Laura Policardo

Prevalence of Multiple Sclerosis in Tuscany (Central Italy): A Study Based on Validated Administrative Data.

Background: Multiple Sclerosis (MS) epidemiology in Italy is mainly based on population-based prevalence studies. Administrative data are an additional source of information, when available, in prevalence studies of chronic diseases such as MS. The aim of our study is to update the prevalence rate of MS in Tuscany (central Italy) as at 2011 using a validated case-finding algorithm based on administrative data. Methods: The prevalence was calculated using an algorithm based on the following administrative data: hospital discharge records, drug-dispensing records, disease-specific exemptions from copayment to health care, home and residential long-term care and inhabitant registry. To test algorithm sensitivity, we used a true-positive reference cohort of MS patients from the Tuscan MS register. To test algorithm specificity, we used another cohort of individuals who were presumably not affected by MS. Results: As at December 31, 2011, we identified 6,890 cases (4,738 females and 2,152 males) with a prevalence of 187.9 per 100,000. The sensitivity of algorithm was 98% and the specificity was 99.99%. Conclusions: We found a prevalence higher than the rates present in literature. Our algorithm, based on administrative data, can accurately identify MS patients; moreover, the resulting cohort is suitable to monitor disease care pathways.

Gender differences in the relationship between diabetes process of care indicators and cardiovascular outcomes

BACKGROUND Adherence to recommended guidelines in the care for diabetes has been demonstrated to significantly prevent the excess risk of hospitalization and mortality for cardiovascular diseases. Aim of this study was to evaluate whether adherence to a standardized process quality-of-care-indicator in diabetes, is able to predict, equally in men and women, first hospitalization or mortality risk after acute myocardial infarction (AMI), ischemic stroke (IS), congestive heart failure (CHF), lower extremity amputations (LEA) or any of above major adverse cardiovascular events (MACE). METHODS Guideline composite indicator (GCI), a process indicator including one annual assessment of HbA1c and at least two among eye examination, serum lipids measurement and microalbuminuria, was measured in the year 2006 in 91 826 (46 167 M/45 659 F) diabetic patients, living in Tuscany (Italy). By a Cox-proportional hazard regression model, the effect of GCI adherence was assessed on adjusted hospitalization mortality risk for AMI, IS, CHF, LEA and MACE in both genders in a follow-up period of 6 years (2007-12). RESULTS After adjusting for covariates, adherence to CGI exerted a significant positive effect on AMI, CHF and LEA outcomes among men, whereas among women, GCI adherence significantly decreased hospitalization risk only for CHF and mortality risk after IS. Finally, GCI adherence significantly reduced hospitalization risk for MACE of about 15% and 11% in men and women, respectively. On the contrary, GCI adherence seemed to have no significant influence on mortality risk after hospitalization for MACE in both genders. CONCLUSION In this cohort, over a 6-year follow-up, GCI adherence was found to be a significant predictor of lower cardiovascular risk, with some evident gender differences.

Effect of diabetes on hospitalization for ischemic stroke and related in-hospital mortality. A study in Tuscany, Italy, over years 2004-2011.

Incidence of ischemic stroke and associated in‐hospital mortality is decreasing in Western populations, while the prevalence of diabetes, a well‐known risk factor for ischemic stroke, is progressively rising. This study was aimed at evaluating the effect of diabetes on ischemic stroke hospitalization and in‐hospital mortality after ischemic stroke.

Hospital incidental diagnosis of diabetes: A population study

AIMS To identify incidental previously unrecognized diabetes (IPUD) among hospitalized patients and corresponding mortality risk in comparison with individuals with known diabetes (KDM). METHODS Out of 214,991 individuals discharged in year 2011 from all hospitals of Tuscany, Italy we retrospectively identified IPUD as individuals with no known diabetes and/or previous antidiabetic medication, receiving at least two prescriptions of glucose-lowering-drugs over the next 6months after discharge. Two-year (2012-2013) adjusted mortality risk was tested by a Cox-regression-analysis, comparing IPUD and KDM patients with at least one hospital admission in 2011. RESULTS 974 patients with IPUD (375.6×100,000 hospitalized people) have been identified. IPUD risk was associated with aging, male gender and greater burden of co-morbidities, was higher in migrants of non-Italian ancestry and was reduced among patients of family physicians adhering to guidelines resulting in a proactive model of care delivery. In IPUD patients alive at 1st January 2012, (n=865) the adjusted risk of two-year mortality was similar to that of KDM subjects (HR=1.08; 95% CI: 0.92-1.26; p=NS). CONCLUSIONS IPUD occurs more commonly in older male subjects, migrants of non-Italian ancestry, and among patients of physicians non-adhering to a shared diabetes care model. People with IPUD have similar two-year-mortality risk compared with KDM individuals.

Effect of statins in preventing hospitalizations for infections: A population study

To investigate whether the hospitalization rate for bacterial infections was modified by statin therapy in a population retrospectively followed up, over years 2011 to 2015.

Multiple sclerosis incidence in Tuscany from administrative data

BackgroundItaly is a high-risk area for multiple sclerosis with 110,000 prevalent cases estimated at January 2016 and 3400 annual incident cases. To study multiple sclerosis epidemiology, it is preferable to use population-based studies, e.g., with a registry. A valid alternative to obtain data on entire population is from administrative sources.ObjectiveTo estimate the incidence of multiple sclerosis in Tuscany using a case-finding algorithm based on administrative data.MethodsIn a previous study, we calculated the prevalence in Tuscany using a validated case-finding algorithm based on administrative data. Incident cases were identified as a subset of prevalent cases among those patients not traced in the years before the analysis period, and the date of the first multiple sclerosis-related claim was considered the incidence date of multiple sclerosis diagnosis. We examined the period 2011–2015.ResultsWe identified 1147 incident cases with annual rates ranged from 5.60 per 100,000 in 2011 to 6.58 in 2015.ConclusionsWe found a high incidence rate, similarly to other Italian areas, especially in women, that may explain the increasing prevalence in Tuscany. To confirm this data and to calculate the possible bias caused by our inclusion method, we will validate our algorithm for incident cases.

Frequency of drug combinations between enzyme-inducing first-generation antiepileptic drugs and inducible drugs in patients with epilepsy

OBJECTIVE The objective of the study was to systematically assess, through the analysis of administrative data, the frequency of combinations of first-generation enzyme-inducing (EI) antiepileptic drugs (AEDs) with drugs frequently prescribed in patients with epilepsy whose metabolism is induced by EIAEDs. METHODS From the population of Tuscany (a region in Italy of about 3,750,000 habitants), patients who had been treated with at least one first-generation EIAEDs (carbamazepine, phenytoin, phenobarbital, and primidone) and had received prescriptions of an inducible non-AED (NON-AED) included in a prespecified list of 103 inducible drugs were identified. RESULTS At the index date, 9221 patients with epilepsy were treated with at least one traditional EIAED, and there were 2538 drug combinations between EIAEDs and NON-AEDs, which may result in potentially serious clinical consequences, and 3317 combinations with NON-AEDs that have their metabolism consistently increased. CONCLUSIONS Patients with epilepsy treated with traditional EIAEDs are at a very high risk of drug interactions.

Opposite trends in hospitalization and mortality after implementation of a chronic care model-based regional program for the management of patients with heart failure in primary care

BackgroundThe chronic care model (CCM) is an established framework for the management of patients with chronic illness at the individual and population level. Its application has been previously shown to improve clinical outcome in several conditions, but the prognostic impact of CCM-based programs for the management of patients with chronic heart failure (HF) in primary care is still to be elucidated.MethodsWe assessed the prognostic impact of a primary-care, CCM-based project applied in Tuscany, Italy, in 1761 patients with chronic HF enrolled in a retrospective matched cohort study. The project was based on predefined working teams including general practitioners and nurses, proactively scheduled regular follow-up visitations for each patient, counseling for therapy adherence and lifestyle modifications, appropriate diagnostic and therapeutic pathways according to international guidelines, and a key supporting role of the nurses, who were responsible for the practical coordination of the follow-up. A matched group of 3522 HF subjects assisted by general practitioners not involved in the project was considered as control group. The endpoints of this study were HF hospitalization and all-cause mortality.ResultsOver a 4-year follow-up period, HF hospitalization rate was higher in the CCM group than the controls (12.1 vs 10.3 events/100 patient-years; incidence rate ratio 1.15[1.05-1.27], p = 0.0030). Mortality was lower in the CCM group than the controls (10.8 vs 12.6 events/100 patient-years; incidence rate ratio 0.82[0.75-0.91], p < 0.0001). In multivariable analysis, the CCM status was associated with a 34% higher risk of HF hospitalization and 18% lower risk of death (p < 0.0001 for both). The effect on HF hospitalization was mostly driven by a 50% higher rate of planned HF hospitalization.ConclusionsImplementation of a CCM-based program for the management of HF patients in primary care led to reduced mortality and increased HF hospitalization. These findings support the hypothesis that the beneficial effects of CCM on survival might be extended to patients with chronic HF followed in primary care, but also support the need for further strategies aimed at improving the management of these patients in terms of hospitalizations.