Weight-based insulin dosing for acute hyperkalemia results in less hypoglycemia.

Hyperkalemia treatment with intravenous insulin has been associated with hypoglycemia. This single-center, retrospective study compared the effects on hypoglycemia between weight-based insulin dosing (0.1 U/kg of body weight up to a maximum of 10 U) compared to standard flat doses of 10 U among patients weighing less than 95 kg. Of the 132 charts randomly selected for review, hypoglycemic events (blood glucose <70 mg/dL) were reduced from 27.3% in the 10-U group to 12.1% in the weight-based group (P = 0.05). The number of affected patients was reduced with 19.7% in the 10-U group and 10.6% in the weight-based group (P = 0.22). The potassium-lowering effects of these 2 strategies were similar between groups. Female patients and those with baseline glucose values <140 mg/dL were at increased risk for hypoglycemia. Weight-based insulin dosing (0.1 U/kg) for acute hyperkalemia therapy resulted in less hypoglycemia without impacting potassium lowering. Journal of Hospital Medicine 2016;11:355-357. © 2016 Society of Hospital Medicine.

Prevention of inpatient hypoglycemia with a real-time informatics alert.

BACKGROUND: Severe hypoglycemia (SH), defined as a blood glucose (BG) <40 mg/dL, is associated with an increased risk of adverse clinical outcomes in inpatients. OBJECTIVE: To determine whether a predictive informatics hypoglycemia risk-alert supported by trained nurse responders would reduce the incidence of SH in our hospital. DESIGN: A 5-month prospective cohort intervention study. SETTING: Acute care medical floors in a tertiary care academic hospital in St. Louis, Missouri. PATIENTS: From 655 inpatients on designated medical floors with a BG of <90 mg/dL, 390 were identified as high risk for hypoglycemia by the alert system. MEASUREMENTS: The primary outcome was the incidence of SH occurring in high-risk intervention versus high-risk control patients. Secondary outcomes included: number of episodes of SH in all study patients, incidence of BG < 60 mg/dL and severe hyperglycemia with a BG >299 mg/dL, length of stay, transfer to a higher level of care, the frequency that high-risk patient's orders were changed in response to the alert-intervention process, and mortality. RESULTS: The alert process, when augmented by nurse-physician collaboration, resulted in a significant decrease by 68% in the rate of SH in alerted high-risk patients versus nonalerted high-risk patients (3.1% vs 9.7%, P = 0.012). Rates of hyperglycemia were similar on intervention and control floors at 28% each. There was no difference in mortality, length of stay, or patients requiring transfer to a higher level of care. CONCLUSION: A real-time predictive informatics-generated alert, when supported by trained nurse responders, significantly reduced inpatient SH.

Prediction and prevention of treatment-related inpatient hypoglycemia.

BACKGROUND: Prolonged severe hypoglycemia (SH) in hospitalized patients is associated with increased morbidity and mortality. This study was undertaken to identify risk factors for SH, to apply that knowledge to the development of a prediction algorithm, and to institute a prevention program at a tertiary medical center. METHODS: We analyzed SH events for 172 patients and developed computer algorithms to predict SH that were tested on a population of 3028 inpatients who were found to have blood glucose (BG) <90 mg/dl during their hospital stay. Variables with significant bivariate associations were entered into partition analyses to identify interactions. Logistic regression was performed by calculating parameters related to the odds of hypoglycemia below each cut point. Sensitivity and specificity were determined at various cut points. The cut points resulting in 50% sensitivity for each hypoglycemia level were determined. These algorithms were tested against the initial 172 adjudicated patients. RESULTS: Variables related to the BG <40 mg/dl cut off point were basal and adjustment scale insulin doses, weight, and creatinine clearance, while variables related to the 60 mg/dl and 70 mg/dl cut points were basal, prandial, and adjustment scale insulin doses, weight, creatinine clearance, and sulfonylurea use. The 50% sensitivity cut point developed using the <70 mg/dl algorithm correctly identified 71% of the adjudicated cases, while the <60 mg/dl and <40 mg/dl algorithms identified 70% and 55% respectively. CONCLUSIONS: A validated prediction algorithm for SH can aid in the identification of patients at risk for SH and may be useful in the development of prevention strategies.

Reporting of estimated glomerular filtration rate: effect on physician recognition of chronic kidney disease and prescribing practices for elderly hospitalized patients.

BACKGROUND: Physician recognition of chronic kidney disease (CKD) in elderly patients has been noted to be poor. These patients are at increased risk of medication dosing errors and acute renal failure. OBJECTIVE: To investigate the effect of reporting estimated glomerular filtration rate (GFR) of elderly hospitalized patients on physician recognition of CKD and physician prescribing behaviors. DESIGN: A retrospective combined with a prospective medical record review project. SETTING: A large academic medical center. PATIENTS: Patients included were 65 years of age or older and had creatinine values within the normal laboratory range (< 1.6 mg/dL). INTERVENTION: Reporting a calculated estimate of GFR to physicians. MEASUREMENTS: Rates of recognition of CKD were examined before and after the intervention. The effects of the intervention on prescription of renal-dosed antibiotics and nonsteroidal anti-inflammatory drugs (NSAIDS) and cyclooxygenase- 2 inhibitors (COX-2) at hospital discharge were assessed. RESULTS: A total of 260 and 198 patients were included before and after the intervention, respectively. Recognition of chronic kidney disease was low in both groups but demonstrated a significant increase following reporting of estimated GFR (3.9% to 12.6%, P < .001). Reporting of GFR was not associated with a significant decrease in prescription of NSAID/COX-2 medications or increased rates of correct dosing of antibiotics (P = .10 and P = .81, respectively). CONCLUSIONS: Although reporting of estimated GFR was associated with improved physician recognition of CKD in elderly hospitalized patients, it did not lead to a change in physician prescribing. More extensive interventions are necessary to increase recognition and decrease medication dosing errors.