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Certain antihyperglycemic therapies modify cardiovascular and kidney outcomes among patients with type 2 diabetes, but early uptake in practice appears restricted to particular demographics. We examine the association of Medicaid expansion with use of and expenditures related to antihyperglycemic therapies among Medicaid beneficiaries.

We employed a difference-in-difference design to analyze the association of Medicaid expansion on prescription of noninsulin antihyperglycemic therapies. We used 2012-2017 national and state Medicaid data to compare prescription claims and costs between states that did (

= 25) and did not expand (

= 26) Medicaid by January 2014.

Following Medicaid expansion in 2014, average noninsulin antihyperglycemic therapies per state/1,000 enrollees increased by 4.2%/quarter in expansion states and 1.6%/quarter in nonexpansion states. For sodium-glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide 1 receptor agonists (GLP-1RA), quarterly growth rates per 1,000 ension states, with a significantly greater increase in overall use and in GLP-1RA use in expansion states. Future evaluation of the population-level health impact of expanded access to these therapies is needed.

The role of fibrosis in early progressive renal decline in type 2 diabetes is unknown. Circulating WFDC2 (WAP four-disulfide core domain protein 2) and matrix metalloproteinase 7 (MMP-7; Matrilysin) are postulated to be biomarkers of renal fibrosis. GS-4224 nmr This study examined an association of circulating levels of these proteins with early progressive renal decline.

Individuals with type 2 diabetes enrolled in the Joslin Kidney Study with an estimated glomerular filtration rate (eGFR) ≥60 mL/min/1.73 m

were monitored for 6-12 years to ascertain fast early progressive renal decline, defined as eGFR loss ≥5 mL/min/1.73 m

/year.

A total of 1,181 individuals were studied 681 without and 500 with albuminuria. Median eGFR and albumin-to-creatinine ratio (ACR) at baseline were 97 mL/min/1.73 m

and 24 mg/g, respectively. During follow-up, 152 individuals experienced fast early progressive renal decline 6.9% in those with normoalbuminuria and 21% with albuminuria. In both subgroups, the risk of renal decline incrine.

We systematically explored the link of pancreatic iron with glucose metabolism and with cardiac complications in a cohort of 1,079 patients with thalassemia major (TM) enrolled in the Extension-Myocardial Iron Overload in Thalassemia (E-MIOT) project.

MRI was used to quantify iron overload (T2* technique) and cardiac function (cine images) and to detect macroscopic myocardial fibrosis (late gadolinium enhancement technique). Glucose metabolism was assessed by the oral glucose tolerance test (OGTT).

Patients with normal glucose metabolism showed significantly higher global pancreas T2* values than patients with impaired fasting glucose, impaired glucose tolerance, and diabetes. A pancreas T2* <13.07 ms predicted an abnormal OGTT. A normal pancreas T2* value showed a 100% negative predictive value for disturbances of glucose metabolism and for cardiac iron. Patients with myocardial fibrosis showed significantly lower pancreas T2* values. Patients with cardiac complications had significantly lower pancreas T2* values. No patient with arrhythmias/heart failure had a normal global pancreas T2*.

Pancreatic iron is a powerful predictor not only for glucose metabolism but also for cardiac iron and complications, supporting the close link between pancreatic iron and heart disease and the need to intensify iron chelation therapy to prevent both alterations of glucose metabolism and cardiac iron accumulation.

Pancreatic iron is a powerful predictor not only for glucose metabolism but also for cardiac iron and complications, supporting the close link between pancreatic iron and heart disease and the need to intensify iron chelation therapy to prevent both alterations of glucose metabolism and cardiac iron accumulation.

To investigate the association between treatment-induced change in continuous glucose monitoring (CGM) time in range (TIR) and albuminuria in persons with type 1 diabetes (T1D) treated with sensor-augmented insulin pumps (SAP).

Twenty-six out of 55 participants with albuminuria and multiple daily injection therapy (25% females; median 51 [interquartile range 46-63] years of age; glycated hemoglobin A

(HbA

) 75 [68-88] mmol/mol [9.0% (8.4-10.4%)]; and urinary albumin-to-creatinine ratio (UACR) 89 [37-250] mg/g) were in a randomized controlled trial assigned to SAP therapy for 1 year. Anthropometrics, CGM data, and blood and urine samples were collected every 3 months.

Mean change (95% CI) in percentage of TIR (%TIR) was 13.2% (6.2; 20.2), in HbA

was -14.4 (-17.4; -10.5) mmol/mol (-1.3% [-1.6; -1.0]), and in UACR was -15% (-38; 17) (all

< 0.05). UACR decreased by 19% (10; 28) per 10% increase in %TIR (

= 0.04), 18% (1; 30) per 10 mmol/mol decrease in HbA

(

= 0.07), and 31% per 10-mmHg decrease in mean arterial pressure (

< 0.001).

In this longitudinal study, treatment-induced increase in %TIR was significantly associated with decrease in albuminuria in T1D.

In this longitudinal study, treatment-induced increase in %TIR was significantly associated with decrease in albuminuria in T1D.

To examine the association of diabetes stigma with psychological, behavioral, and HbA

outcomes and to investigate moderation effects of self-esteem, self-efficacy, and/or social support.

The national Second Diabetes MILES - Australia (MILES-2) survey included adults with type 1 diabetes (

= 959, 41% of whom were male, with mean ± SD age 44 ± 15 years), insulin-treated type 2 diabetes (

= 487, 60% male, age 61 ± 9 years), and non-insulin-treated type 2 diabetes (

= 642, 55% male, age 61 ± 10 years). (Un)adjusted linear regression analyses tested the association between diabetes stigma (Diabetes Stigma Assessment Scale [DSAS]) and psychological outcomes (depressive symptoms [eight-item version of the Patient Health Questionnaire (PHQ-8)], anxiety symptoms [Generalized Anxiety Disorder 7-item (GAD-7) questionnaire], and diabetes-specific distress [20-item Problem Areas In Diabetes (PAID) scale]), behavioral outcomes (healthy diet and physical activity [Summary of Diabetes Self-Care Activities (SDSCA)]), and self-reported HbA

.

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