Automated Insulin Delivery Systems as a Treatment for Type 2 Diabetes Mellitus: A Review.

OBJECTIVE: Approximately 6.3% of the worldwide population has type 2 diabetes mellitus (T2DM), and the number of people requiring insulin is increasing. Automated insulin delivery (AID) systems integrate continuous subcutaneous insulin infusion and continuous glucose monitoring with a predictive control algorithm to provide more physiologic glycemic control. Personalized glycemic targets are recommended in T2DM owing to the heterogeneity of the disease. Based on the success of hybrid closed-loop systems in improving glycemic control and safety in type 1 diabetes mellitus, there has been further interest in the use of these systems in people with T2DM. METHODS: We performed a review of AID systems with a focus on the T2DM population. RESULTS: In 5 randomized controlled trials, AID systems improve time in range and reduce glycemic variability, without increasing insulin requirements or the risk of hypoglycemia. CONCLUSION: AID systems in T2DM are safe and effective in hospitalized and closely monitored settings. Home studies of longer duration are required to assess for long-term benefit and identify target populations of benefit.

A Novel Algorithm for the Management of Inpatient COVID-19 Glucocorticoid-Induced Hyperglycemia.

Hyperglycemia in hospitalized patients with coronavirus disease 2019 (COVID-19) is linked to increased morbidity and mortality. This article reports on a novel insulin titration protocol for the management of glucocorticoid-induced hyperglycemia in hospitalized patients with COVID-19. Sixty-five patients with COVID-19 and glucocorticoid-induced hyperglycemia admitted after the protocol implementation were matched 1:1 to patients admitted before the treatment protocol rollout for analysis. In a large, diverse health system, the protocol achieved reductions in hypoglycemic events without increasing hyperglycemia or insulin use.

C-reactive protein (CRP) as a prognostic biomarker in patients with urothelial carcinoma: A systematic review and meta-analysis.

C-reactive protein (CRP) may reflect a pro-inflammatory tumor microenvironment and could represent a biomarker to select patients with urothelial carcinoma more likely to benefit from therapies directed at modulating tumor-promoting inflammation. We performed a systematic review to evaluate survival outcomes based on pre-treatment CRP values in urothelial carcinoma. The hazard ratios (HRs) of survival such as overall survival (OS) and progression-free survival (PFS) between groups with high versus low CRP values were pooled by the random-effect model meta-analyses. Overall, 28 studies comprising 6789 patients were identified for meta-analyses. High CRP levels were associated with shorter OS (HR=1.96 [95% CI: 1.64-2.33], p < 0.01), particularly in advanced disease treated with immune checkpoint blockade (ICB, HR=1.78 [1.47-2.15], p < 0.01). Similar findings were observed in ICB-treated patients with PFS. These findings suggest that CRP could be an attractive biomarker to select patients with urothelial carcinoma for strategies seeking to modulate tumor-promoting inflammation.

Peripheral blood cytokines and outcomes with immune checkpoint blockade: a systematic review and meta-analysis.

Background: Tumor-promoting inflammation and inflammatory cytokines are linked to immune checkpoint blockade (ICB) resistance. Methods: We assessed the associations between pre-treatment Interleukin-6 (IL-6), Interleukin-8 (IL-8) levels and on-treatment changes in IL-6, IL-8 and C-reactive protein (CRP) with ICB trial end points. Results: 27 studies representing 6,719 patients were included. Low pre-treatment IL-6 levels were associated with improved objective response rate (ORR) (odds ratio (OR) = 0.31 [0.18-0.55]) and better progression-free survival (PFS) (hazard ratio (HR) = 0.59 [0.48-0.72]) and overall survival (OS) [95% confidence interval (CI)] (HR = 0.42 [0.35-0.50]). Low pre-treatment IL-8 levels were associated with improved ORR (OR = 0.47 [0.36-0.61]) and better PFS (HR = 0.65 [0.58-0.74]) and OS (HR = 0.44 [0.39-0.51]). On-treatment decline in CRP was associated with improved ORR (OR = 0.18 [0.11-0.20]), PFS (HR = 0.40 [0.31-0.91]) and OS (HR = 0.48 [0.40-0.58]). Conclusion: Peripheral blood cytokines warrant further evaluation as enrichment and pharmacodynamic biomarkers for strategies targeting tumor-promoting inflammation.

Measuring a substance called C-reactive protein (CRP) in the blood can help predict if cancer treatments that boost the immune system, like immune checkpoint blockers (ICB), will work. CRP levels are increased when there is inflammation in the body, helping cancer cells grow. IL-6 and IL-8 are related blood markers that are more specific to cancer cells and may improve our ability to predict if ICB will effectivity destroy cancer cells. Our study found that having lower levels of IL-6 and IL-8 before treatment and low levels of CRP during treatment might mean patients live longer and respond better to ICB treatments. Measuring IL-6 and IL-8 before treatment and CRP during treatment could help improve how doctors use ICB to treat cancer by managing inflammation that helps cancer grow.

The MAGIC algorithm probability is a validated response biomarker of treatment of acute graft-versus-host disease.

The Mount Sinai Acute GVHD International Consortium (MAGIC) algorithm probability (MAP), derived from 2 serum biomarkers, measures damage to crypts in the gastrointestinal tract during graft-versus-host disease (GVHD). We hypothesized that changes in MAP after treatment could validate it as a response biomarker. We prospectively collected serum samples and clinical stages of acute GVHD from 615 patients receiving hematopoietic cell transplantation in 20 centers at initiation of first-line systemic treatment and 4 weeks later. We computed MAPs and clinical responses and compared their abilities to predict 6-month nonrelapse mortality (NRM) in the validation cohort (n = 367). After 4 weeks of treatment, MAPs predicted NRM better than the change in clinical symptoms in all patients and identified 2 groups with significantly different NRM in both clinical responders (40% vs 12%, P < .0001) and nonresponders (65% vs 25%, P < .0001). MAPs successfully reclassified patients for NRM risk within every clinical grade of acute GVHD after 4 weeks of treatment. At the beginning of treatment, patients with a low MAP that rose above the threshold of 0.290 after 4 weeks of treatment had a significant increase in NRM, whereas patients with a high MAP at onset that fell below that threshold after treatment had a striking decrease in NRM that translated into clear differences in overall survival. We conclude that a MAP measured before and after treatment of acute GVHD is a response biomarker that predicts long-term outcomes more accurately than change in clinical symptoms. MAPs have the potential to guide therapy for acute GVHD and may function as a useful end point in clinical trials.