Creating a Perioperative Glycemic Control Program

Hyperglycemia in the surgical population is a recognized risk factor for postoperative complications; however, there is little literature to date regarding the management of hyperglycemia in the perioperative period. Here, we detail the strategies that our institutions have employed to identify and treat hyperglycemia in patients with diabetes who present for surgery. Our approach focuses on the recognition of hyperglycemia and metabolic abnormalities, control of glucose levels via insulin infusion when needed, monitoring for hypoglycemia and a comprehensive multidisciplinary approach that provides standardized recommendations for patients at all points in care as they transition from the preoperative clinic into the operating room, and then into the hospital

Comparison of bicarbonate values from venous blood gas and chemistry panels measured at the time of diagnosis and resolution of diabetes ketoacidosis

Objective: To determine if bicarbonate values from venous blood gas (VBG) and plasma chemistry samples provided agreement in determining the bicarbonate criteria for the diagnosis and/or resolution of diabetic ketoacidosis (DKA). Methods: A retrospective chart review of data from patients admitted to a tertiary care hospital with a diagnosis of DKA over a four year period was performed. Paired bicarbonate values from a VBG and chemistry panel, if drawn within 60minutes of each other, were compared. Results: At the time of diagnosis of DKA, 197 paired bicarbonate values were available for analysis with the mean difference between the two methods of testing of 2.5mmol/L. 16 of the 197 (8%) paired values were discordant in meeting criteria for diagnosis of DKA. At the time of resolution of DKA, 83 paired bicarbonate samples were compared. The mean difference was 2.3mmol/L. 20 of the 83 (24%) paired bicarbonate values showed discordance with regards to meeting the bicarbonate criteria for resolution of DKA. Conclusion: Discordance between bicarbonate results from different analysis methods may lead to different determinations as to whether or not a patient meets the biochemical definition for diagnosis and resolution of DKA

Active cocaine use does not increase the likelihood of hyperglycemic crisis

Objective: Hyperglycemic crisis encompasses a group of diabetes emergencies characterized by insulin deficiency with high morbidity and mortality. Cocaine use is increasingly prevalent in the United States and may be associated with increased risk of diabetic ketoacidosis. The objective was to determine if active cocaine use at hospital admission could be considered a risk factor for development of hyperglycemic crisis. Methods: A retrospective case-control analysis was performed on 950 inpatients with hyperglycemia at an urban academic hospital. Patients admitted with non-emergent hyperglycemia were compared to patients who met criteria for diabetic ketoacidosis (DKA), hyperosmolar hyperglycemic state (HHS), and hyperosmolar ketoacidosis (HK), based on the absence or presence of cocaine metabolites on urine toxicology screen. Outcomes included frequency of cocaine use in patients with DKA, HHS, HK, and non-emergent hyperglycemia; phenotypic characteristics of cocaine users vs. non-users with hyperglycemia; phenotypic characteristics of patients with hyperglycemic crisis vs. non-emergent hyperglycemia. Results: 950 patients were admitted with hyperglycemia, 133 of which met criteria for hyperglycemic crisis. There was no significant difference in the frequency of cocaine use in individuals with non-emergent hyperglycemia compared to individuals with hyperglycemic crisis (16.9% vs. 17.2%, p = 0.90). 16.9% of patients with DKA, 16.4% of patients with HHS, and 6.4% of patients with HK were cocaine users. Conclusions: We found no association between active cocaine use at the time of hospital admission and development of hyperglycemic crisis, when compared to non-emergent hyperglycemia. The role of routine screening for cocaine use in patients with hyperglycemic crisis is unclear

Gaps in the type 2 diabetes care cascade: a national perspective using South Africa’s National Health Laboratory Service (NHLS) database

Abstract Background Research out of South Africa estimates the total unmet need for care for those with type 2 diabetes mellitus (diabetes) at 80%. We evaluated the care cascade using South Africa’s National Health Laboratory Service (NHLS) database and assessed if HIV infection impacts progression through its stages. Methods The cohort includes patients from government facilities with their first glycated hemoglobin A1c (HbA1c) or plasma glucose (fasting (FPG); random (RPG)) measured between January 2012 to March 2015 in the NHLS. Lab-diagnosed diabetes was defined as HbA1c ≥ 6.5%, FPG ≥ 7.0mmol/l, or RPG ≥ 11.1mmol/l. Cascade stages post diagnosis were retention-in-care and glycaemic control (defined as an HbA1c < 7.0% or FPG < 8.0mmol/l or RPG < 10.0mmol/l) over 24-months. We estimated gaps at each stage nationally and by people living with HIV (PLWH) and without (PLWOH). Results Of the 373,889 patients tested for diabetes, 43.2% had an HbA1c or blood glucose measure indicating a diabetes diagnosis. Amongst those with lab-diagnosed diabetes, 30.9% were retained-in-care (based on diabetes labs) and 8.7% reached glycaemic control by 24-months. Prevalence of lab-diagnosed diabetes in PLWH was 28.6% versus 47.3% in PLWOH. Among those with lab-diagnosed diabetes, 34.3% of PLWH were retained-in-care versus 30.3% PLWOH. Among people retained-in-care, 33.8% of PLWH reached glycaemic control over 24-months versus 28.6% of PLWOH. Conclusions In our analysis of South Africa's NHLS database, we observed that 70% of patients diagnosed with diabetes did not maintain in consistent diabetes care, with fewer than 10% reaching glycemic control within 24 months. We noted a disparity in diabetes prevalence between PLWH and PLWOH, potentially linked to different screening methods. These differences underscore the intricacies in care but also emphasize how HIV care practices could guide better management of chronic diseases like diabetes. Our results underscore the imperative for specialized strategies to bolster diabetes care in South Africa