Efficacy and safety of degludec U100 versus glargine U300 for the early postoperative management of patients with type 2 diabetes mellitus undergoing coronary artery bypass graft surgery: A non-inferiority randomized trial.

AIMS: To compare the efficacy and safety of degludec U100 versus glargine U300 for the early postoperative management of patients with type 2 diabetes mellitus (T2D) undergoing coronary artery bypass graft (CABG) surgery. METHODS: A total of 239 patients were randomly assigned (1:1) to receive a basal-bolus regimen in the early postoperative period using degludec U100 (n = 122) or glargine U300 (n = 117) as basal and glulisine before meals. The primary outcome was mean differences between groups in their daily BG concentrations. The major safety outcome was the occurrence of hypoglycemia. RESULTS: There were no differences in mean daily BG concentrations (157 vs. 162 mg/dl), mean percentage of readings within target BG of 70-180 mg/dl (74% vs. 73%), daily basal insulin dose (19 vs. 21 units/day), length of stay (median [IQR]: 9 vs. 9 days), or hospital complications (21.3% vs. 21.4%) between treatment groups. There were no differences in the proportion of patients with BG <70 mg/dl (15.6% vs. 23.1%) or <54 mg/dl (1.6% vs. 4.3%) between degludec-100 and glargine-300 groups. CONCLUSIONS: Treatment with degludec U100 is as effective and safe as glargine U300 for the early postoperative hospital management of patients with T2D undergoing CABG.

Low skeletal muscle mass is associated with liver fibrosis in individuals with type 2 diabetes and nonalcoholic fatty liver disease.

BACKGROUND AND AIM: Type 2 diabetes (T2D) and low skeletal muscle mass (SMM) are associated with increased risk of nonalcoholic fatty liver disease (NAFLD). However, data regarding the association between low SMM and NAFLD-related liver fibrosis in individuals with T2D are scarce. Therefore, we aimed to investigate the association between low SMM and liver fibrosis in individuals with T2D and NAFLD. METHODS: Controlled attenuation parameter (CAP) of ≥ 248 dB/m was taken as cutoff suggesting NAFLD. Clinically relevant liver fibrosis and advanced liver fibrosis were defined as liver stiffness measurement (LSM) by transient elastography (TE) of ≥ 8.0 and ≥ 9.6 kPa, respectively. SMM was measured using dual energy X-ray absorptiometry (DEXA). Low SMM was defined as appendicular SMM index of < 7.0 kg/m2 for men and < 5.4 kg/m2 for women. RESULTS: Of the 487 consecutive patients with T2D, 366 (75.1%) had NAFLD. Among individuals with NAFLD, 118 (32.2%) and 64 (17.5%) had clinically relevant liver fibrosis and advanced liver fibrosis, respectively. Low SMM was diagnosed in 78 (21.3%) individuals with NAFLD. Patients with low SMM were older (56.1 vs 52.8 years) and had longer duration of diabetes (10.3 vs 8.1 years). Low SMM was an independent risk factor associated with clinically relevant liver fibrosis (P = 0.002) and advanced liver fibrosis (P ≤ 0.0001). Associations between low SMM and clinically relevant- and advanced liver fibrosis were maintained even after sequential adjustment for confounding variables through the multivariate regression analysis. CONCLUSIONS: Low SMM is independently associated with liver fibrosis in individuals with T2D and NAFLD.

Prevalence of clinically relevant liver fibrosis due to nonalcoholic fatty liver disease in Indian individuals with type 2 diabetes.

BACKGROUND AND AIM: Type 2 diabetes (T2D) in associated with higher prevalence and worse outcomes of nonalcoholic fatty liver disease (NAFLD). However, data regarding the prevalence of clinically relevant liver fibrosis (CRLF) in Indian individuals with T2D are scarce. We investigated the prevalence of, and factors associated with, CRLF in Indians with T2D. METHODS: We conducted a prospective study of 601 consecutive adults with T2D. Steatosis was diagnosed using ultrasonography. Liver stiffness measurement (LSM) by transient elastography of ≥8.0 kPa was taken as cutoff suggesting CRLF. Individuals with LSM > 13.0 kPa underwent dynamic magnetic resonance imaging (MRI) of liver for detecting changes consistent with cirrhosis. RESULTS: The prevalence of steatosis was 84.2%. Higher body mass index (BMI, P = 0.022), alanine aminotransferase (ALT; P = 0.001), and lower high-density lipoprotein (HDL; P = 0.002) were independent factors associated with steatosis. The prevalence of CRLF was 28.2%. Higher BMI (P = 0.001), aspartate aminotransferase (AST; P < 0.0001), gamma-glutamyl transpeptidase (GGT; P < 0.0001), and concomitant hypertension (P = 0.03) were independent factors associated with CRLF. Elevated ALT and AST (≥40 units/L) levels were present in 70.6 and 51.6% individuals with CRLF, respectively. Thirty-one (7.2%) individuals had LSM > 13.0 kPa. Among them, 25 individuals underwent dynamic MRI of liver, which revealed features consistent with cirrhosis in 18 patients. CONCLUSION: CRLF, an established risk factor for cirrhosis and overall mortality, affects at least one out of four (25%) Indians with T2D. These results support screening of all patients with T2D and NAFLD for liver fibrosis.

Short term follow-up of patients presenting with acute onset diabetes and diabetic ketoacidosis during an episode of COVID-19.

BACKGROUND AND AIMS: Acute onset diabetes and diabetic ketoacidosis (DKA) can be precipitated by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in individuals with no history of diabetes. However, data regarding the follow-up of these individuals are scarce. METHODS: Three patients (data of two patients already published) with acute onset diabetes and DKA, precipitated by coronavirus disease 2019 (COVID-19), were followed for 14 weeks to assess the behavior of the diabetes. Detailed history, anthropometry, laboratory investigations, imaging studies, clinical course and outcomes were documented. RESULTS: Three individuals developed symptoms suggestive of SARS CoV-2 infection. After a few days, they were detected to have COVID-19 pneumonia, based on reverse transcription-polymerase chain reaction (RT-PCR) assay and chest imaging. In the meantime, they also developed acute onset diabetes and DKA, which were precipitated by COVID-19. They responded well to treatment, including intravenous fluids and insulin. After around one week, they were transitioned to multiple shots of subcutaneous insulin. After about 4-6 weeks, their insulin requirement diminished and oral antihyperglycemic drugs were initiated. At the last follow-up (14 months), they had controlled glycemia with oral antihyperglycemic medicines. CONCLUSIONS: COVID-19 can induce acute onset diabetes and DKA in some individuals with no history of diabetes. These features resemble type 1 diabetes. However, after 4-6 weeks, their requirement for exogenous insulin diminishes and respond to oral antihyperglycemic medications. Long term follow up is required to further understand the type of diabetes induced by SARS CoV-2 infection in these individuals.