Among patients with unstable angina or myocardial infarction without ST-segment elevation, prasugrel did not significantly reduce the frequency of the primary end point, as compared with clopidogrel, and similar risks of bleeding were observed. (Funded by Eli Lilly and Daiichi Sankyo; TRILOGY ACS ClinicalTrials.gov number, NCT00699998.).

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IntroductionChronic kidney damage is routinely assessed semiquantitatively by scoring the amount of fibrosis and tubular atrophy in a renal biopsy sample. Although image digitization and morphometric techniques can better quantify the extent of histologic damage, we need more widely applicable ways to stratify kidney disease severity.MethodsWe leveraged a deep learning architecture to better associate patient-specific histologic images with clinical phenotypes (training classes) including chronic kidney disease (CKD) stage, serum creatinine, and nephrotic-range proteinuria at the time of biopsy, and 1-, 3-, and 5-year renal survival. Trichrome-stained images processed from renal biopsy samples were collected on 171 patients treated at the Boston Medical Center from 2009 to 2012. Six convolutional neural network (CNN) models were trained using these images as inputs and the training classes as outputs, respectively. For comparison, we also trained separate classifiers using the pathologist-estimated fibrosis score (PEFS) as input and the training classes as outputs, respectively.ResultsCNN models outperformed PEFS across the classification tasks. Specifically, the CNN model predicted the CKD stage more accurately than the PEFS model (κ = 0.519 vs. 0.051). For creatinine models, the area under curve (AUC) was 0.912 (CNN) versus 0.840 (PEFS). For proteinuria models, AUC was 0.867 (CNN) versus 0.702 (PEFS). AUC values for the CNN models for 1-, 3-, and 5-year renal survival were 0.878, 0.875, and 0.904, respectively, whereas the AUC values for PEFS model were 0.811, 0.800, and 0.786, respectively.ConclusionThe study demonstrates a proof of principle that deep learning can be applied to routine renal biopsy images.

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Published data regarding the approach to management of diabetes mellitus in solid organ transplant (SOT) recipients are limited. We performed a retrospective chart review of SOT recipients with diabetes, above 18 years of age, who were usisng dulaglutide. There was a sustained, statistically significant reduction in the primary endpoints of weight, body mass index (BMI) and insulin requirement in 63 SOT recipients at 6, 12 and 24 months, respectively. A total of 59, 50 and 13 recipients were followed during 6, 12 and 24 months, with a mean paired difference for weight reduction of 2.07 (P value <0.003), 4.007 (P value <0.001) and 5.23 (P value <0.034) kgs and a BMI reduction of 0.80 (P value <0.001), 1.35 (P value <0.005) and 2.015 (P value <0.045) kg/m 2 , respectively. The mean paired difference for insulin reduction before and after dulaglutide treatment was 5.94 units (P value <0.0002). There was no increased risk of malignancy, cardiovascular morbidity, graft-failure or all-cause mortality. Gastrointestinal manifestations were rare, even in patients with advanced chronic kidney disease (CKD), and required no change in immunosuppressive agents. Thus, dulaglutide may be considered an important option for diabetes management in SOT. K E Y W O R D S dulaglutide, GLP-1 receptor agonist, post-transplant diabetes mellitus, solid organ transplantation

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are gaining popularity in the management of diabetes in solid organ transplant (SOT) recipients. There are no studies available comparing the two GLP-1RAs dulaglutide and liraglutide in SOT. We performed a retrospective chart review to assess the safety and effectiveness of these agents in adult SOT with diabetes at 6, 12 and 24 months. There were 63 and 25 recipients on dulaglutide and liraglutide, respectively. There was a sustained

Hyperglycemia, in both diabetic and nondiabetic patients, has a significant negative impact on the morbidity and mortality of patients presenting with an acute myocardial infarction (AMI). Contemporary evidence indicates that persistent hyperglycemia after initial hospital admission continues to exert negative effects on AMI patients. There have been a number of studies demonstrating the benefit of tight glucose control in patients presenting with AMI, but a lack of convincing clinical data has led to loose guidelines and poor implementation of glucose targets for this group of patients. The CREATE-ECLA study, which hypothesized that a fixed high dose of glucose, insulin, and potassium (GIK) would change myocardial substrate utilization from free fatty acids to glucose and therefore protect ischemic myocardium, failed to demonstrate improved clinical outcomes in AMI patients. Studies that specifically investigated intensive insulin therapy, including DIGAMI-2 and HI-5, also failed to improve clinical outcomes such as mortality. There are a number of reasons that these trials may have fallen short, including the inability to reach glucose targets and inadequate power. There is now a need for a large placebo-controlled randomized trial with an adequate sample size and adherence to glucose targets in order to establish the benefit of treating hyperglycemia in patients presenting with AMI.

The mortality benefit with low-dose rivaroxaban in ACS patients was first demonstrated in ATLAS ACS2 TIMI-51 trial. With its rapid oral bioavailability, predictable PK, low drug-drug interaction and no need for monitoring, the use of low-dose rivaroxaban in addition to dual antiplatelet therapy offers an appealing new option in improving outcomes following ACS in the modern era of novel oral FXa inhibitors.