Association of kidney disease measures with risk of renal function worsening in patients with type 1 diabetes

Background: Albuminuria has been classically considered a marker of kidney damage progression in diabetic patients and it is routinely assessed to monitor kidney function. However, the role of a mild GFR reduction on the development of stage 653 CKD has been less explored in type 1 diabetes mellitus (T1DM) patients. Aim of the present study was to evaluate the prognostic role of kidney disease measures, namely albuminuria and reduced GFR, on the development of stage 653 CKD in a large cohort of patients affected by T1DM. Methods: A total of 4284 patients affected by T1DM followed-up at 76 diabetes centers participating to the Italian Association of Clinical Diabetologists (Associazione Medici Diabetologi, AMD) initiative constitutes the study population. Urinary albumin excretion (ACR) and estimated GFR (eGFR) were retrieved and analyzed. The incidence of stage 653 CKD (eGFR < 60 mL/min/1.73 m2) or eGFR reduction > 30% from baseline was evaluated. Results: The mean estimated GFR was 98 \ub1 17 mL/min/1.73m2 and the proportion of patients with albuminuria was 15.3% (n = 654) at baseline. About 8% (n = 337) of patients developed one of the two renal endpoints during the 4-year follow-up period. Age, albuminuria (micro or macro) and baseline eGFR < 90 ml/min/m2 were independent risk factors for stage 653 CKD and renal function worsening. When compared to patients with eGFR > 90 ml/min/1.73m2 and normoalbuminuria, those with albuminuria at baseline had a 1.69 greater risk of reaching stage 3 CKD, while patients with mild eGFR reduction (i.e. eGFR between 90 and 60 mL/min/1.73 m2) show a 3.81 greater risk that rose to 8.24 for those patients with albuminuria and mild eGFR reduction at baseline. Conclusions: Albuminuria and eGFR reduction represent independent risk factors for incident stage 653 CKD in T1DM patients. The simultaneous occurrence of reduced eGFR and albuminuria have a synergistic effect on renal function worsening

e-Health and Co-production: Critical Drivers for Chronic Diseases Management.

A progressively ageing population makes the healthcare management of chronic diseases (e.g. heart failure (HF), diabetes, geriatric psychosis) an extremely relevant matter for worldwide national health systems, as chronicity persists for a long time and generally cannot be permanently cured. In order to ensure the economic and social sustainability of treating such diseases, new healthcare business models, based on innovative tools and patients’ participation, should be considered. The adoption of new technologies and the active involvement of patients in the therapeutic pathway might represent fundamental drivers in healthcare delivery innovation. Accordingly, empirical evidence about Chronic Diseases Management, based on new technologies, such as remote monitoring (RM) systems, shows how patients are enabled to actively take part in the follow-up process. This “co-production” approach to the service has shown a reduction in health organizations’ workload for the same level of outcome (e.g. hospitalization rate reduction), suggesting new opportunities in the design of healthcare delivery systems. Moreover, within this evidence, end-users’ (patients and their caregivers) collaboration, i.e. more skilled and ICT-adoption oriented, represents strong support to the medical profession, as well as to patients’ satisfaction and loyalty. Drawing from these premises, this work aims at summarizing Italian empirical evidence highlighted through the case study method) of co-production and telemedicine joint implementation. Specifically, through such evidence, we aim to describe how e-Health and co-production could prove to be crucial organizational drivers in Chronic Diseases Management, both in cost reduction and in service (outcome) innovation

AMD Annals: a model of continuous monitoring and improvement of the quality of diabetes care

OBJECTIVE: in recent years, several initiatives have been launched by the Associazione medici diabetologi (AMD) in the context of a national quality improvement program.These activities include: identification of specific indicators of quality of diabetes care, development of a software to calculate such indicators by using routine clinical data, creation of a network of diabetes clinics and analysis and publication of the results in ad hoc reports (AMD Annals). Through the best performer approach, each centre could compare its own performance not only with the theoretical targets suggested by existing guidelines, but also with the results achieved by the best centres operating within the same healthcare system.We evaluated whether the involvement of diabetes clinics into the AMD Annals initiative improved the quality of care over 4 years. DESIGN: a controlled before and after study was performed to compare data collected from 2004 to 2007 by two groups of centres: group A included centres that had been involved in the project since the first edition of AMD Annals; group B included centres only involved in the last edition. SETTING AND PARTICIPANTS: overall, 124 diabetes clinics provided data on over 100,000 type 2 diabetes patients/year seen from 2004 to 2007. MAIN OUTCOME MEASURES: process indicators included the proportion of patients with at least one measurement of HbA1c, blood pressure and lipid profile during the previous 12 months. Intermediate outcomes included percentages of patients with levels of HbA1c ≤ 7%, blood pressure ≤ 130/85 mmHg and LDL-cholesterol <100 mg/dl (favourable indicators), and the percentages of patients with levels of HbA1c ≥ 9%, blood pressure ≥ 140/90 mmHg and LDL-cholesterol ≥ 130 mg/dl (unfavourable indicators). Percentages of patients treated with insulin, two or more antihypertensive agents, and statins were also evaluated. A multilevel analysis adjusted for age, gender, diabetes duration, and clustering effect was applied to investigate the changes in the indicators between the two groups of centres during 4 years. RESULTS: lipid profile monitoring increased more in group A (+6.2% from 2004 to 2007) than in group B (+2.4%), while HbA1c and blood pressure monitoring did not change over time in both groups. As for the outcomes considered, the percentage of patients with HbA1c ≤ 7% increased by 6% in group A and by 1.3%in group B, while the proportion of patients achieving the blood pressure target increased in group A (+6.4%), but not in group B (-1.4%). A reduction in the percentage of patients with blood pressure ≥ 140/90 mmHg was found in group A (-7.3%) but not in group B (-0.9%). Marked improvements in the proportion of patients with LDL-cholesterol at target were documented in both groups (group A: +10.5%; group B: +12.2%.) The proportion of patients treated with insulin increased in group A only (+5.8%), while the use of statins grew by 20%in both groups.The proportion of individuals treated with two or more antihypertensive drugs increased by 3.6% in group A and by 1.6% in group B. CONCLUSION: the AMD Annals approach can be considered as a case model for quality improvement activities in chronic diseases and a tool to evaluate the level of adoption/acceptance of guidelines in clinical practice. The considerable success documented was obtained without allocation of extra resources or financial incentives but simply through a physician-led effort made possible by the commitment of the specialists involved