Fatty liver index is an independent risk factor for all-cause mortality and major cardiovascular events in type 1 diabetes: an 11-year observational study.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD), identified by the Fatty Liver Index (FLI), is associated with increased mortality and cardiovascular (CV) outcomes. Whether this also applies to type 1 diabetes (T1D) has not been yet reported. METHODS: We prospectively observed 774 subjects with type 1 diabetes (males 52%, 30.3 ± 11.1 years old, diabetes duration (DD) 18.5 ± 11.6 years, HbA1c 7.8 ± 1.2%) to assess the associations between FLI (based on BMI, waist circumference, gamma-glutamyl transferase and triglycerides) and all-cause death and first CV events. RESULTS: Over a median 11-year follow-up, 57 subjects died (7.4%) and 49 CV events (6.7%) occurred among 736 individuals with retrievable incidence data. At baseline, FLI was < 30 in 515 subjects (66.5%), 30-59 in 169 (21.8%), and ≥ 60 in 90 (11.6%). Mortality increased steeply with FLI: 3.9, 10.1, 22.2% (p < 0.0001). In unadjusted Cox analysis, compared to FLI < 30, risk of death increased in FLI 30-59 (HR 2.85, 95% CI 1.49-5.45, p = 0.002) and FLI ≥ 60 (6.07, 3.27-11.29, p < 0.0001). Adjusting for Steno Type 1 Risk Engine (ST1-RE; based on age, sex, DD, systolic BP, LDL cholesterol, HbA1c, albuminuria, eGFR, smoking and exercise), HR was 1.52 (0.78-2.97) for FLI 30-59 and 3.04 (1.59-5.82, p = 0.001) for FLI ≥ 60. Inclusion of prior CV events slightly modified HRs. FLI impact was confirmed upon adjustment for EURODIAB Risk Engine (EURO-RE; based on age, HbA1c, waist-to-hip ratio, albuminuria and HDL cholesterol): FLI 30-59: HR 1.24, 0.62-2.48; FLI ≥ 60: 2.54, 1.30-4.95, p = 0.007), even after inclusion of prior CVD. CV events incidence increased with FLI: 3.5, 10.5, 17.2% (p < 0.0001). In unadjusted Cox, HR was 3.24 (1.65-6.34, p = 0.001) for FLI 30-59 and 5.41 (2.70-10.83, p < 0.0001) for FLI ≥ 60. After adjustment for ST1-RE or EURO-RE, FLI ≥ 60 remained statistically associated with risk of incident CV events, with trivial modification with prior CVD inclusion. CONCLUSIONS: This observational prospective study shows that FLI is associated with higher all-cause mortality and increased risk of incident CV events in type 1 diabetes.

Fibrosis-4 score for screening of metabolic dysfunction-associated steatotic liver disease (MASLD): Data from a population-based sample in Tuscany.

BACKGROUND AND AIM: To verify the prevalence of positive Fibrosis-4 (FIB-4) score, a screening test for metabolic-associated liver disease, in a large population-based sample in the Tuscany Italian Region, and to identify sub-populations at higher risk which could be targeted by specific screening programs. METHODS AND RESULTS: Population-based survey performed in the Italian region of Tuscany, with Tuscany health informative system's administrative data. We included 594,923 subjects, of which 32% had available data for the FIB-4 calculation. The overall proportion of subjects with an FIB-4 value > 1.3, was 41.6% of those with available exams, and 12,8% of the whole population, whereas 5.4% and 1.7% had FIB-4 >2.67. In those younger than 80 years, FIB >1.3 had a 33.1% and 9.4%. People with diabetes mellitus had higher figures (52.8.% and 28.9% for FIB>1.3). Among subjects aged 70 years or over, 74.9% of those with available data and 38.4% of the general population had a FIB-4>1.3, whereas 32% and 16% had a FIB-4 > 2. CONCLUSIONS: The relevant proportion of FIB-4 positivity in the general population poses a significant burden for further screening with liver elastography. Targeting people with diabetes, excluding people older than 80 years and/or adopting a FIB-4 threshold of 2 in those aged more than 70 years could increase the cost-effectiveness of the screening procedures.

LDL-cholesterol target levels achievement in high-risk patients: An (un)expected gender bias.

BACKGROUND AND AIMS: Lowering low-density lipoprotein cholesterol (LDL-C) is the cornerstone of cardiovascular disease prevention. Collection of epidemiological data is crucial for monitoring healthcare appropriateness. This analysis aimed to evaluate the proportion of high-risk patients who achieved guidelines recommended LDL-C goal, and explore the predictors of therapeutic failure, with a focus on the role of gender. METHODS AND RESULTS: Health administrative and laboratory data from seven Local Health Districts in Tuscany were collected for residents aged ≥45 years with a history of major adverse cardiac or cerebrovascular event (MACCE) and/or type 2 diabetes mellitus (T2DM) from January 1, 2019, to January 1, 2021. The study aimed to assess the number of patients with optimal levels of LDL-C (<55 mg/dl for patients with MACCE and <70 mg/dl for patients with T2DM without MACCE). A cohort of 174 200 individuals (55% males) was analyzed and it was found that 11.6% of them achieved the target LDL-C levels. Female gender was identified as an independent predictor of LDL-C target underattainment in patients with MACCE with or without T2DM, after adjusting for age, cardiovascular risk factors, comorbidities, and district area (adjusted-IRR 0.58 ± 0.01; p < 0.001). This result was consistent in subjects without lipid-lowering therapies (adjusted-IRR 0.56 ± 0.01; p < 0.001). CONCLUSION: In an unselected cohort of high-risk individuals, females have a significantly lower probability of reaching LDL-C recommended targets. These results emphasize the need for action to implement education for clinicians and patients and to establish clinical care pathways for high-risk patients, with a special focus on women.

Examining potential Long COVID effects through utilization of healthcare resources: a retrospective, population-based, matched cohort study comparing individuals with and without prior SARS-CoV-2 infection.

BACKGROUND: A significant proportion of individuals reports persistent clinical manifestations following SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) acute infection. Nevertheless, knowledge of the burden of this condition-often referred to as 'Long COVID'-on the health care system remains limited. This study aimed to evaluate healthcare utilization potentially related to Long COVID. METHODS: Population-based, retrospective, multi-center cohort study that analyzed hospital admissions and utilization of outpatient visits and diagnostic tests between adults aged 40 years and older recovered from SARS-CoV-2 infection occurred between February 2020 and December 2021 and matched unexposed individuals during a 6-month observation period. Healthcare utilization was analyzed by considering the setting of care for acute SARS-CoV-2 infection [non-hospitalized, hospitalized and intensive care unit (ICU)-admitted] as a proxy for the severity of acute infection and epidemic phases characterized by different SARS-CoV-2 variants. Data were retrieved from regional health administrative databases of three Italian Regions. RESULTS: The final cohort consisted of 307 994 previously SARS-CoV-2 infected matched with 307 994 uninfected individuals. Among exposed individuals, 92.2% were not hospitalized during the acute infection, 7.3% were hospitalized in a non-ICU ward and 0.5% were admitted to ICU. Individuals previously infected with SARS-CoV-2 (vs. unexposed), especially those hospitalized or admitted to ICU, reported higher utilization of outpatient visits (range of pooled Incidence Rate Ratios across phases; non-hospitalized: 1.11-1.33, hospitalized: 1.93-2.19, ICU-admitted: 3.01-3.40), diagnostic tests (non-hospitalized: 1.35-1.84, hospitalized: 2.86-3.43, ICU-admitted: 4.72-7.03) and hospitalizations (non-hospitalized: 1.00-1.52, hospitalized: 1.87-2.36, ICU-admitted: 4.69-5.38). CONCLUSIONS: This study found that SARS-CoV-2 infection was associated with increased use of health care in the 6 months following infection, and association was mainly driven by acute infection severity.

SIRT1 rs7896005 polymorphism affects major vascular outcomes, not all-cause mortality, in Caucasians with type 2 diabetes: A 13-year observational study.

AIMS: SIRT1 exerts effects on ageing and lifespan, as well cardiovascular (CV) disease risk. SIRT1 gene is very polymorph with a few tagging single nucleotide polymorphisms (SNPs) so far identified. Some SNPs, including rs7896005, were associated with type 2 diabetes (T2DM). We aimed to ascertain whether this SNP may be associated with CV disease at baseline as well with these same outcomes and all-cause mortality over a 13-year follow-up. MATERIALS AND METHODS: Genotypes of SIRT1 gene were determined using TaqMan SNP assay. RESULTS: Out of 905 T2DM, 9.1% had the AA genotype, 43.2% the AG, and 47.7% the GG. Hardy-Weinberg Equilibrium was met (minor allele frequency 0.306; p = 0.8899). At baseline, there was no difference across genotypes for sex, age, diabetes duration, CV risk factors, treatments, and microangiopathy. Major CV outcomes, myocardial infarction (MI), any coronary heart disease (CHD), and peripheral artery disease (PAD) were more frequent in GG than in AA/AG (p from 0.013 to 0.027), with no association with cerebrovascular events. By fully adjusted regression, GG remained independently related to major CV outcomes, MI, CHD, and PAD. Over follow-up, we recorded 258 major CV events (28.5%; AA/AG 25.2%, GG 32.2%; p = 0.014) with an adjusted hazard ratio (HR) of GG versus AA/AG of 1.296 (95% CI 1.007-1.668, p = 0.044); 169 coronary events (18.7%; AA/AG 15.4%, GG 22.2%; p = 0.006) with HR 1.522 (1.113-2.080, p = 0.008); 79 (8.7%) hospitalisation for heart failure (AA/AG 7.0%, GG 10.6%; p = 0.045) and HR 1.457 (0.919-2.309, p = 0.109); 36 PAD (4.0%; AA/AG 2.3%, GG 5.8%; p = 0.007) with HR 2.225 (1.057-4.684, p = 0.035). No association was found with cerebrovascular events, end stage renal disease, and all-cause mortality. CONCLUSIONS: The rs7896005 SNP of SIRT1 might play a role in cardiovascular disease, mainly CHD risk in T2DM. Results call for larger association studies as well as studies to ascertain mechanisms by which this variant confers increased risk.

Covid-19 pandemic, diabetes and glycemic control: Results of a retrospective cohort study of 230.000 persons with diabetes in tuscany.

BACKGROUND AND AIMS: The COVID-19 pandemic affected the processes of routine care for chronic patients due to disrupted delivery care. The aim of the present study is to verify the COVID-19 pandemic effects on diabetes control and management. METHODS AND RESULTS: The study was designed as a retrospective observational study, performed on two cohorts of patients with diabetes in 2019 and 2020. Data used for the analyses were gathered from administrative and laboratory databases, which do not include any sensible information on COVID-19. The Tuscany Regional Health Agency is data controller for current administrative databases and has been working to produce available information for policy decision-making. In 2020, in comparison with 2019, a relevant reduction of the number of patients measuring HbA1c was observed during the March-April lockdown, and again during the second pandemic wave in Autumn. A similar pattern was observed for specialist visits for diabetes, for which the introduction of televisits only partly compensated for the reduction of traditional office visits. The number of patients receiving drugs for diabetes each week in 2020 was very similar to 2019. The mean HbA1c values and the proportion of HbA1c values > 8% for each week, were higher during the 2020 Spring and Autumn lockdown. CONCLUSION: COVID-19 pandemic negatively impacts diabetes management, reducing specialist visits and HbA1c determinations during the first and second pandemic wave. Despite a satisfactory continuity in pharmacological treatment, short-term impairment of average glycemic control was detected, particularly in Autumn.

Prevalence of chronic comorbidities in people with multiple sclerosis: descriptive study based on administrative data in Tuscany (Central Italy).

OBJECTIVE: Chronic comorbidities are common in people with multiple sclerosis (PwMS), thus worsening their prognosis and quality of life, and increasing disease burden. The aim of the present study was to evaluate the prevalence of common comorbidities in PwMS in Tuscany (Central Italy) and to compare it with the general population. METHODS: The prevalence of comorbidities, including diabetes, chronic obstructive pulmonary disease (COPD), hypertension, stroke, heart failure (HF), cardiac infarction and ischemic heart disease (IHD), was assessed in PwMS and in general population resident in Tuscany, aged > 20 years, using administrative data. RESULTS: In total, we identified 8,274 PwMS. Among them, 34% had at least one comorbidity, with hypertension being the most common (28.5%). Comparing PwMS with the general population, PwMS had a higher frequency of hypertension and stroke when considering the whole group, and of diabetes, COPD, and IHD when considering sex and age subgroups. This increased risk was especially evident in the young and intermediate age groups, where multiple sclerosis may play an important role as risk factor for some comorbidities. In PwMS, as well as in the general population, prevalence of chronic diseases was higher in males and increased with age. CONCLUSIONS: Comorbidities frequently coexist with multiple sclerosis and they may have an impact on this complex disease, from the health, clinical, and socioeconomic points of view. Therefore, a routine screening of chronic comorbidities should be a crucial step in clinical practice, as well as the promotion of healthy lifestyles to prevent the onset and to reduce their burden.

Chronic polytherapy after myocardial infarction: the trade-off between hospital and community-based providers in determining adherence to medication.

BACKGROUND: The benefits of chronic polytherapy in reducing readmissions and death after myocardial infarction (MI) have been clearly shown. However, real-world evidence shows poor medication adherence and large geographic variation, suggesting critical issues in access to optimal care. Our objectives were to measure adherence to polytherapy, to compare the amount of variation attributable to hospitals of discharge and to community-based providers, and to identify determinants of adherence to medications. METHODS: This is a population-based study. Data were obtained from the information systems of the Lazio and Tuscany Regions, Italy (9.5 million inhabitants). Patients hospitalized with incident MI in 2010-2014 were analyzed. The outcome measure was medication adherence, defined as a Medication Possession Ratio (MPR) ≥ 0.75 for at least 3 of the following drugs: antiplatelets, ß-blockers, ACEI/ARBs, statins. A 2-year cohort-study was performed. Cross-classified multilevel models were applied to analyze geographic variation. The variance components attributable to hospitals of discharge and community-based providers were expressed as Median Odds Ratio (MOR). RESULTS: A total of 32,962 patients were enrolled. About 63% of patients in the Lazio cohort and 59% of the Tuscan cohort were adherent to chronic polytherapy. Women and patients aged 85 years and over were most at risk of non-adherence. In both regions, adherence was higher for patients discharged from cardiology wards (Lazio: OR = 1.58, p < 0.001, Tuscany: OR = 1.59, p < 0.001) and for patients with a percutaneous coronary intervention during the index admission. Relevant variation between community-based providers was observed, though when the hospital of discharge was included as a cross-classified level, in both Lazio and Tuscany regions the variation attributable to hospitals of discharge was the only significant component (Lazio: MOR = 1.30, p = 0.001; Tuscany: MOR = 1.31, p = 0.001). CONCLUSION: Adherence to best practice treatments after MI is not consistent with clinical guidelines, and varies between patient groups as well as within and between regions. The variation attributable to providers is affected by the hospital of discharge, up to two years from the acute episode. This variation is likely to be attributable to hospital discharge processes, and could be reduced through appropriate policy levers.

Obesity as a risk factor for hospitalization in COronaVirus Disease-19 (COVID-19) patients: Analysis of the Tuscany regional database.

BACKGROUND AND AIMS: Aim of the present study is to determine the role of obesity as a risk factor for COronaVirus Disease-19 (COVID-19) hospitalization. METHODS AND RESULTS: This observational study was performed using Istituto Superiore di Sanità (ISS) Tuscany COVID-19 database by the Agenzia Regionale Sanità (ARS), including all COVID-19 cases registered until April 30th, 2020, with reported information on chronic diseases. The principal outcome was hospitalization. An age and gender-adjusted logistic regression model was used to assess the association of clinical and demographic characteristics with hospitalization. Further multivariate models were applied. Of 4481 included subjects (36.9% aged over 70 years), 1907 (42.6%) were admitted to hospital. Obesity was associated with hospitalization after adjusting for age and gender. The association of obesity with hospitalization retained statistical significance in a fully adjusted model, including possible confounders (OR: 2.99 [IC 95% 2.04-4.37]). The effect of obesity was more evident in younger (<70 years) than in older (≥70 years) subjects. CONCLUSIONS: The present data confirm that obesity is associated with an increased risk of hospitalization in patients with COVID-19. Interestingly, the association of obesity with hospitalization was greater in younger (<70 years) patients.

Increasing prevalence of multiple sclerosis in Tuscany, Italy.

BACKGROUND AND RATIONALE: An increase of prevalence and incidence of multiple sclerosis (MS) has been reported in several countries, especially taking into account a long-term evaluation. This increasing trend often reflects improved case identification and ascertainment due to the refinement of diagnostic criteria. The aim of this study was to update the prevalence rate of MS in Tuscany (central Italy) as of 2017, and to assess if there has been an increasing trend of prevalence in this Region considering a short period of analysis, from 2014 to 2017. METHODS: To capture prevalent cases, a case-finding algorithm based on administrative data, previously created and validated, was used. As data sources, we considered hospital discharge records, drug-dispensing records, disease-specific exemptions from copayment to health care, home and residential long-term care, and inhabitant registry. RESULTS: As of January 1, 2017, 7809 cases were identified, of which 69.4% were females and 30.6% were males. Considering temporal variation, an increasing trend was observed, with standardized rates rising from 189.2 in 2014 to 208.7 per 100,000 in 2017. CONCLUSIONS: Results confirm that prevalence increases every year, probably mainly due to the difference between incidence and mortality, resulting in an increasing trend. Moreover, administrative data may accurately identify MS patients in a routinary way and monitor this cohort along disease care pathways.

Measuring multimorbidity inequality across Italy through the multisource comorbidity score: a nationwide study.

BACKGROUND: Multimorbidity is a growing concern for healthcare systems, with many countries experiencing demographic transition to older population profiles. A simple multisource comorbidity score (MCS) has been recently developed and validated. A very large real-world investigation was conducted with the aim of measuring inequalities in the MCS distribution across Italy. METHODS: Beneficiaries of the Italian National Health Service aged 50-85 years who in 2018 were resident in one of the 10 participant regions formed the study population (15.7 million of the 24.9 million overall resident in Italy). MCS was assigned to each beneficiary by categorizing the individual sum of the comorbid values (i.e. the weights corresponding to the comorbid conditions of which the individual suffered) into one of the six categories denoting a progressive worsening comorbidity status. MCS distributions in women and men across geographic partitions were compared. RESULTS: Compared with beneficiaries from northern Italy, those from centre and south showed worse comorbidity profile for both women and men. MCS median age (i.e. the age above which half of the beneficiaries suffered at least one comorbidity) ranged from 60 (centre and south) to 68 years (north) in women and from 63 (centre and south) to 68 years (north) in men. The percentage of comorbid population was lower than 50% for northern population, whereas it was around 60% for central and southern ones. CONCLUSION: MCS allowed of capturing geographic variability of multimorbidity prevalence, thus showing up its value for addressing health policy in order to guide national health planning.

Prevalence and clustering of chronic diseases in Tuscany (Central Italy): evidence from a large administrative data warehouse.

BACKGROUND: chronic diseases and multimorbidity are on the rise and have a great impact on health and services. OBJECTIVES: to assess the prevalence and patterns of chronic diseases. DESIGN: cross-sectional population-based study on administrative data. SETTING AND PARTICIPANTS: the study includes 3,234,276 Tuscany (Central Italy) inhabitants aged over 15, observed as at 01.01.2019. MAIN OUTCOME MEASURES: subjects were classified as affected or not affected by one of the 17 chronic diseases considered, according to administrative data algorithms. Population prevalence was estimated overall and stratified by gender, age range, and socioeconomic level. A factor analysis was performed in order to evaluate multimorbidity. RESULTS: in Tuscany, 444.8 per 1,000 inhabitants aged over 15 have a chronic disease. The prevalence is 463.5 per 1,000 among females and 424.5 per 1,000 among males, but the two age-adjusted prevalences are equal. The prevalence of chronic patients increases with the level of socioeconomic disadvantage. The most frequent disease is hypertension (308.7 per 1,000), followed by dyslipidaemia (251 per 1,000) and diabetes (75.7 per 1,000). Inflammatory rheumatic diseases and neurological diseases are more prevalent among females than males. The prevalence identified among males almost doubles in comparison to females for all other diseases, in particular for circulatory system diseases. Chronic patients suffer from at least two pathologies in 53.2% of cases. On average, males have more diseases than females. The cardiovascular factor (circulatory system diseases and related) and the neurological factor (neurological diseases and mental disorders) emerged from the factor analysis. CONCLUSIONS: this study quantifies the burden of chronic diseases in the population, which is useful information in epidemiology, in clinical practice, and in services management.

[Chronic diseases and risk of symptomatic COVID-19: results of a case-population study on a sample of patients in the Local Health Unit 'Toscana Centro' (Tuscany Region, Central Italy)]. / Malattie croniche e rischio di ammalarsi di COVID-19 sintomatica: risultati di uno studio case-population su un campione di casi in AUSL Toscana Centro.

BACKGROUND: the COVID-19 pandemic represents a challenge for health systems around the world, with just under 10,000 cases in Tuscany Region (Central Italy) and about 4,500 in the Local Health Unit (LHU) 'Toscana Centro', updated on 11 May 2020. The risk factors reported are several, including age, being male, and some chronic diseases such as hypertension, diabetes, respiratory and cardiovascular diseases. However, the relative importance of chronic diseases is still to be explored. OBJECTIVES: to evaluate the role of chronic diseases on the risk to develop clinically evident (at least mild symptomatic) forms of SARS-CoV-2 infection in the population of the LHU Toscana Centro. DESIGN: case-population study. SETTING AND PARTICIPANTS: 'case' is a subject with SARS-CoV-2 positive swab with at least mild clinical status, who lives in the LHU Toscana Centro area; 'controls' are all people residing in the LHU Toscana Centro area at 1 January 2020. People aged under 30 and patients living in nursing care homes are excluded from the analysis. MAIN OUTCOME MEASURES: the analysis assesses the effect of gender, age, neoplasm, and the main chronic diseases on the onset of an infection with at least mild symptoms by calculating odds ratios (OR) by multivariate logistic regression models (to produce adjusted OR by potential confounders). RESULTS: among the 1,840 cases, compared to the general population, the presence of males and over-60-year-old people is greater. Almost all the considered chronic diseases are more frequent among the cases, compared to the general population. A chronic patient has a 68% greater risk to be positive with at least mild symptoms. Many of the considered diseases show an effect on the risk of getting COVID-19 in a symptomatic form, which remains even adjusting by other comorbidities. The main ones include heart failure, psychiatric disorders, Parkinson's disease, and rheumatic diseases. CONCLUSIONS: these results confirm evidence already shown in other studies on COVID-19 patients and add information on the chronic diseases attributable risk in the population, referred to the symptomatic forms and adjusted by age, gender or the possible copresence of more diseases. These risk estimates should guide prevention interventions by health services in order to protect the chronic patients affected by the pathologies most at risk.

Microvascular complications burden (nephropathy, retinopathy and peripheral polyneuropathy) affects risk of major vascular events and all-cause mortality in type 1 diabetes: a 10-year follow-up study.

BACKGROUND: Microvascular complications (MC) have been claimed to increase the risk for cardiovascular disease in diabetic subjects. However, the effect of MC burden on the risk of major vascular outcomes and all-cause mortality in type 1 diabetes is still poorly explored. We evaluated the relationship between microvascular complications burden and incidence of major cardiovascular events and all-cause mortality in subjects with type 1 diabetes. METHODS: We recruited 774 participants with type 1 diabetes in a single-center observational study over a follow-up of 10.8 ± 2.5 years. Hazard ratios (HR) for cardiovascular outcomes and all-cause death associated with microvascular complications were determined by unadjusted and adjusted Cox regression analysis. RESULTS: Out of 774 individuals, 54.9% had no-MC, 32.3% 1 MC, 9.7% 2 MC and 3.1% 3 MC. A total of 54 deaths (7.0%) occurred. Death rate increased from no-MC 2.1% (Ref) to 1 MC 7.2% (HR 3.54 [95% CI 1.59-7.87]), 2 MC 14.7% (HR 6.41 [95% CI 2.65-15.49]) and 3 MC 66.7% (HR 41.73 [95% CI 18.42-94.57], p < 0.0001). After adjustments, HRs were: 1 MC 2.05 (95% CI 0.88-4.76), 2 MC 1.98 (95% CI 0.75-5.21), 3 MC 7.02 (95% CI 2.44-20.20, p = 0.002). Forty-nine subjects (6.7%) had at least one cardiovascular event, and cumulative incidence went from no-MC 2.2% (Ref) to 1 MC 5.0%; (HR 2.27 [95% CI 0.96-5.38]), 2 MC 26.8% (HR 12.88 [95% CI 5.82-28.50]) and 3 MC 40.9% (HR 29.34 [95% CI 11.59-74.25], p < 0.0001). Upon adjustments, HRs were: 1 MC 1.59 (95% CI 0.65-3.88), 2 MC 4.33 (95% CI 1.75-10.74), 3 MC 9.31 (95% CI 3.18-27.25, p < 0.0001). Thirty-five individuals (4.8%) had at least one coronary event, which cumulative incidence increased with MC burden (p < 0.0001). CONCLUSIONS: In type 1 diabetes, microvascular complications burden increases in an independent dose-dependent manner the risk of major cardiovascular outcomes and all-cause mortality. The presence and number of microvascular complications should be considered in stratifying overall cardiovascular risk in type 1 diabetes.

Patterns and trends of utilization of incretin-based medicines between 2008 and 2014 in three Italian geographic areas.

BACKGROUND: The incretin-based medicines GLP1 analogues (GLP1a) and dipeptidyl peptidase-4 inhibitors (DPP4i) are hypoglycaemic agents licensed for the treatment of type 2 diabetes mellitus (T2DM). Although these drugs possess comparable efficacy and low risk of hypoglycaemia, differences in terms of route of administration (subcutaneous versus oral), effect on body weight and gastrointestinal tolerabily can impact their actual use in clinical practice. This study aimed to describe the real-world utilization of incretin-based medicines in the Italian clinical practice. METHODS: A multi-database, population-based, descriptive, cohort study was performed using administrative data collected between 2008 and 2014 from three Italian geographic areas. Subjects aged ≥18 were selected. New users were defined as those with ≥1 dispensing of GLP1a or DPP4i during the year of interest and none in the past. Trends of cumulative annual incidence of use in the general adult population were observed. New users of GLP1a or DPP4i were respectively described in terms of demographic characteristics and use of antidiabetic drugs during 1 year before and after the first incretin dispensing. RESULTS: The overall study population included 4,943,952 subjects. A total of 7357 new users of GLP1a and 41,907 of DPP4i were identified during the study period. Incidence of use increased between 2008 (0.2‰ for both GLP1a and DPP4i) and 2011 (GLP1a = 0.6‰; DPP4i = 2.5‰) and slightly decreased thereafter. In 2014, 61% of new GLP1a users received once-daily liraglutide while 52% of new DPP4i users received metformin/DPP4i in fixed-dose. The percentage of new DPP4i users older than 65 years of age increased from 30.9 to 62.6% during the study period. Around 12% of new users had not received any antidiabetic before starting an incretin. CONCLUSIONS: During the study period, DPP4i rapidly became the most prescribed incretin-based medicine, particularly among older new user. The choice of the specific incretin-based medicine at first prescription appeared to be directed towards those with higher convenience of use (e.g. oral DPP4i rather than subcutaneous GLP1a, once-daily liraglutide rather than twice-daily exenatide). The non-negligibile use of incretin-based medicines as first-line pharmacotherapy for T2DM warrants further effectiveness and safety evaluations to better define their place in therapy.

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.

BACKGROUND: The 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. METHODS: We 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. RESULTS: Over 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. CONCLUSIONS: Implementation 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.

Identification of prevalent patients with epilepsy using administrative data: the Tuscany experience.

Overall prevalence of epilepsy ranges from 4 to 10 cases per 1000. Italy lacks recent epidemiological studies on large populations. In the present study, prevalence of epilepsy has been assessed in Tuscany, an Italian Region with 3,750,000 habitants, implementing an algorithm based on administrative data from the Regional Information Health System. To identify patients with epilepsy, we used at least one the following criteria: (a) at least one EEG and at least two dispensations of any antiepileptic drug (AEDS) at a minimum distance of 12 months; (b) at least two dispensations of one "specific" AED (authorized for use only for patients with epilepsy) at a minimum distance of 12 months; and (c) hospital admission for epilepsy or recurrent relapses (cod. ICD-IX-345.*). This algorithm was validated through comparison with lists of true patients with epilepsy and subjects without neurological disorders (gold standard). 35,950 cases were identified. Total crude prevalence was 9.6/1000. Prevalence increased in older patients up to 16/1000 without gender differences. Overall sensitivity of the algorithm was 87.3%, and specificity was 99.9%. This algorithm identifies patients with epilepsy with acceptable sensitivity and specificity and can be used to assess the burden of disease and for monitoring health services.

Multiple sclerosis spatial cluster in Tuscany.

Tuscany (Central Italy) is a high-risk area for multiple sclerosis (MS) with a prevalence of 188 cases per 100,000 at 2011, and it is characterized by a heterogeneous geographic distribution of this disease. Our objective was to update prevalence at 2013 and to evaluate the presence of spatial clusters in Tuscany. The MS prevalence was evaluated on 31 December 2013 using a validated case-finding algorithm, based on administrative data. To identify spatial clusters, we calculated standardized morbidity ratios (SMRs) for each Tuscan administrative municipality. In addition to the classical approach, we applied the hierarchical Bayesian model to overcome random variability due to the presence of small number of cases per municipality. We identified 7330 MS patients (2251 males and 5079 females) with an overall prevalence of 195.4/100,000. The SMR for each Tuscan municipality ranged from 0 to 271.4, but this approach produced an extremely non-homogeneous map. On the contrary, the Bayesian map was much smoother than the classical one. The posterior probability (PP) map showed prevalence clusters in some areas in the province of Massa-Carrara, Pistoia, and Arezzo, and in the municipalities of Siena, Florence, and Barberino Val d'Elsa. Our prevalence data confirmed that Tuscany is a high-risk area, and we observed an increasing trend during the time. Using the Bayesian method, we estimated area-specific prevalence in each municipality reducing the random variation and the effect of extreme prevalence values in small areas that affected the classical approach.

Changes in diabetes care introduced by a Chronic Care Model-based programme in Tuscany: a 4-year cohort study.

Background: In 2010, Tuscany (Italy) implemented a Chronic Care Model (CCM)-based programme for the management of chronic diseases. The study's objective was to evaluate its impact on the care of patients with type 2 diabetes. Methods: A population-based cohort study was performed on patients with diabetes, identified by an administrative data algorithm, exposed to a CCM-based programme versus patients not exposed (8486 patients in each group). The groups were matched using a propensity score approach and observed from 2011 to 2014. The outcomes measured were: mortality rate and hazard ratio (HR), hospitalisation incidence rate (IR) (all causes and diabetes-related diseases) and incidence rate ratio (IRR), and Guideline Composite Indicator (GCI) as proxy of adherence to guidelines (IR and IRR). Stratified Cox regression analysis and conditional fixed effect Poisson regression analyses were performed to compute HR and IRR. Results: A significant improvement was observed for GCI (IRR 1.58; 95% CI 1.53­1.62) and for cardiovascular long-term complications (IRR 1.11; 95% CI 1.04­1.18). A protective effect was observed for neurological long-term complications (IRR 0.85; 95% CI 0.76­0.95), acute cardio-cerebrovascular long-term complications­stroke and ST segment elevation myocardial infarction­(IRR 0.81; 95% CI 0.71­0.92) and mortality (HR 0.88; 95% CI 0.81­0.96). Conclusion: The implementation of a CCM-based programme was followed by better management and benefits for the health status of patients. The increase in hospitalisations for cardiovascular long-term complications could engender cost-efficacy issues, but a better integrated care (GPs and specialists) and a more appropriate specialist outpatient services organisation could avoid a part of these, while still maintaining the benefits seen.