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- Cosmi, F., et al.
(författare)
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Treatment with insulin is associated with worse outcome in patients with chronic heart failure and diabetes
- 2018
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Ingår i: European Journal of Heart Failure. - : Wiley. - 1388-9842. ; 20:5, s. 888-895
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Tidskriftsartikel (refereegranskat)abstract
- Aims Up to one-third of patients with diabetes mellitus and heart failure (HF) are treated with insulin. As insulin causes sodium retention and hypoglycaemia, its use might be associated with worse outcomes. Methods and results We examined two datasets: 24 012 patients with HF from four large randomized trials and an administrative database of 4 million individuals, 103 857 of whom with HF. In the former, survival was examined using Cox proportional hazards models adjusted for baseline variables and separately for propensity scores. Fine-Gray competing risk regression models were used to assess the risk of hospitalization for HF. For the latter, a case-control nested within a population-based cohort study was conducted with propensity score. Prevalence of diabetes mellitus at study entry ranged from 25.5% to 29.5% across trials. Insulin alone or in combination with oral hypoglycaemic drugs was prescribed at randomization to 24.4% to 34.5% of the patients with diabetes. The rates of death from any cause and hospitalization for HF were higher in patients with vs. without diabetes, and highest of all in patients prescribed insulin [propensity score pooled hazard ratio for all-cause mortality 1.27 (1.16-1.38), for HF hospitalization 1.23 (1.13-1.33)]. In the administrative registry, insulin prescription was associated with a higher risk of all-cause death [odds ratio (OR) 2.02, 95% confidence interval (CI) 1.87-2.19] and rehospitalization for HF (OR 1.42, 95% CI 1.32-1.53). Conclusions Whether insulin use is associated with poor outcomes in HF should be investigated further with controlled trials, as should the possibility that there may be safer alternative glucose-lowering treatments for patients with HF and type 2 diabetes mellitus.
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| 2. |
- Ceriello, A., et al.
(författare)
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HbA1c variability predicts cardiovascular complications in type 2 diabetes regardless of being at glycemic target
- 2022
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Ingår i: Cardiovascular Diabetology. - : Springer Science and Business Media LLC. - 1475-2840. ; 21:1
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Tidskriftsartikel (refereegranskat)abstract
- Background HbA1c variability has emerged as risk factor for cardiovascular diseases in diabetes. However, the impact of HbA1c variability on cardiovascular diseases in subjects within the recommended HbA1c target has been relatively unexplored. Methods Using data from a large database, we studied 101,533 people with type 2 diabetes without cardiovascular diseases. HbA1c variability was expressed as quartiles of the standard deviation of HbA1c during three years (exposure phase). The primary composite outcome included non-fatal myocardial infarction, non-fatal stroke, all-cause mortality and was assessed during five years following the first three years of exposure to HbA1c variability (longitudinal phase). An expanded composite outcome including non-fatal myocardial infarction, non-fatal stroke, coronary revascularization/reperfusion procedures, peripheral revascularization procedures, and all-cause mortality was also considered, as well as a series of specific cardiovascular complications. Cox models were adjusted for a large range of risk factors and results were expressed as adjusted hazard ratios. Results An association between HbA1c variability and all the outcomes considered was found. The correlation between HbA1c variability and cardiovascular complications development was confirmed in both the subgroups of subjects with a mean HbA1c <= 53 mmol/mol (recommended HbA1c target) or > 53 mmol/mol during the exposure phase. The risk related to HbA1c variability was higher in people with mean HbA1c <= 53 mmol/mol for the primary outcome (p for interaction 0.004), for the expanded secondary outcome (p for interaction 0.001) and for the stroke (p for interaction 0.001), even though HbA1c remained at the target during the follow-up. Conclusions These findings suggest that HbA1c variability may provide additional information for an optimized management of diabetes, particularly in people within the target of HbA1c.
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| 3. |
- Ceriello, A., et al.
(författare)
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Risk factor variability and cardiovascular risk among patients with diabetes: a nationwide observational study
- 2023
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Ingår i: European Journal of Preventive Cardiology. - : Oxford University Press (OUP). - 2047-4873 .- 2047-4881. ; 30:8, s. 719-727
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Tidskriftsartikel (refereegranskat)abstract
- Lay Summary The variability of multiple risk factors is associated with an increased risk of cardiovascular events and mortality in patients with Type 2 diabetes. These variabilities interact with one another to identify classes of patients with an increased risk of having an event.Patients with a high variability of both body weight and systolic blood pressure had the greatest risk of cardiovascular diseases or mortality despite a progressive reduction in the mean level of risk factors.Individuals with high weight variability but low systolic blood pressure variability, patients with moderate/high weight variability associated with high HbA1c variability, subjects with moderate/high weight variability and with low/moderate HbA1c variability, as well as those with low weight variability but high total cholesterol variability also showed a significant increase in the risk of an event. Aims Cardiovascular risk factor control fluctuates, tends to change over time, and is potentially impacted by multifactorial interactions. Currently, the presence of risk factors, rather than their variability or interplay with one another, is taken into account to define the population at risk. The association between variability of risk factors and cardiovascular morbidity and mortality risk among patients with Type 2 diabetes mellitus (T2DM) remains debatable. Methods and results Using registry-derived data, we identified 29 471 people with T2DM, without cardiovascular disease (CVD) at baseline, and with at least five measurements of risk factors. Variability for each variable was expressed as quartiles of the standard deviation during 3 years (exposure). The incidence of myocardial infarction, stroke, and all-cause mortality was assessed during 4.80 (2.40-6.70) years following the exposure phase. The association between the measures of variability and the risk of developing the outcome was investigated through multivariable Cox proportional-hazards regression analysis with stepwise variable selection. Then, the recursive partitioning and amalgamation (RECPAM) algorithm was used to explore the interaction among the variability of risk factors associated with the outcome. An association between the variability of HbA1c, body weight, systolic blood pressure, and total cholesterol with the outcome considered was found. Among the six classes of risk identified by RECPAM, patients with a high variability of both body weight and blood pressure had the highest risk [Class 6, hazard ratio (HR) = 1.81; 95% confidence interval (CI) 1.61-2.05] compared with patients with low variability of both body weight and total cholesterol (Class 1, reference), despite a progressive reduction in the mean level of risk factors during successive visits. Individuals with high weight variability but low-moderate systolic blood pressure variability (Class 5, HR = 1.57; 95% CI 1.28-1.68), patients with moderate/high weight variability associated with high/very high HbA1c variability (Class 4, HR = 1.33; 95% CI 1.20-1.49), subjects with moderate/high weight variability and with low/moderate HbA1c variability (Class 3, HR = 1.12; 95% CI 1.00-1.25), as well as those with low weight variability associated with high/very high total cholesterol variability (Class 2, HR = 1.14; 95% CI 1.00-1.30) also showed a significant increase in the risk of an event. Conclusion Combined high variability of two risk factors, particularly body weight and blood pressure, is associated with cardiovascular risk among patients with T2DM. These findings highlight the importance of continuous balancing of multiple risk factors.
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| 4. |
- Ceriello, A., et al.
(författare)
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Variability in body weight and the risk of cardiovascular complications in type 2 diabetes: results from the Swedish National Diabetes Register
- 2021
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Ingår i: Cardiovascular Diabetology. - : Springer Science and Business Media LLC. - 1475-2840. ; 20:1
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Tidskriftsartikel (refereegranskat)abstract
- Background There is a high incidence of cardiovascular disease in diabetes. Weight variability has been reported as independent risk factor for cardiovascular disease in the general population and preliminarily also in people with type 2 diabetes. Methods Using data from the Swedish National Diabetes Register the possible link between visit-to-visit body weight variability and the risk of cardiovascular complications among people with type 2 diabetes and without prevalent cardiovascular diseases at baseline has been evaluated. Overall, 100,576 people with type 2 diabetes, with at least five measurements of body weight taken over three consecutive years, were included. Variability was expressed as quartiles of the standard deviation of the measures during the three years. The primary composite outcome included non-fatal myocardial infarction, non-fatal stroke, and all-cause mortality and was assessed during five years following the first 3 years of exposure to weight variability. Results After adjusting for known cardiovascular risk factors, the risk of the primary composite outcome significantly increased with increasing body weight variability [upper quartile HR = 1.45; 95% confidence interval 1.39-1.52]. Furthermore, elevated body weight variability was associated with almost all the other cardiovascular complications considered (non-fatal myocardial infarction, non-fatal stroke, all-cause mortality, peripheral arterial disease, peripheral vascular angioplasty, hospitalization for heart failure, foot ulcer, and all-cause mortality). Conclusions High body weight variability predicts the development of cardiovascular complications in type 2 diabetes. These data suggest that any strategy to reduce the body weight in these subjects should be aimed at maintaining the reduction in the long-term, avoiding oscillations.
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| 7. |
- Iaffaldano, P, et al.
(författare)
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Early treatment delays long-term disability accrual in RRMS: Results from the BMSD network
- 2021
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Ingår i: Multiple sclerosis (Houndmills, Basingstoke, England). - : SAGE Publications. - 1477-0970 .- 1352-4585. ; 27:10, s. 1543-1555
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Tidskriftsartikel (refereegranskat)abstract
- The optimal timing of treatment starts for achieving the best control on the long-term disability accumulation in multiple sclerosis (MS) is still to be defined. Objective: The aim of this study was to estimate the optimal time to start disease-modifying therapies (DMTs) to prevent the long-term disability accumulation in MS, using a pooled dataset from the Big Multiple Sclerosis Data (BMSD) network. Methods: Multivariable Cox regression models adjusted for the time to first treatment start from disease onset (in quintiles) were used. To mitigate the impact of potential biases, a set of pairwise propensity score (PS)-matched analyses were performed. The first quintile, including patients treated within 1.2 years from onset, was used as reference. Results: A cohort of 11,871 patients (median follow-up after treatment start: 13.2 years) was analyzed. A 3- and 12-month confirmed disability worsening event and irreversible Expanded Disability Status Scale (EDSS) 4.0 and 6.0 scores were reached by 7062 (59.5%), 4138 (34.9%), 3209 (31.1%), and 1909 (16.5%) patients, respectively. The risk of reaching all the disability outcomes was significantly lower ( p < 0.0004) for the first quintile patients’ group. Conclusion: Real-world data from the BMSD demonstrate that DMTs should be commenced within 1.2 years from the disease onset to reduce the risk of disability accumulation over the long term.
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