Peak insulin drip rate associated with decreased infections post-solid organ transplant.

Infection and rejection outcomes were retrospectively analyzed in patients following liver transplant and separately following heart transplant with patients being stratified by their severity of immediate postoperative insulin resistance as measured by the peak insulin drip rate that was required to reduce glucose levels. For each group, these peak insulin drip rates were divided into quartiles (Q). In liver transplant patients (n = 207), those in Q4 (highest infusion rate) had significantly fewer infections up to 6 months post-transplant (42.3% vs. 60.0%, p = .036) and borderline fewer rejection episodes (25.0% vs. 40.0%, p = .066) compared to Q1-Q3 patients. To confirm these unexpected results, a subsequent similar analysis in heart transplant (n = 188) patients again showed that Q4 patients had significantly fewer infections up to 6 months (19.1% vs. 53.9%, p < .0001) compared to Q1-Q3 patients. Logistic regression in a subset of 103 cardiac transplant patients showed that the maximum glucose during surgery, prior MI, and hypertension were associated with severe insulin resistance (SIR) status, while the presence of pre-existing diabetes and BMI were not. We hypothesize that patients are who are able to mount a more robust counter-regulatory response that causes the insulin resistance may be healthier and thus able to mount a better response to infections.

Hyperglycemia in the Posttransplant Period: NODAT vs Posttransplant Diabetes Mellitus.

OBJECTIVE: To characterize the types of hyperglycemia that occur up to 1 year following liver transplant and to clarify the nomenclature for posttransplant hyperglycemia. DESIGN: We analyzed 1-year glycemic follow-up data in 164 patients who underwent liver transplant and who had been enrolled in a randomized controlled trial comparing moderate to intensive insulin therapy to determine if patients had preexisting known diabetes, transient hyperglycemia, persistent hyperglycemia, or new-onset diabetes after transplantation (NODAT). RESULTS: Of 119 patients with posttransplant hyperglycemia following hospital discharge, 49 had preexisting diabetes, 5 had insufficient data for analysis, 48 had transient hyperglycemia (16 resolved within 30 days and 32 resolved between 30 days and 1 year), 13 remained persistently hyperglycemic out to 1 year and most likely had preexisting diabetes that had not been diagnosed or insulin resistance/insulinopenia prior to transplant, and 4 had NODAT (i.e., patients with transient hyperglycemia after transplant that resolved but then later truly developed sustained hyperglycemia, meeting criteria for diabetes). CONCLUSIONS: Distinct categories of patients with hyperglycemia following organ transplant include known preexisting diabetes, persistent hyperglycemia (most likely unknown preexisting diabetes or insulin resistance/insulinopenia), transient hyperglycemia, and NODAT. Those with preexisting diabetes for many years prior to transplant may well have very different long-term outcomes compared with those with true NODAT. Therefore, it would be prudent to classify patients more carefully. Long-term outcome studies are needed to determine if patients with true NODAT have the same poor prognosis as patients with preexisting diabetes (diagnosed and undiagnosed) undergoing transplant.

Validation of data from electronic data warehouse in diabetic ketoacidosis: Caution is needed.

AIMS: This study validated enterprise data warehouse (EDW) data for a cohort of hospitalized patients with a primary diagnosis of diabetic ketoacidosis (DKA). METHODS: 247 patients with 319 admissions for DKA (ICD-9 code 250.12, 250.13, or 250.xx with biochemical criteria for DKA) were admitted to Northwestern Memorial Hospital from 1/1/2010 to 9/1/2013. Validation was performed by electronic medical record (EMR) review of 10% of admissions (N = 32). Classification of diabetes type (Type 1 vs. Type 2) and DKA clinical status were compared between the EMR review and EDW data. RESULTS: Key findings included incorrect classification of diabetes type in 5 of 32 (16%) admissions and indeterminable classification in 5 admissions. DKA was not present, based on the review, in 11 of 32 (34%) admissions. DKA was not present, based on biochemical criteria, in 15 of 32 (47%) admissions. CONCLUSIONS: This study found that EDW data have substantial errors. Some discrepancies can be addressed by refining the EDW query code, while others, related to diabetes classification and DKA diagnosis, cannot be corrected without improving clinical coding accuracy, consistency of medical record documentation, or EMR design. These results support the need for comprehensive validation of data for complex clinical populations obtained through data repositories such as the EDW.

Glycemic Control Reduces Infections in Post-Liver Transplant Patients: Results of a Prospective, Randomized Study.

Context: Previous studies have shown a relationship between glycemic control and posttransplant morbidity. Objective: We conducted a prospective randomized controlled trial in postliver transplant patients to evaluate intensive inpatient glycemic control and effects on outcomes to 1 year. Research Design and Intervention: A total of 164 patients [blood glucose (BG) >180 mg/dL] were randomized into 2 target groups: 82 with a BG of 140 mg/dL and 82 with a BG of 180 mg/dL. Continuous insulin infusions were initiated and then converted to subcutaneous basal bolus insulin therapy by our glucose management service. Results: The inpatient mean BG level was significantly different (140 group, 151.4 ± 19.5 mg/dL vs 180 group, 172.6 ± 27.9 mg/dL; P < 0.001). Any infection within 1 year occurred in 35 of the 82 patients (42.7%) in the 140 group and 54 of 82 (65.9%) in the 180 group (P = 0.0046). In a time-to-first infection analysis, being in the 140 group resulted in a hazard ratio of 0.54 (95% confidence interval, 0.35 to 0.83; P = 0.004); the difference between the 2 groups was statistically significant at 1 month (P = 0.008). The number with adjudicated transplant rejection was similar between the 2 groups [17 of 82 (20.7%) and 20 of 82 (24.3%) in the 140 and 180 groups, respectively; P = not significant]. Severe hypoglycemia (BG ≤40 mg/dL) occurred in 3 patients (2 in the 140 group and 1 in the 180 group). However, more patients had moderate hypoglycemia (BG, 41 to 70 mg/dL) in the 140 group [27 of 82 (32.9%) vs 10 of 82 (12.2%) in the 180 group; P = 0.003]. Insulin-related hypoglycemia was not associated with the incidence of severe adverse outcomes. Conclusions: Glycemic control of 140 mg/dL safely resulted in a reduced incidence of infection after transplantation compared with 180 mg/dL, but with an increase in moderate hypoglycemia.

EVALUATION OF OUTCOMES AND COMPLICATIONS IN PATIENTS WHO EXPERIENCE HYPOGLYCEMIA AFTER CARDIAC SURGERY.

OBJECTIVE: The objective of the study was to elucidate 30-day and long-term outcomes in patients experiencing postoperative hypoglycemia. METHODS: We conducted a retrospective review of patients who underwent cardiac surgery between September 4, 2007, and April 30, 2011, at Northwestern Memorial Hospital who had intensive treatment of hyperglycemia postoperatively. Of 1,325 patients, 215 experienced a hypoglycemic episode (blood glucose <70 mg/dL) within the first 3 postoperative days. A total of 198 were propensity-score (PS) matched to 363 patients without hypoglycemia. The analysis consisted of a comparison of 30-day cardiac outcomes and long-term mortality between those who experienced a hypoglycemic event and those who did not. RESULTS: Between patients who experienced hypoglycemia compared to those that did not, there were no significant differences in mean glucose values while on insulin drips (119.8 ± 33.5 mg/dL vs. 120.9 ± 30.5 mg/dL; P = .69) or subcutaneous insulin (122.0 ± 38.0 mg/dL vs. 127.2 ± 35.5 mg/dL; P = .11) or postoperative surgical complication rates (30-day mortality: 3.5% vs. 1.7%; complications (any): 40% vs. 42%; 30-day re-admissions: 13% vs. 13%; all cardiac complications: 35% vs. 31%; and all infections: 8% vs. 5%). Over an average of 5.1 ± 2.2 years following index surgery, there was higher all-cause mortality among those PS-matched who had experienced hypoglycemia compared to those who had not (log-rank P = .031), primarily due to those (n = 32) experiencing more than one episode of hypoglycemia. CONCLUSION: Postoperative hypoglycemia did not negatively impact immediate surgical complication rates but was associated with a significant risk of increased postoperative morbidity and long-term all-cause mortality in patients experiencing multiple episodes of hypoglycemia. ABBREVIATIONS: BG = blood glucose BMI = body mass index CARD = Cardiovascular Research Database HR = hazard rate PS = propensity score.

INPATIENT HYPOGLYCEMIC EVENTS IN A COMPARATIVE EFFECTIVENESS TRIAL FOR GLYCEMIC CONTROL IN A HIGH-RISK POPULATION.

OBJECTIVE: Inpatient hypoglycemia (glucose ≤70 mg/dL) is a limitation of intensive control with insulin. Causes of hypoglycemia were evaluated in a randomized controlled trial examining intensive glycemic control (IG, target 140 mg/dL) versus moderate glycemic control (MG, target 180 mg/dL) on post-liver transplant outcomes. METHODS: Hypoglycemic episodes were reviewed by a multidisciplinary team to calculate and identify contributing pathophysiologic and operational factors. A subsequent subgroup case control (1:1) analysis (with/without) hypoglycemia was completed to further delineate factors. A total of 164 participants were enrolled, and 155 patients were examined in depth. RESULTS: Overall, insulin-related hypoglycemia was experienced in 24 of 82 patients in IG (episodes: 20 drip, 36 subcutaneous [SQ]) and 4 of 82 in MG (episodes: 2 drip, 2 SQ). Most episodes occurred at night (41 of 60), with high insulin amounts (44 of 60), and during a protocol deviation (51 of 60). Compared to those without hypoglycemia (n = 127 vs. n = 28), hypoglycemic patients had significantly longer hospital stays (13.6 ± 12.6 days vs. 7.4 ± 6.1 days; P = .002), higher peak insulin drip rates (17.4 ± 10.3 U/h vs. 13.1 ± 9.9 U/h; P = .044), and higher peak insulin glargine doses (36.8 ± 21.4 U vs. 26.2 ± 24.3 U; P = .035). In the case-matched analysis (24 cases, 24 controls), those with insulin-related hypoglycemia had higher median peak insulin drip rates (17 U/h vs. 11 U/h; P = .04) and protocol deviations (92% vs. 50%; P = .004). CONCLUSION: Peak insulin requirements and protocol deviations were correlated with hypoglycemia. ABBREVIATIONS: DM = diabetes mellitus ICU = intensive care unit IG = intensive glycemic control MELD = Model for End-stage Liver Disease MG = moderate glycemic control SQ = subcutaneous.

Examination of implementation of intravenous and subcutaneous insulin protocols and glycemic control in heart transplant patients.

OBJECTIVE: Perioperative glycemic management is particularly challenging in heart transplant (HT) patients who are on high-dose steroids and subject to surgical stress. The objective of the study was to examine the efficacy and safety of perioperative insulin administration in HT patients with and without diabetes. METHODS: Medical records of 71 HT patients from June 1, 2005 to July 31, 2009 whose hyperglycemia was managed by our Glucose Management Service (GMS) were analyzed for up to 1 year after HT. Their daily blood glucose (BG) averages on intravenous (i.v.) insulin drips and subcutaneous (s.q.) insulin, hypoglycemia rates, reasons for hypoglycemia, and deviations from insulin protocols were analyzed. RESULTS: Daily BG averages between diabetic (DM) and nondiabetic (nonDM) patients were not significantly different while on the drip but were significantly different for first 5 days on s.q. (P<.05). The daily insulin glargine doses were similar. No patients developed severe hypoglycemia (BG ≤40 mg/dL) while on drip, and only 2.8% experienced hypoglycemia on s.q. Among 40 episodes of moderate hypoglycemia while on drip, 15 had nurse deviations from protocol prior to the episode. Posttransition day fasting glucose was at goal (mean 124.7 ± 35.4 mg/dL); however 39.4% (28/71) of patients received a transition insulin glargine dose that was different from the amount indicated by protocol. The likelihood of developing moderate hypoglycemia on s.q. was associated with the glargine dose used at the time of transition (odds ratio [OR] 1.03, P = .034). CONCLUSION: Inpatient insulin protocols implemented by a GMS are successful in obtaining glycemic control with minimal side effects in patients with and without diabetes, even when they are on a high-dose steroid regimen.