Trends in Hospital Admission for Diabetic Ketoacidosis in Adults With Type 1 and Type 2 Diabetes in England, 1998-2013: A Retrospective Cohort Study

Clinical practice recommendations for management of Diabetes Mellitus in Arab region: An expert consensus statement from Arab Diabetes Forum (ADF)

Prevalence of diabetes in Arab region has significantly increased, resulting in a significant economic burden on healthcare systems. This surge can be attributed to obesity, rapid urbanization, changing dietary habits, and sedentary lifestyles. The Arab Diabetes Forum (ADF) has established localized recommendations to tackle the region's rising diabetes prevalence. The recommendations, which incorporate worldwide best practices, seek to enhance the quality of treatment for people with diabetes by raising knowledge and adherence among healthcare providers. The guidelines include comprehensive recommendations for screening, diagnosing, and treating type 1 and type 2 diabetes in children and adults for better overall health results.

Ambulance clinician use of capillary blood ketone meters to improve emergency hyperglycaemia care: A stepped-wedged controlled, mixed-methods feasibility study

AIM

To determine whether it was feasible, safe and acceptable for ambulance clinicians to use capillary blood ketone meters for 'high-risk' diabetic ketoacidosis (DKA) recognition and fluid initiation, to inform the need for a full-powered, multi-centre trial.

METHODS

Adopting a stepped-wedge controlled design, participants with hyperglycaemia (capillary blood glucose >11.0 mmol/L) or diabetes and unwell were recruited. 'High-risk' DKA intervention participants (capillary blood ketones ≥3.0 mmol/L) received paramedic-led fluid therapy. Participant demographic and clinical data were collated from ambulance and hospital care records. Twenty ambulance and Emergency Department clinicians were interviewed to understand their hyperglycaemia and DKA care experiences.

RESULTS

In this study, 388 participants were recruited (Control: n = 203; Intervention: n = 185). Most presented with hyperglycaemia, and incidence of type 1 and type 2 diabetes was 18.5% and 74.3%, respectively. Ketone meter use facilitated 'high-risk' DKA identification (control: 2.5%, n = 5; intervention: 6.5%, n = 12) and was associated with improved hospital pre-alerting. Ambulance clinicians appeared to have a high index of suspicion for hospital-diagnosed DKA participants. One third (33.3%; n = 3) of Control and almost half (45.5%; n = 5) of Intervention DKA participants received pre-hospital fluid therapy. Key interview themes included clinical assessment, ambulance DKA fluid therapy, clinical handovers; decision support tool; hospital DKA management; barriers to hospital DKA care.

CONCLUSIONS

Ambulance capillary blood ketone meter use was deemed feasible, safe and acceptable. Opportunities for improved clinical decision making, support and safety-netting, as well as in-hospital DKA care, were recognised. As participant recruitment was below progression threshold, it is recommended that future-related research considers alternative trial designs.

CLINICALTRIALS

gov: NCT04940897.

Beyond Infection: Unmasking the Impact of COVID-19 on Diabetes Emergency Trends

Introduction The relationship between COVID-19 and diabetes has been demonstrated in many studies. However, it is thought that the psycho-socioeconomic effects of the pandemic led to a worsening of glycemic control and an increase in diabetes-associated clinical emergencies in diabetic patients without a diagnosis of COVID-19. Objectives We aimed to reveal the change in the frequency of diabetes-related clinical emergencies before and during the COVID-19 pandemic. Patients and methods The data of the patients requiring endocrinology consultations in Manisa Celal Bayar University Faculty of Medicine Emergency Service between March 2018 and March 2022 were included. In total, 269 consultations were analyzed. The March 2018 - March 2020 period was considered as pre-COVID, and March 2020 - March 2022 as the COVID-19 period. The frequency of diabetes-related conditions between these two periods was compared. Results Compared to the pre-COVID period, there was a significant increase in the frequency of admissions with diabetic ketosis, hyperglycemic hyperosmolar state, hypoglycemia, and hyperglycemia in the COVID-19 period (p=0.022, p=0.037, p=0.044, and p=0.004 respectively). Although an increase was observed in the frequency of diabetic ketoacidosis (DKA) cases, no statistical significance was found. When the mortality data of the patients was evaluated, the total number of deaths was seen to increase significantly in the COVID-19 period (p=0.01). It was observed that the ratio of type 2 diabetes mellitus (DM)/type 1 DM among DKA patients increased significantly in the COVID-19 period (p=0.001). Conclusions It can be concluded that the increasing trend in diabetic emergencies that started even before the pandemic is exacerbated by COVID-19, especially in patients with poor glycemic control.

Impact of Charlson Comorbidity Index on in-hospital mortality of patients with hyperglycemic crises: A propensity score matching analysis

AIM

This study was designed to investigate the association between Charlson Comorbidity Index (CCI) and in-hospital mortality and other clinical outcomes among patients with hyperglycemic crises.

METHOD

This retrospective cohort study was conducted using data from electric medical records. A total of 1668 diabetic patients with hyperglycemic crises from six tertiary hospitals met the inclusion criteria. CCI < 4 was defined as low CCI and CCI ≥ 4 was defined as high CCI. Propensity score matching (PSM) with the 1:1 nearest neighbour matching method and the caliper value of 0.02 was used to match the baseline characteristics of patients with high CCI and low CCI to reduce the confounding bias. In-hospital mortality, ICU admission, hypoglycemia, hypokalemia, acute kidney injury, length of stay (LOS), and hospitalisation expense between low CCI and high CCI were compared and assessed. Univariate and multivariate regression were applied to estimate the impact of CCI on in-hospital and other clinical outcomes.

OUTCOME

One hundred twenty-one hyperglycemic crisis (HC) patients died with a mortality rate of 7.3%. After PSM, compared with low CCI, patients with high CCI suffered higher in-hospital mortality, ICU admission, LOS, and hospitalisation expenses. After multivariate regression, age (aOR: 1.12, 95% confidence interval [CI]: 1.06-1.18, p < 0.001), CCI(aOR: 4.42, 95% CI: 1.56-12.53, p = 0.005), uninsured (aOR: 22.32, 95% CI: 4.26-116.94, p < 0.001), shock (aOR: 10.57, 95% CI: 1.41-79.09, p = 0.022), mechanical ventilation (aOR: 75.29, 95% CI: 12.37-458.28, p < 0.001), and hypertension (aOR: 4.34, 95% CI: 1.37-13.82, p = 0.013) were independent risk factors of in-hospital mortality of HC patients. Besides, high CCI was an independent risk factor for higher ICU Admission (aOR: 5.91, 95% CI: 2.31-15.08, p < 0.001), hypoglycemia (aOR: 2.19, 95% CI:1.01-4.08, p = 0.049), longer LOS (aOR: 1.23, 95% CI: 1.19-2.27, p = 0.021), and higher hospitalisation expense (aOR: 2089.97, 95% CI: 193.33-3988.61, p = 0.031) of HC patients.

CONCLUSION

CCI is associated with in-hospital mortality, ICU admission, hypoglycemia, LOS, and hospitalisation expense of HC patients. CCI could be an ideal indicator to identify, monitor, and manage chronic comorbidities among HC patients.

Hyperglycemic Crises in Adults With Diabetes: A Consensus Report

The American Diabetes Association (ADA), European Association for the Study of Diabetes (EASD), Joint British Diabetes Societies for Inpatient Care (JBDS), American Association of Clinical Endocrinology (AACE), and Diabetes Technology Society (DTS) convened a panel of internists and diabetologists to update the ADA consensus statement on hyperglycemic crises in adults with diabetes, published in 2001 and last updated in 2009. The objective of this consensus report is to provide up-to-date knowledge about the epidemiology, pathophysiology, clinical presentation, and recommendations for the diagnosis, treatment, and prevention of diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) in adults. A systematic examination of publications since 2009 informed new recommendations. The target audience is the full spectrum of diabetes health care professionals and individuals with diabetes.

Hyperglycaemic crises in adults with diabetes: a consensus report

The American Diabetes Association (ADA), European Association for the Study of Diabetes (EASD), Joint British Diabetes Societies for Inpatient Care (JBDS), American Association of Clinical Endocrinology (AACE) and Diabetes Technology Society (DTS) convened a panel of internists and diabetologists to update the ADA consensus statement on hyperglycaemic crises in adults with diabetes, published in 2001 and last updated in 2009. The objective of this consensus report is to provide up-to-date knowledge about the epidemiology, pathophysiology, clinical presentation, and recommendations for the diagnosis, treatment and prevention of diabetic ketoacidosis (DKA) and hyperglycaemic hyperosmolar state (HHS) in adults. A systematic examination of publications since 2009 informed new recommendations. The target audience is the full spectrum of diabetes healthcare professionals and individuals with diabetes.

Trends in diabetic ketoacidosis in Victoria, Australia 2002-2016

BACKGROUND

International longitudinal studies have indicated an increasing incidence of diabetic ketoacidosis (DKA). We aim to examine the incident trends, demographic differences, length of stay and mortality for DKA in adults with type 1 diabetes (T1D) and type 2 diabetes (T2D) in Victoria, Australia from 2002 to 2016.

METHODS

Age and sex adjusted incident trends, length of stay and mortality for DKA was retrospectively obtained using the Victorian Admitted Episode Dataset between 2002 and 2016. Data for adults with T1D and T2D was obtained from the National Diabetes Services Scheme (NDSS). Joinpoint regression analysis was used to identify changes in linear trends that were described as average annual percentage change (AAPC).

RESULTS

There were 23,628 DKA presentations in Victoria between 2002 and 2016. For T1D there was an increase in DKA presentations (AAPC + 6.8%) from 2003 to 2016 and for T2D there was a decline from 2003 to 2011 (APC - 3.5%), increase from 2011 to 2014 (APC + 38.5%), and a decrease from 2014 to 2016 (APC - 20.9%). Length of stay was longer for people with T2D than T1D (P < 0.001) and the mortality rate was 0.51% for the study period.

CONCLUSIONS

DKA rates increased for T2D from 2011 to 2014 which correlates with the introduction of sodium glucose-linked transport protein 2 inhibitors. However, the aetiology for the observed increase in T1D from 2002 to 2016 remains unknown.

Predictors of 30-day recurrent emergency department visits for hyperglycemia in patients with types 1 and 2 diabetes: a population-based cohort study

OBJECTIVES

This study's aims were to describe the outcomes of patients with diabetes presenting with their first ED visit for hyperglycemia, and to identify predictors of recurrent ED visits for hyperglycemia.

METHODS

Using linked databases, we conducted a population-based cohort study of adult and pediatric patients with types 1 and 2 diabetes presenting with a first ED visit for hyperglycemia from April 2010 to March 2020 in Ontario, Canada. We determined the proportion of patients with a recurrent ED visit for hyperglycemia within 30 days of the index visit. Using multivariable regression analysis, we examined clinical and socioeconomic predictors for recurrent visits.

RESULTS

There were 779,632 patients with a first ED visit for hyperglycemia. Mean (SD) age was 64.3 (15.2) years; 47.7% were female. 11.0% had a recurrent visit for hyperglycemia within 30 days. Statistically significant predictors of a recurrent visit included: male sex, type 1 diabetes, regions with fewer visible minority groups and with less education or employment, higher hemoglobin A1C, more family physician or internist visits within the past year, being rostered to a family physician, previous ED visits in the past year, ED or hospitalization within the previous 14 days, access to homecare services, and previous hyperglycemia encounters in the past 5 years. Alcoholism and depression or anxiety were positive predictors for the 18-65 age group.

CONCLUSIONS

This population-level study identifies predictors of recurrent ED visits for hyperglycemia, including male sex, type 1 diabetes, regions with fewer visible minority groups and with less education or employment, higher hemoglobin A1C, higher previous healthcare system utilization (ED visits and hospitalization) for hyperglycemia, being rostered to a family physician, and access to homecare services. Knowledge of these predictors may be used to develop targeted interventions to improve patient outcomes and reduce healthcare system costs.

Trends in Incidence of Hospitalization for Hypoglycemia and Diabetic Ketoacidosis in Individuals With Type 1 or Type 2 Diabetes With and Without Severe Mental Illness in Denmark From 1996 to 2020: A Nationwide Study

OBJECTIVE

To examine trends in incidence of acute diabetes complications in individuals with type 1 or type 2 diabetes with and without severe mental illness (SMI) in Denmark by age and calendar year.

RESEARCH DESIGN AND METHODS

We conducted a cohort study using nationwide registers from 1996 to 2020 to identify individuals with diabetes, ascertain SMI status (namely, schizophrenia, bipolar disorder, or major depression) and identify the outcomes: hospitalization for hypoglycemia and diabetic ketoacidosis (DKA). We used Poisson regression to estimate incidence rates (IRs) and incidence rate ratios (IRRs) of recurrent hypoglycemia and DKA events by SMI, age, and calendar year, accounting for sex, diabetes duration, education, and country of origin.

RESULTS

Among 433,609 individuals with diabetes, 8% had SMI. Risk of (first and subsequent) hypoglycemia events was higher for individuals with SMI than for those without SMI (for first hypoglycemia event, IRR: type 1 diabetes, 1.77 [95% CI 1.56-2.00]; type 2 diabetes, 1.64 [95% CI 1.55-1.74]). Individuals with schizophrenia were particularly at risk for recurrent hypoglycemia events. The risk of first DKA event was higher in individuals with SMI (for first DKA event, IRR: type 1 diabetes, 1.78 [95% CI 1.50-2.11]; type 2 diabetes, 1.85 [95% CI 1.64-2.09]). Except for DKA in the type 2 diabetes group, IR differences between individuals with and without SMI were highest in younger individuals (<50 years old) but stable across the calendar year.

CONCLUSIONS

SMI is an important risk factor for acute diabetes complication and effective prevention is needed in this population, especially among the younger population and those with schizophrenia.

Budget impact analysis of continuous glucose monitoring in individuals with type 2 diabetes on insulin treatment in England

INTRODUCTION

In 2022, updated guidance from NICE expanded the options for self-monitoring of blood glucose for patients with type 2 diabetes (T2DM), to include continuous glucose monitoring (CGM). In this budget impact analysis, the cost impact of CGM was compared with traditional self-monitoring of blood glucose (SMBG) in adults with T2DM over 1 year from the commissioner perspective in England.

RESEARCH DESIGN AND METHODS

The NICE-eligible T2DM cohort was split into 4 subgroups to enable nuanced costing by insulin administration frequency: basal human insulin, premixed insulin, basal-bolus insulin and bolus insulin. The model's cost components comprised mild and severe hypoglycaemia (SH), diabetic ketoacidosis (DKA), consumables and healthcare resource utilisation in primary and secondary care.

RESULTS

The introduction of CGM is estimated to be cost additive by approximately £4.6 million in the basecase, driven by increased spending on the CGM device. Overall, healthcare activity was reduced by approximately 20,000 attendances, due to fewer SH and DKA episodes in the CGM arm. General Practitioner (GP) practice-based activity is expected to drop after the first year as patients requiring CGM training is reduced. The budget impact could be neutralised if the CGM sensor was discounted by 13.2% (£29.76 to £25.83).

CONCLUSIONS

CGM may result in increased spending in the NICE-eligible T2DM cohort but is expected to reduce demand on secondary care services and GP time. These findings may be of interest to local decision-makers who wish to resolve the COVID-19 backlog with transformational investment in primary care to reduce secondary care activity.

Behind the Hospital Ward: In-Hospital Mortality of Type 2 Diabetes Mellitus Patients in Indonesia (Analysis of National Health Insurance Claim Sample Data)

The rising global prevalence of diabetes mellitus, a chronic metabolic disorder, poses significant challenges to healthcare systems worldwide. This study examined in-hospital mortality among patients diagnosed with non-insulin-dependent diabetes mellitus (NIDDM) of ICD-10, or Type 2 Diabetes Mellitus (T2DM), in Indonesia, utilizing hospital claims data spanning from 2017 to 2022 obtained from the Indonesia Health Social Security Agency or Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan. The analysis, which included 610,809 hospitalized T2DM patients, revealed an in-hospital mortality rate of 6.6%. Factors contributing to an elevated risk of mortality included advanced age, the presence of comorbidities, and severe complications. Additionally, patients receiving health subsidies and those treated in government hospitals were found to have higher mortality risks. Geographic disparities were observed, highlighting variations in healthcare outcomes across different regions. Notably, the complication of ketoacidosis emerged as the most significant risk factor for in-hospital mortality, with an odds ratio (OR) of 10.86, underscoring the critical need for prompt intervention and thorough management of complications to improve patient outcomes.

Enhancing outcome prediction by applying the 2019 WHO DM classification to adults with hyperglycemic crises: A single-center cohort in Thailand

BACKGROUND AND AIMS

Hyperglycemic crisis is a metabolic catastrophe which can occur in any type of diabetes. In 2019, the World Health Organization (WHO) revised the classification of diabetes mellitus (DM) and established two new hybrid forms, latent autoimmune diabetes in adults (LADA) and ketosis-prone type 2 diabetes (T2D). This study aimed to determine clinical outcomes after a hyperglycemic crisis event in people with diabetes classified subtypes by 2019 WHO DM classification.

METHODS

A five-year (2015-2019) retrospective study of adult patients admitted with hyperglycemic crises was conducted. Types of diabetes were recategorized based on the 2019 WHO DM classification. Clinical characteristics, in-admission treatment and complications, long-term follow-up outcomes, and mortality were collected, analyzed, and compared.

RESULTS

A total of 185 admissions occurred in 136 patients. The mean age was 50.6 ± 18.4 years (49.3 % men). The annual average incidence of hyperglycemic crises was 5.2 events/1000 persons. The proportion of type 1 diabetes, T2D, LADA, ketosis-prone T2D, and pancreatic DM were 15.4 %, 69.1 %, 2.2 %, 11 %, and 2.2 %, respectively. In-hospital mortality was 3.7 % while cumulative mortality totaled 19.1 %. During the 24-month follow-up, ketosis-prone T2D had the highest success of insulin discontinuation (HR 6.59; 95 % CI 6.69-319.4; p < 0.001), while T2D demonstrated the highest mortality compared to others (HR, 2.89; 95%CI 1.15-6.27; p = 0.02).

CONCLUSION

The reclassification of diabetes based on 2019 WHO DM classification helped elucidate differences in long-term outcomes and mortality among DM types. The new classification, which separates ketosis-prone T2D from standard T2D, should be encouraged in clinical practice for precise and individualized management.

New advances in type 1 diabetes

Type 1 diabetes is an autoimmune condition resulting in insulin deficiency and eventual loss of pancreatic β cell function requiring lifelong insulin therapy. Since the discovery of insulin more than 100 years ago, vast advances in treatments have improved care for many people with type 1 diabetes. Ongoing research on the genetics and immunology of type 1 diabetes and on interventions to modify disease course and preserve β cell function have expanded our broad understanding of this condition. Biomarkers of type 1 diabetes are detectable months to years before development of overt disease, and three stages of diabetes are now recognized. The advent of continuous glucose monitoring and the newer automated insulin delivery systems have changed the landscape of type 1 diabetes management and are associated with improved glycated hemoglobin and decreased hypoglycemia. Adjunctive therapies such as sodium glucose cotransporter-1 inhibitors and glucagon-like peptide 1 receptor agonists may find use in management in the future. Despite these rapid advances in the field, people living in under-resourced parts of the world struggle to obtain necessities such as insulin, syringes, and blood glucose monitoring essential for managing this condition. This review covers recent developments in diagnosis and treatment and future directions in the broad field of type 1 diabetes.

2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2024

The American Diabetes Association (ADA) "Standards of 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, an interprofessional expert committee, 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 and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Differential evolution of diabetic ketoacidosis in adults with pre-existent versus newly diagnosed type 1 and type 2 diabetes mellitus

BACKGROUND

Diabetic ketoacidosis (DKA) was once known to be specific to type-1 diabetes-mellitus (T1D); however, many cases are now seen in patients with type-2 diabetes-mellitus (T2D). Little is known about how this etiology shift affects DKA's outcomes.

METHODS

We studied consecutive index DKA admissions from January 2015 to March 2021. Descriptive analyses were performed based on pre-existing T1D and T2D (PT1D and PT2D, respectively) and newly diagnosed T1D and T2D (NT1D and NT2D, respectively).

RESULTS

Of the 922 patients, 480 (52%) had T1D, of which 69% had PT1D and 31% NT1D, whereas 442 (48%) had T2D, of which 60% had PT2D and 40% NT2D. The mean age was highest in PT2D (47.6 ± 13.1 years) and lowest in PT1D (27.3 ± 0.5 years) (P < 0.001). Patients in all groups were predominantly male except in the PT1D group (55% females) (P < 0.001). Most patients were Arabic (76% in PT1D, 51.4% in NT1D, 46.6% in PT2D) except for NT2D, which mainly comprised Asians (53%) (P < 0.001). Patients with NT2D had the longest hospital length of stay (LOS) (6.8 ± 11.3 days) (P < 0.001), longest DKA duration (26.6 ± 21.1 h) (P < 0.001), and more intensive-care unit (ICU) admissions (31.2%) (P < 0.001). Patients with PT1D had the shortest LOS (2.5 ± 3.5 days) (P < 0.001), DKA duration (18.9 ± 4.2 h) (P < 0.001), and lowest ICU admissions (16.6%) (P < 0.001).

CONCLUSIONS/INTERPRETATION

We presented the largest regional data on differences in DKA based on the type and duration of diabetes- mellitus (DM), showing that T2D is becoming an increasing cause of DKA, with worse clinical outcomes (especially newly diagnosed T2D) compared to T1D.

Epidemiology of Diabetic Ketoacidosis in the Waikato Region of New Zealand: 2000-2019

Aims

Diabetic ketoacidosis (DKA) is not well characterised in New Zealand. This study is aimed at characterising the change in epidemiology and severity of DKA from 2000 to 2019 at a tertiary hospital in the Waikato region of New Zealand.

Methods

A retrospective clinical data review of all patients admitted to Waikato District Health Board hospitals with DKA was undertaken. Characteristics and severity of DKA were assessed by type of DKA admission (diagnosed at admission, nonrecurrent, and recurrent), ethnicity, social deprivation, intensive care unit (ICU) admission, and length of hospital stay, with linear regression reporting on changes over time.

Results

There were 1254 admissions for DKA (564 individual patients), two-thirds being recurrent events. Nonrecurrent DKA patients were younger, whilst recurrent admissions for DKA were associated with T1D, female gender, greater socioeconomic deprivation, and rural living (all P values < 0.01). DKA admission increased 8-fold between 2000 and 2019, mostly due to an increased number of recurrent events, particularly in Māori and female patients (P < 0.001). ICU admissions increased over time (P < 0.001) whilst length of hospital stay trended down (P = 0.031).

Conclusions

The rise in recurrent DKA is concerning, particularly in youth and indigenous Māori. Healthcare inequities need to be addressed, including adequate access to mental health support to ensure optimal outcomes for all patients with diabetes.

Uncovering the alarming rise of diabetic ketoacidosis during COVID-19 pandemic: a pioneer African study and review of literature

Introduction

Reports around the world indicate that COVID-19 pandemic may be contributing to an increase in the incidence of new onset diabetic ketoacidosis (DKA). This has yet to be studied in Africa. We aimed to compare the incidence trend of new onset DKA before and during the COVID-19 pandemic, with a focus on the type of diabetes mellitus (DM).Materials and methodsThis was a cross sectional analytical study, over a 4-year period, between March 2018 until February 2022 conducted in the referral center: diabetology department of university hospital Farhat Hached Sousse, Tunisia. The study population included patients hospitalized for new onset DKA divided in two groups: G1: before COVID-19 pandemic and G2: during COVID-19 pandemic. Patients younger than 14, new onset DM not presenting with DKA, other types of diabetes (monogenic, secondary or pancreatic diabetes) were not included. A statistical analysis of the monthly incidence trend was conducted using the Jointpoint software providing the average monthly percentage of change (AMPC).

Results

a total of 340 patients were included:137 registered before the pandemic and 203 during the pandemic, representing a 48.17% increase. The mean monthly incidence of new onset DKA during COVID-19 pandemic was statistically higher than that before COVID-19 pandemic (8.42 ± 4.87 vs 5.75 ± 4.29 DKA per month) (p=0.049). The temporal trend of DKA during the 4-year study showed a significant upward trend with a change in AMPC of +0.2% (p=0.037). The incidence of type 1 diabetes (T1D) and type 2 diabetes (T2D) increased by 50% and 44% respectively during COVID-19 pandemic. Anti-glutamic acid decarboxylase (anti-GAD) antibodies' titers significantly increased in G2 compared with G1 (median of 330[Q1-Q3]=[58.5-1795]vs 92.5[Q1-Q3]=[22.5-1074] respectively)(p=0.021).

Discussion

The incidence trend of DKA showed an increase during the COVID-19 pandemic along with an increase of T1D and T2D implying that the pandemic may have been the underlying factor of this upward trend.

Diabetes mellitus-related hospital admissions and prescriptions of antidiabetic agents in England and Wales: an ecological study

BACKGROUND

Around 6.5% of the population in the United Kingdom has been diagnosed with diabetes. It is associated with several long-term consequences and higher hospitalization rates.

AIM

To examine the profile of hospital admissions related to diabetes mellitus and the prescription rates of antidiabetic medications in England and Wales.

METHOD

This is an ecological study that was conducted for the period between April 1999 and April 2020 using publicly available hospitalisation data in England and Wales. Hospital admission data for patients of all ages was extracted from Hospital Episode Statistics in England and the Patient Episode Database for Wales. The difference between admission rates in 1999 and 2020, as well as the difference between diabetes mellitus medication prescription rates in 2004 and 2020, were assessed using the Pearson Chi-squared test. A Poisson regression model with robust variance estimation was used to examine the trend in hospital admissions.

RESULTS

A total of 1,757,892 diabetes mellitus hospital admissions were recorded in England and Wales during the duration of the study. The hospital admission rate for diabetes mellitus increased by 15.2%. This increase was concomitant with an increase in the antidiabetic medication prescribing rate of 105.9% between 2004 and 2020. Males and those in the age group of 15-59 years had a higher rate of hospital admission. The most common causes of admissions were type 1 diabetes mellitus related complications, which accounted for 47.1% of all admissions.

CONCLUSION

This research gives an in-depth overview of the hospitalization profile in England and Wales during the previous two decades. In England and Wales, people with all types of diabetes and related problems have been hospitalized at a high rate over the past 20 years. Male gender and middle age were significant determinants in influencing admission rates. Diabetes mellitus type 1 complications were the leading cause of hospitalizations. We advocate establishing preventative and educational campaigns to promote the best standards of care for individuals with diabetes in order to lower the risk of diabetes-related complications.

Increased risk of death following recurrent ketoacidosis admissions: a Brazilian cohort study of young adults with type 1 diabetes

BACKGROUND

Recurrent DKA (rDKA) remains an acute type 1 diabetes complication even in post-insulin era. This study aimed to analyze the predictors and effects of rDKA on the mortality of patients with type 1 diabetes.

METHODS

Patients hospitalized (n = 231) wih diabetic ketoacidosis (between 2007 and 2018) were included. Laboratorial and clinical variables were collected. Mortality curves were compared in four groups: diabetic ketoacidosis as a new-onset type 1 diabetes (group A), single diabetic ketoacidosis episode after diagnosis of type 1 diabetes (group B), 2-5 diabetic ketoacidosis events (group C), and > 5 diabetic ketoacidosis events during follow-up period (group D).

RESULTS

During the follow-up period (approximately 1823 days), the mortality rate was 16.02% (37/231). The median age at death was 38.7 years. In the survival curve analysis, at 1926 days (5 years), the probabilities of death were indicated by ratios of 7.78%, 4.58%, 24.40%, and 26.63% in groups A, B, C, and D, respectively. One diabetic ketoacidosis episode compared with ≥ 2 events had a relative risk of 4.49 (p = 0.004) of death and > 5 events had 5.81 (p = 0.04). Neuropathy (RR 10.04; p < 0.001), retinopathy (relative risk 7.94; p < 0.01), nephropathy (RR 7.10; p < 0.001), mood disorders (RR 3.57; p = 0.002), antidepressant use (RR 3.09; p = 0.004), and statin use (RR 2.81; p = 0.0024) increased the risk of death.

CONCLUSIONS

Patients with type 1 diabetes with > 2 diabetic ketoacidosis episodes have four times greater risk of death in 5 years. Microangiopathies, mood disorders, and use of antidepressants and statins were important risk factors for short-term mortality.

Bacteremia in patients with diabetic ketoacidosis: a cross-sectional study

OBJECTIVES

To determine the incidence of bacteremia in patients with DKA.

METHODS

We conducted a cross-sectional study of patients aged 18 years and older with a principal diagnosis of DKA or hyperglycemic hyperosmotic syndrome (HHS) who presented to our community hospital between 2008 and 2020. Using medical records from initial visits, we retrospectively calculated the incidence of bacteremia. This was defined as the percentage of subjects with positive blood cultures except for those with contamination.

RESULTS

Among 114 patients with hyperglycemic emergency, two sets of blood cultures were collected in 45 of 83 patients with DKA (54%), and 22 of 31 patients with HHS (71%). The mean age of patients with DKA was 53.7 years (19.1) and 47% were male, while the mean age of patients with HHS was 71.9 years (14.9) and 65% were male. The incidences of bacteremia and blood culture positivity were not significantly different between patients with DKA and those with HHS (4.8% vs. 12.9%, P = 0.21 and 8.9% vs. 18.2%, P = 0.42, respectively). Urinary tract infection was the most common concomitant infection of bacteria, with E. coli as the main causative organism.

CONCLUSION

Blood cultures were collected in approximately half of the patients with DKA, despite a nonnegligible number of them testing positive in blood culture. Promoting awareness of the need for taking blood culture is imperative for the early detection and management of bacteremia in patients with DKA.

CLINICAL TRIAL REGISTRATION

UMIN trial ID - UMIN000044097; jRCT trial ID - jRCT1050220185.

Machine learning prediction models and nomogram to predict the risk of in-hospital death for severe DKA: A clinical study based on MIMIC-IV, eICU databases, and a college hospital ICU

AIM

To establish a prediction model and assess the risk factors for severe diabetic ketoacidosis (DKA) in adult patients during the ICU.

INTRODUCTION

With DKA hospitalization rates consistently increasing, in-hospital mortality has become a growing concern.

METHODS

DKA patients aged >18 years old in the US-based critical care database (Medical Information Mart for Intensive Care (MIMIC-IV)) were considered. Independent risk factors for in-hospital mortality were screened using extreme gradient boosting (XGBoost) and the Bayesian information criterion (BIC) optimal subset regression. One predictive model was developed using machine learning extreme gradient boosting (XGBoost), and the other one was a nomogram based on logistic regression to estimate risks of in-hospital mortality with severe DKA. Established models were assessed by using internal validation and external validation. The MIMIC-IV was split into training and testing samples in a 7:3 ratio. The eICU Collaborative Research Database and admissions data from the department of critical care medicine of the first affiliated hospital of Harbin medical university were used for independent validation. The discriminatory ability of the model was determined by illustrating a receiver operating curve (ROC) and calculating the C-index. Meanwhile, the calibration plot and Hosmer-Lemeshow goodness-of-fit test (HL test) was conducted to evaluate the performance of our new build model. Decision curve analysis (DCA) was performed to assess the clinical net benefit. Net Reclassification Improvement (NRI) was used to compare the predictive power of the two models.

RESULTS

A multivariable model that included acute physiology score III (APS III), the highest levels of blood plasma osmolality (osmolarity_max), minimum osmolarity (osmolarity_min)/osmolarity _max, vasopressor, and the highest levels of blood lactate was represented as the nomogram. The C- index of the nomogram model was 0.915 (95% CI: 0.966-0.864) in the training dataset and 0.971 (95% CI: 0.992-0.950) in the internal validation. The nomogram's sensitivity was well according to all data's HL test (P > 0.05). DCA showed that our model was clinically valuable. The XGB (extreme gradient boosting) model achieved an AUC (area under the curve) of 0.950 (95% CI, 0.920-0.980); however, the nomogram model made was more effective than XGB based on NRI.

CONCLUSION

The predictive XGB and nomogram models for predicting in-hospital patient deaths with DKA were effective. The forecast models can help clinical physicians promptly identify patients at high risk of DKA, prevent in-hospital deaths, and promptly intervene.

Hospital presentations with diabetic ketoacidosis: A retrospective review

BACKGROUND

Diabetic ketoacidosis (DKA) is a significant source of preventable episodes of care and cost. This study aimed to describe the demographic and clinical characteristics of people with type 1 diabetes (T1D) presenting to the Emergency Department (ED) with DKA in an area of socio-economic deprivation in metropolitan Queensland, Australia, and to describe factors associated with hospital admission and re-presentation in this population.

METHODS

This was a retrospective descriptive analysis of routine healthcare record data for January 2015-December 2019. People with T1D were identified through hospital discharge codes.

RESULTS

More than half (n = 165) the estimated local T1D population (n = 317) experienced an index ED presentation for DKA; mean±SD age at ED presentation was 31.1 + /- 19.3 years, 126 (76.4%) were aged ≥ 16 years and 20 (12.1%) were newly diagnosed. Index DKA presentation was significantly associated with female sex (p = 0.04) but no other demographic or geographic variables. More than half the presentations (n = 92, 55.8%) occurred outside regular business hours. Twenty-three representations occurred within 90 days, associated with older age (p = 0.045) and lower residential socio-economic score (p = 0.02).

CONCLUSION

Findings highlight the frequent problem of DKA and the importance of socio-economic influences. This flags the need and opportunity to improve support to people with T1D to promote diabetes self-care.

Effectiveness and safety of early insulin glargine administration in combination with continuous intravenous insulin infusion in the management of diabetic ketoacidosis: A randomized controlled trial

AIM

To determine the effectiveness and safety of early combination of insulin glargine with intravenous (IV) insulin infusion compared with IV insulin infusion alone in the management of diabetic ketoacidosis (DKA).

METHODS

This was a single-centre, open-label, randomized controlled trial of adults aged 18 years or older diagnosed with DKA. The 'early glargine' group was given subcutaneous insulin glargine 0.3 units/kg within the first 3 hours of DKA diagnosis, in addition to the standard IV insulin infusion. The control group received standard IV insulin treatment only. The primary outcome was the time to DKA resolution. The other outcomes included rebound hyperglycaemia, mortality, hypoglycaemia and hypokalaemia, as well as the length of hospital stay (LOS).

RESULTS

A total of 60 patients (30 patients per group) were enrolled. Most patients (76.7%) had type 2 diabetes. Both groups were similar in baseline characteristics, except for higher serum beta-hydroxybutyrate and lower pH levels in the early glargine group. The mean ± standard deviation time to DKA resolution in the early glargine group was significantly faster than the control group (9.89 ± 3.81 vs. 12.73 ± 5.37 hours; P = .022). The median (interquartile range) LOS was significantly shorter in the early glargine group than in the control group (4.75 [3.53-8.96] vs. 15.25 [5.71-26.38] days; P = .024). The incidence of rebound hyperglycaemia, all-cause mortality, hypoglycaemia and hypokalaemia was similar between the groups.

CONCLUSIONS

Early combination of insulin glargine with IV insulin infusion led to a faster DKA resolution and a shorter LOS, without increasing hypoglycaemia and hypokalaemia.

Clinical Characteristics and Outcomes of Diabetic Ketoacidosis in Patients With Type 2 Diabetes using SGLT2 Inhibitors

Background

Sodium glucose cotransporter 2 inhibitors (SGLT2i) use is associated with an increased risk of diabetic ketoacidosis (DKA).

Objective

This study evaluated and compared the DKA characteristics and outcomes of users and non-users of SGLT2i.

Methods

We retrospectively studied patients with type 2 diabetes mellitus (T2DM) admitted with DKA to Tawam Hospital, Al Ain City, UAE between January 2017 and March 2021. Demographic data, clinical, and laboratory findings were extracted from the electronic medical records.

Results

A total of 55 patients with T2DM (62% UAE nationals, 50% women) were admitted with DKA. The average age was 54.0 ± 18.9 years and average diabetes duration of 15.7 ± 15.1 years. Seventeen patients (31%) were using SGLT2i. Infection was the main precipitating factor for DKA in (8 out of 17) SGLT2i users. Compared to non-users, SGLT2i users had lower systolic blood pressure (119.9 vs 140 mmHg; P = .012) and serum glucose levels (16.2 vs 24.9 mmol/L; P < .001) and higher Na level (137.5 vs 132.6 mmol/L; P = .005). Additionally, 56.3% of SGLT2i users had euglycemic DKA compared to 2.6% of nonusers (P < .001). Acute kidney injury (AKI) occurred more in SGLT2i users compared to non-users (94.1% vs 67.6%, P = .043). Further analysis revealed that SGLT2i users were about five times more likely to have prolonged hospital length of stay (⩾14 days) when compared with non-users (adjusted OR: 4.84; P = .035). Overall, there was no difference between the two groups with regards to DKA complications and mortality.

Conclusions

SGLT2i related DKA is associated with lower blood glucose levels, lower SBP, worse hypovolemia, increased risk of AKI, and longer hospital stay when compared to non SGLT2i related episodes. Since the benefits of SGLT2 inhibitors far outweigh potential risks, there is a need to raise healthcare professionals and patients' awareness about this potential association.

Diabetes and the COVID-19 pandemic

Almost immediately after the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus emerged, it was evident that people with chronic diseases, including diabetes, were disproportionately affected, with an increased risk of hospitalisation and mortality. Over the ensuing 2 years, the indirect effects of the pandemic on healthcare delivery in the short term have become prominent, along with the lingering effects of the virus in those directly infected. In the wake of the pandemic and without any evidence from high quality studies, a number of national and international consensus recommendations were published, which were subsequently rapidly updated based on observational studies. There have been unprecedented disruptions from both direct and indirect impacts of coronavirus disease-2019 (COVID-19) in people with diabetes. In this review, we summarise the impact of acute COVID-19 in people with diabetes, discuss how the presentation and epidemiology during the pandemic, including presentation of diabetic ketoacidosis and new-onset diabetes, has changed, and we consider the wider impact of the pandemic on patients and healthcare service delivery, including some of the areas of uncertainty. Finally, we make recommendations on prioritising patients as we move into the recovery phase and also how we protect people with diabetes for the future, as COVID-19 is likely to become endemic.

2. Classification and Diagnosis of Diabetes: Standards of Care in Diabetes-2023

The American Diabetes Association (ADA) "Standards of 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, 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 and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Treatment Considerations and Pharmacist Collaborative Care in Diabetic Ketoacidosis Management

Diabetic ketoacidosis (DKA) is a medical emergency caused by the lack of insulin. Metabolic acidosis, hyperglycemia, and ketoacidosis are its defining features. Insulin deficiency can cause DKA either in the presence or absence of a triggering event causing a chain of pathophysiological changes. Normalizing volume status, hyperglycemia, electrolytes, and ketoacidosis are the objectives of DKA treatment. While hospital pharmacists are involved in managing DKA, community or ambulatory care pharmacists can help to prevent DKA. Depending on the particular field of practice, a pharmacist’s engagement in DKA may involve a number of factors. Inpatient pharmacists are in a good position to help with the acute care of DKA. Because they can recognize patients who are at risk for DKA due to factors including medication nonadherence or insulin pump failure, pharmacists in the community or ambulatory-care environment play a crucial role in its prevention. When a patient finds it challenging to navigate prescription plan coverage or a lack of coverage, community pharmacists can help them obtain insulin. Regardless of the professional environment, patient education is essential. Every pharmacist has the ability to give DKA patients thorough medication education that emphasizes the value of adhering to their drug schedule, addresses any obstacles that may occur, and teaches patients how to correctly monitor their blood glucose levels. Studies showed that pharmacists’ medication counseling and treatment monitoring could improve adherence to insulin medication. The aim of this review is to provide evidence that pharmacists can contribute to optimizing medication adherence and decrease the incidence of DKA.

Clinical characteristics and outcomes of care in patients hospitalized with diabetic ketoacidosis

AIMS

To assess the clinical characteristics and outcomes of patients hospitalized with DKA.

METHODS

We examined the hospital database for patients admitted with DKA to all government hospitals in Qatar over 6 years.

RESULTS

We evaluated a total of 1330 patients [(37.3 % with type 1 diabetes (T1DM) and 62.7 % with type 2 diabetes (T2DM)] with 1613 episodes of DKA. Patients with T2DM were older than those with T1DM [48.0 (38.0-60.0), 26.0 (21.0-31.0) years] while there was no difference in DKA severity and laboratory values on admission or time to resolution of DKA. Admission to the intensive care unit was higher (38.9 % vs. 26.6 %; P < 0.001) with a longer hospital stay [5 (2.0-9.0) vs. 2 (2.0-4.0) days, P < 0.001] and markedly higher mortality (7.4 % vs. 1 %; P < 0.001) in patients with T2DM compared to T1DM. On multivariable logistic regression analysis, significant predictors of mortality were older age (odds ratio, 1.11; 95 % CI, 1.07-1.15; P = 0.0001), and admission to the intensive care unit (odds ratio, 3.61; 95 % CI, 1.69-7.72;P = 0.001).

CONCLUSION

In this national cohort of patients hospitalized with DKA, those with T2DM had a 7-fold increase in inpatient mortality associated with older age and admission to the intensive care unit.

SGLT-2 inhibitor associated euglycaemic diabetic ketoacidosis in an orthopaedic trauma patient

Euglycaemic diabetic ketoacidosis is a serious but rare adverse effect of treatment with sodium-glucose cotransporter-2 (SGLT-2) inhibitors. A man in his 60s with type 2 diabetes mellitus underwent total hip replacement for an intracapsular neck of femur fracture. His SGLT-2 inhibitor was continued perioperatively and blood glucose levels were normal throughout the admission. A diagnosis of severe euglycaemic diabetic ketoacidosis was made in the operating theatre which required treatment in a critical care unit. This resulted in increased morbidity due to decreased postoperative mobilisation and a new requirement for subcutaneous insulin. This case highlights the need for withholding SGLT-2 inhibitors in patients admitted for emergency surgery and a need for regular ketone monitoring in these patients, even in the context of normoglycaemia.

Clinical and biochemical characteristics of diabetic ketoacidosis in adults with type 1 or type 2 diabetes at a tertiary hospital in the United Arab Emirates

Background

Diabetes ketoacidosis (DKA) is a well-known acute complication of diabetes. This study aims to describe the sociodemographic, clinical, and biochemical characteristics of adult patients with different diabetes types and DKA severities attending a tertiary hospital in the UAE.

Methods

We retrospectively extracted sociodemographic, clinical, and laboratory data from the electronic medical records of 220 adult patients with DKA admitted to Tawam Hospital between January 2017 and October 2020.Results: The average age was 30.6 ± 16.6 years of whom 54.5% were women, 77.7% were UAE nationals and 77.9% were Type 1 diabetes (T1DM). 12.7% were newly diagnosed with diabetes. Treatment noncompliance (31.4%), and infection (26.4%) were the main precipitating factors. Most patients presented with moderate DKA (50.9%). Compared to T1DM, patients with Type 2 diabetes (T2DM) were older (53.6 vs 23.9 years, p < 0.001), had longer hospital stay (12.1 days vs 4.1 days, p < 0.001), had more complications (52.1%, vs 18.9% p <0.001), and a higher mortality rate (6.3% vs 0.6%, p = 0.035). Patients with severe DKA had a shorter diabetes duration compared to mild and moderate DKA (5.7 vs 11.0 vs 11.7 years, respectively, p = 0.007), while complications were significantly lower in the mild group compared to both the moderate and severe groups (11.6% vs 32.1% vs 33.3%, respectively).

Conclusion

The risk of DKA is higher for patients with T1DM than for those with T2DM. The clinical characteristics and outcomes of patients with T2DM differ from those with T1DM highlighting the importance of educating all patients about DKA.

Safety and Efficacy of Eucaloric Very Low-Carb Diet (EVLCD) in Type 1 Diabetes: A One-Year Real-Life Retrospective Experience

A eucaloric very low carbohydrate diet (EVLCD) is a diet with a daily caloric intake equal to the total daily energy expenditure (TDEE) with a carbohydrate content of <50 g/day. The literature on very low carbohydrate diets (VLCD) in type 1 diabetes (DM 1) is limited, although recently published scientific studies have highlighted their safety and efficacy in managing DM 1. In this retrospective analysis, we report the clinical data of 33 patients affected by DM 1 carrying out insulin therapy who switched voluntarily from their usual diet (high carb, low fat) to an EVLCD. Our aim is to evaluate the glycemic control, the amount of insulin needed in order to maintain glycemic control and safety of EVLCD. The switch improved glycemic control (mean glycated hemoglobin decreased from 8.3% to 6.8% (p < 0.01). The number of patients who reached a glycated hemoglobin value of <7% increased statistically from 12% to 57% (p < 0.01), and there was a statistically significant decrease (p < 0.01) in the units of daily insulin (from 36.7± 14.9 IU to 28.9 ±9.1 IU) A reduction from 54% to 24% in clinical level 2 hypoglycemia episodes was reported. No cases of severe hypoglycemia or ketoacidosis were observed. The results of the study support that EVLCD in DM 1 seems safe and effective when adopted under tight medical supervision.

What Is the Optimal Speed of correction of the Hyperosmolar Hyperglycemic State in Diabetic Ketoacidosis? An Observational Cohort Study of U.S. Intensive Care Patients

OBJECTIVE

The international guidelines for the treatment of diabetic ketoacidosis (DKA) advise against rapid changes in osmolarity and glucose; however, the optimal rates of correction are unknown. We aimed to evaluate the rates of change in tonicity and glucose level in intensive care patients with DKA and their relationship with mortality and altered mental status.

METHODS

This is an observational cohort study using 2 publicly available databases of U.S. intensive care patients (Medical Information Mart for Intensive Care-IV and Electronic Intensive Care Unit), evaluating adults with DKA and associated hyperosmolarity (baseline Osm ≥300 mOsm/L). The primary outcome was hospital mortality. The secondary neurologic outcome used a composite of diagnosed cerebral edema or Glasgow Coma Scale score of ≤12. Multivariable regression models were used to control for confounding factors.

RESULTS

On adjusted analysis, patients who underwent the most rapid correction of up to approximately 3 mmol/L/hour in tonicity had reduced mortality (n = 2307; odds ratio [OR], 0.21; overall P < .001) and adverse neurologic outcomes (OR, 0.44; P < .001). Faster correction of glucose levels up to 5 mmol/L/hour (90 mg/dL/hour) was associated with improvements in mortality (n = 2361; OR, 0.24; P = .020) and adverse neurologic events (OR, 0.52; P = .046). The number of patients corrected significantly faster than these rates was low. A maximal hourly rate of correction between 2 and 5 mmol/L for tonicity was associated with the lowest mortality rate on adjusted analysis.

CONCLUSION

Based on large-volume observational data, relatively rapid correction of tonicity and glucose level was associated with lower mortality and more favorable neurologic outcomes. Avoiding a maximum hourly rate of correction of tonicity >5 mmol/L may be advisable.

Precipitating factors of diabetic ketoacidosis in type 1 diabetes patients at a tertiary hospital: a cross-sectional study with a two-time-period comparison

Objective

To evaluate the precipitating factors of diabetic ketoacidosis (DKA) in patients with type 1 diabetes hospitalized through the emergency department of a tertiary hospital.

Materials and methods

Individuals with type 1 diabetes hospitalized for DKA from January 2005 to March 2010 (first period [P1], n = 75) and from April 2010 to January 2017 (second period [P2], n = 97) were identified through a query of electronic medical records. Data were collected by reviewing medical records. Only the first hospitalization of each participant in each period was included.

Results

In P2, 44 patients (45.4%) were women, mean age was 26.2 ± 14.5 years, and 74 patients (76.3%) had a previous diagnosis of type 1 diabetes. Only 1 patient had glycated haemoglobin (HbA1c) below 64 mmol/mol (8.0%). Most patients (62.2%) had had a previous episode of DKA. In P1, non-adherence was the main cause of DKA (38.7%), followed by infection (24.0%). In P2, these rates were 34.0% and 24.7%, respectively; no statistical difference was observed between the two study periods (p = 0.790).

Conclusion

Over time, non-adherence remained the main precipitating factor of DKA, followed by infection, and no significant difference was observed between the two study periods. Elevated HbA1c, outside the therapeutic range, indicates suboptimal diabetes care and may explain, at least in part, poor adherence as a precipitating factor of decompensation. Health strategies, such as improved self-management of type 1 diabetes, may contribute to a future reduction in DKA episodes.

The management of diabetic ketoacidosis in adults-An updated guideline from the Joint British Diabetes Society for Inpatient Care

This article summarises the Joint British Diabetes Societies for Inpatient Care guidelines on the management of ketoacidosis; available at https://abcd.care/resource/management-diabetic-ketoacidosis-dka-adults. The document explicitly states that when a person aged 16-18 is under the care of the paediatric team, then the paediatric guideline should be used, and if they are cared for by an adult team, then this guideline should be used. The guideline takes into account new evidence on the use of the previous version of this document, particularly the high prevalence of hypoglycaemia and hypokalaemia, and recommends that when the glucose concentration drops below 14 mmol/L, that de-escalating the insulin infusion rate from 0.1 to 0.05 units/kg/h should be considered. Furthermore, a section has been added to address the recognition that use of sodium glucose co-transporter 2 inhibitors is associated with an increased risk of euglycaemic ketoacidosis. The management of ketoacidosis in people with end-stage renal failure or on dialysis is also mentioned. Finally, the algorithms to illustrate the guideline have been updated.

Continuous Ketone Monitoring Consensus Report 2021

This article is the work product of the Continuous Ketone Monitoring Consensus Panel, which was organized by Diabetes Technology Society and met virtually on April 20, 2021. The panel consisted of 20 US-based experts in the use of diabetes technology, representing adult endocrinology, pediatric endocrinology, advanced practice nursing, diabetes care and education, clinical chemistry, and bioengineering. The panelists were from universities, hospitals, freestanding research institutes, government, and private practice. Panelists reviewed the medical literature pertaining to ten topics: (1) physiology of ketone production, (2) measurement of ketones, (3) performance of the first continuous ketone monitor (CKM) reported to be used in human trials, (4) demographics and epidemiology of diabetic ketoacidosis (DKA), (5) atypical hyperketonemia, (6) prevention of DKA, (7) non-DKA states of fasting ketonemia and ketonuria, (8) potential integration of CKMs with pumps and automated insulin delivery systems to prevent DKA, (9) clinical trials of CKMs, and (10) the future of CKMs. The panelists summarized the medical literature for each of the ten topics in this report. They also developed 30 conclusions (amounting to three conclusions for each topic) about CKMs and voted unanimously to adopt the 30 conclusions. This report is intended to support the development of safe and effective continuous ketone monitoring and to apply this technology in ways that will benefit people with diabetes.

Trends in the Incidence of Hospitalization for Major Diabetes-Related Complications in People With Type 1 and Type 2 Diabetes in Australia, 2010-2019

OBJECTIVE

To determine trends in the incidence of major diabetes-related complications in Australia.

RESEARCH DESIGN AND METHODS

This study included 70,885 people with type 1 and 1,089,270 people with type 2 diabetes registered on the Australian diabetes registry followed from July 2010 to June 2019. Outcomes (hospitalization for myocardial infarction [MI], stroke, heart failure [HF], lower-extremity amputation [LEA], hypoglycemia, and hyperglycemia) were obtained via linkage to hospital admissions databases. Trends over time in the age-adjusted incidence of hospitalizations were analyzed using joinpoint regression and summarized as annual percent changes (APCs).

RESULTS

In type 1 diabetes, the incidence of all complications remained stable, except for stroke, which increased from 2010-2011 to 2018-2019 (financial years; APC: +2.5% [95% CI 0.1, 4.8]), and hyperglycemia, which increased from 2010-2011 to 2016-2017 (APC: +2.7% [1.0, 4.5]). In type 2 diabetes, the incidence of stroke remained stable, while the incidence of MI decreased from 2012-2013 to 2018-2019 (APC: -1.7% [95% CI -2.8, -0.5]), as did the incidence of HF and hypoglycemia from 2010-2011 to 2018-2019 (APCs: -0.8% [-1.5, 0.0] and -5.3% [-6.7, -3.9], respectively); the incidence of LEA and hyperglycemia increased (APCs: +3.1% [1.9, 4.4], and +7.4% [5.9, 9.0]). Most trends were consistent by sex, but differed by age; in type 2 diabetes most improvements were confined to individuals aged ≥60 years.

CONCLUSIONS

Trends in admissions for diabetes-related complications were largely stable in type 1 diabetes. In type 2 diabetes, hospitalization rates for MI, HF, and hypoglycemia fell over time, while increasing for LEA and hyperglycemia.

Comparison of cognitive function in older adults with type 1 diabetes, type 2 diabetes, and no diabetes: results from the Study of Longevity in Diabetes (SOLID)

INTRODUCTION

The incidence of both type 1 diabetes (T1D) and type 2 diabetes (T2D) is increasing. Life expectancy is improving in T1D, resulting in a growing population of elderly adults with diabetes. While it is well established that older adults with T2D are at increased risk of cognitive impairment, little is known regarding cognitive aging in T1D and how their cognitive profiles may differ from T2D.

RESEARCH DESIGN AND METHODS

We compared baseline cognitive function and low cognitive function by diabetes status (n=734 T1D, n=232 T2D, n=247 without diabetes) among individuals from the Study of Longevity in Diabetes (mean age=68). We used factor analysis to group cognition into five domains and a composite measure of total cognition. Using linear and logistic regression models, we examined the associations between diabetes type and cognitive function, adjusting for demographics, comorbidities, depression, and sleep quality.

RESULTS

T1D was associated with lower scores on total cognition, language, executive function/psychomotor processing speed, and verbal episodic memory, and greater odds of low executive function/psychomotor processing speed (OR=2.99, 95% CI 1.66 to 5.37) and verbal episodic memory (OR=1.92, 95% CI 1.07 to 3.46), compared with those without diabetes. T2D was associated with lower scores on visual episodic memory. Compared with T2D, T1D was associated with lower scores on verbal episodic memory and executive function/psychomotor processing speed and greater odds of low executive function/psychomotor processing speed (OR=1.74, 95% CI 1.03 to 2.92).

CONCLUSIONS

Older adults with T1D had significantly poorer cognition compared with those with T2D and those without diabetes even after accounting for a range of comorbidities. Future studies should delineate how to reduce risk in this vulnerable population who are newly surviving to old age.

Saline Compared to Balanced Crystalloid in Patients With Diabetic Ketoacidosis: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

OBJECTIVES

This systematic review and meta-analysis compared the use of saline to balanced crystalloid for fluid resuscitation in patients with diabetic ketoacidosis (DKA).

DATA SOURCES

We searched databases including Medline, Embase, and the Cochrane registry.

STUDY SELECTION

We included randomized controlled trials (RCTs) that compared saline to balanced crystalloid in patients with DKA.

DATA EXTRACTION

We pooled estimates of effect using relative risk for dichotomous outcomes and mean differences (MDs) for continuous outcomes, both with 95% CIs. We assessed risk of bias for included RCTs using the modified Cochrane tool and certainty of evidence using Grading of Recommendations, Assessment, Development, and Evaluation methodology.

DATA SYNTHESIS

We included eight RCTs (n = 482 patients). Both time to DKA resolution (MD, 3.51 hr longer; 95% CI, 0.90 longer to 6.12 longer; moderate certainty) and length of hospital stay (MD, 0.89 d longer in saline group; 95% CI, 0.34 longer to 1.43 d longer; moderate certainty) are probably longer in the saline group compared with the balanced crystalloid group, although for the latter, the absolute difference (under 1 d) is small. Post-resuscitation serum chloride level may be higher (MD, 1.62 mmol/L higher; 95% CI, 0.40 lower to 3.64 higher; low certainty), and post-resuscitation serum bicarbonate is probably lower (MD, 1.50 mmol/L; 95% CI, 2.33 lower to 0.67 lower; moderate certainty) in those receiving saline.

CONCLUSIONS

In patients with DKA, the use of saline may be associated with longer time to DKA resolution, higher post-resuscitation serum chloride levels, lower post-resuscitation serum bicarbonate levels, and longer hospital stay compared with balanced crystalloids. Pending further data, low to moderate certainty data support using balanced crystalloid over saline for fluid resuscitation in patients with DKA.

Comparisons of biochemical parameters and diabetic ketoacidosis severity in adult patients with type 1 and type 2 diabetes

OBJECTIVE

The aim of this study was to determine the differences in biochemical parameters and diabetic ketoacidosis (DKA) severity in adult patients with type 1 and type 2 diabetes and utilization of serum BHB as a biomarker for DKA resolution was also evaluated.

MATERIALS AND METHODS

This prospective observational study of type 1 or type 2 diabetes mellitus who were diagnosed with DKA between 01 October 2018 and 30 September 2020. The correlations between serum BHB, measured by the Ranbut assay, and pH, bicarbonate, and anion gap were examined.

RESULTS

A total of 99 diabetes patients were diagnosed with DKA (mean age 39.4 years, 63.4% female, 53.6% T2DM). while infection was the most common precipitating factor in T2DM (43.4%), non-compliance with treatment was the most common precipitating factor in T1DM (43.5%). T1DM patients had more severe DKA more hypokalemia during treatment. However, there was no significant difference in mortality between type1 and type2 diabetes. The initial laboratories evaluation of patients did not significant differ between type1 and type2 diabetes. Serum BHB during treatment of DKA was significantly correlated with changes in serum bicarbonate (r = - 0.64), serum anion gap (r = 0.84), and venous pH (r = - 0.6). The serum BHB levels corresponding to HCO₃ levels for DKA severity were 4.5, 5.7, and 5.9 mmol/L in mild, moderate, and severe DKA, respectively. The serum BHB level of < 1 mmol/L had 73.7% sensitivity and 100% specificity to predict DKA resolution. Median time to resolution of DKA was 12 h with an optimized BHB cut-off value of < 1 mmol/L. There were no significant difference in time to resolution of DKA in the patients with type 1 and type 2 diabetes.

CONCLUSIONS

There are no differences in DKA-related biochemical parameters between type 1 and type 2 diabetes patients. The present findings suggest that DKA should be assessed and treated similarly, regardless of its occurrence in type 1 or type 2 diabetes patients.

Clinical Characteristics Associated with the Development of Diabetic Ketoacidosis in Patients with Type 2 Diabetes

Objective This study analyzed the clinical and laboratory parameters that might influence the clinical outcomes of patients with type 2 diabetes who develop diabetic ketoacidosis (DKA), which has not been well investigated. Methods We reviewed the clinical and laboratory data of 158 patients who were hospitalized due to DKA between January 2006 and June 2019 and compared the data of patients stratified by the type of diabetes. In addition, the patients with type 2 diabetes were subdivided according to age, and their clinical and laboratory findings were evaluated. Results Patients with type 2 diabetes had a longer symptom duration associated with DKA, higher body mass index (BMI), and higher C-peptide levels than those with type 1 diabetes (p<0.05). Among patients with type 2 diabetes, elderly patients (≥65 years old) had a longer duration of diabetes, higher frequency of DKA onset under diabetes treatment, higher effective osmolarity, lower BMI, and lower urinary C-peptide levels than nonelderly patients (<65 years old) (p<0.05). A correlation analysis showed that age was significantly negatively correlated with the index of insulin secretory capacity. Conclusion Patients with DKA and type 2 diabetes had a higher BMI and insulin secretion capacity than those with type 1 diabetes. However, elderly patients with type 2 diabetes, unlike younger patients, were characterized by a lean body, impaired insulin secretion, and more frequent DKA development while undergoing treatment for diabetes.

An Automated Risk Index for Diabetic Ketoacidosis in Pediatric Patients With Type 1 Diabetes: The RI-DKA

Identifying patients at high risk for diabetic ketoacidosis (DKA) is crucial for informing efforts at preventive intervention. This study sought to develop and validate an electronic medical record (EMR)-based tool for predicting DKA risk in pediatric patients with type 1 diabetes. Based on analysis of data from 1,864 patients with type 1 diabetes, three factors emerged as significant predictors of DKA: most recent A1C, type of health insurance (public vs. private), and prior DKA. A prediction model was developed based on these factors and tested to identify and categorize patients at low, moderate, and high risk for experiencing DKA within the next year. This work demonstrates that risk for DKA can be predicted using a simple model that can be automatically derived from variables in the EMR.

Trends in leading causes of hospitalisation of adults with diabetes in England from 2003 to 2018: an epidemiological analysis of linked primary care records

BACKGROUND

Diabetes leads to a wide range of established vascular and metabolic complications that has resulted in the implementation of diverse prevention programmes across high-income countries. Diabetes has also been associated with an increased risk of a broader set of conditions including cancers, liver disease, and common infections. We aimed to examine the trends in a broad set of cause-specific hospitalisations in individuals with diabetes in England from 2003 to 2018.

METHODS

In this epidemiological analysis, we identified 309 874 individuals 18 years or older with diabetes (type 1 or 2) in England from the Clinical Practice Research Datalink linked to Hospital Episode Statistics inpatient data from 2003 to 2018. We generated a mixed prevalent and incident diabetes study population through serial cross sections and follow-up over time. We used a discretised Poisson regression model to estimate annual cause-specific hospitalisation rates in men and women with diabetes across 17 cause groupings. We generated a 1:1 age-matched and sex-matched population of individuals without diabetes to compare cause-specific hospitalisation rates in those with and without diabetes.

FINDINGS

Hospitalisation rates were higher for all causes in persons with diabetes than in those without diabetes throughout the study period. Diabetes itself and ischaemic heart disease were the leading causes of excess (defined as absolute difference in the rate in the populations with and without diabetes) hospitalisation in 2003. By 2018, non-infectious and non-cancerous respiratory conditions, non-diabetes-related cancers, and ischaemic heart disease were the most common causes of excess hospitalisation across men and women. Hospitalisation rates of people with diabetes declined and causes of hospitalisation changed. Almost all traditional diabetes complication groups (vascular diseases, amputations, and diabetes) decreased, while conditions non-specific to diabetes (cancers, infections, non-infectious and non-cancerous respiratory conditions) increased. These differing trends represented a change in the cause of hospitalisation, such that the traditional diabetes complications accounted for more than 50% of hospitalisation in 2003, but only approximately 30% in 2018. In contrast, the proportion of hospitalisations due to respiratory infections between the same time period increased from 3% to 10% in men and from 4% to 12% in women.

INTERPRETATIONS

Changes in the composition of excess risk and hospitalisation burden in those with diabetes means that preventative and clinical measures should evolve to reflect the diverse set of causes that are driving persistent excess hospitalisation in those with diabetes.

FUNDING

Wellcome Trust.

Effects of Ultra-Long-Acting Insulin Compared to Long-Acting Insulin on Diabetic Ketoacidosis Incidence in Type 1 Diabetes Mellitus Patients

PURPOSE

This research was intended to explore the effects of new-generation basal insulin (degludec U100 And glargine U300) versus long-acting basal insulin (glargine U100, detemir) on the incidence of diabetic ketoacidosis episodes and diabetes treatment measures.

PATIENTS AND METHODS

This is a cross-sectional, retrospective medical record analysis. The study population included adults with type 1 diabetes mellitus (DM) who were on the hospital records in 2020. Data were collected from 221 eligible participants through review of electronic medical records. Each record was scanned for basal insulin type, total daily insulin dose, diabetic ketoacidosis (DKA) occurrences, and glycated hemoglobin A1C (HbA1c) levels. Data were collected from 6 months before to 6 months after the initiation of ultra-long-acting insulin. Statistical analysis was conducted using R version 3.5.2. The normality of distribution for each independent variable was verified using Shapiro-Wilk tests. The independent paired t-test was used to compare insulin therapy measures between the two insulin regimens. The main outcome measures were the incidence of DKA episodes and clinical outcomes associated with diabetes.

RESULTS

The HbA1c did not change significantly before and after ultra-long-acting insulin therapy was initiated (9.9 vs 9.8, respectively; P >0.05). Insulin total daily doses were significantly higher after shifting to ultra-long-acting insulin. Sub-analysis showed higher total daily insulin doses in glargine U300 users compared with degludec U100 users (P =0.0021). However, basal insulin doses did not change after treatment with ultra-long-acting insulin. No statistically significant difference in DKA occurrences was found before and after the start of ultra-long-acting insulin treatment.

CONCLUSION

The frequency of DKA episodes was not affected by changing the treatment to ultra-long-acting insulin. Moreover, the results suggest that insulin dosage and types are not the only cause of uncontrolled diabetes. Additional efforts should be made to cover all factors affecting diabetes complication control.

Psychosocial factors associated with repeat diabetic ketoacidosis in people living with type 1 diabetes: A systematic review

AIM

To systematically review the literature concerning the psychosocial factors associated with repeat diabetic ketoacidosis for people living with type 1 diabetes.

METHODS

PsycInfo, Web of Science, CINAHL, PubMed and ASSIA were searched according to a registered study protocol (PROSPERO CRD42020167381). Data were extracted into a coding spreadsheet, and findings were synthesised narratively. Included papers were also subject to a quality assessment.

RESULTS

The search yielded 548 unique articles, of which 22 met inclusion criteria for this review. There was considerable variance across studies with regard to design, quality and outcome measured. Nevertheless, there was relatively consistent evidence to suggest that repeat diabetic ketoacidosis in type 1 diabetes is associated with female gender, adolescent to young adult age range, lower socio-economic status and poor mental health. Some evidence was also observed for the role of ethnicity and, for children and young people at least, family, social and behavioural issues. However, this was limited by issues of methodological rigour and scant investigation.

CONCLUSIONS

The review identified four psychosocial factors that appear to play a key role in the cycle of repeat diabetic ketoacidosis. Individuals with these factors present may benefit from targeted support and interventions by specialist healthcare professionals. Knowledge and understanding in this area would be considerably enhanced via increased use of prospective study designs and greater consistency in the operationalisation of variables across studies.

2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2022

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/dc22-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/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.

Clinical and biochemical profile of 786 sequential episodes of diabetic ketoacidosis in adults with type 1 and type 2 diabetes mellitus

INTRODUCTION

We explored the clinical and biochemical differences in demographics, presentation and management of diabetic ketoacidosis (DKA) in adults with type 1 and type 2 diabetes.

RESEARCH DESIGN AND METHODS

This observational study included all episodes of DKA from April 2014 to September 2020 in a UK tertiary care hospital. Data were collected on diabetes type, demographics, biochemical and clinical features at presentation, and DKA management.

RESULTS

From 786 consecutive DKA, 583 (75.9%) type 1 diabetes and 185 (24.1%) type 2 diabetes episodes were included in the final analysis. Those with type 2 diabetes were older and had more ethnic minority representation than those with type 1 diabetes. Intercurrent illness (39.8%) and suboptimal compliance (26.8%) were the two most common precipitating causes of DKA in both cohorts. Severity of DKA as assessed by pH, glucose and lactate at presentation was similar in both groups. Total insulin requirements and total DKA duration were the same (type 1 diabetes 13.9 units (9.1-21.9); type 2 diabetes 13.9 units (7.7-21.1); p=0.4638). However, people with type 2 diabetes had significantly longer hospital stay (type 1 diabetes: 3.0 days (1.7-6.1); type 2 diabetes: 11.0 days (5.0-23.1); p<0.0001).

CONCLUSIONS

In this population, a quarter of DKA episodes occurred in people with type 2 diabetes. DKA in type 2 diabetes presents at an older age and with greater representation from ethnic minorities. However, severity of presentation and DKA duration are similar in both type 1 and type 2 diabetes, suggesting that the same clinical management protocol is equally effective. People with type 2 diabetes have longer hospital admission.

Temporal trends in emergency admissions for diabetic ketoacidosis in people with diabetes in England before and during the COVID-19 pandemic: a population-based study

BACKGROUND

Diabetic ketoacidosis (DKA) has been reported to be increasing in frequency during the COVID-19 pandemic. We aimed to examine the rates of DKA hospital admissions and the patient demographics associated with DKA during the pandemic compared with in prepandemic years.

METHODS

Using a comprehensive, multiethnic, national dataset, the Secondary Uses Service repository, we extracted all emergency hospital admissions in England coded with DKA from March 1 to June 30, 2020 (first wave of the pandemic), July 1 to Oct 31, 2020 (post-first wave), and Nov 1, 2020, to Feb 28, 2021 (second wave), and compared these with DKA admissions in the equivalent periods in 2017-20. We also examined baseline characteristics, mortality, and trends in patients who were admitted with DKA.

FINDINGS

There were 8553 admissions coded with DKA during the first wave, 8729 during the post-first wave, and 10 235 during the second wave. Compared with preceding years, DKA admissions were 6% (95% CI 4-9; p<0·0001) higher in the first wave of the pandemic (from n=8048), 6% (3-8; p<0·0001) higher in the post-first wave (from n=8260), and 7% (4-9; p<0·0001) higher in the second wave (from n=9610). In the first wave, DKA admissions reduced by 19% (95% CI 16-21) in those with pre-existing type 1 diabetes (from n=4965 to n=4041), increased by 41% (35-47) in those with pre-existing type 2 diabetes (from n=2010 to n=2831), and increased by 57% (48-66) in those with newly diagnosed diabetes (from n=1072 to n=1681). Compared with prepandemic, type 2 diabetes DKA admissions were similarly common in older individuals and men but were higher in those of non-White ethnicities during the first wave. The increase in newly diagnosed DKA admissions occurred across all age groups and these were significantly increased in men and people of non-White ethnicities. In the post-first wave, DKA admissions did not return to the baseline level of previous years; DKA admissions were 14% (11-17) lower in patients with type 1 diabetes (from n=5208 prepandemic to n=4491), 30% (24-36) higher in patients with type 2 diabetes (from n=2011 to n=2613), and 56% (47-66) higher in patients with newly diagnosed diabetes (from n=1041 to n=1625). During the second wave, DKA admissions were 25% (22-27) lower in patients with type 1 diabetes (from n=5769 prepandemic to n=4337), 50% (44-56) higher in patients with type 2 diabetes (from n=2608 to n=3912), and 61% (52-70) higher in patients with newly diagnosed diabetes (from n=1234 to n=1986).

INTERPRETATION

Our results provide evidence for differences in the numbers and characteristics of people presenting with DKA during the COVID-19 pandemic compared with in the preceding 3 years. Greater awareness of risk factors for DKA in type 2 diabetes and vigilance for newly diagnosed diabetes presenting with DKA during the COVID-19 pandemic might help mitigate the increased impact of DKA.

FUNDING

None.