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Background: Enhanced de-novo collagen type VI (COL VI) formation has been associated with kidney and cardiovascular fibrosis. We hypothesized that endotrophin (ETP), a product specifically generated during collagen type VI formation, may be prognostic for heart failure (HF), cardiovascular death (CVD), kidney endpoints, and all-cause mortality in patients with type 2 diabetes., Methods: We measured ETP in plasma (P-ETP) and urine (U-ETP) samples collected at baseline and follow-up (year 3) from the randomized controlled trial, CANagliflozin cardioVascular Assessment Study (CANVAS), by use of the PRO-C6 ELISA measuring COL VI formation and ETP. At baseline, plasma and urine samples were available for 3531 and 3423 patients, respectively. At year 3, plasma and urine samples were available for 2178 (61.7%) and 2070 (60.5%) patients, respectively Patients were followed for a median of 6.1 years, and endpoints included: incident HF, CVD, three kidney composite endpoints, and all-cause mortality. Backward selection was used to identify variables to be included in the analyses. Robustness of the association with outcome was assessed by bootstrap analyses., Results: In univariable analysis, P-ETP predicted all investigated outcomes (all p < 0.0001), remained independently associated with all outcomes after adjustment for conventional risk factors (all p < 0.004), and increased C-statistics of the models for the outcomes HF, CVD, HFCVD, all-cause mortality, and kidney composite 2 (ΔC ≥ 0.002). In bootstrap analysis, P-ETP was retained with a frequency ranging from 41.0 to 98.4% for all outcomes. Levels of U-ETP were associated with outcomes in univariable analysis, but associations with most outcomes were lost after adjustment for conventional risk factors. The increase in P-ETP over time was greater with increasing albuminuria stage (p < 0.0001) and was independently associated with the kidney endpoints (p < 0.03). In the placebo arm, the increase in P-ETP was prognostic for all-cause mortality (HR [95% CI]; 1.14 [1.05-1.23], p = 0.003). Whereas levels of P-ETP were not impacted by treatment, levels of U-ETP significantly increased with canagliflozin treatment., Conclusions: P-ETP generated during COL VI formation predicts cardiovascular, kidney and mortality outcomes in patients with type 2 diabetes. As ETP identifies patients at increased risk of experiencing relevant outcomes, it may be used for patient enrichment in future clinical trials. Trial Registry Number (ClinicalTrials.gov Identifier): NCT01032629., (© 2022. The Author(s).)

Objective: We investigated endotrophin, a profibrotic signaling molecule reflecting collagen VI formation, in serum and urine as risk marker for complications to type 2 diabetes., Research Design and Methods: Endotrophin was measured in 774 individuals with type 2 diabetes. Outcomes included a composite kidney end point, first major adverse cardiovascular event (MACE), mortality, progression of albuminuria, incident heart failure, and sight-threatening eye disease. Adjusted Cox proportional hazards models were applied., Results: Doubling of serum endotrophin was associated with the kidney end point (n = 49; hazard ratio 1.80 [95% CI 1.13-2.87]), first MACE (n = 66; 1.54 [1.04-2.28]), mortality (n = 156; 1.69 (1.31-2.19]), and incident heart failure (n = 42; 1.63 [1.02-2.60]). A doubling of urine endotrophin was associated with progression of albuminuria (n = 85; 1.20 [1.04-1.39])., Conclusions: Serum endotrophin was a risk marker for mortality and kidney and cardiovascular complications in type 2 diabetes. Urine endotrophin was a marker for albuminuria progression., (© 2022 by the American Diabetes Association.)

This study compared the survival and the risk of heart failure (HF), chronic obstructive pulmonary disease (COPD), diabetes mellitus (DM), hypoglycemia, and renal failure (RF) hospitalizations in geriatric patients exposed to carvedilol or metoprolol. Data sources were Danish administrative registers. Patients aged ≥65 and having HF, COPD, and DM were followed for 1 year from the first β-blocker prescription redemption. Patients' characteristics were used to 1:1 propensity score match carvedilol and metoprolol users. A Cox regression model was used to compute the hazard ratio (HR) of study outcomes. For statistically significant associations, a conditional inference tree was used to assess predictors most associated with the outcome. In total, 1,424 patients were included. No statistically significant differences were observed for survival (HR 0.86; 95% confidence interval [CI] 0.67 to 1.11, p = 0.240) between carvedilol/metoprolol users. The same applied to COPD (HR 0.88; 95% CI 0.75 to 1.05, p = 0.177), DM (HR 0.95; 95% CI 0.82 to 1.10, p = 0.485), hypoglycemia (HR 0.88; 95% CI 0.47 to 1.67, p = 0.707), and RF (HR 1.25; 95% CI 0.93 to 1.69, p = 0.142) hospitalizations. Carvedilol users had a 38% higher hazard then metoprolol users of HF hospitalization during the follow-up period (HR 1.38; 95% CI 1.19 to 1.60, p <0.001). Artificial intelligence identified carvedilol exposure as the most important predictor for HF hospitalization. In conclusion, we found an increased risk of HF hospitalization for carvedilol users with this triad of diseases but no statistically significant differences in survival or risk of COPD, DM, hypoglycemia, and RF hospitalizations., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Clinical guidelines suggest that for patients with heart failure and concurrent chronic obstructive pulmonary disease (COPD), metoprolol/bisoprolol/nebivolol should be preferred over carvedilol. However, studies suggest a high proportion of carvedilol usage that remains unexplained. Therefore, we aimed to investigate the predictors of carvedilol choice in patients with heart failure and COPD that were naïve to carvedilol or metoprolol/bisoprolol/nebivolol. Caserta Local Health Unit databases (Italy) were used as data sources. Age, sex, chronic/acute comorbidities, and co-medications were included in a logistic regression model to assess predictors of carvedilol choice. Chronic comorbidities include those defined in the Elixhauser comorbidity index and all hospitalizations within two years prior to the first beta-blocker prescription. Comedications include all redeemed prescriptions within one year prior to the beta-blocker prescription. Kernel density estimations were used to assess the overlap in propensity and preference scores distributions for receiving carvedilol and thereby potential beta-blocker exchangeability. Totally, 10091 patients composed the study population; 2011 were exposed to carvedilol. The overlapping of propensity scores distributions was 57%. Accordingly, the exchangeability was not reached. Atrioventricular block (Odds Ratio, OR 8.20; 95% Confidence Interval, 95% CI 1.30-51.80), cerebrovascular thrombosis (OR 7.06; 95% CI 1.14-43.68), chronic kidney disease (OR 4.32; 95% CI 1.16-16.02), and acute heart failure (OR 1.97; 95% CI 1.28-3.03) hospitalizations were statistically significantly associated with carvedilol choice. Analogously, human insulin (OR 3.00; 95% CI 1.24-7.24), fondaparinux (OR 2.47; 95% CI 1.17-5.21) or strontium ranelate (OR 2.03; 95% CI 1.06-3.90) redeemed prescriptions. In conclusion, this study suggests the absence of beta-blockers exchangeability and a preferential choice of carvedilol in patients with heart failure, COPD and concurrent chronic kidney disease, atrioventricular block, cerebrovascular thrombosis, acute heart failure or redeeming human insulin, fondaparinux or strontium ranelate prescriptions. Therefore, it suggests that choice of prescribing carvedilol over metoprolol/bisoprolol/nebivolol is driven by differences in comorbidities and co-treatments.

Aim: To investigate type III collagen (COL III) turnover in participants from the CANVAS Program biomarker substudy. Methods: Biomarkers of COL III formation (PRO‐C3) and COL III degradation fragments (C3M and CTX‐III) were assessed in baseline and year 3 plasma from patients enrolled in CANVAS, investigating the effect of canagliflozin in participants with type 2 diabetes. The clinical outcomes investigated in this study were hospitalization for heart failure, cardiovascular death and all‐cause mortality. Results: Higher levels of PRO‐C3 and C3M at baseline were associated with an increased incidence of all investigated outcomes, whereas levels of CTX‐III at baseline were not associated with any of the investigated outcomes. Levels of PRO‐C3 decreased and levels of CTX‐III increased following canagliflozin treatment. An increase from baseline to year 3 in PRO‐C3 in the placebo arm was associated with an increased incidence of cardiovascular outcomes, and in all participants was associated with an increased risk of all‐cause mortality. Conclusions: The changes in PRO‐C3 and CTX‐III reflect a shift in the dynamics of COL3 turnover following treatment with canagliflozin. These biomarkers are promising pharmacodynamic tools that can be used to monitor the impact of canagliflozin treatment and possibly other sodium‐glucose co‐transporter‐2 inhibitors on tissue remodelling in future interventional trials. [ABSTRACT FROM AUTHOR]

Rationale: Long-term clinical implications of beta-blockade in obstructive airway diseases remains controversial. We investigated if within the first 5 years of treatment patients with heart failure and obstructive airway diseases using non β1-adrenoreceptor selective beta-blockers have an increased risk of being hospitalized for all-causes, heart failure, and chronic obstructive pulmonary disease (COPD) when compared to patient using selective beta-blockers. Methods: Carvedilol users were propensity matched 1:1 for co-treatments, age, gender, and year of inclusion in the cohort with metoprolol/bisoprolol/nebivolol users. Cox proportional hazard regression model was used to compare all causes, COPD, and heart failure hospitalization or the beta-blocker discontinuation between cohorts. For statistically significant associations, we computed the rate difference and the attributable risk. Results: Overall, 11,844 patients out of the 51,214 (23.1%) were exposed to carvedilol and 39,370 (76.9%) to metoprolol/bisoprolol/nebivolol. Carvedilol users had a higher hazard for heart failure hospitalization (HR 1.29; 95% Confidence Interval [CI] 1.18–1.40) with 106 (95%CI 76–134; p -value < 0.001) additional cases of heart failure hospitalization per 10000 person-years if compared to metoprolol/bisoprolol/nebivolol users. In all, 26.8% (95%CI 22.5–30.9%; p -value < 0.001) of heart failure hospitalizations in the study population could be attributed to being exposed to carvedilol. Carvedilol users had a higher hazard (HR 1.06; 95%CI 1.02–1.10) of discontinuing the pharmacological treatment with 131 (95%CI 62–201; p -value < 0.001) additional cases of beta-blocker discontinuation per 10000 person-years metoprolol/bisoprolol/nebivolol users. In all, 6.5% (95%CI 3.9–9.0%; p -value < 0.001) of beta-blocker discontinuation could be attributed to being exposed to carvedilol. Conclusion: On long-term follow-up period, carvedilol was associated with a higher risk of heart failure hospitalization and discontinuation if compared to metoprolol/bisoprolol/nebivolol users among patients with heart failure and obstructive airway diseases. [ABSTRACT FROM AUTHOR]

Background: Endotrophin, a collagen type VI-derived peptide, mediates metabolic dysregulation, inflammation, and fibrosis in animal models, but has not been studied in human heart failure (HF). Methods: We examined the association between circulating endotrophin and outcomes in participants suffering from HF with preserved ejection fraction (HFpEF) enrolled in the TOPCAT trial (n=205). Associations were validated in a participant-level meta-analysis (n=810) that included participants with HFpEF from the PHFS study (United States; n=174), PEOPLE cohort (New Zealand; n=168), a randomized trial of vasodilator therapy (United States; n=45), a cohort from Donostia University Hospital and University of Navarra (Spain; n=171), and the TRAINING-HF trial (Spain; n=47). We also assessed associations in HF with reduced ejection fraction in PHFS (n=1,642). Results: Plasma endotrophin levels at baseline were associated with risk of future death (standardized hazard ratio [HR]=1.74; 95% confidence interval [CI]=1.36-2.24; P<0.001) and death or HF-related hospital admission (DHFA; standardized HR=2.11; 95% CI=1.67-2.67; P<0.001) in TOPCAT. Endotrophin improved reclassification and discrimination for these outcomes beyond the MAGGIC risk score and NT-proBNP (N-terminal pro b-type natriuretic peptide). Findings were confirmed in the participant-level meta-analysis. In participants with HF with reduced ejection fraction in PHFS, endotrophin levels were associated with death (standardized HR=1.82; 95% CI=1.66-2.00; P<0.001) and DHFA (standardized HR=1.40; 95% CI=1.31-1.50; P<0.001), but the strength of the latter association was substantially lower than for the MAGGIC risk score (standardized HR=1.93; 95% CI=1.76-2.12) and BNP (standardized HR=1.78; 95% CI=1.66-1.92). Conclusions: Circulating endotrophin levels are independently associated with future poor outcomes in patients with HF, particularly in HFpEF. (Funded by Bristol Myers Squibb; Instituto de Salud Carlos III [Spain] and European Regional Development Fund; European Commission CRUCIAL project; and the U.S. National Institutes of Health National Heart, Lung, and Blood Institute.) [ABSTRACT FROM AUTHOR]