Perioperative Management of Diabetes Mellitus Type 1 and 2

Author(s):  
Vidya T. Raman

Diabetes management offers unique challenges in children and adolescents versus adults especially in the perioperative environment. The obvious challenges of monitoring dietary intake plus possible communication barriers with increased risk of diabetic ketoacidosis and hypoglycemia. Adding the catabolic stressors from surgery also add challenges to the perioperative physician managing the patient’s glycemic control. It is important to work with endocrinology in order to manage their diabetes. Lengthier procedures also complicate glycemic control. It involves sometimes close monitoring of not only glucose but electrolytes and blood and urine ketones.

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 836-P ◽  
Author(s):  
VIRAL N. SHAH ◽  
DANIEL D. TAYLOR ◽  
NICOLE C. FOSTER ◽  
ROY BECK ◽  
HALIS K. AKTURK ◽  
...  

2021 ◽  
Vol 7 (2) ◽  
pp. 54-56
Author(s):  
Reshmi Mishra ◽  
◽  
Jyoti Ranjan Behera ◽  
P. Ramkumar ◽  
Mukesh Kumar Jain ◽  
...  

Diabetic ketoacidosis is an acute life-threatening complication of type 1 diabetes. Sometimes it is the first presentation in an undiagnosed child. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19) and diabetes mellitus are very much interrelated as diabetes mellitus is associated with an increased risk of severe COVID19 at the same time, many cases of new-onset diabetes had been diagnosed. Hyperglycemia, metabolic acidosis, and ketonemia are classical presentations. It is essential to correct the acidosis and fluid correction and insulin therapy in these patients, leading to vital organ dysfunction. In refractory metabolic acidosis, renal replacement therapy may help


2019 ◽  
Author(s):  
Joseph I. Wolfsdorf ◽  
Katharine Garvey

Type 1 diabetes mellitus is characterized by severe insulin deficiency, making patients dependent on exogenous insulin replacement for survival. These patients can experience life-threatening events when their glucose levels are significantly abnormal. Type 1 diabetes accounts for 5 to 10% of all diabetes cases, with type 2 accounting for most of the remainder. This review details the pathophysiology, stabilization and assessment, diagnosis and treatment, disposition and outcomes of patients with Type 1 diabetes mellitus. Figures show the opposing actions of insulin and glucagon on substrate flow and plasma levels; plasma glucose, insulin and C-peptide levels throughout the day; the structure of human proinsulin; current view of the pathogenesis of Type 1 autoimmune diabetes mellitus; pathways that lead from insulin deficiency to the major clinical manifestations of Type 1 diabetes mellitus; relationship between hemoglobin A1c values at the end of a 3-month period and calculated average glucose levels during the 3-month period; different combinations of various insulin preparations used to establish glycemic control; and basal-bolus and insulin pump regimens. Tables list the etiologic classification of Type 1 diabetes mellitus, typical laboratory findings and monitoring in diabetic ketoacidosis, criteria for the diagnosis of Type 1 diabetes, clinical goals of Type 1 diabetes treatment, and insulin preparations. This review contains 10 figures, 9 tables, and 40 references. Keywords: Type 1 diabetes mellitus, optimal glycemic control, hypoglycemia, hyperglycemia, polyuria, polydipsia, polyphagia, HbA1c, medical nutrition therapy, Diabetic Ketoacidosis


2020 ◽  
Vol 26 (3) ◽  
pp. 305-311
Author(s):  
Janaki D. Vakharia ◽  
Sungeeta Agrawal ◽  
Janine Molino ◽  
Lisa Swartz Topor

Objective: To determine the relationship between family history of diabetes mellitus (DM) and diabetic ketoacidosis (DKA) recurrence in youth with established type 1 diabetes mellitus (T1DM). Methods: We performed a retrospective chart review of patients with DKA admitted to a pediatric hospital between January, 2009, and December, 2014. We compared patients with recurrent (≥2 admissions) and nonrecurrent DKA (1 admission) and investigated patient level factors, including family history, that may be associated with DKA recurrence in pediatric patients with established T1DM. Results: Of the 131 subjects in the study, 51 (39%) subjects were in the recurrence group. Age ≥15 years old, public health insurance, and family history of T1DM or type 2 diabetes mellitus were associated with recurrent DKA admissions in both univariable and multivariable analyses. Family history was associated with DKA recurrence, with an incidence rate ratio of 1.5 (95% confidence interval = 1.0 to 2.3; P = .03). The association was not explained by type of familial diabetes, first degree relative status, or whether the family member lived in the household. Conclusion: Recognition that a positive family history of DM may be associated with a higher risk for DKA recurrence in patients with established T1DM may allow for targeted education and focus on a previously unidentified population at increased risk for DKA. Understanding the mechanism underlying the effect of family history of diabetes on the rates of DKA in patients with established T1DM may allow for improved identification and education of patients who may be at risk for DKA recurrence. Abbreviations: CI = confidence interval; DKA = diabetic ketoacidosis; EHR = electronic health record; IBD = inflammatory bowel disease; IRR = incidence rate ratio; T1DM = type 1 diabetes mellitus; T2DM = type 2 diabetes mellitus


2017 ◽  
Vol 25 (4) ◽  
pp. 443-449
Author(s):  
Claudia Camila Peruzzo Lopes ◽  
Priscila do Monte Ribeiro Busato ◽  
Maira Fernanda Michelin Mânica ◽  
Marcela Chiquetto de Araújo ◽  
Muriel Machado Marquez Zampiva ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Varshitha Thanikonda ◽  
Fatima Jalil ◽  
Vitaly Kantorovich

Abstract Introduction: Atypical antipsychotics are known to cause increased risk of type 2 Diabetes Mellitus (DM2), dyslipidemia, and weight gain (metabolic syndrome). Clozapine, a commonly used anti-psychotic, is known to cause Diabetic Ketoacidosis (DKA), but literature has rarely shown an association of DKA with Ziprasidone. Case: A 42-year-old African American female presented with two weeks of polyuria, polydipsia, 23-pound weight loss, blurriness of vision, and dry mouth. Before the presentation, she had been drinking several drinks with high sugar content. Her medications included Ziprasidone (Geodon), Trileptal, and Cogentin for her bipolar disorder. She was started on Ziprasidone in 2007, changed to Brand name Geodon in 2014. Except for dry mouth, her exam was unremarkable. Labs were significant for blood glucose of 1114 mg/dL, bicarbonate of 18mmol/L, beta-hydroxybutyrate of 3.33 mmol/L, serum osmolality of 334 mOsm/kg. She was diagnosed with new-onset diabetes mellitus presenting as diabetic ketoacidosis. Her mother was diagnosed with DM2 in her 40s. She ha difficult to control blood sugars despite aggressive hydration and required regular insulin drip for 3 days for her anion gap to close. Managing her BGs was challenging. Discussion: Clozapine and olanzapine are the common atypical antipsychotics that can cause DKA1, 2. To our knowledge, Ziprasidone is associated with hyperglycemia within days of starting the drug and HHS but not with DKA. For atypical antipsychotic associated DKA, risk factors include the duration of antipsychotic therapy, polypharmacy with multiple antipsychotic agents, non-Caucasians, obesity and pre-diabetes2, 3. Proposed mechanisms include peripheral insulin resistance, alteration of pancreatic beta-cell function by inhibiting 5-HT1A/2A/2C and alpha 2 adrenergic receptors1-3. However, there is no explanation of why few people develop complications while others do not. There is hypothesis regarding leptin gene polymorphisms of receptors that may play a role4. While starting patients on Ziprasidone, close monitoring of blood glucose is necessary before initiation and regular follow up thereafter3. 1. Henderson DC. Atypical antipsychotic-induced diabetes mellitus: How strong is the evidence? CNS Drugs. 2002. 2. Vuk A. Diabetic ketoacidosis associated with antipsychotic drugs: Case reports and a review of literature. Psychiatr Danub. 2017. 3. Schwenkreis P. Atypical antipsychotics and diabetes mellitus. World J Biol Psychiatry. 2004. 4. 1. Reynolds GP. Metabolic side effects of antipsychotic drug treatment - pharmacological mechanisms. Pharmacol Ther. 2010.


Author(s):  
Hafeez Shaka ◽  
Maria Aguilera ◽  
Maria Aucar ◽  
Zain El-Amir ◽  
Farah Wani ◽  
...  

Abstract Introduction This study aimed to describe rates and characteristics of non-elective 30-day readmission among adult patients with diabetes mellitus type 1 (T1DM) hospitalized for diabetic ketoacidosis (DKA) and also identify predictors of readmission. Methods The study analyzed the 2018 Nationwide Readmission Database. DKA hospitalizations in patients with T1DM were classified using ICD-10-CM codes. We utilized Chi-square tests to compare baseline characteristics between readmissions and index hospitalizations. Multivariable cox regression was employed to identify independent predictors of readmission. Following this, we developed a 30-day readmission risk scoring system based on independent predictors. Results The 30-day all-cause readmission rate for DKA was 19.4%. A majority of patients (64.8%) had DKA as the principal diagnosis on readmission. Readmitted patients had a significantly higher mean age (35.3 vs. 34.9 years, p=0.018) and a higher proportion of females (52.8 vs. 49.6%,p<0.001) compared to the index admission. Readmission following DKA was associated with higher odds of inpatient mortality (0.69 vs. 0.24%, OR: 2.84, 95% CI: 1.99 – 4.06, p<0.001). Independent predictors of 30-day all-cause readmission included female sex, index hospitalizations with Charlson Comorbidity Index (CCI) score of 3 or greater, and being discharged against medical advice (AMA). Conclusion The readmission rate for DKA in T1DM patients is high, and most patients have DKA as the principal diagnosis on readmission. A CCI equal to or greater than 3, hypertension, female sex, and being discharged AMA were significant predictors of readmission.


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