Treatment of Diabetic Ketoacidosis Associated With Antipsychotic Medication: Literature Review

Dietary Influence on Drug Efficacy: A Comprehensive Review of Ketogenic Diet-Pharmacotherapy Interactions

It is widely acknowledged that the ketogenic diet (KD) has positive physiological effects as well as therapeutic benefits, particularly in the treatment of chronic diseases. Maintaining nutritional ketosis is of utmost importance in the KD, as it provides numerous health advantages such as an enhanced lipid profile, heightened insulin sensitivity, decreased blood glucose levels, and the modulation of diverse neurotransmitters. Nevertheless, the integration of the KD with pharmacotherapeutic regimens necessitates careful consideration. Due to changes in their absorption, distribution, metabolism, or elimination, the KD can impact the pharmacokinetics of various medications, including anti-diabetic, anti-epileptic, and cardiovascular drugs. Furthermore, the KD, which is characterised by the intake of meals rich in fats, has the potential to impact the pharmacokinetics of specific medications with high lipophilicity, hence enhancing their absorption and bioavailability. However, the pharmacodynamic aspects of the KD, in conjunction with various pharmaceutical interventions, can provide either advantageous or detrimental synergistic outcomes. Therefore, it is important to consider the pharmacokinetic and pharmacodynamic interactions that may arise between the KD and various drugs. This assessment is essential not only for ensuring patients' compliance with treatment but also for optimising the overall therapeutic outcome, particularly by mitigating adverse reactions. This highlights the significance and necessity of tailoring pharmacological and dietetic therapies in order to enhance the effectiveness and safety of this comprehensive approach to managing chronic diseases.

Olanzapine-Induced Diabetic Ketoacidosis: A Reversible Etiology Overlooked in Psychiatric Patients

Background/Objective

Olanzapine is a second-generation antipsychotic medication with increased side effects of weight gain, hyperglycemia, and insulin resistance. Here we describe a case of diabetic ketoacidosis in a patient who started taking olanzapine 12 weeks before she presented.

Case Report

A 73-year-old African-American female presented with a 1-week history of confusion, polyuria, and polydipsia. Her past medical history included type 2 diabetes mellitus, hyperlipidemia, and severe depression with psychotic features. Her medications were olanzapine 5 mg, duloxetine 90 mg, and rosuvastatin 5 mg daily. Three weeks prior, she was diagnosed with COVID-19 and treated for a urinary tract infection. Her physical exam upon admission included severely dry mucous membranes and labored respirations. The circulating glucose was 748 mg/dL (70-110), anion gap 39 mmol/L (7-16), and hemoglobin A1c (HgbA1c) 11.8% (105 mmol/mol). Three months prior, her HgbA1c was 6.7% (50 mmol/mol). She was treated with intravenous fluids and continuous insulin infusion followed by subcutaneous basal-bolus glargine and lispro after an anion gap of 13 mmol/L (7-16) was obtained. Two weeks into her hospitalization, olanzapine was discontinued. She was discharged on 10 units of glargine and metformin 500 mg twice daily. Five months after discharge, she indicated not taking any of the prescribed insulin or metformin. At this follow-up, her HgbA1c was 6.7%.

Discussion

Olanzapine may impair insulin secretion by causing pancreatic beta-cell apoptosis.

Conclusion

Increased awareness of the generalized metabolic effects and risk of diabetic ketoacidosis associated with antipsychotic medications is needed to develop a safe treatment plan for patients.

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.

Special Considerations for Management of Diabetes in Adult Patients with Intellectual and Developmental Disabilities

Diabetes mellitus (DM) is a chronic health condition that is very prevalent worldwide. It has been demonstrated that individuals with intellectual and developmental disabilities (IDDs) are at a disproportionately high risk for developing diabetes. Persons with IDDs are estimated to be 2-3 times more likely to develop DM compared to the general population. The elevated risk of developing diabetes within the population of adults with IDDs is multifactorial and includes contributions from genetics, lifestyle, medication use and misuse, boundaries to appropriate medical care, a higher incidence of comorbid mental health disorders, and others. Further, inadequate screening for and management of diabetes for these patients results in heightened risk for adverse cardiovascular events and inferior health care outcomes. To improve patient outcomes for this unique patient population, health care providers need to be well trained in the optimal modalities of screening, diagnosis, and management of diabetes in adults with IDDs. This requires the development of effective diabetes intervention and health promotion programs aimed at patients with IDDs, utilizing a patient-centered approach to screening and management, and conducting further research to assess the impact of these interventions.

One-Year Course of Olanzapine-Induced Diabetic Ketoacidosis: A Case Report

Second-generation antipsychotics, despite being highly effective, are among the drugs known to cause insulin resistance and metabolic syndrome, eventually leading to diabetes mellitus and less commonly diabetic ketoacidosis (DKA). Here, we present the case of a 21-year-old male, who was not previously known to have any comorbid factors but presented with DKA 1 year and 9 months after beginning treatment with olanzapine for an unspecified psychotic disorder requiring hospital admission and the resolution of the same following discontinuation of the drug. Our case report emphasizes the need for regular screening of patients requiring diabetogenic drugs, so that early identification of possible side effects can be noted and averted.

Association Between Antipsychotic Medication Use and Diabetes

PURPOSE OF REVIEW

The prevalence of diabetes is 2-3-fold higher in people with severe mental illness than the general population. There are concerns that antipsychotics increase the risk of diabetes. This review will examine the latest epidemiological studies linking antipsychotics and diabetes, as well as the mechanisms underlying the association and the clinical implications to minimise the impact of antipsychotics on metabolic health.

RECENT FINDINGS

Although there is an increased risk of diabetes in people with first-episode psychosis, the prevalence increases rapidly after antipsychotics are started. Antipsychotics likely increase the risk of diabetes through weight gain and directly by adversely affecting insulin sensitivity and secretion. It is important to implement measures to prevent diabetes, to screen for diabetes to ensure prompt diagnosis and to provide effective diabetes care. Further research is needed to understand how antipsychotics cause diabetes and to improve the clinical management of diabetes in people with severe mental illness.

A Case of Multifactorial Diabetic Ketoacidosis Acquired in the Intensive Care Unit: A Case Report

Diabetic ketoacidosis (DKA) is a potentially fatal endocrine emergency resulting from uncontrolled diabetes mellitus (DM). The development of DKA has been linked to a number of precipitating factors such as infectious process, ischemia, medications, and other medical-surgical illnesses. These factors have been found to aggravate or unmask pre-existing glucose dysregulation secondary to absolute or relative insulin deficiency and increased levels of counter-regulatory hormones. We describe the case of a 61-year-old male with a history of insulin dependent DM who develops DKA postoperatively after a three-vessel coronary artery bypass surgery and mitral valve repair while in the intensive care unit (ICU). The patient’s postoperative course was complicated by presumed pneumonia and hyperactive delirium. On postoperative day (POD) five, the patient’s insulin infusion was held due to non-symptomatic hypoglycemia. Eleven hours later, the insulin infusion was resumed to treat DKA after laboratory findings revealed hyperglycemia, an elevated β-hydroxybutyrate, and anion gap metabolic acidosis. Multiple contributing factors for the development of DKA are suspected and discussed. It is paramount that clinicians are knowledgeable of the multiple factors that can contribute to the development of DKA in the ICU.

Evaluation and management of ketosis-prone diabetes

INTRODUCTION

Patients presenting with diabetic ketoacidosis (DKA) who lack the classic phenotype of autoimmune type 1 diabetes have become increasingly identified in recent decades. This has led to the recognition of heterogeneous syndromes of 'ketosis-prone diabetes' (KPD). Evaluation and optimal management of KPD differs from that of 'typical' type 1 or type 2 diabetes. Awareness of these differences and a systematic approach to diagnosis and treatment can improve glycemic control and prevent both acute and chronic complications of diabetes.

AREAS COVERED

This article reviews the Aß classification scheme ('A' for autoantibody status and 'ß' for beta cell functional reserve) which accurately delineates subgroups of KPD, and addresses the relevance of defining these subgroups for clinical outcomes and long-term insulin dependence. Subsequently, the detailed evaluation and management of KPD patients after their index DKA episode is described.

EXPERT COMMENTARY

Among patients presenting with DKA, it is important to diagnose specific subgroups of KPD and not assume that they represent exclusively patients with autoimmune type 1 diabetes. The Aß classification is an accurate aid to diagnosis, and permits optimal management of the subgroups (e.g., insulin treatment for the ß- subgroups; follow-up testing and a range of treatment options for the ß+ subgroups).

Effects of Long-Term Multimodal Psychosocial Treatment on Antipsychotic-Induced Metabolic Changes in Patients With First Episode Psychosis

Background: Antipsychotic-induced weight gain and metabolic abnormalities are one of the major challenges in the treatment of psychosis, contributing to the morbidity, mortality and treatment non-adherence. Different approaches were used to counteract these side effects but showed only limited or short-term effects. This study aims to analyse the effects of a long-term multimodal treatment program for first episode psychosis on antipsychotic-induced metabolic changes. Methods: We enrolled 71 patients with first episode psychosis treated at the Zagreb University Hospital Centre from 2016 until 2018. Participants were assigned to one of the two groups: day hospital program vs. treatment as usual (TAU). Outcomes were: body weight, blood glucose, lipids and cholesterol, psychopathology and global level of functioning during the 18-months follow-up. Results: Although the TAU group gained more weight and had higher increase of blood glucose, while the day hospital group had a higher increase in total cholesterol at 18th month follow-up, after the adjustment for age, gender and baseline measures, the type of treatment was not significantly associated with any of the primary outcome measures. Patients' psychopathology measures significantly decreased and their functional level significantly increased at month 18th in both groups. Conclusion: While both types of treatment were effective in reducing psychopathology and restoring the patients' level of functioning, both were relatively ineffective in counteracting antipsychotic-induced metabolic abnormalities and antipsychotic-induced weight gain.