/dL, although the required dosage of subcutaneous insulin markedly increased (~ 150 units/day; ~ 2.63 units/kg/day). Furthermore, the patient had generalized edema along with hypoalbuminemia, developed extensive abdominal purpuras, and had increased plasma D-dimer levels during treatment, suggestive of coagulation abnormalities. Therefore, intravenous infusion of regular insulin was initiated. The BG level subsequently decreased to < 200 mg/dL 2 days after administering 18 units/day of insulin infusion and 118 units/day of subcutaneous insulin, suggesting that subcutaneous insulin alone might have been ineffective in reducing hyperglycemia, which is clinically consistent with the characteristics of an SIR syndrome. Impaired skin microcirculation arising from coagulation abnormalities, subcutaneous edema associated with inflammation-related hypoalbuminemia or vascular hyperpermeability, and/or reduction in subcutaneous blood flow due to COVID-19-induced downregulation of angiotensin-converting enzyme 2 might be associated with the development of pathological conditions that resemble SIR syndrome, leading to impaired subcutaneous insulin absorption.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13340-021-00500-x.

Monitoring the Impact of Aggressive Glycemic Intervention during Critical Care after Cardiac Surgery with a Glycemic Expert System for Nurse-Implemented Euglycemia: The MAGIC GENIE Project

A novel, multi-dimensional protocol named GENIE has been in use for intensive insulin therapy (IIT, target glucose <140 mg/dL) in the surgical intensive care unit (SICU) after open heart surgery (OHS) at VA Pittsburgh since 2005. Despite concerns over increased mortality from IIT after the publication of the NICE-SUGAR Trial, it remains in use, with ongoing monitoring under the MAGIC GENIE Project showing that GENIE performance over 12 years (2005-2016) aligns with the current consensus that IIT with target blood glucose (BG) <140 mg/dL is advisable only if it does not provoke severe hypoglycemia (SH). Two studies have been conducted to monitor glucometrics and outcomes during GENIE use in the SICU. One compares GENIE (n = 382) with a traditional IIT protocol (FORMULA, n = 289) during four years of contemporaneous use (2005-2008). The other compares GENIE's impact overall (n = 1404) with a cohort of patients who maintained euglycemia after OHS (euglycemic no-insulin [ENo-I], n = 111) extending across 12 years (2005-2016). GENIE performed significantly better than FORMULA during contemporaneous use, maintaining lower time-averaged glucose, provoking less frequent, severe, prolonged, or repetitive hypoglycemia, and achieving 50% lower one-year mortality, with no deaths from mediastinitis (0 of 8 cases vs 4 of 9 on FORMULA). Those benefits were sustained over the subsequent eight years of exclusive use in OHS patients, with an overall one-year mortality rate (4.2%) equivalent to the ENo-I cohort (4.5%). The results of the MAGIC GENIE Project show that GENIE can maintain tight glycemic control without provoking SH in patients undergoing OHS, and may be associated with a durable survival benefit. The results, however, await confirmation in a randomized control trial.

Insulin Infusion Computer Calculator Programmed Directly Into Electronic Health Record Medication Administration Record

BACKGROUND

Computerized insulin infusion protocols have demonstrated higher staff satisfaction, better compliance with protocols, and increased time with glucose in range compared to paper protocols. At University of California San Diego Health (UCSDH), we implemented an insulin infusion computer calculator (IICC) and transitioned it from a web-based platform directly into the electronic medication administration record (eMAR) of our primary electronic health record (EHR).

METHODS

This is a retrospective analysis of 6306 adult patients at UCSDH receiving intravenous (IV) insulin infusion from March 7, 2013 to May 30, 2019. We created three periods of the study-(1) the pre-eMAR integration period; (2) the eMAR integration period; and (3) the post-eMAR integration period-and looked at the percentage of readings within goal range (90-150 mg/dL for intensive care unit [ICU], 90-180 mg/dL for non-ICU) in patients with and without hyperglycemic emergencies. As our safety endpoints, we elected to look at incidence of blood glucose (BG) readings <70 mg/dL, <54 mg/dL, and <40 mg/dL.

RESULTS

Pre-eMAR 69.8% of readings were in the 90-150 mg/dL range compared to 70.2% post-eMAR (P = .03) and 82.7% of readings were in the 90-180 mg/dL range pre-eMAR versus 82.9% (P = .09) post-eMAR in patients without hyperglycemic emergencies. Rates of hypoglycemia with BG <70 mg/dL were 0.43%, <54 mg/dL were 0.07%, and <40 mg/dL were 0.01% of readings pre- and post-eMAR.

CONCLUSIONS

At UCSDH, our IICC has shown to be safe and effective in a wide variety of clinical situations and we were able to successfully transition it from a web-based platform directly into the eMAR of our primary EHR.

Glycemic control and risk factors for in-hospital mortality and vascular complications after coronary artery bypass grafting in patients with and without preexisting diabetes

BACKGROUND

The purpose of this study was to investigate risk factors of in-hospital mortality and vascular complications after coronary artery bypass grafting (CABG), particularly the effect of different glycemic control levels on outcomes in patients with and without previous evidence of diabetes.

METHODS

A total of 8682 patients with and without previous diabetes undergoing CABG were categorized into strict, moderate, and liberal glucose control groups according to their mean blood glucose control level <7.8 mmol/L, 7.8 to 10.0 mmol/L, and ≥10.0 mmoL/L after in-hospital CABG.

RESULTS

The patients with previous diabetes had higher rates of in-hospital mortality (1.3% vs 0.4%, P < .001) and major complications (7.0% vs 4.8%, P < .001) than those without diabetes. Current diabetes was significantly associated with a higher risk of in-hospital mortality (odds ratio [OR] = 3.14, 95% confidence interval [CI] 1.87-5.27) and major complications (OR = 1.49, 95% CI 1.24-1.80), and smoking and higher low-density lipoprotein cholesterol (LDL-C) levels showed similar results. Among patients with previous diabetes, strict glucose control was significantly associated with an increased risk of in-hospital mortality (OR = 8.32, 95% CI 3.95-17.51) compared with moderate glucose control. Nevertheless, among non-previous diabetic patients with stress hyperglycemia, strict glucose control led to a lower risk of major complications (OR = 0.71, 95% CI 0.52-0.98).

CONCLUSIONS

Diabetes status, smoking, and LDL-C levels were modifiable risk factors of both in-hospital mortality and major complications after CABG. Strict glucose control was associated with an increased risk of in-hospital mortality among patients with diabetes, whereas it reduced the risk of major complications among non-previous diabetic patients.

Management of diabetes and hyperglycaemia in the hospital

Hyperglycaemia in people with and without diabetes admitted to the hospital is associated with a substantial increase in morbidity, mortality, and health-care costs. Professional societies have recommended insulin therapy as the cornerstone of inpatient pharmacological management. Intravenous insulin therapy is the treatment of choice in the critical care setting. In non-intensive care settings, several insulin protocols have been proposed to manage patients with hyperglycaemia; however, meta-analyses comparing different treatment regimens have not clearly endorsed the benefits of any particular strategy. Clinical guidelines recommend stopping oral antidiabetes drugs during hospitalisation; however, in some countries continuation of oral antidiabetes drugs is commonplace in some patients with type 2 diabetes admitted to hospital, and findings from clinical trials have suggested that non-insulin drugs, alone or in combination with basal insulin, can be used to achieve appropriate glycaemic control in selected populations. Advances in diabetes technology are revolutionising day-to-day diabetes care and work is ongoing to implement these technologies (ie, continuous glucose monitoring, automated insulin delivery) for inpatient care. Additionally, transformations in care have occurred during the COVID-19 pandemic, including the use of remote inpatient diabetes management-research is needed to assess the effects of such adaptations.

Hysterectomy Complications Relative to HbA1c Levels: Identifying a Threshold for Surgical Planning

STUDY OBJECTIVE

To evaluate whether diabetes diagnosis and level of diabetes control as reflected by higher preoperative glycosylated hemoglobin (HbA_1c) levels are associated with increased complication rates after hysterectomy and to identify a threshold of preoperative HbA_1c level past which we should consider delaying surgery owing to increased risk of complications.

DESIGN

Retrospective cohort study.

SETTING

Hospitals in the Michigan Surgical Quality Collaborative between June 4, 2012, and October 17, 2017.

PATIENTS

Women with and without a diabetes diagnosis.

INTERVENTIONS

Hysterectomy.

MEASUREMENTS AND MAIN RESULTS

Data on demographics, preoperative HbA_1c values, surgical approach, composite postoperative complications, readmissions, emergency department visits, and reoperations were abstracted. The risk of a postoperative complication when diabetes was stratified by preoperative HbA_1c level was evaluated in a sensitivity analysis, and independent associations were identified in a mixed, multivariate logistic regression model. We identified 41 286 hysterectomies performed at 70 hospitals to be included for analysis. The sensitivity analysis identified 4 groups of risk for postoperative complications: group 1: no diabetes diagnosis and no HbA_1c value; group 2: no diabetes diagnosis, with HbA_1c levels between 4% and 6.5%; group 3: diabetes diagnosis and no HbA_1c value or HbA_1c levels <9%; and group 4: diabetes diagnosis with HbA_1c levels ≥9%. In the adjusted model, there were significant 32% and 34% increased odds of postoperative complications for groups 2 and 3, respectively, compared with group 1. There were more than 2-fold increased odds of complications for women with diabetes and a preoperative HbA_1c level ≥9% (group 4) compared with the women in group 1. Diabetes diagnosis with preoperative HbA_1c levels ≥9% had increased odds of complications compared with diabetes diagnosis with preoperative HbA_1c levels <9%. Patients with well-controlled diabetes seemed to have increased odds of complications with laparoscopic surgery.

CONCLUSION

Diabetes diagnosis and measurement of preoperative HbA_1c levels provide risk stratification for postoperative complications after hysterectomy, with the highest observed effect among patients with diabetes with a preoperative HbA_1c level ≥9%.

[Diabetes mellitus in Anaesthesia - Optimal Blood Sugar Control in the Perioperative Phase]

Uncontrolled high blood sugar can be dangerous for diabetics throughout the perioperative period - in particular, when blood glucose levels exceed a threshold of 250 mg/dl or HbA_1c levels are higher than 8.5 - 9%. In such cases, all elective surgery should be withheld to minimize the risk of severe complications. Due to their cardiovascular comorbidities, diabetics are commonly overrepresented in hospitals, tend to require inpatient care for an extended period of time, and suffer from higher mortality rates. In order to reduce negative outcomes, blood glucose levels should be targeted to 140 - 180 mg/dl on intensive care units or during surgery. Current literature suggests that non-critically ill diabetics should be treated with rapid-acting insulin analogues subcutaneously in operating theatres, whereas critically ill patients should receive continuous intravenous insulin infusions using a standardized protocol. In summary, this review can give a hand in dealing with diabetics during the perioperative period and offers guidance in controlling blood sugar levels with the help of oral antidiabetic drugs and insulin.

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.

Outcomes and adverse effects of extremely high dose insulin infusions in ICU patients

PURPOSE

Describe the characteristics, hospital course, and outcomes of adult ICU patients receiving extremely high dose insulin infusions compared to those with lower insulin requirements.

MATERIALS AND METHODS

Retrospective observational study of 128 adult ICU patients receiving IV insulin infusions at a large academic medical center. Extremely high dose insulin infusions were defined as maximum rate ≥ 35 units/h. The primary endpoint was rate of hypoglycemia (BG < 70 mg/dL) and time to glucose control. A post-hoc matching analysis was performed for baseline imbalances.

RESULTS

Analysis included 32 patents with extremely high dose insulin infusions and 96 patients without, and most had a goal BG 100-150 mg/dL. Patients in the extreme group were more likely to have type 2 diabetes, a higher median hemoglobin A1c, preadmission insulin, be admitted for a medical reason, and receive inpatient steroids. The extreme group were more likely to experience hypoglycemia (<70 mg/dL, 63% v. 34%, p = 0.005), longer time to glucose control (19.8 h v. 5.7 h, p < 0.001) and higher mortality (34% v. 15%, p = 0.014).

CONCLUSIONS

ICU patients with extremely high dose insulin infusions had more hypoglycemia and took longer to achieve glucose targets compared to those with lower requirements. An individualized approach may be required for appropriate management.

Guideline-Concordant Insulin Infusion Initiation Among Critically Ill Patients With Sepsis

OBJECTIVE

Our objective was to benchmark rates of guideline-concordant insulin infusion initiation, identify factors associated with guideline-concordant insulin practices, and examine the association between hospital-level guideline concordance and mortality among critically ill patients with sepsis.

METHODS

We performed a multicenter retrospective cohort study of intensive care patients with sepsis who were eligible for insulin infusion initiation according to American Diabetes Association and Surviving Sepsis guidelines (persistent blood sugar ≥180 mg/dL). We then identified patients who were initiated on insulin infusions within 24 hours of eligibility. We examined patient- and hospital-level factors associated with guideline-concordant insulin infusion initiation and explored the association between the hospital-level proportion of patients who received guideline-concordant insulin infusions and hospital mortality.

RESULTS

Among 5453 guideline-eligible patients with sepsis, 13.4% were initiated on insulin infusions. Factors most strongly associated with guideline-concordant insulin infusion initiation were mechanical ventilation and hospital of admission. The hospital-level proportion of patients who received guideline-concordant insulin infusions were not associated with mortality. Among 1501 intensive care unit patients with sepsis who were started on insulin infusions, 37.0% were initiated at a blood glucose level below 180 mg/dL, the guideline-recommended starting threshold.

CONCLUSION

Guideline-concordant insulin infusion initiation was uncommon among patients with sepsis admitted to U.S. intensive care units and was determined in large part by hospital of admission. The degree to which hospitals were guideline-concordant were not associated with mortality.

Sitagliptin for the prevention and treatment of perioperative hyperglycaemia in patients with type 2 diabetes undergoing cardiac surgery: A randomized controlled trial

AIM

To assess whether treatment with sitagliptin, starting before surgery and continued during the hospital stay, can prevent and reduce the severity of perioperative hyperglycaemia in patients with type 2 diabetes undergoing coronary artery bypass graft (CABG) surgery.

MATERIALS AND METHODS

We conducted a double-blinded, placebo-controlled trial in adults with type 2 diabetes randomly assigned to receive sitagliptin or matching placebo starting 1 day prior to surgery and continued during the hospital stay. The primary outcome was difference in the proportion of patients with postoperative hyperglycaemia (blood glucose [BG] > 10 mmol/L [>180 mg/dL]) in the intensive care unit (ICU). Secondary endpoints included differences in mean daily BG in the ICU and after transition to regular wards, hypoglycaemia, hospital complications, length of stay and need of insulin therapy.

RESULTS

We included 182 participants randomized to receive sitagliptin or placebo (91 per group, age 64 ± 9 years, HbA1c 7.6% ± 1.5% and diabetes duration 10 ± 9 years). There were no differences in the number of patients with postoperative BG greater than 10 mmol/L, mean daily BG in the ICU or after transition to regular wards, hypoglycaemia, hospital complications or length of stay. There were no differences in insulin requirements in the ICU; however, sitagliptin therapy was associated with lower mean daily insulin requirements (21.1 ± 18.4 vs. 32.5 ± 26.3 units, P = .007) after transition to a regular ward compared with placebo.

CONCLUSION

The administration of sitagliptin prior to surgery and during the hospital stay did not prevent perioperative hyperglycaemia or complications after CABG. Sitagliptin therapy was associated with lower mean daily insulin requirements after transition to regular wards.

Association Between Achieving Inpatient Glycemic Control and Clinical Outcomes in Hospitalized Patients With COVID-19: A Multicenter, Retrospective Hospital-Based Analysis

OBJECTIVE

Diabetes and hyperglycemia are important risk factors for poor outcomes in hospitalized patients with coronavirus disease 2019 (COVID-19). We hypothesized that achieving glycemic control soon after admission, in both intensive care unit (ICU) and non-ICU settings, could affect outcomes in patients with COVID-19.

RESEARCH DESIGN AND METHODS

We analyzed pooled data from the Glytec national database including 1,544 patients with COVID-19 from 91 hospitals in 12 states. Patients were stratified according to achieved mean glucose category in mg/dL (≤7.77, 7.83-10, 10.1-13.88, and >13.88 mmol/L; ≤140, 141-180, 181-250, and >250 mg/dL) during days 2-3 in non-ICU patients or on day 2 in ICU patients. We conducted a survival analysis to determine the association between glucose category and hospital mortality.

RESULTS

Overall, 18.1% (279/1,544) of patients died in the hospital. In non-ICU patients, severe hyperglycemia (blood glucose [BG] >13.88 mmol/L [250 mg/dL]) on days 2-3 was independently associated with high mortality (adjusted hazard ratio [HR] 7.17; 95% CI 2.62-19.62) compared with patients with BG <7.77 mmol/L (140 mg/dL). This relationship was not significant for admission glucose (HR 1.465; 95% CI 0.683-3.143). In patients admitted directly to the ICU, severe hyperglycemia on admission was associated with increased mortality (adjusted HR 3.14; 95% CI 1.44-6.88). This relationship was not significant on day 2 (HR 1.40; 95% CI 0.53-3.69). Hypoglycemia (BG <70 mg/dL) was also associated with increased mortality (odds ratio 2.2; 95% CI 1.35-3.60).

CONCLUSIONS

Both hyperglycemia and hypoglycemia were associated with poor outcomes in patients with COVID-19. Admission glucose was a strong predictor of death among patients directly admitted to the ICU. Severe hyperglycemia after admission was a strong predictor of death among non-ICU patients.

The Effects of a Comprehensive Multidisciplinary Outpatient Diabetes Program on Hospital Readmission Rates in Patients with Diabetes: A Randomized Controlled Prospective Study

OBJECTIVE

The diagnosis of diabetes mellitus is associated with an increased risk of hospital readmissions. The goal of this study was to determine whether there was a difference in the rates of 30-day and 365-day hospital readmissions between diabetic patients who, upon their discharge, received diabetes care in a standard primary care setting and those who received their care in a specialized multidisciplinary diabetes program.

METHODS

This was a randomized controlled prospective study.

RESULTS

One hundred and ninety two consecutive patients were recruited into the study, 95 (49%) into standard care (control group) and 97 (51%) into a multidisciplinary diabetes program (intervention group). The 30-day overall hospital readmission rates (including both emergency department and hospital readmissions) were 19% in the control group and 7% in the intervention group (P = .02). The 365-day overall hospital readmission rates were 38% in the control group and 14% in the intervention group (P = .0002).

CONCLUSION

Patients with diabetes who are assigned to a specialized multidisciplinary diabetes program upon their discharge exhibit significantly reduced hospital readmission rates at 30 days and 365 days after discharge.

Association Between Longitudinal Change in Abnormal Fasting Blood Glucose Levels and Outcome of COVID-19 Patients Without Previous Diagnosis of Diabetes

This retrospective study examined changes in fasting blood glucose (FBG) levels during hospitalization and their effect on risk of death for Coronavirus disease 2019 (COVID-19) patients without previously diagnosed diabetes. A model with low- and high-stable pattern trajectories was established based on a longitudinal change in FBG levels. We analyzed FBG trajectory-associated clinical features and risk factors for death due to COVID-19. Of the 230 enrolled patients, 44 died and 87.83% had a low-stable pattern (average FBG range: 6.63-7.54 mmol/L), and 12.17% had a high-stable pattern (average FBG range: 12.59-14.02 mmol/L). There were statistical differences in laboratory findings and case fatality between the two FBG patterns. Multivariable logistic regression analysis showed that increased neutrophil count (odds ratio [OR], 25.43; 95% confidence interval [CI]: 2.07, 313.03), elevated direct bilirubin (OR, 5.80; 95%CI: 1.72, 19.58), elevated creatinine (OR, 26.69; 95% CI: 5.82, 122.29), lymphopenia (OR, 8.07; 95% CI: 2.70, 24.14), and high-stable FBG pattern (OR, 8.79; 95% CI: 2.39, 32.29) were independent risk factors for higher case fatality in patients with COVID-19 and hyperglycemia but no history of diabetes. FBG trajectories were significantly associated with death risk in patients with COVID-19 and no diabetes.

The impact of diabetology consultations on length of stay in hospitalized patients with diabetes

Introduction

Both hyperglycaemia and hypoglycaemia in hospitalized patients have been shown to be associated with a longer length of stay, higher readmission rates, and higher rates of morbidity and mortality. With 25%-30% of all hospitalized patients carrying a diagnosis of diabetes, it is important to optimize glycaemic control. Current guidelines for care of inpatients with diabetes now suggest consulting a specialized diabetes team for all patients when possible.

Aim

This study was a retrospective cohort study to evaluate the impact of an inpatient diabetology consult within 48 hours of admission on patients' length of stay.

Methods

All patients admitted to the general medicine service between 2013 and 2018 with a diagnosis of diabetes in their medical record were included, which consisted of 11 477 inpatient stays. We looked at the effect of an inpatient diabetology consultation within the first 48 hours on length of stay, complications and 30-day readmission rates.

Results

We found that patients whose care included a diabetology consult within 48 hours of admission had a statistically significant shorter length of stay by 1.56 days compared to the remainder of the group. There was no difference in complications or 30-day readmission rates between the groups.

Conclusion

Among general medicine patients with a diagnosis of diabetes, timely diabetology consultations reduced patients' length of stay and have the potential to improve their care and lessen the economic impact.

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.

Stress Hyperglycemia in Children and Adolescents as a Prognostic Indicator for the Development of Type 1 Diabetes Mellitus

Hyperglycemia is a common manifestation in the course of severe disease and is the result of acute metabolic and hormonal changes associated with various factors such as trauma, stress, surgery, or infection. Numerous studies demonstrate the association of adverse clinical events with stress hyperglycemia. This article briefly describes the pathophysiological mechanisms which lead to hyperglycemia under stressful circumstances particularly in the pediatric and adolescent population. The importance of prevention of hyperglycemia, especially for children, is emphasized and the existing models for the prediction of diabetes are presented. The available studies on the association between stress hyperglycemia and progress to type 1 diabetes mellitus are presented, implying a possible role for stress hyperglycemia as part of a broader prognostic model for the prediction and prevention of overt disease in susceptible patients.

Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes

INTRODUCTION

Innovative approaches are needed to design robust clinical decision support (CDS) to optimize hospital glycemic management. We piloted an electronic medical record (EMR), evidence-based algorithmic CDS tool in an academic center to alert clinicians in real time about gaps in care related to inpatient glucose control and insulin utilization, and to provide management recommendations.

RESEARCH DESIGN AND METHODS

The tool was designed to identify clinical situations in need for action: (1) severe or recurrent hyperglycemia in patients with diabetes: blood glucose (BG) ≥13.88 mmol/L (250 mg/dL) at least once or BG ≥10.0 mmol/L (180 mg/dL) at least twice, respectively; (2) recurrent hyperglycemia in patients with stress hyperglycemia: BG ≥10.0 mmol/L (180 mg/dL) at least twice; (3) impending or established hypoglycemia: BG 3.9-4.4 mmol/L (70-80 mg/dL) or ≤3.9 mmol/L (70 mg/dL); and (4) inappropriate sliding scale insulin (SSI) monotherapy in recurrent hyperglycemia, or anytime in patients with type 1 diabetes. The EMR CDS was active (ON) for 6 months for all adult hospital patients and inactive (OFF) for 6 months. We prospectively identified and compared gaps in care between ON and OFF periods.

RESULTS

When active, the hospital CDS tool significantly reduced events of recurrent hyperglycemia in patients with type 1 and type 2 diabetes (3342 vs 3701, OR=0.88, p=0.050) and in patients with stress hyperglycemia (288 vs 506, OR=0.60, p<0.001). Hypoglycemia or impending hypoglycemia (1548 vs 1349, OR=1.15, p=0.050) were unrelated to the CDS tool on subsequent analysis. Inappropriate use of SSI monotherapy in type 1 diabetes (10 vs 22, OR=0.36, p=0.073), inappropriate use of SSI monotherapy in type 2 diabetes (2519 vs 2748, OR=0.97, p=0.632), and in stress hyperglycemia subjects (1617 vs 1488, OR=1.30, p<0.001) were recognized.

CONCLUSION

EMR CDS was successful in reducing hyperglycemic events among hospitalized patients with dysglycemia and diabetes, and inappropriate insulin use in patients with type 1 diabetes.

15. Diabetes Care in the Hospital: Standards of Medical Care in Diabetes-2021

The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Higher age, female gender, osteoarthritis and blood transfusion protect against periprosthetic joint infection in total hip or knee arthroplasties: a systematic review and meta-analysis

PURPOSE

The goal of this systematic review and meta-analysis was to identify the main risk factors for periprosthetic joint infection (PJI) in patients undergoing total hip or knee arthroplasties.

METHODS

A systematic review was conducted of the potential risk factors for PJI in total hip or total knee arthroplasty. Risk factors were compared and grouped according to demographics, comorbidities, behavior, infections, native joint diseases and other patient-related and procedure-related factors. Meta-analysis (random-effects models) was conducted using odds ratio (OR) and mean difference (MD). Risk of bias (ROBBINS-I) and strength of the evidence (GRADE) were assessed.

RESULTS

The study included 37 studies (2,470,827 patients). Older age was a protective factor (MD = - 1.18). Male gender (OR 1.34), coagulopathy (3.05), congestive heart failure (2.36), diabetes mellitus (1.80), obesity (1.61), systemic neoplasia (1.57), chronic lung disease (1.52), and hypertension (1.21) increased the risk for PJI. Behavioral risk factors comprised alcohol abuse (2.95), immunosuppressive therapy (2.81), steroid therapies (1.88), and tobacco (1.82). Infectious risk factors included surgical site infections (6.14), postoperative urinary tract infections (2.85), and prior joint infections (2.15). Rheumatoid arthritis, posttraumatic native joint disease, high National Nosocomial Infections Surveillance (NNIS) system surgical patient index score, prior joint operation, American Society of Anesthesiologists score ≥ 3 and obesity were also significantly associated with higher risk of PJI. Osteoarthritis and blood transfusion were protective factors.

CONCLUSIONS

The main risk factors for PJI in each category were male gender, coagulopathy, alcohol abuse, surgical site infection (highest score) and high NNIS system surgical patient index score. Protective factors were age, female gender in TKA, osteoarthritis and blood transfusion. Optimization of modifiable risk factors for PJI should be attempted in clinical practice.

LEVEL OF EVIDENCE

II.

Inpatient Hyperglycemia Management and COVID-19

Diabetes is one of the most common comorbidities in hospitalized patients with coronavirus disease 2019 (COVID-19). Inpatient hyperglycemia during this pandemic has been associated with worse outcomes, so it is mandatory to implement effective glycemic control treatment approaches for inpatients with COVID-19. The shortage of personal protective equipment, the need to prevent staff exposure, or the fact that many of the healthcare professionals might be relatively unfamiliar with the management of hyperglycemia may lead to worse glycemic control and, consequently, a worse prognosis. In order to reduce these barriers, we intend to adapt established recommendations to manage hyperglycemia during this pandemic in critical and noncritical care settings.

Diagnosis and Management Considerations in Steroid-Related Hyperglycemia in COVID-19: A Position Statement from the Endocrine Society of India

The current coronavirus disease (COVID-19) pandemic is showing no signs of abatement and result in significant morbidity and mortality in the infected patients. Many therapeutic agents ranging widely between antivirals and anti-inflammatory drugs have been used to mitigate the disease burden. In the deluge of the drugs being used for COVID-19 infection, glucocorticoids (GCs) stand out by reducing mortality amongst in-hospital severe-to-critically ill patients. Health-care practitioners have seen this as a glimmer of hope and started using these drugs more frequently than ever in clinical practice. The fear of mortality in the short term has overridden the concern of adverse long-term consequences with steroid use. The ease of availability, low cost, and apparent clinical improvement in the short term have led to the unscrupulous use of the steroids even in mild COVID-19 patients including self-medication with steroids. The use of GCs has led to the increasing incidence of hyperglycemia and consequent acute complications of diabetic ketoacidosis and mucormycosis in COVID-19 patients. There is an urgent need to dissipate information about optimum management of hyperglycemia during steroid use. In view of this, the Endocrine Society of India has formulated this position statement about the diagnosis and management of hyperglycemia due to the use of GCs in patients with COVID-19 infection.

Hypoglycemia increases endothelial-dependent vasodilation through suppressing phosphorylation at Threonine 495/497 site of endothelial nitric oxide synthase

OBJECTIVE

Phosphorylation plays an essential role in the regulation of endothelial nitric oxide synthase (eNOS) activity. However, the phosphorylation of eNOS under hypoglycemia and whether hypoglycemia changes eNOS activity is unknown. This paper aims to clarify the regulation of eNOS phosphorylation and its activity change under hypoglycemia.

METHODS

Bovine aortic endothelial cells (BAECs) and Sprague-Dawley rats were treated with hypoglycemia, and the phosphorylation of eNOS was subjected to western blot. Blood nitric oxide (NO) concentration was determined by NO kit and endothelial-dependent vasodilation was detected by multi-wire myograph.

RESULTS

In both BAECs and rats' thoracic aorta, hypoglycemia induced eNOS phosphorylation decrease specifically on Threonine (Thr) 497. Inhibition of ubiquitination of protein kinase C α subunit (PKCα) reverses the decrease of eNOS phosphorylation in hypoglycemia. Ubiquitinated PKCα can be reversed by AMPK knockdown. In rats, insulin induced hypoglycemia increased the concentration of NO in arterial blood, and progressively enhanced the endothelium-dependent vasodilation of the thoracic and mesenteric aorta.

CONCLUSIONS

In vitro, the activation of AMPK may lead to the expression of PKCα by regulating ubiquitination, resulting in a decrease in the level of P-eNOS Thr497 phosphorylation under hypoglycemia. In vivo, insulin-induced hypoglycemia produces a beneficial cardiovascular effect on rats.

African Cuisine-Centered Insulin Therapy: Expert Opinion on the Management of Hyperglycaemia in Adult Patients with Type 2 Diabetes Mellitus

The prevalence of diabetes in sub-Saharan Africa (SSA) is growing rapidly, and a steadily increasing number of adults are estimated to be living with type 2 diabetes mellitus (T2DM). Insulin therapy is the treatment of choice in patients who present with severe hyperglycaemia and in most of those who do not achieve target goals on oral hypoglycaemic agents. Initiating treatment with the appropriate type of insulin based on the meal patterns and lifestyle of the individual patient is a strategy that is more likely than others to improve glycaemic control and adherence. African cuisine typically has a high carbohydrate load. Given these predominantly carbohydrate-rich food habits, it is essential to modify this dietary pattern whilst at the same time ensuring that insulin therapy is initiated, titrated and maintained in a timely manner, as needed to suit the patient's habits. To date, there are no published clinical guidelines to guide practitioners and patients on tailoring insulin to match the high carbohydrate content in African cuisine. To address this gap, we have reviewed current insulin therapy practices and propose a patient-centric guide to insulin therapy based on African cuisine. A literature search was conducted for studies published in English up to November 2019 that focused on the choice of insulin and its dosing in relation to African foods. All articles extracted were reviewed by an expert group. The recommendation of the expert group was that basal-bolus and premix insulin regimens are best suited to manage post-meal glycaemia in African cuisine. The timing and constituents of the meal, portion sizes, glycaemic load and glycaemic index of meals should be considered when choosing the type of insulin and insulin regimen. Assessment of individual preferences and comorbidities should be prioritised and form an integral part of diabetes management.

Optimizing diabetes mellitus care to improve COVID-19 outcomes in resource-limited settings in Africa

Diabetes mellitus (DM) is an important risk factor for both severe disease and death due to coronavirus-2019 (COVID-19). About 19 million of the 463 million persons living with DM (PLWD) globally are found in sub-Saharan Africa (SSA). The dual burden of DM and poverty in SSA, coupled with the rising number of cases of COVID-19 in this region, predisposes PLWD to inadequate care and poor glycemic controls due to the disruption to the economy and the healthcare system. The risk of acquisition of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) among PLWD is the same as those in the general population. Therefore, the standard preventive measures outlined by the World Health Organization must be strictly adhered to. In addition, maintaining adequate glycemic control is associated with better outcomes in DM patients with COVID-19. In SSA, adequate supply of DM medication while patients stay at home is crucial to minimize routine hospital visits since DM clinics are usually overcrowded and have longer waiting times, which may maximize risk of SARS-CoV-2 transmission to PLWD across the region. Psychosocial support to improve adherence to anti-hyperglycemic medications may improve COVID-19 outcomes. Trained healthcare professionals should diagnose and evaluate severity comprehensively as well as evaluate the need for in-patient care for PLWD with COVID-19 irrespective of disease severity. Due to the increased risk of severe disease, a multi-disciplinary approach to the management of COVID-19 in PLWD should preferably be in a setting where close monitoring is available, typically a health facility, even for mild disease that may require home management according to local guidelines. In conclusion, DM complicates COVID-19 outcomes and the on-going COVID-19 pandemic adversely affects DM care at individual and global public health levels. PLWD should be prioritized as COVID-19 vaccines are being rolled out.

Diabetic patients with COVID-19 need more attention and better glycemic control

BACKGROUND

Coronavirus disease 2019 (COVID-19) is a pandemic disease spreading all over the world and has aroused global concerns. The increasing mortality has revealed its severity. It is important to distinguish severe patients and provide appropriate treatment and care to prevent damages. Diabetes is reported to be a common comorbidity in COVID-19 patients and associated with higher mortality. We attempted to clarify the relationship between diabetes and COVID-19 patients' severity.

AIM

To determine the role of type 2 diabetes in COVID-19 patients.

METHODS

To study the relationship between diabetes and COVID-19, we retrospectively collected 61 patients' data from a tertiary medical center in Wuhan. All the patients were diagnosed with laboratory-confirmed COVID-19 and admitted to the center from February 13 to March 1, 2020. Patients' age, sex, laboratory tests, chest computed tomography findings, capillary blood glucose (BG), and treatments were collected and analyzed. Fisher exact test was used for categorical data. Univariate and multivariate logistic regressions were used to explore the relationship between clinical characteristics and patients' severity.

RESULTS

In the 61 patients, the comorbidity of type 2 diabetes, hypertension, and heart diseases were 24.6% (15 out of 61), 37.7% (23 out of 61), and 11.5% (7 out of 61), respectively. The diabetic group was related to more invasive treatments (P = 0.02) and severe status (P = 0.003). In univariate logistic regression, histories of diabetes (OR = 7.13, P = 0.003), hypertension (OR = 3.41, P = 0.039), and hepatic dysfunction (OR = 7.69, P = 0.002) were predictors of patients' severity while heart disease (OR = 4.21, P = 0.083) and large lung involvement (OR = 2.70, P = 0.093) also slightly exacerbated patients' conditions. In the multivariate analysis, diabetes (OR = 6.29, P = 0.016) and hepatic dysfunction (OR = 5.88, P = 0.018) were risk factors for severe patients. Diabetic patients showed elevated BG in 61.7% of preprandial tests and 33.3% of postprandial tests, revealing the limited control of glycemia in COVID-19 patients.

CONCLUSION

A history of type 2 diabetes is correlated with invasive treatments and severe status. Suboptimal glycemic control and hepatic dysfunction have negative effects on severity status and may lead to the exacerbation of COVID-19 patients.

Use of Personal Health Records to Support Diabetes Self-management: An Integrative Review

More than 30 million persons in the United States have diagnosed or undiagnosed diabetes. Persons with chronic types of diabetes must learn self-management principles and techniques and perform self-care behaviors to reduce the risk of diabetes-related complications. An electronic personal health record is one type of technology commonly used to support diabetes self-management. This integrative review examines research on how personal health records incorporate or address the American Association of Diabetes Educators self-care behaviors, diabetes-related psychosocial concerns, and the diabetes-related clinical quality-of-care measures of hemoglobin A1c, low-density lipoprotein cholesterol, and blood pressure. In the majority of studies reviewed, participants showed improvement in the self-care behavior or physiological outcome examined. Findings were inconclusive about the impact of personal health record use on diabetes distress. Results also revealed a lack evidence of patient specific factors influencing intention to use a personal health record for management of type 2 diabetes mellitus. Despite evidence that personal health record use improves diabetes self-management, they are underutilized. Implications for practice include understanding what influences intention to use a personal health record. Further research is also needed to determine the impact of personal health record use on diabetes distress.

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.

Safety and Efficacy of Adding Dapagliflozin to Furosemide in Type 2 Diabetic Patients With Decompensated Heart Failure and Reduced Ejection Fraction

Background: Heart failure is the most common cause of hospitalization in elderly patients. It is likely that many of the mechanisms that contribute to reductions in systolic and diastolic function, seen in diabetic patients, place them at an increased risk of heart failure. Diuretic therapy, especially loop diuretics, is the usual way of managing congestion, particularly in volume-overloaded patients. Little is known about the beneficial effect of dapagliflozin when added to loop diuretics in managing patients with decompensated heart failure. Aim: To assess the effect of the addition of dapagliflozin to furosemide in managing decompensated patient with heart failure and reduced left ventricular ejection fraction in terms of weight loss and dyspnea improvement. Patients and Methods: The study included 100 type 2 diabetic patients who were admitted with decompensated heart failure. The study population was randomly divided into two arms. Serum electrolytes and kidney functions were followed up during their hospital stay. Results: With dapagliflozin, there was a statistically significant difference between the two groups regarding the change in body weight and body mass index. The diuresis parameters including urine output, total fluid loss, and fluid balance also showed a statistically significant difference in favor of the use of dapagliflozin, with no significant change in serum potassium or kidney functions. There was significant improvement in patient-reported dyspnea scores with the use of dapagliflozin. Conclusions: Dapagliflozin may provide a new drug option in the treatment of heart failure especially among vulnerable group of diabetics. It had no remarkable effects on serum potassium level and kidney functions. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT04385589.

Study on the Effect of the Five-in-One Comprehensive Limb Salvage Technologies of Treating Severe Diabetic Foot

Objective: To explore the clinical efficacy and advantages of five-in-one comprehensive limb salvage technologies for the treatment of severe diabetic foot ulcer (DFU). Approach: Clinical data for 120 patients with severe DFU treated between January 2012 and December 2017 were analyzed retrospectively. The control group (48 cases) was treated with traditional therapies, including controlling blood sugar, improving microcirculation, preserving nerve function, and dressing changes, whereas the experimental group (72 cases) was treated with traditional therapy combined with additional techniques, such as early and thorough debridement, negative pressure wound therapy, revascularization, and skin graft or flap. Ankle-brachial index (ABI), transcutaneous oxygen pressure (TcPO₂), wound healing rate, healing time, ulcer recurrence rate, and amputation rate were recorded. Results: Compared with the control group, the experimental group significantly improved wound healing rate (93.1% vs. 72.9%; p < 0.01), decreased wound healing time (16.2 ± 5.4 days vs. 32.2 ± 7.8 days; p < 0.05), reduced major limb amputation rate (1.4% vs. 10.4%, p < 0.05), and ulcer recurrence rate (5.6% vs. 14.6%; p < 0.05). There were no significant differences in amputation rate between experimental and control group (29.2% vs. 33.3%, p = 0.628). After revascularization, the revascularization group showed significantly improved ABI (0.75 ± 0.21 vs. 0.35 ± 0.16, p < 0.05) and TcPO₂ (36 ± 6 mmHg vs. 15 ± 4 mmHg, p < 0.05). Innovation: We propose a five-in-one comprehensive treatment method, which provides a multidisciplinary cooperative model for comprehensive medical and surgical treatments for DFU. Conclusion: The five-in-one comprehensive limb salvage treatment technologies played a vital role in enhancing the healing rate of severe DFU, shortening the healing time, and reducing the rate of recurrence and major amputation, thus improving the overall quality of life.