Impact of a chronic care model based on patient empowerment on the management of Type 2 diabetes: effects of the SINERGIA programme.

AIMS: Several chronic care models for diabetes have been implemented in Italy, although conclusive data on their effectiveness are lacking. In the Cusano-Milanino diabetes clinic, patients with Type 2 diabetes with a stable disease/therapy (i.e. a steady level of HbA(1c) without need for therapy changes) are included in the SINERGIA programme: diabetologists, nurses and dietitians empower patients and telemedicine resources are utilized efficiently. METHODS: Clinical outcomes measured in the year before and after the initiation of SINERGIA were compared. A generalized hierarchical linear regression model for repeated measures was used. RESULTS: Altogether, 1004 patients were included; baseline characteristics were (mean ± sd): age 66.6 ± 6.2 years, 54.1% male, diabetes duration 10.8 ± 7.7 years, BMI 29.5 ± 4.8 kg/m(2) , HbA(1c) 6.9 ± 0.9% (52 ± 14 mmol/mol); 72.9% of patients were treated with anti-hypertensive drugs; 32.7% were treated with lipid-lowering drugs. After a median follow-up of 12 months (range 6-24 months), the proportion of patients with HbA(1c) ≤ 7.0% (≤ 53 mmol/mol) increased from 32.7 to 45.8% (P<0.0001), while those with HbA(1c) ≥9% (≥75 mmol/mol) decreased from 10.5 to 4.3% (P<0.0001). Patients with LDL cholesterol <100 mg/dl (<2.59 mmol/l) increased from 40 to 47% (P <0.0001), while those with LDL cholesterol ≥130 mg/dl (≥3.36 mmol/l) decreased from 26.6 to 19.7%; blood pressure levels were slightly improved. The mean number of face-to-face encounters decreased from (median and range) 2.8 (2.3-3.4) to 2.3 (1.9-2.7) (P<0.0001) visits per patient/year. CONCLUSIONS: The SINERGIA model is effective in improving metabolic control and major cardiovascular risk factors, while allowing diabetologists to dedicate more time to patients with more acute disease.

Obesity and changes in urine albumin/creatinine ratio in patients with type 2 diabetes: the DEMAND study.

BACKGROUND AND AIMS: Obesity is a potential risk factor for renal disease in non-diabetic subjects. It remains unclear whether this also applies to diabetic patients. We investigated whether obesity predicted changes in albumin excretion rate in individuals with type 2 diabetes. METHODS AND RESULTS: Fifty Italian diabetes outpatient clinics enrolled a random sample of 1289 patients. A morning spot urine sample was collected to determine urinary albumin/creatinine ratio (ACR) at baseline and after 1 year from the study initiation. Progression of albumin excretion was defined as a doubling in ACR, while regression was defined as a 50% reduction. Multivariate logistic regression analyses were used to evaluate correlates of these outcomes. Data are expressed as odds ratios (OR) with 95% confidence intervals (CI). The risk of progression increased by 7% (OR=1.07; 95%CI 1.00-1.15) for every 5-cm increase in waist circumference measured at baseline, and by 17% (OR=1.17; 95%CI 1.03-1.33) for every one-unit increase in BMI during follow-up. The likelihood of regression was not independently associated with any of the variables investigated. The effect of obesity on progression of ACR was independent of metabolic control, blood pressure, treatment, and baseline level of albumin excretion. CONCLUSIONS: We found a tight link between obesity and changes in albumin excretion in diabetic subjects, suggesting potential benefits of interventions on body weight on end-organ renal damage.

Self-monitoring of blood glucose in non-insulin-treated diabetic patients: a longitudinal evaluation of its impact on metabolic control.

AIMS: In the framework of a nationwide outcomes research programme, we assessed the impact of self-monitoring of blood glucose (SMBG) on metabolic control over 3 years in patients with Type 2 diabetes mellitus (DM2) not treated with insulin. METHODS: The study involved 1896 patients who completed, at 6-month intervals for 3 years, a questionnaire investigating SMBG practice. Clinical information was collected by participating clinicians at the same time intervals. The predictive value of SMBG frequency on long-term metabolic control was estimated using multilevel analysis. The impact of SMBG on metabolic control was also evaluated in distinct and homogeneous subgroups of patients showing different likelihood of performing SMBG, identified using a tree-growing technique (RECPAM). RESULTS: Overall, 22% of the patients were on diet alone and 78% were treated with oral agents; 41% practiced SMBG > or = 1/week (10.3% > or = 1/day). The analysis of metabolic control according to the frequency of SMBG failed to show any significant impact of this practice on HbA1c levels over 3 years. Similarly, changes in SMBG frequency during the study were not related to significant changes in HbA1c levels. RECPAM analysis led to the identification of eight classes, characterized by substantial differences in the likelihood of performing SMBG with a frequency of at least 1/week. Nevertheless, in none of the RECPAM classes identified, did SMBG predict a better metabolic control over 3 years of follow-up. In those RECPAM classes indicating that SMBG was mainly performed to avoid hypoglycaemic episodes, SMBG was associated with a decrease in the frequency of hypoglycaemic episodes during the study. CONCLUSIONS: In a large sample of non-insulin-treated Type 2 diabetic patients, the performance and frequency of SMBG did not predict better metabolic control over 3 years. We could not identify any specific subgroups of patients for whom SMBG practice was associated with lower HbA1c levels during the study.