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

The impact of poor post-operative glucose control on neurosurgical surgical site infections (SSI)

Elevated HbA1c is associated with increased surgical site infections (SSI) in neurosurgical patients. How blood glucose control in the early post-operative period relates to SSI is incompletely understood. We hypothesized that poor early post-operative blood glucose control would be associated with SSI. Data from patients undergoing neurosurgical procedures at University of Missouri Hospital was retrospectively collected. Post-operative blood glucose for 72 h after surgery was assessed and categorized by levels of hyperglycemia; those with glucose ≥200 mg/dl were classified as poorly controlled. Patients with SSI were compared to patients without SSI using Chi-Square test with Fisher's exact test when appropriate. Of 500 patients having surgery, 300 had at least one post-operative blood glucose measurement. Of those 300 patients, 19 (6.33%) developed SSI. Patients with SSI had significantly higher mean post-operative blood glucose levels (p = 0.0081) and a greater mean number of point-of-care glucose level measurements >150 mg/dL (p = 0.0434). Pre-operative HbA1c and SSI were not associated (p = 0.0867). SSI was associated with pre-operative glucocorticoid use (p = 0.03), longer operative procedure (p = 0.0072), and required use of post-operative insulin drip (p = 0.047). Incidence of other wound complications (cellulitis, deep infection, dehiscence) increased with increase in post-operative blood glucose levels to >225 mg/dL. Post-operative hyperglycemia is associated with SSI after neurosurgical procedures, emphasizing the importance addressing blood glucose control after surgery.

Fasting plasma glucose and glucose fluctuation are associated with COVID-19 prognosis regardless of pre-existing diabetes

AIMS

We aimed to investigate the role of Fasting Plasma Glucose (FPG) and glucose fluctuation in the prognosis of COVID-19 patients stratified by pre-existing diabetes.

METHODS

The associations of FPG and glucose fluctuation indexes with prognosis of COVID-19 in 2,642 patients were investigated by multivariate Cox regression analysis. The primary outcome was in-hospital mortality; the secondary outcome was disease progression. The longitudinal changes of FPG over time were analyzed by the latent growth curve model in COVID-19 patients stratified by diabetes and severity of COVID-19.

RESULTS

We found FPG as an independent prognostic factor of overall survival after adjustment for age, sex, diabetes and severity of COVID-19 at admission (HR: 1.15, 95% CI: 1.06-1.25, P = 1.02 × 10^-3). Multivariate logistic regression analysis indicated that the standard deviation of blood glucose (SDBG) and largest amplitude of glycemic excursions (LAGE) were also independent risk factors of COVID-19 progression (P = 0.03 and 0.04, respectively). The growth trajectory of FPG over the first 3 days of hospitalization was steeper in patients with critical COVID-19 in comparison to moderate patients.

CONCLUSIONS

Hyperglycemia and glucose fluctuation were adverse prognostic factors of COVID-19 regardless of pre-existing diabetes. This stresses the importance of glycemic control in addition to other therapeutic management.

Hyperglycaemia increases mortality risk in non-diabetic patients with COVID-19 even more than in diabetic patients

Aim

Diabetes has been identified as a risk factor for poor outcomes in patients with COVID‐19. We examined the association of hyperglycaemia, both in the presence and absence of pre‐existing diabetes, with severity and outcomes in COVID‐19 patients.

Methods

Data from 74,148 COVID‐19‐positive inpatients with at least one recorded glucose measurement during their inpatient episode were analysed for presence of pre‐existing diabetes diagnosis and any glucose values in the hyperglycaemic range (>180 mg/dl).

Results

Among patients with and without a pre‐existing diabetes diagnosis on admission, mortality was substantially higher in the presence of high glucose measurements versus all measurements in the normal range (70–180 mg/dl) in both groups (non‐diabetics: 21.7% vs. 3.3%; diabetics 14.4% vs. 4.3%). When adjusting for patient age, BMI, severity on admission and oxygen saturation on admission, this increased risk of mortality persisted and varied by diabetes diagnosis. Among patients with a pre‐existing diabetes diagnosis, any hyperglycaemic value during the episode was associated with a substantial increase in the odds of mortality (OR: 1.77, 95% CI: 1.52–2.07); among patients without a pre‐existing diabetes diagnosis, this risk nearly doubled (OR: 3.07, 95% CI: 2.79–3.37).

Conclusion

This retrospective analysis identified hyperglycaemia in COVID‐19 patients as an independent risk factor for mortality after adjusting for the presence of diabetes and other known risk factors. This indicates that the extent of glucose control could serve as a mechanism for modifying the risk of COVID‐19 morality in the inpatient environment.

Safety and efficacy of transitioning from intravenous to subcutaneous insulin in critically ill patients

Background Intravenous (IV) insulin is commonly used for the management of hyperglycemia in critically ill patients. However, an assessment of real-world practices for the transition process from IV to Subcutaneous (SC) is lacking. Objective The objective of this study was to describe the real-world practice during insulin transition from IV to SC in intensive care unit (ICU) patients. Setting ICUs at a tertiary medical center. Methods This was a retrospective cohort study. Data were obtained from electronic medical records for all ICU patients for whom insulin infusions were ordered between Nov 2017-2018. Adult ICU patients were included if they were transitioned to a SC insulin regimen after spending at least 6 h on IV insulin infusion. Data collected include blood glucose readings, transition percentage, and the type of insulin regimen used after transition. Main outcome measure Assessment of the transition percentage and dysglycemic events during the insulin transition process from IV to SC. Results Two hundred patients with 4702 blood glucose checks were included. Of the included patients, 65% (130/200) were transitioned to a basal insulin-containing regimen. The median transition percentage in those patients was 45% [IQR: 28 - 69]. In the overall cohort, the number of patients who developed moderate and severe hypoglycemia was significantly higher prior to transition, while hyperglycemia was significantly higher after insulin transition. Conclusion We observed that patients were converted to SC therapy using a lower transition percentage than previously described. More data are needed to optimize the transition process in critically ill patients.

Corticosteroid Administration and Impaired Glycemic Control in Mechanically Ventilated COVID-19 Patients

Objective

Recent clinical trials confirmed the corticosteroid dexamethasone as an effective treatment for patients with COVID-19 requiring mechanical ventilation. However, limited attention has been given to potential adverse effects of corticosteroid therapy. The objective of this study was to determine the association between corticosteroid administration and impaired glycemic control among COVID-19 patients requiring mechanical ventilation and/or veno-venous extracorporeal membrane oxygenation.

Design

Multicenter retrospective cohort study between March 9 and May 17, 2020. The primary outcome was days spent with at least 1 episode of blood glucose either >180 mg/dL or <80 mg/dL within the first 28 days of admission.

Setting

Twelve hospitals in a United States health system.

Patients

Adults diagnosed with COVID-19 requiring invasive mechanical ventilation and/or veno-venous extracorporeal membrane oxygenation.

Interventions

None.

Measurements and Main Results

We included 292 mechanically ventilated patients. We fitted a quantile regression model to assess the association between steroid administration ≥320 mg methylprednisolone (equivalent to 60 mg dexamethasone) and impaired glycemic control. Sixty-six patients (22.6%) died within 28 days of intensive care unit admission. Seventy-one patients (24.3%) received a cumulative dose of least 320 mg methylprednisolone equivalents. After adjustment for gender, history of diabetes mellitus, chronic liver disease, sequential organ failure assessment score on intensive care unit day 1, and length of stay, administration of ≥320 mg methylprednisolone equivalent was associated with 4 additional days spent with glucose either <80 mg/dL or >180 mg/dL (B = 4.00, 95% CI = 2.15-5.85, P < .001).

Conclusions

In this cohort study of 292 mechanically ventilated COVID-19 patients, we found an association between corticosteroid administration and higher incidence of both hyperglycemia and hypoglycemia.

A practical guidance on the use of intravenous insulin infusion for management of inpatient hyperglycemia: Intravenous Insulin Infusion for Management of Inpatient Hyperglycemia

BACKGROUND

We aim to provide a practical guidance on the use of intravenous insulin infusion for managing inpatient hyperglycemia.

METHODS AND RESULTS

This document was formulated based on the review of available literature and personal experience of authors. We have used various case scenarios to illustrate variables which should be taken into account when deciding adjustments in infusion rate, including but not restricted to ambient blood glucose level and magnitude of blood glucose change in the previous hour.

CONCLUSION

The guidance can be generalized to any situation where dedicated protocols are lacking, trained manpower is not available and resource constraints are present.

Efficient and safe glycaemic control with basal-bolus insulin therapy during fasting periods in hospitalized patients with type 2 diabetes using decision support technology: A post hoc analysis

AIM

To evaluate the efficacy and safety of basal-bolus insulin therapy in managing glycaemia during fasting periods in hospitalized patients with type 2 diabetes.

MATERIALS AND METHODS

We performed a post hoc analysis of two prospective, uncontrolled interventional trials that applied electronic decision support system-guided basal-bolus (meal-related and correction) insulin therapy. We searched for fasting periods (invasive or diagnostic procedures, medical condition) during inpatient stays. In a mixed model analysis, patients' glucose levels and insulin doses on days with regular food intake were compared with days with fasting periods.

RESULTS

Out of 249 patients, 115 patients (33.9% female, age 68.3 ± 10.3 years, diabetes duration 15.1 ± 10.9 years, body mass index 30.1 ± 5.4 kg/m² , HbA1c 69 ± 20 mmol/mol) had 194 days with fasting periods. Mean daily blood glucose (BG) was lower (modelled difference [ModDiff]: -0.5 ± 0.2 mmol/L, P = .006), and the proportion of glucose values within the target range (3.9-10.0 mmol/L) increased on days with fasting periods compared with days with regular food intake (ModDiff: +0.06 ± 0.02, P = .005). Glycaemic control on fasting days was driven by a reduction in daily bolus insulin doses (ModDiff: -11.0 ± 0.9 IU, P < .001), while basal insulin was similar (ModDiff: -1.1 ± 0.6 IU, P = .082) compared with non-fasting days. Regarding hypoglycaemic events (BG < 3.9 mmol/L), there was no difference between fasting and non-fasting days (χ² 0.9% vs. 1.7%, P = .174).

CONCLUSIONS

When using well-titrated basal-bolus insulin therapy in hospitalized patients with type 2 diabetes, the basal insulin dose does not require adjustment during fasting periods to achieve safe glycaemic control, provided meal-related bolus insulin is omitted and correction bolus insulin is tailored to glucose levels.

The relationship between inpatient hyperglycaemia and mortality is modified by baseline glycaemic status

AIMS

There is a well-established association between inpatient hyperglycaemia and mortality. However, evidence is inconsistent regarding whether this association is differential among those with and without type 2 diabetes mellitus (T2DM). Most studies are based on convenience samples or are unable to adjust for comorbidities. We examined whether the association between hyperglycaemia and 30-day mortality was modified by baseline glycaemic status.

MATERIALS AND METHODS

This was a retrospective cohort study of 174,671 eligible hospitalized individuals between 2012 and 2015. Thirty-day mortality was assessed during the first inpatient stay up to 30 days post discharge. The adjusted association between hyperglycaemia and mortality was assessed with logistic regression models. Then, four interaction terms were entered into the model to assess if the association between hyperglycaemia and mortality differed by baseline glycaemic status.

RESULTS

The multivariate model demonstrated a 2.18-fold risk of mortality associated with hyperglycaemia (odds ratio [OR] [95%CI]: 2.19 [2.08-2.31]). Adding the interaction terms between hyperglycaemia and baseline glycaemic status the ORs of 30-day mortality were 1.41 (1.25-1.60) in non-T2DM status, 1.32 (1.16-1.51) in pre-diabetes status and 1.30 (1.04-1.62) in unscreened status, as compared to T2DM status with hyperglycaemia.

CONCLUSIONS

Hyperglycaemia is positively associated with mortality and both those without and with controlled T2DM are at highest risk. These findings may help medical staff identify potential increased risk of mortality upon hospital entry and discharge, and direct further research to assess how hyperglycaemia control and proactive deterioration prevention throughout the entire inpatient stay may prevent adverse outcomes.

Predictors of seizure recurrence in emergency department pediatric patients with first-onset afebrile seizure: A retrospective observational study

INTRODUCTION

The primary goals of emergency department (ED) clinicians when dealing with a pediatric patient experiencing a seizure are to control the seizure and prevent seizure-related complications. After stabilizing the patient, the clinician should determine whether the patient is likely to have recurrent seizures that may need treatment such as antiepileptic drugs (AEDs). The early identification of pediatric seizure patients at high risk for recurrence can be of great help in consulting with their parents. This study aimed to identify predictors of seizure recurrence in pediatric patients who visited the ED for first-onset afebrile seizure.

METHODS

This retrospective study was conducted with pediatric patients aged 1 month to 18 years who visited our ED for afebrile seizure from January 2016 to March 2020. Children with a known seizure disorder, known underlying genetic or metabolic disorder, or acute trauma history, and those lost to follow-up were excluded. Multivariable logistic regression analysis was performed to identify factors associated with seizure recurrence.

RESULTS

A total of 253 pediatric patients were included in the study. Seizure recurrence was observed in 117 patients (46.3%). From the multivariable logistic regression analysis, older age at onset (11-15 years, odds ratio [OR] 5.781, p = 0.001; 16-18 years, OR 6.223, p = 0.002), a longer seizure duration (1-5 min, OR 3.043, p = 0.002; 6-10 min, OR 5.629, p = 0.002; >10 min, OR 8.882, p = 0.002), blood pH under 7.2 (OR 8.308, p = 0.015), and a glucose level over 144 mg/dL (OR 6.408, p = 0.030) were significantly associated with seizure recurrence. The area under the receiver operating characteristic curve for the multivariable logistic regression analysis was 0.774.

CONCLUSION

Age at onset ≥11 years, a longer seizure duration, acidosis, and hyperglycemia were predictors of seizure recurrence in children who had experienced first-onset afebrile seizure.

Diabetes in the Hospital

BACKGROUND

Comprehensive data on the frequency of diabetes mellitus among hospitalized patients in Germany have not been published to date.

METHODS

Among all inpatient cases aged ≥20 years that were documented in the German DRG statistics for 2015-2017, we analyzed the frequencies of five types of diabetes (type 1, type 2, other/pancreatic diabetes, "rare diabetes" with an ICD code of E12 or E14, gestational diabetes) and of prediabetes, stratified by sex and age group. The presence of any of these conditions was ascertained from the corresponding ICD-10 code among the main diagnoses (reasons for admission) or secondary diagnoses. We also compared the length of hospital stay, in-hospital mortality, and the frequency of various categories of main diagnosis in cases with and without diabetes in each age group.

RESULTS

In the period 2015-2017, approximately 18% of the 16.4 to 16.7 million inpatient cases carried a main or secondary diagnosis of diabetes (in 2017: type 2, 17.1%; type 1, 0.5%). Diabetes was more common in male cases than in female cases (in 2017: type 2, 19.7% vs. 14.8%; type 1, 0.5% vs. 0.4%). In 2017, the greatest difference in length of hospital stay between patients with and without diabetes was for patients with type 1 diabetes aged 40-49 (7.3 vs. 4.5 days), while the greatest difference in in-hospital mortality was for patients with type 2 diabetes aged 70-79 (3.7% vs. 2.8%). From the age of 30 (age category 30-39), diseases of the cardiovascular system, and from the age of 50 (age category 50-59), diseases of the respiratory or urogenital systems were more frequently listed as a reason for admission in cases with than in those without diabetes.

CONCLUSION

The fact that diabetes is twice as prevalent in hospitalized cases as in the general population underscores the high morbidity associated with the disease and the greater need of persons with diabetes for in-hospital care, as the population of multimorbid diabetes patients continues to grow older.

Advances in safe insulin infusions

Hyperglycaemia is recognized as a marker of adverse clinical outcomes for hospitalized patients with and without diabetes, including mortality, morbidity, increased length of stay, infections and overall complications. In some cases, intravenous (IV) insulin infusions are the optimal intervention and, to date, these have been compounded in hospital pharmacy departments or, alternatively, at the point of care, when timeliness is a concern or the pharmacy is closed. However, in-house compounding of high-risk medications such as IV insulin poses risks both for patients and institutions. The critical nature of certain high-risk therapies has led to the development of ready-to-administer products to improve the safety, timeliness, efficacy and efficiency of critical infusions. Recently, IV insulin, a high-alert therapy, has been added to the ready-to-use armamentarium. This narrative review explores the expanding indications, risks and opportunities associated with insulin infusions and potential options for improved safety.

Management of diabetes in elderly patients during the COVID-19 pandemic: current and future perspectives

Introduction: The COVID-19 pandemic has affected the entire population with the most deleterious effects in elders. Elders, especially those with diabetes, are at the highest risk of COVID-19 related adverse outcomes and mortality. This is usually linked to the comorbidities that accumulate with age, diabetes-related chronic inflammation, and the pandemic's psychosocial effects.Areas covered: We present some approaches to manage these complicated elderly patients with diabetes during the COVID-19 pandemic. In the inpatient setting, we suggest similar (pre-pandemic) glycemic targets and emphasize the importance of using IV insulin and possible use of continuous glucose monitoring to reduce exposure and PPE utilization. Outside the hospital, we recommend optimal glycemic control within the limits imposed by considerations of safety. We also describe the advantages and challenges of using various technological platforms in clinical care.Expert opinion: The COVID-19 pandemic has lifted the veil off serious deficiencies in the infrastructures for care at both the individual level and the population level and also highlighted some of the strengths, all of which affect individuals with diabetes and COVID-19. We anticipate that things will not return to 'normal' after the COVID-19 pandemic has run its course, but rather they will be superseded by 'New Normal.'

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.

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 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.

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.

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.