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AIM: Several risk factors for severe hypoglycaemia (SH) are associated with insulin-treated diabetes. This study explored potential risk factors in adults with insulin-treated type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: In this case-control study, adults with T2DM initiating insulin were identified in the IQVIA PharMetrics® Plus database. The index date was the date of the first SH event (cases). Using incidence-density sampling, controls were selected from those who had been exposed 'at risk' of SH for the same amount of time as each case. After exact-matching on the well-established factors, previously unreported risk factors were evaluated through conditional logistic regression. RESULTS: In 3153 case-control pairs, pregnancy [odds ratios (OR) = 3.20, p = .0003], alcohol abuse (OR = 2.43, p < .0001), short-/rapid-acting insulin (OR = 2.22/1.47, p < .0001), cancer (OR = 1.87, p < .0001), dementia/Alzheimer's disease (OR = 1.73, p = .0175), peripheral vascular disease (OR = 1.59, p < .0001), antipsychotics (OR = 1.59; p = .0059), anxiolytics (OR = 1.51, p = .0012), paralysis/hemiplegia/paraplegia (OR = 1.51, p = .0416), hepatitis (OR = 1.50, p = .0303), congestive heart failure (OR = 1.47, p = .0002), adrenergic-corticosteroid combinations (OR = 1.45, p = .0165), ß-adrenoceptor agonists (OR = 1.40, p = .0225), opioids (OR = 1.38, p < .0001), corticosteroids (OR = 1.35, p = .0159), cardiac arrhythmia (OR = 1.29. p = .0065), smoking (OR = 1.28, p = .005), Charlson Comorbidity Index score 2 (OR = 1.28, p = .0026), 3 (OR = 1.41, p = .0016) or ≥4 (OR = 1.57, p = .0002), liver/gallbladder/pancreatic disease (OR = 1.26, p = .0182) and hypertension (OR = 1.19, p = .0164) were independently associated with SH. CONCLUSIONS: Although all people with insulin-treated diabetes are at risk of SH, these results have identified some previously unrecognized risk factors and sub-groups of insulin-treated adults with T2DM at greater risk. Scrutiny of current therapies and comorbidities are advised as well as additional glucose monitoring and education, when identifying and managing SH in vulnerable populations.

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OBJECTIVE: To evaluate ease of use, user preference, and effort required to use nasal glucagon (NG) versus injectable glucagon needing reconstitution (IG) in simulations of severe hypoglycemia (SH)-a challenge for caregivers of a person with diabetes (PWD) in real-life. METHODS: In this randomized, crossover study, high-fidelity manikins placed in mock representative high-stress environments were used to simulate an SH rescue. Thirty-two trained (by PWDs) and 33 untrained participants attempted NG and IG administrations and then completed questionnaires regarding ease of use, preference, and workload for each device. RESULTS: More trained users agreed that NG was easy to use (87.1% vs 54.8%) and prepare (80.6% vs 51.6%) and had confidence to use NG correctly (93.5% vs 54.8%) than those who agreed the same for IG (P < .05). Untrained users reported similar differences, favoring NG in all parameters. In direct device comparison across all simulations, 80.6% of trained users and 93.5% of untrained users preferred NG over IG-a preference largely sustained regardless of the success or failure of administration. Among PWDs, 90.3% considered NG device as safer than IG during an SH event. In the assessment of workload required to administer glucagon, the weighted mean National Aeronautics and Space Administration Task Load Index scores were 37.8 for NG and 48.4 for IG (P = .0020). CONCLUSION: Participants in this study considered NG easier, more preferred, required less effort for administration, and more intuitive to use than reconstitutable IG, irrespective of whether there was prior training. NG improves the potential for successful administration of glucagon, better preparedness, and increased adoption of glucagon for SH rescue.

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Objective: A severe hypoglycemia (SH) episode is an acute, high-stress moment for the caregivers of persons with diabetes (PWD). We compared the success rates of nasal glucagon (NG) and injectable glucagon (IG) administration for PWD-trained and untrained users in treating simulated SH episodes. Methods: Thirty-two PWD-trained users and 33 untrained users administered NG and IG to high-fidelity manikins simulating treatment of an SH emergency. Simulation rooms resembled common locations with typical diabetic supplies and stressor elements mimicking real-life SH environments. Success rate and time to administer glucagon were measured. Results: Of all the PWD-trained and untrained users, 58/64 (90.6%) could successfully deliver NG, while 5/63 (7.9%) could successfully deliver IG. For NG simulations, 28/31 (90.3%) PWD-trained users and 30/33 (90.9%) untrained users could successfully administer the dose (mean time 47.3 seconds and 44.5 seconds, respectively). For IG simulations, 5/32 (15.6%) PWD-trained users successfully injected IG (mean time 81.8 seconds), whereas none (0/31 [0%]) of the untrained users were successful. Reasons for unsuccessful administration of NG included oral administration and incomplete pushing of the device plunger. For IG, inability to perform reconstitution steps, partial dose delivery, and injection at an inappropriate site were the causes for failure. Conclusion: With or without training, the success rate for administering NG was 90.6%, whereas it was only 7.9% for IG. NG was easily and quickly administered even by untrained users, whereas training was necessary for successful administration of IG. NG may expand the community of caregivers who can help PWD during an SH episode. Abbreviations: IG = injectable glucagon; NG = nasal glucagon; PWD = person with diabetes; SH = severe hypoglycemia; T1D = type 1 diabetes; T2D = type 2 diabetes.

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BACKGROUND: Initiation and titration of human regular U-500 insulin (U-500R) with a dosing algorithm of either thrice daily (TID) or twice daily (BID) improved glycemic control with fewer injections in patients with type 2 diabetes treated with high-dose, high-volume U-100 insulin. The objective of this analysis was to compare patient-reported outcomes between U-500R TID and BID treatment groups in this titration-to-target randomized, clinical trial. METHODS: In this 24-week, open-label, parallel trial, 325 patients were randomized to TID (n = 162) or BID (n = 163) U-500R after a 4-week lead-in period (screening). The Treatment Related Impact Measure-Diabetes (TRIM-D) and EQ-5D-5L questionnaires were administered at screening, baseline/randomization, and endpoint (24 weeks). The Visual Analog Scale-Injection Site Pain (VAS-ISP) was assessed at baseline/randomization, 12 weeks, and endpoint. RESULTS: The TRIM-D showed statistically significant improvements in overall scores from baseline to endpoint for both BID and TID groups, most domains in the TID group, and all domains in the BID group. The BID group achieved better scores than the TID patients in overall and in treatment burden, daily life, and compliance domains (p < .05). EQ-5D-5L index scores showed no statistically significant differences for TID and BID groups (and no differences between TID and BID groups) from baseline to endpoint. VAS-ISP scores improved for both treatment groups (-5.60 TID; -6.47 BID; p < .05 for both) from baseline to endpoint. CONCLUSIONS: U500 can be successfully titrated for improved glycemic control using BID and TID regimens with diabetes-specific Patient-Reported Outcomes showing improvements in both arms; however, BID had better scores than TID in overall, treatment burden, daily life, and compliance domains. TRIAL REGISTRATION: These secondary analyses are based on the study first received January 22, 2013 and reported in Clinical Trial Registry No.: NCT01774968 .

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OBJECTIVE: To describe glucagon prescription patterns in patients with type 1 (T1DM) or type 2 diabetes (T2DM) who received an initial insulin prescription. METHODS: Retrospective analyses were conducted with data from Truven Health MarketScan databases to assess time to glucagon prescriptions: filled within 1.5 months after index date (early) or after 1.5 months postindex (nonearly). The index date was the date of first insulin prescription between January 1, 2009 and December 31, 2011; for T2DM, without an insulin prescription in the previous 6 months; for T1DM, diabetes diagnosis preindex or within 3 months postindex. RESULTS: Analysis included 8,814 patients with T1DM and 47,051 with T2DM (49.3% and 2.4%, respectively) who had glucagon prescriptions filled. The median times to first glucagon prescription were 196 days (T1DM) and 288 days (T2DM). The rates of filling glucagon were highest in the first 1.5 months. The times to first hypoglycemia-related emergency room (ER) visit for T1DM and T2DM cohorts were initially similar for those with early glucagon versus nonearly glucagon prescriptions. After 10.8 and 2.5 months postindex, respectively, the percentage of hypoglycemia-related ER visits was lower for those with early glucagon prescriptions. CONCLUSION: Glucagon prescriptions filled for patients with diabetes who are initiating insulin are low. Patients with T1DM who were younger and healthier filled glucagon prescriptions more often; patients with T2DM who were younger and sicker and had a higher percentage of hypoglycemia-related ER visit history filled glucagon prescriptions more often. Glucagon filled early was associated with a lower incidence of hypoglycemia-related ER visits.

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OBJECTIVE: To compare the efficacy and safety of 2 dosing regimens for human regular U-500 insulin (U-500R, 500 units/mL) replacing high-dose U-100 insulins with or without oral antihyperglycemic drugs in patients with inadequately controlled type 2 diabetes (T2D). METHODS: We conducted a 24-week, open-label, parallel trial in 325 patients (demographics [means]: age, 55.4 years; diabetes duration, 15.2 years; body mass index, 41.9 kg/m(2); glycated hemoglobin [HbA1c], 8.7%; U-100 insulin dose, 287.5 units administered in 5 injections/day [median; range, 2 to 10]). Patients were randomized to thrice-daily (TID, n = 162) or twice-daily (BID, n = 163) U-500R after a 4-week lead-in period. The primary outcome was HbA1c change from baseline. RESULTS: After 24 weeks, both treatments demonstrated significant HbA1c reductions (TID, -1.12%; BID, -1.22%; both, P<.001) and clinical equivalence (difference, -0.10%; 95% confidence interval, -0.33 to 0.12%; noninferiority margin, 0.4%). Comparable increases in total daily U-500R dose (TID, 242.7 to 343.1 units; BID, 249.0 to 335.0 units) were observed. Incidence and rate of documented symptomatic hypoglycemia (≤70 mg/dL) were lower for TID versus BID (P = .003 and P = .02, respectively); severe hypoglycemia was similar between treatments. Weight gain was similar in both groups (TID, 5.4 kg; BID, 4.9 kg). CONCLUSION: Initiation and titration of U-500R using either algorithm (TID or BID) improves glycemic control effectively and safely with fewer injections in patients with T2D treated with high-dose/high-volume U-100 insulin. These results provide clinicians with a practical framework for using U-500R in severely insulin-resistant patients with suboptimally controlled T2D.

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Cardiovascular assessment skills are deficient among advanced practice nursing students, and effective instructional methods to improve assessment skills are needed. The purpose of this study was to develop, implement, and evaluate outcomes of a cardiovascular assessment curriculum for advanced practice nurses at four institutions. Each institution used a one-group pre-to-post-intervention design. Educational interventions included faculty-led, simulation-based case presentations using the Harvey cardiopulmonary patient simulator (CPS), and independent learning sessions using the CPS and a multimedia, computer-based CD-ROM program. Outcome measures included a 31-item cognitive written exam, a 13-item skills checklist used in each of a three-station objective structured clinical exam, learner self-efficacy and satisfaction survey, instructor satisfaction and self-efficacy survey, and a participant logbook to record practice time using the self-learning materials. Thirty-six students who received the simulation-based training showed statistically significant pre-to-post-test improvement in cognitive knowledge and cardiovascular assessment skills.

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This study compared two instructional and evaluation methods for teaching advanced cardiac life support (ACLS) to health care professionals who were taking the ACLS course for the first time. Outcomes of the instruction were measured on completion of the course and at 3 months and 6 months postinstruction to identify differences in participants' knowledge retention, skills competency, and self-efficacy in performing ACLS. In addition, satisfaction with the teaching method was evaluated. The two methods of teaching and evaluating competencies for ACLS were (1) traditional classroom instruction plus practice and evaluation with monitors (low-fidelity simulation); and (2) classroom instruction plus practice with high-fidelity patient simulators. Participants in the study were 148 health care professionals or health care students who were novices in ACLS preparation. Participants were recruited from a large Midwest school of nursing and school of medicine, a Midwest physicians' assistant program, and a not-for-profit hospital. The findings showed no significant differences in ACLS knowledge, skills, self-efficacy, or learner satisfaction immediately after instruction or at 3 to 9 months posttraining. Retention of ACLS knowledge and skills competency over time was low in both groups; recommendations and interventions are discussed based on the study results.

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This article presents the utility and lessons learned regarding subscription to a database service for tracking nurse practitioner clinical education at the Indiana University School of Nursing. Initiatives and activities, such as the one described in this article, support the implementation of the Technology Informatics Guiding Educational Reform strategic agenda related to the transformation of nursing education through evidence and informatics. Descriptive reports of clinical database management are useful to conceptualize the evaluation of teaching and learning experiences as well as document the significance to students, faculty, future employers, and administration. The use of a database system for documentation of clinical experiences allows the student to practice and master informatics capabilities. Through data analysis, faculty can coordinate and assess students in the clinical environment and tailor learning experiences based on aggregated sets of patient encounters. Examination of the nature of patient encounters and clinical activities experienced permits an evidenced informed approach to student progress, curriculum development, and formative and summative evaluations.

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